I TESTED Highest Win Rate Strategy 200 TIMES (Unbelievable) | Beats All Strategies — backtested on Indian market data | FakeTrades
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I TESTED Highest Win Rate Strategy 200 TIMES (Unbelievable) | Beats All Strategies

TRADING RUSH · watch on YouTube ↗
Analysed 22 Oct 2026, 09:27 AM IST
★★★★☆ 4.0 / 5
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Heads up: this strategy was originally created for commodities, not Indian equities. We applied the exact same logic to Indian stocks & indices and the backtest completed successfully — every result below is on Indian market data.

Why 4.0/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • ✓ Strong per-trade edge: +0.36R expectancy across 13,425 trades
  • ✓ Convex payoff 3.3 — winners far bigger than losers
  • ✕ Only 32% of trades win — the rare big winners must keep showing up
  • ✕ 5 of 9 tested years were negative (2018, 2019, 2022, 2025) — the edge is regime-dependent
  • ✕ Max drawdown -32% on the ₹2L portfolio — the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

Swing SMA/MARSIMACD

Claims it makes (quotes pulled from the transcript)

  • “So in the first test the Ballinger band strategy got a massive 76% win rate even with the 1.”
  • “Remember that the break even win rate with this ratio is 40%.”
  • “So this 76% win rate is a really high crazy win rate.”
  • “It made 90% profit on the account even without compounding.”

Verdict

Auto-backtested. AI-decoded: Bollinger Bands breakout strategy: buy when price closes above upper BB (with 200-EMA filter), 1.5:1 R:R, tested on XAUUSD 30-min chart with daily 9-EMA trend filter. Ran on 159 large/mid-caps, real costs. 13,425 trades, win 32%, payoff 3.25, expectancy +0.36R/trade (avg +1.84%/trade).

This is a real edge. The payoff is convex (winners run well past the average loser). Regime-dependent — positive in only 44% of years.

Mechanically decoded from the transcript and scored from the metrics. Flagged for human review; a hand-vetted verdict can override it.

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🔴 Live forward test (no hindsight — only trades the rules fired AFTER we published this verdict)

Tracking since 2026-10-22 — no qualifying signals have fired yet. The engine re-checks every night on fresh data; results appear here the day the rules trigger.

Is it profitable? (green above the line = made money, red below = lost it)

₹2,00,000 portfolio (max 5 positions, across the stock universe — real delivery costs)

Return+49.8%
CAGR+5.2%
Max drawdown-32.2%
Trades361 · 99 won
₹200,000 → ₹299,657  ·  2018-07-10 → 2026-06-08
201820192020202120222023202420252026
+1%+1%+33%+29%-9%+16%+3%-11%-11%

Simulated on the 159 large/mid-cap universe. Capital-constrained, daily mark-to-market.

Year by year (every trade the rules fired, across the tested stocks)

YearTradesWin %ExpectancyAvg return / trade
201865716% -0.59R -3.78%
2019131427% -0.02R -0.01%
2020181744% +0.99R +7.31%
2021180135% +0.44R +2.56%
2022166426% -0.07R -0.74%
2023211944% +1.32R +5.57%
2024183527% +0.13R +0.34%
2025150429% -0.02R -0.39%
202671422% -0.36R -1.72%

Where this strategy made & lost money (the full stock-by-stock breakdown — 158 stocks, incl. 2026)

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 8251% +25.3% +181% +2077% +198%
2 ████████ 9951% +19.0% +124% +1880% +159%
3 ████████ 7633% +3.6% +52% +277% +143%
4 ████████ 7842% +6.4% +85% +500% +137%
5 ████████ 7541% +9.0% +125% +672% +75%
6 ████████ 6936% +3.6% +101% +246% +71%
7 ████████ 9534% +2.6% +68% +246% +64%
8 CUMMINSIND free peek 10643% +6.8% +61% +717% +51%
9 ████████ 9440% +4.1% +66% +383% +40%
10 ████████ 4838% +4.1% +55% +198% +29%
11 ████████ 10234% +4.0% +65% +406% +27%
12 ████████ 9846% +7.5% +59% +738% +23%
13 ████████ 11134% +0.8% +32% +86% +19%
14 ████████ 10337% +3.2% +61% +332% +3%
15 ████████ 8136% -0.6% +15% -46% +1%
16 ████████ 9331% +3.1% +61% +293% +0%
17 ████████ 9239% +2.1% +32% +194% +0%
18 ████████ 8333% +2.0% +46% +170% +0%
19 ████████ 10031% +1.7% +50% +170% +0%
20 ████████ 8034% +0.2% +36% +19% +0%
21 ████████ 7027% +2.1% +60% +150% -46%
22 ████████ 9731% +2.8% +106% +269% -45%
23 ████████ 8921% -1.1% +34% -96% -40%
24 ████████ 8528% -0.0% +32% -3% -40%
25 ████████ 10830% +1.4% +69% +151% -37%
26 ████████ 7023% +0.1% +107% +7% -36%
27 ████████ 9520% -1.6% +33% -149% -35%
28 ████████ 9339% +1.2% +29% +115% -34%
29 ████████ 9033% +2.3% +69% +205% -34%
30 ████████ 10431% +2.2% +81% +232% -34%
You can see the numbers — see the names. Unlock every stock in this breakdown and download it as Excel. The worst stock in this table returned -149% under these exact rules — one wrong pick costs many times the unlock.

Educational backtest output only — not investment advice or a recommendation to buy/sell any security. AI-generated from stored historical data; not 100% accurate. Past performance is not indicative of future results.

On the index (same rules applied to NIFTY & BANKNIFTY)

IndexTradesWin%Expectancy (R/trade)Avg return/trade
NIFTY17532% +0.03R -0.10%
BANKNIFTY16032% +0.20R +0.53%
Full transcript (2086 words)
I just tested one of the highest win rate trading strategies I have ever seen in my around 9 years of a trading journey. It got a way higher win rate than my expectation and way higher than any other trading strategy I have tested 100 times before. You see, I recently started a new series where I am going to test most trading strategies and indicators 200 times. I will test them in an extremely good market to see how high the win rate can go and in an extremely bad market to see how low the win rate can go. Then we can also compare those extremes with other trading strategies that we have tested in a mostly good market. The MACD trading strategy has been the king in the mostly good market multiple times. It always had the highest win rate out of all trading strategies, but not anymore. In the extremely good market, MACD is no longer the king because there is a new strategy that gets a way higher win rate than MACD ever did. But what is this new high win rate trading strategy? Well, it's the same one my great great great-grandfather used to use during the war. It's none other than the Ballinger bands indicator that makes your chart look messy. In this case, it looks like sunglasses, something similar, or someone sleeping on the beach. It's all about perspective, but this is the indicator that got the highest win rate out of everything we have tested. Here's how I did the test. For the extremely good market test, I placed a 9- period moving average on the gold USD 1-day time frame and only took trades where the price was above this moving average. I didn't take trades where the price was not clearly above the moving average or was ranging, slow, or choppy based on price action patterns like higher swing highs and higher swing lows. I drew red boxes where I considered the price not to be clearly trending. I tested in the same market structure as other strategies in this extreme testing series. So in the extremely good market test, I only took trades where I didn't draw these red boxes. And in the extremely bad market test, I only took trades where I drew these red boxes. The reason I'm saying the range market and slow market are bad because the strategy is a trend trading strategy. So, anything that is not trending clearly is bad for the strategy. But that was just to filter the extremely good and extremely bad markets. My actual entry time frame was 30 minutes with the Ballinger bands indicator. The strategy's logic is something like this. You see Ballinger bands contract and expand when the price moves slowly and strongly respectively. For example, here you can see the Ballinger bands coming closer together when the price was slow and then the price started to move up strongly. It gained upward momentum and then the Ballinger band started to expand. But the thing is Ballinger bands are lagging indicators. They don't react instantly to strong momentum changes. So many times the price will move above the Ballinger bands if the upward momentum is too strong like what we see here. The price has clearly closed above the upper Ballinger band. And this Ballinger band is the default Ballinger band. I didn't change any settings. The strategy says that when the price or a candle closes above the upper Ballinger band, it's a sign of new strong upward pressure and we should take a long trade at the closing price of the first candle that closed above the upper Ballinger band. Something like this. Since this is a trend trading strategy in an uptrend, the stop loss can go below the pullback or swing low of the trend. I set the profit target at 1.5 times the stop-loss distance or used a 1.5 to1 reward to risk ratio to make sure I also took trades in the long-term uptrend of the 30inut time frame. I only took long trades if the price was also above the 200 period moving average. But the Ballinger bands indicator is still kind of messy looking like it can create confusion about where the price gave a breakout above the bands. So to solve this problem, I use the percent B indicator which is basically Ballinger bands but looks like an RSI or something similar. You see when the price breaks above the upper Ballinger band, the percent B indicator will also break above its one value or upper band. And this makes it much easier to spot the exact candle that broke above the upper Ballinger band. So this is what I used to take 100 trades in the extremely good market and 100 trades in the extremely bad market. Also, I only took long trades since gold USD has been in a good uptrend for a long while. So, here's what happened when I took 100 trades in the extremely good market. I was straight up surprised. The Ballinger band strategy started to win continuously from the start. Now, usually I do have some expectations about the win rate and other things before starting the test, but this time the win rate was way higher than my expectations. When I tested the MACD strategy in the extremely good market in the previous video, I said that there might be a strategy that would beat MACD, but I didn't expect the new strategies win rate to be this much higher than MACDs. It's almost unrealistic as we will definitely not get this win rate in a mostly trending market or a normal trending market where there is range and slow movement in between. But that's the point of the extremely good market test. I want to see how high the win rate can get even with the 1.5 to1 reward to risk ratio because as we get more experience as we improve and as we get better at identifying good versus bad markets this is how high our win rate can go with this Ballinger band strategy. So in the first test the Ballinger band strategy got a massive 76% win rate even with the 1.5 to1 reward to risk ratio. Remember that the break even win rate with this ratio is 40%. So this 76% win rate is a really high crazy win rate. It won 15 trades in a row and only lost five trades in a row. It made 90% profit on the account even without compounding. With compounding it would have been even higher. But I have not tested previous strategies with compounding on. So I didn't enable compounding in this testing as well. This way we can consistently compare different strategies. But look at the profit graph. It almost goes up in a straight line. But why in the world is this strategy so unrealistic looking? Why is it better than MACD? You see, there's a small catch to this strategy. It basically gives entry signals more frequently than MACD or many other strategies. Since this strategy gives an entry point where the upward momentum rises strongly when there is a strong upward trend, entries can happen more frequently. And because of that, in the extremely good market test, it gave an entry signal quite frequently like after a few candles. Actually, I would consider this a disadvantage for this strategy. Like, I would see too many entry points in a short while as a lower quality setup. I mean, the MACD indicator can also give multiple entry signals frequently, but most of the time it gives an entry point only once in a pullback. If the first pullback fails or the price becomes slow and choppy, then it starts giving multiple entry points near the same point. But this Ballinger band's breakout strategy gives trades more frequently most of the time. Don't get me wrong. If you are trying to take as many trades as possible in a strong trending market, then this indicator is very good. This strategy will give you a lot of trades and will make a lot of money according to the data. But sometimes the entry points are way too close and it can feel like spam or a lower quality entry. But what about the extremely bad market? How does this Ballinger band strategy perform when faced with an extremely bad market? Well, the win rate dropped to around 34% at one point during the test. Sometimes it did manage to win multiple trades in a row. It won around six trades in a row and lost around 10 trades in a row. Sometimes it would catch a small upward move and because it gives trades frequently backto back, it managed to win more times and because of that the win rate jumped a little bit even in the bad market. So after 100 trades in the extremely bad market, this Ballinger band's breakout strategy got around a 42% win rate. Now the break even win rate is 40%. So this 42% win rate is around the break even point. In other words, the profit graph will probably stay flat in the long run. But in the extremely good market, this strategy gets a crazy high almost unrealistic win rate. So now it's time to give it a trading rush score or TR score. In the previous 100 times testing series in the mostly good market, Ballinger bands percentb got a low win rate of around 38% and got around an 18.9 TR score. It ranked really low out of all the strategies we have tested in the extremely bad market. I'm going to give Ballinger bands the same TR score because it also got around a break even win rate. I mean, it did get a 42% win rate, which is above the 40% break even win rate and definitely above the previous 38% win rate. But the 42% win rate was only achieved after winning multiple trades in a short while near the end of the test. So overall, I would say the Ballinger band's percentb win rate in the bad market is around the break even point, just like it was in the mostly good market. And in the extremely good market, since it got a really high win rate, I'm going to give it a 9 out of 10 score in the win rate category. I would have gone even higher, but since it kind of spams trades, I gave it a 9 out of 10. Since the strategy is easy to use, I gave it a 7.5 out of 10 in that category. For the reliability of the setups, I gave it a 6 out of 10, lower than the MACD setups, because again, the strategy spams trades, so every trade is not that reliable. As for consistency, it had one of the most consistent profit graphs I have ever seen. But again, since it spams trades, I can't give it a high score in this category. It is as good as the MACD profit graph, which overall is still better than other strategies. As for the quality of trades, I gave it an 8 out of 10. For comparison, since MACD gives trades at the end of the pullback and usually doesn't spam trades, that MACD setup is much higher quality. This Ballinger band setup, however, is like taking trades near the top of the trend. And on top of that, they are kind of spammed. So, they are not the best quality setups. So, I will give it an 8 out of 10. Overall, the TR score the Ballinger band strategy gets in the extremely good market is 37.5, which is slightly lower than MACD's 38.8. Yes, Ballinger bands gives a really high win rate in the extremely good market, but since the reliability of the trades kind of sucks, the TR score is slightly lower than MACDs. So, when it comes to win rate, MACD is definitely not the king anymore, especially in the extremely good market. Ballinger bands gave a way higher win rate than MACD ever did. But when we consider the quality of trades and other things, MACD is still the king. So, since this is an ongoing series, let's see if we find a strategy that is better than MACD in every category. That's all. Thanks for watching. [music]

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