A intermediate 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
Intermediate
Easy to implement
NSE Suitability
High
5.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Swing & Positional Traders
5–15 days moves
Indicators Used
2
Price Action, Volume
Win Rate (Backtest)
50%
Above 50% threshold
Avg Return / Trade
+0.07%
Per trade, after costs
Max Drawdown
-1.3%
Within typical range
Trades / Year
6
Small sample — interpret with caution
About the Rolling Straddle Strategy Strategy
The Rolling Straddle Strategy capitalizes on periods of elevated volatility followed by mean reversion, common in NSE equity options during market transitions. Traders simultaneously buy or sell call and put options at the same strike price, then roll positions to adjacent expiration cycles as each contract nears maturity. This approach targets the compression and expansion of implied volatility across different time horizons.
NSE's peak trading hours between 10 AM and 3 PM generate sufficient liquidity in near-month contracts, making entry and exit smooth for liquid underlyings. The strategy exploits volatility clustering patterns that emerge during earnings announcements, macroeconomic releases, and sector rotation events. Volume analysis helps confirm whether price action is driven by genuine directional conviction or temporary noise.
The setup looks for straddles established when implied volatility sits near historical lows, offering attractive premium collection opportunities. As expiration approaches, traders evaluate whether to exit the position entirely, roll to the next monthly series, or convert to a strangle by adjusting strike prices. Position management relies on daily price action observation rather than algorithmic triggers, allowing traders to adapt to market microstructure shifts and unexpected volatility spikes characteristic of NSE sessions.
Who This Strategy Is For
This Intermediate strategy suits Swing & Positional Traders comfortable with a Daily 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.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: AXISBANK
· 2024-05-13 to 2026-06-30
Total Return
+0.4%
CAGR
0.2%
Sharpe Ratio
0.21
Sortino Ratio
0.32
Calmar Ratio
0.15
Win Rate
50%
NSE Market Fit
5OUT OF 10
Moderate Fit
This strategy is well-suited for current NSE market conditions.
Win rate quality Good
Risk-adjusted return Good
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
2026
Jan
—
—
+0.2%
Feb
—
—
—
Mar
—
—
—
Apr
—
—
—
May
—
—
—
Jun
—
—
—
Jul
—
-0.4%
—
Aug
—
—
—
Sep
+0.2%
+1.1%
—
Oct
—
—
—
Nov
—
—
—
Dec
-0.7%
—
—
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 AXISBANK ·
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
expiry_days
30
14
60
integer
Days to expiry when first entering straddle
roll_dte
7
3
14
integer
Days to expiry to roll straddle forward
strike_delta
0.50
0.45
0.55
decimal
Delta of strike for rolling straddle
stop_loss_pct
200
100
400
decimal
Exit when loss reaches this % of credit received
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.