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RSI Mean Reversion

RSI Mean Reversion

Beginner Daily 9/10 Popularity

Uses the Relative Strength Index to identify overbought and oversold conditions on NSE charts. A beginner approach that works well as both a standalone signal and a filter for other strategies.

Complexity
Beginner
Easy to implement
NSE Suitability
High
9.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Beginner Traders
3–10 days moves
Indicators Used
1
RSI
Win Rate (Backtest)
33.3%
Below 50% threshold
Avg Return / Trade
-0.13%
Per trade, after costs
Max Drawdown
-1.2%
Within typical range
Trades / Year
3
Small sample — interpret with caution
About the RSI Mean Reversion Strategy
RSI Mean Reversion is a daily timeframe strategy that exploits overbought and oversold conditions in NSE-listed equities and futures. The strategy capitalizes on the tendency of prices to snap back after reaching extreme momentum readings, rather than continuing in the same direction indefinitely.

The Relative Strength Index (RSI) oscillates between 0 and 100, with readings above 70 typically signaling overbought conditions and readings below 30 indicating oversold territory. This strategy enters long positions when RSI drops below 30, betting on a bounce back toward the mean. Conversely, it enters short positions when RSI exceeds 70, anticipating pullbacks.

NSE equities and futures are well-suited to this approach due to consistent intraday volatility patterns and sufficient liquidity in major indices and large-cap stocks. The extended trading hours and daily price swings create reliable extremes for RSI to identify. The strategy works best during non-holiday sessions when volume remains steady.

This is fundamentally a beginner-level strategy because RSI is straightforward to calculate and interpret. It requires minimal indicator tuning and works across both cash and derivatives segments, making it accessible for traders building foundational mean reversion skills on the NSE.
Who This Strategy Is For
This Beginner strategy suits Beginner Traders comfortable with a Daily timeframe and holding periods around 3–10 days. It's built for the Equity, Futures 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: HINDUNILVR  ·  2024-05-13 to 2026-06-30
Total Return
-0.4%
CAGR
-0.2%
Sharpe Ratio
-0.19
Sortino Ratio
-0.29
Calmar Ratio
-0.17
Win Rate
33.3%
NSE Market Fit
9 OUT OF 10
Very High 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 +0.5%
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov -0.3%
Dec -0.6%
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
3 Total
Profitable 1 (33.3%)
Losing 2 (66.7%)
↑ Avg Win +547
↓ Avg Loss -469
★ Best Trade +547
▼ Worst Trade -594
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) HINDUNILVR ₹100,000 -0.4% -0.2% -1.2% 33.3% 3 -0.19 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:

RSI drops below 30 in an overall uptrend
Large-cap quality stock — temporary dip
Price at key support zone — confluence with RSI
Market correction but fundamentals intact
FII selling appears to slow
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
✓ Entry Conditions
RSI drops below 30 in an overall uptrend
Large-cap quality stock — temporary dip
Price at key support zone — confluence with RSI
Market correction but fundamentals intact
FII selling appears to slow
✕ Avoid When
RSI below 30 in a downtrend — not a mean reversion
Fundamental bad news — profits warning, management issues
Small-cap stocks with high delivery risk
When 200 EMA is falling — structural bear market
During broad market crash
Risk Management Rules
Risk Per Trade
1.0%
of total capital
Min Capital
₹30,000
Hold Period
3–10 days
Segment
Equity, Futures
Common Mistakes to Avoid
⚠️ Mean reversion strategies lose the most money when a stock is actually trending, not ranging — the biggest mistake is applying this strategy blindly without checking whether the broader trend is against the trade.
Full Backtest Report

Backtested on HINDUNILVR · 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.

Sample Trade Walkthrough
HCLTECH 2024-02-21 · Long
WIN
Entry ₹
₹1,412.00
Stop Loss ₹
₹1,364.00
Target ₹
₹1,508.00
Exit ₹
₹1,506.00
HCL Technologies corrected 12% in 3 weeks, pushing RSI to 27 on Feb 21. The stock was in a structural uptrend (above 200 EMA). No fundamental deterioration — just sector rotation. Entered at ₹1,412 on the oversold reading. Stop at ₹1,364 (prior support). RSI recovered to 55 within 13 sessions, with price at ₹1,506.
Strategy Parameters
ParameterDefaultMinMaxTypeDescription
rsi_period 14 7 30 integer RSI lookback period
oversold 30 20 40 integer Enter long when RSI drops below this
exit_level 50 45 70 integer Exit when RSI reaches this level
ema_filter 200 50 200 integer Only buy when price above this EMA
atr_mult 2.0 0.5 4.0 decimal Stop = ATR × multiplier
rr 2.0 1.0 4.0 decimal Target RR
Frequently Asked Questions
Buy when RSI drops below 30 in a stock that is overall in an uptrend (price above 200 EMA). For aggressive traders, 35 can work on strong stocks. Do not buy below 20 RSI without a reversal candle — free-falling stocks can stay oversold for weeks. The sweet spot is RSI 25–30 with a bullish hammer or engulfing candle.
RSI Mean Reversion simply buys extreme RSI levels expecting a return to 50. RSI Divergence requires price and RSI to move in opposite directions — a more complex pattern. Mean reversion is simpler and more mechanical — useful for beginners. Divergence requires pattern recognition and is better for experienced traders.
Target RSI returning to 50–55 (neutral zone) — which typically corresponds to price returning to the 20-day EMA. On most quality NSE large-cap stocks, this means a 3–7% recovery from the oversold extreme. Set trailing stop to protect profits once RSI crosses above 45.
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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.