Strategy: 10 - ROB BOOKER

$12,100 and 278 pips in 10 days. #TBT to the BoE interest rate decision that was announced today. Very many traders struggle with technical analysis strategies. If you want to make serious money in Forex, you'll need to follow fundamental trading strategies at one point.

$12,100 and 278 pips in 10 days. #TBT to the BoE interest rate decision that was announced today. Very many traders struggle with technical analysis strategies. If you want to make serious money in Forex, you'll need to follow fundamental trading strategies at one point. submitted by hotboyswerve to Forex [link] [comments]

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex submitted by Rufflenator to 3bitcoins [link] [comments]

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex submitted by Hellterskelt to bitcoin_is_dead [link] [comments]

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex

Forex 10 Pips – A Very Simple Strategy For Gaining 10 Pips a Day Trading Forex submitted by ososru to Bitcoin4free [link] [comments]

forex scalping strategy - the 10 pips scalping strategy for currency traders ✊

forex scalping strategy - the 10 pips scalping strategy for currency traders ✊ submitted by TradingStrategys to u/TradingStrategys [link] [comments]

Read Carefully Experts!

This may appear to be a noob question, but read on carefully and please try and understand the point I'm trying to make! I'm hoping your answers might be helpful to people both learning Forex and looking to get into it, so please don't hate on me for this post.
I am relatively new to FX and have learned about break and retest strategies, MACD crossovers and stop losses below structure and risk to reward ratios (usually going for 1:1 or 2/3:1) and so on. I say this only so you know I've a general (very basic) understanding of charts, price action etc.
I definitely do NOT expect to step into the markets and instantly win a majority of my trades, however, to illustrate my thoughts please note the example below.
If I am winning 2% on a winning trade and losing 1% on a losing trade (2:1 reward risk per trade), a strategy that wins just 50% of the time trading once per trading day would be +10% each month. (10 days of -1%, 10 days of +2%). +10% is a HUGE increase in accounts and if a $1000 account was +10% per month for 12 months the end of year balance would be over $3138.43 or a 213.84% return!
This leads me to a theory that almost NO system can be returning 50% on a 2:1 reward risk, even with careful trade selection (let's say I monitor the 7 major pairs, gold and GBP/JPY as I do and pick one entry a day) Am I wrong? I appreciate it is a hypothetical example designed to make a point, but my thoughts are if you monitored lots of pairs and took only ONE entry a day, we might expect to win 50% of the time.
Let's expand this further. I have seen numerous algos (can't name them but looking like they win at LEAST 50% of the time) which tempt me because they appear to indicate moves I could jump on and where I could pull a bunch of pips out of the market. However, there surely cannot be a holy grail or are people making this type of insane return? It cannot be as easy as buying an algo, signing up to $300,000 worth of FTMO funding and earning 10% per month for an easy $21,000 per month income with profit share. Or maybe it is and I'm just cynical?! I end up getting tempted by courses etc. in the hope that if I spent £400 on a good course it would open the door to what I need to do, but I'm nervous this is just another huge mistake.
I genuinely would love to trade Forex for a living. Really I would. I hope it's possible and I hope to learn a strategy I can wash, rinse and repeat. I love watching videos and live streamers who seem to have a great understanding of what's going on but I wonder if it's really possible. It seems a million miles away but I'm determined to keep learning and trading.
Reading your considered thoughts to this post would be helpful for me and I'm sure others and thank you for reading it.
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Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

[TRADE] Forex / Stock / Trading strategy

I'm always trading, flexible and willing to negotiate a deal. If you want something I have but don't have anything to trade, feel free to message me directly, we can work something out! :).
I have THOUSANDS more items that are not listed, if you're looking for something that is not on the list, I'm probably sorting it out, just ask me because I probably have it either way. My Lists gets updated and new items are added DAILY.
Last Edited 10/07/20
What I have to offer: 
Trading strategy:
Forex
Stocks
submitted by ClaudWithrow to Coursebay [link] [comments]

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submitted by Rudenko to PriceAction_FxSignals [link] [comments]

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

Forex Live Signals Telegram (GBPAUD) 💯✅📢

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FOREX SIGNALS GBP AUD
INSIDER SIGNALS ALERT🔔
📡GBP AUD
🔹BUY 1.76007 (NOW)
✅TP1 1.7678 (close 1/2 lot. Move SL to entry)
✅TP2 1.7719 (take some partial)
✅TP3 1.7792 (close trade)
❌SL 1.76011
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submitted by Rudenko to PriceAction_FxSignals [link] [comments]

Forex Live Signals Telegram (GBPAUD) 💯✅📢

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FOREX SIGNALS GBPAUD
🔔INSIDER SIGNALS ALERT🔔
📡GBP AUD
🔹BUY 1.80201 (NOW)
✅TP1 1.8063 (close 1/2 lot. Move SL to entry)
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submitted by Rudenko to PriceAction_FxSignals [link] [comments]

Forex Live Signals Telegram (CADJPY) 💯✅📢

Forex Live Signals Telegram (CADJPY) 💯✅📢

FOREX SIGNALS
🔔INSIDER SIGNALS ALERT🔔
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submitted by Rudenko to PriceAction_FxSignals [link] [comments]

Forex Live Signals Telegram (EURUSD) 💯✅📢

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✅TP1 1.1868 (close 1/2 lot. Move SL to entry)
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I also offer one on one coaching via skype. I will teach the same strategy I use for predicting our 85% winning rate signals (perfect for beginners and pro) and I will share the indicators to spot profitable trades. For more information, contact me on Telegram 👉🏼 https://t.me/pafxss
submitted by Rudenko to PriceAction_FxSignals [link] [comments]

Forex Live Signals Telegram (CHFJPY) 💯✅📢

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FOREX SIGNAL CHF JPY
🔔INSIDER SIGNALS ALERT🔔
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🔹SELL 117.070 (NOW)
✅TP1 116.86 (close 1/2 lot. Move SL to entry)
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I also offer one on one coaching via skype. I will teach the same strategy I use for predicting our 85% winning rate signals (perfect for beginners and pro) and I will share the indicators to spot profitable trades. For more information, contact me on Telegram 👉🏼 https://t.me/pafxss
submitted by Rudenko to PriceAction_FxSignals [link] [comments]

Can someone review my backtesting results so far and tell me what else i need to calculate?

Strategy details:50 SMA STRAT: When price is ABOVE the SMA look for BUYS. When price is BELOW the SMA look for SELLS. Trend lines will be placed and once price has broken the trendline I will enter on the retest (for the second backtest i did the breakouts) and look at the SMA for the last confirmation on the direction of price. I will only be looking for trading opportunities that offer 1:1.
CONFIRMATION CHECKLIST:
Is it a clear trend on ALL my main timeframes? (H1, H4, Daily)
Is price about to break/already broken/retesting?
Is price above or below the SMA?
Can I get at least 1:1 Risk To Reward?
Is a news event with MAJOR IMPACT about to happen? https://www.forexfactory.com/calendar
Calculate size before entering trade https://www.myfxbook.com/forex-calculators/position-size

Pair: GBP/USD
RETEST BACKTEST:
41 TRADES IN TOTAL

19 Winning (19/Total Number Of Trades 41=46% Win Rate)
Trade 1: 27 pips
Trade 2: 36 pips
Trade 3: 39 pips
Trade 4: 30 pips
Trade 5: 40 pips
Trade 6: 35 pips
Trade 7: 34 pips
Trade 8: 35 pips
Trade 9: 30 pips
Trade 10: 35 pips
Trade 11: 35 pips
Trade 12: 30 pips
Trade 13: 30 pips
Trade 14: 30 pips
Trade 15: 20 pips
Trade 16: 22 pips
Trade 17: 22 pips
Trade 18: 30 pips
Trade 19: 62 pips

TOTAL=622 Pips
£62.20 profit on 0.01 lots


20 Losing
Trade 1: 30 pips
Trade 2: 27 pips
Trade 3: 34 pips
Trade 4: 30 pips
Trade 5: 30 pips
Trade 6: 34 pips
Trade 7: 30 pips
Trade 8: 30 pips
Trade 9: 30 pips
Trade 10: 35 pips
Trade 11: 30 pips
Trade 12: 30 pips
Trade 13: 25 pips
Trade 14: 25 pips
Trade 15: 25 pips
Trade 16: 20 pips
Trade 17: 30 pips
Trade 18: 25 pips
Trade 19: 30 pips
Trade 20: 29 pips

TOTAL=579 pips
£57.90 loss on 0.01 lots

2 Breakeven

£62.20 - £57.90 = £4.30
BREAKOUT BACKTEST:

TOTAL TRADES 54

24 Winning (24/55 total=43% Win Rate)
Trade 1: 20 pips
Trade 2: 30 pips
Trade 3: 5 pips
Trade 4: 30 pips
Trade 5: 10 pips
Trade 6: 30 pips
Trade 7: 4 pips
Trade 8: 30 pips
Trade 9: 30 pips
Trade 10: 30 pips
Trade 11: 6 pips
Trade 12: 30 pips
Trade 13: 30 pips
Trade 14: 30 pips
Trade 15: 30 pips
Trade 16: 30 pips
Trade 17: 30 pips
Trade 18: 25 pips
Trade 19: 30 pips
Trade 20: 30 pips
Trade 21: 30 pips
Trade 22: 30 pips
Trade 23: 30 pips
Trade 24: 30 pips
Trade 5: 6 pips

TOTAL PIPS=610 pips
£61

24 Losing
Trade 1: 14 pips
Trade 2: 30 pips
Trade 3: 30 pips
Trade 4: 14 pips
Trade 5: 14 pips
Trade 6: 30 pips
Trade 7: 30 pips
Trade 8: 25 pips
Trade 9: 30 pips
Trade 10: 5 pips
Trade 11: 30 pips
Trade 12: 30 pips
Trade 13: 5 pips
Trade 14: 30 pips
Trade 15: 25 pips
Trade 16: 35 pips
Trade 17: 15 pips
Trade 18: 30 pips
Trade 19: 18 pips
Trade 20: 15 pips
Trade 21: 18 pips
Trade 22: 10 pips
Trade 23: 30 pips
Trade 24: 30 pips

TOTAL=543 pips
£54.30
Breakeven 5

£61-£54.30=£7.70

Edit: In the second backtest you'll notice for some trades it was like 4 pips, 5 pips, etc. With those trades i either exited early to avoid the full loss.
submitted by YH-ITS-KESH to Forex [link] [comments]

Leaving this thread

I joined this thread a few weeks ago. I thought it was a place where real traders hangout and actually learn from each other. Learning forex is not just strategy and psychology. I've learnt people here got a fixed state of mind about risk management and money management. Whereas I have been consistent with 10%, I have friends who trade 20%, 30% and as little as 5%.
Some who take the whole move and others who take whatever ago.
I would ask why, and they all reply,"My risk management."
What could be a learning moment always turns into an exchange of nasty conversation. My very memorable "nemesis" who told me I need to be saved, I'm too far gone, etc, also bragged he has been trading profitably for 2 years. He recently posted how he is depressed about trading and is actually afraid of the markets. hasn't trade for months now and when he did, it was only for 5 months.
Most of them are computer science and Finance students. They are quick to tell every newbie how they need such background to be succesful taders. Here's the kicker. Only one trader in my circle has a C.S background. All the others have A Bachelors of Obsession and Perseverance. Of course there are very few cool finance and CS students here. No beef.
At the end of the day, I'm only human. And these conversation, at the very least trigger a conversation. At the most annoys me. I know scalpers and swingers and I treat them equally. at the end of the day they are all securing the bag. I'm nice to them, so at the end of the day they drop me a nugget.
  1. The dude who turns 200 to 250k in under a month. "Dude, Icmarkets is great. but after opening with 200$, split that into ten accounts. and if you go bust then you have only lost 20."
  2. A 100 lots guy,"if you loose 3 trades in a row, go back to demo."
  3. my homeboy rockstar trader, I would call him up like yo I just had the biggest week ever, I.m 50% up. and he's like, withdraw and go treat yourself. It took me 2 years before my first withdrawal. you've made it in a year. And, I'm like," but I'm trynna compound.."
  4. And he's like,"At the very least open an extra account."
These look like simple remarks but mix em with your strategy and they take you a step further, control greed, give you a chance to stop and refine your strategy, Give you a chance to come back after a blown account, I could go on and on. there is so much I've learnt even from mediocre traders with flashy lifestyle on IG.
Now I just mentioned a guy who trades the 1 min and make 80-100+% per trade. instead of someone asking me how's that possible? Have you seen his Myfxbook? No He went on about how that's pure bullshit. Now my personality trait, I would wanna answer him that I have actually seen his myfxbook and that is how i actually keep track of each %age.
So basically this thread has consumed my time online and offline and in some way affected my trading. I remember closing a trade at 10 pips profit just so my account would be a solid 30 something %, when I was positive that the trade had higher chances of reaching 45 pips, I just didnt wanna risk the propbable chance of it reversing to my SL. so that i could sshot and post it to the few haters and non believers that I had earned in this thread. Now look at this, With the cute sshot I was 30%+ up, but without it and the haters, I would've been about 70% up that.
Whereas I had myself and my few trading friends who I actually reach out to ask questions. now I had a bunch of people to convince that there actually is money in forex. Even when I'm not online I find myself thinking about this thread. Wanting to come online to answer a few question or just read some posts.
I have caught myself checking this page first before starting my backtesting. we all know how a quick check can turn into minutes on the internet. I'd come online and see a "pro trader" telling a newbie how he needs a Finance or C.S background to succeed in this field, if not just foget about it. And these replies are always delivered with a touch of arrogance that makes me go like wtf?! and i would jump in and reply.
More power to those who can manage being apart of a toxic group. I have managed to help a few who reached out to me from this group but that's that. As for me I can manage the negative energy and trade and run a super productive life.
Anyways, I'm one strike away from a perma ban for posting profits. So...yeah
submitted by Gottagethard to Forex [link] [comments]

I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions

Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have.
Bonus for you guys
Here are the columns in my trading journal and various explanations where appropriate:
Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade
that you opened and closed just one trade number. For example if you buy EUUSD today and
sell it 50 pips later in the day and close out the trade, then that is just one trade for recording
purposes. I do not create a second trade number to describe the exit. Both the entry and exit are
under the same trade number.


Ticket Number – This is ticket number / order ID number that your broker gives you for the trade
on your platform.


Day of the Week – This would be simply the day of the week the trade was initiated


Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are
trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures
contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If
you are trading a stock, put in the ticker symbol. Etc.


Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to
open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a
trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in
their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for
writing in long/short, since that is the more professional way to say it. I like to use the lingo
where possible.


Order Type – Market or Limit – When you entered the trade was it a market order or limit order?
Some people can enter a trade using a combination of market and limit orders. If you enter a
trade for $1 million half of which was market order and the other half was limit order, then you
can write in $500,000 Market, $500,000 Limit as a bullet points.


Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you
bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5
gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write
in 1,000 shares. Etc.


Entry Price – The entry price you received entering your opening position. If you entered at
multiple prices, then you can either write in all the different fills you got, or specify the average
price received.


Entry Date – Date that you entered the position. For example January 23, 2012. Or you can
write in 1/23/12

.
Entry Time – Time that you opened the position. If it is multiple positions, then you can specify
each time for each various fill, or you can specify the time range. For example if you got
$100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and
another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00
– 3:30 AM EST.


Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in
pips. If you executed a market order, how many pips did you pay in spread.


Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you
write in the pips. If you are trading the S&P futures contract, then write in the number of points.
If you are trading a stock, then write in how many cents or dollars your stop is away from your
entry price.


% Risk – If you were to get stopped out of the trade, how much % loss of your equity is that?
This is where you input your risk per trade expressed in % terms if you use such a position sizing
method. If you risked 0.50% of your account on the trade, then put in 0.50%


Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For
example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000
dollars


Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what
the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you
expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is
an interesting column because you can look at it after the trade is finished and see how close you
were or how far removed from reality your initial projections were.


Potential Win Rate – This is another column that I only sometimes fill in. You write in what you
believe the potential win rate of this trade is. If you were to place this trade 10 times in a row,
how many times do you think you would win? I write it in as percentage terms. If you believe
the trade has a 50% chance to win, then write in 50%.


Type of Inefficiency – This is where you write in what type of inefficiency you are looking to
capture. I use the word inefficiency here. I believe it is important to think of trading setups as
inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market
being mispriced, then you will think about the reasons why the market is mispriced and why such
market expectations for example are out of alignment with reality. In this category I could write
in different types of trades such as fading the stops, different types of news trades, expecting
stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do
not write in all the reasons why I took the trade in this column. I do that in another column. This
column is just to broadly define what type of inefficiency you are looking to capture.


Chart Time Frame – I do not use this since all my order flow based trades have nothing to do
with what chart time frame I look at. However, if you are a chartist or price action trader, then
you may want to include what chart time frame you found whatever pattern you were looking at.


Exit Price – When you exit your trade, you enter the price you received here.


Exit Date – The date you exited your trade.


Exit Time – The time you exited your trade.


Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will
usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours
amount. Anything past that and I write it as days or weeks as appropriate, etc.
Pips the trade went against you before turning into a winner – If you have a trade that suffered a
draw down, but did not stop you out and eventually was a winner, then you write it how many
pips the trade went against you before it turned into a profitable trade. The reason you have this
column is to compare it to your stop loss size and see any patterns that emerge. If you notice that
a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out
to be a profitable trade, then you can further refine your entry strategy to get in a better price.


Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you
suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop
loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips
slippage. In other words you lost 2 pips as slippage. This is important for a few different
reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they
do, perhaps you can get better stop loss placement, or use it as useful information to find new
inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you
are trading the same system with different brokers, then you can record the slippage from each
one and see which has the lowest slippage so you can choose them.


Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you
bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you
bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at
1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and
you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for
profit and red for loss.


Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever
currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and
sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it
rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green
for profit and red for loss.


Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade
made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I
color code the box background to green for profit and red for loss.


Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk
did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you
risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went
for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss
is greater than the amount you risked, then I do write it in this column. For example lets say you
risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would
write it in as a -3R.


What Type of trading loss if the trade lost money? – This is where I describe in very general
terms a trade if it lost money. For example, if I lost money on a trade and the reason was because
I was buying in a market that was making fresh lows, but after I bought the market kept on going
lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend
and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy
on a retracement, but the market makes a deeper retracement or trend change, then I write in
“tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various
ways I use are:
• Trying to pick a bottom
• Trying to pick a top
• Shorting a bottom
• Buying a top
• Shorting a ret and failed
• Wrongly predicted news
• Bought a ret and failed
• Fade a resistance level
• Buy a support level
• Tried to buy a breakout higher
• Tried to short a breakout lower
I find this category very interesting and important because when performing trade journal
analysis, you can notice trends when you have winners or losing trades. For example if I notice a
string of losing trades and I notice that all of them occur in the same market, and all of them have
as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five
times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of
losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the
market continued to go higher after I was stopped out, then I realize that I was correct in the
move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of
trying to buy a fresh breakout.


That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or
distractions on the day I placed the trade. For example if you are dead tired and place a trade,
then write in that you were very tired. Or if you place a trade when there were five people
coming and out of your trading office or room in your house, then write that in. If you placed the
trade when the fire alarm was going off then write that in. Or if you place a trade without having
done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness
that threw you off your game.


That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you
placed your trade. If you had complete peace and quiet, write that in. If you completed all your
daily habits, then write that in. Etc. Whatever you believe was a possible strength during the
day.


How many Open Positions Total (including the one you just placed) – How many open trades do
you have after placing this one? If you have zero open trades and you just placed one, then the
total number of open positions would be one, so write in “1.” If you have on three open trades,
and you are placing a new current one, then the total number of open positions would be four, so
write in “4.” The reason you have this column in your trading journal is so that you can notice
trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a
lot of open positions at the same time? Do you have a winning streak when the number of open
positions is kept low? Or can you handle a lot of open positions at the same time?


Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips.
If you executed a market order, how many pips did you pay in spread.


Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in
dollars. If you executed a market order, how many dollars did you pay in spread.


Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips.


Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars.


Commission Cost – Here you write in the total commission cost that you incurred for getting in
and out of the trade. If you have a forex broker that is commission free and only gets
compensated through the spread, then you do not need this column.


Starting Balance – The starting account balance that you had prior to the placing of the trade


Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or
need to pay out interest depending on the rollover rates. Or if you bought a stock and got a
dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write
that in.


Ending Balance – The ending balance of your account after the trade is closed after taking into
account trade P&L, commission cost, and interest/swap.


Reasons for taking the trade – Here is where you go into much more detail about why you placed
the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking
behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10
bullet points.


What I Learned – No matter if the trade is a win or loss, write down what you believed you
learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it
can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or
loss.


What I learned after Long Term reflection, several days, weeks, or months – This is the very
interesting column. This is important because after you have a winning or losing trade, you will
not always know the true reasons why it happened. You have your immediate theories and
reasons which you include in the previous column. However, there are times when after several
days, weeks, or months, you find the true reason and proper market belief about why your trade
succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am
not saying that I am thinking about trades I placed ten months ago. I try to forget about them and
focus on the present moment. However, there will be trades where you have these nagging
questions about they failed or succeeded and you will only discover those reasons several days,
weeks, or months later. When you discover the reasons, you write them in this column.
submitted by Fox-The-Wise to Forex [link] [comments]

New Strategy?

I have created a new strategy that manages risks decently. If anyone sees any flaws please say so, I am still a beginner and want some feed back in this.
I do 3 different types of trades. Day long/overnight, hours, and session trades
Day long/overnight- pretty self explanatory Hours- over the course of 2-8 hours Session- Literally watch as the rates change
For Day long trades I put a lot size of 0.10% of my total balance and calculate a stop loss from the time of the trade to when I would lose 7.5% of my acct, this leaves a lot of time for the market to shift back in my favor if it does go the opposite way for a bit. I set notifications with the SwissForex app for every 100 pips that the trade goes in my favor (ex. 108.700, 108.800, 108.900) and as soon as the exchange rate goes even 5 pips into profit, I change the stop loss to slightly above breaking even, and change it every 100 pips. I set a notification as well for when it gets within 15 pips of my take profit number so I can change the number to higher and bring the stop loss number even close. (No more than 2 at a time)
For hours trades it is the same exact strategy as day long except the lot size is slightly bigger at 0.15% of my total balance, this gives it a little less time to sway back in your direction if you predict where it is going wrong. Other then that it is the exact same (No more than 2 at a time if there is a session trade going, if not 3)
For session trades you wont take your eyes off the trade and they are a lot shorter. I use a lot size of 0.25-0.5% of my total balance and calculate a stop loss front the time of trade to cancel after I would lose 10% of the account, this would leave a lot of time for it to sway back in your direction if it happens to go the wrong way. As soon as the exchange rate goes 3-5 pips in your favor, change the stop loss slightly higher and closer, every time as it slowly rises. You don’t want to put the stop loss too close to the current rate and be greedy, just in case there is a slightly drop, for it to only rise again faster. (I like to stay 5-8 pips behind it after I am guaranteed profit)
At the end of every week I withdrawal 30% of the profit and keep the other 70% to grow the account, cause as the balance gets bigger, those percentages stay the same, keep the same consistency, and make more money exponentially as it grows.
Once again I am still a novice at forex and still learning my ways to do things and manage risk/reward strategies. Any feedback on this would be greatly appreciated,
submitted by KylyBruh to Forex [link] [comments]

Urban Forex 10 Pips Per Day Scalping Strategy - YouTube The Power Of 20 Pips (Forex Scalping Strategy) - YouTube 20 Pips Per Day  Easiest Strategy Ever - YouTube Sheriff Strategy - How to Get 10 - 20 Pips EASY! - YouTube Forex Simple Strategy: Making 10 pips per trade ...

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Urban Forex 10 Pips Per Day Scalping Strategy - YouTube

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