0:02 On this channel, we have tested more
0:04 than 60 different trading indicators,
0:06 and most of them failed. But the
0:09 indicator I'm presenting you today is
0:11 about to enter the top five. And that
0:14 raises a different question. What is
0:16 this indicator doing differently from
0:18 all the others? Today, I'm going to
0:21 break it down properly, how it works,
0:23 where it actually performs best, and how
0:26 you can use it in a real trading system.
0:28 And stay tuned until the end because I
0:30 will also give you a free upgraded
0:33 version that fixes its biggest
0:35 weaknesses. I'm ATP and let's get started.
0:51 Firstly, I want to give a quick shout
0:54 out to the subscriber who suggested this
0:57 indicator. This video exists because of
0:59 you. So, thank you for that. And this is
1:02 exactly how this series works. If there
1:04 is an indicator or strategy you
1:07 genuinely believe as an edge, drop it in
1:10 the comments. I read everything and the
1:12 best ideas get tested here on the
1:15 channel. Now, let's open Trading View
1:18 and actually put this tool on the chart.
1:20 Just go to the indicators tab, search
1:24 for no sure thing or KT and it is this
1:26 one right here built by Trading View.
1:29 The KST is an indicator built on four
1:32 different rate of change cycles. Each
1:35 one representing a different layer of
1:38 market momentum. So instead of reacting
1:41 to price like most oscillators do, the
1:44 KST blends all of them together, smooths
1:46 out the noise, and then compresses
1:49 everything into two main lines. The
1:52 first one is the KST line itself. When
1:54 it's above zero, overall momentum is
1:57 bullish. When it's below, momentum is
1:59 bearish. But we are not trading zero
2:02 line crossovers in this video. Those
2:04 tend to be late and honestly they are
2:07 not the real edge of this indicator. The
2:10 real secret lies in the signal line. The
2:13 signal line is simply a moving average
2:16 of the KST itself. And when these two
2:18 lines interact, they can tell us when
2:20 the market's momentum is shifting while
2:24 the move is starting. So for this test,
2:27 a long signal happens when the KST line
2:29 crosses above the signal one and the
2:32 short signal happens when the KST line
2:35 crosses below the signal line. Regarding
2:38 the settings, I'm not using the default
2:40 values because they tend to generate too
2:44 many fake crossovers. So for this test
2:48 I'm using 10, 15, 20, and 30 for both
2:50 the rate of change cycles and their
2:54 averages with a signal smoothing of 20.
2:56 In practice, this makes the indicator
2:59 slower but far more reliable. Now we are
3:02 going to do what we always do here. We
3:04 are going to turn this indicator into a
3:07 complete rulebased trading system. First
3:10 we need context. Because the KST is a
3:12 momentum indicator, it performs best
3:14 when it's aligned with the dominant
3:17 market direction. So, we are going to
3:19 filter out trades using something simple
3:23 and proven. We'll use a 200 period
3:25 exponential moving average as our
3:28 baseline. Long trades are only allowed
3:31 when the price is above the 200 EMA and
3:33 short trades are only allowed when the
3:36 price is below it. Now, let's talk about
3:39 risk management. Instead of using fixed
3:41 stops or random levels, we are going to
3:44 let volatility define the risk. Stop
3:47 losses will be placed using the ATR
3:49 bands indicator with a multiplier of
3:53 three. That means stops expand and
3:55 contract with market conditions instead
3:59 of being randomly hit by noise. And for
4:01 exits, we are going to use a two-stage
4:04 exit designed specifically to take
4:07 advantage of what the KST does best,
4:09 catching large momentum waves. Here's
4:12 how it works. The first take profit is
4:15 placed at a 1:1 riskto-reward ratio.
4:18 When price reaches that level, we close
4:21 50% of the position and at the same
4:23 time, we move the stop-loss to break
4:27 even. From there, the remaining 50% of
4:29 the trade is managed using a trailing
4:33 stop based on the ATR bands. Simple and
4:35 highly efficient.
4:37 Now, before we move to the testing
4:39 phase, I want to show you something
4:42 practical. To make this system easier to
4:44 use, especially for live trading, I
4:47 created a custom upgraded version of the
4:50 noir thing. This version already
4:52 includes the optimized settings. We are
4:56 using the 200 EMA trend filter and clear
4:59 buy and sell arrows when a valid signal
5:02 appears. If you want to use it, I've
5:04 shared the full code for free inside our
5:07 Discord in the free materials channel.
5:10 You just need to copy the script, open
5:13 the Pine editor, click on create new
5:16 indicator, paste the code, save it, and
5:19 add it to the chart. You can also create
5:21 Trading View alerts directly from it,
5:23 which makes it even more useful if you
5:26 don't want to stare at charts all day.
5:28 Now that the rules are fully defined,
5:31 it's time to define our sample. For this
5:33 test, we are going to cover five
5:36 different assets across crypto, stocks,
5:39 and forex to see how the KST behaves
5:42 across completely different markets. On
5:44 top of that, we'll use four different
5:47 time frames ranging from lower to higher
5:50 ones. And finally, all tests will cover
5:52 a full three-year period, giving us
5:55 thousands of trades and multiple market
5:58 cycles to work with. As you might
6:00 expect, doing this work manually will be
6:04 completely unrealistic. Just one asset
6:06 on one time frame will take weeks.
6:08 That's why all these tests will be run
6:11 using the indicators testing bot. It
6:13 allows me to apply the exact same rules
6:16 across all assets and time frames,
6:18 analyze thousands of trades
6:21 automatically in seconds, and extract
6:24 clean performance data in minutes. It
6:26 already includes more than 100
6:30 indicators, supports custom scripts, and
6:32 is used by hundreds of traders for back
6:35 testing, optimization, and even live
6:37 trading. If you want to explore it
6:40 further, all the details including the
6:42 free user guide are available on my
6:45 website. So with everything set up, I
6:47 run the full back test with the same
6:50 logic and same structure. And now let's
6:52 look at the results because this is
6:55 where things get interesting. Let's
6:57 start with the lower time frames. On the
6:59 5-minut chart, the results are
7:02 underwhelming. The system fights with
7:05 noise and the equity curve isn't stable.
7:07 And this isn't a surprise.
7:10 Momentum-based systems like this one
7:12 simply don't succeed when structure
7:15 doesn't have time to develop. Moving up
7:17 to the 30inut time frame, everything
7:20 changes. The win rate improves, draw
7:22 downs decrease, and the equity curve
7:25 becomes much more consistent. Then on
7:28 the 1 hour chart, performance remains
7:31 solid, still profitable and efficient
7:33 with Bitcoin being the best asset in
7:35 this time frame. And finally, on the
7:37 daily chart, we get another clean
7:40 behavior. Fewer traits, yes, but higher
7:44 quality. So, here's a takeaway. The no
7:46 sure thing is not a fast signal
7:49 generator, and it's not a plugandplay
7:52 indicator, but when used correctly, it
7:54 becomes one of the most reliable
7:57 momentum tools we have ever tested on
8:00 this channel. On the official indicators
8:02 ranking table, the no sure thing earns
8:06 its spot in the top five, not because it
8:08 produces flashy signals, but because it
8:11 delivers consistent performance when
8:14 used the right way. It sits alongside
8:16 indicators that favor quality over
8:19 quantity. And that's exactly why it
8:21 stands out. Our top one still remains
8:24 the purple cloud, followed closely by
8:27 the super trend fusion. And that's it.
8:29 If you found this breakdown useful, make
8:31 sure to leave a like. It generally helps
8:33 the channel more than you think. And
8:36 subscribe if you are new here. I'm ATP.
8:39 Stay sharp, trade smart, and I will see
