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Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

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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How To Start Trading Forex Reddit

How To Start Trading Forex Reddit

How to trade Forex and be profitable

Hello and thank you for being here again!
In this article I want to show you how I structure my operations by trading in the currency market. If it can give you ideas or help you in your process, the objective of this post will be more than fulfilled. I will try to be as clear and direct as possible. I'll go point by point:
Index
  • 1. How to trade
  • 2. Intraday or swing trading in Forex?
  • 3. Automatic or Manual Forex Trading
  • 4. Is analysis the key to Forex trading?
  • 5. Learn to create robust trading strategies
  • 6. Best Forex Trading Strategies
    • 6.1. Trading strategies with very simple entry and exit criteria
    • 6.2. Systems with a not very high number of operations or trades
    • 6.3. Strategies with a controlled return/risk
  • 7. Establish connection and disconnection rules for your systems
  • 8. Diversify in Forex
  • 9. What currencies to trade on Forex
  • 10. Why invest (only) in Forex
  • 11. Steps to trade
  • 12. How to start as a professional trader (without knowing how to program)
>>>Start trading with Plus500: open a free account

1. How to trade the Forex Market

Focusing on the basics and keeping it simple. Let me explain, you don't have to rely on hyper-complex strategies, use the software that PETA it and put it on the server next to your broker ... you don't have to be the best programmer, much less get dirty on the graphics of your platform to win money in Forex.
You need systems. The systems work. Results-oriented companies and work methods are systems-based. You should start applying and creating systems because they will allow you:
  • Know what you can expect (return and risk) in results.
  • Measure what you do .
  • Know when what you are applying is stopping working.
Yes, that sitting in front of the computer, looking and saying "I think EUR / USD is going to rise" is the most common thing, but the normal thing here is to lose money. You need winning strategies to start the fight.

2. Intraday or swing trading in Forex?

This question is an interesting question and I make a small indent if you are just starting out. Swing trading are operations that usually last several days and when we talk about intraday or day trading we refer to operations that are closed on the same day.
Well, which one then? Like everything in life, it depends (we are). You have to learn that there is no “best for all”. In my case I combine both operations because I dedicate myself full time to this, but if you are just starting out or are one of the people who get stressed out with trading, I recommend that you focus on swing trading.
As you consolidate here you can start to scale and seek to diversify by doing intraday. But again, this is just something that I recommend based on my own experience and from people I have known over the years.

3. Automatic or Manual Forex Trading

Not all automated Forex trading systems are a panacea, nor are all discretionary or manual systems bad. Stop looking at it like that, we're only talking about execution. This is precisely why I am opting for automated execution. We could talk at length about this and if you find it interesting I can dedicate an article just to it. But think that automation is just how strategy is carried out. Whether this is a winner or a loser is the basis of everything.
Automating a losing strategy does not make it a winner, it is only about applying strategies that are profitable and ensuring that they are executed in the best way (in manual we always cheat alone).

4. Is analysis the key to Forex trading?

Many people think that technical analysis is the key to beating the market and defend it to the last consequences. The same happens with those who think that the only way to make money in the foreign exchange market is through fundamental analysis.
So what really works? What really works and you can check. What good is it if you tell me that this or the other is the best method if you haven't even sat down to draw numbers. Many times it is not with what, but how. That is, they can be different valid methods if they are done well. But for this you need statistics of what you are doing.
>>>Recommended Forex Broker: Plus500 - Visit official website<<<

5. Learn to create robust trading strategies

Let's first see what a robust trading strategy is all about. As traders, we know what has happened in the past, but we don't know what will happen in the market tomorrow. That is why we need systems that are well adapted to changing market circumstances.
How can we know systems adapt well to alterations in the spread, prices ...? Simulating those alterations, something like simulating those conditions and seeing how they behave. There are different tests for this such as: Walk Forward test, Montecarlo, and Multimarket.
These tests give us an idea of ​​how robust our created trading system is and give us a reference. Be careful, I said reference, not absolute truth. Then we will test them, our goal is to leave as little space as possible to chance.

6. Best Forex Trading Strategies

You may be wondering how you are going to manage to create profitable strategies and start with all this. Calm down, there are tools for this, but the important thing here is that you know that the strategies that tend to be more stable over time and give better results are:

6.1. Trading strategies with very simple entry and exit criteria

The opposite of what you may have been told. The simpler our Forex trading systems are, the more likely they will continue to work overtime. I have seen this myself and I know it first hand.
Also, which is more likely to stop working, a system based on six indicators or a system based on one or two? That six indicators continue to give results for years and years is not easy. Instead, only one or two are more so. Still, trading systems should always be supervised.

6.2. Systems with a not very high number of operations or trades

Sometimes when we become obsessed with being in the market constantly making gazillions of trades, we are giving our broker money and taking it out of our pocket. More is not better in trading, better is better. This is about getting the most money with the least risk, not giving it to your broker.

6.3. Strategies with a controlled return/risk

You see a strategy, you look at its profit in the last months and years and you are already thinking about connecting it. Error, always look at the return associated with the drawdown. The drawdown of your system is, in short, the maximum consecutive drop it has had. Because it is important? Because if that fall has occurred in the past, it can happen again (and bigger, believe me). Now you may be thinking, what if this happens to me?
Next, I will explain it to you, but first an example of a system that meets all these characteristics (so you can see that it is simpler than it seems:
https://preview.redd.it/cozy880jl9v51.jpg?width=1024&format=pjpg&auto=webp&s=8e14a68538372be8e7ae109d86cd7d132d60fa07
Here more statistics:
https://preview.redd.it/hh5m7saml9v51.jpg?width=997&format=pjpg&auto=webp&s=f1597e3b05350d6fca1ea68ef18004f4340e6a1a

7. Establish connection and disconnection rules for your systems

All methods of trading sound great. The problem is when they start to lose. Some tell you that you have to continue, that the system is the system… But what if the system is stopping working? After all, we live in a changing world and our money is not infinite.
The reality is that many people do not know how to determine when the system is failing or when this happens because they are applying it incorrectly. If you execute the strategies in an automated way you are already saving this, then what you need is a rule to deactivate your strategies at a certain point. To do this, it is enough to monitor them with platforms such as Bluefox or Myfxbook to know what the performance of each is.

8. Diversify in Forex

If we deactivate a Rubén strategy, we stop trading. Not if you activate another that has been doing it well. It is not about you running a Forex trading system or two, it is about having different systems: the best in real and a demo base created that you can include in your real account when you deactivate one because their performance has dropped.
You can diversify by you I frame (temporality time) on assets (currencies) or types of systems (trend, mean reversion ...).
The objective of diversifying is to seek a more stable return, many people do for this is to introduce many systems without more, if you do this you will achieve the opposite, you will be increasing the risk.

9. What currencies to trade on Forex

I recommend that you focus on the majors or major currency pairs, especially if your broker has a high spread, as it is usually lower on these. One of the advantages of automating is that you can scale your trading and do it in different currencies, diversifying as I said before. These are the assets that I have traded in recent months:
https://preview.redd.it/4myzmwlxl9v51.png?width=800&format=png&auto=webp&s=7635d085d2b434e3d3da0420937c245b6cd21339
It starts with being profitable with a few (one or three assets) and as you evolve you can grow your portfolio.

10. Why invest (only) in Forex

I will not be the one to tell you that you should invest in Forex and not in another market. Each one belongs to his father and mother and has its good and not so good things. Of course, one thing is clear, wherever you do it, remember the power of specialization. There are traders who focus on one or two assets and they are profitable. In the end, that's what it's all about, isn't it?
This operation can be extrapolated to different assets such as raw materials, indices and cryptocurrencies. Yes, cryptocurrencies too. In fact, my operations are mainly based on currencies and cryptocurrencies (85% in the first group and 15% in the second). But I have to say that cryptocurrency trading has given me a pleasant surprise this year.
Again, if you are starting, do not do it with many assets or you will saturate yourself. Start step by step and diversify as you evolve. Jack of all trades, master of none.

11. Steps to trade Forex Reddit

If you've gotten this far, it may not be entirely clear to you how the hell I trade, then I'm going to summarize it in steps:
  1. I create statistically profitable trading strategies and verify through tests that they are robust.
  2. I put them on a demo account to make sure they work perfectly.
  3. Once they meet the requirements that I demand of them, I pass them to real.
  4. In real account, I manage my systems connecting and disconnecting them according to their performance (always under objective criteria).

12. How to start trading Forex Reddit as a professional trader (without knowing how to program)

But Rubén, I haven't studied computer science and I'm not particularly good at math. Don't worry if you don't know how to program, it is possible to do all this using tools that will do it for you. For years I have programmed my own systems myself and that's fine, but now I'm concentrating on managing them and getting the most out of them. Do not think that this is the robot that will make you earn millions of euros while you drink the gin and tonic on the beach.
We will read soon with new posts about trading, Forex, cryptocurrencies, platforms ...
Good luck!
To start trading, open an account on Plus500, one of the leading Forex brokers: Click Here
submitted by kayakero to makemoneyforexreddit [link] [comments]

Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

The Last Time I Write Another One of These Cringey Things (I hope...): Part 2892, The Worst Sequel and Wall of Text, ever

Hiya, folks...! It's another wall of text from some random person who could be doing just about anything else except for this... Who's ready for some paragraphs from some stranger?
I know you'd rather be doing anything else, or maybe not haha.. But it does mean a lot if you do take the time to try to attempt to accurately type me... I will DEFINITELY NOT overthink it this time, and take your consideration FULLY to heart, and stop overthinking my MBTI type and live happily ever after! (Hahahahhaha...! ... ...)
...
Ok, let's begin!

I am a freshly 23 year old male that likes to do average Redditor bullcrap. Video games, memes, music, making my finger go up and down endlessly while staring at a glass LED screen with pixels on it while feeling like I've accomplished nothing. Just average stuff, I suppose. I'm not really that interesting tbh...
I work at home and I am just "vibing", as the kids say. I have some long term projects planned, but I'm at least trying to rest up from a really shitty 7 years that I've had back to back to back so... Nothing really insightful to write here haha..
Likely several... I had a very traumatic childhood that I constantly gaslight myself about like saying things like "it wasn't that bad, people have it worse" and much worse..
I disassociate from reality every 2.5 seconds, can't focus, have terrible insomnia, EXTREMELY low energy, mood swings, brain fog, random body pains 24/7, seventeen billion repressed emotions which don't help out anything else that I'm dealing with, memory problems, and I need caffeine to do the bare minimum of just about anything on most days, but some of that could be average American problems.
I've suspected I have some form as Aspergers, and probably A TON of mental illnesses, such as OCD, anxiety, depression, and maybe a personality disorder.
My upbringing is a very mixed bag overall. I would not say I had a typically "tragic" childhood (there goes me gaslighting myself LOL) because people have DEFINITELY had it worse than me. But I can't sit here and pretend everything I went through was "normal". To attempt to sum it up, I basically was a "gifted" kid who got good grades throughout school and maintained my image of being this perfect kid, but meanwhile in the shadows, I was just slowly dying inside and suffering from a lot of imposter syndrome (amongst other things), which I'd definitely would say is warranted because I was NOT cut out for anything in school and it showed. I basically faked my way through school, got burnt out EARLY but got mega burnt out by senior year, and basically started college with no plan but somehow still managed to graduate (barely) and just kinda end up where I am now.
As far as a religious upbringing is concerned, I definitely was heavily influenced by religion, in kind of a negative way (?) Religion and I have a VERY weird relationship. On the one hand, I guess I love my religious friends, the lessons I learned from it, and a lot of what it says, but on the other hand I can not ever be a part of one mostly because of some of the dogmatic thinking and extremely toxic aspects to it that people use to justify hate and violence, and that's not really my type of thing. Also, I used to be really kinda "uppity" or arrogant about my religion, and now I DESPISE seeing the same type of "holier than thou" attitude projected. It kinda irks me on the inside.
Looking back, my response to it all was a major polarity shift from one extreme, to the other, and now where I'm at, I can look back at both sides and take the good from both. What do I mean by that? Welllllll... I mentioned earlier how I can't stand the "holier than thou" type, and for a while, that was DEFINITELY me. I was REALLY into it and took it extremely serious. I wouldn't mind being called "lame" or "whack" for having my faith, but looking back, it really made my quality of life kinda worse because I did have those strong beliefs and those off-putting characteristics that ostracized me from my peers and some potentially great experiences. I grew out of this and then became an EXTREME atheist, and for a while, it felt freeing. I felt better, smarter, edgier, and just superior, but looking back, I was just cynical and a total asshole, and arguably worse than the "holier than thou douche persona" that I had growing up. Luckily, my extreme atheism phase kinda fizzled out after some other trauma that happened around the time I became an atheist, and now, I can respect religion and be open to it, the ideas, and the amazing things that come from it while also maintaining my independent thinking but not to the point of being "hur dur be skeptical and point out everything wrong with religion all the time and be an asshole for no reason to religious people", if that makes any sense.
As far as my relationship to the structure in my life.. It's kind of a mixed bag. I had a pretty suffocated childhood, and I wasn't allowed certain things, but I guess it wasn't really all that bad in the end, or at least as it could've been. Most of this was just protection from a single parent who just didn't want anything to me and wanted me to be the best I could be in life, and I can respect this and look back on some parts of my structured childhood with fondness. But I most certainly got sick of it all by the time I was almost finished with highschool and in a lot of my college career. I basically used to be Mr. Structured. I had everything organized, I was neat, clean, got everything done at the right time, all the good stuff. But my brain just got tired of maintaining that forever, because I was already pretty much bad at life, but I was forced to just continue faking everything until something happened. So, by the end of high school, I lost all of those characteristics and became extremely sloppy. But I really do blame that on being physically tired. Being as organized as I was was TAXING because of how I overdid it. And now, thinking back, a lot of my structuredness was just on the surface level, and it was me trying to live up to everyone's standards and be just on top of everything, all the time, at a VERY unhealthy level, and that's probably what burnt me out too. I was addicted to the image of being this extremely put together person who has their shit together, while not having absolutely any shit to get together because I was withering away inside faster than fresh cotton candy from the fair melts in your mouth when your mouth is dry.
So, basically to sum it all up, I was a really clean cut religious smart "gifted" kid who wasn't really that, at all (AND I still don't know who I am now tbh haha) and I got tired of putting on that image all the time and turned to a dirty neckbeard atheist cynic for a short time, and then balanced out to whatever the fuck I am now because I wear 238234 different masks for each and every occasion, but THAT'S a different story haha.. I look back at both equally cringey and horrible chapters of my life with some scorn for myself and the times, but overall a much more understand a balanced perspective, because I had to go through it all to be me, and I'm just glad I can be here now. I'd say I definitely liked moments from those chapters, but overall, I'm much happier where I'm at now, which is not nearly as anally obsessive at the concept of being structured and not nearly as hyper-faithful to my religion or just a total asshole piece of shit atheist.
Right now, I'm sorta half employed. I do trade a bit on the Forex markets from signals groups and make enough to help out my family, and buy myself things here and there. I'm only really doing this because I went through a really shitty 7 years and I just need time to myself to kind of figure out, A LOT (clearly, as you can see by reading this HORRIBLE reddit post LOL) and rest. I just like the amount of freedom I have, and the money. I really like the idea of me having money saved and ready for any emergency, or family member or friend. I just need money to help out, stay safe, and to have time for myself to rest and take care of my health, or just pursue all the hobbies I missed out on, and I'm totally fine doing this the rest of my life. I don't really need or want that much in life, and I've always kind of been like this. I just want things to be peaceful and simple, so that my mind can be at ease and to just have free time for myself and a solution for any random chaotic emergency that happens because my mind always thinks of the worst that can happen by catastrophizing literally everything ever in the world. So my "career" is just a means to an end, like I'm sure a lot of people's careers are, unless you happen to have a passion or something, which is also amazing.
I do like writing, and I do wanna finish my book. I daydream a lot about it, and sometimes that's much more fun than actually writing it, but I do wanna finish it, but I also want it to be absolutely perfect and plothole free, and much more. I also wanna do YouTube and Twitch, but I feel like I have a lot to do as a person before I can freely be on those sites as a full person/"influencer" (I have so many mixed feelings about having a full time career as an influencer and having my life under that much pressure and scrutiny, BUTTTTT that's a different discussion...), so I might pursue those slowly or just freestyle it for fun. Those were my big dreams as a kid, but growing up, I see that writing a good book is damned hard (worth it, but hard) and being a Youtubesocial media star is a different world entirely, and I don't know how I feel about it. Like, I know I'd never be a Shane Dawson (YIKES) or Cryaotic (EWWWWW) but to even just disappoint one person, or have any sort of fuckup, or.. I don't know where I'm going with this... Basically, everything I suffer from now would only be amplified by having a YouTube career, my people pleasing tendencies, my over obsession with being perfect for others/myself, my workaholic tendencies, my being hard on myself, my fear of fucking anything up, and my imposter syndrome, those would all go BRRRRRR if I got any decent success on YouTube, so... *Phew*
That's my weird relationship with my life, and where I wanna go with it. To be honest, I'd be happy where I'm at right now, because at the end of the day, as long as I'm healthy and my family is happy, I'm ok, but a part of me also wants to live out those big dreams like having my book be a thing and animated, and being a good YouTuber, meme maker, Twitch streamer, all the above at the same time but my insecurities are like "BWAHAHAHAHA", so I'm just like: -_- But I'll figure it out! Hopefully..
Hm... Interesting question. Honestly, I'd never feel lonely on weekends by myself. Even when my friends are doing better things or aren't around, I don't really feel lonely I guess. Most of the time I have weekends alone, I feel pretty refreshed I suppose. It's kinda hard to tell haha.. This feels more like a circumstantial question where a myriad of things that are going on during the hypothetical week or just in my life/mind would determine this answer. Sometimes I just need that weekend to recharge and be alone and in my thoughts, or watching Netflix or being an absolute video game degenerate while dancing alone in my room and eating junk food. And sometimes, I like to be out and about with my friends, or just doing stuff. I probably lean more towards refreshed though, overall in a general sense.
BIG YIKES. I feel like a non human that doesn't belong on this planet or universe 99% of the time. I'm VERY slow, awkward movements, jittery, sometimes it looks like I was born yesterday with my grasp on physical reality, but yet, I do interestingly enough find myself loving to sweat and workout. I don't really have the coordination for any type of real sport, but I do like walks and I would run if I lived in an area where I could have a private or peaceful run where I would not be interrupted or seen by anyone because I look HIDEOUS running. I won't say I could never get into running at a professional or serious level, like with a group, but I'd just say it's more unlikely, for now. It sounds really exciting and interesting to be good at something physical, and I have always admired people who could do really sick stuff in sports, and I've always wanted to do it. But, right now, my uncoordinated ass will stick to just riding my exercise bike occasionally to burn off some restlessness and help me sleep betteperform better because working out makes my brain feel oddly stable lol. (I guess that's why I have such a fascination with physical stuff even though I am absolutely hopeless in most of it in the grand scheme of things)
I don't know if I'd say I'm curious, I guess I just think a lot. Like, I'll see something or watch something and daydream about it all the time, making new ideas out of it in my head or creating something new with it, trying to take it a new level or understand it at a different level, if that makes sense. Like, I'll sort of mentally digest something and that's what gives me inspiration, or ideas. I take in everything as I go and make up new shit with it later on (LOL this sounds like regular human being talk, because everyone does this).
I would say I have a lot of ideas on everything. I daydream about random chapters in my book a lot, like full on scenes. I'll daydream about a new melody for a song I've never heard with lyrics, and I'll try to make lyrics in my head and extend the melody. I'll daydream about my interactions in life, and just how I could have responded differently, or maybe what the other person is thinking, or feeling, or stuff like I wonder if they're okay. I'll daydream about new memes I can make, or me in an interview (OMG MEGA CRINGE ROFL). I pretty much daydream about... Everything. And then I'll daydream about what I'm daydreaming about, and why I'm doing it, and it gets too meta at that point. (this could very well just be maladaptive daydreaming and NOT indicative of any cognitive function ROFL)
Nope, nuh uh. I am too much of a people pleaser and pushover. I'd be dead or betrayed before my first week is over. The thing about me is that generally, I feel like I'd be a terrible leader because I can overthink a lot, all the time, and I'd be slow to action and prone to analysis paralysis and extreme people pleasing tendencies. I can also be conflict avoidant, and just want people to be happy, so I'd let a lot of stuff slide that I maybe should not. Now, don't get me wrong, I can be firm and tough when needed, but eventually that'd be too much for me to bear, and I couldn't be in a position like that for long. I genuinely hope I never become a leader, because even when I'm looking back to five minutes ago, I can say that "ew, that's cringe bro", so I clearly have a lot of work to do before I have something that serious on my plate.
HAHAHHAHAHHAHAHAHA. Funny question. But.. Yeahhhhhhh... No. I am NOT coordinated. I can barely walk in my kitchen without the fear of me accidentally turning wrong or moving incorrectly and just breaking something or knocking over everything in the kitchen. SOMETIMES I'm in James Bond mode, and it feels like I can do anything physical, and I feel aware of everything, my body, my surroundings, and I can actually move like a human being, but that usually doesn't last long. I can do just the bare minimum that an average human can do, but MUCH MUCH worse and at a greater cost of my energy, and my mental energy trying not to fuck anything up because I have literally just been sitting at times and barely move and knock over EVERYTHING somehow, because that's just how much my body was not meant to be on planet earth and I maybe should have been incarnated as a slug, idk.
I'd describe myself as artistic, even if I haven't drawn in years LOL. But let me explain... I do still have a love for it, I just haven't really been able to practice. In general, my art is just aiming for whatever is in my brain, and I don't have a solid style. I'm just going for whatever I'm going for in the moment. I prefer a mix of realism with some "quirks", if that makes sense. While I haven't drawn in a while, this is how I'd imagine I'd want my art to look nowadays. Pretty realistic with perfect everything, perfect features, perfect environment or whatever I'm illustrating or going for (perfect features on a person, all the hair strands drawn individually, etc), with a mix of my own little "spice", if that makes sense. Back in the day, my art was just trying to copy classic anime, and while I have no problem with that style, I just wanna kinda make my own style, even if that is hard to verbalize lmao.
Alright guys.. I would write more, but I'm sleepy and some of this is getting dumb/boring (as if it wasn't already LOL). I'm glad you made it this far, and thank you for reading and putting up with this actual garbage fire of a post. Please take care of yourselves during these crazy weird times, and I hope you are doing well. I look forward to reading you guys responses (if I get any LOL).
Stay amazing, and stay healthy :3
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!Important: Signals aren't a recommendation for action. Signals are the results of marketing research on a specific algorithm, a trader has got to understand how signals are formed, and what's current market tendencies to form the proper decision.

Signals for binary options
!Important: vfxAlert don't offer trading strategies. vfxAlert offer signals and real-time statistics counting on current indicators values. See below:
The trading strategy may be a system of rules, on the idea of which the trader makes his own decisions. Such a system is made only on the idea of individual trading experience, gleaned knowledge and purchased skills. The strategy allows a deep understanding of the structure of the market and therefore the mechanisms of its operation, therefore, the exchange player makes decisions supported the present situation. On the idea of a private strategy, a trader can develop several trading systems and use them counting on market conditions. The strategy always takes under consideration fundamental factors, statistical data, also because the basic postulates of risk and money management.
submitted by vfxAlert3 to u/vfxAlert3 [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

Tips From A Lifer

I’ve been reading these posts on an off for quite some time now and it saddened me to see someone had recently posted their “I quit the game” statement. We all walk through fire to stand in the green valley...and the journey has to be made on foot. And alone. And it’s tough.
In response, I wanted to add a list of pointers for people starting out in this insane game and to address what I’ve learned from over a decade of trading Forex. It’s long-ish but it’s based on reality and not a bunch of meaningless retail junk systems and “insider knowledge” by nitwits on YouTube or some 19-year old “whiz kid” who apparently makes ten billion dollars a week with a mystical set-up that’ll only cost you $1,999 to buy!
I became a profitable trader by keeping everything simple. I lost thousands when I started out, but I look back now and realise how easily I could’ve avoided those losses.
Keep Everything Simple.
For the sake of disclosure, I worked for Morgan Stanley for over a decade in fixed income but learned almost everything I know from the forex guys whom I got to know as good friends. They make markets but there’s still a lot to learn from them as a small fry trader. I got into all this as a hobby after annoying the traders with questions, and all these years later it still pays me. There are still occasional nightmare accidents but they’re far rarer to the point where they don’t affect my ROI.
Possibly the most clear statement I could make about Forex trading in the large institutional setting is actually a pretty profound one: Forex traders are not what you think they are: every single forex trader I ever worked with (and who lasted the test of time) had the exact same set of personality traits: 1. NOT ONE of them was a gung-ho high-five loudmouth, 2. Every single one of them analysed their mistakes to the point of obsession, 3. They were bookish and not jocks, 4. They had the humility to admit that many early errors were the result of piss-poor planning. The loudmouths last a year and are gone.
Guys who last 5, 10, 20 years in a major finance house on the trading floor are nothing like the absurd 1980s Hollywood images you see on your tv; they’re the perfect opposite of that stereotype. The absolute best I ever met was a studious Irish-Catholic guy from Boston who was conscientious, helpful, calm, and utterly committed to one thing: learning from every single error of judgement. To quote him: “Losing teaches you far more than winning”.
Enough of that. These points are deliberately broad. Here goes:
  1. Know The Pairs. It amazes me to see countless small account traders speak as though “systems” work across all pairs. They don’t. Trading GBP/CHF is an entirely different beast to trading CHF/JPY. If you don’t know the innate properties of the CHF market or the JPY or the interplay between the AUD and NZD etc then leave them alone until you do. —There’s no rush— Don’t trade pairs until you are clear on what drives ‘commodity currencies’, or what goes on behind currencies which are easily manipulated, or currencies which simply tend to range for months on end instead of having clear trends. Every pair has its own benefits and drawbacks. Google “Tips on trading the JPY” etc etc etc and get to know the personality of these currencies. They’re just products like any other....Would you buy a Honda without knowing a single thing about the brand or its engine or its durability? So why trade a currency you know nothing about?
  2. Indicators are only telling you what you should be able to see in front of you: PRICE AND MARKET STRUCTURE. Take everything off your charts and simply ask one question: What do I see happening right here and right now? What time frame do I see it on? If you can’t spot a simple consolidation, an uptrend, or a downtrend on a quick high-versus-low time frame scan then no indicator on the planet will help you.
  3. Do you know why momentum indicators work on clear trends but are often a complete disaster on ranges? If not, why not? Do you know why such indicators are losing you tons of trades on low TFs? Do you actually understand the simple mathematics of any indicator? If the answer to these questions is “no” then why are you using these things and piling on indicator after indicator after indicator until you have some psychedelic disco on your screen that looks like an intergalactic dogfight in Star Wars? Keep it simple. Know thy indicator.
  4. Risk:Reward Addiction. The greatest profit killer. So you set up your stops and limits at 1:1.5 or whatever and say “That’s me done” only to come back and see that your limit was missed by a soul-crushing 5 pips before reversing trend to cost you $100, $200, $1000. So you say “Ah but the system is fine”. Guys...this isn’t poker; it doesn’t have to be a zero sum game. Get over your 1:1.5 addiction —The Market Does Not Owe You 50 Pips— Which leads to the next point which, frankly, is what has allowed me to make money consistently for my entire trading life...
  5. YOU WILL NEVER GO BROKE TAKING A PROFIT. So you want to take that 50-pip profit in two hours because some analyst says it’ll happen or because your trend lines say it has to happen. You set your 1:1.5 order. “I’ll check where I’m at in an hour” you say. An hour later you see you’re up 18 pips and you feel you’re owed more by now. “If I close this trade now I could be missing out on a stack”. So what?! Here’s an example: I trade in sterling. I was watching GBP climb against it’s post-GDP flop report and once I was up £157 I thought “This is going to start bouncing off resistance all morning and I don’t need the hassle of riding the rollercoaster all day long”. So I closed it, took the £157, went to make breakfast. Came back shortly afterwards and looked at the chart and saw that I could’ve made about £550 if I’d trusted myself. Do I care? Absolutely not...in fact it usually makes me laugh. So I enter another trade, make another quick £40, then another £95. Almost £300 in less than 45 mins and I’m supposed to cry over the £250 I “missed out on”?
£300 in less than an hour for doing nothing more than waiting for some volatility then tapping a keyboard. It’s almost a sin to make money that easily and I don’t “deserve” any of it. Shut off the laptop. Go out for the day.
Does the following sound familiar? “Okay I’m almost at my take-profit...almost!.....almost!....okay it’s bouncing away from me but it’ll come back. Come back, damnit!! Jesus come back to my limit! Ah for F**k’s sakes!! This is complete crap; that trade was almost done! This is rigged! This is worse than poker! This is total BS!!”
So when you were 50% or 75% toward your goal and could see the trade slipping away why wasn’t $100 or $200 enough? You need more than that?...really?!
So point 6:
  1. Tomorrow Is Another Day. Lordy Lordy, you only made $186 all day. What a disaster! Did you lose anything? Nope. Will the market be open again tomorrow? Yep. Does London open in just four hours? Yep. Is the NOK/SGD/EUR whatever still looking shitty? Yep. So let it go- there are endless THOUSANDS of trades you can make in your lifetime and you need to let a small gain be seen for what it is: ANOTHER BEAUTIFUL PROFIT.
Four or five solid but small profits in a day = One Large Profit. I don’t care how I make it, I don’t care if it’s ten lots of £20, I don’t care if I make the lot in a single trade in 30 seconds either. And once I have a nice sum I switch the computer off and leave it the Fk alone. I don’t care if Brexit is due to detonate the pound or if some Fed guy is going to crap all over the USD in his speech; I’ve made my money and I’m out for the day. There will be other speeches, other detonations.
I could get into the entire process by which I trade but it’s aggravatingly basic trend-following mostly based on fundamentals. Losing in this business really does boil down to the same appalling combination of traits that kill most traders: Greed, Impatience, Addiction. Do I trade every day? Absolutely not; if there’s nothing with higher probability trades then I just leave it alone. When I hit my target I’m out for the day- the market doesn’t give a crap about me and I don’t give a crap about the market, if you see my meaning.
I played poker semi-professionally for two years and it’s absolutely soul-destroying to be “cold decked” for a whole week. But every player has to experience it in order to lose the arrogance and the bravado; losing is fine as long as you learn from it. One day you’ll be in a position to fold pocket Kings because you’ll know you’re dead in the water. The currency markets are exactly the same in that one regard: if you learn from the past you’ll know when it’s time to get out of that stupid trade or that stupid “system” that sounded so great when you had a demo account.
Bank a profit. Keep your charts simple. Know the pairs. Be patient. Touch nothing till you understand it inside out.
And if you’re not enjoying the game....STOP PLAYING.
[if people find this helpful I might post a thread on the best books I’ve studied from and why most forex books are utterly repetitious bullshit].
Peace.
submitted by Dave-1066 to Forex [link] [comments]

WikiFX: the murky business and the murkier methods

WikiFX: the murky business and the murkier methods
https://preview.redd.it/1rf74ljv34l51.png?width=960&format=png&auto=webp&s=566235871ce22dd3078f0532dfb672bff6eb0707
The irony of financial markets is that this business that officially has got as much regulation as arms trafficking, has also got the same problem –- numerous illegal entities that evolve around the niche.
Scam brokers, funds recovery services that rob the robbed traders, HYIPs, “learn how to make millions overnight” trading courses and a number of other schemes all tend to exploit the weak point of human nature – the belief that there is the magic device with the “MORE MONEY” button out there, that someone can sell you.

A thief shouting “Thief!”

Considering the above there is a high demand in society for truthful and unbiased information about the market players. WikiFX claims to be the provider of such honest information about brokers but in fact, makes money by blackmailing brokers and promoting any company that offers to pay enough in their rankings.
WikiFX is a classic illustration of a thief shouting “Get the thief!” louder than anybody else in the crowd. The strategy works unfortunately and traders tend to trust WikiFx broker’s ratings without questioning what these ratings are based on and who sponsors this global brokers’ database.

Paving the road with some good intentions

Even the most horrible crimes against humanity were done under the cover of best intentions. Starting with the first crusades and ending with the holocaust. There are always some sound arguments, protected people and reliable methods.
Ask any trader whether each forex broker must be regulated by a third party? The answer will be “yes” with a near 100% probability and this answer is totally correct. Know-your-customer procedures and some unbiased third-party control are essential for maintaining the overall transparency of any business in a sphere of finance. This is the argument that WikiFX starts with when promoting its service and there is absolutely no point to argue. Starting with an indisputable truth is a good strategy to win the debate.
“The long-term presence on the market adds credibility”, – says WikiFX, and hears “yes” again.
“Don’t you agree that the longer the company is in the business, the better?”. “Sure”, – the trader agrees one more time.
The mission is completed. This is when the broker ranker can add any other criteria to their appraisal methods. Traders will tend to trust the service because they’ve agreed upon the most important criteria. The rest are minor details.
But what if the rest of the appraisal methods are not just minor issues? What if these details can be the means to manipulate the facts as much as they want to?

Can WikiFX appraisal criteria be trusted?

If we take a look at any broker’s WikiFX rating, we can see that the criteria of appraisal are the following:
  • The year of registration
  • Regulations
  • Market Making license
  • Software license
For example, this is what the top-rated broker’s summary looks like at WikiFX:
WikiFX Forex com example
https://preview.redd.it/t4ugtbt344l51.png?width=625&format=png&auto=webp&s=95fddf8434faf8938d1a3f18bbd5f1da2ceb47e4
Looks good. Really. Regardless of the attitude to this particular brokerage, the work seems to be done fine. All the regulators are listed below, the information on the used software, licensing, and years of operation is included.
But what if we take some other random brokerage with one of the lowest rankings at WikiFX?
NinjaTraderBrokerage WIkiFX Ranking
https://preview.redd.it/pgyqp0u644l51.png?width=631&format=png&auto=webp&s=eb268faac83608a494c31a39eb1621f7132e3520
This is where the truth reveals itself. Once again, regardless of the attitude to this particular brokerage this is really easy to find out what they do, what licenses they’ve got and what kind of software they use.
Suspicious clone? Seriously? If WikiFX staff cared enough to do any investigation prior to stamping that “Suspicious” mark on the brokerage, they would have seen that both domains, nijatrader com and ninjatraderbrokerage com belong to the same entity.
NinyaTrader whois data
https://preview.redd.it/2097lkw944l51.png?width=563&format=png&auto=webp&s=079cc4248b825a3cd941c6b691a67bb9769f4f7f
If they cared enough to collect information on the brokerage from at least one reliable source, like Investopedia or any other similarly known database, they would also have found out that the company not only provides the brokerage service, but also is known for its trading platform with advanced technical analysis tools. But the only trading software that WikiFX considers reliable seems to be MT4/MT5. They simply ignore the fact that trading does not evolve around MetaTrader products, no matter how good and popular they are. WikiFX lowers the score of any brokerage with custom-developed software. We can clearly see this with the above example.
Other criteria that WikiFX is proud to use for the broker’s appraisal are regulations. Using the same example let’s see how well they do the appraisal in this field. As you can see above, WikiFX used the “Suspicious Regulatory License” stamp for NinjaTrader Brokerage.
And here is what The National Futures Association, that NinjaTrader is registered with as a futures broker has on its record:
NFA regulation of NTB proof that WikiFX did not consider to be trustworthy

https://preview.redd.it/di8fwkdd44l51.png?width=629&format=png&auto=webp&s=2de618d5df26bd8fcca99c51a6030f4bdfa7f776
We can’t expect every trader to know that any futures broker that wants to operate on the US market must be a member of NFA. This is the requirement of the Commodity Futures Trading Commission regarding the futures broker’s operations. But this is totally unacceptable for a broker ranking website, which WikiFX claims to be, to mark NFA-registered futures brokerage as non-reliable.
By the way, did you notice on the above screenshot that NTB has obtained the NFA license in 2004? Yet, this does not prevent WikiFX from claiming that the brokerage has only been providing its services for 1-2 years only, instead of the factual 16 years of operations.
We can long discuss the reasons that lie behind such selectivity of WikiFX but this random example clearly shows that any brokerage that provides access to non-forex derivatives trading or dares to suggest custom-developed software to its traders is in danger of receiving a negative review at WikiFX regardless of the factual reliability and regulations.

What lies beneath WikiFX selectivity?

WikiFX claims to have a team of professionals that are all involved in objective appraisal of broker’s services, licenses and used software. The methods used by these professionals remain unrevealed and as we see from the above comparison two similarly reliable brokerages can get any score from 1.0 and up to 10.0 at WikiFX, no matter what regulations they’ve got, for how long they’ve been in the business and what kind of software they use.
This is difficult to say what lies behind such selectivity with 100% confidence. The first thing that comes to mind is that WikiFX might be affiliated with some brokers. The hypothesis gets even more realistic if we try to understand who sponsors WikiFX.
There are no transparent built-in ads neither on the web-version of the website nor in its applications. There are no paid subscriptions for access to the database. This means that users sponsor the service with neither their attention to ads nor directly. Being the non-charity and non-governmental organization WikiFX can’t be sponsored with donations or a government. The only option that we have left is that brokers sponsor this ranking system directly, which automatically makes the whole system non-reliable and highly biased.
The only transparent method that we know WikiFX uses to collect money is sponsorship fees they collect from their offline events participants. Let’s have a look at the exhibitors of the recent WikiFX Expo in Thailand.
WikiFX Expo Exhibitors

  • TLC is a non-regulated investment platform that was founded in 2019
  • Samtrade FX is not regulated by any of the agencies that WikiFX itself lists as reliable
  • Forex4you is not regulated by any of the agencies that WikiFX itself lists as reliable
  • B2 Broker is a non-regulated broker
  • XDL FX is a non-regulated broker
  • VAT FX is a non-regulated broker
    Six out of sixteen WikiFX recent expo exhibitors do not have proper legal status according to the “standards” of WikiFX itself. This fact does not prevent them from promoting the services of these companies at their offline events. This conspicuous fact tells a lot about the attitude of WikiFX to common traders looking for reliable partners. Reputation is nothing but a sale item for this brokers’ ranking system.

Murky & Murkier

So far we’ve only discussed the facts that anyone can check himself using free tools and sources.
It was not that difficult to discover that WikiFX uses non-transparent standards for brokers’ appraisal. It ignores the specifics of some brokerages lowering their scores due to non-standard derivatives they offer to trade or custom trading software. It also promotes non-regulated and non-licensed brokerages, which is 100% against the declared WikiFX values and mission.
The rumors are that this company was also noticed blackmailing brokers with the purpose of making them pay for better reviews at WikiFX. There are also some signs that indicate suspicious promotion of WikiFX platform through social media and Quora. Some of the WikiFX positive reviews also look highly suspicious. All of the above is a matter of further investigation.
Nevertheless, thousands of users keep relying on the information provided by this scam ranking system. It may even look like all these users are satisfied. WikiFX has got 4.5 starts at Google Play, which sounds good enough. However, positive WikiFX reviews use similar semantics and are also highly suspicious. Despite the high average grade, Google Play finds the following messages to be most relevant and brings them to the top of WikiFX reviews:
Google Play most relevant WikiFX reviews

https://preview.redd.it/kftutvcl44l51.png?width=532&format=png&auto=webp&s=1ccb74ee156388285a2fab711dd604945c04377c

You’ve got the facts now and it’s time to make your own conclusions.

submitted by WorriedXVanilla to u/WorriedXVanilla [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Wall Street Week Ahead for the trading week beginning September 23rd, 2019

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 23rd, 2019.

Week ahead: As stocks struggle to break to new highs, markets could be swayed by Fed speakers, trade - (Source)

Developments in U.S.-Chinese trade talks and the comments from a host of Fed speakers could be important for markets in the week ahead, as stocks struggle to regain highs.
The Fed in the past week cut interest rates for the second time in two months, but the latest forecasts of Fed officials showed just how divided they are on the need for future rate cuts. Five wanted deeper cuts, five didn’t want any cuts and another seven were happy with the Fed’s action.
“The market seems like it’s pretty jumpy based on what the say. i think it would flip back and forth depending on how the headlines come out,” said Tom Simons, money market economist at Jefferies. Simons said the focus will also be on the Fed’s operations in the short-term funding market, after turbulence in the overnight market in the past week temporarily sent some overnight rates sharply higher.
There are nearly a dozen Fed speakers on the calendar in the coming week, but Fed Chairman Jerome Powell is not scheduled to speak.
Trade developments could continue to cause volatility in markets. Reports Friday that Chinese agriculture officials canceled visits to farms in Montana and Nebraska sent stocks lower, for fear it signaled that talks were not making progress.
Stocks in the past week were lower, with the S&P off about 0.5% to 2,992. The index had been around 1% away from its all-time high for a few weeks.
“Tech that has been out of play and is acting faulty. it’s now turning into a headwind, and that could cause a problem for the bulls,” said Scott Redler, partner with T3Live.com. “I haven’t seen so many mixed signals in the market in quite some time.”
“It’s hard for the market to make new highs without tech. At best, it’s concerning when you see key names, like Amazon and Netflix, not just failing to lead but faltering,” he said. Netflix was down more than 8% for the week, and Amazon was off 2.6%.
Redler said it was a concern that shares of market leader Microsoft gave up its initial gains and turned negative, soon after it announced a buyback and raised its dividend. “Strength was sold instead of embraced,” he said. “That was good news. What are they going to do when bad news happens?”
Following the attacks on Saudi Aramco last week, the United Nations General Assembly in New York and meetings around it take on more importance for markets. U.S. and Saudi Arabian officials have said Iran was behind the attack, which knocked a significant amount of Saudi oil production off line. Iran has denied involvement, and Houthi rebels in Yemen have claimed responsibility.
Iran’ President Hassan Rouhani has been given a visa to travel to New York for the UN. Before the attack on Saudi Arabia last week, President Donald Trump had suggested he would speak to Rouhani but there seems little chance of that now. Oil have been highly volatile, with Brent crude futures up 7% since the attack as Saudi Arabia sought to assure markets that it would be able to bring its operations back on line.
There is some economic data that will also be important to markets. There is manufacturing PMI Monday, important after ISM manufacturing data showed a contraction in August. Durable goods will also be important on Friday, as will personal consumption data, which includes the Fed’s preferred inflation indicator, the core PCE deflator.
“What Powell said in his remarks was inflation was below his target,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “But even the core PCE deflator is expected to be 1.8, a new high for the year.” The Fed’s target inflation rate is 2%, and other inflation measures have been above that, including core CPI.
The Fed will also be in focus after problems in the overnight funding market, used by banks in need of short term cash. Rates spiked for repo, or repurchase agreements, in a chaotic two-day period Monday and Tuesday. The Fed’s target fed funds rate also moved above its target range, in an unusual move.
The market has since calmed after the Fed carried out open market operations to add liquidity to the market. On Friday, it announced three 14-day operations involving $30 billion as well as continued overnight operations of at least $75 billion each.
“I think the Fed has absolute control over short term rates. It was caught sleeping at the wheel,” said Chandler.
Powell said the Fed would monitor the market and take whatever action is needed. The market is considered the basic plumbing for financial markets, where banks who have a short-term need for cash come to fund themselves. The odd spike in rates was viewed as the result of a cash crunch, not a credit crisis.
Bond market pros have been concerned that the Fed would again see strains in the market at month end, when there’s more activity in the overnight funding market.
“It gets you further past quarter end,” said Jon Hill, rate strategist at BMO. “A 14-day pushes them further into October. I think nerves will have calmed. The fact you’ll see fed funds print clearly in the range will reassert confidence. These operations will serve as a reminder that the Fed can have absolute control the front end if and when it wants to. This is a good thing.”
The funds rate was at 1.90% Thursday, within the target rate range of 1.75% to 2%.
“They’re removing any doubt of their ability to take control of fed funds in the modern framework. They just announced $165 billion over quarter-end , and we may go bigger. They haven’t done a repo injection in 10 years,” said Hill.

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

S&P 500 down 23 of 29 during week after September options expiration, average loss 0.95%

The week after September options expiration week, next week, has a dreadful history of declines especially since 1990. The week after September options expiration week has been a nearly constant source of pain with only a few meaningful exceptions over the past 29 years. Substantial and across the board gains have occurred just three times: 1998, 2001, 2010 and 2016 while many more weeks were hit with sizable losses.
Full stats are in the following sea-of-red table. Average losses since 1990 are even worse; DJIA –1.02%, S&P 500 –0.95%, NASDAQ –0.90% and a sizable –1.38% for Russell 2000. End-of-Q3 portfolio restructuring is the most likely explanation for this trend as managers trim summer losers and position for the fourth quarter.
(CLICK HERE FOR THE CHART!)

October Challenging in Pre-Election Years

October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in point and percentage terms. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
(CLICK HERE FOR THE CHART!)
Pre-election year Octobers are ranked second from last for DJIA, S&P 500 and NASDAQ while Russell 2000 is dead last with an average loss of 1.9%. Eliminating gruesome 1987 from the calculation provides only a moderate amount of relief. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for depressed technology and small-cap shares.

Where’s That September Volatility?

September is historically known as one of the worst for stocks, yet in 2019 the S&P 500 Index is up 2.7% so far amid a sea of scary headlines. Incredibly, the S&P 500 has wavered less than 0.1% from its previous close 6 of the past 10 trading sessions, as it consolidates just beneath all-time highs.
“Over the past two weeks we’ve had the European Central Bank meeting, the Federal Reserve meeting, higher inflation, a historic jump in crude oil, Middle East turmoil, trouble in the repo market, and even multiple NFL quarterbacks sustaining major injuries,” said LPL Financial Senior Market Strategist Ryan Detrick. “Yet, with all of those scary headlines, stocks are actually in the midst of one of the least volatile two-week stretches we’ve seen in years.”
We are quite encouraged by the overall change in market tone we’ve heard recently, with more cyclical names taking the baton and leading, but with the S&P 500 up near our fair value target of 3,000, we would be on the lookout for this sea of tranquility to get rougher at any time. In fact, according to historical calendars, we may need to be on high guard for the second half of September.
As shown in the LPL Chart of the Day, The Second Half of September Can Be Tricky For Stocks, later in the month of September is when we’ve seen seasonal weakness. Things have been going well for equities in the face of some worrisome headlines, but don’t get complacent, as the calendar could be one of the biggest near-term risks.
(CLICK HERE FOR THE CHART!)

The Fed Hits It Down The Middle

“History does not repeat itself, but it rhymes.” Mark Twain
As expected, the Federal Reserve’s (Fed) policy committee cut its policy rate by 25 basis points (.25%) to a target range of 1.75%–2%. This comes on the heels of the first rate cut in more than 10 years at the end of July. This cut is somewhat more controversial, however, because the overall U.S. economic data has been improving, and there’s been a tick higher in inflation.
One of the most important questions heading into this meeting was how many voting Fed members would support additional rate cuts. There were two dissenting voting members at the July rate cut, and once again there were two votes opposed to today’s cut—but unlike last time, there was also one dissenter who favored a larger 50 basis point (.50%) cut. Materials in the economic projections indicated 10 of 17 participants (which includes non-voting members) did not believe additional cuts would be needed over the remainder of the year, although evolving economic conditions could certainly lead to a shift.
As the quote from Mark Twain suggests, by looking back at history we can potentially find clues as to what might happen in the future.
Looking back at the previous two recessions (2001 and 2008), the Fed cut rates 50 basis points (.50%) to kick off the new cycle of rate cuts. We looked back at what the Fed said at the time, and policymakers didn’t foresee a recession; the larger .50% cut might have been their way of showing how worried they really were at the time. In other words, maybe the Fed knew there potentially was trouble under the surface.
Compare this with three consecutive 25 basis point (.25%) cuts in the 1995/1996 and 1998 rate cut cycles, which led to continued equity gains and avoided recessions. Given we foresee one more cut this year, could it be another three cuts of 25 basis points (.25%) and then an economic acceleration?
“Here’s the catch. When the first two cuts in a new cycle of rate cuts are only 25 basis points, this could be the Fed’s way of truly viewing the cuts as insurance,” explained LPL Financial Senior Market Strategist Ryan Detrick. “In fact, the past five cycles of cuts that started with two 25 basis point cuts saw the S&P 500 Index move higher 6 and 12 months later every single time.”
As shown in the LPL Chart of the Day, Stocks Have Historically Done Well If The First Two Fed Rate Cuts Are 25 Basis Points, the S&P 500 was up an average of 9.7% six months after the second of two 25 basis point cuts to kick off a new cycle of rate cuts. Going out a year, the S&P 500 had gained a very impressive average of 16.7%.
(CLICK HERE FOR THE CHART!)

Strong Start for September, but Second Half Could Bring Trouble

As of Friday’s close the market is well above historical average performance in September. DJIA was up nearly 3.1%, S&P 500 was up 2.8%, NASDAQ and Russell 1000 were up 2.7% while Russell 2000 was up 5.6%. Small-caps outperforming large-caps recently is not unusual and they did so again today. However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 29 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

Broader Transports Still Outperforming YTD

With shares of FedEx (FDX) on pace for their second worst earnings reaction day since at least 2001, the Dow Transports, an index in which FDX has a weighting of over 8% (after today's decline), is down close to 2%. Historically, the Transports have been considered a leading indicator of the economy, so the weakness in FDX, and by extension, the Dow Transports, is resulting in heightened concerns over the state of the economy. Looking at the chart below, the picture for the Transports doesn't look pretty. The timing of today's decline couldn't have been worse as it came just as the Transports were attempting to break above the highs from July, but now it just looks like the second lower high this year. Following today's declines, the Dow Transports are up 14.7% YTD which is about five percentage points behind the performance of the S&P 500.
(CLICK HERE FOR THE CHART!)
Given the changes in the US economy over time, we've been skeptical of the continued predictive ability of the Transports, but even putting that aside for a moment, a broader look at Transports shows a less pessimistic picture. The chart below shows the performance of the stocks in the S&P 1500 index on an equal-weighted basis so far in 2019. By this measure, today's decline comes after the index made a higher high, and while it's back below those former highs today, with a gain of 20.5% YTD, this broader look at transports is still outperforming the S&P 500 on a YTD basis. It may not be a great picture for this group of transport stocks, but it doesn't really look bad either.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 20th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 09.22.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $NIO
  • $AZO
  • $KMX
  • $NKE
  • $BB
  • $RAD
  • $CMD
  • $ACN
  • $UXIN
  • $JBL
  • $INFO
  • $CAG
  • $DAVA
  • $MANU
  • $SNX
  • $FDS
  • $KBH
  • $UEPS
  • $ATU
  • $CTAS
  • $MTN
  • $AGTC
  • $WOR
  • $PIR
  • $ISR
  • $DLNG
  • $CAMP
  • $AIR
  • $FUL
  • $PRGS
  • $CMTL
  • $DYNT
  • $RBZ
(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 9.23.19 Before Market Open:

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

Monday 9.23.19 After Market Close:

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

Tuesday 9.24.19 Before Market Open:

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

Tuesday 9.24.19 After Market Close:

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

Wednesday 9.25.19 Before Market Open:

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

Wednesday 9.25.19 After Market Close:

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

Thursday 9.26.19 Before Market Open:

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

Thursday 9.26.19 After Market Close:

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

Friday 9.27.19 Before Market Open:

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

Friday 9.27.19 After Market Close:

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

Micron Technology, Inc. $49.16

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.43 per share on revenue of $4.51 billion and the Earnings Whisper ® number is $0.49 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for earnings of $0.38 to $0.52 per share. Consensus estimates are for earnings to decline year-over-year by 87.92% with revenue decreasing by 46.56%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 37.1% from its open following the earnings release to be 23.2% above its 200 day moving average of $39.90. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 12,865 contracts of the $50.00 put expiring on Friday, September 27, 2019. Option traders are pricing in a 7.5% move on earnings and the stock has averaged a 7.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

NIO Inc. $3.04

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, September 24, 2019. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for revenue of $169.00 million to $193.00 million. Short interest has increased by 25.8% since the company's last earnings release while the stock has drifted lower by 26.2% from its open following the earnings release to be 39.6% below its 200 day moving average of $5.03. On Wednesday, September 4, 2019 there was some notable buying of 40,590 contracts of the $1.50 put expiring on Friday, November 15, 2019. Option traders are pricing in a 17.1% move on earnings and the stock has averaged a 9.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AutoZone, Inc. -

AutoZone, Inc. (AZO) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $21.64 per share on revenue of $3.94 billion and the Earnings Whisper ® number is $21.98 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.72% with revenue increasing by 10.71%. Short interest has increased by 23.5% since the company's last earnings release while the stock has drifted higher by 15.1% from its open following the earnings release to be 15.6% above its 200 day moving average of $1,003.22. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

CarMax, Inc. $84.63

CarMax, Inc. (KMX) is confirmed to report earnings at approximately 7:35 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.03 billion and the Earnings Whisper ® number is $1.38 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.26% with revenue increasing by 5.54%. Short interest has increased by 0.7% since the company's last earnings release while the stock has drifted lower by 3.6% from its open following the earnings release to be 14.9% above its 200 day moving average of $73.63. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, September 6, 2019 there was some notable buying of 1,023 contracts of the $92.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nike Inc $86.68

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $0.71 per share on revenue of $10.45 billion and the Earnings Whisper ® number is $0.76 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.97% with revenue increasing by 5.05%. Short interest has increased by 0.4% since the company's last earnings release while the stock has drifted higher by 3.2% from its open following the earnings release to be 5.1% above its 200 day moving average of $82.50. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, September 16, 2019 there was some notable buying of 4,646 contracts of the $84.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $7.54

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus estimate is for a loss of $0.01 per share and the Earnings Whisper ® number is $0.01 per share. Investor sentiment going into the company's earnings release has 32% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 150.00% with revenue increasing by 375.71%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 9.2% from its open following the earnings release to be 6.9% below its 200 day moving average of $8.10. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, September 17, 2019 there was some notable buying of 2,012 contracts of the $8.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Rite Aid Corp. $7.40

Rite Aid Corp. (RAD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.08 per share on revenue of $5.42 billion and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 50% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 900.00% with revenue decreasing by 0.03%. Short interest has increased by 22.2% since the company's last earnings release while the stock has drifted higher by 5.1% from its open following the earnings release to be 36.4% below its 200 day moving average of $11.64. On Wednesday, September 18, 2019 there was some notable buying of 580 contracts of the $7.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $85.02

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 8:00 AM ET on Monday, September 23, 2019. The consensus earnings estimate is $0.61 per share on revenue of $238.60 million and the Earnings Whisper ® number is $0.61 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.61% with revenue increasing by 4.26%. Short interest has increased by 47.7% since the company's last earnings release while the stock has drifted higher by 27.5% from its open following the earnings release to be 10.7% above its 200 day moving average of $76.78. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 571 contracts of the $90.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 6.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Accenture Ltd. $193.09

Accenture Ltd. (ACN) is confirmed to report earnings at approximately 6:50 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $1.71 per share on revenue of $11.08 billion and the Earnings Whisper ® number is $1.74 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.23% with revenue increasing by 4.11%. Short interest has increased by 23.3% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 11.3% above its 200 day moving average of $173.47. Overall earnings estimates have been unchanged since the company's last earnings release. On Friday, September 13, 2019 there was some notable buying of 1,279 contracts of the $115.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Uxin Limited $3.26

Uxin Limited (UXIN) is confirmed to report earnings before the market opens on Monday, September 23, 2019. The consensus estimate is for a loss of $0.09 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for revenue of $130.00 million to $137.00 million. Consensus estimates are for earnings to decline year-over-year by 200.00% with revenue increasing by 892.95%. The stock has drifted higher by 44.9% from its open following the earnings release to be 4.5% below its 200 day moving average of $3.41. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 509 contracts of the $4.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 24.5% move on earnings and the stock has averaged a 10.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

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