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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]

Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

Forex Trading Basics Reddit - Forex Glossary Terms For Beginners

Forex Trading Basics Reddit - Forex Glossary Terms For Beginners

What is Forex - Terminology

https://preview.redd.it/pmjpy8sqh1x51.jpg?width=580&format=pjpg&auto=webp&s=b02715d6d6f153592a967f577c18578363ca731c
The FOREX market is the largest financial market in the world. On a daily basis, trillions of dollars are traded in different currencies around the world.
Being FOREX the basis for international capital transactions, its liquidity and volume are much greater than any other financial market. It is estimated that the average volume traded by the world's largest stock exchange, the New York Stock Exchange (NYSE) in a full month, is equal to the volume traded daily in the Forex currency market. In addition, it is estimated that this volume will increase by 25% annually.
80% of transactions are between the US dollar (USD), the euro (EUR), the yen (JPY), the British pound (GBP), the Swiss franc (CHF), and the Australian dollars (AUD) and Canadian (CAD).

What is traded in the Forex market?

We could just say that money. Trading in FOREX simultaneously involves buying one currency (for example euros) and selling another (for example US dollars). These simultaneous purchase and sale operations are carried out through online brokers. Operations are specified in pairs; for example the euro and the dollar (EUR / USD) or the pound sterling and the Yen (GBP / JPY).
These types of transactions can be somewhat confusing at first since nothing is being purchased physically. Basically, each currency is tied to the economy of its respective country and its value is a direct reflection of people's perception of that economy. For example, if there is a perception that the economy in Japan is going to weaken, the Yen is likely to be devalued against other currencies. In other words, people are going to sell Yen and they are going to buy currencies from countries where the economy is or will be better than Japan.
In general, the exchange of one currency for another reflects the condition of the health of the economy of that country with respect to the health of the economy of other countries.
Unlike other financial markets such as the stock market, the currency market does not have a fixed location like the largest exchanges in the world. These types of markets are known as OTC (Over The Counter). Transactions take place independently around the world, mainly over the Internet, and prices can vary from place to place.
Due to its decentralized nature, the foreign exchange market is operated 24 hours a day from Monday to Friday.
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Forex Trading Basics - Basic Forex Terminology

https://preview.redd.it/657dbjqvf1x51.jpg?width=421&format=pjpg&auto=webp&s=bd99eac3d8c68916078b089fc4af5ba14db289fc
As with any new skill that is learned, it is also necessary to learn its terminology. There are certain terms that you must know before you start trading Forex. Here are the main ones.

• Major and minor currencies

The 8 most widely used currencies (USD, EUR, JPY, GBP, CHF, CAD, NZD, and AUD) are known as “ major currencies ”. All other currencies are called " minor currencies ." You don't need to worry about minor currencies, as you probably won't start trading them for now. The USD, EUR, JPY, GBP, and CHF currencies are the most popular and most liquid currencies on the market.

• Base currency

The base currency is the first currency in any currency pair. It shows how much the base currency is worth against the second currency. For example, if the USD / CHF has a rate of 1.6350, it means that 1 USD is worth 1.6350 CHF. In the forex market, the US dollar is in many cases the base currency to make quotes, the quotes are expressed in units of $ 1 on the other currency of the pair.
In some other pairs, the base currency is the British pound, the euro, the Australian dollar, or the New Zealand dollar.

• Quoted currency

The quote currency is the second currency in the currency pair. This is often referred to as a "pip-currency" and any unrealized gains or losses are expressed in this currency.

• Pip

A pip is the smallest unit of the price of any currency. Almost all currencies consist of 5 significant digits and most pairs have the decimal point immediately after the first digit. For example EUR / USD = 1.2538, in this case, a pip is the smallest change in the fourth decimal space, which is, 0.0001.
A notable exception is the USD / JPY pair where the pip equals $ 0.01.

• Purchase price (bid)

The buying price (bid) is the price at which the market is ready to buy a specific currency in the Forex market. At this price, one can sell the base currency. The purchase price is displayed on the left side.
For example, in GBP / USD = 1.88112 / 15, the selling price is 1.8812. This means that you can sell a GPB for $ 1.8812.

• Sale Price (ask)

The asking price is the price at which the market is ready to sell a specific currency pair in the Forex market. At this price, you can buy the base currency. The sale price is displayed on the right-hand side.
For example, at EUR / USD = 1.2812 / 15, the selling price here is 1.2815. This means that you can buy one euro for $ 1.2815. The selling price is also called the bid price.

• Spread

All Forex quotes include two prices, the bid (offer) and the ask (demand).
The bid is the price at which the broker is willing to buy the base currency in exchange for the quoted currency. This means that the bid is the price at which you can sell.
The ask is the price at which the broker is willing to sell the base currency in exchange for the quoted currency. This means that the ask is the price at which you will buy. The difference between the bid and the ask is popularly known as the spread and is the consideration that the online broker receives for its services.

• Transaction costs

The transaction cost, which could be said to be the same as the Spread, is calculated as: Transaction Cost = Ask - Bid. It is the number of pips that are paid when opening a position. The final amount also depends on the size of the operation.
It is important to note that depending on the broker and the volatility, the difference between the ask and the bid can increase, making it more expensive to open a trade. This generally happens when there is a lot of volatility and little liquidity, as happens during the announcement of some relevant economic data.

• Cross currency

A cross-currency is any pair where one of the currencies is the US dollar (USD). These pairs show an erratic price behavior when the operator opens two operations in US dollars. For example, opening a long trade to buy EUR / GPB is equivalent to buying EUR / USD and selling GPB / USD. Cross-currency pairs generally carry a higher transaction cost.

• Margin

When you open a new account margin with a Forex broker, you must deposit a minimum amount of money to your broker. This minimum varies depending on each broker and can be as low as € / $ 100 at higher amounts.
Each time a new trade is executed a percentage of your account margin balance will be the initial margin required for a new trade based on the underlying currency pair, current price, and the number of units (or lots) of the trade. .
For example, let's say you open a mini account which gives you a leverage of 1: 200 or a margin of 0.5%. Mini accounts work with mini lots. Suppose a mini lot equals $ 10,000. If you are about to open a mini lot, instead of having to invest $ 10,000, you will only need $ 50 ($ 10,000 x 0.5% = $ 50).

• Leverage

Leverage is the ratio of the capital used in a transaction to the required deposit. It is the ability to control large amounts of dollars with relatively less capital. Leverage varies drastically depending on the broker, it can go from 1: 2 to even 1: 2000. The most common level of leverage in Forex can currently be around 1: 200.

• Margin + leverage = dangerous combination

Trading currencies on margin allows you to increase your buying power. This means that if you have $ 5,000 in account margin that allows you a 1: 100 leverage, you can then buy $ 500,000 in foreign exchange as you only have to invest a percentage of the purchase price. Another way of saying this is that you have $ 500,000 in purchasing power.
With more purchasing power you can greatly increase your potential profits without an outlay of cash. But be careful, working with a high margin increases your profits but also your losses if the trade does not progress in your favor.
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submitted by kayakero to makemoneyforexreddit [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]

Forex Orders 101

u/OK-Face made a post with some questions about limits and stop orders. I started to write up a big comment but then figured I’d just create an “Orders 101” post in case other newbies might find it useful. If you don’t like massive walls of text, now is the time to leave!
The very basics
First you need to know a little about forex market makers. A market maker publishes two prices: the bid price (lower) and the ask price (higher). The market maker will sell you units of a currency pair at the higher ask price, and will buy units of a currency pair back from you at the lower bid price. They make money by buying units at the bid from one user and selling those units at the ask to another user, pocketing the difference.
The difference between the bid and the ask is called the spread. A narrow spread is good for users. If you buy at the ask (or sell at the bid) you only need the bid (ask) to move upwards (downwards) a little bit before you can sell (buy) back to the market maker to close the position for a profit. The spread will vary over time; the market maker wants to keep it narrow to compete for customers but wide enough to ensure they make money even when the market moves unexpectedly. When the market is stable the spread will be narrow; when the market is volatile the spread will be wide.
When someone refers to the price of a currency pair you can usually infer which price (the bid or the ask) they are referring to from the context. If they’re talking about going long (buying) then they are probably referencing the ask. If they are talking about going short (selling) then they are probably referencing the bid. Broker software usually allows you to plot both at the same time, which visualizes not only the prices by the spread (and thus the market maker’s measure of volatility).
The “market price” or “mark” is the midpoint between the bid and ask. It’s sometimes used when charting prices, since it smoothes out changes in the spread.
The details of where the bid and ask prices come from, how they differ between market makers and from inter-bank rates, and how they are related to but very different from bid/ask spreads on exchange-traded instruments like stocks are all well beyond the scope of this post. (But you should learn it eventually!)
Opening and closing a position
First, burn it into your brain that a long position is opened by buying from the market maker at the ask and closed by selling back to the market maker at the bid, while a short position is opened by selling to the market maker at the bid and closed by buying back from the market maker at the ask.
(Really a short position is a loan from the market maker that you can satisfy with units of currency pairs bought back from them at a later time. But whatever.)
When you open a new position you use one of two types of orders: a market order or a limit order.
A market order tells the market maker to fill your order as soon as your order gets to the front of the queue, no matter what the price is. If it’s a market buy to go long on a pair then the order will be filled at the ask price. If it’s a market sell to go short on a pair then the order will be filled at the bid price. The time it takes your order to get to the front of the queue is usually less than a second, but the price could change pretty dramatically in that second. A market order says “I don’t care what happens to the price between now and then, just fill my order as quickly as possible.”
A limit order goes through the order queue too, but when it reaches the front it tells the market maker to wait to fill your order until an acceptable (to you) price is available. If it’s a limit buy to go long on a pair then you specify the maximum ask price you are willing to pay. If it’s a limit sell to go short on a pair then you specify the minimum bid price you are willing to accept. If the price is already acceptable then the order is filled immediately just like a market order, otherwise it waits until it’s filled or canceled.
When you close a position you can also choose a market order or a limit order. If you have a long position then you can either submit a market sell order or a limit sell order to sell back your units at the bid. If you have a short position then you can either submit a market buy order or a limit buy order to buy back the units you shorted at the ask. These orders work just like orders to open a position, but instead of creating a new position they cancel out your existing position. (Hopefully leaving you with a profit.)
It is possible to submit offsetting orders that don’t actually cancel out one another! For example, a market maker may allow you to submit a market buy order to go long one lot of EUUSD and then separately submit a market sell order to go short one lot of EUUSD, and track those two positions separately rather than cancel them out. For this reason an order used to close out a position is sometimes clarified as “to close”, as in “market sell to close”. Most users will close positions by right-clicking the position in their broker’s GUI and click “close” (or something similar); this will automatically submit a market order (buy or sell) to close. Submitting a limit order to close may take more clicks.
Conditional orders to close
When you create an order you can attach conditional orders to close that are only submitted if the bid or ask price moves past a trigger price. You specify the trigger price and the type of order to be submitted when the trigger hits: market or limit. There are four possible combinations, but only three are commonly used.
A conditional market order to close a losing position is called a stop-loss order.
A conditional limit order to close a losing position is called a stop-limit order.
A conditional market order to close a winning position doesn’t have a name and isn’t commonly used.
A conditional limit order to close a winning position is called a take-profit order.
Generally the trigger price is compared to the price (bid or ask) that will be used to close the position. For example, a long position is closed by selling at the bid, so the trigger price for a stop-loss on a long position will be compared to the bid. Some market makers will allow you to get fancy and decide which price your trigger is compared to, which may be useful if, for example, your strategy is entirely based on the ask price but you want to use a conditional order to close a long position without worrying about the spread.
Let’s look at the three common conditional orders to close, from simplest to confusing.
Stop-loss orders
A stop-loss order is a conditional market order to close a losing position. The trigger price is set on the losing side of the position. When the bid/ask price passes the trigger price, a new market order is created to close the position. Like any market order, it is filled at whatever the bid/ask price is when the order makes it to the front of the queue.
For a long position the trigger price is less than the original ask price at which the currency pair was bought. A long position is closed by selling at the bid, so the trigger price is usually compared to the bid. When the bid price falls down to the trigger price a new market sell (to close) order is submitted. When it reaches the front of the queue it’s filled at the current bid, offsetting the position.
For a short position the trigger price is greater than the original bid price at which the currency pair was sold short. A short position is closed by buying at the ask, so the trigger price is usually compared to the ask. When the ask price rises up to the trigger price a new market buy (to close) order is submitted. When it reaches the front of the queue it’s filled at the current ask, offsetting the position.
Stop-loss orders are used as a last resort: “If my losses get too big close the position as fast as possible, even if that means closing at a less advantageous price.” It’s not uncommon for the bid/ask price to shoot past the trigger price so quickly that the price at which the position closes is quite a bit worse than the trigger price. On the other hand, it’s also not uncommon for the price to just barely touch the trigger price (triggering the placement of the market order to close) and bounce back, so that the price at which the position closes is better than the target price. (This latter scenario can sometimes make people wonder why the position was closed, since it may appear that the price never reached the trigger.)
Take-profit orders
A take-profit order is a conditional limit order to close a winning position. The trigger price is set on the winning side of the position. When the bid/ask price passes the trigger price, a new limit order is created to close the position. Like any limit order, it is only filled when the bid/ask price is better for the customer than the specified limit price.
The limit price for a take-profit order is usually the same as the trigger price. (Some market makers may allow it to be different.)
For a long position the trigger (and limit) price is greater than the original ask price at which the currency pair was bought. A long position is closed by selling at the bid, so the trigger price is usually compared to the bid. When the bid price rises up to the trigger price a new limit buy (to close) order is submitted. When it reaches the front of the queue it waits until the current bid is at least equal to the limit price, then it fills and offsets the position.
For a short position the trigger (and limit) price is less than the original bid price at which the currency pair was sold short. A short position is closed by buying at the ask, so the trigger price is usually compared to the ask. When the ask price falls down to the trigger price a new limit sell (to close) order is submitted. When it reaches the front of the queue it waits until the current ask is at most equal to the limit price, then it fills and offsets the position.
Since the limit price is usually set equal to the trigger price, and since the bid/ask price doesn’t usually reverse within the short time while the new order (to close) moves through the queue, a take-profit order usually closes almost immediately after being triggered, at a price at or very slightly above the triggelimit price. However it is possible that the bid/ask price just touched the trigger price and immediately reverses, leaving the limit order (to close) pending on the queue until the price moves favorably again.
Stop-limit orders
Finally we come to the confusing one. A stop-limit order is a conditional limit order to close a losing position. The trigger price is set on the losing side of the position. When the bid/ask price passes the trigger price, a new limit order is created to close the position. Like any limit order, it is only filled when the bid/ask price is better for the customer than the specified limit price.
Unlike a take-profit order, the limit price for a stop-limit order is usually not the same as the trigger price.
For a long position the trigger (and limit) price is less than the original ask price at which the currency pair was bought. A long position is closed by selling at the bid, so the trigger price is usually compared to the bid. When the bid price falls down to the trigger price a new limit sell (to close) order is submitted. When it reaches the front of the queue it waits until the current bid is at least equal to the limit price, then it fills and offsets the position.
For a short position the trigger (and limit) price is greater than the original bid price at which the currency pair was sold short. A short position is closed by buying at the ask, so the trigger price is usually compared to the ask. When the ask price rises up to the trigger price a new limit buy (to close) order is submitted. When it reaches the front of the queue it waits until the current ask is at most equal to the limit price, then it fills and offsets the position.
On first blush this appears to be the opposite of a take-profit order, but it behaves quite differently. Take a long position for example, and consider what happens when the bid price moves quickly down past the trigger and continues to fall. The limit sell order (to close) is submitted but suppose the limit is set close to the trigger price. Since the bid is still falling it’s on the wrong side of the limit price (for the customer) so the limit order won’t fill. A stop-limit order says “If I’m losing money and the price moves to X, try to close my position, but don’t accept anything too much worse than X.”
Because a rapid price movement may pass both the trigger and the limit, the limit needs to be set carefully to give a little “breathing room” for the limit in case of rapid price movement.
Stop-limit orders require careful calculation of triggers and limits to fix risk, or you can end up closing a position early, too late, or not at all!
Final thoughts
I hope you learned something! At the very least, I hope some newbies see that setting stop-losses, stop-limits, and take-profits involves a lot more math and understanding of the mechanics of the market than thinking “this looks like a good place to limit my losses” and clicking the mouse.
Corrections are highly appreciated! I intentionally glossed over a ton of details but if in doing so I omitted something important please let me know!
submitted by thicc_dads_club to Forex [link] [comments]

MAME 0.210

MAME 0.210

It’s time for the delayed release of MAME 0.210, marking the end of May. This month, we’ve got lots of fixes for issues with supported systems, as well as some interesting additions. Newly added hand-held and tabletop games include Tronica’s Shuttle Voyage and Space Rescue, Mattel’s Computer Chess, and Parker Brothers’ Talking Baseball and Talking Football. On the arcade side, we’ve added high-level emulation of Gradius on Bubble System hardware and a prototype of the Neo Geo game Viewpoint. For this release, Jack Li has contributed an auto-fire plugin, providing additional functionality over the built-in auto-fire feature.
A number of systems have had been promoted to working, or had critical issues fixed, including the Heathkit H8, Lola 8A, COSMAC Microkit, the Soviet PC clone EC-1840, Zorba, and COMX 35. MMU issues affecting Apollo and Mac operating systems have been addressed. Other notable improvements include star field emulation in Tutankham, further progress on SGI emulation, Sega Saturn video improvements, write support for the CoCo OS-9 disk image format, and preliminary emulation for MP3 audio on Konami System 573 games.
There are lots of software list additions this month. Possibly most notable is the first dump of a Hanimex Pencil II cartridge, thanks to the silicium.org team. Another batch of cleanly cracked and original Apple II software has been added, along with more ZX Spectrum +3 software, and a number of Colour Genie cassette titles.
That’s all we’ve got space for here, but there are lots more bug fixes, alternate versions of supported arcade games, and general code quality improvements. As always, you can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

MAME 0.210

MAME 0.210

It’s time for the delayed release of MAME 0.210, marking the end of May. This month, we’ve got lots of fixes for issues with supported systems, as well as some interesting additions. Newly added hand-held and tabletop games include Tronica’s Shuttle Voyage and Space Rescue, Mattel’s Computer Chess, and Parker Brothers’ Talking Baseball and Talking Football. On the arcade side, we’ve added high-level emulation of Gradius on Bubble System hardware and a prototype of the Neo Geo game Viewpoint. For this release, Jack Li has contributed an auto-fire plugin, providing additional functionality over the built-in auto-fire feature.
A number of systems have had been promoted to working, or had critical issues fixed, including the Heathkit H8, Lola 8A, COSMAC Microkit, the Soviet PC clone EC-1840, Zorba, and COMX 35. MMU issues affecting Apollo and Mac operating systems have been addressed. Other notable improvements include star field emulation in Tutankham, further progress on SGI emulation, Sega Saturn video improvements, write support for the CoCo OS-9 disk image format, and preliminary emulation for MP3 audio on Konami System 573 games.
There are lots of software list additions this month. Possibly most notable is the first dump of a Hanimex Pencil II cartridge, thanks to the silicium.org team. Another batch of cleanly cracked and original Apple II software has been added, along with more ZX Spectrum +3 software, and a number of Colour Genie cassette titles.
That’s all we’ve got space for here, but there are lots more bug fixes, alternate versions of supported arcade games, and general code quality improvements. As always, you can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to MAME [link] [comments]

Most volatile currency FX pair for max forex trading profit What are the Best Forex Pairs to Trade During London ... HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING ... Trading Stable vs Volatile and Exotic Currencies Which forex pairs move the most - pairs to trade for FAST ... BEST FOREX PAIRS TO SCALP? PART 12 - YouTube

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Most volatile currency FX pair for max forex trading profit

Best FX Pairs to Scalp? http://www.financial-spread-betting.com/course/technical-analysis.html PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE Many scalpe... - Wider Stops - you really need to use wider stops with exotic currency pairs. - Higher spread charges - it will cost you a lot more to trade and the liquidity in the underlying is less. As such ... 💰💰Which #forex pairs move the most - pairs to trade for FAST money and FAST pips. The most volatile Forex pairs can move on average for more than 400 points ... How to calculate pips in forex trading? A lot of people are confused about pips forex meaning and the forex trading pip value. You need the value per pip to ... Most volatile currency FX pair for max forex trading profit Bryan Downing. Loading... Unsubscribe from Bryan Downing? Cancel Unsubscribe. Working... Subscribe Subscribed Unsubscribe 9.22K. Loading ... #forex #bestforexpairs #forexeducation In this video we break down what are the best forex pairs to trade during London session. Forex Volatility Calculator ...

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