2000issue C011-5
Evaluating three-bar reversal reliability
The three-bar pattern completes with a breakout close after a unique middle-day low, yet sampled setups failed about one time in three and split almost evenly between swing reversals and consolidations. Editorial view: treat the shape as a short, falsifiable breakout hypothesis and a first filter, not as a standalone reversal.
- A three-bar pattern is complete on daily bars only when the middle day has the unique lowest low, the third day prints a breakout close above the prior day's high, and every bar has a nonzero range.
- In a sample of 245 patterns from 25 stocks, the pattern failure rate was 32%, completed setups split 49% swing reversals versus 51% consolidations, and a next-day higher high was only slightly better than even.
- Volume rose across the three days on average, but volume-price analysis did not reliably separate successful outcomes from pattern failure.
- The author treated the pattern as too weak and too common to trade alone and used it only as a supporting first filter when a broader stock decision was already under review.
How the three-bar pattern is identified
The studied three-bar pattern is defined on daily bars. The middle day has the unique lowest low, the last day prints a breakout close that finishes strictly above the prior day's high, and each day has a nonzero range.
What followed a completed setup
In the sampled stock set, 245 patterns from 25 unique stocks produced a 32% pattern failure rate, implying about two of three completed setups then rose.
Successful patterns averaged a 6% rise, while the most frequent outcomes clustered between 1% and 4%. A typical path to the swing high was about 7 days, and the most likely path was 2 days.
A higher high the day after the pattern ended occurred 58% of the time and declined to 52% one week later, so a next-day continuation high is only slightly better than even.
Completed patterns split almost evenly between swing reversals and consolidations, 49% versus 51%. The same three-bar shape often continues the prior move instead of reversing it.
Volume-price analysis as a check
Volume rose across the three days on average, with above-average volume on 33%, 36%, and 43% of days one through three. Volume-price analysis compared each pattern day's volume with average volume and the three-day volume trend, but volume did not reliably separate successful outcomes from pattern failure.
When the pattern is only a first filter
If the session after completion does not hold above the third day's low, the setup is more likely acting as a consolidation than a swing reversal, which keeps the implied short-term downside limited.
The author treated the pattern as too weak and too common to trade alone and used it only as a supporting first filter when a broader stock decision was already under review.
All readings on this track · 54 readings
- 1990Constructing three-session rally and reaction volume signals
- 1991Constructing candlestick real bodies and multi-session patterns
- 1991Treat a candlestick reversal as incomplete until %D confirms it
- 1991Filtering candlestick signals with stochastic percent-D
- 1991Constructing compressed candlestick summaries
- 1993Intraday candlestick confirmation with oscillators
- 1993Candlestick hypotheses from a 1993 reading list
- 1994License candlestick signals with oscillators and weekly vetoes
- 1995Real-body support, resistance, and close-through breakouts
- 1997Weekly reversal as a three-part hypothesis
- 1998Turning fear levels into testable rules with a psychological matrix
- 2000Evaluating three-bar reversal reliability
- 2000Prior-day candles, open confirmation, and same-session stops
- 2000Intraday candlestick volume confirmation for daytrading
- 2001Count the key reversal up before coding a mechanical exit
- 2001Rising and falling three continuation candle construction
- 2002Treat a moving average as a contested fence
- 2003Candlestick signals need support and a risk-reward screen
- 2003Constructing one-day reversal tops and bottoms
- 2003Chart sentiment as a regime filter for hourly stochastic entries
- 2004Confirming index reversals with candlesticks, stochastics and averages
- 2004The harami inner close as a reversal barometer
- 2004Constructing a true-range volume power-shift filter
- 2005Weighing reversal clusters against moving-average support
- 2005Candlestick exits confirmed by overbought stochastics
- 2005Confirming piercing patterns with stochastics and moving averages
- 2006Candlestick cluster exits confirmed by overbought stochastics
- 2007Three black crows become a trade hypothesis only after regime, trend and nearby levels
- 2008Asymmetrical RSI lookbacks for divergence and candle confirmation
- 2008A permission checklist for the end of a trend
- 2010Mechanical entries still need confirmation gates
- 2010Crude oil as a case study in candlestick session reading
- 2010Gold weekly candles and the thousand resistance breakout
- 2010A three-layer gold chart drill from waves to candle confirmation
- 2011Why entry scans fail without trend filters
- 2011Price-zone oscillator trend-regime rules
- 2011A candlestick checklist before commodity entries
- 2013Step candle construction at price turning points
- 2013Two-bar step-candle construction
- 2014Small-range bars as a timed volume-climax hypothesis
- 2014Constructing volume-scaled candlestick charts
- 2015Weekly range midpoints as support and resistance
- 2015Constructing weekly body-midpoint pattern codes
- 2015Evaluating encoded candlestick sequence hypotheses
- 2015Constructing a breakout relative-strength index from two-day range candles
- 2016A three-gate classroom on hourly sterling
- 2016Fibonacci retracement as a pre-commitment stop map
- 2017Nine-zone filter for decade-level breakouts
- 2017Constructing pin-bar and inside-bar setups
- 2017Two-bar soldier and crow rules become a system only after filters and exits
- 2017Confirm a one-white-soldier or one-black-crow before entry
- 2018Session control from marubozu and engulfing geometry
- 2019Volume, acceleration, and candle filters on a completed double bottom
- 2019Sector-filtered candlestick scans and predrawn stops