A beginner 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
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
2
Price Action, Volume
Win Rate (Backtest)
22.2%
Below 50% threshold
Avg Return / Trade
-0.01%
Per trade, after costs
Max Drawdown
-1.2%
Within typical range
Trades / Year
9
Small sample — interpret with caution
About the Butterfly Spread Strategy
A butterfly spread is an options strategy that profits from price consolidation around a central strike price. It involves buying one call at a lower strike, selling two calls at a middle strike, and buying one call at a higher strike, creating a defined-risk position with capped profit and loss. The strategy captures minimal price movement and benefits from time decay as expiration approaches.
On NSE, butterfly spreads work well in the equity segment because of consistent intraday volatility patterns and liquid index options like Nifty 50 and Bank Nifty. The strategy suits NSE's daily timeframe where price often oscillates within predictable ranges before moving decisively. Higher retail participation creates reliable volume spikes at support and resistance levels, which helps identify consolidation zones where butterflies are most effective.
The setup looks for periods where price action shows horizontal movement with contained swings between two levels. Volume should gradually decrease as price tightens, signaling reduced directional conviction. Traders enter when price settles into this range midpoint, positioning the middle strike at current support or resistance. The strategy works best during the first and last hour of trading when NSE sees heightened activity and tighter bid-ask spreads, improving execution quality on the three-legged position.
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: ULTRACEMCO
· 2024-05-13 to 2026-06-30
Total Return
-0.1%
CAGR
-0.1%
Sharpe Ratio
-0.06
Sortino Ratio
-0.09
Calmar Ratio
-0.08
Win Rate
22.2%
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
—
-0.3%
-0%
Feb
—
—
—
Mar
—
—
—
Apr
—
—
—
May
—
—
—
Jun
—
—
—
Jul
—
+0.8%
—
Aug
—
-0.1%
—
Sep
—
-0.4%
—
Oct
-0%
-0.2%
—
Nov
—
—
—
Dec
+0.2%
—
—
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 ULTRACEMCO ·
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
body_strike_delta
0.50
0.40
0.60
decimal
Delta of middle body strikes
wing_width
100
50
500
integer
Distance from body to wing strikes
expiry_days
7
1
30
integer
Days to expiry at entry
max_loss_pct
2.0
0.5
5.0
decimal
Maximum loss as % of capital
Frequently Asked Questions
A Butterfly Spread combines three strikes — buy one ITM call, sell two ATM calls, buy one OTM call. It creates a tent-shaped payoff that maximizes profit when the underlying closes exactly at the middle strike at expiry. It is a low-cost, limited-risk, limited-reward strategy used when you expect minimal price movement.
Butterfly spreads work best when you expect Nifty or Bank Nifty to expire near a specific level with low volatility. This makes them ideal for weekly expiry trades when the index is rangebound. The ideal scenario is entering the butterfly when the middle strike is exactly ATM with 5-10 days to expiry.
Max profit = wing width minus net debit. For a 100-100 point butterfly (buy 21,900 CE, sell two 22,000 CE, buy 22,100 CE) costing ₹30 debit, max profit = 100 - 30 = ₹70 per unit, or ₹3,500 per Nifty lot. This maximum profit only occurs if Nifty closes exactly at 22,000 at expiry.
Center the butterfly at your target expiry price — if you expect Nifty to close near 22,000, use 21,900/22,000/22,100. Make the wings symmetric (equal distance from center). Width of 100-200 points between strikes is standard for weekly Nifty butterflies. Use the same expiry for all three legs.
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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