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Buy the Dip

Buy the Dip

Beginner Daily

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)
14.3%
Below 50% threshold
Avg Return / Trade
-0.46%
Per trade, after costs
Max Drawdown
-3.4%
Within typical range
Trades / Year
7
Small sample — interpret with caution
About the Buy the Dip Strategy
Buy the Dip is a momentum strategy that capitalizes on temporary pullbacks within uptrends. The approach assumes that stocks exhibiting strong underlying momentum will find support during brief declines and resume their upward trajectory, allowing traders to enter at more favorable prices than the recent highs.

This strategy is particularly relevant on the NSE because Indian equities often display pronounced intraday volatility, creating recurring dip opportunities within single sessions. The market's 9:15 AM to 3:30 PM trading window concentrates liquidity, making price reversals from support levels more reliable. NSE-listed stocks, especially in the mid-cap and large-cap segments, frequently exhibit predictable pullback patterns that allow daily traders to identify and execute entries efficiently.

The setup focuses on price action within an established uptrend, using volume confirmation to validate the strength of reversals. A trader watches for a stock moving higher, then retracing to a previous support level—often a recent low or moving average—while volume diminishes during the pullback. Entry occurs when price shows signs of rejection at support with renewed buying volume. The strategy relies on the assumption that institutions and retail traders will defend established support levels, providing entry points for continuation 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: ADANIENT  ·  2024-05-13 to 2026-06-30
Total Return
-3.2%
CAGR
-1.7%
Sharpe Ratio
-0.92
Sortino Ratio
-1.38
Calmar Ratio
-0.5
Win Rate
14.3%
NSE Market Fit
5 OUT 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
202420252026
Jan
Feb -0.9%
Mar
Apr
May
Jun -0%
Jul -0.5%
Aug -2%
Sep +1%
Oct -0.8%
Nov
Dec
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
7 Total
Profitable 1 (14.3%)
Losing 6 (85.7%)
↑ Avg Win +1,007
↓ Avg Loss -707
★ Best Trade +1,007
▼ Worst Trade -1,004
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) ADANIENT ₹100,000 -3.2% -1.7% -3.4% 14.3% 7 -0.92 View
💡 Tip: Backtest on more data to increase confidence. Our users get best results with 3+ years of backtesting. Run Extended Backtest
How It Works (Quick Overview)
1
Step 1
Identify the market context — determine if conditions are trending or ranging, and confirm the higher timeframe direction
2
Step 2
Wait for the specific entry signal defined by the strategy rules — do not enter without full confirmation
3
Step 3
Execute with pre-defined stop loss and target — manage the trade according to the exit rules without discretionary override
View Detailed Rules & Setup →

Best Market Conditions

This strategy performs best in:

How This Strategy Works
1
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 ADANIENT · 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.

ParameterDefaultMinMaxTypeDescription
trend_ema 50 20 200 integer EMA defining the uptrend
dip_pct 5.0 2.0 15.0 decimal % pullback from recent high to qualify as dip
rsi_oversold 40 25 50 integer RSI level to confirm dip is oversold
atr_stop 2.0 1.0 3.0 decimal ATR multiple below entry for stop loss
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SEBI Compliance Disclaimer

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.