An options-based strategy 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
Beginner
Easy to implement
NSE Suitability
High
5.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Beginner Traders
5–15 days moves
Indicators Used
1
Options Chain
Win Rate (Backtest)
0%
Below 50% threshold
Avg Return / Trade
-0.42%
Per trade, after costs
Max Drawdown
-3.4%
Within typical range
Trades / Year
6
Small sample — interpret with caution
About the Bear Put Spread Strategy
A Bear Put Spread is a credit spread strategy that profits from stable or rising prices by selling out-of-the-money put options while simultaneously buying further out-of-the-money puts as protection. The strategy captures the time decay of the sold premium while limiting maximum loss through the long put leg.
This approach works well on NSE because India's equity options market offers excellent liquidity in major index and stock options, particularly in contracts with 7 to 30 days to expiration. The strategy suits NSE's volatility patterns, as Indian markets often experience mean-reversion behavior intraday, creating reliable premium levels to sell against. Most traders execute these spreads during market open hours when bid-ask spreads are tightest.
The setup typically involves identifying a stock or index trading near support or showing consolidation. A trader then sells a put strike at or slightly below current support levels where they're comfortable taking assignment, and buys a lower strike for defined risk. The goal is collecting premium while the underlying stays above the short strike through expiration. Position sizing matters significantly since this strategy involves assignment risk, making it suitable for daily timeframe traders managing 5-15 day duration trades.
Who This Strategy Is For
This Beginner strategy suits Beginner 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. Because it uses a small, well-known set of indicators, it's a reasonable starting point if you're new to systematic NSE trading.
Equity Curve (Backtest)
HIGH QUALITY
Tested on: PIDILITIND
· 2024-05-13 to 2026-06-30
Total Return
-2.6%
CAGR
-1.3%
Sharpe Ratio
-0.98
Sortino Ratio
-1.47
Calmar Ratio
-0.38
Win Rate
0%
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
—
—
—
Mar
—
—
-0.3%
Apr
—
—
—
May
—
—
—
Jun
—
—
—
Jul
—
-0.6%
—
Aug
—
—
—
Sep
-0%
-0%
—
Oct
—
—
—
Nov
—
—
—
Dec
-0.9%
—
—
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 PIDILITIND ·
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
long_strike_delta
0.40
0.25
0.60
decimal
Delta of long put strike to buy
width_points
100
50
500
integer
Distance between strikes in points
expiry_days
7
1
30
integer
Days to expiration at entry
max_loss_pct
2.0
0.5
5.0
decimal
Maximum loss allowed as % of capital
Frequently Asked Questions
A Bear Put Spread buys a higher strike put and sells a lower strike put for a net debit. It profits when the underlying falls below the long put strike. It is cheaper than buying a naked put and has defined risk — the maximum loss is the premium paid. Use it for moderate bearish views with limited capital.
Buy the ATM put and sell a put 100-200 points lower. For Nifty at 22,000, buy 22,000 PE and sell 21,800 PE. The spread should cost no more than 50-60% of its maximum value (spread width) — if a 200-point spread costs ₹130, the maximum gain is only ₹70 which gives a poor risk-reward.
Breakeven = long put strike minus net debit paid. If you buy 22,000 PE and sell 21,800 PE for a net debit of ₹60, breakeven = 22,000 - 60 = 21,940. Below 21,940 the trade is profitable. Above 22,000 at expiry, both puts expire worthless and you lose the full ₹60 per unit premium paid.
Use a bear put spread when implied volatility is high (IV rank above 50%) — the short put reduces your premium cost significantly. Buy a naked put when IV is low (IV rank below 30%) and you expect a sharp move — the uncapped payoff justifies the extra premium. In medium IV environments, the spread is almost always preferable.
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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