Using ADR (Average Daily Range) to ... - Forex Training Group

New to Trading? Here's some tips

So there seems to be a lot of new people on this sub. And makes sense if you have questions a lot of time you'll turn to reddit for the answers (I know I do). Well here are some tips that I think would benefit new traders.
  1. Don't trade ANY Euro pairs. Look I know it's the most traded pair it goes up and down really fast and there's so much potential for you to make money. Turns out there's even more for you to lose money. It's way too volatile specially if you don't know what you're doing. EUUSD is the worst offender.
  2. Trade the Daily. Might think you're cool looking at charts every x amount of times during the day. You get to tell your friends and family that you trade all day and they might be impressed at what you're doing but unless you have some years under you stick to the daily. There's less noise. You can see clearer trends and when you don't stare at the screen all day you're less emotional therefore a more effective trader. I only look at the chart 15 minutes a day to either enter close or manage my trades. Whatever happens when I'm gone is what happens.
  3. There is no holy grail indicator Look for it all you want. It doesn't exist. There are good indicators. There are bad indicators. There are some indicators that are so broken if you do the opposite of what they're intended for you'll actually make a profit. But the fact remains that there's no perfect one. Stop looking. What you should be looking for is an indicator that fits with your strategy.
  4. What currencies to pick. I actually never see this brought up. The notion in forex is that all pairs can be traded equally. To a certain extent that's not false. But until you get the hang of it stick to a strict trading diet. Look for pairs that trend a lot. Duh look for the trend I can hear you say. When I say trend I don't mean a couple of days or weeks. I mean a couple of months. Half a year. Pairs that do that have a higher tendency to stick with one direction for a while. That's where you make your money. An easy way to identify those pairs as well is putting together a volatile currency (USD) with a less volatile one(JPY).
  5. USE YOUR SL Trust me even if not putting a SL has netted you all kinds of gains eventually the market will turn around and bite you. With no safety net you'll lose most if not all your profit. The best offense is a good defense.
  6. How to pick your TP and SL level. Most new traders care so much about that. I put it near the bottom because in my opinion you should know everything listed first. This is my opinion and I use it for my strategy I use the ATR(average true range) indicator. It's a really helpful tool that helps you identify the range at which the candles will either rise or fall. Obviously you want to set your TP inside of that range and your SL slightly outside of it.
  7. Lot sizes. Everyone has a different story about how they pick their lot size. The general consensus is don't risk over 2% of your account. But I'm a simple man and I can't be bothered to figure out what my risk is every single time. So what I do is I put $0.10 for every $100 I have on the account. I then assign $300(minimum) to each pair. That's $0.30 per pair. It's easy to remember. 10 cent for every $100. If you're able to blow $100 with $0.10 then you probably shouldn't trade.
  8. How to avoid reversals. Tbh you can't. There's no way to predict the future so eventually you'll get hit by one. What you can do however is minimize the blow. How I do it is for every pair I take two trades. If you remember in the previous tip is said I do about$0.30 per pair well I divide it 2:1. I take one trade with a TP(2) and one without (1). If my TP is hit I pocket that amount and if the trend keeps going in my direction I make even more. If the trend decides to end or reverses my losses are minimal because at least I kept half.
  9. There is NO right way to trade. Stop listening to people telling the best way to trade is fundamentals or naked charts of to use some specific indicator. There are no right way to do this. It's as flexible and unlimited as your imagination. I personally use indicators but if that's not your thing do YOU! Just remember to manage your trades properly and be level headed when trading. Hell if your trading strategy is flipping a coin with proper trade management you'd probably make some money (don't quote me on that).
  10. Trade money you're willing to lose Don't trade your rent money.
That's all I have for now. If anyone sees this and wants to add more feel free. Hope this helps someone.
submitted by MannyTrade to Forex [link] [comments]

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
1234
CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
1234567
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
1234
MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

12345678910111213
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on wallstreetbets. I hope everyone on this subreddit made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for next month:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
(CLICK HERE FOR THE CHART!)

Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
(CLICK HERE FOR THE CHART!)

Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
(CLICK HERE FOR THE CHART!)
On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
(CLICK HERE FOR THE CHART!)

US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
(CLICK HERE FOR THE CHART!)
Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
(CLICK HERE FOR THE CHART!)
Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
(CLICK HERE FOR THE CHART!)
Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
(CLICK HERE FOR THE CHART!)

Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
(CLICK HERE FOR THE CHART!)

2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 7.22.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 7.22.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 7.23.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 7.23.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 7.26.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic weekend and a great trading week ahead wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

[educational] Stretgies for day trading based on Technical Analysis

[educational] Stretgies for day trading based on Technical Analysis

1. Breakout

Breakout strategies center around when the price clears a specified level on your chart, with increased volume. The breakout trader enters into a long position after the asset or security breaks above resistance. Alternatively, you enter a short position once the stock breaks below support.
After an asset or security trades beyond the specified price barrier, volatility usually increases and prices will often trend in the direction of the breakout.
You need to find the right instrument to trade. When doing this bear in mind the asset’s support and resistance levels. The more frequently the price has hit these points, the more validated and important they become.

Entry Points

This part is nice and straightforward. Prices set to close and above resistance levels require a bearish position. Prices set to close and below a support level need a bullish position.

Plan your exits

Use the asset’s recent performance to establish a reasonable price target. Using chart patterns will make this process even more accurate. You can calculate the average recent price swings to create a target. If the average price swing has been 3 points over the last several price swings, this would be a sensible target. Once you’ve reached that goal you can exit the trade and enjoy the profit.
https://preview.redd.it/0oj4a1xlvdh31.png?width=773&format=png&auto=webp&s=8f2aa07b0c7caeeb00c4f997c12e814abbd380da

2. Scalping

One of the most popular strategies is scalping. It’s particularly popular in the forex market, and it looks to capitalise on minute price changes. The driving force is quantity. You will look to sell as soon as the trade becomes profitable. This is a fast-paced and exciting way to trade, but it can be risky. You need a high trading probability to even out the low risk vs reward ratio.
Be on the lookout for volatile instruments, attractive liquidity and be hot on timing. You can’t wait for the market, you need to close losing trades as soon as possible.
https://preview.redd.it/dzaf7t1nvdh31.png?width=653&format=png&auto=webp&s=f3d96d74311de806c3809698df2a964e3eb4db5e

3. Momentum

Popular amongst trading strategies for beginners, this strategy revolves around acting on news sources and identifying substantial trending moves with the support of high volume. There is always at least one stock that moves around 20-30% each day, so there’s ample opportunity. You simply hold onto your position until you see signs of reversal and then get out.
Alternatively, you can fade the price drop. This way round your price target is as soon as volume starts to diminish.
This strategy is simple and effective if used correctly. However, you must ensure you’re aware of upcoming news and earnings announcements. Just a few seconds on each trade will make all the difference to your end of day profits.
https://preview.redd.it/z4r2o6covdh31.png?width=600&format=png&auto=webp&s=b054c77c4bc5978821e879eff73d613d728cb0cf

4. Reversal

Although hotly debated and potentially dangerous when used by beginners, reverse trading is used all over the world. It’s also known as trend trading, pull back trending and a mean reversion strategy.
This strategy defies basic logic as you aim to trade against the trend. You need to be able to accurately identify possible pullbacks, plus predict their strength. To do this effectively you need in-depth market knowledge and experience.
The ‘daily pivot’ strategy is considered a unique case of reverse trading, as it centers on buying and selling the daily low and high pullbacks/reverse.
https://preview.redd.it/4ya3txcpvdh31.png?width=776&format=png&auto=webp&s=f40216413b1376b2d6d5a67e4d09057f55be6ba1

5. Using Pivot Points

A day trading pivot point strategy can be fantastic for identifying and acting on critical support and/or resistance levels. It is particularly useful in the forex market. In addition, it can be used by range-bound traders to identify points of entry, while trend and breakout traders can use pivot points to locate key levels that need to break for a move to count as a breakout.

Calculating Pivot Points

A pivot point is defined as a point of rotation. You use the prices of the previous day’s high and low, plus the closing price of a security to calculate the pivot point.
Note that if you calculate a pivot point using price information from a relatively short time frame, accuracy is often reduced.
So, how do you calculate a pivot point?
  • Central Pivot Point (P) = (High + Low + Close) / 3
You can then calculate support and resistance levels using the pivot point. To do that you will need to use the following formulas:
  • First Resistance (R1) = (2*P) – Low
  • First Support (S1) = (2*P) – High
The second level of support and resistance is then calculated as follows:
  • Second Resistance (R2) = P + (R1-S1)
  • Second Support (S2) = P – (R1- S1)

Application

When applied to the FX market, for example, you will find the trading range for the session often takes place between the pivot point and the first support and resistance levels. This is because a high number of traders play this range.
It’s also worth noting, this is one of the systems & methods that can be applied to indexes too. For example, it can help form an effective S&P day trading strategy

6. Moving Average Crossover

You will need three moving average lines:
  • One set at 20 periods – This is your fast moving average
  • One set at 60 periods – This is your slow moving average
  • One set at 100 periods – This is your trend indicator
This is one of the moving averages strategies that generates a buy signal when the fast moving average crosses up and over the slow moving average. A sell signal is generated simply when the fast moving average crosses below the slow moving average.
So, You’ll open a position when the moving average line crosses in one direction and you’ll close the position when it crosses back the opposite way.
How can you establish there’s definitely a trend? You know the trend is on if the price bar stays above or below the 100-period line.

the source : https://www.daytrading.com/strategies
submitted by JalelTounsi to ethfinance [link] [comments]

What is Forex?

Forex is the short way of saying “Foreign Exchange”. This means the global market for exchanging international currencies, also known as the FX market. When someone prices or exchanges a currency against another, the exchange rate is best on the particular forex trading pair (i.e., both currencies involved in the pair).
Currency pairs are typically priced out to four decimal places, depending on the currency denomination, where one ten-thousandth of a unit of currency is known as a pip (i.e., 0.0001 unit), which is the smallest price increment (in addition to fractional-pips).
The EUUSD, which is the most widely-traded forex pair, is an example of the Euro (EUR) currency against the US dollars (USD) currency.
When trading one unit of EUUSD, you can calculate the price in USD (i.e., a price of EUUSD 1.3000 indicates $1.30 per euro). Conversely, when exchanging the USD/EUR, each unit of USD (i.e. each dollar) will have the prace of a specific number of euros (i.e., a USD/EUR price of 0.7700 indicates €0.77 per dollar).
A speculator expecting the price of the EUUSD to go up. He will buy the EUUSD pair long (buying a pair to open a trade can be a bullish or long position). Whereas, a speculator anticipating a drop in the price of the EUUSD may sell the pair. (bearish or short position: selling to open a trade).

Largest international market Globally

The forex market is decentralized across the globe. It consists of dealers such as central banks, private and public banks, non-bank intermediaries, brokerages, and large corporations such as insurance giants and other participants engaged in international finance.
The Foreign Exchange market is the largest globally, with nearly $6 trillion in average daily volume traded as of April 2019, according to the latest BIS Triennial Survey of Central Banks.
The FX market suffers the influence mainly by each government’s monetary policy, the supply, and demand of the global economy. As well as international trade agreements, and users and suppliers of currencies (hedgers), in addition to speculators.

Market integrity and progress

While there have been cases of forex market manipulation by the biggest banks and dealers in the past, the amount of influence any one entity can have on the prices of major currencies is negligible. This resistance to serious manipulation risk is due to the enormous amount of trading and resulting liquidity available.
The FX Market itself has high price integrity. Because it is an electronic market, efficient and with a certain size. Participants must still adhere to best practices.
Efforts such as the Global FX code were launched to encourage forex dealers to uphold the best-execution where the best price available is given to traders.
These efforts are why the spreads and trading commissions continued to improve over the years, as the FX market evolved. In addition, regulators have competed to increase local market integrity and efficiency by creating more strict regulations. These come from the top-tier financial centers such as the US, UK, Singapore, Japan, Australia, among other advanced economies.

Investing and trading in the forex market

As an asset class, Forex is well-established and offered by many regulated brokerages from within a margin account.
The use of leverage is what makes forex trading more risky than non-margin investing.
Margin-based trading used by investors as well as self-directed traders and fund managers, thanks to the range of risk-management tools available within forex trading platforms (mobile, web, and desktop software). Wiseinvest provides trading signals with risk-management.

Forex market research and analysis

There are two primary ways for traders to assess and identify trading opportunities in the forex market.

Advanced forex trading strategies and algorithms

The foundation of successful trading in the forex market is having a trading strategy. It’s based on a specific methodology that best suits your trading needs. Strategies could be manual, automated, or a combination of both.
Over the past decade, there has been a proliferation of automated trading strategies made available for retail traders.
And while there are many serious traders with established track records for their trading systems, there are many more low-quality trading systems falsely marketed as high-quality by overly eager affiliates, making it harder for investors to navigate the market for trading signals.
There has also been an increase in the social copy trade. Where an operator can mimic other operators’ businesses in real time.
Whether using a copy-trading platform or an automated trading system, in almost all cases, this type of investing is considered self-directed and doesn’t require a power-of-attorney or another third-party money manager to handle your account.
Unlike other copy and social trading platforms, Wiseinvet’s AI has the ability to execute a huge set of market data. It does by combining technical and fundamental analysis. This strategy can increase the accuracy of trading signals.

Self-directed forex investors

Compared to investing in a managed fund, there is greater responsibility. Traders put it on self-directed traders who use trading systems. A self-directed trader should conduct more detailed due diligence. It can avoid falling for the countless low-quality trading systems that exist on the internet.

There are no guarantees that a strategy will perform well. But conducting proper due diligence can help traders assess various trading systems. They consider using them to aid their trading or investment strategy.
submitted by Wiseinvest-ai to u/Wiseinvest-ai [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on StockMarket. I hope everyone on this subreddit made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for next month:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
(CLICK HERE FOR THE CHART!)

Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
(CLICK HERE FOR THE CHART!)

Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
(CLICK HERE FOR THE CHART!)
On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
(CLICK HERE FOR THE CHART!)

US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
(CLICK HERE FOR THE CHART!)
Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
(CLICK HERE FOR THE CHART!)
Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
(CLICK HERE FOR THE CHART!)
Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
(CLICK HERE FOR THE CHART!)

Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
(CLICK HERE FOR THE CHART!)

2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 7.22.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 7.22.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 7.23.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 7.23.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 7.26.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic weekend and a great trading week ahead StockMarket!
submitted by bigbear0083 to StockMarket [link] [comments]

Trading Past the Average Daily Range Average Daily Range Trading Techniques - YouTube Free Average Daily Range (ADR) Indicator, Download it ... How to trade Forex Using Average Daily Range - YouTube Forex Trading with the Average Daily Range (Part 1) Average Daily Range – indicator for MetaTrader 4 - YouTube Trading with the Average Daily Range - YouTube

Forex Average Daily Range Strategy Example. Now let’s look at an example ADR trading strategy. In the image below you will see a chart with the daily ADR indicator. This is the H1 chart of the USD/CHF Forex pair for Dec 13 – 14, 2016. The image shows the ADR indicator values at the top left corner. The ADR is adjusted to take into consideration 15 days. The two blue horizontal lines are ... Average Daily Range – indicator for MetaTrader 4 is a Metatrader 4 (MT4) indicator and the essence of the forex indicator is to transform the accumulated history data. Average Daily Range – indicator for MetaTrader 4 provides for an opportunity to detect various peculiarities and patterns in price dynamics which are invisible to the naked eye. Forex-Average-Daily-Range-Trading-Indicator. Search for: October 13, 2020 Average Daily Range Indicator is one of those custom technical indicators created for the MetaTrader4, ... From the chart above, we have a daily EUR/USD Forex pair chart in the MT4 platform. The ADR indicator is attached to the chart, and two values can be sighted here. The first is displayed with the orange arrow, which is the 15-period ADR, while the second is displayed with the red arrow ... Average Daily Range indicator signals. ADR can be used for the fast, «by eye» assessment of the daily price movement. If ADR marks the indicators above the average, it means that the volatility is high and it is the Forex signal itself to look more closely at the dynamics of the currency pair. For example, if the ADR average price range of the pair is over 80 points, it may be worth counting ... The ADR indicator is a Meta trader indicator used to detect the average range of the market trends daily. ADR stands for average daily range indicator. It is a quite simple indicator as to its name shows. Mostly, this indicator is used to detect the price range of specific periods and candlestick patterns. The Daily Range Projections indicator calculates Average Daily Noise (ADN), Average Daily Range (ADR) and Average Daily Expansion (ADE) bands. Accordingly, the Daily Range Projections is also sometimes referred to as an ADR indicator. For a quick intro video to the concept, check out our Indicator Spotlight here. You will find the “daily noise” levels by determining the smaller of (High ...

[index] [27023] [8211] [14641] [1915] [12526] [12742] [27491] [10394] [14013] [10172]

Trading Past the Average Daily Range

Check Out More FREE Forex Training Videos Here: http://www.compassfx.com/video Forex Trading with the Average Daily Range (Part 1) Trading EURAUD Based on The ADR & Daily Lows and Highs [Before] Be sure to Like, Subscribe, and hit that Notification Bell now! ===== JOIN ... Trading with the Average Daily Range - Duration: 9:14. Compass Trade Group 13,871 views Check Out More FREE Forex Training Videos Here: http://www.compassfx.com/video Download Average Daily Range – indicator for MetaTrader 4 - https://forexmt4indicators.com/average-daily-range-indicator-for-metatrader-4/ -----... Free Average Daily Range (ADR) Indicator, Download it today! For download the indicator visit: link to my other videos: High/Low Indicator: https://www.youtu... We interpret and explain price moves in real-time, 24 hours a day. Our team of analysts produce text, video and audio commentary. You understand the markets ...

http://binary-optiontrade.ospoidjerwhymut.gq