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Dynamic Support Resistance

Dynamic Support Resistance

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
3–10 days moves
Indicators Used
2
Price Action, Volume
Win Rate (Backtest)
25%
Below 50% threshold
Avg Return / Trade
-0.04%
Per trade, after costs
Max Drawdown
-1.9%
Within typical range
Trades / Year
8
Small sample — interpret with caution
About the Dynamic Support Resistance Strategy
Dynamic Support Resistance is a price action strategy that identifies key support and resistance levels formed by recent price swings and uses volume confirmation to time entries and exits. The strategy captures mean reversion and breakout opportunities by recognizing where institutional buyers and sellers have historically defended price levels.

On the NSE, this approach works well because Indian equity and futures markets exhibit distinct volatility patterns within standard market hours, particularly around the open and close. The high intraday liquidity in large-cap stocks and index futures provides reliable price discovery at support and resistance zones, making these levels more actionable than in lower-liquidity sessions.

The setup focuses on identifying swing highs and lows from the previous 5-10 days, then watching for price rejection or breakout at these levels on daily candles. Volume acts as confirmation—declining volume on tests of support suggests weakness, while expanding volume on resistance breaks indicates genuine directional intent. Traders typically enter bounces near support with stops below the level, or breakouts above resistance with confirmation from positive volume.

This strategy suits beginners because it relies on visible price structure rather than complex calculations, making it intuitive to learn and apply on NSE instruments.
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: BRITANNIA  ·  2024-05-13 to 2026-06-30
Total Return
-0.3%
CAGR
-0.2%
Sharpe Ratio
-0.11
Sortino Ratio
-0.17
Calmar Ratio
-0.11
Win Rate
25%
NSE Market Fit
8 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 -0.4%
Feb
Mar -0% -0.2%
Apr
May
Jun
Jul
Aug -0.5%
Sep +0.8% +1.4%
Oct -0.6%
Nov -0.7%
Dec
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
8 Total
Profitable 2 (25%)
Losing 6 (75%)
↑ Avg Win +1,095
↓ Avg Loss -414
★ Best Trade +1,352
▼ Worst Trade -722
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) BRITANNIA ₹100,000 -0.3% -0.2% -1.9% 25% 8 -0.11 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:

Multiple pivot points creating a clear zone
Zone validated by 3+ touches across multiple sessions
Price approaching zone from the right side
RSI at neutral or oversold for support play
Sector not showing broad weakness
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
Multiple pivot points creating a clear zone
Zone validated by 3+ touches across multiple sessions
Price approaching zone from the right side
RSI at neutral or oversold for support play
Sector not showing broad weakness
✕ Avoid When
Zone too wide — more than 2% — unclear level
Only 2 touches — insufficient validation
Strong momentum breaking all levels — avoid fading
Around results or policy events
Small-cap stocks with thin trading — S/R levels easily overridden
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
⚠️ 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 BRITANNIA · 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
GAIL 2024-02-07 · Long
WIN
Entry ₹
₹182.00
Stop Loss ₹
₹172.00
Target ₹
₹202.00
Exit ₹
₹200.00
GAIL dynamic support zone at ₹172–₹176 — validated by 4 touches across 6 weeks, each creating a pivot low in that area. On Feb 7, price dipped to ₹174 (zone center) with a hammer candle and 1.7x volume. RSI at 38 — not oversold yet — room to move. Gas sector benefiting from falling LNG prices. Entered ₹182. Stop ₹172. Target ₹202. Hit in 14 sessions.
Strategy Parameters
ParameterDefaultMinMaxTypeDescription
pivot_lookback 5 3 15 integer Bars each side for pivot detection
zone_width_pct 0.3 0.1 1.0 decimal Width of S/R zone as % of price
min_touches 2 2 5 integer Touches needed to validate zone
atr_mult 1.5 0.5 3.0 decimal Stop beyond S/R zone
rr 2.0 1.0 5.0 decimal Target at next S/R level
Frequently Asked Questions
Dynamic Support and Resistance refers to levels that move with price over time, typically formed by moving averages or trendlines, as opposed to fixed horizontal price levels. Common dynamic levels include the 20, 50, and 200-day moving averages, which act as continuously shifting reference points for price interaction.
The 20-day EMA serves as short-term dynamic support/resistance for active trends, the 50-day EMA for intermediate-term trends, and the 200-day SMA for long-term major trend context. Price respecting these levels with repeated bounces confirms their significance for that particular stock or index.
Wait for price to approach the moving average with a clear rejection candle (hammer, bullish engulfing) and ideally declining volume on the approach. Enter on the confirming candle's close with a stop just below the moving average level, targeting the prior swing high or next resistance.
Require a daily close below the moving average (not just an intraday touch) combined with the moving average itself beginning to flatten or turn downward, and increased volume on the breakdown. A single intraday dip that closes back above the average does not constitute a genuine break.
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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.