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ATR Mean Reversion

ATR 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
2–7 days moves
Indicators Used
2
RSI, ATR
Win Rate (Backtest)
35.7%
Below 50% threshold
Avg Return / Trade
+0.07%
Per trade, after costs
Max Drawdown
-1.8%
Within typical range
Trades / Year
14
Small sample — interpret with caution
About the ATR Mean Reversion Strategy
ATR Mean Reversion is a daily timeframe strategy that exploits temporary price dislocations by identifying oversold or overbought conditions and fading extreme moves back toward the mean. The strategy uses RSI to confirm exhaustion at price extremes, while ATR provides dynamic stop-loss and position sizing levels that adapt to current market volatility.

On the NSE, this approach is particularly relevant because Indian equities and futures exhibit pronounced intraday volatility spikes followed by consolidation, especially around market open and during news events. The liquidity in large-cap stocks and index futures is sufficient for reliable entry and exit execution. The strategy works by waiting for RSI to reach extreme levels, typically below 30 or above 70, signaling potential reversal zones. Entry signals are placed when price pulls back into more neutral RSI territory, with stops positioned beyond recent ATR-defined extremes.

This strategy suits traders looking for mean-reversion setups without requiring frequent monitoring, since entries and exits are based on daily closes. It works across both equity spot trading and futures segments, making it flexible for different account sizes and risk appetites.
Who This Strategy Is For
This Beginner strategy suits Beginner Traders comfortable with a Daily timeframe and holding periods around 2–7 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: BAJFINANCE  ·  2024-05-13 to 2026-06-30
Total Return
+1%
CAGR
0.5%
Sharpe Ratio
0.29
Sortino Ratio
0.44
Calmar Ratio
0.28
Win Rate
35.7%
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 Good
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
202420252026
Jan — — —
Feb — — +1.4%
Mar — — —
Apr — — —
May — -0.4% —
Jun — -0.7% —
Jul -0.5% — —
Aug +0.7% — —
Sep — +1.4% —
Oct — — —
Nov — -1.3% —
Dec +0.8% -0.5% —
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
14 Total
Profitable 5 (35.7%)
Losing 9 (64.3%)
↑ Avg Win +893
↓ Avg Loss -387
★ Best Trade +1,413
▼ Worst Trade -924
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) BAJFINANCE ₹100,000 +1% 0.5% -1.8% 35.7% 14 0.29 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:

Price 2+ ATR away from the mean EMA
RSI shows oversold or overbought extremes
Market showing no directional bias — range day
Stock quality high — large-cap NSE 200
ATR has expanded — good reversion potential
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
Price 2+ ATR away from the mean EMA
RSI shows oversold or overbought extremes
Market showing no directional bias — range day
Stock quality high — large-cap NSE 200
ATR has expanded — good reversion potential
✕ Avoid When
Price in strong momentum trend — ATR keeps expanding
Fundamental news driving the move
Small or mid-cap stocks with low liquidity
F&O ban stocks
When mean EMA is also trending sharply
Risk Management Rules
Risk Per Trade
1.0%
of total capital
Min Capital
₹30,000
Hold Period
2–7 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 BAJFINANCE · 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
WIPRO 2024-02-13 · Long
WIN
Entry ₹
₹488.00
Stop Loss ₹
₹462.00
Target ₹
₹528.00
Exit ₹
₹522.00
Wipro fell 2.3x ATR below its 20-day EMA (₹510) following broader IT sector weakness. RSI touched 28 — oversold. No fundamental bad news. Entered at ₹488 on a bullish hammer candle. Stop 2x ATR below at ₹462. Price reverted to 20 EMA within 8 sessions, exiting at ₹522.
Strategy Parameters
ParameterDefaultMinMaxTypeDescription
atr_period 14 5 30 integer ATR period
ema_period 20 10 100 integer EMA used as mean price level
atr_mult_entry 1.5 0.5 3.0 decimal Enter when price is N×ATR from EMA
atr_mult_stop 2.0 0.5 4.0 decimal Stop = entry + ATR×mult (against position)
rr 1.5 1.0 4.0 decimal Target when price returns to mean
Frequently Asked Questions
ATR Mean Reversion enters trades when price has moved an extreme multiple of ATR away from its average, betting that price will revert. It works best in range-bound markets and on high-quality NSE large-caps that have no fundamental reason for the extreme move.
A move of 2.0-2.5x the 14-period ATR below the 20-day EMA is considered extreme for NSE large-caps. For mid-caps which are more volatile, use 2.5-3.0x ATR. Always check that no negative news is driving the move before entering a mean reversion trade.
Target the 20-day EMA as your primary exit. For example, if a stock is 2.5 ATR below the EMA, your target is the EMA itself. Set a second target at 0.5 ATR above the EMA for a full mean reversion. Exit 50% of position at the EMA and trail the rest.
RSI below 30 on the daily chart combined with a 2+ ATR deviation from the mean provides the strongest confirmation. RSI between 30-40 is acceptable if the ATR deviation is 2.5 or more. Never enter a mean reversion trade when RSI is above 50 regardless of ATR reading.
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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.