Exploits the price gap between the previous close and current open on NSE. Well-suited for Indian markets where overnight gaps from global events create reliable intraday setups.
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)
42.9%
Below 50% threshold
Avg Return / Trade
+0.17%
Per trade, after costs
Max Drawdown
-2.5%
Within typical range
Trades / Year
7
Small sample — interpret with caution
About the Overnight Gap Strategy Strategy
The Overnight Gap Strategy captures the price gaps that form between the previous close and the next day's open on the NSE. These gaps occur when overnight news, global market movements, or accumulated trading sentiment create a discontinuity in price action. The strategy aims to identify setups where the market either fills the gap or breaks through it with conviction.
This approach is particularly relevant for NSE traders because Indian equity markets exhibit distinct overnight volatility patterns, especially around earnings announcements, macroeconomic data, and global market reactions. The NSE's opening auction mechanism and the initial trading hour often show strong volume confirmation of these gaps, making them reliable for entry signals.
The setup looks for gaps accompanied by significant volume at the open. Traders watch whether price action during the first hour sustains the gap direction or reverses toward the previous close. A genuine breakout gap typically shows sustained volume and price momentum away from the open level, while a fill gap shows volume pushing back toward the prior close. The strategy primarily uses price action observation and volume confirmation rather than complex indicators, making it accessible for traders learning breakout mechanics on the daily timeframe.
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: TATASTEEL
· 2024-05-13 to 2026-06-30
Total Return
+1.2%
CAGR
0.6%
Sharpe Ratio
0.31
Sortino Ratio
0.47
Calmar Ratio
0.24
Win Rate
42.9%
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 Good
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
2024
2025
Jan
—
—
Feb
—
—
Mar
—
—
Apr
—
—
May
—
+1.9%
Jun
—
—
Jul
—
—
Aug
—
-1.7%
Sep
—
—
Oct
-0.1%
+0.7%
Nov
—
—
Dec
-0.8%
+1.2%
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
⚠️ Breakout strategies are prone to false breakouts and whipsaws, especially around low-volume sessions or just before major news/results. Confirm volume alongside the price breakout rather than trading the level alone.
Full Backtest Report
Backtested on TATASTEEL ·
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
Parameter
Default
Min
Max
Type
Description
gap_pct
1.0
0.5
5.0
decimal
Minimum overnight gap % to trade
direction
gap_and_go
—
—
select
Trade with or fade overnight gap
atr_stop
1.5
1.0
3.0
decimal
ATR multiple for stop loss
exit_time
intraday
—
—
select
When to exit the overnight gap trade
Frequently Asked Questions
NSE overnight gaps arise from US market closes, Asian session opens (Nikkei, Hang Seng), SGX Nifty futures activity, and after-hours corporate announcements. Fundamental news-driven gaps (earnings, regulatory decisions) behave differently from sentiment-driven gaps (global risk-on/off moves), requiring different strategic responses.
SGX Nifty trades nearly 24 hours and is often used as a leading indicator for NSE's opening direction. If SGX Nifty is significantly above or below the prior NSE close when checked before NSE opens, it provides an advance indication of the expected opening gap, helping traders prepare their gap strategy in the pre-market window.
NSE data shows small gaps (under 0.5%) fill within the session approximately 65-70% of the time, providing a statistical basis for a gap-fade bias on minor gaps. Large gaps (above 1.5%) driven by significant news fill much less frequently (30-40%), supporting a gap-and-go approach for substantial catalyst-driven overnight moves.
Calculate your maximum acceptable loss assuming a worst-case 3-5% adverse gap (larger for volatile stocks) and size your overnight position to keep this scenario within your standard 2% per trade risk tolerance. Never use maximum leverage for overnight positions where your downside risk is unknown until the next morning's open.
Related Strategies
Looking for alternatives? Opening Range Breakout (ORB) is a similar Beginner strategy in the same Breakout category, with 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.