Untitled (LBlK6JB0QS0)
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Why 1.0/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)
- ✕ Negative expectancy: -0.53R per trade across 462 trades
- ✕ Payoff 0.92 — the average winner is SMALLER than the average loser
- ✕ Only 20% of trades win — the rare big winners must keep showing up
- ✕ 8 of 9 tested years were negative (2018, 2019, 2020, 2021) — the edge is regime-dependent
- ✕ Max drawdown -97% on the ₹2L portfolio — the compounded return came with deep pain along the way
Detected components (auto-read from transcript)
Verdict
Auto-backtested. Detected: gap-up momentum (intraday open->close). Ran on 138 small-caps, real costs. 462 trades, win 20%, payoff 0.92, expectancy -0.53R/trade (avg -2.67%/trade).
This is a losing edge. The payoff ratio is thin. Regime-dependent — positive in only 11% of years.
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 2026-07-06 — 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 |
|---|---|---|---|---|---|---|---|---|
| -5% | -12% | -77% | -47% | -0% | -35% | -51% | -13% | +7% |
Simulated on the 138 small-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 | 10 | 20% | -0.48R | -2.41% |
| 2019 | 31 | 29% | -0.38R | -1.92% |
| 2020 | 234 | 14% | -0.69R | -3.44% |
| 2021 | 53 | 28% | -0.38R | -1.89% |
| 2022 | 32 | 25% | -0.31R | -1.56% |
| 2023 | 25 | 24% | -0.34R | -1.68% |
| 2024 | 39 | 13% | -0.68R | -3.39% |
| 2025 | 20 | 25% | -0.29R | -1.43% |
| 2026 | 18 | 50% | +0.09R | +0.43% |
Where this strategy made & lost money (the full stock-by-stock breakdown — 115 stocks, incl. 2026)
| # | Stock | Trades | Win% | Avg/trade | Best | Total | 2026 |
|---|---|---|---|---|---|---|---|
| 1 | ████████ | 14 | 29% | -2.8% | +5% | -39% | +8% |
| 2 | ████████ | 2 | 50% | +0.2% | +6% | +0% | +6% |
| 3 | ████████ | 12 | 17% | -2.2% | +10% | -26% | +6% |
| 4 | ████████ | 10 | 30% | -1.1% | +7% | -11% | +5% |
| 5 | ████████ | 4 | 25% | -3.5% | +2% | -14% | +2% |
| 6 | ████████ | 24 | 21% | -3.0% | +5% | -72% | +2% |
| 7 | ████████ | 1 | 100% | +1.3% | +1% | +1% | +1% |
| 8 | FINPIPE free peek | 3 | 67% | -0.5% | +1% | -1% | +1% |
| 9 | ████████ | 5 | 40% | +3.0% | +12% | +15% | +0% |
| 10 | ████████ | 3 | 33% | +3.0% | +10% | +9% | +0% |
| 11 | ████████ | 2 | 50% | +4.3% | +9% | +9% | +0% |
| 12 | ████████ | 2 | 100% | +2.6% | +4% | +5% | +0% |
| 13 | ████████ | 2 | 50% | +2.1% | +7% | +4% | +0% |
| 14 | ████████ | 1 | 100% | +1.8% | +2% | +2% | +0% |
| 15 | ████████ | 8 | 38% | +0.1% | +7% | +1% | +0% |
| 16 | ████████ | 1 | 0% | -0.2% | +0% | +0% | +0% |
| 17 | ████████ | 1 | 0% | -0.2% | +0% | +0% | +0% |
| 18 | ████████ | 3 | 33% | +0.1% | +11% | +0% | +0% |
| 19 | ████████ | 3 | 33% | -0.1% | +3% | +0% | +0% |
| 20 | ████████ | 1 | 0% | -0.7% | +-1% | -1% | +0% |
| 21 | ████████ | 2 | 0% | -4.3% | +-3% | -9% | -6% |
| 22 | ████████ | 4 | 50% | -2.1% | +2% | -8% | -6% |
| 23 | ████████ | 1 | 0% | -4.0% | +-4% | -4% | -4% |
| 24 | ████████ | 2 | 0% | -4.4% | +-3% | -9% | -3% |
| 25 | ████████ | 1 | 0% | -2.2% | +-2% | -2% | -2% |
| 26 | ████████ | 4 | 50% | +3.3% | +12% | +13% | -2% |
| 27 | ████████ | 4 | 25% | -2.2% | +1% | -9% | -1% |
| 28 | ████████ | 26 | 23% | -2.7% | +14% | -70% | +0% |
| 29 | ████████ | 8 | 12% | -4.7% | +1% | -38% | +0% |
| 30 | ████████ | 8 | 12% | -4.6% | +2% | -37% | +0% |
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.
Full transcript (6073 words)
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