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Accumulative Swing Index

Accumulative Swing Index

Beginner ★ Very High NSE Fit Daily / Weekly 9/10 Popularity

A beginner swing trading strategy designed to capture 2–10 day directional moves on NSE stocks and indices. Requires only 20–30 minutes of analysis per day — ideal for working professionals.

Complexity
Beginner
Easy to implement
NSE Suitability
Very High
9.2 / 10 score
Timeframe
Daily / Weekly
Short to medium term
Best For
Swing Traders
5–15 days moves
Indicators Used
2
Price Action, Volume
Win Rate (Backtest)
12.5%
Below 50% threshold
Avg Return / Trade
-0.39%
Per trade, after costs
Max Drawdown
-3.3%
Within typical range
Trades / Year
8
Small sample — interpret with caution
About the Accumulative Swing Index Strategy
The Accumulative Swing Index strategy captures directional momentum by tracking the relationship between closing price, opening price, and true range across multiple periods. It identifies swing highs and lows in price action while incorporating volume confirmation to filter out weak moves. The strategy aims to catch intermediate-term trends on the daily and weekly timeframes where institutional flow and retail participation create sustained directional bias.

On the NSE, this approach works well because Indian equities and futures exhibit pronounced swing patterns during regular market hours, particularly around the open and close when liquidity concentrates. The strategy exploits how volume clusters at support and resistance levels before breakouts, which is consistent behavior in liquid NSE names. By measuring successive price closes relative to previous opens and ranges, traders can distinguish between noise and genuine directional conviction.

The setup typically triggers when the accumulative index reaches extreme levels while volume expands beyond recent averages, signaling that buyers or sellers are taking control. Position entry occurs at pullbacks into prior swing levels, with stops placed beyond the swing extreme that prompted the signal. This mechanical approach suits daily and weekly charts where false signals are less frequent than intraday work.
Who This Strategy Is For
This Beginner strategy suits Swing Traders comfortable with a Daily / Weekly timeframe and holding periods around 5–15 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: COALINDIA  ·  2024-05-13 to 2026-06-30
Total Return
-3.1%
CAGR
-1.7%
Sharpe Ratio
-1.35
Sortino Ratio
-2.03
Calmar Ratio
-0.52
Win Rate
12.5%
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
Feb
Mar -0.9%
Apr
May
Jun -0.9%
Jul
Aug -0.5%
Sep
Oct -0.9% -0.9%
Nov
Dec +1%
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
8 Total
Profitable 1 (12.5%)
Losing 7 (87.5%)
↑ Avg Win +988
↓ Avg Loss -589
★ Best Trade +988
▼ Worst Trade -938
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) COALINDIA ₹100,000 -3.1% -1.7% -3.3% 12.5% 8 -1.35 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 higher timeframe trend on the weekly chart — only trade in the direction of the dominant trend
2
Step 2
Wait for a pullback to a key support level, EMA, or chart pattern completion on the daily chart
3
Step 3
Enter on a confirmation candle — set stop below the swing low, target the next resistance level for minimum 1:2 RR
View Detailed Rules & Setup →

Best Market Conditions

This strategy performs best in:

ASI making new highs while confirming price breakout
ASI diverges from price — early signal of reversal
Trending market where ASI signal is clean
High-liquidity stocks — Nifty 50 or Nifty Next 50
Combined with volume analysis for confirmation
How This Strategy Works
1
Identify the higher timeframe trend on the weekly chart — only trade in the direction of the dominant trend
2
Wait for a pullback to a key support level, EMA, or chart pattern completion on the daily chart
3
Enter on a confirmation candle — set stop below the swing low, target the next resistance level for minimum 1:2 RR
Entry & Exit Rules
✓ Entry Conditions
ASI making new highs while confirming price breakout
ASI diverges from price — early signal of reversal
Trending market where ASI signal is clean
High-liquidity stocks — Nifty 50 or Nifty Next 50
Combined with volume analysis for confirmation
✕ Avoid When
Choppy market — ASI whipsaws
Low-liquidity stocks — ASI based on OHLC which may not be clean
Standalone signal — always combine with price action
During event-driven days — ASI unreliable
Very volatile intraday moves distorting daily ASI
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
⚠️ With multi-day holds, the main risk is overnight/weekend gap risk on NSE — position sizing should account for gap moves, not just the intraday stop distance.
Full Backtest Report

Backtested on COALINDIA · 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 2024-01-18 · Long
WIN
Entry ₹
₹162.00
Stop Loss ₹
₹155.00
Target ₹
₹176.00
Exit ₹
₹175.00
GAIL ASI line crossed above its 9-period signal EMA on Jan 18, confirming the price breakout above ₹158 resistance. ASI had been making higher lows for 3 weeks while price was consolidating — positive divergence. Entered at ₹162. Stop at ₹155 (below ASI signal level support). Target ₹176 achieved in 15 sessions on energy sector rally.
Strategy Parameters
ParameterDefaultMinMaxTypeDescription
limit_move 1000.0 100.0 5000.0 decimal Maximum price move limit for ASI calculation
ema_signal 9 3 20 integer EMA of ASI for crossover signal
atr_mult 2.0 0.5 4.0 decimal Stop = ATR × multiplier
rr 2.0 1.0 5.0 decimal Target RR
Frequently Asked Questions
The Accumulative Swing Index (ASI) is a running total of Wilder's Swing Index, which measures the strength of price swings by comparing today's range to yesterday's range weighted by volume and close position. It creates a cumulative line that filters out noise and shows the true trend direction more clearly than raw price.
When the ASI breaks above a prior swing high, it confirms the price breakout — enter long. When ASI breaks below a prior swing low, it confirms a breakdown — enter short. The key advantage is that ASI breakouts filter out false breakouts that appear on price charts but are not supported by volume and range strength.
ASI was designed for futures and works best on continuous contracts. On NSE cash equities with dividend gaps and corporate actions, ASI can give misleading readings around ex-dates. Always use a 20-period EMA of ASI as a signal line rather than trading raw ASI crossovers.
Daily charts are most reliable for ASI as they capture the full day's price action including institutional order flow. On intraday charts below 15 minutes, ASI becomes too noisy. Use daily ASI for swing trade direction and 15-minute ASI for intraday entry timing within the daily trend.
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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.