I Backtested 4,200 Variation of Candle Range Theory CRT — Does It Actually Work? — Transcript
Full transcript
- 0:00Hello guys and welcome back to a new
- 0:02video. Today we're going to put the
- 0:04candle range theory under the scope.
- 0:07Probably the most hyped strategy on
- 0:09social media right now and we're going
- 0:11to find out if it's actually a real edge
- 0:14or just garbage with heavy marketing
- 0:16like the rest. In this video I tested
- 0:194200 different variation of the strategy
- 0:22and what I found out is going to
- 0:23surprise a lot of people. So stick till
- 0:26the end. But before we get into it, make
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- 0:56or stranger 25. And now let's get into
- 1:00the video. [music]
- 1:01So as you can see on the screen,
- 1:02everything I'm about to show you, I put
- 1:04it into one big [music] report, okay? If
- 1:07you want to read it in details or you
- 1:09want to try different variations and
- 1:11ideas yourself, all you have to do is to
- 1:13leave a comment down below and I'll send
- 1:16it to you, all right? So here's the
- 1:18setup that we're going to do. I choose
- 1:19um
- 1:20the NQ futures. The data set runs from
- 1:232021 all the way to 2026. So that's 5
- 1:27and 1/2 years.
- 1:28And um I got it from Data Bento. So it's
- 1:32real high quality data.
- 1:34And we split it into three parts. So the
- 1:37first one is the in-sample from 2021 all
- 1:39the way to 2024.
- 1:41So this is where we do all our
- 1:43exploring, finding variations,
- 1:45optimizing and so on.
- 1:48This is the playground. And [music]
- 1:50the second part is the validation. So
- 1:52that's the whole of 2025. The survivors
- 1:55from the in-sample get their chance to
- 1:57be tested here. All right? And finally,
- 2:00the out-of-sample, which is 2026, quite
- 2:04a small out-of-sample, but whatever
- 2:07survives has to pass this, okay? And it
- 2:10gets [music] only one shot. All right.
- 2:13So, what is the candle range theory?
- 2:17At a high level, the engine works like
- 2:19this, okay? So, you take three candles.
- 2:22Let's say we are in a downtrend. So, you
- 2:24take a candle and treat its high and low
- 2:27as a box or range.
- 2:30So, when the next candle takes the high,
- 2:32but fails to close above it,
- 2:34the theory says it grabbed the stops and
- 2:38>> [music]
- 2:38>> closed back inside. That's called a
- 2:40sweep, all right? And then, it's
- 2:42supposed to reverse and run to the other
- 2:44end of the original candle, okay?
- 2:47So, once it happens, you go short and
- 2:49target the other end and beyond.
- 2:52That's the underlying engine. Of course,
- 2:54there's more to it, and we'll get into
- 2:55that later on. But, this isn't a new
- 2:59idea. It is inspired by ICT power of
- 3:01three and turtle soup, and both of those
- 3:04are also repackaged from Wyckoff and the
- 3:07swing trading methodology in the book
- 3:09Street Smarts. So, I'm going to leave
- 3:11the the links in the comment
- 3:13to verify by yourself. And by the way,
- 3:16if there is another famous strategy that
- 3:17you want me to put it through the exact
- 3:20pipeline
- 3:21and the back testing engine, drop it in
- 3:23the comments and I'll run the full back
- 3:25test and see if it actually works or
- 3:28not. I'll be happily to share the
- 3:30results, including the exact variation
- 3:32that actually made money, all right? So,
- 3:34just tell me
- 3:35down below.
- 3:36Now, you might say that some strategies
- 3:39or traders rely on discretion and that
- 3:42you can't make every concept mechanical.
- 3:45You can't back test it. And I agree to a
- 3:47point, but this is a big misconception
- 3:50in trading, all right? What most people
- 3:52don't don't understand is that a real
- 3:54institutional level trader
- 3:56is not relying on feel or discretion
- 3:59alone. Yes, there is discretion, but
- 4:01underneath it, they have a solid
- 4:03mechanics, concepts, and patterns in
- 4:05price that wins more than they lose.
- 4:09Okay? So, the underlying engine is
- 4:11mechanical, and when they add
- 4:13discretionary on top of that, the
- 4:15results get even better.
- 4:17In other word, discretion [music]
- 4:19sits on top of a working mechanical
- 4:21edge. Okay? So, discretion alone cannot
- 4:24create an edge out of thin air. It needs
- 4:27the mechanics underneath. Even if you
- 4:30are watching me and you are a
- 4:31discretionary trader, you must admit
- 4:34that you have price action patterns,
- 4:37um time frame alignments, higher time
- 4:39frame analysis that you do
- 4:42in order to make an idea of where the
- 4:44market is going. So, you are a
- 4:46discretionary trader, but you have a
- 4:48mechanical um
- 4:50engine underneath. Okay? So, that's my
- 4:52point. So, in this video, we're
- 4:55answering does this candle range theory
- 4:57mechanical core have any edge [music] at
- 5:00all before any human discretion to add.
- 5:04All right?
- 5:05So, let's talk about the variations that
- 5:07I created. So, I wanted to give CRT
- 5:10every fair chance, so we built 40 to 100
- 5:13versions or variation. First of all, the
- 5:16time frame combination, okay? As you can
- 5:18see, six different ones.
- 5:20Then, the ways of finding a sweep or
- 5:23defining a sweep.
- 5:24>> [music]
- 5:25>> When a candle takes a high, there is
- 5:27more than one way to call it or to
- 5:29define it. So, I tested 10 of them. As
- 5:32you can see, [music] these are all on
- 5:33the screen. Same for stop loss
- 5:35placement. Uh stop loss placement, guys,
- 5:37can be a real edge on its own. A lot of
- 5:39people think that stop doesn't matter,
- 5:42but
- 5:43the right placement, like [music] um
- 5:45either it's tight or wide stop loss or
- 5:48ATR based stop loss or something more
- 5:50advanced like a trailing stop loss can
- 5:52literally take a strategy from
- 5:54unprofitable to profitable. Okay? So, in
- 5:57this
- 5:58field we tested seven. And the same
- 6:00thing for take profit. So, to put it all
- 6:03together and to multiply everything we
- 6:05have 42 separate strategy combination
- 6:09variation call it what you want.
- 6:11And we run every single one through the
- 6:14back testing engine. Okay?
- 6:17And as you can see these are the
- 6:19results. I want you to pay close
- 6:22attention to this graph right here.
- 6:24Okay? Uh on the x-axis is the profit
- 6:27factor. Okay? Remember profit factor
- 6:29just means for every dollar you lose how
- 6:32much do you win? Okay? So, a profit
- 6:34factor of 1.5 means for every dollar
- 6:37that you lost you make 1.5 and that's
- 6:40good. Okay? That's something that you
- 6:41want to have.
- 6:43So, above one is profitable, below one
- 6:45is unprofitable,
- 6:47but you really want something above 1.3.
- 6:50Okay? At least 1.2.
- 6:53Otherwise, it's just a thin edge that
- 6:55you cannot rely on.
- 6:56>> [music]
- 6:57>> Now, I want you to look at the
- 6:58distribution. All right? About 10% had a
- 7:02really terrible profit factor around 0.5
- 7:05and below. And another 10% had a really
- 7:08good one. So, from 1.8 all the way to
- 7:11three.
- 7:12But, here's the important part that you
- 7:14should focus on. 80% of those 4200
- 7:18variation landed around 0.92 profit
- 7:22factor.
- 7:24Okay? And this matters a lot. All right?
- 7:26Because if you can actually
- 7:28have a real phenomenon in price
- 7:31when you test all these variations what
- 7:34you want to see is that most of them
- 7:36lean to the profitable side above one.
- 7:39Okay? And that's not what's happening
- 7:40here. So, this is a good sign. You might
- 7:44um point [music] to the 10% with a good
- 7:46profit factor.
- 7:48Uh and that's 10% uh across 42
- 7:50variations. That's like um
- 7:52>> [clears throat]
- 7:53>> 400 variations that really had
- 7:55a good profit factor.
- 7:58But, it's not enough. 10% is not good.
- 8:02Okay? It might be most of them can be
- 8:04just overfit to noise. But, remember
- 8:07that we're still on the first split.
- 8:09Okay? So, this is the in sample. And now
- 8:11what we're going to do is we're going to
- 8:13take [music] those survived, the 10%
- 8:15that survived, um the ones with the
- 8:18decent profit factor, and we're going to
- 8:19test them on the rest of the splits. So,
- 8:22we have the the validation of 2025, and
- 8:25finally the out of sample. Okay?
- 8:27But, before that, we're going to run
- 8:29them through something called the
- 8:31placebo test. This is a well-known test
- 8:34in algorithmic strategy development, and
- 8:36it goes like this. Okay? I want you to
- 8:39listen to this one.
- 8:42So, for each variation that passed the
- 8:45in sample, okay? We're going to build a
- 8:48dump twin.
- 8:50It's going to take the same exact trades
- 8:52at the same times, same same sizes,
- 8:56okay? And the same stop loss and take
- 8:58profit.
- 9:00The only thing that changes is
- 9:02direction. So, instead of using the CRT
- 9:05signature, which is sweeping the
- 9:07previous high and then closing below,
- 9:09therefore, we need to go short. No,
- 9:12we're going to throw that away, and when
- 9:14it's time to take the trade, we're going
- 9:15to flip a coin.
- 9:17If it is tails, we're going to go short.
- 9:20>> [music]
- 9:20>> If it heads, we're going to go long. And
- 9:22that's it. That's only thing that we're
- 9:23going to change. Now,
- 9:25when you think about it for a second, um
- 9:28because I know it sounds pointless,
- 9:30because if the candle range duty is
- 9:32actually reading the market,
- 9:34if that sweep really holding an edge on
- 9:38direction if that formation of price or
- 9:41candles then the real CRT variation
- 9:45should crush the coin flip twin. It's
- 9:47not even a fair fight, all right?
- 9:52It's the smart one against the random
- 9:54one. But when I ran it guys, um they
- 9:57basically tied. A lot of the variations
- 10:01that passed the in sample,
- 10:03okay?
- 10:05They failed the placebo test. Their dumb
- 10:08twin made almost the same money, almost
- 10:11the same profit factor, okay? So, that
- 10:14will tell you that it wasn't the sweep,
- 10:16it wasn't that candle formation, okay?
- 10:18[music]
- 10:19Giving those winners an edge. It was
- 10:21placing the right stop and the right
- 10:23target, okay? And a lot of people don't
- 10:26like running this test and they feel
- 10:28like it's pointless, okay? Because
- 10:30[music] they don't like the result, but
- 10:31it is guys. It tells you whether your
- 10:33strategy is actually based on a real
- 10:36thing, okay?
- 10:37If you want more detailed video about
- 10:40the placebo test and other well-known
- 10:41tests that you should run on your
- 10:43strategies, okay? When you are
- 10:44developing strategies, tell me in the
- 10:46comments and I'll do
- 10:48uh one with more examples.
- 10:50But
- 10:51uh in summary, the placebo test
- 10:53eliminated a large chunk of the
- 10:55variations that had passed on the profit
- 10:57factor in the in sample, okay? It turned
- 11:00out that a lot of them it wasn't [music]
- 11:02because of that particular signature
- 11:05that brought in price, okay?
- 11:07So, after the placebo test cut um
- 11:11couple of variations,
- 11:12we looked at the equity curves at two
- 11:15variations that really stood out because
- 11:18one of them made almost 743
- 11:21R. That's insane, okay? That's a really
- 11:24good number. And another it made even
- 11:27better.
- 11:28It made 1,121
- 11:31R,
- 11:32Okay?
- 11:33>> [music]
- 11:33>> Now, both
- 11:35had a strong profit factor and when I
- 11:38looked at their equity curves,
- 11:41it was extremely disappointing.
- 11:44As you can see, these taken extremely
- 11:46low number of trades, as you can see on
- 11:48the chart, the frequency is really not
- 11:51there and one of them literally took a
- 11:53single trade in the span of 2 years.
- 11:56So, the conditions were really hard to
- 12:00replicate
- 12:02um every day or every week. And as you
- 12:05can see, they made almost all their
- 12:06money in a couple of lucky windows
- 12:09with deep drawdown in between. So, in
- 12:11other words, they are useless. We cannot
- 12:13use them.
- 12:15And the rest of the variations that beat
- 12:17the placebo in sample and had a decent
- 12:20profit factor and healthy equity curve
- 12:23and healthy frequency, so they passed
- 12:26all the tests and so on,
- 12:29when they when we tested them on the
- 12:30validation,
- 12:32which is 2025 and the out of sample in
- 12:352026,
- 12:36that placebo
- 12:38caught up.
- 12:40Those coin flips
- 12:42or dumb twins that we created in the in
- 12:44sample, they recovered in the validation
- 12:47sample and the out of sample. Okay? Same
- 12:50profit factor, same overall profit,
- 12:52[music] which means even for the
- 12:54survivors, okay,
- 12:57that passed all the tests, the sweep,
- 12:59the actual candle range theory engine
- 13:01was not the one producing those numbers
- 13:04because a dumb twin that randomized
- 13:06direction, okay, made pretty much the
- 13:09same money. So, it tells you that the
- 13:11money
- 13:12it came from the structure,
- 13:14the overall structure, not that
- 13:17signature in price. So, does the candle
- 13:19range theory have a real mechanical edge
- 13:22that you can trade
- 13:23without the discretion that they are
- 13:25trying to sell you?
- 13:26>> [music]
- 13:27>> The kind that you spend years of your
- 13:29life chasing based on 42 hundred for
- 13:32Asian that we tested, the placebo test,
- 13:35and the sealed
- 13:37validation sample, and the out of sample
- 13:39data, the answer is no. It doesn't have
- 13:43an underlying engine that drives the
- 13:45edge in your favor. Okay? The typical
- 13:48the typical CRT version loses money. A
- 13:51profit factor of 0.92. You saw the
- 13:53distribution. A real edge isn't that
- 13:55fragile. And let me prove it to you.
- 13:57Okay? I'm going to show you one. This is
- 13:59an edge that I'm testing on the Forex
- 14:01side
- 14:03or the commodity side on gold. I want
- 14:05you to look at distribution of the
- 14:08variations and compare to CRT.
- 14:11Most of the variations lean [music] to
- 14:13the right into a good profit factor.
- 14:15That's what a real edge looks like.
- 14:18Okay? CRT is in the middle. It has
- 14:21nothing to offer. All right? And you can
- 14:23[music] actually add discretion to this
- 14:25gold strategy and make it even better.
- 14:29So you're adding discretion into
- 14:31something that actually works.
- 14:33All right? Now again,
- 14:35if you want me to test other things, if
- 14:37you want
- 14:38if you maybe notice that I missed some
- 14:41things, I didn't give it the fair chance
- 14:44to actually work, maybe I missed couple
- 14:46of mechanics, I'm happy to test this
- 14:49again in another video. Just leave them
- 14:52in the comments and I'll see. Okay?
- 14:54We're going to let the data decide. But
- 14:57for now, this is the end of this video.
- 14:58If you have any other questions, leave
- 15:00them down in the comments and I'll
- 15:02answer you as soon as I can. Now happy
- 15:04trading and good luck.
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