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Wyckoff Spring Strategy

Wyckoff Spring Strategy

Intermediate Daily 8/10 Popularity

Based on Richard Wyckoff's institutional accumulation and distribution methodology. Identifies the footprints of smart money before major price moves — well-suited for NSE given strong FII participation.

Complexity
Intermediate
Easy to implement
NSE Suitability
High
8.2 / 10 score
Timeframe
Daily
Short to medium term
Best For
Swing & Positional Traders
5–15 days moves
Indicators Used
1
Wyckoff
Win Rate (Backtest)
14.3%
Below 50% threshold
Avg Return / Trade
-0.19%
Per trade, after costs
Max Drawdown
-2.9%
Within typical range
Trades / Year
7
Small sample — interpret with caution
Who This Strategy Is For
This Intermediate strategy suits Swing & Positional 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.
Equity Curve (Backtest) HIGH QUALITY
Tested on: NTPC  ·  2024-05-13 to 2026-06-30
Total Return
-1.4%
CAGR
-0.7%
Sharpe Ratio
-0.58
Sortino Ratio
-0.87
Calmar Ratio
-0.24
Win Rate
14.3%
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 +0.9%
Feb
Mar
Apr
May -0.6%
Jun
Jul -0.7%
Aug -0.9%
Sep -0.1%
Oct -0.1%
Nov
Dec
Positive return Negative return
Performance vs Nifty 50
Nifty 50 comparison isn't available for this backtest period yet.
Trade Distribution
7 Total
Profitable 1 (14.3%)
Losing 6 (85.7%)
↑ Avg Win +887
↓ Avg Loss -373
★ Best Trade +887
▼ Worst Trade -683
Returns Distribution
Recent Backtest Results
Period Symbol Capital Total Return CAGR Max Drawdown Win Rate Trades Sharpe Ratio View
2 Years (2024–2026) NTPC ₹100,000 -1.4% -0.7% -2.9% 14.3% 7 -0.58 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 NTPC · 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
support_lookback 30 15 60 integer Bars to identify Wyckoff support level
spring_atr 0.5 0.25 1.5 decimal ATR distance below support for spring to qualify
recovery_bars 3 1 8 integer Bars closing back above support to confirm spring
atr_stop 1.0 0.5 2.0 decimal ATR multiple below spring low for stop loss
Frequently Asked Questions
The Wyckoff Spring is the final test in an accumulation phase where price briefly breaks below the established support of the accumulation range, triggering stop losses and attracting short sellers, before quickly recovering above support with strength. This deceptive false breakdown is the last test of supply before the markup phase begins, offering an excellent risk-reward entry.
The Spring confirmation (Sign of Strength) shows: a strong, high-volume bullish bar that pushes price back above the accumulation range support, followed by a Test of the Spring (price returns to the spring level on low volume and holds — supply is absent at this level now), then a break above the range's last high (Back Up to the Creek).
Three valid entry points: (1) Immediately on the Spring reversal bar close (aggressive, highest reward, highest risk of being a false Spring). (2) On the low-volume Test following the Spring (confirmation, moderate reward and risk). (3) On the first Breaking of the Ice (price closing above the accumulation range resistance after the Spring) — most conservative but confirmed.
Wyckoff's Point and Figure (P&F) methodology counts the width of the accumulation range horizontally to project the subsequent upside target — wider, longer accumulation produces larger markup targets. While P&F is complex, a simpler approach measures the accumulation range height and projects it upward from the Spring low as an initial minimum target.
Related Strategies

Looking for alternatives? Price Action Trading is a similar Beginner strategy in the same PriceAction category, with High NSE suitability.

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Beginner · Daily
Smart Money Concept (SMC)
Intermediate · Daily
Smart Money Reversal
Intermediate · Daily
Spring Wyckoff
Intermediate · Daily
Support Resistance Trading
Beginner · Daily

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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.