How to Automate the Profitable Gaussian Channel Strategy from TradingView
One-time — gone on refresh. Copy it and paste as a YouTube comment.
Why 3.0/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)
- ✓ A real but modest per-trade edge: +0.18R across 7,076 trades
- ✕ Only 38% of trades win — the rare big winners must keep showing up
- ✕ 3 of 9 tested years were negative (2018, 2025, 2026) — the edge is regime-dependent
- ✕ Max drawdown -46% on the ₹2L portfolio — the compounded return came with deep pain along the way
Detected components (auto-read from transcript)
Claims it makes (quotes pulled from the transcript)
- “that's right guys in this video I'm going to show you how to use and automate one of the best freely available Bitcoin trading strategies in the universe it's c”
Verdict
Auto-backtested. AI-decoded: Gann Channel strategy on Bitcoin daily chart using Supertrend-like upper/lower band crossover for trend-following entries and exits. Ran on 159 large/mid-caps, real costs. 7,076 trades, win 38%, payoff 2.24, expectancy +0.18R/trade (avg +0.96%/trade).
This is a real edge. Reasonably consistent (56% of years positive).
Mechanically decoded from the transcript and scored from the metrics. Flagged for human review; a hand-vetted verdict can override it.
🔴 Live forward test (no hindsight — only trades the rules fired AFTER we published this verdict)
Tracking since 2026-09-22 — 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)
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| +2% | -8% | -17% | +35% | -12% | +36% | +18% | -4% | -4% |
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)
| Year | Trades | Win % | Expectancy | Avg return / trade |
|---|---|---|---|---|
| 2018 | 406 | 36% | -0.09R | -0.81% |
| 2019 | 781 | 38% | +0.07R | +0.33% |
| 2020 | 805 | 47% | +0.59R | +4.84% |
| 2021 | 853 | 42% | +0.36R | +1.95% |
| 2022 | 928 | 36% | +0.04R | -0.01% |
| 2023 | 904 | 47% | +0.67R | +2.85% |
| 2024 | 975 | 32% | -0.00R | -0.28% |
| 2025 | 992 | 31% | -0.07R | -0.74% |
| 2026 | 432 | 31% | -0.15R | -0.66% |
Where this strategy made & lost money (the full stock-by-stock breakdown — 158 stocks, incl. 2026)
| # | Stock | Trades | Win% | Avg/trade | Best | Total | 2026 |
|---|---|---|---|---|---|---|---|
| 1 | ████████ | 45 | 36% | +12.9% | +209% | +581% | +57% |
| 2 | ████████ | 42 | 40% | +1.3% | +44% | +54% | +44% |
| 3 | ████████ | 45 | 42% | +6.0% | +123% | +268% | +40% |
| 4 | ████████ | 51 | 45% | +2.2% | +46% | +115% | +34% |
| 5 | ████████ | 19 | 16% | -2.8% | +16% | -53% | +30% |
| 6 | ████████ | 48 | 46% | +9.5% | +75% | +454% | +29% |
| 7 | ████████ | 54 | 52% | +6.6% | +136% | +356% | +29% |
| 8 | KEI free peek | 47 | 43% | +2.9% | +36% | +136% | +29% |
| 9 | ████████ | 42 | 29% | +2.1% | +101% | +90% | +29% |
| 10 | ████████ | 47 | 45% | +6.2% | +60% | +293% | +28% |
| 11 | ████████ | 40 | 45% | +2.9% | +58% | +115% | +26% |
| 12 | ████████ | 43 | 51% | +2.7% | +34% | +115% | +26% |
| 13 | ████████ | 24 | 25% | +1.6% | +44% | +38% | +25% |
| 14 | ████████ | 40 | 50% | +3.2% | +61% | +127% | +22% |
| 15 | ████████ | 49 | 49% | +2.2% | +41% | +109% | +19% |
| 16 | ████████ | 49 | 37% | +1.0% | +34% | +48% | +17% |
| 17 | ████████ | 33 | 45% | +1.9% | +52% | +63% | +16% |
| 18 | ████████ | 42 | 40% | +3.1% | +100% | +131% | +13% |
| 19 | ████████ | 40 | 35% | +0.2% | +21% | +9% | +13% |
| 20 | ████████ | 43 | 37% | -0.0% | +31% | +0% | +11% |
| 21 | ████████ | 51 | 29% | -0.6% | +46% | -32% | -30% |
| 22 | ████████ | 47 | 36% | +0.9% | +38% | +44% | -29% |
| 23 | ████████ | 50 | 46% | +3.9% | +59% | +195% | -27% |
| 24 | ████████ | 56 | 29% | -1.1% | +27% | -61% | -23% |
| 25 | ████████ | 51 | 31% | +1.8% | +71% | +92% | -21% |
| 26 | ████████ | 42 | 36% | -0.4% | +46% | -17% | -20% |
| 27 | ████████ | 39 | 38% | +0.3% | +33% | +13% | -19% |
| 28 | ████████ | 35 | 40% | +1.1% | +37% | +39% | -19% |
| 29 | ████████ | 54 | 28% | -0.4% | +42% | -21% | -18% |
| 30 | ████████ | 48 | 27% | -0.8% | +40% | -39% | -17% |
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)
| Index | Trades | Win% | Expectancy (R/trade) | Avg return/trade |
|---|---|---|---|---|
| NIFTY | 77 | 44% | +0.32R | +0.67% |
| BANKNIFTY | 73 | 37% | +0.16R | +0.13% |
Full transcript (4029 words)
💬 Trader reviews (traded this? tell others what really happened)
No reviews yet — be the first. Real experiences help other traders more than any backtest.
User opinions, not investment advice. Reviews are moderated before publishing.