Double Supertrend Strategy Backtest (8500+ Trades on 28 Pairs)
Hi everyone, so a few months ago I discovered this post by u/AHoomanBeanz which is a strategy I've never heard of before. Basically, you have 2 Supertrends, a short-term one, and a long-term one and when both Supertrends go in the same direction you take a trade. I took the liberty of modifying the strategy by setting fixed TPs instead of trailing SL with the short-term Supertrend. Check out his post for more info about entries, SL, etc. In order to determine what way is the most efficient, I backtested this exact strategy on all 28 Majors and Minors and took five different approaches to TPs and moving of SL: - 1:1 RRR, No Breakeven SL - 1:1.5 RRR, No BE SL - 1:2 RRR, No BE SL - 1:1.5 RRR, Move SL to BE at 1:1 RRR - 1:2 RRR, Move SL to BE at 1:1RRR There would be many other ways to handle the TPs and SLs but it already took me months to backtest this but if anyone wants to extend this backtest, feel free. The Results Using all 5 ways there were 8 out of 28 pairs that weren't profitable at all. (EURGBP, EURCAD, GBPAUD, GBPNZD, AUDCHF, NZDJPY, CADCHF, CHFJPY) The remaining 20 pairs were profitable with at least one of the 5 ways. So I combined all 20 pairs and their most profitable TP/SL management methods and it turns out that the strategy isn't even that bad considering that you really just have to understand how Supertrends work. Now here are some quick stats: Backtest Period: Jan 2017 - Aug 2020 - Risk Per Trade: 1% - Winrate: 44.66% - Profit Factor: 1.65 - Average Monthly Return: 5.81% - Max Drawdown: 18.4% Notice that the drawdown is pretty high so if you're trading with a prop firm like FTMO you could just risk half as much (0.5% per trade) and your max DD would be 9.2%. Keep in mind that the return would also get cut in half. If you want to get a more detailed view, here's the backtesting spreadsheet (Before anyone asks: I spent 2-4h per day for around 6 weeks backtesting and tracking this stuff.)
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
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.
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.
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 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.
I am a Software Engineer / Data Scientist and I decided to give a go at automating a strategy based on the ParallaxFX strategy floating around and backtests the results, also due to some inspiration by Vanguer
I backtested on the majors 4H timeframe between January 2015 to January 2020.
I am only considering trades from the top and bottom bands for now.
This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief. What is this? I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it. What changed? Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens. Where can I see your backtested result? I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system. What was the sample size? I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number. What is the bottom line? If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Extended: 223.46 R of return, 2.34 of profit factor, 0.72 R of expected value, 46.13% winrate. The average win is 2.72 R while the average loss is -1.00 R.
Unextended: 172.20 R of return, 2.19 of profit factor, 0.56 R of expected value, 53.23% winrate. The average win is 1.92 R while the average loss is -1.00 R.
The highest drawdown for both systems was 18 R. This seems like a lot, but remember you're splitting risk in half.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended. Who wins? The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level. I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target. Drawdown management The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further. What's next? I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes. Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend. I think I don't have much else to add. I like the strategy. Feel free to ask questions.
I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better) During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets. Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
I am words on your screen. You cannot trust me. I could have edited this or literally just typed random numbers on a spreadsheet. Do your own research if you want to trust my conclusion.
Even if you trust me, you need to do backtesting for yourself. The goal of backtesting isn't simply to figure out whether a strategy has an edge: it's a way to get used to how the market flows (valuable experience you will bring on to any other strategy) and how the strategy behaves. You need to see it with your own eyes to allow your subconscious mind to be at ease when it comes time to trade it live: the only way to truly trust your strategy during a period of drawdown, is to have seen it work over hundreds of trades in the past.
Strategy I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here. As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
The first at the 23.6 retracement.
The second at the 38.2 retracement.
Both orders have a stop loss at the 78.6 retracement.
Both orders have the same target at the -100.0 extension.
If price moves to the -38.2 extension, I delete any unfilled orders.
I do not scale out, I do not move to breakeven, I place my orders and walk away.
Sample I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes. My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs. Units of measure I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that). Results I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up. Overall results: R Curve and Segmented performance. List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades. For reference:
Profit Factor: 2.34
Return: 100.47 R
Strike rate: 48.28%
Average win: 2.51 R
Average loss: -1.00 R
Thoughts Nice. I'll keep testing. As of now it is vastly better than my current strategy.
TODAY’S US DOLLAR USD WEAKNESS AND LIVE FOREX TRADING SIGNALS
Today in the main session forex trading the USD was weak on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The AUD/USD and NZD/USD moved up on the H1 time frames. Both pairs are inside of resistance levels on the D1 time frame. So scale out lots or exit these trades. The AUD/USD has additional upside to the 0.7300 resistance area. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com. Click on link below for more info:
TODAY’S CANADIAN DOLLAR CAD STRENGTH AND LIVE FOREX TRADING SIGNALS
Today in the main session forex trading the CAD was strong on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The CAD/CHF moved higher on the H1 time frame. This pair is range bound so we consider this to be a short term buy. Traders should exit any short term buys on this pair. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com. CLick on the link for more information:
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
TODAY’S AUSTRALIAN DOLLAR AUD WEAKNESS AND LIVE FOREX TRADING SIGNALS
Today in the main session forex trading the AUD was weak on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The AUD/USD dropped on the H1 time frame, this pair is still inside support levels and has not broken the main support to be in a strong downtrend, so scale out lots on any sells. The GBP/AUD also moved up on the H1 time frame, this pair should continue to the 1.8500 area resistance. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com. Click on the linkbelow for more information:
Currency Strength Meter For Accurate Real Time Trade Entries
Forexearlywarning has an accurate, ready to use currency strength meter for 8 currencies and 28 pairs. No programming, server based with backup system and 0.01% precision, full tutorial. Your forex trade entries accuracy will improve substantially with this great meter. Click on this link for full details:
TODAY’S US DOLLAR USD WEAKNESS AND LIVE FOREX TRADING SIGNALS
Today in the main session forex trading the USD was weak on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The NZD/USD moved higher on the H4 time frame and this pair is breaking one resistance level. It has additional upside to the 0.6770 resistance area. The AUD/USD also moved higher on the H4 time frame. It has more potential to the 0.7315 resistance area. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com. See Link Below
I need to decide if it's worth investing time to get this system profitable on lower time frames or just focus on D1
Still need to work on improving the signal quality + win rate
Experiment with other parameters and trade management strategies
Run algo tests with universe of all 28 pairs
Tools For those interested, here's some details on my workflow/tools. The algorithm is implemented in C# on LEAN. One downside of this is that it doesn't come with any charting capabilities. For now, I'm generating TradingView indicators from my test data to plot trades in TradingView. From here, I'll look through the trades and come up with ideas for optimizations. I use Jupyter Notebooks+Python+pandas to analyze the data generated by the algo and do some experimentation with ideas here.
In this illustrated article we will show forex traders a live currency strength indicator for managing trade entries. We will also show traders how to set up some simple trend indicators for currency strength assessment based on market trends. Both systems work for 8 currencies and 28 pairs. Here is the article:
Weekly Update: The Parachute culture, $COTI on Gate.io, Pynk crowdfunding campaign live, Voyager + Sterling Trading Tech…– 22 May - 28 May'20
Heyo! Continuing with our six-part catch up series to get up to date on the May and June news from Parachute and partners, here’s Part II of VI (22 May - 28 May'20): If you're in crypto, there's often the random pump/moon/wenBinance talk that props up from time to time in groups. Especially, when someone new joins a project and is unfamiliar with the community culture. At Parachute, we have always made it a point to have more meaningful discussions than price. Cap shared some of his thoughts on this as well. For the #culturalweekend prompt this week, Jason got Parachuters to share about “something weird your family does that is a tradition for them but not a traditional tradition”. Peace Love’s Big Trivia in TTR was quite fun as always. The beta testing group for ParJar swaps was set up this week. Also, Chris organised something amazing this week which will possibly remain a secret amongst Parachute admins (and Doc Vic 😊 ). But if word of it ever goes out, you’ll realise why Parachute is the most wholesome project in all of crypto. Chris also gave out some cool $PAR to folks in the Parachute channel to talk about "something that you didn't spend much money on that had a big impact on your quality of life". This week's Two-for-Tuesday featured music from "female artists, including bands with at least one female member". Click here for the playlist. Thanks Sebastian! Some good cheer from Alexis all the way from Germany aXpire’s May recap video covers product updates from Bilr, PayBX etc. To track this week’s 20k $AXPR burn, click here. The team also shared success strategies for law firms. 2gether co-founder Salvador Casquero wrote about best security practices in finance. A new update was pushed to Wednesday Coin’s dApp, WednesdayClub. In this week’s XIO discussions, Citizens talked about ideal time allocation strategies for research and execution. Top Citizens on the Leaderboard stand a chance to win some cool merch. Also, watch out for pesky scams. Voyager announced a partnership with Sterling Trading Tech to launch a crypto trading widget. Proactive Investors covered Voyager in its latest piece chronicling their growing user base. As mentioned in a previous update, CEO Stephen Ehrlich’s crypto investment webinar happened this week. Switch crew did a community AMA just before the $GHOST airdrop snapshot. The team expanded with new dev hires. In preparation for the $GHOST airdrop, ProBit completed its $VSF:$ESH swap and Stex announced support for $ESH/$GHOST airdrop. $ESH was listed on HitBTC and Changelly. Folks who guessed these exchanges correctly won some tokens as well. Founder Josh Case sat down with Mr. Backwards for an interview. Among several updates to the Ghost website, a staking calculator was added. Click here to read the latest technical update from Fantom. $FTM was in the running to be added as a collateral for DAI. Congratulations to Uptrennd for becoming the highest ranked blockchain-based social media platform as per Alexa. They started a SmartLink campaign with 2key Network. The first Uptrennd halvening went live this week. The team is reachable on Discord from now as well. District0x’s latest District Weekly and Dev Updates can be read here and here respectively. Hydro team shared their thoughts on how virtual cards for independent contractors (otherwise referred to as 1099 employees) could improve reimbursement practices. Entries for their Decentralization Ambassador program were opened this week. These look great, XIO team This is what is planned for the GHOST ecosystem currently SelfKey compiled a master list of crypto lending platforms. The Loans Marketplace will feature many of these. Full transcript of the May 12th AMA was released. SelfKey advisor Edmund Lowell spoke at the BlockConf DIGITAL conference this week. Mongolian exchange AIS-X joined the Exchange Marketplace. Pynk’s crowdfunding campaign on Seedrs went live this week. Check out their campaign video here. Amazing production! Plus, this cool feature in City A.M. was the perfect way to close off the week. Wibson hosted a meetup (online of course!) for its Spanish speaking community this week. The crew also introduced the app at an Ethereum event in Buenos Aires. Harmony burned all mainnet tokens mined before Open Staking going public. The latest staking stats and validator data can be seen here and here respectively. That’s right, 3B+ $ONE is already staked. Woohoo! With its latest CoinDCX listing, $ONE got its first INR trading pair. Saweet! The major improvement proposals that were discussed with the community this week were making Open Staking more decentralized and creating a more liquid staking market. This led to the first release after Open Staking. The winners of the effective-median-stake contest were announced. Hope you got a chance to take part in the Flash Quiz. Do you know about all the projects that have been built in the Harmony ecosystem? Here’s a rundown. The team hosted an AMA as well. BitMax changed some of its rules for $ONE staking. Check out COTI’s latest network growth stats here. And super congratulations on winning the Gate.io listing vote! $COTI was also added to Binance’s Locked Savings staking program. Broking platform Troy Trade partnered with COTI to improve its scalability. DoYourTip’s $DYT now has 2500+ HODLers. Neat! Mycro was invited to join BitForex’s app platform CAPP Town. GET Protocol’s GUTS Tickets was covered in Cryptogeeks’ latest blogpost on blockchain-based ticketing. And with that, it’s a wrap for this week in Parachute and partners! See you again with another update. Cheerio!
Open EUUSD position according to the euro-area PMI data
Financial markets base on mathematics. The divergence in the economic growth, having supported the EUUSD bulls during the summer, looked like an equation with one unknown. A better epidemiological situation in Europe than in the USA has almost convinced investors that the euro-area economy will be recovering faster than the US GDP. As a result, the rise of the major currency pair depended on the US economic data. A better economic performance, together with the Fed’s unwillingness to ease its monetary policy (which signals hidden optimism), sent the euro down to $1.18. However, once there appeared some negative, the euro bulls went ahead. The US jobless claims are again back to a level of above 1 million, the manufacturing PMI data reported by the New York Fed and Philadelphia Fed are weak. These reports show that the US economy is not revering as rapidly as the dollar buyers would like. I have many times stressed that the market turns out to be more fundamental amid the interest rates of the world’s leading central banks, which are close to zero. Investors are quite responsive to the reports on the US domestic data, especially since the US economy has been that unknown in the growth- gap equation. The experts’ projections for the euro-area economy have been optimistic. In my opinion, too optimistic. Since the French-German stimulus plan was adopted, the euro risk reversals have been up by 60-80 basis points. The indicator has increased so rapidly only three times since the records began in 2006, and each time, the EUUSD was up by 5% and more in a few net months. There is an increased demand in the options market for call options with strikes of 1.22, 1.23, 1.25, and even 1.28.
Demand for euro-dollar options
Source: Bloomberg Investors completely forgot that an equation with one unknown could transform at any moment into an equation with two unknowns. In Europe, the second wave of the pandemic unfolding. In Spain, about 4,800 new COVID-19 cases are registered per day, which is the highest since April; in France, the number of coronavirus cases has increased by 50% in a week, in Germany, the figure has exceeded 1,500, the highest since early May. Yes, European relative indicators still fall short of the US, where 150 cases for 1 million of the population (in problematic Spain, there are 110 cases for 1 million), Yes, most infected are young people. Hence, the number of hospitalizations and deaths is small, but who knows how the situation will develop further? The difficulties will increase amid the expiration of programs to retain the non-working population in the labor force, which could result in a surge in unemployment and weigh on the consumer activity. The ECB stressed this problem at its July meeting, the central bank is willing to expand QE if necessary. It is a bearish factor for the EUUSD, but traders ignored it. The euphoria about the euro is still present and could end up bad for the euro buyers. The uncertainty about the euro-area economic recovery increases the risk that the euro will roll down to $1.18 if the euro-area PMI data for August are weak. For more information follow the link to the website of the LiteForex https://www.liteforex.com/blog/analysts-opinions/eurusd-forecast-euro-took-up-math/?uid=285861726&cid=79634
TODAY’S JPY WEAKNESS AND LIVE FOREX TRADING SIGNALS
Today in the main session forex trading the JPY was weak on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The CAD/JPY moved up on the H4 time frame. It is hitting some resistance now, but could continue to the 81.00 area or higher if the D1 trend improves. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com. Click on the Link Below:
Hello, I've been testing forex strategies now for about 3-4 months using expert advisors. So that my testing is as rigorous as I can make it I've used all 28 major pairs over the past 10 years to backtest and for the ones that seemed to work alright I recorded their profits on each year to get a view of the drawdown. As a quick note, the only strategies that were at all profitable were on H4 and Daily TF minimum (although H4 experienced larger drawdown and volatility) and risked a maximum of 2% per trade (normally less than 1%). In total, I've tested probably over a hundred strategies now and several hundred indicators as well (I got into this through no-nonsense forex) yet out of those I only have found a single strategy that is consistently profitable on a yearly basis and that still can have quite bad drawdown periods. So I am confused because (except for some chart patterns that would be hard to program) I have tested most of the strategies that I've seen other people using and they don't seem to work, so I'm not sure how people are turning profits. TLDR I can't tell how anyone is making money when almost all the strategies that I've tested just don't work
My writing is not great, so hang in there. Also, long post. On Feb 28 2020 I set up an account on Oanda to begin my Forex journey. A friend of mine got me into the idea, saying he has been working with his dad that does this fool* time and it's a great way to make money. "I'm no dumbo and follow wall-street bets" I says, but he assured me THIS was different. I did some basic research (youtube) and thought to myself, heck, it's money up or down. That's tight. I came into looking to make a little bit of money, not an astronomical amount. I have a full-time job and two kids, so I'm not looking to end up homeless. I started my account with $1k seed, and the plan was make the $1k seed money back, pull that out, and have new $1k to play with. I thought I would achieve this goal in perhaps two months time. Starting out the trades I have made has been conservative, in units of 300-500. The very first trade I made was EUJPY @ 100 units. I lost $0.40. It was magical. I had no idea what exactly was happening and the entire dashboard was crazy looking to me. I decided then that I really wanted to learn and I took seriously to the research that I was doing. I quickly found out that the news was a great tool in making market decisions. Looking at the history of currency pairs could also aid one in making informed decisions. At this moment I made my first self rule: Make informed and guesstimated trade decisions. I started to journal my trades and the ideas behind making these decisions. This gave me the feedback I needed when a trade went right or wrong for me. I could go back and understand why I did that, instead of just guessing. This also held me accountable for making informed decisions, going back to rule 1. Rule 2 came shortly after that. I was given a recommendation on a pair to go long on a pair. I looked at the data and my head said nah, don't do that. But I thought to myself, well his dad has been doing this fool* time so let's go for it. Big mistake there. That was my first true loss. Up until this point I had only taken small losses in the form of cents. This was my first double digit loss. It hurt, but not a whole lot. Rule 2: Don't blindly follow. Make your own decisions. Two weeks have gone by and I had made $1000.00! I got my seed money back! I was feeling good and put in my first big order, 10,000 units short on USD/JPY. BIG HIT of $300+. I was sky high. I did it again alllllll the way at the bottom of what I just closed at. The next morning was rude to me. I woke up with -$400 going against me. I panicked and took the L and started panic buying trying just to make up a little bit of lost cash. I kept digging myself deeper. At the end of the day I lost around $500. I took a day or two off from that and I made my third rule: Don't panic sell or buy. I regained my composure and studied what I felt and why I reacted the way I did. To understand that the market can move against you is fine, and if I had stuck to rule 1 of informed trades, I would have been fine. Shortly after I had a 60.000 unit USD/CAD long hit -$800. This time I did not panic and I continued about my business. That ended up being on of the most profitable trades I have had, all thanks to Rule 3: Don't panic. My last (so far) rule was born from the deadly sin of greed. That bastard; he was hard to kill. Seeing those dollar signs go up, up, up and way is so exciting. And then physics happens. Too often have I found myself in the situation of being able to make the same trade multiple times just because of the swing. This doesn't happen all the time and you can't really know if it is going to happen, but sometimes it's pretty easy to see. Rule 4: Take the profit. Now, I sell when I feel like I need to sell. If my gut says end it, I end it. I don't have remorse if I end a trade early. I came out with money I never had and I didn't lose money I never had either. Win/Win. It is now 2 days away from being a month since I started trading. In that amount of time I have ended up with a Realized P/L of $3,036.55 at the time of writing this post. I am not writing this to brag or to look for high-fives and pats on the back. I am not naive that all of this can go very wrong with one click of a button. But I am proud of myself and at the fact that perhaps this could become my side-hustle in conjunction with my full-time job. I am still making rules for myself and still have a lot to learn. Happy trading, space cowboy.
forex 28 pairs list – Vantage Point Trading Pairs to Trade and Setting Up . 200 Pips pro Stunde Tageslicht von diesem besten Forex-System Grüße, Händler, was spielst du heute? Ich hoffe, Sie alle sind immer am Ende Ihrer Gesundheit und erzielen weiterhin konsequent Forex-Gewinne. So I've been doing some scalping on pairs with high spreads in cryptocurrencies previously with great success, but I finally figured I'd give forex a real shot (was into it a few years ago, but didn't go live). Last time I scalped in crypto, I had 14 out of 14 successful trades, but only about a 10% profit. I haven't heard about anyone scalping the way I do in crypto, but I find my method ... r/Forex: Your Forex Trading community! /r/Forex is for traders who are serious about sharpening their skills and becoming consistently profitable in … All 28 pairs can trend up and down for days, weeks or months. Similarly, all 28 pairs, including the forex major pairs, can become choppy and difficult to trade, or oscillate in wide, trade-able ranges. As a forex trader we are looking for trending pairs that we can enter a trade with, then ride the trend up and down for long cycles, but we can ... Range Trading Strategy For 28 Forex Pairs . When the forex market is not trending strong up or down, you can use range trading strategies presented in this article to profitably trade the forex market. If you analyze the forex market using multiple time frame analysis, the pairs that are ranging and cycling up and down will be easy to spot, because multiple time frames analysis is so thorough ... In this article, we will give forex traders a comprehensive guide on how to enter forex trades and manage them across 8 currencies and 28 currency pairs. We will show forex traders how to identify new or existing trends on the higher time frames, H4 and larger. We will also show traders how to assess the pip potential of each trade, give them ... 28 major currency pairs represent a system that includes a combination of eight currencies. 21 of these pairs represent exotic pairs that do not include the USD either on the left or right side of the pair. These are the EUR/JPY or AUD/CAD. The most-traded exotic pairs are the EUR/JPY and EUR/GBP.
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