Pip Rechner Forex Pip Rechner Pip Wert Rechner

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]

Metatrader says that the 5th decimal equals 1 pip, this is madness

Metatrader says that the 5th decimal equals 1 pip, this is madness
Update: I have managed to figure out my own mistake, after painful hours of reading articles, head banging, and doubting my existence. The articles on the MT crosshair state that the second value is a representation of points, and not pips, but I clearly commited a mistake by not reading over all of them. So if you are a beginner, take this as a word of advice, I paid with blood and sweat for this little mistake(mostly a lack of sleep). If you want to keep reading, feel free to, my mistake is also exemplified and explained in further detail.
Hello guys, I have a really important and probably easy problem that I do not seem to be able to figure out. Today is the last day of the week, and I've been crunching forex tutorials for the past 5 days like a madman trying to understand as much as I can before my university year starts. But on the last day, I have a really frustrating problem:
I decide to buy EUUSD with a lot size of 0.01(micro lots)
Entry price: 1.0972 (I leave the pipette out, as I've learned that it is not so significant)
Take profit 50 pips above: 1.0972+ 0.0050 -These are 50 pips, I am totally sure of that ===> TP= 1.0972
HOWEVER: When I look at the chart with my crosshair and measure 50 pips, the TP= 1.0927 WTF? What am I leaving out from my calculations? I am sure someone more experienced could easily tell me what's wrong, but I don't get it, why does 50 pips equal 1.0927 instead of 72? The 4th number is 1 PIP, and the 5th is a pipette. So what's wrong? It says 50 pips equal a change in the 4th decimal, but that is impossible, right? The 4th decimal is 1 pip, not 10!!
If I was to speculate an answer, I would say that the 5th decimal in metatrader is considered 1 pip? But why? The 5th decimal is always a pipette, right??? But IF I MEASURE IT, a change in the 5th decimal equals 1 pip in the crosshair!
What's going on here? Is there something the tutorials did not cover? I can practically just change my calculation a bit but I wonder what is going on here? I've literally stayed up all night wondering why my orders were missing the SL and TP just to zoom out and see my take profit in heaven and the stop loss in the 9th circle of hell, right under my table. If someone could clear up as of what is going on, I would greatly appreciate it!

UPDATE: After bouncing back and forth a few articles, I have realized something extremely infuriating. The MT4 crosshair shows points, and they need to be divided by 10 in order to get the actual pips!

https://preview.redd.it/a1gd14cco2p31.png?width=1920&format=png&auto=webp&s=18669616ae7257e7a2e2fab51bb2cba0f4818da0
Reading the forexpeacearmy article, it first states that the second value are pips, and under it, it states that they are actually 90.1 pips and not 901 pips. This is something someone can very easily look over, mostly if they are a newbie!

https://preview.redd.it/zu2zoa8qo2p31.png?width=1920&format=png&auto=webp&s=1ec334b1ac545d1b53fbf2c68a1c8cd2f833988a
submitted by AlexSimply to Forex [link] [comments]

Forex Trading: Most Popular and Money Making Trading in this Era.

Forex is an acronym of Forex Exchange and Forex trading is one sort of trading currencies from different countries against all others in online Forex trading market. It designates buying one currency whereas selling another currency at the same time. It is conducted over the counter also. This market is open 24 hours a day (five days in a week without two weekly holidays). It is one of the biggest online financial markets in the earth. Throughout this trading, a trader can trade national currencies with a view to trying and making a profit within very short time frame. To initiate forex trading successfully, some important elements are intensively needed to know and utilize and those are mentioned below.
Forex Trading Broker
Forex trading broker is the platform where the Forex traders can set up their trade smoothly and easily. Broker acts as the host of the trading to continue trading. Furthermore, to set up trading with a collection of available currencies, traders are supposed to decide a dependable Forex trading broker. On the whole, to be a successful trader, a fair broker is greatly preferred.
Forex Trading Account
No account, no trade. All types of trading can be directed and maintained by Forex trading account and the account has been formed by the brokerage houses also. Throughout the accounts, traders can retain their trading. Regarding the account, demo account is very important also. It makes the traders perfect and experienced before executing real trading. All the traders should practice demo account before starting real trading on the basis of real account.
Types of Account
There are two types of Forex trading accounts available in the Forex trading market that helps the traders to execute the trade and these are given below:
  1. Real Account.
  2. Demo Account
Lot in Forex Trading Market
A lot determines to a bundle of units in Forex trading marketplace. It finds out the extent of the trade that traders are making in trading market. In Forex trading, a micro lot is equaled to 1/100th of a lot or 1000 units of the fundamental currency. So, a micro lot characteristically is the smallest position extent that trader can trade with. The following are the quantities essentially used in the Forex trading marketplace:
  1. A standard forex trading lot =100,000 unites of base currency in the Forex market.
  2. A mini lot = 10,000 unites of base currency in the Forex trading market.
  3. A micro lot = 1,000 unites of base currency in the Forex trading market.
  4. A nano lot = 100 unites of base currency in the Forex trading market
Volume in Forex Trading Market
Volume is an essential part of Forex trading world. In essence, volume is the amount of shares in entire market throughout a specified phase of time.
Major Currency Pair
At the time of carrying out trade, a trader has to prefer a currency pair that trader anticipates to modify in value and place regarding the trade chronologically. A number of important currencies are used to deal with currency pairs. Essentially, there are four major currencies pairs are incredibly popular and regular in the Forex trading market for example:
  1. USD and Swiss Franc (USD/CHF)
  2. Euro and USD (EUUSD)
  3. British pound and USD (GBP/USD)
  4. USD and Japanese Yes (USD/JPY)
Forex Leverage Trading
Forex leveraged trading is very much cooperative requirement for the trader. Forex leveraged trading is one of the input remunerates at the back trading Forex. It refers to trader as border, permits the trader to arrive at an enormous disclosure to the markets for comparatively a minimal starting deposit. Throughout this option, a trader can acquire loan from the broker. It determines how much loan a trader can obtain from the brokers.
Risks also involved in the Forex Trading Market
It is highly pointed out that Forex trading is not only connected to earning extremely but also it has vast risk. Consequently, if the traders do not maintain the trade correctly, they must fall into hazard and their account will have to zero. Furthermore, without calculating the marketplace logically, emotion and excitement can destroy traders’ successes.
Pipette
Pipettes are smaller than a pip. Fundamentally, 1 pip = 10 pipettes. Pipettes are premeditated as smallest in terms of price faction. Pip is made up of pipettes. For instance, 10 pipettes conclude one pip. It is usual unit at the time of trading. It is the one-tenth of pip or unit. In fact, pipette value = the value modify in counter currency times the exchange rate ratio times the component of currency traded. In this way, pipette value = the value change in counter currency times the trade rate ratio times the unit of money traded.
Pip
Pip is a vital component of Forex trading. A pip is made up of 10 pipettes and it resolves one pip. On the whole, it is an exclusive of amount used by traders to reveal vary in value or price between trader’s currency pairs. Essentially, a pip is the smallest amount price move that a detailed exchange rate makes based on trading market regulation. In fact, 10 pipettes = 1 pip. A pip of Forex trading varies depending on how a known currency pair is traded. It is also possible but rare to value in half-pip increments.
Spread in the Forex Trading
Like pip, the spread determines the difference between the buying and the selling price. These two values are specified for a currency pair. In addition, the spread characterizes the discrepancy between what the marketplace maker gives buying from a Forex trader and what the market maker takes selling to a trader.
Scam in Forex Trading
Scam or fraud brokers are very much hazardous for the traders. It can cheat you and your valuable capital. The broker should be official and legal. Before creating a Forex trading account, a trader is supposed to analysis and research the broker. It can be done by live chatting, sending SMS and analysis the data of that brokerage house. If complaints are available against the brokers, it is supposed to be left. Even, the brokerage houses have to be popular and admired by the traders.
submitted by dwaynebuzzell to tradingfx [link] [comments]

HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING ... How to Calculate Value Per Pip in Forex Standard and Micro ... Forex Micro Account Profits 21.03.2017 Episode 88: How To Calculate Pips and Pip Value in Forex ... FREE Forex Lot Size Calculator: How to use the Right Lot ... Forex Calculator for Risk Tolerance, Lots, Profits, etc ... Lot Size and Value Per Pip Calculator - Position Size ...

Use Forex Education Profit Calculator to understand how much you can earn on trading with different pairs, time periods and a lot more. Best Forex broker 2019 Open account Log in en FX Trading Trading platforms Referral program Promotions Analysis & education Copytrading Your Finances. Trading conditions. Assets. Our best spreads and conditions Learn more MetaTrader 4. MetaTrader 5. c Trader ... Our profit and loss calculator will help you find out how much you stand to lose or gain if your stop-loss and/or take-profit levels have been reached. Select your base currency, the currency pair you are trading on, your trade size in lots and account type. Set the opening price and your stop loss and take profit values. Ein fortgeschrittener Pip Rechner, entwickelt von Investing.com. With the trading calculator you can calculate various factors. For example: Contract size = Lots * Contract Size per Lot 2 Lots of EUR/USD: 2 * 100,000 EUR = 200,000 EUR Pip value (Forex) = (1 Pip / Exchange rate of quote currency to USD) * Lot * Contract size per Lot 2 Lots of EUR/USD: (0,0001 / 1) * 2 * 100,000 = 20 USD. Similarly in case of mini lot of 10,000, the profit and loss from forex trading can be calculated by multiplying the number of Pips with 1 USD. Rule No.2: In case of quote currency other than USD, the profit and loss will be calculated by dividing the number of pips with the exchange rate and then multiplying the result with lot size. Let us discuss few factual examples on how to calculate ... A lot is an order of a certain number of units. Historically, spot Forex trading was only available in specific amounts of base currency called lots. A standard size of a lot equals to 100,000 units of a base currency. Later on, when Forex market opened for traders with smaller capital, a mini and even a micro lot became available. LOT CALCULATOR; CONTACT; Terms and Conditions; 0. Lot Calculator. Select Pair * Your Equity in USD * Value of 1 pip per Standard Lot in USD (See TAB Below) * Trade Entry Price * Stop Loss Level * Maximum Risk % * Set in decimals (Ex. 2%=0.02 or 2.5%=0.025) Maximum Risk $ PIPS Difference. Total Risk $ Rapporto. Total Risk % Total Lot. Take Profit 1 Lot Size (70% of Total) Take Profit 2 Lot Size ...

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HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING ...

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