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Rolling Straddle Strategy

Rolling Straddle Strategy

Intermediate Daily

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
5 OUT 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
202420252026
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.
Trade Distribution
6 Total
Profitable 3 (50%)
Losing 3 (50%)
↑ Avg Win +685
↓ Avg Loss -537
★ Best Trade +1,094
▼ Worst Trade -671
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) AXISBANK ₹100,000 +0.4% 0.2% -1.3% 50% 6 0.21 View
💡 Tip: Backtest on more data to increase confidence. Our users get best results with 3+ years of backtesting. Run Extended Backtest
How It Works (Quick Overview)
1
Step 1
Identify the market context — determine if conditions are trending or ranging, and confirm the higher timeframe direction
2
Step 2
Wait for the specific entry signal defined by the strategy rules — do not enter without full confirmation
3
Step 3
Execute with pre-defined stop loss and target — manage the trade according to the exit rules without discretionary override
View Detailed Rules & Setup →

Best Market Conditions

This strategy performs best in:

How This Strategy Works
1
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.

ParameterDefaultMinMaxTypeDescription
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
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SEBI Compliance Disclaimer

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.