Pip Value Formula - EarnForex

Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

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]

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]

Position sizing forex help

I suppose it's been asked before, but unfortunately couldn't see it on reddit if it had ever been asked. Anyways, I'm new to Forex trading, and started grasping some few concepts from here and there. Getting straight to the point, the position size formula is as follows:
Account at Risk = Pip(s) at Risk x Pip's Value x Position size
Based on the formula above I guess everyone only works on to find the position size rather than account at risk. So, for instance if I have $300 account, risking 1 percent ($3) with a pip value of $10/pip with pips at risk at 49 pips and plugged every value in the formula above; my position size would be 613.244898 units or 0.006 lot size. That is if we were finding the position size.
So, my point is, what if I wanted to find the pips at risk instead of position size? The reason is I want it to be a perfect unit or lot, like 600 units instead of 613 units we got from the calculation above.
I did the calculations and got 5 pips?? (I got that by dividing 0.0005 divided by 0.0001) does it indicate that the position size would include a pipette? Based on the 49 pips we set on the first example?? And if we did the same thing with 49 pips we'd be getting 4.9...so does that mean 4 is a pip and 9 is a pipette? Or am i missing something?
Sorry for any vocabulary or grammatical errors in advance, english isn't my first language:)
submitted by Ayman_Rocco980 to Forex [link] [comments]

Need some legitimate risk management advice

Brand new to forex, after messing around with stocks and ETFs for a year on robinhood.
In trying to learn about this strange new world, seemingly every article warns me that trading forex is the fastest route to poverty, that I'll lose every dime I have and that I'm better off buying lottery tickets, UNLESS I have a risk management plan.
That's all good and well, but it seems hard to find suggestions on how to actually manage my risk. So far what I have found is either unconvincing, or I just flat don't understand what is being explained. So I've landed here.
Reading the Forex FAQ, in this sub, the advice is to use a very small amount of capital when starting off, and practice live trading from there. If then recommends a formula to use in order to calculate risk, which seems like quite a bit of running calculations for every single trade that I make. Is it really the case that every Forex Trader that manages risk runs a series of calculations for each and every trade in order to figure out pip value and leverage amount, such matter and what have you?
Second problem, before even getting to the risk management section of this Subs FAQ, I'm told to read The Beginner's Guide on baby Pips. Babypips says that when you first start off trading you should not start small because then you will never be able to weather times of drawdown. They recommend something like an initial deposit of $20,000 or 50,000, and saying that if you don't have that much then build up your savings and come back the Forex when you have that to drop into the market. Are you kidding me?
My original plan before reading either of those guides was to deposit $300 and use something like a 10 to 1 or 20 to 1 Leverage.
The part that I'm hung up on which really baffles me and I need some help understanding is everywhere seems to say that I should only risk one or 2% of my account. I don't really understand what that means.
My trading app, OandA allows me to set default trade settings. One of them is trade size, which I can select an option "%Lev NAV" In all of my general Trading I have kept this number at 100, assuming that it is simply using 100% of my account for each trade.
I am also using a system in order to Define very specific entry points with a one-to-one risk reward ratio, setting a stop loss and take profit Target, usually between 9 and 60 Pips in size, depending on the instrument. Thus far, each trade that I have won usually amounts to a 3 to 8% change in the demo account value, which seems comprable to what I was experiencing with stocks and ETFs back on Robinhood. For the last 4 trades I've made, I'm up 15%.
Do I need to adjust this % Lev NAV down to 1% instead of 100? Or do I really need to download a pip value calculator app and make a determination after solving some arithmetic? I just can't seem to figure this out, and different sources use the same words interchangeably yet differently. When risking 1% of my account, does that include leverage, or not, in the trade? And if the most anyone recommends to risk in a trade is 1-2% then why use leverage at all? Won't the returns on 1% be so small as to be negligible? I don't seem to understand how it could possibly be Worth while to spend all that time trading... 1℅ of $300 is three bucks. As I understand it, that would allow me to buy 2 units of the EUUSD... there's no way that could be right, right?
Thanks for your patience and for reading this whole, chapter-length, question of a post.
I look forward to some clarity. I don't know how to switch to live trading, and the demo account does nothing to simulate leverage.
submitted by rm-rf_iniquity to Forex [link] [comments]

trading journal<<< Additional criteria for existing formula

hi all
can somebody help me with this,
i want to combine the two formula into one formula... this formula calculate forex pips, but there are different pairs with different decimal points,
=(M8-J8)*LOOKUP(I8,{"LONG","SHORT"},{1,-1})*1000
=(M8-J8)*LOOKUP(I8,{"LONG","SHORT"},{1,-1})*100

for an example i want to add currency pair name's ( EURUSD, GBPUSD) to this formula so when i write the pair name this formula works for that currency pair
=(M8-J8)*LOOKUP(I8,{"LONG","SHORT"},{1,-1})*1000

and when i wright Yen pairs (USDJPY, GBPJPY) i want this formula to work
=(M8-J8)*LOOKUP(I8,{"LONG","SHORT"},{1,-1})*100

the point is i want the answer on the same column


more details attached
https://preview.redd.it/r5l4u3wuo2p41.png?width=1914&format=png&auto=webp&s=c4a2dd4edb0fbcfaa27594a4defee0d3a1beb29a
submitted by tytwen5656 to excel [link] [comments]

Defining PIP in Forex Trading

If you are interested in forex trading and don’t know where to start, then you are at the right place to learn about forex trading. In this series of blogs, I will be discussing couple of basic terms to know before diving into forex trading. One of the most commonly used term in forex is “ https://bizztrade.com/ ” or known otherwise as “Point in Percentage”. We shall look into detail what exactly is PIP, how can it be calculated and what is its benefits in forex trading.
Defining PIP
In forex, fluctuations of currency prices are quite minor and thus, they are measured in decimal points. A pip is considered as an incremental price movement with specific value dependent on the forex market. This standardized size of pip protects investors with huge losses.
In some cases, a pip consists of the fourth decimal point of a price that is equal to 1/100th of 1%. For example, if EUR / USD moves from 1.07172 to 1.07182 then the difference in the rise in value which is 0.0001 USD equals to 1 pip.
Defining Pipette
Many brokers quote the value of pips in “5 and 3” rather than “2 and 4” which denotes the pip values in a fraction. These fraction values are called pipettes. Each fractional pip equals to “one tenth of a pip”. Each value of the pip or pipette will differ based on the currency that the investotrader has opened in. In a way, we can say that a pip value enables us to calculate the profit and loss before diving in to forex trading.
Calculation of PIP
PIP values varies based on the currency pairs that you are trading in. It also depends on the base currency and counter currency. The pip value is calculate via the simple formula as shown below:
(size of a pip) x (base currency) = PIP value
Another example of understanding what a pip value is that if GBP/USD moves from 1.30542 to 1.30543, then the 0.00001 USD increase is 1 pip value.
Lets look at another example which denotes the calculation of PIP value in forex trading. We will consider the example of USD/JPY. In this case, the value of PIP depends on the exchange rate of USD/JPY.
Suppose that the buy price for USD/JPY is 106.20 and the lot size is 10,000, using the above mentioned formula, the value of the pip will be 0.94 USD. Likewise, if you buy 10,000 USD at the rate of 106.20 yen and you earn $0.94 for every pip value increase. If you sold that same pip at 106.40 yen, then you gain profit of $18.80 but if you sold at 106.00, then you will lose $18.80.
Now that you have understood what exactly is pip and pipette and how to calculate the value of pip before diving deeper into the world of forex trading, be very careful before investing money into money into currency where fluctuation levels are minimal in order to avoid losing your money.
submitted by emilyclark10 to u/emilyclark10 [link] [comments]

What are the risks and targets?

First of all I'm new in the Forex (and I'm reading "babypips" :-).
I'm trying to look into day-trading, but before opening even demo account I decided to experiment with some historical data.
I found and downloaded 2 years of USD/CAD history of 1-minute candles. Then I wrote a simple script that opens a long position every minute (using open ASK price) and looks when it reaches either the target or stop-loss.
The parameters of each trade:
For calculating position parameters I'm using the following formulas:
With given parameters the used leverage is about 1:30.

My testing on historical data shows that in average there're just 2 or 3 entry points in a day. I'm confused with my next steps, because I think it's not enough to create and test a working strategy.

Should I decrease the target? Or increase leverage and risks? What are the usual targets and risks in the day trading?
Thank you!
submitted by DrunkBystander to Forex [link] [comments]

QUESTION: How to calculate the volume (in USD or Units) of a trade?

Can someone give me a formula for calculating the volume (in $ or units) given only

Other Assumptions:
submitted by GeneralEbisu to algotrading [link] [comments]

Calculating profit with margin

So im just starting with forex trading and plan to study as much as possible before i start live trading. I have read margin and how it increases your purchasing power but i cant seem to find a formula to calculate the profits on margin account.
Suppose im trading with $500 account. 5% risk or $25 per trade. I use 50 leverage which means i am able to trade $1,250. Correct me if im wrong, i assume if margin requirements is 2% then $25 will be used as margin. Now with $1,250 i go in all and trade 500 microlots, hypothetically making 25 pip profits or $1,250. Checks out right?
Now the problem is i cant realize where is the profit, am i missing something?
submitted by nabadiyonolol to Forex [link] [comments]

Lot size formula, Please help!

I am using the baby pip position size calculator, but my lot size is always out by ~0.2 +- of a lot I am not sure if it is a rounding error on their end or something worse
The online calculator is: http://www.babypips.com/tools/forex-calculators/positionsize.php
My formula is: (account denomination is AUD)
equity = 10000
risk = 0.03 (or 3%)
standardLotSize = 100000
  1. tick size may change if JPY (but here I am not using JPY)
    tickSize = 0.0001
  2. Account Denomination
    accountDenomination = 'AUD'
  3. Currency Pair
    currencyPair = NZDUSD
  4. Cross pair
    crossCurrency = USD
  5. Currency cost for accountDenomination/Cross
    accountCross = AUDUSD
  6. Cost for account cross (accountCurrencyCost)
    AUDUSD = ~0.77
  7. risk in dollars in account denomination form
    riskDollar = equity*risk
  8. convert this risk to risk of base currency
    riskDollarCounterCurrency = riskDollar*accountCurrencyCost
    = 300*0.77
  9. Stop loss in pips
    stopLossPips = 6
  10. Risk per pip in cross currency form
    crossRiskPerPip = riskDollarCounterCurrency/stopLossPips
  11. Calculate how many units to buy
    units = crossRiskPerPip/tickSize
  12. Calculate how many lots to buy
    lotSize = units/100000
What am I missing here????
submitted by peachesxxxx to Forex [link] [comments]

How To Calculate Pips Profit: This Is A Simple Way To Do ... What is a Pip’s Worth? / How do i calculate a pip?  FXTM ... Fortrade's Pip Value Calculator Pip Value and Profit Calculations Calculating a PIP - TradingBanks Tutorial How to calculate pips, Profit and loss?

Pip Value Formula. The standard pip value for a USD-based account and USD-quoted currency pairs (EUR/USD, GBP/USD, AUD/USD, etc.) is $10 for one standard lot. But many beginning Forex traders soon stumble upon non-USD currency pairs (USD/JPY, USD/CHF, or more difficult – EUR/JPY, EUR/CHF) or non-dollar based accounts. In all these cases, the value of a single pip for your positions is not ... Use our pip and margin calculator to aid with your decision-making while trading forex. Maximum leverage and available trade size varies by product. If you see a tool tip next to the leverage data, it is showing the max leverage for that product. Please contact client services for more information. Currencies. Margin. Base Currency. Market PIP Value Bid Rate Required Margin Margin Contract ... Forex 400 Leverage Micro Lot Broker : NEW YORK. LONDON . KARACHI . TOKYO PIP & PROFIT/LOSS CALCULATION ... Pip value for cross rates are calculated according to the following formula: Formula Pip = lot size x tick size x base quote / current rate Example for 100,000 EUR/GBP contract currently trading at .6750, and EUR/USD currently trading at 1.1840: 1 pip = 100,000 (lot size) x .0001 (tick ... Alternatively, you can use a formula instead of the forex pip calculator; How to calculate pip value using a formula. Pip Value = (pip value in decimal places × trade size in units)/exchange rate. Example: One Pip: 0.0001 Account Currency: EUR Currency Pair: EUR/USD Exchange Rate: 1.08962 (EUR/USD) Lot Size: 1 Lot (100,000 EUR) Pip Value = (0.0001 x 100,000)/ 1.08962. Each Pip is worth €9 ... Pip is one word you’ll likely hear in any conversation about forex trading. One of the first subjects you’ll learn in most forex trading courses is just what a pip is and how to calculate pips ... Being a Forex trader, you might have heard about Pips in Forex trading. In order to trade successfully, you need to understand the definition and the calculation of pip value. On the other hand, a pip protects an investor from a huge loss. In Forex, the “PIP” stands for the “point in percentage”. So, is the Pip Calculator for you? Well, this is for you if: You want to know the pip value of different Forex pairs (without manual calculation) You want to trade with proper risk management and position size; You hate trying to figure out the correct pip value of the different Forex pairs; Now you’re probably wondering: “How much does it cost?” Well, I’ve spent over $275 to develop ...

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How To Calculate Pips Profit: This Is A Simple Way To Do ...

www.tradingbanks.com In our previous lesson on "What is a PIP", we learned what is it and where it is denoted. In this easy explainer video, we will now learn how to calculate PIPS. Check out our ... For the Fortrade Pip Value Calculator: https: ... HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING (FORMULA & EXAMPLES) - Duration: 10:37. Karen Foo 87,389 views. 10:37. 10 Legit Ways To ... HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING (FORMULA & EXAMPLES) - Duration: 10:37. ... How to Calculate Pips on Mobile in Meta Trader 4 - Duration: 8:12. Brian Kenya Horton 53,053 ... So far in this series of videos, we have explained what pips are, how to read currency pairs and the different types of ‘lots’. Now we need to know how to ca... FOREX TRADING - HOW TO COUNT THE PIPS & CALCULATE POSITIONS (2019) - Duration: 13:56. Day Trading FOREX w Jerrell Coleman 4,600 views Here's how to calculate pips profit, it's a simple formula that I use and was taught inside this educational platform. Want to learn more about pips and how ...

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