Pattern direction

CandlestickBullish: White marubozuBearish: Black marubozu

Marubozu Candlestick Pattern: A Complete Guide to Trading the Signal

A candle with no shadows: it opens at one end of its range and closes at the other. This guide covers the white and black marubozu, how to trade them and how they did against chance.

· Founder of PatternsWizard
Updated Statistics updated 18 min read
White marubozu patternBlack marubozu pattern
At a glance: what textbooks say, what we measured
Pattern
Bullish: White marubozu
Occurrences tested
145,183 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · −0.10% vs the market, 10 bars
Where it did best, US stocks left out
Crypto, 4-hour: +0.06 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: Weak, below chance2:1 trade: No clear edge
Pattern
Bearish: Black marubozu
Occurrences tested
135,183 occurrences, all markets, daily
Textbook: price should fall after it
The opposite · −0.14% vs the market, 10 bars
Its best market and timeframe, still negative
Crypto, 1-hour: −0.03 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: Opposite of the textbook2:1 trade: No clear edge

See the statistics

On this page
  1. What is a marubozu candlestick?
  2. Understanding the psychology behind a marubozu
  3. Types of marubozu candles
  4. Bullish vs. bearish marubozu: how to identify them
  5. How to identify a marubozu on your charts
  6. The importance of market context
  7. Real examples
  8. How to trade the marubozu pattern
  9. Comparing marubozu to other candlestick patterns
  10. Common mistakes to avoid when trading marubozu
  11. Statistical reliability of the marubozu pattern
  12. Best timeframes for identifying marubozu signals
  13. Case studies of the marubozu
  14. Limitations and risks of the marubozu pattern
  15. Frequently asked questions
  16. Summary and final trading tips

A marubozu candlestick is a single candle with a long real body and no shadows, or almost none: the session opens at one extreme of its range and closes at the other. A white (bullish) marubozu opens at the low and closes at the high; a black (bearish) marubozu opens at the high and closes at the low. Classical candlestick analysis reads it as a sign that one side, buyers or sellers, controlled the entire session.

This guide covers the meaning of the marubozu, its types, how to identify it on a chart and how to trade it. It also shows what happened next. Our test bench applied the same rule to full price history, 145,183 white and 135,183 black ones on daily charts alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random bars on the same assets.

What is a marubozu candlestick?

The marubozu candlestick pattern is a one-candle formation defined only by its shape: a long body that fills the whole range of the session. It can be bullish or bearish, and it can appear anywhere in a trend.

Definition and origin of the term

Marubozu is a Japanese word translated as "bald head" or "shaved head": the candle has no hair (no wick) at either end. Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), lists it among the basic candle lines. In technical analysis terms, it is a long day candle with the shadows removed.

Our bench uses a rule a computer can apply without judgment, adapted from the open-source TA-Lib library (function CDLMARUBOZU): a body that is long compared with the bodies of the prior candles, and an upper and lower shadow that are both very short compared with their recent range. Our bar for a long body is stricter than TA-Lib's: more than 1.3 times the average body of the previous 10 candles, where TA-Lib asks for the average itself. No prior trend is required.

Unique physical characteristics

  • A long real body, clearly larger than the average of the recent candles.
  • No upper wick, or a very small one: the high is at, or next to, the top of the body.
  • No lower wick, or a very small one: the low is at, or next to, the bottom of the body.
  • Color decides the direction: white or green is bullish, black or red is bearish.

One detail surprised us. On the median occurrence our bench found on daily charts, a white marubozu spans 2.76% of price, or 1.06 times the average true range (ATR) of the asset. The typical marubozu is not a giant candle: its range is close to an ordinary session. What makes it special is that the whole range is body.

Understanding the psychology behind a marubozu

A bullish marubozu tells the story of a session where buyers never let go. Price opens, never trades below the opening level, climbs through the session and closes at the high. No seller managed to push price back during the session, and no buyer took profits before the end. A bearish marubozu is the mirror: sellers in control from the open to the close, with no rebound.

Classical candlestick analysis reads this as momentum: the side that controlled one session may control the next ones. That reading is plausible, but it describes one candle. Whether one session of strong buying or selling predicts the following bars is a question for data, and our data gives a clear answer in the reliability section below.

Types of marubozu candles

There are three types of marubozu, depending on which wick is missing.

Full marubozu

The full marubozu has no wick at all: open and close are the high and low of the session. It is the strict textbook version. On real charts a perfect one is rare, so detection rules, including ours, accept very short shadows.

Opening marubozu

The opening marubozu has no wick at the opening end: a bullish one opens at the low, a bearish one opens at the high, and a small shadow remains at the closing end. When it appears after a decline (bullish) or after a rally (bearish), it is also called a belt hold.

Closing marubozu

The closing marubozu has no wick at the closing end: a bullish one closes at the high, a bearish one closes at the low, with a small shadow at the opening end. One reading ranks it as the stronger of the two partial types, because the close is the price that the market accepted at the end of the session. Our bench does not test the opening marubozu on its own, so it cannot settle that ranking. It does show that the closing version did worse than chance: on 370,811 daily white closing marubozu candles, 52.8% were higher 10 bars later, against 54.1% for random bars, an average excess return of −0.12%, rated worse than chance, close to the result of the full white marubozu.

Bullish vs. bearish marubozu: how to identify them

123
  1. Very short upper shadow
  2. Long white body
  3. Very short lower shadow
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.
123
  1. Very short upper shadow
  2. Long black body
  3. Very short lower shadow
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.
TPSLEntryBullish
Bullish setup on the median shape of 3,000 daily occurrences drawn at random from all markets, with entry, stop loss (SL) and 2:1 target (TP)

The bullish marubozu: high buying pressure

A bullish marubozu opens at or near the low of the session and closes at or near the high. The candle is white or green, with a long body. In terms of price action, buyers controlled the market from the first trade to the last. Classical candlestick analysis reads it as bullish continuation in an uptrend, and as a possible reversal after a decline.

The bearish marubozu: intense selling pressure

A bearish marubozu opens at or near the high and closes at or near the low. The candle is black or red. Sellers controlled the session from start to finish, and buyers never managed a rebound. The classical reading sees bearish continuation in a downtrend, and a possible reversal after a rally.

TPSLEntryBearish
Bearish setup on the median shape of 3,000 daily occurrences drawn at random from all markets, with entry, stop loss (SL) and 2:1 target (TP)

The charts above are not drawn by hand. They show the median shape of the marubozu candles our bench detected, and the lines of the trade we test: for the bullish version, entry above the high, stop loss at the low, target at twice the risk; for the bearish version, the same trade upside down.

How to identify a marubozu on your charts

Three checks are enough, in this order.

Step 1: analyze the candle body length

Compare the body with the last 10 candles. On our bench, a marubozu body is more than 1.3 times their average body, a stricter bar than TA-Lib's. A small candle without wicks is not a marubozu: it carries little information because little happened during the session.

Step 2: verify the absence of wicks

Check that the upper and lower shadows are both very short compared with the range of recent candles. A long wick at either end means the session was contested, and the candle becomes a long day candle or, with a small body, a spinning top.

Step 3: confirm with trading volume

Classical candlestick analysis reads volume above average on the marubozu as a sign that the move had participation. We measured it. On daily charts, white marubozu candles printed on volume above 1.5 times the 20-day average reached the 2:1 target in 36.5% of cases, against 35.9% on normal volume, with an expectancy of +0.10 R against +0.07 R. For black marubozu candles, high volume changed nothing (28.4% against 29.3%). The breakdown is descriptive (not corrected for the number of tests): treat volume as a mild plus, not a filter that changes the odds.

The importance of market context

The same marubozu candle is read differently depending on where it appears.

Marubozu in a trend continuation

A white marubozu in an uptrend, or a black one in a downtrend, is read in classical analysis as the trend gaining strength. We split daily occurrences by the prior trend (price compared with 10 bars earlier). White marubozu candles after a rise were higher 10 bars later in 52.7% of cases; after a decline, 52.7%. Random bars on the same assets rose 54.2% of the time. Neither the continuation case nor the reversal case beat chance.

Marubozu at support and resistance levels

A bullish marubozu that closes above a resistance level, or a bearish one that closes below a support level, is read in classical analysis as a breakout with conviction. A marubozu that stops right at a level is weaker: the level may hold on the next session. We have not tested support and resistance levels, so treat this as a reading rule, not a measured one.

The danger of marubozu at market exhaustion

After a long run, a very large marubozu can mark the last burst of a move rather than its start: late buyers rush in, and no one is left to buy. Our data shows a related effect. On hourly charts, the next bar after a white marubozu rose only 42.6% of the time, against 47.9% for random bars; after a black marubozu, the next bar fell 42.5% of the time, against 48.5%. In the short term, price tended to give back part of the move rather than extend it. These next-bar figures are descriptive, outside the tests behind our verdicts.

Real examples

Real occurrences from our test bench, each on its market's main timeframe. Crypto and US stock examples come from liquid assets only (the largest coins, the most traded stocks). Best and Worst are the best and worst 2:1 trade results, Textbook the cleanest shapes (chosen on geometry alone, never on the outcome), Most recent the latest detections among the assets the gallery draws from, Typical a random draw. Shaded area: the pattern. Dashed lines: entry, stop loss (SL) and 2:1 target (TP) of the tested trade. Dotted line: 10 bars after the signal. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 19 cards with a shape that does not read as the definition on this page. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Market
Examples
Crypto overallAcross 199,273 white marubozu occurrences on 1-hour charts, price moved the expected way 10 bars later 46.7% of the time, against 48.0% for random bars. The verdict rests on the average excess return over the rest of the market, −0.08% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern8.908.36+10 barsTPSLEntry2026-04
TextbookETC April 16, 20261-hour chart1.6% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.20290.1901+10 barsTPSLEntry2025-10
TextbookDOGE October 28, 20251-hour chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.21020.2007TPSLEntry2026-102026-10
Most recentADA October 28, 20261-hour chart2:1 trade: in progress
◂ Pattern2.382.10+10 barsTPSLEntry2019-11
TypicalLINK November 26, 20191-hour chart0.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern11.8910.02+10 barsTPSLEntry2021-02
TypicalETC February 26, 20211-hour chart1.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern10.228.87+10 barsTPSLEntry2023-11
TypicalATOM November 17, 20231-hour chart2.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
US stocks overallAcross 127,092 daily white marubozu occurrences, price moved the expected way 10 bars later 52.6% of the time, against 54.3% for random bars. The verdict rests on the average excess return over the rest of the market, −0.13% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern133.2109.6+10 barsTPSLEntry2021-10
Best tradeQCOM November 1, 2021Daily chart25.0% in the expected direction after 10 bars2:1 trade: target hit, +8.83 RAfter the pattern, price left the chart: high 169.3 on November 22, 2021.
◂ Pattern15.887.96+10 barsTPSLEntry2023-11
TextbookHOOD December 19, 2023Daily chart9.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.28 R
◂ Pattern22.8018.63+10 barsTPSLEntry2003-082003-11
TextbookINTU September 16, 2003Daily chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Pattern ▸45.7730.92TPSLEntry2026-092026-10
Most recentSMCI October 27, 2026Daily chart2:1 trade: in progress
◂ Pattern563.0496.0TPSLEntry2026-092026-10
Most recentBRK.B October 26, 2026Daily chart2:1 trade: invalidated before entry
◂ Pattern23.4817.22+10 barsTPSLEntry2009-06
TypicalAXP July 6, 2009Daily chart22.8% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern8.907.57+10 barsTPSLEntry1996-02
TypicalXOM March 26, 1996Daily chart4.2% against the expected direction after 10 bars2:1 trade: invalidated before entry
Market
Examples
Crypto overallAcross 199,444 black marubozu occurrences on 1-hour charts, price moved the expected way 10 bars later 48.0% of the time, against 50.6% for random bars. The verdict rests on the average excess return over the rest of the market, −0.10% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern6.834.20+10 barsTPSLEntry2020-03
Best tradeETC March 12, 20201-hour chart28.2% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern23.239.89+10 barsTPSLEntry2018-01
Best tradeBNB January 16, 20181-hour chart27.9% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern0.16360.1060+10 barsTPSLEntry2021-04
Worst tradeDOGE April 15, 20211-hour chart46.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 RAfter the pattern, price left the chart: high 0.2500 on April 16, 2021.
◂ Pattern152.5134.7+10 barsTPSLEntry2024-09
TextbookSOL September 19, 20241-hour chart6.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern6.275.75+10 barsTPSLEntry2020-12
TextbookETC December 14, 20201-hour chart0.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.21010.1989+10 barsTPSLEntry2026-10
Most recentADA October 28, 20261-hour chart1.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern7.757.49+10 barsTPSLEntry2026-10
Most recentETC October 28, 20261-hour chartNo net move after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern12.5511.00+10 barsTPSLEntry2023-11
TypicalAVAX November 2, 20231-hour chart0.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.15040.1395+10 barsTPSLEntry2025-11
TypicalDOGE December 1, 20251-hour chart2.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
US stocks overallAcross 118,885 daily black marubozu occurrences, price moved the expected way 10 bars later 44.2% of the time, against 45.6% for random bars. The verdict rests on the average excess return over the rest of the market, −0.13% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern57.3451.49+10 barsTPSLEntry2013-06
Best tradeISRG July 1, 2013Daily chart15.8% in the expected direction after 10 bars2:1 trade: target hit, +7.63 RAfter the pattern, price left the chart: low 39.67 on July 19, 2013.
◂ Pattern235.9146.0+10 barsTPSLEntry2025-072025-10
Worst tradeAMD August 19, 2025Daily chart2.7% in the expected direction after 10 bars2:1 trade: stopped out, −6.87 R
◂ Pattern143.7127.6+10 barsTPSLEntry2023-08
TextbookJPM September 29, 2023Daily chart2.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.21 R
◂ Pattern11.659.81+10 barsTPSLEntry2002-11
TextbookPFE December 26, 2002Daily chart2.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Pattern ▸326.3296.3TPSLEntry2026-092026-10
Most recentAXP October 27, 2026Daily chart2:1 trade: invalidated before entry
◂ Pattern113.2106.9+10 barsTPSLEntry2017-11
TypicalJNJ December 14, 2017Daily chart1.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern118.6395.78+10 barsTPSLEntry2023-03
TypicalQCOM April 12, 2023Daily chart5.1% in the expected direction after 10 bars2:1 trade: target hit, +3.60 R

How to trade the marubozu pattern

The classic marubozu trade follows the direction of the candle: buy a break above a bullish marubozu, sell a break below a bearish one. This is the trade our bench simulates on every occurrence.

TPSLEntryBullish
Entry
Buy stop at the pattern high
Stop loss (SL)
At the pattern low
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 3,000 daily occurrences drawn at random from all markets.
TPSLEntryBearish
Entry
Sell stop at the pattern low
Stop loss (SL)
At the pattern high
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 3,000 daily occurrences drawn at random from all markets.

A clean case from our bench: US stocksChosen on its shape alone, never on the outcome. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time.

◂ Pattern15.887.96+10 barsTPSLEntry2023-11
TextbookHOOD December 19, 2023Daily chart9.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.28 R

A clean case from our bench: US stocksChosen on its shape alone, never on the outcome. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time.

◂ Pattern143.7127.6+10 barsTPSLEntry2023-08
TextbookJPM September 29, 2023Daily chart2.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.21 R

Setting up your entry strategy

There are two ways to enter. The aggressive one enters at the close of the marubozu. The conservative one places a buy stop just above the high of a bullish marubozu (or a sell stop below the low of a bearish one) and waits for the next sessions to trigger it. Because the marubozu closes at its extreme, the stop entry is very close to the close. In our tests on daily charts, the entry was triggered in 88.3% of white marubozu setups; in the other 11.6%, price broke the low first and the setup was canceled.

Determining valid stop-loss placement

Managing take-profit targets

Our bench sets the target at twice the risk (a 2:1 reward-to-risk ratio); the next resistance level for a long trade, or support level for a short trade, is an alternative we did not test. On daily charts, white marubozu trades that reached the 2:1 target took a median of 7 days; trades that were stopped took a median of 3 days. A trap worth knowing: of the daily trades that hit their stop, 24.4% had first been up 1 R. A trailing stop or a partial exit at 1 R changes that, but we have not tested it.

Comparing marubozu to other candlestick patterns

Marubozu vs. engulfing patterns

An engulfing setup has two candles: the second body covers the first. The second candle can be a marubozu or close to one. The difference is that the engulfing requires a prior trend and a reversal of color, while the marubozu is judged alone. On daily charts, the bullish engulfing reached the 2:1 target in 36.9% of 48,554 trades against 35.7% on random dates, the white marubozu 36.0% on 128,026 trades against 36.4%. Neither average result per trade passes even a simple test against random dates.

Marubozu vs. long day candles

A long line (long day) candle has a long body but can keep normal wicks. The marubozu is a long day candle with the wicks removed. If the shaved ends carried information, the marubozu should do better than the long line. It does not: on daily charts, 53.2% of long white lines were higher 10 bars later, against 52.7% for white marubozu candles.

Marubozu vs. doji

A doji is the opposite shape: almost no body, with the opening and closing price nearly equal. The doji signals indecision, the marubozu signals control. Both are single candles. The marubozu never beat the rest of the market in a way that survives our correction; the doji has no expected direction, so our bench tests only its breakout trade, rated No clear edge on daily charts.

Common mistakes to avoid when trading marubozu

  • Taking every marubozu as a signal. The candle shows who controlled one session, not what comes next (see the limitations below).
  • Entering at the close and expecting the move to extend right away. On hourly charts, the next bar more often went against the candle than random bars did.
  • Setting a stop too wide for the account. The stop covers the full candle, so a large marubozu means a small position.
  • Calling a candle with a visible wick a marubozu. The definition requires very short shadows; otherwise it is a long day candle.
  • Ignoring the market. Black marubozu trades lost money on stocks because the stocks in our data rose over time: the same short on random dates lost about as much (−0.12 R, against −0.14 R for the pattern).

Statistical reliability of the marubozu pattern

The marubozu is not reliable on its own. No line beat chance once corrected for multiple testing. The closest is the white marubozu on daily crypto charts (4,241 candles, an average excess return of +0.84% after 10 days, rated promising: it passes a simple test, not our correction), and even there the 2:1 trade did no better than on random dates. Many more lines did worse than chance after the correction: both colors on hourly charts and on daily US stocks and indices, and black candles also on 4-hour charts, on daily ETFs and on all daily markets combined. Here are the numbers from our test bench, which applies the same rule to full price history and compares each occurrence with random bars on the same assets and with the rest of the market.

52.7%vs 54.2% at random

Moved the expected way 10 bars later, compared with random bars.

Measured on 145,183 daily white marubozu occurrences across 2,304 assets. Random bars on the same assets are the honest baseline.

Weak, below chance
44.4%vs 45.9% at random

Moved the expected way 10 bars later, compared with random bars.

Measured on 135,183 daily black marubozu occurrences across 2,344 assets. Random bars on the same assets are the honest baseline.

Opposite of the textbook

White marubozu against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.

Moved the expected way 10 bars laterWhite marubozuRandom bars
  • All markets
    All markets, White marubozu: 52.7%
    All markets, Random bars: 54.2%
  • Crypto
    Crypto, White marubozu: 47.4%
    Crypto, Random bars: 44.8%
  • US stocks
    US stocks, White marubozu: 52.6%
    US stocks, Random bars: 54.3%
  • Forex
    Forex, White marubozu: 47.7%
    Forex, Random bars: 51.4%
  • ETFs
    ETFs, White marubozu: 55.6%
    ETFs, Random bars: 56.9%
  • Indices
    Indices, White marubozu: 57.4%
    Indices, Random bars: 57.6%
  • Commodities
    Commodities, White marubozu: 49.2%
    Commodities, Random bars: 52.1%
2:1 trade hit its targetWhite marubozu tradeSame trade, random dates
  • All markets
    All markets, White marubozu trade: 36.0%
    All markets, Same trade, random dates: 36.4%
  • Crypto
    Crypto, White marubozu trade: 35.1%
    Crypto, Same trade, random dates: 34.0%
  • US stocks
    US stocks, White marubozu trade: 35.7%
    US stocks, Same trade, random dates: 36.3%
  • Forex
    Forex, White marubozu trade: 33.1%
    Forex, Same trade, random dates: 34.0%
  • ETFs
    ETFs, White marubozu trade: 38.3%
    ETFs, Same trade, random dates: 37.9%
  • Indices
    Indices, White marubozu trade: 41.4%
    Indices, Same trade, random dates: 40.5%
  • Commodities
    Commodities, White marubozu trade: 36.1%
    Commodities, Same trade, random dates: 37.4%

Black marubozu against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.

Moved the expected way 10 bars laterBlack marubozuRandom bars
  • All markets
    All markets, Black marubozu: 44.4%
    All markets, Random bars: 45.9%
  • Crypto
    Crypto, Black marubozu: 51.3%
    Crypto, Random bars: 56.0%
  • US stocks
    US stocks, Black marubozu: 44.2%
    US stocks, Random bars: 45.6%
  • Forex
    Forex, Black marubozu: 47.5%
    Forex, Random bars: 49.7%
  • ETFs
    ETFs, Black marubozu: 40.3%
    ETFs, Random bars: 42.8%
  • Indices
    Indices, Black marubozu: 43.7%
    Indices, Random bars: 42.5%
  • Commodities
    Commodities, Black marubozu: 46.4%
    Commodities, Random bars: 48.1%
2:1 trade hit its targetBlack marubozu tradeSame trade, random dates
  • All markets
    All markets, Black marubozu trade: 29.2%
    All markets, Same trade, random dates: 29.8%
  • Crypto
    Crypto, Black marubozu trade: 33.7%
    Crypto, Same trade, random dates: 31.5%
  • US stocks
    US stocks, Black marubozu trade: 28.9%
    US stocks, Same trade, random dates: 29.5%
  • Forex
    Forex, Black marubozu trade: 32.9%
    Forex, Same trade, random dates: 31.6%
  • ETFs
    ETFs, Black marubozu trade: 27.8%
    ETFs, Same trade, random dates: 29.3%
  • Indices
    Indices, Black marubozu trade: 32.8%
    Indices, Same trade, random dates: 34.4%
  • Commodities
    Commodities, Black marubozu trade: 31.8%
    Commodities, Same trade, random dates: 31.5%
All statistics

Full results for the marubozu candlestick pattern, market by market

Every occurrence our rule finds on full price history, compared with what the same assets did on random bars. A pattern only earns an edge if it beats random entries after correcting for the thousands of tests we run.

Our verdict

Weak, below chance. It does slightly worse than the baseline, but not in every check.

10-bar move Weak, below chance2:1 trade No clear edge

White marubozu: 145,183 occurrences tested

Bullish pattern · All markets · Daily · 2,304 assets · 1970-03 to 2026-10

Moved the expected way after 10 bars
52.7%
vs 54.2% on random bars
Excess return vs its market, 10 bars
−0.10%
95% interval −0.15% to −0.04%
its market−3%+3%
2:1 trade hit the target
36.0%
vs 36.4% for the same trade on random dates
Average result per trade
+0.07 R
vs +0.09 R on random dates

What this means. A difference shows up (p < 0.05), but below the baseline, and it survives the multiple-testing correction, but fails the stability check: the two halves of the history do not agree in sign. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 128,250 triggered entries
Stop order beyond the pattern's extreme. 224 of these entries are not among the 128,026 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
7 days · middle half 3 to 13 · on 46,048 trades that hit it
Time to the stop, when hit
3 days · middle half 1 to 8 · on 81,698 trades that hit it
Time in the trade, all exits
4 days · middle half 2 to 10 · on 128,026 trades

Size and trade path

Pattern range, high to low
2.8% · middle half 1.9% to 4.1% · on 145,183 occurrences
Range vs average bar (ATR)
1.06× · middle half 0.88× to 1.31× · on 145,183 occurrences
Best open profit during the trade
1.08 R · middle half 0.31 R to 2.12 R · on 128,026 trades
Stopped trades that were first up 1 R
24.4% · on 81,698 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
88.3% · on 145,183 occurrences

Medians, each on the cases named on its line; "middle half" spans the 25th to 75th percentile; no value under 30 cases.

How we detect it. Long white body with very short upper and lower shadows. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them. Candlestick counts are not checked against planted examples, so they may not be exhaustive.

All measurements (20 rows)

10-bar move: did price go the expected way?

Figures in gray: fewer than 30 occurrences, not interpreted. Excess return is signed so that positive favors the pattern. The test uses the bootstrap’s standard error and the interval its percentiles: near the 0.05 line, or on a few extreme moves, an interval can leave out zero while the test does not pass, and the test decides. Stock data misses most delisted companies, a survivorship bias we have not sized, which can flatter stock rows.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
Crypto · 1-hour199,27346.7%48.0%−0.08%Opposite of the textbook
Forex · 1-hour27,10148.4%50.6%−0.01%Opposite of the textbook
All markets · 1-hour226,37446.9%48.3%−0.08%Opposite of the textbook
Crypto · 4-hour36,28547.9%47.4%+0.01%No clear edge
Forex · 4-hour5,95049.7%50.7%−0.02%No clear edge
All markets · 4-hour42,23548.2%47.9%+0.01%No clear edge
Crypto · Daily4,24147.4%44.8%+0.84%Promising
US stocks · Daily127,09252.6%54.3%−0.13%Opposite of the textbook
ETFs · Daily5,44355.6%56.9%+0.01%No clear edge
Indices · Daily5,89157.4%57.6%−0.14%Opposite of the textbook
Forex · Daily1,19347.7%51.4%−0.04%No clear edge
Commodities · Daily1,32349.2%52.1%−0.22%No clear edge
All markets · Daily145,18352.7%54.2%−0.10%Weak, below chance
Crypto · Weekly22744.4%40.8%+5.65%No clear edge
US stocks · Weekly23,25155.5%58.3%−0.19%No clear edge
ETFs · Weekly1,43661.3%62.4%+0.003%No clear edge
Indices · Weekly1,00166.1%63.1%+0.42%Promising
Forex · Weekly30947.2%50.9%−0.21%No clear edge
Commodities · Weekly38253.0%54.6%−0.32%No clear edge
All markets · Weekly26,60656.0%58.4%−0.12%No clear edge

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
Crypto · 1-hour188,57732.3%32.9%−0.03 R vs −0.01 RNo clear edge
Forex · 1-hour25,63631.0%33.1%−0.07 R vs 0.00 ROpposite of the textbook
All markets · 1-hour214,21332.1%33.0%−0.03 R vs 0.00 RWeak, below chance
Crypto · 4-hour34,53235.2%33.3%+0.06 R vs 0.00 RNo clear edge
Forex · 4-hour5,67232.0%33.5%−0.04 R vs +0.01 RWeak, below chance
All markets · 4-hour40,20434.7%33.3%+0.05 R vs 0.00 RNo clear edge
Crypto · Daily3,99335.1%34.0%+0.05 R vs +0.02 RNo clear edge
US stocks · Daily111,86735.7%36.3%+0.06 R vs +0.09 RNo clear edge
ETFs · Daily4,53538.3%37.9%+0.14 R vs +0.13 RNo clear edge
Indices · Daily5,32341.4%40.5%+0.24 R vs +0.21 RNo clear edge
Forex · Daily1,13633.1%34.0%0.00 R vs +0.02 RNo clear edge
Commodities · Daily1,17236.1%37.4%+0.08 R vs +0.12 RNo clear edge
All markets · Daily128,02636.0%36.4%+0.07 R vs +0.09 RNo clear edge
Crypto · Weekly21041.4%33.7%+0.24 R vs +0.01 RNo clear edge
US stocks · Weekly21,47439.2%41.0%+0.18 R vs +0.23 RNo clear edge
ETFs · Weekly1,32543.2%41.7%+0.29 R vs +0.25 RNo clear edge
Indices · Weekly94846.1%42.0%+0.38 R vs +0.26 RNo clear edge
Forex · Weekly28330.4%34.8%−0.08 R vs +0.04 RNo clear edge
Commodities · Weekly34837.1%37.1%+0.11 R vs +0.13 RNo clear edge
All markets · Weekly24,58839.5%40.9%+0.19 R vs +0.23 RNo clear edge

Our verdict

The opposite of the textbook. After this pattern, price moved against the taught direction, beyond the rest of the market.

10-bar move Opposite of the textbook2:1 trade No clear edge

Black marubozu: 135,183 occurrences tested

Bearish pattern · All markets · Daily · 2,344 assets · 1970-04 to 2026-10

Moved the expected way after 10 bars
44.4%
vs 45.9% on random bars
Excess return vs its market, 10 bars
−0.14%
95% interval −0.18% to −0.09%
Excess return is signed so that positive favors the pattern. On a bearish setup, it means the asset lagged its market.
its market−3%+3%
2:1 trade hit the target
29.2%
vs 29.8% for the same trade on random dates
Average result per trade
−0.13 R
vs −0.11 R on random dates

What this means. Price moved the other way from what textbooks teach, more than the rest of the market, and that survived our multiple-testing correction. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 117,460 triggered entries
Stop order beyond the pattern's extreme. 234 of these entries are not among the 117,226 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
6 days · middle half 3 to 12 · on 34,276 trades that hit it
Time to the stop, when hit
3 days · middle half 1 to 8 · on 82,534 trades that hit it
Time in the trade, all exits
4 days · middle half 2 to 9 · on 117,226 trades

Size and trade path

Pattern range, high to low
3.1% · middle half 2.1% to 4.7% · on 135,183 occurrences
Range vs average bar (ATR)
1.08× · middle half 0.89× to 1.33× · on 135,183 occurrences
Best open profit during the trade
0.86 R · middle half 0.28 R to 2.06 R · on 117,226 trades
Stopped trades that were first up 1 R
23.7% · on 82,534 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
86.9% · on 135,183 occurrences

Medians, each on the cases named on its line; "middle half" spans the 25th to 75th percentile; no value under 30 cases.

How we detect it. Long black body with very short upper and lower shadows. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them. Candlestick counts are not checked against planted examples, so they may not be exhaustive.

All measurements (20 rows)

10-bar move: did price go the expected way?

Figures in gray: fewer than 30 occurrences, not interpreted. Excess return is signed so that positive favors the pattern. The test uses the bootstrap’s standard error and the interval its percentiles: near the 0.05 line, or on a few extreme moves, an interval can leave out zero while the test does not pass, and the test decides. Stock data misses most delisted companies, a survivorship bias we have not sized, which can flatter stock rows.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
Crypto · 1-hour199,44448.0%50.6%−0.10%Opposite of the textbook
Forex · 1-hour32,49742.1%49.3%−0.02%Opposite of the textbook
All markets · 1-hour231,94147.2%50.4%−0.09%Opposite of the textbook
Crypto · 4-hour37,94648.6%52.2%−0.23%Opposite of the textbook
Forex · 4-hour6,17147.6%49.5%−0.01%No clear edge
All markets · 4-hour44,11748.5%51.8%−0.20%Opposite of the textbook
Crypto · Daily5,75151.3%56.0%−0.11%No clear edge
US stocks · Daily118,88544.2%45.6%−0.13%Opposite of the textbook
ETFs · Daily4,54340.3%42.8%−0.25%Opposite of the textbook
Indices · Daily3,68943.7%42.5%−0.34%Opposite of the textbook
Forex · Daily1,01947.5%49.7%−0.01%No clear edge
Commodities · Daily1,29646.4%48.1%−0.21%No clear edge
All markets · Daily135,18344.4%45.9%−0.14%Opposite of the textbook
Crypto · Weekly76751.0%63.7%+0.10%Not enough data
US stocks · Weekly17,29540.6%42.7%−0.33%No clear edge
ETFs · Weekly84538.0%38.3%+0.01%No clear edge
Indices · Weekly53540.2%37.7%−0.93%Weak, below chance
Forex · Weekly20648.3%49.8%−0.001%No clear edge
Commodities · Weekly33946.2%46.7%−1.09%No clear edge
All markets · Weekly19,98741.0%43.3%−0.32%Weak, below chance

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
Crypto · 1-hour188,21732.0%32.9%−0.03 R vs 0.00 RNo clear edge
Forex · 1-hour30,44625.0%32.3%−0.24 R vs −0.02 ROpposite of the textbook
All markets · 1-hour218,66331.0%32.9%−0.06 R vs 0.00 ROpposite of the textbook
Crypto · 4-hour35,61632.6%32.1%−0.01 R vs −0.02 RNo clear edge
Forex · 4-hour5,78330.2%31.8%−0.09 R vs −0.04 RWeak, below chance
All markets · 4-hour41,39932.3%32.1%−0.02 R vs −0.02 RNo clear edge
Crypto · Daily5,41433.7%31.5%+0.03 R vs −0.03 RNo clear edge
US stocks · Daily102,93128.9%29.5%−0.14 R vs −0.12 RNo clear edge
ETFs · Daily3,64927.8%29.3%−0.19 R vs −0.13 RNo clear edge
Indices · Daily3,16832.8%34.4%−0.02 R vs +0.03 RNo clear edge
Forex · Daily95332.9%31.6%−0.01 R vs −0.05 RNo clear edge
Commodities · Daily1,11131.8%31.5%−0.07 R vs −0.06 RNo clear edge
All markets · Daily117,22629.2%29.8%−0.13 R vs −0.11 RNo clear edge
Crypto · Weekly62929.9%27.6%−0.08 R vs −0.15 RNot enough data
US stocks · Weekly15,40825.6%25.9%−0.22 R vs −0.21 RNo clear edge
ETFs · Weekly74129.1%26.5%−0.11 R vs −0.20 RNo clear edge
Indices · Weekly48132.0%27.3%−0.04 R vs −0.18 RNo clear edge
Forex · Weekly19325.4%28.5%−0.23 R vs −0.13 RNo clear edge
Commodities · Weekly30727.0%28.4%−0.19 R vs −0.13 RNo clear edge
All markets · Weekly17,75926.1%26.1%−0.21 R vs −0.21 RNo clear edge

Data updated November 5, 2026 · code version c2a1683f · Read the methodology. We measure every pattern on crypto and forex (1-hour, 4-hour, daily and weekly charts) and US stocks, ETFs, indices and commodities (daily and weekly charts). A market or timeframe from that list missing from the tables above had no occurrence.

What you often read

“The white marubozu shows buyers in control, so price keeps rising.”

What our data shows

On 145,183 daily occurrences, it moved in the expected direction 52.7% of the time, against 54.2% for random bars: its average excess return over the rest of the market survives our correction, but the two halves of the history disagree in sign.

What you often read

“The black marubozu shows sellers in control, so price keeps falling.”

What our data shows

On 135,183 daily occurrences, it moved in the expected direction 44.4% of the time, against 45.9% for random bars: its average excess return over the rest of the market is negative, and that survived our correction.

White (bullish) marubozu

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeCandles testedHigher 10 bars laterRandom barsClosed trades2:1 target hitSame trade, random datesExpectancy (R)
All markets, daily145,18352.7%54.2%128,02636.0%36.4%+0.07 (random +0.09)
US stocks, daily127,09252.6%54.3%111,86735.7%36.3%+0.06 (random +0.09)
Crypto, hourly199,27346.7%48.0%188,57732.3%32.9%−0.03 (random −0.01)
Crypto, 4-hour36,28547.9%47.4%34,53235.2%33.3%+0.06 (random 0.00)
Forex, hourly27,10148.4%50.6%25,63631.0%33.1%−0.07 (random 0.00)
All markets, weekly26,60656.0%58.4%24,58839.5%40.9%+0.19 (random +0.23)

Black (bearish) marubozu

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeCandles testedLower 10 bars laterRandom barsClosed trades2:1 target hitSame trade, random datesExpectancy (R)
All markets, daily135,18344.4%45.9%117,22629.2%29.8%−0.13 (random −0.11)
US stocks, daily118,88544.2%45.6%102,93128.9%29.5%−0.14 (random −0.12)
Crypto, hourly199,44448.0%50.6%188,21732.0%32.9%−0.03 (random 0.00)
Crypto, 4-hour37,94648.6%52.2%35,61632.6%32.1%−0.01 (random −0.02)
Forex, hourly32,49742.1%49.3%30,44625.0%32.3%−0.24 (random −0.02)
All markets, weekly19,98741.0%43.3%17,75926.1%26.1%−0.21 (random −0.21)

Read each table in pairs of columns. On daily charts, 52.7% of white marubozu candles were followed by a gain 10 days later. That sounds bullish until you see that random bars on the same assets rose 54.2% of the time, because these assets rose a little more often than they fell over our data. The excess return over the rest of the market after 10 days is −0.10%, with a 95% confidence interval from −0.15% to −0.04%: rated Weak, below chance: the gap below chance passes our tests, but it changes sign between the two halves of the history (see below), so we do not count it as confirmed.

The 2:1 trade column tells the same story. The white marubozu trade on daily charts has a positive expectancy, +0.07 R per trade before costs, but the same entry, stop and target on random dates averaged +0.09 R, the same result. The gain comes from the rise of these assets over our data, not from the candle. For the black marubozu, the expectancy is negative (−0.13 R) for the same reason: shorting these assets on random dates lost money over our data (−0.11 R), and the candle does not change it.

The clearest negative is on hourly forex: both the white and the black marubozu did worse than chance over 10 bars, and the gap survives our statistical correction. The black marubozu trade averaged −0.24 R against −0.02 R on random dates, rated worse than chance; the white trade, −0.07 R against 0.00 R, is rated worse than chance.

Does the larger trend help?

We split daily white marubozu candles by the 200-day moving average. Above it, 52.9% were higher 10 days later; below it, 52.3%. The 2:1 trade gave +0.07 R and +0.07 R. The long-term trend filter barely moved the result. The result was not stable over time: the excess return was −0.21% in the first half of the history and +0.02% in the second.

The method is published in our methodology.

Best timeframes for identifying marubozu signals

No timeframe showed a confirmed edge once compared with chance; the closest, white candles on daily crypto charts, passes only a simple test. Weekly charts show the best raw numbers for the white marubozu (39.5% of 2:1 targets hit on 24,588 trades, +0.19 R), but random weeks on the same assets did slightly better (40.9%, +0.23 R): the assets rose over our weekly data, and any long trade benefited. On hourly charts, marubozu candles are frequent, about one every 74 bars. On daily US stocks, a white marubozu appears about once every 58 bars on average and a black one every 62 bars, so a watchlist of 20 stocks shows about two of each per week.

Two of the subgroups that look better on raw numbers are on indices. On daily charts, white marubozu trades reached the 2:1 target in 41.4% of 5,323 trades against 40.5% on random dates (+0.24 R against +0.21 R). On weekly charts, the white marubozu was followed by an excess return of +0.42% after 10 weeks. The daily trade is rated No clear edge: its gap does not pass even a simple test. The weekly excess return is rated promising: it passes a simple test, not our correction for multiple testing. Neither counts as an edge. And on daily indices, the white marubozu's own 10-bar excess return was below chance (−0.14%, rated worse than chance).

Case studies of the marubozu

The Real examples section shows real marubozu candles picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome. The cases written up below are on daily charts, on crypto and on the Indian Sensex index.

Case study: a bullish marubozu that worked

On October 20, 2021, LINK/USDT printed a white marubozu from 25.9 to 27.49, with a high of 27.66 and a low of 25.85. The buy stop at the high was triggered the next day, with a stop at 25.85 and a 2:1 target at 31.28. Price climbed for two sessions, then reached the target on October 23. LINK was 8.4% higher 10 days after the candle.

Case study: a bearish marubozu, target hit, then a rebound

On April 16, 2002, the Sensex printed a black marubozu that opened at its high of 3,459.08 and closed at 3,413.72, just above its low of 3,411.73. The sell stop at 3,411.73 was triggered on April 18, and the 2:1 target at 3,317.03 was reached on April 29, seven sessions later. The index bottomed at 3,296.88 that day, then rebounded to 3,394.89 by May 6, and it was only 2.2% below the candle's close 10 sessions after it. The trade worked because it had a fixed target; holding for continuation would have given back most of the gain.

Case study: failed marubozu setups

On July 1, 2025, UNI/USDT printed a black marubozu with a high at 7.183 and a low at 6.59. The next day price traded below the low, triggering the short, then rallied above the high in the same session: entry and stop on the same day, a full 1 R loss, and UNI was 31.9% higher 10 days later. On September 22, 2021, UNI/USDT printed a white marubozu from 19.07 to 21.62, after a sharp two-day drop. The long trade at 21.66 had its stop at 18.85: a very wide risk. The entry was triggered the next day, and the day after, price fell to 18.17 and hit the stop. UNI then rallied to 27.23, just short of the 27.28 target, and was 21.0% higher 10 days after the candle, yet the trade lost 1 R.

Limitations and risks of the marubozu pattern

  • On its own, it showed no edge over chance after our correction on any line (white candles on daily crypto come closest, without passing it), and on many, hourly charts above all, it did worse.
  • The stop covers the full candle, so the risk per trade is large on the biggest candles.
  • On daily charts, 11.6% of white marubozu setups were canceled before entry, and of the daily white marubozu trades that hit their stop, 24.4% had first been up 1 R.

The strengths are real but modest: the candle is easy to read, it defines a clear risk, and it shows where one side was in control. Use it as a piece of context, not as a trading system.

Frequently asked questions

Is a marubozu always a strong signal?

No. It shows a strong session, not a strong signal. In our tests, the black marubozu never moved in the expected direction relative to its market over the next 10 bars in a way that survives our correction, and neither did the white one: its best line, daily crypto, passes only a simple test.

Can a marubozu have small wicks and still be valid?

Yes. A perfect marubozu with no wick at all is rare on real charts. Our rule, adapted from TA-Lib, accepts upper and lower shadows that are very short compared with the recent range. The opening and closing types each keep one small wick by definition.

What does a marubozu indicate about market sentiment?

It indicates that one side controlled the session: buyers for a white marubozu, sellers for a black one. It says nothing reliable about the next sessions: on hourly charts, the next bar went against the candle more often than chance.

Does the marubozu work in all asset classes?

We tested stocks, crypto, forex, ETFs, indices and commodities. No positive result holds after our correction for multiple testing; the closest is the white marubozu on daily crypto, on the 10-bar move, which passes only a simple test. It did worse than chance on hourly crypto and forex, and on daily US stocks and indices, gaps that do survive it. On indices, the white marubozu's better raw numbers on the daily 2:1 trade and on the weekly 10-week move do not pass our correction either.

How do I avoid false signals with this pattern?

You cannot filter them out with the candle alone, because the candle alone showed no proven edge in our tests. Combine it with a level (a breakout above resistance or below support), a defined stop at the other end of the candle, and a position size that keeps the risk small.

Summary and final trading tips

  • A marubozu is a candle with a long body and little or no wick: a white one opens at the low and closes at the high, a black one does the opposite.
  • There are three types: full, opening and closing marubozu.
  • On 145,183 daily white marubozu candles, 52.7% were higher 10 days later, against 54.2% for random bars on the same assets.
  • The 2:1 trade averaged +0.07 R before costs on daily charts, like the same trade on random dates (+0.09 R).
  • On hourly charts, the next bar more often went against the candle; on hourly forex, the black marubozu trade did worse than chance.

If you trade this candle, treat it as information about one session, not as a forecast. Define the stop at the other end of the candle before entry, size the position on that distance, and take profits at a fixed target rather than waiting for continuation.

About the author and the data. Written by Amaury, founder of PatternsWizard, who is passionate about finance, quantitative trading and data analysis. He built the PatternsWizard test bench, which detects each setup with fixed, published rules on full market history: crypto, forex, US stocks, ETFs, indices and commodities. Trades and win rates are compared with random bars on the same assets, excess returns with the rest of the market, with error margins and a correction for multiple testing, and the whole pipeline is checked on random-walk prices, where nothing can be predicted. Statistics on this page were generated on November 5, 2026. The full methodology explains every step. This page is educational and is not investment advice: trading involves a risk of loss, and past results do not predict future ones.

, Founder of PatternsWizard

Passionate about finance, quantitative trading and data analysis. Amaury built the PatternsWizard test bench, which detects each pattern on full price history and measures what happened next against random entries.

Statistics on this page come from our open methodology: every occurrence our rule finds on full history, compared with chance. How we test patterns.

179 patterns testedRandom-walk self-test passed