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)
30%
Below 50% threshold
Avg Return / Trade
-0.11%
Per trade, after costs
Max Drawdown
-2.5%
Within typical range
Trades / Year
10
Small sample — interpret with caution
About the Retest Entry Strategy Strategy
The Retest Entry Strategy captures momentum by identifying price levels that have recently broken through significant resistance or support, then waiting for price to pull back and retest that level before continuing in the original direction. This approach filters out false breakouts by requiring confirmation that buyers or sellers remain committed at the newly established level.
On the NSE, this strategy proves relevant given the market's intraday volatility and the way institutional flows often create distinct breakout patterns during morning and afternoon sessions. Indian equities frequently exhibit sharp moves followed by quick retests, particularly in liquid large-cap stocks where volume surges accompany directional shifts. The strategy works well within regular market hours when volume is reliable and price discovery is most active.
The setup typically involves identifying a resistance or support zone that price has decisively broken through on elevated volume, then entering when price retests that zone with lower volume, suggesting the initial breakout wasn't forced liquidation but genuine directional interest. This reduces whipsaw risk compared to entering immediately at breakout, making it suitable for traders managing position sizing on a 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: EICHERMOT
· 2024-05-13 to 2026-06-30
Total Return
-1.1%
CAGR
-0.6%
Sharpe Ratio
-0.36
Sortino Ratio
-0.54
Calmar Ratio
-0.24
Win Rate
30%
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
—
—
+0.4%
Feb
—
—
—
Mar
—
—
-0%
Apr
—
—
—
May
—
-0.8%
—
Jun
—
—
—
Jul
—
-0%
—
Aug
—
+0.8%
—
Sep
-0.7%
—
—
Oct
-0.1%
—
—
Nov
-0.7%
—
—
Dec
—
—
—
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
⚠️ Momentum strategies can give back gains quickly once momentum fades. A common error is not tightening stops as profits build, which lets a winning trade round-trip back to breakeven or a loss.
Full Backtest Report
Backtested on EICHERMOT ·
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
breakout_lookback
20
10
50
integer
Bars to identify the broken level being retested
retest_atr
0.5
0.25
1.5
decimal
ATR distance from level to qualify as retest
volume_on_break
1
—
—
boolean
Require volume surge on original breakout
atr_stop
1.0
0.5
2.0
decimal
ATR multiple beyond retested level for stop
Frequently Asked Questions
A Retest Entry waits for price to break a key level and then return to test that level from the other side (former resistance tested as new support after breakout, or vice versa) before entering. This allows a lower entry price closer to the stop loss reference, significantly improving risk-reward compared to chasing the initial breakout.
Require the retest to show a rejection candle at or near the broken level — the price approaches the level, briefly touches it, then closes back above it (for bullish retests of broken resistance). Volume should be lighter during the retest than during the initial breakout, confirming reduced selling interest at this level.
Approximately 50-65% of valid NSE breakouts provide a retest of the breakout level within 5-10 sessions. When a breakout does not retest (price runs away from the breakout level immediately), it often signals exceptional institutional demand — the missed retest entry may require accepting a less favorable breakout chase entry or passing entirely.
Retest entries allow significantly tighter stops — typically 0.5-1 ATR below the retested level — since the level should now hold as support. Breakout chase entries require wider stops (1.5-2 ATR) to accommodate the extended distance from the original breakout level. This tighter stop on retests translates directly to better position sizing and risk-reward.
Related Strategies
Looking for alternatives? 1 Minute Scalping is a similar Intermediate strategy in the same Momentum 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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