A Forex Candlestick Patterns Strategy – Trading the Large Body Candlestick Pattern

candle body articleIn today’s article, I am going to kick off my new series on Forex strategy analysis.

That’s where I take trade ideas, concepts, or strategies out there in the Forex wild, do some data mining, show some cool graphs, hunt for correlations, and try spot any statistical hot spots we can exploit for $$$.

Basically does the strategy work or not? If so, where is it working, and where is it not?

If the data demonstrates some statistical edges, we run the strategy through a trading robot back test to simulate how they would perform.

Note:

Free Forex robot included at the end, so you can run your tests!

Since this is my first candlestick pattern strategy evaluation, I wanted to focus on something really really simple – the candle body.

­čĄö Does the candle body thickness have predictive powers? Can it give us an edge?

Let’s dive in and do some deep, but fun analysis on the candle body’s secrets.

 

The Candlestick Body “Chart Pattern” Strategy Explained

Quite a few years ago, browsing a Forex forum – I came across a group of price action traders who only used the candle body to make a trading decision.

  • If a candle closed bullish: they were long
  • If a candle closed bearish: sells were opened

This kind of strategy seems really stupid simple, and probably is one of the simplest candlestick strategy ideas out there.

Trading the strategy with such simple rules would straight up, not work at all – the success would be very hit and miss depending on market volatility.

This concept is missing one thing, some quality control. The market is not going to just let you profit off the direction of the candle close in the long run.

For example; Imagine using these rules in heavy consolidation, you would be flipping trades every day with building frustration.

But, there may be some merit to the idea if we introduce some other metrics and rules.

The theory goes like this: When you see a candle with a large, thick body – you generally do see good follow-through from price in the same direction.

A picture says it all… here is an overview of the success condition we are trying to measure:

candlestick body strategy outline

Basically we want to know if a candle closes with a bullish body, what is the percentage chance we will see a higher close before a lower close.

Our stop loss for the experiment will be placed at the opposite end of the candle.

In other words, to be considered a bullish signal success, a candle must close past the ‘signal candle’ high before a candle breaks the opposite side.

Invert those rules for bearish conditions.

If a candle closes bearish, what percentage chance are we likely to see the lower close first.

Candles closing inside the ‘signal’ candle’s range are are ‘null’ event. We wait for either that explicit higher close, or lower close (past the signal candle’s range).

Lets check out how that looks in theory on the charts…

candle body bullish concept

Above: In a bull run, this idea would thrive. A nice stack of bullish bodied candles would create a burst of lucrative trading.

The same goes for bearish runs…

candle body bearishconcept

A nice bearish waterfall would bring the profits up quickly.

But these are the text-book conditions for this strategy. How often can we expect these ‘picture perfect’ scenarios to pop up, and when are we going to know they will happen? – we don’t.

We can’t rely on being carried by a huge market rally every day.

That’s why it is important to start introducing some quality control metrics to be able to filter the good from the bad!

 

The Size of the Candle Body

measuring candlestick sizeOne of the obvious, first measurements we can observe is how the candle body’s size effects the success / failure of the signal.

The body size should be a big deal – imagine a small doji candle vs a big thick bodied power candle. The difference between the two (I would imagine) would be quite dramatic – but you never know…

But what are we going to compare it with? We can’t measure body size against a hard set number, like body size compared to 300 pips.

The average trading range between markets changes dramatically. Gold can move 2000 points a session, making the static pip measurement a bogus reference.

But ahh… the Average Trading Range (ATR)!

We can measure the candle’s body size against the current Average Trading Range’s value.

That way we have a relative metric to measure the body size against which adjusts to market conditions.

If the market is pushing out some big candles, then the ATR will scale up and also scale down in slow conditions.

I decided to measure the candle’s body size vs the ATR as a percentage.┬á Let’s consider the ATR was 50 pips:

  • If the candle body measured 50 pips, then the percentage would be 100%. Because the candle body is 100% the size of the ATR
  • If the candle body measured 25 pips, that’s 50% of the ATR
  • If the candle body measured 80 pips, that’s 160% of the ATR – representing a candle body that is larger than the current volatility

Alright so lets show some graphs.

Below is a success/failed histogram which illustrates the data with clarity.

The x-axis shows how the body size Vs ATR (20 period) affects the signal performance. Here is an example…

example body experiment graph

The bottom graph is my nicely color coded ‘probabilities histogram’ showing us where the strong advantages are in the data (if they exist).

Going by this graph, it seems there is a clear edge when the body size is above 85% of the ATR. However, if we look at the success/fail histogram above, we can see there are not many trades above 130%.

So the opportunity seems to be between 85-120% of the ATR.

But I’ve also added another observation on the chart, which is the ‘profitability threshold’.

When the bars are above the threshold, the system as a chance to do make money – the further above the line, the more likely it is to make money over the long term.

It uses the average return on risk for each bin range on the x-axis to establish how each x value range (the body size of the candle vs the ATR) affects profitability.

This example chart doesn’t look healthy, with most bars falling below the profit line (you can also think about this line as a ‘break even marker’).

Wait! Don’t throw down the hammer and make conclusions just yet – this is only the GBPUSD… there are many other markets to run the data on. Not only that, this is the 6 hour time frame – what about the other time frames?

I decided to include most of the swing trading time frames:

  • 1 hour
  • 4 hour
  • 6 hour
  • 8 hour
  • 12 hour
  • Daily

I also threw in the 15 min chart to satisfy the high frequency junkies (day traders) out there. I personally hate those lower time frames, but I will let the data do the talking..

For markets to run this strategy on, I picked a handful of different markets to save time on the data mining process (I would be here forever processing every single market & time frame variant).

  • EURUSD
  • GBPUSD
  • AUDUSD
  • EURJPY
  • GBPNZD
  • AUDNZD
  • EURGBP
  • GOLD
  • Crude Oil
  • S&P

Every Forex strategy will perform differently on individual markets. A strategy could be a big winner on EURUSD, but wipe an account on GBPNZD.

This spread of market will provide a nice variety, and a good idea on how the strategy performs across our ‘test basket’ of markets for a ‘general performance’ metric – we can always test on more instruments if the results are promising.

So let’s look at some graphs …

 

Raw Candlestick Body Size Vs ATR Performance

To avoid bloating the article with 100’s of graphs, we can consolidate data groups together to see if any nice metrics pop out at us. If they do, we can get more granular.

As I mentioned before I included the 15 min time frame… so lets start from the bottom.

Not expecting much magic from this low time frame data to be brutally honest with you.

Below is the consolidated 15 min data of all the test symbols to highlight the candlestick pattern strategy performance across the board.

all symbols 15 min base performance

As expected a poor result.

None of the candle body sizes are able to make it over the profitability line.

One correlation visible here is that the success chance increases as the body size of the candle gets higher.

You might be thinking: “Wait I see 60-70% win rates”. That’s true, the trades are hitting the ‘success condition’ frequently, but the reward is poor vs the risk taken.

Meaning each failed trade becomes very punishing to the system.

What about the 1 hour ?

all symbols 1h base performance

Not really much going on for 1 hour either.

The 1 hour chart is not easy to trade anyway, the candles still don’t have much price action data within them.

Stepping it up a notch to the 4 – 6 hour range…

all symbols 4h - 6h base performance

Only negligible improvements.

The candle body really needs to be 135% of the ATR to be able to flirt with the break even mark.

Finally, my favorite swing trading time frames – the 8H to daily charts…

all symbols 8h - D1-base performance

Honestly I thought we would see some improvement here, however this data is really disappointing too.

The best of the worst seems to be the 4-6 hour range when the candle body is above 115% of the ATR.

For fun, lets run through a few back test results, and observe how the equity curve looks like on that data range.

Starting from the bottom, here at some 15 min time frame results…

15 min base results

Setting the minimum candle body size of 160%, as that was the only range that came close to the profitability line on the performance graphs.

As you can see the 15 min chart results would have brought tears to a grown man’s face if you let this system run on your live account.

Total trash results. The performance graphs shown earlier anticipated this.

Moving along to some 6 hour time frame figures. I am not showing every single symbol otherwise the article will be too bloated.

The min ATR was set to 115% this time, as the performance evaluation charts showed this is were the best performance started to kick in.

6 hour base performance

Sideways results as expected, as the performance charts implied this would happen.

None of the bars on the 6 hour data chart really cleared the profitability line, so break even was the best case scenario here.

Moving along to the daily – where I would usually expect cleaner results…

daily base performance

The daily results were the most stable so far, but still nothing to get excited about!

However, there was this one…

eurusd daily results with min input 115

The EURUSD daily output was a pretty damn good equity curve. Just a candle body trader with a min input of 115% makes money ­čś« !

Buzzkill: 10% account gain over the 3 year trading period isn’t impressive. Even though it turned a profit – it was a very slow snail system.

So what can we take away here…?

Checkpoint

One clear correlation in the data is the larger the candle body size, the higher chance we get to a trade success condition (a higher or lower close).

Although we have high win rates, the reward output is so bad for each trade, we can’t get over that profitability threshold – causing stop outs in the system to be so destructive and therefore consuming all rewards + more.

This system is not viable with these very simple rules, even though the special case of EURUSD made a profit, it was still a very slow crawl with a few 6 month periods of no profits.

 

Introducing Moving Average Filters To A Candlestick Pattern Strategy

filtering the candlestick patterns strategy with a moving averageNow that we have established a ‘baseline’ for this experiment, we can try adding filters to see if they improve performance.

The moving average filter is the ‘go-to’ starter kit for a simple trend filter – attempting to scrub out bad trades, and let the good trades ‘with momentum’ bubble up as quality trade signals.

The simple rules:

  • Bullish signals that form above the moving average = pass
  • Bearish signals that form below the moving average = pass
  • Anything else is filtered out

I collected data on a nice range of exponential moving averages: 10, 20, 33, 50, 65, 100, 200.

I built a special performance comparison graph to help evaluate how effective the EMA filters are on the system.

The 20 EMA = usually a good medium term momentum filter. I also use it in my day to day trading – so I was interested to see what effect it would have here…

First run is through the 15 min data to output what performance change we would see with the 20 EMA filter added…

15min 20 ema effect on the candle body strategy

The conclusive graph here is the % Change bar chart in the top right.

This will tell us what effect the filter had on overall performance. In this case, hardly anything.

In fact, those slightly negative red bars, indicate the 20 EMA made the performance slightly worse than the baseline performance.

Let’s run the 8 hour to daily range data…

8h D1 20 ema effect on the candle body strategy

Some tiny bleeps on the radar, but overall a null effect.

This initial data is strongly suggesting the EMA filter does nothing to help the performance of this Forex candlestick strategy.

At this point, I thought it would be too boring to continue with posting individual performance graphs for every single EMA / time frame set.

To get more of a ‘birds eye view’ of how they effect performance, I designed this line graph below which has a lot more bottom line data crammed into one chart.

I only ran the 15 min data test on the GBPUSD as the re-running of the data mining for all these EMAs, for every pair is was too time consuming.

Moving average comparison 15 min

This is a measurement of 0-100 % of how much each EMA boosted, or harmed performance on each EMA period applied.

You can see very quickly there was no response from any of them!

What about on the higher time frames…?

ema comparison-8h - d1 min

Only some minimal boosts when the body size is over 150% of the ATR.

To be honest I was surprised to see such little effect out of the EMA filters.

This simple approach to trend filtering is used widely in the Forex world – so thinking forward for future tests, it will be very interesting to see if this is even a valid┬á filtering approach at all.

Checkpoint

Surprisingly the exponential moving average’s ‘trend filtering powers’ do nothing to help boost performance in this strategy. We’ve thrown a large range of calculations periods, scaling from short term, medium, and longer term EMAs – but they all having a null effect, some even producing negative results… what!

 

Candlestick Swing Highest / Lowest Filter

I usually just call this the swing filter.

Basically we want to check the candle’s high or low price to see where it fits within the surrounding candles.

We’re measuring these points to see how many candle highs our signal candle is higher than, or how many lows the signal candle is lower than.

A quick picture to demonstrate…

swing highest lowest filter explained

What I am measuring here is if the candle is sitting on a swing high, or swing low – if so, how significant is it?

A measurement of 1 means the candle is not on a swing high or low.

I also measure with these rules:

  • If the trade is bullish, measure the swing low significance
  • If the trade is bearish, measure the swing high significance

Why? Because I am trying to filter trades sitting on lower highs in a bearish market (after a bullish correction), and in a bullish market, measuring swing lows (after a bearish correction).

For swing traders, this is a valuable measurement.

Generally you would want a swing value of at least 3.

That communicates the candle has the highest high, or lowest low within the last 3 candles.

If we apply a swing filter value of 3 to this system, we get these performance responses…

swing filter 3 15m

Above is the 15 min data, and how a swing filter of 3 affects the performance.

One striking piece of data that pops out is the number of trades filtered out. The bottom right chart shows how many trades were taken without and with the filter.

So we’re suppressing a lot of trades! It seems to be worth it, look at the chart above it.

We’re getting 10-20% boosts in performance, which leads me onto the performance graphs on the left side.

Top shows the original, bottom shows the performance with the swing filter.

We can see some of the body size ranges pushing performance bars over the profitability line. Curious to see how it looks in a back test…

swing filter gbpusd 15 m comparison

Above is a comparison back test on the GBPUSD 15 min chart.

Without any filters the system tanks pretty quickly, diving the account to $0 over the last part of 2015.

When we add the swing filter, the system doesn’t make us rich – but it does get a massive survival boost, and there is no account meltdown!

A simple swing filter stopped the account diving to $0 and also managed to hold ground until the end of the test period (3 years).

In conclusion the filter is having a dramatic effect on performance, but not enough to crank it into the profitability range.

So what happens when we run it on some higher time frames..?

GBPUSD 8h swing filter comparison

Comparing with and without filter tests on the GBPUSD doesn’t show anything impressive at all.

In fact the filter seems too strong in this context, with the filtered back test only taking a total of about 30 trades over the 3 year period.

The other higher time frames displayed similar results.

Checkpoint

The Swing Filter showed massive filtering effects in the lower time frame tests, but on the higher time frames it filtered out the signals too heavily. This could be because this candle body signal system is not producing any high quality trades to begin with, so the swing filter scrubs out almost all of the signals. I believe the swing filter has a lot of potential, but not in the context of a system packing an extremely bad baseline (unfiltered), performance .

 

Conclusions for this Forex Candle Strategy

ralph eating moneyThis Forex candlestick pattern strategy is probably one of the most simple candlestick strategies you could think of, so my expectations were not high.

The data does show – the larger the candle body size, the more likely a higher, or lower close will follow.

Baseline back tests didn’t produce the ‘holy grail’ equity curve we dream of, but nor did we expect it too.

Throwing some filters on the system and evaluating their performance didn’t produce anything exciting either.

It was surprising to see all moving averages having zero effect on performance though!

That one back test on the EURUSD showed a nice equity curve… so there might be others in there.

I’ve included below a Forex robot for MT4 & 5 designed to trade this strategy – with the ability to customize a lot of the inputs. You might find some other markets which produce interesting results.

For my first strategy analysis, I think I will stamp this strategy ‘not practical’.

If you liked this kind of strategy analysis content, please let me know in the comments – so I know whether to continue publishing more tests!

I have a lot of ideas we can test, but there are 1000’s of strategies out there – so also in the comments below you can also let me know your thoughts on:

  • Other mechanical strategies to test
  • Trade Filter ideas

Thanks very much and look forward to reading your feedback.

Best of luck on the charts!

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Disclaimer: These EA's are not guaranteed to make you money. They are available to download for educational/experimental purposes only. They will however work as a fully functional trading robot on a live account - so use at your own discretion.

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28 Comments...


  1. Tim van Niekerk comment display photo
    Tim van Niekerk
    Great article Dale. There are a lot of good mechanical strategies out there that work well with some human intervention. For example, I use a 15 min TF, 13 EMA to trade close above or below the EMA depending on the higher TF structure(4 hr & Daily) and trend. I close the trade on a 30 pip target or a rejection candle forming, not on a close past the EMA. Sometimes the trade runs well past 30 pips. If this could be automated with the option to intervene, I recon this would make a great EA.Cheers, Tim
    1. Dale Woods comment display photo
      Dale Woods
      This could be put to the test in the future. So is your trade signal the candle which closes over or under the 13 EMA? You would need to specify more detailed criteria, like how many candles need to be on one side of the 13 EMA before we are allowed to consider a candle cross signal.

  2. Andromeda comment display photo
    Andromeda
    Nice work Maestro
    1. Dale Woods comment display photo
      Dale Woods
      Thanks Dave!

  3. Diego comment display photo
    Diego
    Thank You Dale!!!

  4. Mags comment display photo
    Mags
    Great work Dale, appreciate the effort. I think i will stick to the basics and use your Forex course ideas . Longer term is much less riskier and easier on the mind as long as we follow the rules. The trading psychology and being in the zone i think are the most important aspects of trading . we need to master that and success will follow.

  5. Thabelo Steve comment display photo
    Thabelo Steve
    Nice and very helpful as always, thank you very much for this article and for the MT4 tools too ;)...

  6. Vito comment display photo
    Vito
    Excellent article, definitelly worth reading despite the conlusion for this particular strategy. I've learnt something new just by folowing your backtesting process and your way of adjusting the strategy. Looking forward your next article!

  7. Emenyke O comment display photo
    Emenyke O
    Hi Dale, I like the concept of picking a strategy and subjecting it to different sorts of tests and filters, backtesting and checking its performance. Its a different content to what we see out there. The internet is littered with so many theoretical content that rarely adds value to one's trading. This content though long, I enjoyed it very much. I look forward to your next strategy analysis. Please don't stay away for too long next time

  8. gio scott comment display photo
    gio scott
    Thank you Dale, I love to see strategies debunked by hard data, perhaps you could do one on long tail pin bars. Cheers
    1. Dale Woods comment display photo
      Dale Woods
      That's a tough one, because it's hard to quantify to a computer program what is / isn't support and resistance. We can do some tests though.

  9. turki comment display photo
    turki
    I think it is very good idea in the right directionthanks a lot for this articlewe all with you in this journey

  10. turki comment display photo
    turki
    i dont know if you can make the ea open to test any strategyi have strategy with aroon and cci i want to testwhen cci above 100 and +aroon above 70 and -aroon below 30 you go longthe opposite for short

  11. Emmanuel Adu comment display photo
    Emmanuel Adu
    Thank you so much for this insight. we are very grateful. please can you help with more insight about Renko trading Strategy?

  12. Henry Knight comment display photo
    Henry Knight
    Hmmmm ... Very interesting, I enjoyed reading your analysis, I think your stats bear out the fact this is not high profit strategy, more a scalping strategy for the very brave, in and out for quick profit, with increased volume price and lowering pip expectation, total opposite to what I would what from a trade.Thank you for the insight, the factual information provided in your report, informs me that this strategy is definitely not my cup of tea.Keep up the good work much appreciated.

  13. Steve Epperson comment display photo
    Steve Epperson
    Nice to hear from you again, Dale. It's been a while. I'm glad to see you still teaching.The "large candle close" strategy is often touted by author Al Brooks. He uses it in his 5 min. scalp trading on the E-mini S&P 500. He calls it "buy the close bull/sell the close bear." I agree with him that it is a solid scalping strategy for everything except FOREX. Unfortunately, because of the uncertainty with trade wars looming over our heads, FOREX traders have had to resort to trading lower time frames just to see any movement whatsoever.Best to trade other instruments and use FOREX as a fantastic learning tool. Just my opinion.
    1. Dale Woods comment display photo
      Dale Woods
      Well the data does lie, I've even includes the robot so you can test it on the lower time frames.But the strategy performs really bad on low time frames. I think the stop loss placement is the biggest killer because it destroys the risk/reward profile.

  14. jessie comment display photo
    jessie
    great stuff dale very interesting.... i said it before and i will say it again i love the attention to detail lol

  15. Ahmad comment display photo
    Ahmad
    Lets dance the trade using this indy.. good

  16. Inderjeet comment display photo
    Inderjeet
    dale very nice work to help us Dale if you have backtesting system please try renko candle 10 pip box size with ichimoku i think it is very profitable but i have no backtester so plz try itYou try it with wicks and stop loss 3 pips below on signal candleYou try it one time with 50%retracement Please try it 1 to 1 risk rewards , 1 to 2 rewards then try this system with 1 to opposite colour candle rewards when you test this strategy please if it give us profits please write one more article on this because i think it give is very good profits thankx

  17. Ramli comment display photo
    Ramli
    Thank You. Dale

  18. Ogopoleng comment display photo
    Ogopoleng
    Thanks Dale,Very insightful article

  19. Syaifur Rizal comment display photo
    Syaifur Rizal
    Big candle work. If we see big candle in daily, just go to lower timeframe like H4 or H1. See if the price move far away from 20 EMA and buy/sell for correction. SL at near supply/demand and TP at near supply/demand. It best if supply/demand align with support/resistant. Not a big pips, but decent for scalping.Btw, I can't wait to see your new live trading in YouTube.Thanks.

  20. Topcat comment display photo
    Topcat
    Wow! That is some evaluation and although it hasn't found the so called holy grail it has proved that the human touch is extremely important. I have seen many strategies using all sorts of indicators and filters and conclude that the price action on the chart ie: structure tells you where the market is going. Big moves and large candles are the result of commercial/smart money involvement, my thinking, and not the retail traders actions. A system that detects institutional activity could be useful, keep the bunsen burners fired up dale. Seek and you will find lol. As always your tireless efforts are greatly appreciated.

  21. Pali comment display photo
    Pali
    Good work Dale.. Please keep posting your researches here.

  22. Abner comment display photo
    Abner
    Top analisys!

  23. Boris comment display photo
    Boris
    Amazing work. The length you goto is astonishing.

  24. Adabi comment display photo
    Adabi
    Maybe I missed something out, but that this strategy does not work is not totally true. As we can see above there are some equity curves going straight south, i.e. the M15 gold. The conclusion is that you only have to invert the strategy. (I don't want to offend anybody and sorry for my English.)
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