A time-gated breakout strategy that fires when BankNifty breaks out of a tight squeeze before 11:30 AM while the underlying market regime is Bullish.
Prepared for client review. Contains an illustrative backtest, not investment advice or a guarantee of future results.
Triggered when the Short Squeeze Probability crosses above 60 before 11:30 AM in a Bullish Regime.
Immediate long entry at the exact closing price of the 1-minute squeeze trigger candle.
Must occur in the morning session while Wide Regime == Bullish.
Volatility compression (squeeze) in the morning session often leads to explosive directional expansion. Filtering by a Bullish Regime ensures we only buy expansions aligned with the dominant institutional trend.
This report follows the sequence above end-to-end. The strategy has cleared sample-size and historical-accuracy checks; out-of-sample regime stability is under active review (see Risk & Limitations).
Models the financial outcome of the 115 trailing-stop trades using standard lot sizing (4 lots = 120 units).
The option P&L scenarios use a fixed 0.5 delta assumption. Real options have dynamically changing delta, gamma, theta (time decay), and vega (IV changes) which are completely excluded here. Futures margin is dynamic and volatility-based; the ?3,40,000 figure is an approximate illustration, not a real-time quote. Always verify live margin requirements before trading.
An active trailing stop locks in explosive morning breakouts while protecting against fakeouts.
Trigger after +80 pts profit, trailing 60 pts behind the highest peak.
It sacrifices catching the absolute top of a trend to prevent profitable trades from turning into losers on midday reversals.
Squeeze breakouts are highly volatile. Securing +80 pts quickly guarantees we profit from the initial expansion, while the 60 pt trail gives enough breathing room for multi-hour runs.
Failed squeezes can reverse violently, crashing 150+ points instantly. A strict stop is mandatory.
Tight stops choke the strategy, triggering exits on normal market chop right before the true breakout occurs.
Cuts catastrophic tail risk on fakeouts while providing enough buffer for the initial volatility expansion.
Cumulative points captured across all 115 trades, sequential by trade number (fixed 0.5-delta illustrative basis).
Consistent with the 60.9% win rate and +18.4 pt mean trailing-stop result reported above.
Primary figures reflect the optimal [initial stop + trailing exit]. Original no-initial-stop baseline shown in parentheses.
| Metric | Buy Option (A) | Sell Option (B) | Futures (C) |
|---|---|---|---|
| Return Metrics | |||
| Total P&L (₹) | +₹253,722 | +₹253,722 | +₹253,722 |
| Total Return % | 422.9% | 42.3% | 74.6% |
| Max Drawdown (₹) | -₹73,848 | -₹73,848 | -₹73,848 |
| Max Drawdown % | -123.1% | -12.3% | -21.7% |
| Win Rate (%) | 60.9% | 60.9% | 60.9% |
| Largest Win (₹) | +₹46,032 | +₹46,032 | +₹46,032 |
| Largest Loss (₹) | -₹12,000 | -₹12,000 | -₹12,000 |
All three scenarios share the exact same underlying sequence of trades and identical win rates and risk-adjusted ratios. Scenario A maximizes return on margin but with severe drawdown-to-margin exposure; Scenario B requires the largest capital base with the lowest relative drawdown risk; Scenario C offers a middle ground in margin efficiency while avoiding options-specific time decay and volatility risk.
The theoretical maximum profit available from the entry price through the end of the trading day.
With a high median MFE, this setup proves its worth: when a squeeze breaks upward in a bullish regime, it usually generates a 100+ point run.
Performance when the trade is held strictly for a fixed period of time after entry.
A time-based exit ignores the violent intraday pullbacks that characterize morning squeezes.
The median entry is morning, and the highest peak is usually reached around 1:45 PM, meaning trades must be held through midday chop.
Models the financial outcome of the 115 trades using standard lot sizing (4 lots = 120 units).
| Metric | Scenario A (Buy Option) | Scenario B (Sell Option) | Scenario C (Futures) |
|---|---|---|---|
| Capital / Margin Assumed | ₹60,000 | ₹6,00,000 | ₹3,40,000 |
| Total Cumulative P&L | +₹253,722 | +₹253,722 | +₹253,722 |
| Max Drawdown (₹) | -₹73,848 | -₹73,848 | -₹73,848 |
| Win Rate | 60.9% | 60.9% | 60.9% |
| Largest Single Win | +₹46,032 | +₹46,032 | +₹46,032 |
| Largest Single Loss | -₹12,000 | -₹12,000 | -₹12,000 |
Note on extreme losses: Scenarios B and C expose the account to theoretically uncapped losses on gap-downs or extreme adverse moves. Proper catastrophic stops must be applied.
Each of the 115 confirmed entries is logged with its trigger and entry time, entry price, reference level, max favorable/adverse move, fixed-hold results, and the final trailing-stop outcome — the same trade-by-trade data used to build the equity curve and every statistic in this report.
Full row-level trade log available as a companion data file.
The index squeezed heavily, broke upward, and the trailing stop gracefully followed the ascent.
| Date | Signal | Entry | Exit | Outcome (pts) | MFE / MAE |
|---|---|---|---|---|---|
| 2025-06-06 | 10:28 | 10:28 @ 56226.4 | 10:54 | +383.6 | +443.6 / 0.0 |
The setup triggered but bearish momentum quickly caught up, invalidating the breakout. The strict -100 point stop-loss executed instantly.
| Date | Signal | Entry | Exit | Outcome (pts) | MFE / MAE |
|---|---|---|---|---|---|
| 2025-01-17 | 10:34 | 10:34 @ 48721.0 | 10:51 | -100.0 | +15.4 / -285.8 |
The market surged heavily, but a sharp mid-day pullback knocked out the trailing stop, exiting the trade early with secured profit.
| Date | Signal | Entry | Exit | Outcome (pts) | MFE / MAE |
|---|---|---|---|---|---|
| 2025-06-06 | 10:28 | 10:28 @ 56226.4 | 10:54 | +383.6 | +443.6 / 0.0 |
If the Wide Regime detector incorrectly classifies a choppy market as Bullish, this setup will trigger false breakouts.
During prolonged sideways regimes, the strategy may suffer strings of -100pt stop-outs as the required sustained momentum is absent.
The strict -100pt stop loss must never be removed. Without it, fake breakouts will cause massive drawdowns.
This strategy has not yet been formally promoted to confirmed/live status internally. It has cleared sample-size and historical-accuracy gates; regime stability under out-of-sample walk-forward testing is currently under active review.