Pattern direction

CandlestickBullish: Three outside upBearish: Three outside down

Three Outside Up Candlestick Pattern: Definition, Trading Rules and Tested Statistics

What are the three outside up and three outside down candlestick patterns? How to recognize their three candles, how to trade them, and what our test found against random dates.

· Founder of PatternsWizard
Updated Statistics updated 19 min read
Three outside up patternThree outside down pattern

How we tested this pattern

Sample
26,958 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1970 to 2026.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.three outside up pattern: After a downtrend: a bullish engulfing, then a white candle closing above the second close.three outside down pattern: After an uptrend: a bearish engulfing, then a black candle closing below the second close.
Benchmark
Each occurrence is compared with the same assets on random bars: the move 10 bars later, and a 2:1 reward-to-risk trade.
Checks
Block bootstrap and a correction for the thousands of tests we run, plus a random-walk self-test that the bench passes: on random prices, no pattern should win.
Updated
Data updated November 5, 2026, code version c2a1683f. Read the methodology · three outside up pattern data (JSON) · three outside down pattern data (JSON)

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At a glance: what textbooks say, what we measured
Pattern
Bullish: Three outside up
Occurrences tested
11,258 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · −0.11% vs the market, 10 bars
Where it did best, US stocks left out
Crypto, 1-hour: +0.01 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: No clear edge2:1 trade: No clear edge
Pattern
Bearish: Three outside down
Occurrences tested
15,700 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · −0.09% vs the market, 10 bars
Where it did best
Crypto, 4-hour: +0.13 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: No clear edge2:1 trade: No clear edge

See the statistics

On this page
  1. What is the three outside up candlestick pattern?
  2. Anatomy of the three outside up pattern
  3. Three outside up vs. three outside down
  4. How to identify the three outside up pattern on charts
  5. Psychology behind the three outside up pattern
  6. Reversal or continuation: reading the signal in context
  7. Real examples
  8. How to trade the three outside up pattern
  9. Trading strategies for this pattern
  10. Best timeframes and market conditions
  11. Advantages and limitations of the pattern
  12. Comparison with other triple candlestick patterns
  13. Statistical reliability and performance
  14. Case studies of the pattern
  15. Tools for finding the pattern
  16. Frequently asked questions about the three outside up
  17. Summary of key points

The three outside up candlestick pattern is a three-candle bullish reversal pattern that appears after a downtrend: a small bearish candle, a larger bullish candle whose body engulfs it, and a third bullish candle that closes higher. It is the confirmed version of the bullish engulfing. Its mirror image, the three outside down, is a bearish reversal pattern that appears after an uptrend.

This guide explains how to identify the pattern, the psychology behind it, how traders trade it with an entry, a stop loss and a target, and what actually happened after it. Our test bench scanned full price history and detected 11,258 occurrences on the daily chart alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random days on the same markets.

What is the three outside up candlestick pattern?

The three outside up is a candlestick pattern that consists of three consecutive candlesticks at the end of a downtrend. The first two candles form a bullish engulfing; the third one confirms the reversal signal by closing above the second. The name describes the structure: the second candle is "outside" the first, since its real body covers the whole body of the first candle.

Definition and market context

The pattern needs a downtrend before it, and it forms only after the trend has run for a while. Without a prior decline there is nothing to reverse, and the same three candles are just a strong move inside a range or a pause before continuation. Greg Morris, in Candlestick Charting Explained, presents this pattern as the confirmation of the bullish engulfing, the same way the three inside up confirms the harami. Both belong to the same family of confirmed signals.

Our bench uses the same rule, written so a computer can apply it without judgment: after a downtrend (the last close before the pattern is at least one average true range below the close 10 bars earlier, and in the lower half of the last 40 closes), a bullish engulfing, then a white candle closing above the second one. The CDL3OUTSIDE function of the open-source TA-Lib library uses a similar engulfing and the same higher close, without the trend condition and without requiring a white third candle. On candle shape alone, our rule finds about 86% of its bullish and 79% of its bearish occurrences.

Where it fits among candlestick patterns

Candlestick patterns can be grouped into reversal patterns, which signal a potential change of trend, and continuation patterns, which signal that the trend should resume. Within the reversal group, candlestick analysis distinguishes single-candle signals such as the hammer, two-candle patterns such as the engulfing and the harami, and three-candle patterns such as the morning star, the three inside up and this one. The three-candle candlestick patterns all add a confirmation to a shorter signal, and candlestick analysis applies them to stocks, crypto and forex alike.

The bullish reversal signal explained

The signal is the sequence. The first candle continues the decline. The second candle opens at or below the first close and closes above the first open: buyers have taken back the whole session of the sellers and more. The third candle shows that buying pressure did not vanish the next day. Traders read it as a potential trend reversal with a built-in confirmation, which is the argument for ranking it above a lone two-candle signal.

The chart below is not drawn by hand. It is the median shape of the clean patterns our bench detected, with the faded candles showing the decline before it and the lines of the position we test: entry above the pattern high, stop below the pattern low, target at twice the risk.

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)

Anatomy of the three outside up pattern

123
  1. Black candle
  2. White, engulfs the firstbullish engulfing
  3. White, closes above second close
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.
123
  1. White candle
  2. Black, engulfs the firstbearish engulfing
  3. Black, closes below second close
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.

Identifying the three-step formation

  • First candle: bearish (black or red), in line with the prior trend, with a body smaller than the second one.
  • Second candle: bullish, with a real body that covers the whole body of the first candle. It opens at or below the first close and closes above the first open.
  • Third candle: bullish, and it closes above the second candle.

The role of the engulfing candle

The second candle is the heart of the pattern. A long bullish candle that engulfs the previous one shows a change of control within one session. The larger its body compared with the first candle, the clearer the shift in market sentiment. On the median occurrence, the three candles together span 6.32% of price, or 1.92 times the average true range (ATR): a larger move than a typical session.

Importance of the confirmation candle

The third candle is what separates this pattern from a plain two-candle setup. With a two-candle signal, confirmation means waiting for the next session; here it is built in. The cost is time: the entry comes one session later, at a higher price. The third bullish candle must close above the second one. A stricter variant also wants it to make a new high; the standard definition only asks for the higher close.

Three outside up vs. three outside down

Understanding the bearish counterpart

The three outside down is the same structure upside down, after an uptrend: a small bullish candle, a larger bearish candle that engulfs it, and a third bearish candle that closes below the second. It is a classic bearish reversal signal in technical analysis.

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)

Key differences in market sentiment

The bullish version shows buyers taking control after a decline; the bearish version shows sellers taking control after a rally. In our data, the bearish one was more common (15,700 daily occurrences against 11,258), and neither beat chance. After the bearish pattern, price was lower 10 days later in 46.0% of cases, against 46.1% for random days, and its average excess return (−0.09%) is rated no clear edge: within the margin of error.

How to identify the three outside up pattern on charts

Step-by-step visual identification

  1. Confirm the downtrend: the last close before the pattern is at least one average true range below the close 10 bars earlier, and in the lower half of the last 40 closes, or the market keeps making lower highs.
  2. Find a bearish candle, then a bullish candle whose body covers it completely.
  3. Wait for the third candle to close. It must be bullish and close above the second one.
  4. Mark the high and the low of the three candles: they define the entry and the exit if the pattern fails.

To identify the pattern quickly, start from the second candle: if it is a long bullish candle that opens below the previous close and closes above the previous open, check the trend before it and wait for the next session. Different platforms use different thresholds, so learn to identify it by eye as well.

Distinguishing the pattern from an engulfing setup

A bullish engulfing is two candles; this pattern is the same two candles plus a confirmation candle. About three in four occurrences also count as a bullish engulfing on our separate engulfing rule, but most two-candle setups are not followed by a higher close. Our bench found 59,948 bullish engulfing patterns on the daily chart, against 11,258 three-candle patterns.

Common mistakes in pattern recognition

  • Ignoring the trend: three candles that go up in a range are not a reversal pattern.
  • Taking every signal: in a steep decline, the formation can mark a bounce rather than a trend change.
  • Accepting a second candle that only covers the shadow, not the body, of the first.
  • Marking the pattern before the third candle closes.
  • Confusing it with the three inside up, where the second candle sits inside the first.

Psychology behind the three outside up pattern

Why market momentum shifts

During a decline, the bears are in control and each session confirms the bearish view. The first candle of the pattern is one more bearish session. Then the second session opens low, attracts buyers, and closes above the open of the day before. Short sellers who expected another drop are now losing, and some of them buy back, which adds momentum to the move. For a moment, the bulls take control of the market and the bearish run of the prior days stalls.

The battle between buyers and sellers

The third session is the test for the bulls. If the bears were still in control, the gains of the second candle would be erased. A higher close on the third bullish candle tells traders that the bulls held their ground for two sessions in a row. That is the story. Whether it changes what the market does next is a question for data, which we answer in the reliability section.

Reversal or continuation: reading the signal in context

This formation is classified as a bullish reversal pattern, not a continuation pattern. In trading, though, the same candles can mark a short pause in a bear market: a reversal signal inside a strong bear trend can end as a bounce, with the decline resuming. Traders read reversal signals in the context of the larger trend, the support and resistance levels around price, and the market they trade.

A simple trading checklist before acting on the pattern:

  • Is the market in a clear downtrend, so that a reversal makes sense?
  • Does the pattern form at a support level, where reversals have a reason to happen?
  • Is there resistance just above, which would limit the profit potential?
  • Does the third candle close near its high, showing strong buying into the close?
  • Do other trading signals agree, such as momentum indicators or the trend on a higher timeframe?

None of these filters turns the pattern into a reliable trading signal on its own: our statistics below show that the candles alone did not beat chance. They are meant to screen out the weakest setups, a use we have not tested, and they make you decide in advance where the idea is wrong.

Real examples

Real occurrences from our test bench, each on its market's main timeframe. Crypto examples come from liquid assets only (the largest coins). 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. We left out 7 cards: 6 with a shape that does not read as the definition on this page, 1 with a single bar so large that the pattern or the trade levels could not be read. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Examples
Crypto overallAcross 39,997 three outside up occurrences on 1-hour charts, price moved the expected way 10 bars later 47.1% of the time, against 48.2% for random bars. The verdict rests on the average excess return over the rest of the market, −0.07% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern792.0350.0+10 barsTPSLEntry2021-05
Worst tradeAAVE May 19, 20211-hour chart15.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern37.5733.15+10 barsTPSLEntry2021-04
Worst tradeUNI April 17, 20211-hour chart13.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 RAfter the pattern, price left the chart: low 26.98 on April 18, 2021.
◂ Pattern1.251.12+10 barsTPSLEntry2026-05
TextbookDOT June 1, 20261-hour chart0.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern63,03662,275+10 barsTPSLEntry2026-072026-08
TextbookBTC August 1, 20261-hour chart1.1% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern0.20920.2005+10 barsTPSLEntry2026-10
Most recentADA October 25, 20261-hour chart1.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.36130.3391+10 barsTPSLEntry2018-12
TypicalXRP December 4, 20181-hour chart1.0% in the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern0.21190.2022+10 barsTPSLEntry2020-072020-07
TypicalXRP July 10, 20201-hour chart0.3% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R, 76 bars after entry, past this chart
Examples
Crypto overallAcross 35,903 three outside down occurrences on 1-hour charts, price moved the expected way 10 bars later 48.1% of the time, against 50.6% for random bars. The verdict rests on the average excess return over the rest of the market, −0.09% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
◂ Pattern2.491.72+10 barsTPSLEntry2020-11
Best tradeSOL November 25, 20201-hour chart18.0% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern16.1913.73+10 barsTPSLEntry2022-01
Best tradeUNI January 20, 20221-hour chart12.7% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern5.814.12+10 barsTPSLEntry2021-03
Worst tradeNEAR March 9, 20211-hour chart23.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern745.3691.2+10 barsTPSLEntry2025-012025-01
TextbookBNB January 6, 20251-hour chart0.4% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern0.08170.0784+10 barsTPSLEntry2026-06
TextbookDOGE June 22, 20261-hour chart2.1% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern7.206.45+10 barsTPSLEntry2026-10
Most recentUNI October 26, 20261-hour chart2.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern748.7714.3+10 barsTPSLEntry2026-102026-10
Most recentBNB October 25, 20261-hour chart0.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.25490.2524+10 barsTPSLEntry2023-092023-09
TypicalADA September 8, 20231-hour chart1.1% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern113.9191.46+10 barsTPSLEntry2025-072025-07
TypicalLTC July 18, 20251-hour chart4.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern341.9307.3+10 barsTPSLEntry2025-01
TypicalAAVE January 17, 20251-hour chart3.6% against the expected direction after 10 bars2:1 trade: invalidated before entry

How to trade the three outside up pattern

The classic trading plan buys a break above the high of the pattern, with a stop loss below its low and a profit target set as a multiple of the risk. This is the setup our bench simulates on every occurrence, for swing trading on the daily chart as well as for intraday trading.

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.

◂ Pattern18.3512.33+10 barsTPSLEntry2014-11
TextbookTSLA December 18, 2014Daily chart3.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.25 R

A clean case from our bench: US stocksChosen on its shape alone, never on the outcome. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time.

◂ Pattern22.6818.11+10 barsTPSLEntry2009-122010-04
TextbookMRK January 22, 2010Daily chart5.5% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R, 71 bars after entry, past this chart

Entry strategies for long positions

There are two ways to enter a long position. The aggressive one buys at the close of the third candle; traders who enter there get a better price but no protection if the next session reverses. The conservative one places a buy order just above the pattern high and waits for price to trade through it. In our tests that order was filled in 88.1% of cases, so it works as a filter; in 11.3% of cases, price broke the pattern low first and the setup was canceled before any trade; the few remaining orders expired untouched after 20 bars or when the data ended.

Stop loss placement for risk management

Setting realistic profit targets

The target we test is twice the risk (2:1). Trades that reached that target took a median of 18 days; losing trades took a median of 9 days to fail. The next resistance level, a prior swing high or a falling moving average above price, is another possible target, which we have not tested. You can also take partial profits at 1 R and move the stop to the entry, or exit when price closes below the low of the previous candle. Both are ways to protect profits; we tested only the fixed 2:1 version.

Trading strategies for this pattern

None of these trading strategies is proven in the sense of a guaranteed edge. They are ways to add context to the candles, and each should be tested on your own market before you risk money on it.

Strategy 1: Trading with support levels

Wait for price to reach a support level already marked on the chart, then take the pattern only if it forms there. The idea is to combine a level where buyers acted before with a signal showing that they act again. Support and resistance levels give the reversal a reason to happen where it does.

Strategy 2: Combining with moving averages

Take the pattern only in the direction of the larger trend, for example when price is above its 200-day moving average and the decline was a pullback. We measured this filter: the setup reached its 2:1 target in 35.1% of cases above the 200-day average, in an uptrend, and 37.1% below it. The filter made almost no difference.

Strategy 3: Using RSI divergences for confirmation

Look for a bullish divergence on the RSI: price makes a lower low while the indicator makes a higher low, then the pattern forms. It combines a technical indicator, here a momentum oscillator, with candlestick signals. We have not tested it.

Strategy 4: Fibonacci retracement confluence

You can also look for the pattern at a 50% or 61.8% retracement of the previous rise, where several reasons to buy meet. We have not measured it either.

Strategy 5: Pullback trading on naked charts

Without any indicator, read the price structure: an uptrend with higher highs on the higher timeframe, a pullback on the lower one, and the pattern at the end of the pullback. The candles are used to time the end of the correction, not to call a new trend.

Best timeframes and market conditions

The pattern forms on every timeframe and in every market. Daily candlesticks suit swing trading, hourly ones day trading and the weekly chart position trading. The same rules confirm the candlestick pattern everywhere: a strong second candle, a higher close on the third one and, at the same time, room before the next resistance. Momentum indicators and the trend on a higher timeframe can support the case of the bulls; they are meant to filter out some false reversals before you enter long, a use we have not tested.

Do higher timeframes increase reliability?

Our data does not show it. On the weekly chart the setup reached its 2:1 target in 42.7% of cases, against 41.1% on random weeks. On hourly bars it was 31.3% against 31.4%. The raw numbers rise with the timeframe, but so does the random baseline, and on both timeframes the average result per trade (+0.34 R against +0.30 R weekly, +0.01 R against 0.00 R hourly) stays within the margin of error.

Best markets for this candlestick pattern

No market stood out: the pattern works about the same way in stock, crypto and forex markets. In daily stock trading, the setup reached its target in 36.0% of cases against 36.7% on random dates; on crypto, 39.2% against 33.2%; on forex, 29.9% against 32.0%. In none of these markets does the average result per trade (+0.14 R against +0.15 R on stocks, +0.19 R against +0.01 R on crypto, −0.04 R against +0.02 R on forex) pass our statistical test.

Advantages and limitations of the pattern

Strengths of the pattern

  • Clear rules: three candles, each with a precise condition.
  • A built-in confirmation, so fewer false starts than a lone two-candle signal.
  • A defined risk: the exit goes below the pattern low.
  • Frequent: about one occurrence every 753 bars on the daily chart, so it gives regular trading signals.

When the pattern fails: identifying false signals

  • On its own, it did not beat chance in any market or timeframe we tested.
  • 11.3% of daily setups were canceled before entry.
  • Of the daily trades that hit their stop, 23.1% had first been up 1 R.
  • The confirmation candle makes the entry later and the risk wider.
  • In a sideways market, three rising candles can simply be a swing inside the range.

Comparison with other triple candlestick patterns

Three-candle patterns share one idea: a signal followed by a confirmation. Here is how this one compares with the two patterns closest to it.

Three outside up vs. morning star

The morning star is also a three-candle bullish reversal pattern, but its middle candle is small and gaps down: indecision before the reversal. Here, the middle candle is the largest. The morning star setup reached its 2:1 target in 40.6% of cases against 34.2% on random dates, a larger gap in hit rate, though its average result per trade still did not beat chance significantly.

Three outside up vs. three inside up

The three inside up starts with a harami: a large bearish candle and a short bullish candle inside its body. This one starts with an engulfing: a short bearish candle and a large bullish candle around it. Both end with a confirmation candle. The three inside up reached its 2:1 target in 35.8% of cases against 37.6% on random dates. Neither of these candlestick patterns beat chance.

Statistical reliability and performance

51.6%vs 52.5% at random

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

Measured on 11,258 daily three outside up occurrences across 2,127 assets. Random bars on the same assets are the honest baseline.

No clear edge
46.0%vs 46.1% at random

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

Measured on 15,700 daily three outside down occurrences across 2,093 assets. Random bars on the same assets are the honest baseline.

No clear edge

Three outside up 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 laterThree outside upRandom bars
  • All markets
    All markets, Three outside up: 51.6%
    All markets, Random bars: 52.5%
  • Crypto
    Crypto, Three outside up: 45.4%
    Crypto, Random bars: 44.0%
  • US stocks
    US stocks, Three outside up: 52.5%
    US stocks, Random bars: 53.9%
  • Forex
    Forex, Three outside up: 48.7%
    Forex, Random bars: 50.5%
  • ETFs
    ETFs, Three outside up: 51.1%
    ETFs, Random bars: 56.7%
  • Indices
    Indices, Three outside up: 58.2%
    Indices, Random bars: 57.6%
  • Commodities
    Commodities, Three outside up: 62.7%
    Commodities, Random bars: 51.5%
2:1 trade hit its targetThree outside up tradeSame trade, random dates
  • All markets
    All markets, Three outside up trade: 36.3%
    All markets, Same trade, random dates: 36.0%
  • Crypto
    Crypto, Three outside up trade: 39.2%
    Crypto, Same trade, random dates: 33.2%
  • US stocks
    US stocks, Three outside up trade: 36.0%
    US stocks, Same trade, random dates: 36.7%
  • Forex
    Forex, Three outside up trade: 29.9%
    Forex, Same trade, random dates: 32.0%
  • ETFs
    ETFs, Three outside up trade: 32.4%
    ETFs, Same trade, random dates: 32.2%
  • Indices
    Indices, Three outside up trade: 37.7%
    Indices, Same trade, random dates: 37.1%
  • Commodities
    Commodities, Three outside up trade: 42.2%
    Commodities, Same trade, random dates: 36.5%

Three outside down 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 laterThree outside downRandom bars
  • All markets
    All markets, Three outside down: 46.0%
    All markets, Random bars: 46.1%
  • Crypto
    Crypto, Three outside down: 58.9%
    Crypto, Random bars: 55.2%
  • US stocks
    US stocks, Three outside down: 45.4%
    US stocks, Random bars: 45.5%
  • Forex
    Forex, Three outside down: 46.6%
    Forex, Random bars: 48.6%
  • ETFs
    ETFs, Three outside down: 41.4%
    ETFs, Random bars: 42.6%
  • Indices
    Indices, Three outside down: 39.7%
    Indices, Random bars: 42.1%
  • Commodities
    Commodities, Three outside down: 42.8%
    Commodities, Random bars: 47.6%
2:1 trade hit its targetThree outside down tradeSame trade, random dates
  • All markets
    All markets, Three outside down trade: 27.2%
    All markets, Same trade, random dates: 26.9%
  • Crypto
    Crypto, Three outside down trade: 31.7%
    Crypto, Same trade, random dates: 25.6%
  • US stocks
    US stocks, Three outside down trade: 26.8%
    US stocks, Same trade, random dates: 26.9%
  • Forex
    Forex, Three outside down trade: 29.8%
    Forex, Same trade, random dates: 28.7%
  • ETFs
    ETFs, Three outside down trade: 27.5%
    ETFs, Same trade, random dates: 27.9%
  • Indices
    Indices, Three outside down trade: 28.2%
    Indices, Same trade, random dates: 26.0%
  • Commodities
    Commodities, Three outside down trade: 21.2%
    Commodities, Same trade, random dates: 29.5%
All statistics

Full results for the three outside up 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

Not a reliable signal on its own here. Use it as context, not as a trigger.

10-bar move No clear edge2:1 trade No clear edge

Three outside up: 11,258 occurrences tested

Bullish pattern · All markets · Daily · 2,127 assets · 1970-07 to 2026-10

Moved the expected way after 10 bars
51.6%
vs 52.5% on random bars
Excess return vs its market, 10 bars
−0.11%
95% interval −0.34% to +0.10%
its market−3%+3%
2:1 trade hit the target
36.3%
vs 36.0% for the same trade on random dates
Average result per trade
+0.14 R
vs +0.13 R on random dates

What this means. No measurable difference from the rest of its market over the next 10 bars.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 9,915 triggered entries
Stop order beyond the pattern's extreme. 51 of these entries are not among the 9,864 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
18 days · middle half 10 to 34 · on 3,581 trades that hit it
Time to the stop, when hit
9 days · middle half 4 to 21 · on 5,874 trades that hit it
Time in the trade, all exits
14 days · middle half 6 to 30 · on 9,864 trades

Size and trade path

Pattern range, high to low
6.3% · middle half 4.1% to 10.4% · on 11,258 occurrences
Range vs average bar (ATR)
1.92× · middle half 1.53× to 2.36× · on 11,258 occurrences
Best open profit during the trade
1.15 R · middle half 0.38 R to 2.08 R · on 9,864 trades
Stopped trades that were first up 1 R
23.1% · on 5,874 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
88.1% · on 11,258 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. After a downtrend: a bullish engulfing, then a white candle closing above the second close. 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-hour39,99747.1%48.2%−0.07%Opposite of the textbook
Forex · 1-hour8,51049.8%50.6%−0.002%No clear edge
All markets · 1-hour48,50747.6%48.6%−0.06%Opposite of the textbook
Crypto · 4-hour9,11947.7%47.2%−0.10%No clear edge
Forex · 4-hour2,19950.5%50.4%+0.01%No clear edge
All markets · 4-hour11,31848.3%47.9%−0.08%No clear edge
Crypto · Daily1,60045.4%44.0%+0.77%No clear edge
US stocks · Daily8,70552.5%53.9%−0.27%Weak, below chance
ETFs · Daily22851.1%56.7%−0.29%No clear edge
Indices · Daily23958.2%57.6%−0.36%No clear edge
Forex · Daily35248.7%50.5%−0.06%No clear edge
Commodities · Daily13462.7%51.5%+0.47%No clear edge
All markets · Daily11,25851.6%52.5%−0.11%No clear edge
Crypto · Weekly13238.5%39.4%−1.50%Not enough data
US stocks · Weekly2,16058.0%56.9%+0.03%No clear edge
ETFs · Weekly8252.4%59.6%−0.78%No clear edge
Indices · Weekly5955.9%62.5%−0.42%No clear edge
Forex · Weekly5157.1%49.6%+0.35%No clear edge
Commodities · Weekly3455.9%53.3%−0.09%No clear edge
All markets · Weekly2,51856.7%56.0%−0.08%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-hour34,82831.5%31.5%+0.01 R vs 0.00 RNo clear edge
Forex · 1-hour7,46030.3%31.2%−0.02 R vs 0.00 RNo clear edge
All markets · 1-hour42,28831.3%31.4%+0.01 R vs 0.00 RNo clear edge
Crypto · 4-hour7,93034.0%32.5%+0.08 R vs +0.02 RNo clear edge
Forex · 4-hour1,90831.5%31.6%+0.01 R vs +0.01 RNo clear edge
All markets · 4-hour9,83833.5%32.3%+0.06 R vs +0.01 RNo clear edge
Crypto · Daily1,36039.2%33.2%+0.19 R vs +0.01 RNo clear edge
US stocks · Daily7,66336.0%36.7%+0.14 R vs +0.15 RNo clear edge
ETFs · Daily20432.4%32.2%+0.04 R vs +0.02 RNo clear edge
Indices · Daily21537.7%37.1%+0.23 R vs +0.19 RNo clear edge
Forex · Daily29429.9%32.0%−0.04 R vs +0.02 RNo clear edge
Commodities · Daily12842.2%36.5%+0.32 R vs +0.12 RNo clear edge
All markets · Daily9,86436.3%36.0%+0.14 R vs +0.13 RNo clear edge
Crypto · Weekly11436.8%35.6%+0.11 R vs +0.07 RNot enough data
US stocks · Weekly1,90643.4%41.9%+0.36 R vs +0.33 RNo clear edge
ETFs · Weekly7548.0%41.4%+0.46 R vs +0.31 RNo clear edge
Indices · Weekly5740.4%40.9%+0.32 R vs +0.27 RNo clear edge
Forex · Weekly4017.5%24.8%−0.40 R vs −0.20 RNo clear edge
Commodities · Weekly3043.3%37.5%+0.42 R vs +0.14 RNo clear edge
All markets · Weekly2,22242.7%41.1%+0.34 R vs +0.30 RNo clear edge

Our verdict

Not a reliable signal on its own here. Use it as context, not as a trigger.

10-bar move No clear edge2:1 trade No clear edge

Three outside down: 15,700 occurrences tested

Bearish pattern · All markets · Daily · 2,093 assets · 1970-11 to 2026-10

Moved the expected way after 10 bars
46.0%
vs 46.1% on random bars
Excess return vs its market, 10 bars
−0.09%
95% interval −0.23% to +0.05%
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
27.2%
vs 26.9% for the same trade on random dates
Average result per trade
−0.13 R
vs −0.15 R on random dates

What this means. No measurable difference from the rest of its market over the next 10 bars.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 13,140 triggered entries
Stop order beyond the pattern's extreme. 128 of these entries are not among the 13,012 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
17 days · middle half 8 to 30 · on 3,538 trades that hit it
Time to the stop, when hit
9 days · middle half 4 to 20 · on 9,014 trades that hit it
Time in the trade, all exits
11 days · middle half 5 to 25 · on 13,012 trades

Size and trade path

Pattern range, high to low
5.0% · middle half 3.3% to 8.0% · on 15,700 occurrences
Range vs average bar (ATR)
1.94× · middle half 1.57× to 2.40× · on 15,700 occurrences
Best open profit during the trade
0.84 R · middle half 0.29 R to 2.02 R · on 13,012 trades
Stopped trades that were first up 1 R
21.7% · on 9,014 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
83.7% · on 15,700 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. After an uptrend: a bearish engulfing, then a black candle closing below the second close. 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-hour35,90348.1%50.6%−0.09%Opposite of the textbook
Forex · 1-hour9,02348.4%49.2%+0.003%No clear edge
All markets · 1-hour44,92648.2%50.3%−0.07%Opposite of the textbook
Crypto · 4-hour8,30253.2%52.0%+0.05%No clear edge
Forex · 4-hour2,43548.6%49.2%−0.01%No clear edge
All markets · 4-hour10,73752.2%51.4%+0.04%No clear edge
Crypto · Daily1,05658.9%55.2%+0.07%No clear edge
US stocks · Daily13,21745.4%45.5%−0.10%No clear edge
ETFs · Daily43541.4%42.6%−0.31%No clear edge
Indices · Daily42539.7%42.1%−0.11%No clear edge
Forex · Daily40146.6%48.6%−0.04%No clear edge
Commodities · Daily16642.8%47.6%−0.49%No clear edge
All markets · Daily15,70046.0%46.1%−0.09%No clear edge
Crypto · Weekly10180.4%61.2%+5.12%Not enough data
US stocks · Weekly3,94643.6%42.2%+0.10%No clear edge
ETFs · Weekly17242.0%36.9%+0.03%No clear edge
Indices · Weekly12337.7%36.9%+0.37%No clear edge
Forex · Weekly2941.4%48.8%−0.29%Not enough data
Commodities · Weekly4045.0%45.2%+2.13%No clear edge
All markets · Weekly4,41144.2%42.3%+0.23%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-hour30,90829.0%30.3%−0.02 R vs +0.01 RNo clear edge
Forex · 1-hour8,02329.5%30.9%−0.04 R vs −0.01 RNo clear edge
All markets · 1-hour38,93129.1%30.4%−0.02 R vs 0.00 RNo clear edge
Crypto · 4-hour7,11432.7%28.8%+0.13 R vs −0.01 RPromising
Forex · 4-hour2,14628.9%30.9%−0.05 R vs −0.01 RNo clear edge
All markets · 4-hour9,26031.8%29.3%+0.09 R vs −0.01 RPromising
Crypto · Daily83431.7%25.6%+0.20 R vs −0.01 RNo clear edge
US stocks · Daily11,00526.8%26.9%−0.16 R vs −0.16 RNo clear edge
ETFs · Daily34627.5%27.9%−0.16 R vs −0.15 RNo clear edge
Indices · Daily34828.2%26.0%−0.13 R vs −0.19 RNo clear edge
Forex · Daily34229.8%28.7%−0.05 R vs −0.09 RNo clear edge
Commodities · Daily13721.2%29.5%−0.30 R vs −0.06 RNo clear edge
All markets · Daily13,01227.2%26.9%−0.13 R vs −0.15 RNo clear edge
Crypto · Weekly1428.6%17.9%−0.14 R vs −0.41 RNot enough data
US stocks · Weekly3,16220.7%20.0%−0.32 R vs −0.34 RNo clear edge
ETFs · Weekly14118.4%23.3%−0.41 R vs −0.26 RNo clear edge
Indices · Weekly10920.2%23.9%−0.39 R vs −0.27 RNo clear edge
Forex · Weekly2429.2%24.3%−0.13 R vs −0.26 RNot enough data
Commodities · Weekly3520.0%24.3%−0.40 R vs −0.19 RNo clear edge
All markets · Weekly3,48520.7%20.4%−0.32 R vs −0.33 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 data tells us about success rates

The three outside up candlestick pattern is not reliable on its own: in most markets and timeframes we tested, it was followed by a rise about as often as a random candle on the same markets, or slightly less often: on hourly charts the gap is rated worse than chance, and on daily charts no clear edge. A few rows came out above random bars, such as weekly forex (57.1% against 49.6%), daily indices (58.2% against 57.6%, though its average excess return, −0.36%, rates No clear edge) and weekly charts as a whole (56.7% against 56.0%), but none of them is a confirmed edge in our tests. Here are the numbers from our test bench.

What you often read

“The three outside up is a reliable bullish reversal signal.”

What our data shows

On 11,258 daily occurrences, it moved in the expected direction 51.6% of the time, against 52.5% for random bars: no clear edge, since the average excess return is not statistically significant.

What you often read

“The three outside down is a reliable bearish reversal signal.”

What our data shows

On 15,700 daily occurrences, it moved in the expected direction 46.0% of the time, against 46.1% for random bars: no clear edge, since the average excess return is not statistically significant.

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframePatterns testedHigher 10 bars laterRandom barsClosed trades2:1 target hitSame setup, random datesExpectancy (R)
All markets, daily11,25851.6%52.5%9,86436.3%36.0%+0.14 vs +0.13
US stocks, daily8,70552.5%53.9%7,66336.0%36.7%+0.14 vs +0.15
Crypto, daily1,60045.4%44.0%1,36039.2%33.2%+0.19 vs +0.01
Crypto, hourly39,99747.1%48.2%34,82831.5%31.5%+0.01 vs 0.00
Crypto, 4-hour9,11947.7%47.2%7,93034.0%32.5%+0.08 vs +0.02
Forex, hourly8,51049.8%50.6%7,46030.3%31.2%−0.02 vs 0.00
All markets, weekly2,51856.7%56.0%2,22242.7%41.1%+0.34 vs +0.30

Read the table in pairs of columns. On the daily chart, 51.6% of patterns were followed by a higher price 10 days later. That sounds bullish until you see that 52.5% of random days on the same markets were too: stocks, which make up most of the sample, rise a little more often than they fall. The excess return over the rest of the market after 10 days is −0.11%, with a 95% confidence interval from −0.34% to +0.10%. Zero is inside the interval: no measurable difference from the rest of the market, rated no clear edge.

The expectancy column gives the average result of the 2:1 setup in R (multiples of the risk), before costs, next to the same entry, exit and target on random dates. On that timeframe, +0.14 R against +0.13 R: the positive value comes from the general rise of stocks over time, not from the pattern. On hourly bars, it did slightly worse than the rest of the market, with an excess return of −0.06%, rated Worse than chance: the gap is small, but it survives our correction.

The bearish version gave a similar picture. On 15,700 daily bearish patterns, 46.0% were followed by a lower price 10 days later, against 46.1% for random days, an excess return rated no clear edge, and the 2:1 short setup had an expectancy of −0.13 R, against −0.15 R on random dates.

Backtesting your own rules

The breakdowns below are descriptive, not corrected for multiple testing. Patterns with volume above 1.5 times the 20-day average were higher 10 days later in 51.7% of cases, against 51.7% on normal volume: high volume did not help. Above the 200-day moving average, the excess return was −0.20%; below it, −0.10%. The result was not stable over the years: −0.33% in the first half of the history, +0.11% in the second.

If you want to use it in your trading plan, backtest your own version: add a filter (support, trend, momentum), record every occurrence, and compare the result with the same setup on random dates. That comparison is the only way to know whether your filter adds anything. The full method is in our methodology.

Case studies of the pattern

The gallery in the Real examples section shows real patterns picked by our bench, with their actual outcome. The case studies here come from our bench's detections on crypto charts: daily, except the last one, on an hourly chart.

Case study: a pattern that reached its target

BNB/USDT printed a bearish candle on June 22, 2025, a bullish candle that engulfed it on June 23, and a third bullish candle on June 24 that closed at 643.53, above the second close at 640.49. The buy order at the pattern high (644.09) was filled on June 25, with a stop at 601.25 and a 2:1 target at 729.77. Price reached the target on July 18, 2025, and was 1.6% higher 10 days after the pattern.

Case study: a trade stopped out

ETC/USDT formed the pattern from June 8 to 10, 2025, with a last close at 18.56. The buy order at 18.61 was filled on June 11. Two days later, on June 13, 2025, price fell through the low of the pattern at 16.62: a full 1 R loss. ETC was 13.1% lower 10 days after the pattern.

Case study: a setup canceled before entry

NEAR/USDT completed the bearish version on December 28, 2021, with a third candle that closed at 13.335, below the second close at 14.752. Price never traded below the pattern low at 13.036: in the first days of January 2022, it rose above the pattern high at 16.49, and the setup was canceled without a trade. NEAR was 12.9% higher 10 days after the pattern.

Case study: a bearish trade that reached its target

On the hourly chart of SOL/USDT on November 25, 2020, a white candle opened at 2.4253 and closed at 2.4719; the next one opened above it, at 2.4764, and closed at 2.4167, below that first open, a long black body covering the whole white one; a third black candle then closed at 2.3404. The sell order at the pattern low (2.30) was filled two hours later, with a stop at the pattern high (2.4779) and a 2:1 target at 1.9442. By 03:00 on November 26, SOL had fallen to 1.782, through the target: a gain of 2 R on the short trade. This case is also a card in the hourly crypto gallery.

Tools for finding the pattern

Charting platforms can scan for this candlestick pattern and set alerts on it. The open-source TA-Lib library provides the CDL3OUTSIDE function, which returns both the bullish and the bearish version, and TradingView offers community scripts that flag it. Check the definition your tool uses: some require a prior trend, some do not, and that changes the results. A scanner finds the formation; your analysis decides whether to follow it. Indicators and scanners do not change what the candles mean.

Frequently asked questions about the three outside up

Is the pattern a reliable indicator?

Not on its own. On 11,258 occurrences on the daily timeframe (9,864 closed trades), the setup reached its 2:1 target in 36.3% of cases against 36.0% on random dates, but the gap in average result per trade does not pass our statistical test.

Is the three outside up a bullish candlestick pattern?

Yes. It is a bullish candlestick pattern that appears after a downtrend and signals a potential reversal to an uptrend. The bearish candlestick pattern with the same structure appears after an uptrend.

What is the success rate of this pattern?

It depends on how success is defined. In our tests, the 2:1 setup reached its target in 36.3% of cases, and the pattern was followed by a higher price 10 days later in 51.6% of cases. Both rates were close to those of random days on the same markets (36.0% for the trade, 52.5% for the 10-day direction). The average result per trade did not differ measurably from chance, and the average excess return was slightly negative but within the margin of error, rated no clear edge.

Can this pattern be used for day trading?

Yes, it appears on intraday charts: about once every 347 hourly bars in our data. On hourly bars it did slightly worse than the rest of the market over the next 10 bars.

Does color matter for the third candle?

In our rule, yes: the third candle must be bullish and close above the second one. Some tools, such as TA-Lib, only ask for the higher close. A bearish third candle breaks the pattern: the reversal was not confirmed.

How do I avoid false breakouts with this pattern?

Enter with a buy order above the pattern high rather than at the close of the third candle, so that a setup whose low breaks first is canceled before any trade. Keep the exit below the pattern low and risk a fixed, modest share of your account.

Summary of key points

  • The three outside up is a bearish candle, a bullish candle that engulfs it, and a third bullish candle that closes higher, after a downtrend.
  • The bearish mirror image appears after an uptrend and works the same way, with no edge either: on daily charts its result is within the margin of error, and on hourly charts it did slightly worse than the rest of the market, rated worse than chance.
  • On 11,258 daily occurrences, 51.6% were higher 10 days later, against 52.5% for random days.
  • The 2:1 setup reached its target in 36.3% of cases against 36.0% on random dates, with an expectancy of +0.14 R against +0.13 R before costs.
  • Volume and the 200-day moving average changed the results only slightly.

If you trade this pattern, treat it as a place to define a position, not as a reason for one. Set the exit below the pattern low before entry, size the position on that distance, and keep the risk per trade small.

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.

, 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