A advanced trading strategy well-suited for NSE markets. Uses systematic, rule-based logic to identify high-probability entry and exit points with defined risk on every trade.
Complexity
Advanced
Easy to implement
NSE Suitability
High
5.2 / 10 score
Timeframe
Daily (Expiry)
Short to medium term
Best For
Advanced / Quant Traders
5–15 days moves
Indicators Used
2
Price Action, Volume
Win Rate (Backtest)
11.1%
Below 50% threshold
Avg Return / Trade
-0.59%
Per trade, after costs
Max Drawdown
-5.6%
Within typical range
Trades / Year
9
Small sample — interpret with caution
About the Short Gamma Strategy Strategy
# Short Gamma Strategy
The Short Gamma strategy capitalizes on periods of declining implied volatility and range-bound price action by selling options and profiting from time decay. A trader employing this approach sells both call and put options at or near current price levels, establishing a position that benefits as the underlying stock consolidates and gamma exposure—the rate of delta change—diminishes toward expiration.
On the NSE, this strategy works particularly well during stable market phases when intraday volatility contracts after news-driven moves. The strategy relies on the market's tendency to revert to established ranges during the final trading sessions before daily or weekly expiries. NSE's liquid derivatives segment, especially in stocks within NIFTY50, provides the tight bid-ask spreads necessary for profitable short premium positions.
The setup requires identifying stocks showing elevated volume but constrained price movement, suggesting institutional positioning without directional commitment. Traders monitor price action for failed breakout attempts and watch volume patterns to confirm range boundaries. The position assumes realized volatility will remain lower than implied, allowing the seller to pocket premium decay as expiration approaches. Risk management is critical, as sharp moves in either direction can create significant losses due to negative gamma exposure.
Who This Strategy Is For
This Advanced strategy suits Advanced / Quant Traders comfortable with a Daily (Expiry) timeframe and holding periods around several days. It's built for the Equity segment on NSE, so it fits traders who can check positions without needing intraday execution speed. It assumes you're already comfortable interpreting multiple indicators together and managing position sizing manually — not a first strategy to trade live.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: GRASIM
· 2024-05-13 to 2026-06-30
Total Return
-5.4%
CAGR
-2.8%
Sharpe Ratio
-1.61
Sortino Ratio
-2.42
Calmar Ratio
-0.5
Win Rate
11.1%
NSE Market Fit
5OUT OF 10
Moderate Fit
This strategy is well-suited for current NSE market conditions.
Win rate quality Needs Caution
Risk-adjusted return Needs Caution
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
2026
Jan
—
—
-0.6%
Feb
—
—
-0.8%
Mar
—
—
—
Apr
—
—
—
May
—
—
—
Jun
—
—
—
Jul
—
+0.3%
—
Aug
—
-0.6%
—
Sep
-1%
-0.6%
—
Oct
-1%
—
—
Nov
—
-0%
—
Dec
-1%
—
—
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Identify the market context — determine if conditions are trending or ranging, and confirm the higher timeframe direction
2
Wait for the specific entry signal defined by the strategy rules — do not enter without full confirmation
3
Execute with pre-defined stop loss and target — manage the trade according to the exit rules without discretionary override
Entry & Exit Rules
Risk Management Rules
Risk Per Trade
1.0%
of total capital
Min Capital
₹30,000
Hold Period
5–15 days
Segment
Equity, Futures
Common Mistakes to Avoid
⚠️ As with any systematic strategy, the most common mistake is deviating from the defined entry/exit rules mid-trade based on emotion rather than the backtested logic.
Full Backtest Report
Backtested on GRASIM ·
2024-05-13 to 2026-06-30 ·
Capital ₹100,000
Equity Curve
Live tracking coming soon
We're building forward-tested, paper-trade tracking for this strategy so you can see how it performs
on live NSE data — not just historical backtests. Check back soon.
No sample trades added yet for this strategy.
Strategy Parameters
The exact rules and default values this strategy uses — adjust them when you run a full backtest.
Parameter
Default
Min
Max
Type
Description
strike_delta
0.30
0.15
0.50
decimal
Delta of options to sell for short gamma
hedge_frequency
daily
—
—
select
How often to delta hedge short gamma
iv_rank_min
50
30
80
integer
Minimum IV rank to sell gamma profitably
stop_loss_pct
300
150
500
decimal
Exit when loss reaches this % of credit
Related Strategies
Looking for alternatives? 0DTE Options Strategy is a similar Intermediate strategy in the same Options category, with Very High NSE suitability.
MomentumIQ is an educational platform for strategy research and backtesting. We do not provide investment advice, recommendations, or tips. All backtest results are hypothetical, based on historical data, and for educational purposes only. Past performance is not indicative of future results. Backtested results may not account for brokerage, slippage, taxes, or other real-world costs. Please consult a SEBI-registered investment advisor before making any investment decisions.
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