Candlestick Pattern Probability Calculator
Free Candlestick pattern probability Calculator for technical analysis. Enter your numbers to see returns, costs, and optimized scenarios instantly.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Candlestick Pattern Probability Calculator
Calculator
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Formula: Adjusted Prob = Base Prob x Volume Mod x Trend Mod x S/R Mod x TF Mod x ATR Mod
Worked example — Adjusted reversal probability: 83.9% | Strong confluence setup with 4 confirming factors
Formula
Adjusted Prob = Base Prob x Volume Mod x Trend Mod x S/R Mod x TF Mod x ATR Mod
The base pattern probability from historical data is adjusted by multiplicative modifiers for volume confirmation, trend alignment, proximity to support/resistance, chart timeframe reliability, and volatility (ATR). The result represents the estimated probability of a successful signal under the given conditions.
Worked Examples
Example 1: Hammer at Support with Volume Confirmation
Problem:A hammer pattern forms at a key support level during a downtrend on the daily chart with above-average volume. ATR is 2.0%. Estimate the reversal probability.
Solution:Base hammer reversal probability: 60% Volume modifier (above-avg): x1.08 Trend alignment (downtrend + hammer): x1.10 Support/Resistance (at support): x1.12 Timeframe (daily): x1.00 ATR modifier (2.0%): x1.05 Adjusted: 60 x 1.08 x 1.10 x 1.12 x 1.00 x 1.05 = 83.9% Capped at 95%, result: 83.9%
Result:Adjusted reversal probability: 83.9% | Strong confluence setup with 4 confirming factors
Example 2: Doji in Mid-Range with Low Volume
Problem:A doji forms in the middle of a trading range on a 15-minute chart with below-average volume. ATR is 0.5%.
Solution:Base doji reversal probability: 52% Volume modifier (below-avg): x0.92 Trend alignment (no clear trend): x0.95 S/R (mid-range): x0.95 Timeframe (15min): x0.85 ATR modifier (0.5%): x0.90 Adjusted: 52 x 0.92 x 0.95 x 0.95 x 0.85 x 0.90 = 31.1%
Result:Adjusted reversal probability: 31.1% | Low-confidence signal - insufficient confluence
Frequently Asked Questions
How reliable are candlestick patterns for predicting price movements?
Candlestick patterns provide probabilistic signals rather than certainties, with historical accuracy rates typically ranging from 50 to 72 percent depending on the pattern and market conditions. Single-candle patterns like doji and spinning tops have lower predictive reliability around 50 to 55 percent, while multi-candle patterns like morning star, three white soldiers, and engulfing patterns tend to be more reliable at 60 to 72 percent. However, these probabilities improve significantly when combined with confirming factors such as volume analysis, support and resistance levels, trend alignment, and technical indicators like RSI or MACD. Academic studies including Thomas Bulkowski's extensive research show that candlestick patterns work best when used as part of a comprehensive trading system rather than as standalone signals.
What factors increase the probability of a candlestick pattern working?
Several confluence factors significantly improve candlestick pattern reliability. Volume confirmation is among the most important: a reversal pattern forming on above-average volume has substantially higher success rates because it indicates genuine participation by market participants. Occurring at key support or resistance levels adds another layer of validation, as these are price points where supply and demand dynamics historically shift. Trend alignment matters: bearish reversal patterns are most reliable after extended uptrends, and bullish reversals after extended downtrends. Timeframe also plays a critical role; daily and weekly chart patterns are more reliable than intraday patterns because they represent more significant price action and involve more participants. Combining three or more confirming factors can raise pattern success rates to 70 percent or higher.
What is the difference between reversal and continuation candlestick patterns?
Reversal patterns signal a potential change in the prevailing trend direction, while continuation patterns suggest the current trend will persist after a brief pause. Key reversal patterns include hammer and inverted hammer (bullish reversal), shooting star and hanging man (bearish reversal), and multi-candle patterns like morning star (bullish) and evening star (bearish). Engulfing patterns can be either bullish or bearish depending on whether the engulfing candle is bullish or bearish. Continuation patterns include rising and falling three methods, tasuki gaps, and in-neck patterns. The distinction is critical for trading strategy: reversal patterns at support or resistance levels in a trending market provide high-probability entry signals, while continuation patterns within a trend confirm that pullbacks are temporary and the trend remains intact.
How should the Kelly criterion be applied to candlestick-based trading?
The Kelly criterion calculates the optimal position size to maximize long-term portfolio growth based on the edge (win probability) and the payoff ratio (reward-to-risk). The formula is: Kelly % = (p x b - q) / b, where p is win probability, q is loss probability (1-p), and b is the reward-to-risk ratio. For a candlestick pattern with 60 percent success rate and 2:1 reward-to-risk, Kelly suggests risking (0.60 x 2 - 0.40) / 2 = 40 percent of capital. However, most professional traders use fractional Kelly (typically one-quarter to one-half Kelly) because the full Kelly criterion assumes perfectly known probabilities and can lead to excessive drawdowns. With candlestick patterns where probabilities are estimated rather than precisely known, quarter-Kelly (10 percent in this example) provides a more conservative approach that protects against model uncertainty while still optimizing growth.
Why do candlestick patterns perform differently across timeframes?
Candlestick pattern reliability varies across timeframes primarily due to the amount of market noise relative to genuine price signals. On very short timeframes like one-minute and five-minute charts, random price fluctuations (market microstructure noise, bid-ask bounce, and algorithmic trading activity) create many false patterns that appear valid but lack meaningful participation from price-driving participants. As the timeframe increases, each candle represents more trading activity and more significant decision-making by market participants. Daily candles encompass all trading sessions and reflect institutional participation, making patterns more meaningful. Weekly and monthly candles show even stronger signals but generate fewer trading opportunities. Research shows daily chart patterns achieve approximately 15 to 25 percent higher success rates than the same patterns on five-minute charts, with the improvement being most pronounced for complex multi-candle patterns.
References
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer · Editorial policy
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