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Support Resistance Trading

Support Resistance Trading

Beginner Daily 8/10 Popularity

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
8.2 / 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)
50%
Above 50% threshold
Avg Return / Trade
+0.07%
Per trade, after costs
Max Drawdown
-1.3%
Within typical range
Trades / Year
6
Small sample — interpret with caution
About the Support Resistance Trading Strategy
Support Resistance Trading capitalizes on price levels where supply and demand create natural friction in price movement. The strategy identifies horizontal price zones where the market has repeatedly reversed or paused, then enters positions as price tests these levels again. The core insight is that NSE-listed stocks often respect these technical levels consistently, particularly at round numbers and psychological price points where institutional orders accumulate.

This approach works well on NSE because the exchange's high liquidity in large-cap equities ensures reliable price discovery at support and resistance zones. Daily timeframes capture the most stable and least whipsawed setups, filtering out the noise common in intraday trading while remaining accessible for active traders. The strategy requires monitoring volume confirmation at these levels—buying when price approaches support on higher volume signals genuine demand, rather than capitulation.

A typical setup involves identifying 2-3 touch points forming a resistance level, then watching for a pullback toward support with volume decline, followed by a reversal attempt back toward resistance. Price Action combined with volume analysis removes much of the subjectivity from level selection and entry timing, making it suitable for traders new to systematic approaches.
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: AXISBANK  ·  2024-05-13 to 2026-06-30
Total Return
+0.4%
CAGR
0.2%
Sharpe Ratio
0.21
Sortino Ratio
0.32
Calmar Ratio
0.15
Win Rate
50%
NSE Market Fit
8 OUT OF 10
Very High Fit
This strategy is well-suited for current NSE market conditions.
Win rate quality Good
Risk-adjusted return Good
Drawdown control Excellent
Trade frequency (sample size) Needs Caution
Sharpe ratio Needs Caution
Monthly Returns Heatmap
202420252026
Jan +0.2%
Feb
Mar
Apr
May
Jun
Jul -0.4%
Aug
Sep +0.2% +1.1%
Oct
Nov
Dec -0.7%
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
6 Total
Profitable 3 (50%)
Losing 3 (50%)
↑ Avg Win +685
↓ Avg Loss -537
★ Best Trade +1,094
▼ Worst Trade -671
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) AXISBANK ₹100,000 +0.4% 0.2% -1.3% 50% 6 0.21 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
⚠️ Price action setups are subjective by nature — the most common mistake is inconsistent rule application from trade to trade. Backtested results assume the rules are followed mechanically, not interpreted loosely.
Full Backtest Report

Backtested on AXISBANK · 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
ParameterDefaultMinMaxTypeDescription
sr_lookback 50 20 100 integer Bars to identify key support and resistance levels
sr_touches 2 2 5 integer Minimum times level must be tested to qualify
trade_type bounce select Trade bounces or breakouts at S/R
atr_stop 1.5 1.0 3.0 decimal ATR multiple beyond S/R level for stop
Frequently Asked Questions
Support and Resistance works because of memory — traders who previously bought at support remember that level as value and buy again when price returns. Traders who sold at resistance remember it as overvalued and sell again when price returns. This collective memory creates self-fulfilling price reactions at historically significant levels.
Significance is determined by: number of touches (more touches = more significant), time since formation (recent levels are stronger than old ones), volume at the level (higher volume = more institutional memory), and whether the level represents a round number or major milestone (52-week high/low, all-time high). The strongest levels satisfy multiple criteria simultaneously.
After a decisive break, the key principle of role reversal applies — former resistance becomes new support and former support becomes new resistance. Trading retests of these flipped levels (after confirmation of the break) provides high-probability setups, as the institutional memory that previously sold resistance now buys at the same level after it flips to support.
S/R lines treat support/resistance as a precise price point, while S/R zones acknowledge that institutional activity occurs across a price range rather than at an exact level. Zones (typically 0.5-1% wide for swing trading) provide more realistic entry buffers and stop placement flexibility compared to single-line analysis that generates excessive false signal flags from minor line penetrations.
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Dynamic Support Resistance
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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.