Intermediate★ Very High NSE FitDaily (Expiry)9/10 Popularity
An options-based strategy extremely well-suited for NSE F&O markets. Leverages the unique characteristics of NIFTY and BANK NIFTY weekly options including time decay, volatility cycles, and expiry behaviour.
Complexity
Intermediate
Easy to implement
NSE Suitability
Very High
9.2 / 10 score
Timeframe
Daily (Expiry)
Short to medium term
Best For
Options Traders
5–15 days moves
Indicators Used
1
Options Chain
Win Rate (Backtest)
26.9%
Below 50% threshold
Avg Return / Trade
-0.08%
Per trade, after costs
Max Drawdown
-5.6%
Within typical range
Trades / Year
26
Statistically reasonable sample
About the 0DTE Options Strategy Strategy
The 0DTE Options Strategy targets profits from options expiring on the same day they are traded, capitalizing on rapid time decay and intraday volatility movements in the NSE equity segment. This approach seeks to capture gamma and theta dynamics as options lose extrinsic value within their final hours of existence.
The strategy holds particular relevance on NSE due to the exchange's liquid derivative markets and pronounced intraday volatility patterns in major indices and stocks. Index options like Nifty 50 and Bank Nifty offer sufficient liquidity and tight spreads necessary for same-day entry and exit execution. NSE's standard market hours also create predictable volatility windows, particularly around economic data releases and the market open, where 0DTE options experience accelerated price movement.
Traders typically identify setups by analyzing the options chain for strike prices near current spot price levels, looking for situations where implied volatility is elevated relative to realized volatility. The strategy often involves selling premium through short calls or puts at strikes expected to remain out-of-the-money, or buying cheap premium on near-the-money options anticipating larger directional moves than current pricing suggests. Execution depends heavily on managing intraday Greeks and closing positions well before expiry to avoid assignment risk.
Who This Strategy Is For
This Intermediate strategy suits Options 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.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: RELIANCE
· 2021-07-05 to 2026-07-15
Total Return
-2.2%
CAGR
-0.5%
Sharpe Ratio
-0.21
Sortino Ratio
-0.32
Calmar Ratio
-0.09
Win Rate
26.9%
NSE Market Fit
9OUT OF 10
Very High 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) Good
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2022
2023
2024
2025
2026
Jan
-0.8%
—
—
-0.7%
—
Feb
-0.5%
-0.5%
—
-1.2%
-0.7%
Mar
+1.9%
—
—
—
-0.9%
Apr
—
—
-0.6%
-0.8%
—
May
—
+0.9%
-0.7%
+1.9%
-0.1%
Jun
-0.1%
—
-0.9%
—
—
Jul
—
—
+1.8%
—
—
Aug
—
—
-1.1%
—
—
Sep
-0.1%
—
—
-0.5%
—
Oct
—
—
-0.9%
+0.9%
—
Nov
+1%
—
—
—
—
Dec
—
+0.9%
-0.6%
—
—
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Identify the market direction and key support/resistance levels on the NIFTY or BANK NIFTY chart
2
Select the appropriate strike price based on Delta and time to expiry — ATM or slightly OTM
3
Enter on a confirmed directional signal — manage with a 30–50% premium stop loss and defined target
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 RELIANCE ·
2021-07-05 to 2026-07-15 ·
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
Parameter
Default
Min
Max
Type
Description
expiry_time
morning
—
—
select
Time window to trade 0DTE options
delta_target
0.30
0.10
0.50
decimal
Delta of option strike to target
delta_target
0.30
0.10
0.50
decimal
Delta of option to buy or sell
stop_loss_pct
50
20
100
decimal
Max loss as % of premium paid
stop_loss_pct
50
20
100
decimal
Max loss as % of premium paid
profit_target_pct
100
50
300
decimal
Exit when profit reaches this % of premium
profit_target_pct
100
50
300
decimal
Target profit as % of premium paid
entry_window
morning
—
—
select
Time window to enter 0DTE trades
Frequently Asked Questions
A 0DTE (zero days to expiry) strategy involves buying or selling options that expire on the same day. On NSE, this applies to weekly Nifty and BankNifty options every Thursday. Because time value collapses to zero by close, both buyers and sellers face amplified risk and reward within a single session.
No. 0DTE trades move extremely fast — a 1% Nifty move can wipe out an entire options premium in minutes. Beginners should first practice with weekly options having 5-7 days to expiry before attempting same-day expiry trades.
The first 30 minutes (9:15-9:45 AM) and the last hour (2:00-3:30 PM) offer the clearest directional moves. Midday is typically choppy and unfavorable for 0DTE buyers. Sellers often enter between 10-11 AM after the opening range is established.
Never risk more than 1-2% of your capital on a single 0DTE trade. Premiums can go to zero in under an hour. Many experienced traders cap total 0DTE exposure at 5% of capital per day regardless of how many trades they take.
Related Strategies
Looking for alternatives? Option Buying is a similar Beginner 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.