Pulse Bearish Reversal Strategy

Strategy Overview

How the setup works

Concept / Step 1

Overbought Exhaustion

Triggered when the Pulse indicator crosses below its smoothed EMA while both are above +95.

Reference Level / Step 2

3-Bar Breakdown

The price at the exact moment of the crossover is set as the reference level.

Confirmation & Entry

Sustained Breakdown

Requires price to break below the reference level and sustain below it for 3 consecutive bars.

Logic Rationale

Short-Side Squeeze

Extreme positive Pulse readings reflect intense long-side buildup. A sustained breakdown signals exhaustion and initiates a sharp bearish reversal.

Data & Methodology

Built on a disciplined testing pipeline

369

Trading days analyzed
2025-01-02 — 2026-08-26

146

Valid confirmed entries
(single-close pricing baseline)

146

Distinct trading days
with a confirmed entry

1-Min

Intraday bar interval
used for the dataset

Standard internal quantitative methodology

Hypothesis generation

Minimum sample size gate

Baseline historical accuracy check

Out-of-sample walk-forward test

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).

Illustrative P&L Simulation — Options & Futures

Simulation assumptions

Models the financial outcome of the 146 trailing-stop trades using standard lot sizing (4 lots = 120 units).

Scenario A

Buy Option (Long Call/Put)

60,000 margin assumed. Fixed 0.5 delta approximation. Standard sizing: 4 lots (120 units).

Scenario B

Sell Option (Short Put/Call)

6,00,000 margin assumed. Fixed 0.5 delta approximation. Standard sizing: 4 lots (120 units).

Scenario C

Futures

3,40,000 margin assumed. 1.0 delta. Standard sizing: 4 lots (120 units).

⚠ Simplified illustration only

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.

Recommended Exit Method

Active trailing stop

An active trailing stop locks in profits while waiting for massive late-day drops.

Trailing logic

Trigger after +80 pts profit, trailing 60 pts behind the lowest peak.

Result

59.6%

WIN RATE

Median captured profit: +23.6 pts
(mean +23.6 pts)

Trade-off

It occasionally stops out prematurely on normal intraday bounces before massive afternoon crashes.

Why it works

Because downside moves are sharp and violent, we must allow the trade to breathe without risking the full 100pt stop after reaching profitability.

Illustrative P&L Simulation

Stop-loss optimization

Runaway bull markets can relentlessly grind higher. A strict initial stop is mandatory to cap tail risk.

Too tight

Tight stops choke the strategy, triggering exits on normal market chop before the reversal occurs.

Optimal level: -100 pts

Cuts catastrophic tail risk when bulls refuse to yield, minimizing false stop-outs.

Impact of the initial stop

59.6%

WIN RATE — Stabilizes the win rate by preventing single massive losses from destroying expectancy.

Maintained

TOTAL P&L — Ensures profitability by cutting losers at -100 pts while winners run 120+ pts average.

Risk Defined

MAX DRAWDOWN — Eliminates uncapped upside risk during failed setups.

Illustrative P&L Simulation

Equity curve — trailing-stop basis

Cumulative points captured across all 146 trades, sequential by trade number (fixed 0.5-delta illustrative basis).

Trade 1 Trade 146 — final cumulative result +3,439.0 pts

Consistent with the 59.6% win rate and +23.6 pt mean trailing-stop result reported above.

Illustrative P&L Simulation

Performance metrics summary

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 (₹)	+₹412,680	+₹412,680	+₹412,680
Total Return %	687.8%	68.8%	121.4%
Max Drawdown (₹)	-₹73,680	-₹73,680	-₹73,680
Max Drawdown %	-122.8%	-12.3%	-21.7%
Win Rate (%)	59.6%	59.6%	59.6%
Largest Win (₹)	+₹54,936	+₹54,936	+₹54,936
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.

Performance Results

Maximum Favorable Excursion (MFE)

The theoretical maximum profit available from the entry price through the end of the trading day.

+23.6 pts

MEAN MFE

+23.6 pts

MEDIAN MFE

Win rate by profit threshold

96.6%

> 0 pt

37.7%

> 100 pt

24.7%

> 150 pt

17.1%

> 200 pt

11.6%

> 300 pt

With a median MFE of 76 pts and a strong 75th percentile, the downside momentum is sharp and pronounced when the setup fires correctly.

Performance Results

Fixed-horizon outcomes

Performance when the trade is held strictly for a fixed period of time after entry.

30-Minute Hold

52.7%

WIN RATE

+0.4 pt

60-Minute Hold

43.2%

WIN RATE

+-14.7 pt

90-Minute Hold

45.9%

WIN RATE

+-14.3 pt

A time-based exit ignores the violent intraday drops that characterize bearish exhaustion trades.

Performance Results

Peak-timing insight

42.5%

of maximum favorable moves occur after 2:30 PM

TYPICAL ENTRY TIME

11:45 AM

THE PROBLEM WITH A FIXED TIME EXIT

A fixed time exit ignores intraday structure.

The median entry is mid-morning, but the deepest drops typically occur in the afternoon.

Illustrative P&L Simulation

P&L comparison summary

Models the financial outcome of the 146 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	+₹412,680	+₹412,680	+₹412,680
Max Drawdown (₹)	-₹73,680	-₹73,680	-₹73,680
Win Rate	59.6%	59.6%	59.6%
Largest Single Win	+₹54,936	+₹54,936	+₹54,936
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.

Full Trade Log

146 trades — trailing-stop basis

146

TOTAL TRADES

WINNING TRADES

LOSING TRADES

59.6%

WIN RATE

What this log covers

Each of the 146 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.

Winning Trades

Losing Trades

Trade Examples

Case Studies

A) Clean Win (Maximum Trend Capture)

The index exhausted itself early, triggered the entry, and immediately rolled over. The trailing stop gracefully followed the descent.

Date	Signal	Entry	Exit	Outcome (pts)	MFE / MAE
2025-05-21	10:30	10:30 @ 55355.2	12:21	+457.8	+517.8 / 89.6

B) Stop-Out (Failed Setup)

The setup triggered but bullish momentum quickly caught up, invalidating the bearish divergence. The strict -100 point stop-loss executed instantly.

Date	Signal	Entry	Exit	Outcome (pts)	MFE / MAE
2025-01-02	13:59	13:59 @ 51756.9	14:42	-100.0	+21.9 / 171.1

C) Trailing Stop (Premature/Partial Exit)

The market dropped heavily, but a sharp mid-day bounce knocked out the trailing stop, exiting the trade early with secured profit.

Date	Signal	Entry	Exit	Outcome (pts)	MFE / MAE
2025-05-21	10:30	10:30 @ 55355.2	12:21	+457.8	+517.8 / 89.6

Please Read Carefully Before Any Live Application

Risk & limitations

Regime Dependency

During runaway bull markets, short-selling setups often experience consecutive stop-outs as the market grinds higher without correcting.

Choppy Market Erosion

During prolonged sideways or choppy regimes, the strategy may suffer strings of -100pt stop-outs as the required sustained momentum is absent.

Maximum adverse excursion

The strict -100pt stop loss must never be removed. Without it, runaway bull trends will cause massive drawdowns.

Current Status: Research & Validation

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.