Best Moving Average Strategies for Forex Day Trading ...

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.
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Profitable Forex Strategy Reddit | 3 Easy Forex Strategies Easy For MT4

Profitable Forex Strategy Reddit | 3 Easy Forex Strategies Easy For MT4

The need for a trading strategy in Forex market

https://preview.redd.it/r6u8stdmeaw51.jpg?width=1320&format=pjpg&auto=webp&s=1b0292502d6e68f5c220af5a5851aeb8061b395b
Almost all trading manuals talk about the need to have your own trading strategy. First of all, the process of creating your trading scheme allows you to perfectly understand trading and exclude from it any eventuality that hides additional risk.
Profitable forex strategy: it is a type of instruction for the trader, which helps to follow a clearly verified algorithm and safeguard his deposit from emotional errors and consequences of the unpredictability of the Forex currency market.
Thanks to her, you will always know the answer to the question: how to act in certain market conditions. You have the conditions of opening a transaction, the conditions of its closing, likewise, you do not guess if it is time or not. You do what the trading strategy tells you. This does not mean that it cannot be changed. A healthy trading scheme in the forex market must be constantly adjusted, it must comply with the realities of current market trends, but there must be no unfounded arguments in it.
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

Profitable Forex Strategy Reddit

Types of trading strategies
The forms of a trading strategy can combine a variety of methods. However, several of the most commonly used options can be highlighted.
  • Trading strategy based on various complementary technical indicators
  • Trading strategy using Bollinger Bands
  • Moving Average Strategy
  • Technical figures and patterns
  • Trading with Fibonacci levels
  • Candlestick trading strategy
  • Trend trading strategy
  • Flat trading strategy
  • Scalping
  • Fundamental analysis as the basis of the strategy

Three most profitable Forex strategies

Important! These strategies are the basis for building your own trading system. Indicator settings and recommended pending order levels are for consultation only. If you do not get a satisfactory outcome in the test result or in a live account, that does not mean that the problem is the strategy. It is enough to choose individual parameters of indicators under a separate asset and under the current market situation.

1. “Bali” scalping strategy

This strategy is one of the most popular, at least its description can be found on many websites. However, the recommendations will be different. According to the author's idea, "Bali" refers to scalping tactics, as it facilitates a fairly short stop loss (SL) and take profit (TP). However, the recommended time frame is high, because the signals appear not very often. The authors recommend using the H1 interval and the EUR / USD currency pair.
Indicators used:
  • Linear Weighted Moving Average. Period 48 (red line).
https://preview.redd.it/9mhs67mxeaw51.jpg?width=461&format=pjpg&auto=webp&s=913d428edd4cab0a3237e7039829a76dd587f1f5
The weighted linear moving average here acts as an additional filter. Due to the fact that LWMA gives more weight to the values ​​of the last periods, the indicator in the long periods practically excludes delays. In some cases, LWMA can give a signal beforehand, but in this strategy only the moving position relative to price is important. Bearish LWMA is a buy signal, sell bullish.
  • Trend Envelopes_v2. Period 2 (orange and blue lines).
https://preview.redd.it/8bap0s41faw51.jpg?width=627&format=pjpg&auto=webp&s=a6236ad06765280bbfd655fa1fb4153b28aaaf56
The indicator is also based on the moving average, but the formula is slightly different for the calculation. Its marking is more precise (the impact of price noise has been eliminated). It allows you to identify the twists of the trend compared to the usual mobile with a slight anticipation. Trend Envelopes has an interesting property: the color of the line and its new location changes when the price penetrates its old trend line, a kind of signal.
  • DSS of momentum. The configuration in the screenshot below.
https://preview.redd.it/9ch27cj4faw51.jpg?width=630&format=pjpg&auto=webp&s=00558bbd90378009bef33b7c96c77f884b912667
The indicator is placed in a separate window below the chart. This is an oscillator whose task is to determine the pivot points of the trend. And it does so much faster than standard oscillators. It has two lines: the signal is dotted, the additional line is solid, but the receiver has 2 kinds of colors (orange and green).
  • Important! Note that the indicators for the “Bali” strategy are chosen in such a way as to ultimately give an early signal. This gives the trader time to confirm the signal and check the fundamentals.
MA is one of the basics on MT4, the other two indicators can be found in the archive for free here. To add them to the platform, click on MT4: "File / Open data directory". In the folder that opens, follow the following path: MQL4 / Indicators. Copy the flags to the folder and restart the platform.
Also Read: Make Money With Trading
Conditions to open a long position:
  • Price penetrates the orange Trend Envelopes line from the bottom up. At the same time in the same candle there is a change of the orange line that falls to a growing celestial.
  • The candle is above LWMA. Once the above condition has been met, we wait for the candle to appear above the moving one. It is important that it closes above the LWMA red line. It is mandatory to have a Skyline Trend Envelopes on a signal candle.
  • The additional DSS of momentum line on the signal candle is green and is above the dotted line of the signal (that is, it crosses or crosses it).
We open a trade at the close of the signal candle. The recommended stop level is 20-25 points in 4-digit quotes, take profit at 40-50 points.
https://preview.redd.it/t48d55s8faw51.jpg?width=1000&format=pjpg&auto=webp&s=1e93863745e74dec536178539817225767cbeb1c
The arrow indicates a signal candle where a Trend Envelopes color change occurred. Note (purple ovals) that the blue line is below the orange line and goes upwards (in other cases the signal should be ignored). In the signal candle, the green DSS of momentum line is above the dotted line.
Conditions to open a short position:
  • Price penetrates the Trend Envelopes sky line from top to bottom. At the same time in the same candle there is a change from the increasing celestial line to the falling orange.
  • The candle is below LWMA. Once the above condition has been met, we wait for the candle to appear below the mobile. It is important that it closes below the LWMA red line. It is mandatory to have an orange Trend Envelopes line on a signal candle.
  • The additional DSS of momentum line on the signal candle is orange and is below the dotted line of the signal (i.e. crosses or crosses it).
https://preview.redd.it/6uixkl1dfaw51.jpg?width=1000&format=pjpg&auto=webp&s=dd53442c633e80c1e55da72cd5ffe9cda2e85b8a
Some examples where a transaction cannot be opened:
  1. In the screenshot below the signal candle closed at the moving level (red line), it was practically below it.
https://preview.redd.it/2o1wpocgfaw51.jpg?width=1000&format=pjpg&auto=webp&s=58d3286bf2884b5f0dfdaa0a62b68d2d50cdabf8
  1. In the screenshot below the signal candle is DSS below its signal line. Also, the celestial line is horizontal and not ascending.
https://preview.redd.it/1nfi1etjfaw51.jpg?width=801&format=pjpg&auto=webp&s=ff9fcbc10a485c5102ef7a135de47332827caf54
The signals are relatively rare, a signal can be expected for several days. In half the cases, it is better to control the transaction and close in advance, without waiting for profit taking. We do not operate at the time of flat. Try this strategy directly in the browser and see the result.
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

2. “Va-Bank” candle strategy

This profitable Forex strategy is weekly and can be used on different currency pairs. It is based on the spring principle of price movement, what went up quickly, sooner or later must fall. To trade you will only need a schedule on any platform and W1 time frame (although the daily interval can be used).
You should estimate the size of the candle bodies of different currency pairs ( AUDCAD , AUDJPY , AUDUSD , EURGBP , EURJPY , GBPUSD , CHFJPY , NZDCHF , EURAUD , AUDCHF , CADCHF , EURUSD , EURCAD , GBPCHF ) and choose the largest distance from the opening to the close of the candle in the framework of the week. In this to open a transaction at the beginning of the following week.
Conditions to open a long position:
  • The bearish candle, which signifies last week's movement, has a relatively large body.
Open a long position early next week. Make sure to place a stop loss at 100-140 points and a take profit at 50-70 points. When it is midweek, close the order if it has not yet been closed at take profit or stop loss. After that, wait again for the beginning of the week and repeat the procedure, in any case do not open operations at the end of the current week.
https://preview.redd.it/vuihnqspfaw51.jpg?width=1000&format=pjpg&auto=webp&s=7641e9d7701911cc255c4f0c8a53e1660c35c9fe
On this chart it is clearly seen that after each large bearish candle there is necessarily a bullish candle (although smaller). The only question is what period to take where it makes sense to compare the relative length of the candles. Here everything is individual for each currency pair. Note that a rising candle was observed followed by a few small bearish candles. But when it comes to minimizing risks, it is best not to open a long response position, as the relatively small decline from the previous week may continue.
Conditions to open a short position:
  • The bullish candle, which signifies last week's movement, has a relatively large body.
We open a short position early next week.
https://preview.redd.it/tv4zmf5ufaw51.jpg?width=1000&format=pjpg&auto=webp&s=61cd1dcfc4aebfa6f80343b6c51f7a6e46358602
The red arrows point to the candles that had a large body around the previous bullish candles. Almost all signals turned out to be profitable, except for the transactions indicated by a blue arrow. The shortcomings of the strategy are rare signs, albeit with a high probability of profit. The best thing is that it can be used in several pairs at the same time.
This strategy has an interesting modification based on similar logic. Investors with little capital opt for intraday strategies, as their money is insufficient to exert radical pressure on the market. Therefore, if there is a strong move on the weekly chart, this may indicate a cluster of large strong traders. In other words, if there are three weekly candles in one direction, it is most likely the fourth. Here you also have to take into account the psychological factor, 4 candles is equal to one month, and those who "push" the market in one direction, within a month will begin to set profits.
Strategy principle:
  • A "three candles" pattern (ascending and descending) formed on the weekly chart.
  • It is preferable that each subsequent candle was larger than the previous one. Doji is not taken into account (disembodied candles).
  • Stop is placed at the closing level of the first candle of the constructed formation. Take profit at 50-100% of the last candle, but it is often better to manually close the trade.
An example of this type of formation in the screenshot below.
https://preview.redd.it/iu7cwa7xfaw51.jpg?width=1000&format=pjpg&auto=webp&s=9195d24b72d2bda5394614380e9e5bc167f108a5
Of the 5 patterns, 4 were effective. Lack of strategy, the pattern can be expected 2-3 months. But when launching a multi-currency strategy this expectation is justified. Consider swaps!
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

3. Parabolic Profit Based on Moving Average

This strategy is universal and is usually given as an example for novice traders. It uses classic EMA (Exponential Moving Average) indicators for MT4 and Parabolic SAR, which acts as a confirmatory indicator.
The strategy is trend. Most sources suggest using it in "minutes", but price noise reduces its efficiency. It is better to use M15-M30 intervals. Currency pairs - Any, but you may need to adjust the indicator settings.
Indicators used:
  • EMA with periods 5, 25 and 50. EMA (5) in red, EMA (25) and EMA (50) in yellow. Apply to Close (closing price).
https://preview.redd.it/ly7ju8o3gaw51.jpg?width=1000&format=pjpg&auto=webp&s=61dee5b0d994d09a375e01e2b9afe188dd2ee0ed
  • Parabolic SAR, parameters remain unchanged (color correct at your discretion).
https://preview.redd.it/sonpv1m8gaw51.jpg?width=1000&format=pjpg&auto=webp&s=823e9ce5d279d3a98ef072694766a112a3ece775
Conditions to open a long position:
  • Red EMA (5) crosses the yellows from bottom to top.
  • Parabolic SAR is located under the sails.
Conditions to open a short position:
  • Red EMA (5) crosses the yellows from top to bottom.
  • Parabolic SAR is located above the candles.
The transaction can be opened on the same candle where the mobile crossover occurred. Stop loss at the local minimum, take profit at 20-25 points. But with the manual management of transactions you can extract great benefits. For example, close at the time of the transition from EMA (5) to a horizontal position (change of the angle of inclination of the growth to flat).
https://preview.redd.it/4un92jlegaw51.jpg?width=1000&format=pjpg&auto=webp&s=406a700c00722349622d031e20d0858e4196d18b
This screen shows that all three signals (two long and one short) were effective. It would be possible to enter the market on the candle by following the signal (in order to accurately verify the direction of the trend), but you would then miss the right time to enter. It is up to you to decide whether it is worth the risk. For one-hour intervals, these parameters hardly work, so be sure to check the performance of the indicators for each period of time in a minimum span of three years.
And now that you know the theory, a few words about how to put these strategies into practice.
Ready? Then let's get started!

From the theory to the practice

Step 1. Open demo account It's free, requires no deposit, takes up to 15 minutes, and no verification required. On the main page of your broker there is for sures a button "Register", click and follow the instructions. An account can also be opened from other menus (for example, from the top menu, from the commercial conditions of the account, etc.).
Step 2. Familiarize yourself with the functionality of the Personal Area. It won't take long. It is at the most user friendly and intuitive. You just need to understand the instruments of the platform and understand how the trades are opened.
Step 3. Launch the trading platform. The Personal Area has the platform incorporated, but it is impossible to add templates. Hence, the "Bali" and "Parabolic Profit" strategies can only be executed on MT4.

Characteristics of an effective Forex strategy Reddit

And finally, let's see what makes a profitable Forex strategy effective. What properties should it have? Perhaps three of the most important characteristics can be pointed out.
  • The minimum number of lag indicators. The smaller they are, the greater the forecast accuracy.
  • Easy. Understanding your strategy is more important than your saturation with complex elements, formulas, and schematics.
  • Uniqueness. Any trading strategy must be "tailored" to your trading style, your character, your circumstances, and so on.
It is very important to develop your own trading strategy, but it is necessary to test a large number of already available and proven strategies. On the Forex blog you will find trading strategies available for download. Before using a live account, test your chosen strategy on the demo account on the MetaTrader trading platform.
Conclusion. To successfully trade the Forex currency market, create your own trading strategy. Learn what's new, learn out-of-the-box trading schemes, and improve your individual action plan in the market. Only in this case, the trading results will satisfy you to the fullest. Success, dear readers!
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Join the community for more articles on trading and making money on the Forex and Stock market.
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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

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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.

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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]

How to be profitable in Forex: High-probability trading.

Hello guys,
I see a lot of posts here either of new traders or non-profitable traders. Some people here even believe trading is gambling and it is impossible to be constantly profitable. I have been trading forex for a few years now and I have fallen into every trap you could imagine: Overtrading, too many indicators, no backtesting, anger trades, etc.. burned a few accounts and finally managed to be constantly profitable on a large period of time. That is why I decided to make a very quick guide on how I think everyone can achieve profitability.
High-probability trading is a very simple concept: Only take trades when stars align. I'd recommend focusing on a very few setups that have proven to be profitable, and to not trade if the setup isn't perfect. If you think there is a slight chance you could lose a trade, then do not take it. The most important rule is to have 100% confidence in your trades, so you are not disappointed when you lose one because you know you followed your guidances.
I am a full-time trader. I mostly look at the 5-minutes, 15-minutes, and 1-hour charts, and I watch all major currency pairs 10 hours a day. You'd assume I take a lot of trades because so many setups form each day, well I do not. I take 2 to 3 trades a week for a duration of 1 to 4 hours per trade. But because these trades are more likely to be profitable, I have a good monthly return.
Now we all have our own strategy and I'm not here to review yours. Just think of how you could make your strategy a high-probability one. If you take a trade at each trading session and you have less than 65% of winning rate, then you can certainly improve your guidances. Here are the two most important rules you must follow:
- Always trade with the trend on all your timeframes, and at least a higher one. If I take a trade on the 5-minutes, 15-minutes and 1-hour charts, I want to make sure I'm with the 5-minutes, 15-minutes, 1-hour and 4-hour trends. A 200-periods exponential moving average on each timeframe should do the trick to ensure that.
- Confluence. This is for me the most profitable rule of trading. Confluence is when you have two or more levels coming together and therefore making a confluence point. For example, if you are trading the retest of a bullish trendline on the 1-hour chart, a confluence point could be where the price: retests the 1-hour bull trendline, breaks the 15-minutes bear trendline, retests the 1-hour 50-period EMA, breaks the 15-minutes 50-period EMA with a bullish marubozu candlestick, with an RSI bullish divergence at an oversold level, and a retest of a support. Now this would be a crazy setup, but even when a few stars align in a confluence point the trade is high-probability.
Thank you for reading.
submitted by Oxygen0796 to Forex [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]

I like my numbers how I like my men

Hard.
Following up on my post about trading economic news, here are some hard numbers about news releases. If you can't be bothered to read any further, just know that a high S value means there is money to be made by trading the release of that economic metric.
I collected historical data (consensus and actual) for each of these economic metrics from January 2018 to the present. These are mostly monthly metrics; one is quarterly, one is biweekly, and one is weekly. I did this manually from an economic news aggregation website because I'm too cheap to pay for exported data. I also noted whether each release was the primary (or only) news being released at that precise moment or whether there were other important economic metrics being released at the same time.
Then I wrote software to fetch 2 minutes of USD/JPY price data (in 5 second candles) starting at the time of each release and correlated each candle to the "surprise" in the metric (the difference between the consensus and the actual). That produced data for each metric that looks like this and give you an idea how reliably the news predicts the short-term price move.
Next the software went back through the price history and measured the "coordinated movement" of the currency pair during each candle. By that I mean it measured the size of each candle in pips and then set the sign to be positive if its moving in the same direction as the first candle or negative otherwise, and averaged all those numbers together. These charts look like this and give you an idea how dramatically the price moves in response to the news.
Then, for each candle, the absolute value of the correlation is multiplied against the coordinated movement, creating a "tradeability" score. The idea is that a strong (positive or negative) correlation and a strong coordinated movement yields a high score, and either a weak correlation or a small price movement yields a low score. These charts look like this.
Finally, for each news release I measured the maximum value of the correlation (R) and the maximum value of the tradeability score (S). Since I don't have access to anything with finer granularity than 5 seconds, it's no surprise that candle 0 had the maximum correlation and maximum tradeability for each metric.
I did this process twice for every metric: first over all releases and second over only those releases that were the primary or only release happening at that moment. I kept the results from the one that returned the better net maximum tradeability score. The net maximum tradeability score is just the product of the maximum tradeability score and the number of releases being considered, either all of them or some smaller number. (This helps avoid bias in the results for metrics that are often released at the same time as other metrics.)
In the results linked at the top of this post, the metrics are ordered by decreasing maximum tradeability score (S) with maximum correlation (R) also shown. Remember, R = +1 means perfect positive linear correlation, R = -1 means perfect negative linear correlation, and R = 0 means no correlation. S values less than 3 are essentially untradeable due to the spread.
A couple notes:
It takes me about 15 minutes to scrape 2 years of monthly data by hand and type it up, and then the software takes about 10 seconds to run per metric. If there are regular forecasted economic releases that you'd like to see correlated and scored, let me know! I can do other currency pairs and other country's economic news as well, it's just a matter of data collection.
submitted by thicc_dads_club to Forex [link] [comments]

Wall Street Week Ahead for the trading week beginning May 27th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market this past week, and are ready for the new holiday-shortened trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning May 27th, 2019.

Trade and the economy have become the new roller coaster for markets - (Source)

Trade headlines could be a big factor for markets in the week ahead, but investors will also be attuned to fresh inflation data and moves in the bond market, which is flashing new worries about the economy.
Stocks were on a roller coaster ride in the past week, as markets reacted to worsening trade tensions and concerns that negotiations could be prolonged, causing pain for the global economy. But the bond market’s move was perhaps even more dramatic, as yields, which move opposite of price, fell to levels last seen in 2017, and the futures market began to price in three Fed interest rate cuts by the end of next year.
“There’s not a lot of economic data next week, so events hang over us,” said Marc Chandler, chief global strategist at Bannockburn Global Forex. “It’s more about the evolution of old issues than new issues, like trade and Brexit.”
Brexit will continue to be a focus in global markets. U.K. Prime Minister Theresa May stepped aside Friday after failing to get agreement on a plan for the U.K. to leave the European Union. Chandler said investors will be watching the jockeying among candidates hoping to succeed Prime Minister May, with hard line Brexit proponent Boris Johnson expected to seek the job, among others.
As for trade, Chandler said it’s possible that President Donald Trump’s comments that Huawei could be part of a trade deal may be the start of a new approach by the administration to tone down its rhetoric. The telecom giant has been blacklisted by the U.S. and is expected to be denied access to U.S. components for its equipment.
“In some ways, it’s a headline problem. We think of it more as event risk,” said Nadine Terman, CEO and CIO at Solstein Capital. “China thinks in dynasties and U.S. investors seem to think in durations of days and months, so I think we are misunderstanding the duration of their negotiating strategy.”
She said the issues between the two countries go way beyond trade and extend to China’s military aspirations in the South China Sea and its global campaign of influence through the Belt and Road initiative, Chinese President Xi Jinping’s signature program.
“It’s now become more nationalistic, emotional, to say: ‘We’re going against the U.S. and we’ve got to be in it for the long haul.’ I don’t think you have the same emotion here in the U.S. You don’t have the same nationalistic pride to say ‘we have to fight China at all cost,’” she said.
In the past week, Wall Street increasingly began to expect the Trump administration to turn up the pressure on China with another wave of 25% tariffs on the $300 billion or so in goods remaining that have no tariffs. Those tariffs would directly hit American consumer goods and are expected to take a bigger bite out of the economy.
Fears of a trade war hurting global growth and concerns that the U.S. is already beginning to weaken were evident in the bond market. Treasury yields reflected lowered growth expectations. The 10-year hit a low of 2.29% on Thursday and was at 2.32% Friday.
J.P. Morgan economists Friday downgraded their view of the economy, slicing second quarter growth to just 1% from an earlier forecast of 2.25% and first quarter growth of 3.2%. The economists blamed weak U.S. manufacturing data and said risks were signs of weakness in the global economy and also indications that the trade war was hurting business sentiment.
“The concerns the markets have right now are that we’re moving towards a worst case scenario, and that could persist for quite some time,” said Mark Cabana, head of U.S. short rate strategy at Bank of America Merrill Lynch. “If that’s the case, then the market is believing economic data, and the Fed will likely need to respond to that by trying to offset and prevent a recession.”
The most important data point in the coming week will be Friday’s personal consumption expenditures, which includes the PCE deflator inflation data that the Fed monitors. It was at 1.6% year-over-year last month, and is expected to be the same for April, well below the Fed’s target of 2% inflation.
Inflation has become a key focus on Wall Street, particularly after Fed Chair Jerome Powell said low inflation appears to be transitory and not enough of a concern to make the Fed cut interest rates. Powell and other Fed officials have stressed the Fed is pausing in its rate hiking cycle, is monitoring the economy and does not yet know which way it will move next.
Solstein Capital’s Terman said she is watching the PCE inflation report to see if it confirms her view that inflation and the economy will be weaker this summer.
She also expects the markets to be choppy, and by late summer, around its annual Jackson Hole symposium, the Fed could indicate it could cut interest rates.
“People are going to start getting even more concerned this summer about the U.S.,” Terman said.
Terman said she has been positioned for lower inflation and slower GDP growth with key holdings in utilities, REITs, Treasurys and gold.
“What would do well this summer? Staples, utilities, health care, REITs. You want fixed income. You want to be underweight tech, energy, financials and industrials,” she said.
There is also home prices data Tuesday and advanced economic indicators Thursday. That comes in addition to a few earnings reports, including Costco, Ulta Beauty and Dollar General.
Markets will also be watching the outcome of European parliamentary elections, and if there is a strong showing by populists, there could be a negative impact on the euro and risk assets.

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 this week:

(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!)

S&P 500 Down Four Straight Day After Memorial Day

Our office will be closed for observance of Memorial Day on Monday, May 27. U.S stock and bond markets will also be closed. As you spend some quality time off with family and friends please take time to commemorate those who have paid the ultimate price while serving in the U.S. military.
For decades the Stock Trader’s Almanac has been tracking and monitoring the market’s performance around holidays. The trading day after Memorial Day has a mixed record going back to 1971. Both S&P 500 and NASDAQ have declined more often than risen on the day, but average performance is still positive. Since 1986, the frequency of gains has improved, and average performance has also risen however, over the last four years S&P 500 has declined. The second trading day after Memorial Day has since more advances than declines, but average performance is negative for NASDAQ. The third day after appears to have the best long- and short-term record combined with solid average performance.
(CLICK HERE FOR THE CHART!)

The Bespoke Report - It's All Relative

Hut, Hut, Cut! With weaker economic data to contend with this week on both a domestic and international basis, plus escalating tensions between the US and China, investors are increasingly pricing in a higher likelihood of rate cuts from the FOMC before the year is out. Through mid-day Friday, the Fed Fund futures market was pricing in over an 85% chance of a rate cut between now and the January 2020 meeting. Those are the kind of odds that would make James Holzhauer say "All in."
(CLICK HERE FOR THE CHART!)

Fed Members Side With “Transitory” Inflation

Investors just got more details on Federal Reserve (Fed) policymakers’ views of inflation.
Minutes of the Fed’s most recent meeting, which ended May 1, showed that “many participants” considered slowing consumer inflation as “transitory,” and agreed that the Fed’s current patient approach should help stoke economic growth and inflation. Policymakers’ optimistic view on inflation runs counter to a growing opinion in financial markets that slowing growth in core personal consumption expenditures (PCE) could warrant lower rates.
Markets think the grace period for a “transitory” excuse has passed, but data show it’s too soon to tell. Another measure of inflation, the Fed Bank of Dallas’s “trimmed mean” PCE measure, points to higher pricing pressures ahead. As shown in the LPL Chart of the Day, the trimmed mean PCE, which has proven to be a less volatile version of core PCE, has hit 2% year-over-year growth for the past several months.
(CLICK HERE FOR THE CHART!)
“It’s tough to make a case for lower rates with over 3% gross domestic product growth, healthy wage growth, and a labor market close to full employment,” said LPL Research Chief Investment Strategist John Lynch. “If consumer inflation picks up, the U.S. economy will be near full employment with healthy inflation across the board, fulfilling the Fed’s dual mandate.”
Of course, much has happened on the global front since the Fed’s last meeting. Trade tensions have flared up again, with the United States raising tariff rates on $200 billion of Chinese imports and threatening to increase rates on the remaining swath of goods. Logically, tariffs should be a catalyst for higher consumer inflation, as higher costs should boost price growth. However, the opposite has happened over the past few months, and there are several factors to consider when thinking about future inflation.
Overall, we don’t see a strong argument for a rate cut right now, and we side with the Fed in thinking consumer inflation could pick up as wage growth accelerates and growth stabilizes. At the very least, it’s becoming more obvious the Fed doesn’t have enough clarity to move policy in either direction.

Another Reason For Bulls To Smile

The S&P 500 Index has officially gained each of the first four months of the year for the first time since 2013. This comes on the heels of the best first quarter since 1998. Six straight months in green has been the best monthly win streak to start a year, and that last happened in 1996.
Starting a year with strength like this historically has been a good sign, even though stocks in May saw a nearly 5% correction.
“Although we wouldn’t be surprised to see continued volatility over the coming months, the good news is a great start to a year has had a funny way of eventually resolving higher,” explained LPL Senior Market Strategist Ryan Detrick. “In fact, the rest of the year has been higher an incredible 14 out of 15 times after the first four months were in the green!”
As our LPL Chart of the Day shows, the S&P 500 returns the rest of the year (final 8 months) have been more than twice as strong as the average year returns—10% versus 4.7%—following four straight monthly gains to kick off a new year. There’s always a catch though, and in this case we’ve seen an average pullback of more than 8% the rest of the year.
(CLICK HERE FOR THE CHART!)

Earnings Season Takeaways

We consider earnings season a success based on the amount of upside to prior estimates generated by S&P 500 Index companies despite several headwinds. Companies handily beat expectations to get first quarter earnings up to flat, as shown in the LPL Chart of the Day.
(CLICK HERE FOR THE CHART!)
When earnings season began in mid-April, consensus estimates called for a 4–5% drop in S&P 500 earnings, according to FactSet data. Beating results by this much is impressive considering persistent trade uncertainty and the drag on overseas profits from a strong U.S. dollar. Also consider that the median stock in the S&P 500 has grown earnings several percentage points faster because a few large companies are dragging down the market-cap-weighted calculation.
Resilient estimates are also encouraging. Since April 15, the 2019 consensus estimate for S&P 500 earnings per share has risen slightly to $168 (a 4% year-over-year increase). We consider that a win given that estimates typically fall during earnings season.
“Escalating trade uncertainty and the threat of more tariffs are huge wild cards for corporate profits,” said LPL Chief Investment Strategist John Lynch. “We are hopeful that significant progress can be made on the trade front next month, when President Trump and China’s President Xi are expected to meet at the G20 summit. A prolonged impasse that lasts through the summer would make mid-single-digit earnings growth difficult to achieve in 2019.”
Our base case remains that we will get a trade deal with China early this summer and consensus expectations for 3–4% earnings growth may prove to be conservative. Earnings are hardly booming, but with a continued economic expansion, low inflation, and low interest rates, we see enough earnings growth ahead to push stocks up to our year-end S&P 500 fair value target of 3,000—though it probably won’t get there in a straight line.

Pre-election Year June: Tech and Small-caps Best

June has shone brighter on NASDAQ stocks over the last 48 years as a rule ranking eighth with a 0.6% average gain, up 26 of 48 years. This contributes to NASDAQ’s “Best Eight Months” which ends in June. June ranks near the bottom on the Dow Jones Industrials just above September since 1950 with an average loss of 0.3%. S&P 500 performs similarly poorly, ranking tenth, but essentially flat (–0.02% average). Small caps also tend to fare well in June. Russell 2000 has averaged 0.6% in the month since 1979.
In pre-election years since 1950, June ranks no better than mid-pack. June is the #8 DJIA month in pre-election years averaging a 0.8% gain with a record of nine advances in seventeen years. For S&P 500, June is #5 with an average gain of 1.2% (10-7 record). Pre-election year June ranks #6 for NASDAQ and #7 for Russell 2000 with average gains of 1.9% and 1.1% respectively. Recent pre-election year Junes in 2015, 2011 and 2007 were troublesome for the market as DJIA, S&P 500 and NASDAQ all declined (Russell 2000 eked out a modest gain in 2015).
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for May 24th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 05.26.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NIO
  • $MOMO
  • $GOOS
  • $COST
  • $PANW
  • $ZS
  • $OKTA
  • $WDAY
  • $NTNX
  • $ULTA
  • $DKS
  • $VEEV
  • $ANF
  • $BZUN
  • $DG
  • $DLTR
  • $BNS
  • $YY
  • $MRVL
  • $ASND
  • $CSIQ
  • $CPRI
  • $BAH
  • $BURL
  • $VMW
  • $AMWD
  • $KEYS
  • $ZUO
  • $BMO
  • $PLAN
  • $JT
  • $HEI
  • $GPS
  • $NXGN
  • $PVH
  • $QTNT
  • $NM
  • $EXPR
  • $SAFM
  • $BITA
  • $CMCO
(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 5.27.19 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Monday 5.27.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Tuesday 5.28.19 Before Market Open:

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

Tuesday 5.28.19 After Market Close:

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

Wednesday 5.29.19 Before Market Open:

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

Wednesday 5.29.19 After Market Close:

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

Thursday 5.30.19 Before Market Open:

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

Thursday 5.30.19 After Market Close:

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

Friday 5.31.19 Before Market Open:

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

Friday 5.31.19 After Market Close:

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

NIO Inc. $3.86

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat The company's guidance was for revenue of $202.00 million to $220.00 million. Short interest has increased by 127.4% since the company's last earnings release while the stock has drifted lower by 53.3% from its open following the earnings release. On Friday, May 17, 2019 there was some notable buying of 20,289 contracts of the $4.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 16.5% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Momo Inc. $26.02

Momo Inc. (MOMO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.54 per share on revenue of $533.07 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat The company's guidance was for revenue of $529.00 million to $544.00 million. Consensus estimates are for earnings to decline year-over-year by 21.74% with revenue increasing by 22.51%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 27.9% from its open following the earnings release to be 25.6% below its 200 day moving average of $34.98. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, May 10, 2019 there was some notable buying of 2,208 contracts of the $30.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 13.3% move on earnings and the stock has averaged a 13.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Canada Goose Holdings Inc. $47.89

Canada Goose Holdings Inc. (GOOS) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $0.02 per share on revenue of $118.39 million and the Earnings Whisper ® number is $0.06 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.43% with revenue increasing by 19.86%. Short interest has increased by 24.8% since the company's last earnings release while the stock has drifted lower by 19.9% from its open following the earnings release to be 18.7% below its 200 day moving average of $58.93. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 15.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Costco Wholesale Corp. $247.30

Costco Wholesale Corp. (COST) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $1.83 per share on revenue of $34.80 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.65% with revenue increasing by 7.54%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 9.7% from its open following the earnings release to be 9.2% above its 200 day moving average of $226.54. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, May 14, 2019 there was some notable buying of 3,428 contracts of the $250.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Palo Alto Networks, Inc. $216.26

Palo Alto Networks, Inc. (PANW) is confirmed to report earnings at approximately 4:15 PM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $1.25 per share on revenue of $703.44 million and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of $1.23 to $1.25 per share on revenue of $697.00 million to $707.00 million. Consensus estimates are for year-over-year earnings growth of 20.19% with revenue increasing by 24.04%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 16.2% from its open following the earnings release to be 1.2% above its 200 day moving average of $213.65. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, May 16, 2019 there was some notable buying of 1,160 contracts of the $237.50 call expiring on Friday, June 7, 2019. Option traders are pricing in a 8.4% move on earnings.

(CLICK HERE FOR THE CHART!)

Zscaler, Inc. $73.76

Zscaler, Inc. (ZS) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $0.01 per share on revenue of $74.54 million and the Earnings Whisper ® number is $0.03 per share. Investor sentiment going into the company's earnings release has 77% expecting an earnings beat The company's guidance was for earnings of approximately $0.01 per share on revenue of $74.00 million to $75.00 million. Consensus estimates are for year-over-year earnings growth of 116.67% with revenue increasing by 51.62%. Short interest has decreased by 8.0% since the company's last earnings release while the stock has drifted higher by 28.3% from its open following the earnings release to be 50.6% above its 200 day moving average of $48.98. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, May 20, 2019 there was some notable buying of 1,380 contracts of the $72.50 put expiring on Friday, June 7, 2019. Option traders are pricing in a 13.6% move on earnings and the stock has averaged a 16.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Okta, Inc. $109.63

Okta, Inc. (OKTA) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.21 per share on revenue of $116.66 million and the Earnings Whisper ® number is ($0.17) per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat The company's guidance was for a loss of $0.22 to $0.21 per share on revenue of $116.00 million to $117.00 million. Consensus estimates are for earnings to decline year-over-year by 133.33% with revenue increasing by 39.51%. Short interest has increased by 33.4% since the company's last earnings release while the stock has drifted higher by 46.6% from its open following the earnings release to be 48.1% above its 200 day moving average of $74.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, May 21, 2019 there was some notable buying of 1,003 contracts of the $90.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 10.9% move on earnings and the stock has averaged a 8.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Workday, Inc. $210.72

Workday, Inc. (WDAY) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.41 per share on revenue of $814.68 million and the Earnings Whisper ® number is $0.44 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $812.00 million to $814.00 million. Consensus estimates are for year-over-year earnings growth of 7.89% with revenue increasing by 31.69%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 27.6% above its 200 day moving average of $165.20. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, May 23, 2019 there was some notable buying of 1,587 contracts of the $235.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 25.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nutanix, Inc. $35.14

Nutanix, Inc. (NTNX) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.60 per share on revenue of $296.48 million and the Earnings Whisper ® number is ($0.58) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for a loss of approximately $0.60 per share on revenue of $290.00 million to $300.00 million. Consensus estimates are for earnings to decline year-over-year by 185.71% with revenue increasing by 2.44%. Short interest has increased by 59.1% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 20.5% below its 200 day moving average of $44.18. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, May 15, 2019 there was some notable buying of 5,000 contracts of the $40.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ULTA Beauty $335.09

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $3.06 per share on revenue of $1.74 billion and the Earnings Whisper ® number is $3.10 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.35% with revenue increasing by 12.72%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted higher by 2.2% from its open following the earnings release to be 14.1% above its 200 day moving average of $293.81. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 6.7% 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 Memorial Day weekend with family and friends, and a great trading week ahead wallstreetbets! :)
submitted by bigbear0083 to wallstreetbets [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:
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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:
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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:
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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

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// 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 May 27th, 2019

Hey what's happening StockMarket! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market this past week, and are ready for the new holiday-shortened trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning May 27th, 2019.

Trade and the economy have become the new roller coaster for markets - (Source)

Trade headlines could be a big factor for markets in the week ahead, but investors will also be attuned to fresh inflation data and moves in the bond market, which is flashing new worries about the economy.
Stocks were on a roller coaster ride in the past week, as markets reacted to worsening trade tensions and concerns that negotiations could be prolonged, causing pain for the global economy. But the bond market’s move was perhaps even more dramatic, as yields, which move opposite of price, fell to levels last seen in 2017, and the futures market began to price in three Fed interest rate cuts by the end of next year.
“There’s not a lot of economic data next week, so events hang over us,” said Marc Chandler, chief global strategist at Bannockburn Global Forex. “It’s more about the evolution of old issues than new issues, like trade and Brexit.”
Brexit will continue to be a focus in global markets. U.K. Prime Minister Theresa May stepped aside Friday after failing to get agreement on a plan for the U.K. to leave the European Union. Chandler said investors will be watching the jockeying among candidates hoping to succeed Prime Minister May, with hard line Brexit proponent Boris Johnson expected to seek the job, among others.
As for trade, Chandler said it’s possible that President Donald Trump’s comments that Huawei could be part of a trade deal may be the start of a new approach by the administration to tone down its rhetoric. The telecom giant has been blacklisted by the U.S. and is expected to be denied access to U.S. components for its equipment.
“In some ways, it’s a headline problem. We think of it more as event risk,” said Nadine Terman, CEO and CIO at Solstein Capital. “China thinks in dynasties and U.S. investors seem to think in durations of days and months, so I think we are misunderstanding the duration of their negotiating strategy.”
She said the issues between the two countries go way beyond trade and extend to China’s military aspirations in the South China Sea and its global campaign of influence through the Belt and Road initiative, Chinese President Xi Jinping’s signature program.
“It’s now become more nationalistic, emotional, to say: ‘We’re going against the U.S. and we’ve got to be in it for the long haul.’ I don’t think you have the same emotion here in the U.S. You don’t have the same nationalistic pride to say ‘we have to fight China at all cost,’” she said.
In the past week, Wall Street increasingly began to expect the Trump administration to turn up the pressure on China with another wave of 25% tariffs on the $300 billion or so in goods remaining that have no tariffs. Those tariffs would directly hit American consumer goods and are expected to take a bigger bite out of the economy.
Fears of a trade war hurting global growth and concerns that the U.S. is already beginning to weaken were evident in the bond market. Treasury yields reflected lowered growth expectations. The 10-year hit a low of 2.29% on Thursday and was at 2.32% Friday.
J.P. Morgan economists Friday downgraded their view of the economy, slicing second quarter growth to just 1% from an earlier forecast of 2.25% and first quarter growth of 3.2%. The economists blamed weak U.S. manufacturing data and said risks were signs of weakness in the global economy and also indications that the trade war was hurting business sentiment.
“The concerns the markets have right now are that we’re moving towards a worst case scenario, and that could persist for quite some time,” said Mark Cabana, head of U.S. short rate strategy at Bank of America Merrill Lynch. “If that’s the case, then the market is believing economic data, and the Fed will likely need to respond to that by trying to offset and prevent a recession.”
The most important data point in the coming week will be Friday’s personal consumption expenditures, which includes the PCE deflator inflation data that the Fed monitors. It was at 1.6% year-over-year last month, and is expected to be the same for April, well below the Fed’s target of 2% inflation.
Inflation has become a key focus on Wall Street, particularly after Fed Chair Jerome Powell said low inflation appears to be transitory and not enough of a concern to make the Fed cut interest rates. Powell and other Fed officials have stressed the Fed is pausing in its rate hiking cycle, is monitoring the economy and does not yet know which way it will move next.
Solstein Capital’s Terman said she is watching the PCE inflation report to see if it confirms her view that inflation and the economy will be weaker this summer.
She also expects the markets to be choppy, and by late summer, around its annual Jackson Hole symposium, the Fed could indicate it could cut interest rates.
“People are going to start getting even more concerned this summer about the U.S.,” Terman said.
Terman said she has been positioned for lower inflation and slower GDP growth with key holdings in utilities, REITs, Treasurys and gold.
“What would do well this summer? Staples, utilities, health care, REITs. You want fixed income. You want to be underweight tech, energy, financials and industrials,” she said.
There is also home prices data Tuesday and advanced economic indicators Thursday. That comes in addition to a few earnings reports, including Costco, Ulta Beauty and Dollar General.
Markets will also be watching the outcome of European parliamentary elections, and if there is a strong showing by populists, there could be a negative impact on the euro and risk assets.

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 this week:

(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!)

S&P 500 Down Four Straight Day After Memorial Day

Our office will be closed for observance of Memorial Day on Monday, May 27. U.S stock and bond markets will also be closed. As you spend some quality time off with family and friends please take time to commemorate those who have paid the ultimate price while serving in the U.S. military.
For decades the Stock Trader’s Almanac has been tracking and monitoring the market’s performance around holidays. The trading day after Memorial Day has a mixed record going back to 1971. Both S&P 500 and NASDAQ have declined more often than risen on the day, but average performance is still positive. Since 1986, the frequency of gains has improved, and average performance has also risen however, over the last four years S&P 500 has declined. The second trading day after Memorial Day has since more advances than declines, but average performance is negative for NASDAQ. The third day after appears to have the best long- and short-term record combined with solid average performance.
(CLICK HERE FOR THE CHART!)

The Bespoke Report - It's All Relative

Hut, Hut, Cut! With weaker economic data to contend with this week on both a domestic and international basis, plus escalating tensions between the US and China, investors are increasingly pricing in a higher likelihood of rate cuts from the FOMC before the year is out. Through mid-day Friday, the Fed Fund futures market was pricing in over an 85% chance of a rate cut between now and the January 2020 meeting. Those are the kind of odds that would make James Holzhauer say "All in."
(CLICK HERE FOR THE CHART!)

Fed Members Side With “Transitory” Inflation

Investors just got more details on Federal Reserve (Fed) policymakers’ views of inflation.
Minutes of the Fed’s most recent meeting, which ended May 1, showed that “many participants” considered slowing consumer inflation as “transitory,” and agreed that the Fed’s current patient approach should help stoke economic growth and inflation. Policymakers’ optimistic view on inflation runs counter to a growing opinion in financial markets that slowing growth in core personal consumption expenditures (PCE) could warrant lower rates.
Markets think the grace period for a “transitory” excuse has passed, but data show it’s too soon to tell. Another measure of inflation, the Fed Bank of Dallas’s “trimmed mean” PCE measure, points to higher pricing pressures ahead. As shown in the LPL Chart of the Day, the trimmed mean PCE, which has proven to be a less volatile version of core PCE, has hit 2% year-over-year growth for the past several months.
(CLICK HERE FOR THE CHART!)
“It’s tough to make a case for lower rates with over 3% gross domestic product growth, healthy wage growth, and a labor market close to full employment,” said LPL Research Chief Investment Strategist John Lynch. “If consumer inflation picks up, the U.S. economy will be near full employment with healthy inflation across the board, fulfilling the Fed’s dual mandate.”
Of course, much has happened on the global front since the Fed’s last meeting. Trade tensions have flared up again, with the United States raising tariff rates on $200 billion of Chinese imports and threatening to increase rates on the remaining swath of goods. Logically, tariffs should be a catalyst for higher consumer inflation, as higher costs should boost price growth. However, the opposite has happened over the past few months, and there are several factors to consider when thinking about future inflation.
Overall, we don’t see a strong argument for a rate cut right now, and we side with the Fed in thinking consumer inflation could pick up as wage growth accelerates and growth stabilizes. At the very least, it’s becoming more obvious the Fed doesn’t have enough clarity to move policy in either direction.

Another Reason For Bulls To Smile

The S&P 500 Index has officially gained each of the first four months of the year for the first time since 2013. This comes on the heels of the best first quarter since 1998. Six straight months in green has been the best monthly win streak to start a year, and that last happened in 1996.
Starting a year with strength like this historically has been a good sign, even though stocks in May saw a nearly 5% correction.
“Although we wouldn’t be surprised to see continued volatility over the coming months, the good news is a great start to a year has had a funny way of eventually resolving higher,” explained LPL Senior Market Strategist Ryan Detrick. “In fact, the rest of the year has been higher an incredible 14 out of 15 times after the first four months were in the green!”
As our LPL Chart of the Day shows, the S&P 500 returns the rest of the year (final 8 months) have been more than twice as strong as the average year returns—10% versus 4.7%—following four straight monthly gains to kick off a new year. There’s always a catch though, and in this case we’ve seen an average pullback of more than 8% the rest of the year.
(CLICK HERE FOR THE CHART!)

Earnings Season Takeaways

We consider earnings season a success based on the amount of upside to prior estimates generated by S&P 500 Index companies despite several headwinds. Companies handily beat expectations to get first quarter earnings up to flat, as shown in the LPL Chart of the Day.
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When earnings season began in mid-April, consensus estimates called for a 4–5% drop in S&P 500 earnings, according to FactSet data. Beating results by this much is impressive considering persistent trade uncertainty and the drag on overseas profits from a strong U.S. dollar. Also consider that the median stock in the S&P 500 has grown earnings several percentage points faster because a few large companies are dragging down the market-cap-weighted calculation.
Resilient estimates are also encouraging. Since April 15, the 2019 consensus estimate for S&P 500 earnings per share has risen slightly to $168 (a 4% year-over-year increase). We consider that a win given that estimates typically fall during earnings season.
“Escalating trade uncertainty and the threat of more tariffs are huge wild cards for corporate profits,” said LPL Chief Investment Strategist John Lynch. “We are hopeful that significant progress can be made on the trade front next month, when President Trump and China’s President Xi are expected to meet at the G20 summit. A prolonged impasse that lasts through the summer would make mid-single-digit earnings growth difficult to achieve in 2019.”
Our base case remains that we will get a trade deal with China early this summer and consensus expectations for 3–4% earnings growth may prove to be conservative. Earnings are hardly booming, but with a continued economic expansion, low inflation, and low interest rates, we see enough earnings growth ahead to push stocks up to our year-end S&P 500 fair value target of 3,000—though it probably won’t get there in a straight line.

Pre-election Year June: Tech and Small-caps Best

June has shone brighter on NASDAQ stocks over the last 48 years as a rule ranking eighth with a 0.6% average gain, up 26 of 48 years. This contributes to NASDAQ’s “Best Eight Months” which ends in June. June ranks near the bottom on the Dow Jones Industrials just above September since 1950 with an average loss of 0.3%. S&P 500 performs similarly poorly, ranking tenth, but essentially flat (–0.02% average). Small caps also tend to fare well in June. Russell 2000 has averaged 0.6% in the month since 1979.
In pre-election years since 1950, June ranks no better than mid-pack. June is the #8 DJIA month in pre-election years averaging a 0.8% gain with a record of nine advances in seventeen years. For S&P 500, June is #5 with an average gain of 1.2% (10-7 record). Pre-election year June ranks #6 for NASDAQ and #7 for Russell 2000 with average gains of 1.9% and 1.1% respectively. Recent pre-election year Junes in 2015, 2011 and 2007 were troublesome for the market as DJIA, S&P 500 and NASDAQ all declined (Russell 2000 eked out a modest gain in 2015).
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STOCK MARKET VIDEO: Stock Market Analysis Video for May 24th, 2019

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 05.26.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NIO
  • $MOMO
  • $GOOS
  • $COST
  • $PANW
  • $ZS
  • $OKTA
  • $WDAY
  • $NTNX
  • $ULTA
  • $DKS
  • $VEEV
  • $ANF
  • $BZUN
  • $DG
  • $DLTR
  • $BNS
  • $YY
  • $MRVL
  • $ASND
  • $CSIQ
  • $CPRI
  • $BAH
  • $BURL
  • $VMW
  • $AMWD
  • $KEYS
  • $ZUO
  • $BMO
  • $PLAN
  • $JT
  • $HEI
  • $GPS
  • $NXGN
  • $PVH
  • $QTNT
  • $NM
  • $EXPR
  • $SAFM
  • $BITA
  • $CMCO
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
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(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 5.27.19 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Monday 5.27.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Tuesday 5.28.19 Before Market Open:

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Tuesday 5.28.19 After Market Close:

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

Wednesday 5.29.19 Before Market Open:

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

Wednesday 5.29.19 After Market Close:

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

Thursday 5.30.19 Before Market Open:

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

Thursday 5.30.19 After Market Close:

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

Friday 5.31.19 Before Market Open:

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

Friday 5.31.19 After Market Close:

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

NIO Inc. $3.86

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat The company's guidance was for revenue of $202.00 million to $220.00 million. Short interest has increased by 127.4% since the company's last earnings release while the stock has drifted lower by 53.3% from its open following the earnings release. On Friday, May 17, 2019 there was some notable buying of 20,289 contracts of the $4.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 16.5% move on earnings and the stock has averaged a 12.7% move in recent quarters.

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Momo Inc. $26.02

Momo Inc. (MOMO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.54 per share on revenue of $533.07 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat The company's guidance was for revenue of $529.00 million to $544.00 million. Consensus estimates are for earnings to decline year-over-year by 21.74% with revenue increasing by 22.51%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 27.9% from its open following the earnings release to be 25.6% below its 200 day moving average of $34.98. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, May 10, 2019 there was some notable buying of 2,208 contracts of the $30.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 13.3% move on earnings and the stock has averaged a 13.0% move in recent quarters.

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Canada Goose Holdings Inc. $47.89

Canada Goose Holdings Inc. (GOOS) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $0.02 per share on revenue of $118.39 million and the Earnings Whisper ® number is $0.06 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.43% with revenue increasing by 19.86%. Short interest has increased by 24.8% since the company's last earnings release while the stock has drifted lower by 19.9% from its open following the earnings release to be 18.7% below its 200 day moving average of $58.93. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 15.0% move in recent quarters.

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Costco Wholesale Corp. $247.30

Costco Wholesale Corp. (COST) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $1.83 per share on revenue of $34.80 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.65% with revenue increasing by 7.54%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 9.7% from its open following the earnings release to be 9.2% above its 200 day moving average of $226.54. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, May 14, 2019 there was some notable buying of 3,428 contracts of the $250.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 4.0% move in recent quarters.

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Palo Alto Networks, Inc. $216.26

Palo Alto Networks, Inc. (PANW) is confirmed to report earnings at approximately 4:15 PM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $1.25 per share on revenue of $703.44 million and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of $1.23 to $1.25 per share on revenue of $697.00 million to $707.00 million. Consensus estimates are for year-over-year earnings growth of 20.19% with revenue increasing by 24.04%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 16.2% from its open following the earnings release to be 1.2% above its 200 day moving average of $213.65. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, May 16, 2019 there was some notable buying of 1,160 contracts of the $237.50 call expiring on Friday, June 7, 2019. Option traders are pricing in a 8.4% move on earnings.

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Zscaler, Inc. $73.76

Zscaler, Inc. (ZS) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $0.01 per share on revenue of $74.54 million and the Earnings Whisper ® number is $0.03 per share. Investor sentiment going into the company's earnings release has 77% expecting an earnings beat The company's guidance was for earnings of approximately $0.01 per share on revenue of $74.00 million to $75.00 million. Consensus estimates are for year-over-year earnings growth of 116.67% with revenue increasing by 51.62%. Short interest has decreased by 8.0% since the company's last earnings release while the stock has drifted higher by 28.3% from its open following the earnings release to be 50.6% above its 200 day moving average of $48.98. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, May 20, 2019 there was some notable buying of 1,380 contracts of the $72.50 put expiring on Friday, June 7, 2019. Option traders are pricing in a 13.6% move on earnings and the stock has averaged a 16.4% move in recent quarters.

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Okta, Inc. $109.63

Okta, Inc. (OKTA) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.21 per share on revenue of $116.66 million and the Earnings Whisper ® number is ($0.17) per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat The company's guidance was for a loss of $0.22 to $0.21 per share on revenue of $116.00 million to $117.00 million. Consensus estimates are for earnings to decline year-over-year by 133.33% with revenue increasing by 39.51%. Short interest has increased by 33.4% since the company's last earnings release while the stock has drifted higher by 46.6% from its open following the earnings release to be 48.1% above its 200 day moving average of $74.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, May 21, 2019 there was some notable buying of 1,003 contracts of the $90.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 10.9% move on earnings and the stock has averaged a 8.4% move in recent quarters.

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Workday, Inc. $210.72

Workday, Inc. (WDAY) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.41 per share on revenue of $814.68 million and the Earnings Whisper ® number is $0.44 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $812.00 million to $814.00 million. Consensus estimates are for year-over-year earnings growth of 7.89% with revenue increasing by 31.69%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 27.6% above its 200 day moving average of $165.20. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, May 23, 2019 there was some notable buying of 1,587 contracts of the $235.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 25.2% move in recent quarters.

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Nutanix, Inc. $35.14

Nutanix, Inc. (NTNX) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.60 per share on revenue of $296.48 million and the Earnings Whisper ® number is ($0.58) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for a loss of approximately $0.60 per share on revenue of $290.00 million to $300.00 million. Consensus estimates are for earnings to decline year-over-year by 185.71% with revenue increasing by 2.44%. Short interest has increased by 59.1% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 20.5% below its 200 day moving average of $44.18. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, May 15, 2019 there was some notable buying of 5,000 contracts of the $40.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.3% move in recent quarters.

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ULTA Beauty $335.09

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $3.06 per share on revenue of $1.74 billion and the Earnings Whisper ® number is $3.10 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.35% with revenue increasing by 12.72%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted higher by 2.2% from its open following the earnings release to be 14.1% above its 200 day moving average of $293.81. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 6.7% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic Memorial Day weekend with family and friends, and a great trading week ahead StockMarket! :)
submitted by bigbear0083 to StockMarket [link] [comments]

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