Pattern direction

CandlestickBullish: Rising three methodsBearish: Falling three methods

Rising Three Methods Candlestick Pattern (and Falling Three Methods): Rules, Trading and Tested Results

Five candles, a pause inside a trend, then a close that resumes it. This guide covers both versions, the stop-order trade we test and how each one did against random dates.

· Founder of PatternsWizard
Updated Statistics updated 15 min read
Rising three methods patternFalling three methods pattern
Occurrences tested
190
6 markets, 1987 to 2026, found by code
Rising three methods: textbook says price should rise
Too close to call
−0.13% in the expected direction vs the market after 10 bars, all markets, daily
Falling three methods: textbook says price should fall
Too close to call
+0.38% in the expected direction vs the market after 10 bars, all markets, daily

How we tested this pattern

Sample
190 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1987 to 2026.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.rising three methods pattern: In an uptrend: a long white candle; three short candles drifting lower inside its range (the first and third black); a long white candle opening above the fourth close and closing above the first close. 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.falling three methods pattern: In a downtrend: a long black candle; three short candles drifting higher inside its range (the first and third white); a long black candle opening below the fourth close and closing below the first close. 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.
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 · rising three methods pattern data (JSON) · falling three methods pattern data (JSON)

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At a glance: what textbooks say, what we measured
Pattern
Bullish: Rising three methods
Occurrences tested
108 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · −0.13% vs the market, 10 bars
Where it did best, US stocks left out
Crypto, 1-hour: +0.07 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: No clear edge2:1 trade: No clear edge
Pattern
Bearish: Falling three methods
Occurrences tested
82 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · +0.38% vs the market, 10 bars
Its best market and timeframe, still negative
Crypto, 1-hour: −0.28 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 rising three methods candlestick pattern?
  2. How to identify the rising three methods pattern
  3. Components of the rising three methods
  4. Real examples
  5. How to trade the rising three methods pattern
  6. Confirmatory indicators
  7. Common mistakes when trading this pattern
  8. Rising three methods vs. falling three methods
  9. Reliability and success rate statistics
  10. Rising three methods case studies
  11. Related candlestick patterns
  12. Pros and cons of the rising three methods
  13. Frequently asked questions
  14. Summary of key points
  15. Final trading tips

The rising three methods candlestick pattern is a five-candle bullish continuation pattern: in an uptrend, a long bullish candlestick, then three small candlesticks drifting lower, their bodies inside its range, then a long bullish candlestick that closes above the close of the first one. Its bearish mirror, the falling three methods pattern, does the same thing in a downtrend. Both describe a short pause before the move resumes.

This guide covers how traders identify both candlestick patterns, how they use them in trading, and what actually happened next. Our test bench applied the same rule to full price history, for the rising and the falling version, across stocks, crypto, ETFs, indices, commodities and forex, and compared the outcome with random bars on the same markets.

What is the rising three methods candlestick pattern?

Defining the bullish continuation signal

The rising three methods is a bullish continuation pattern. It does not announce a reversal: it says that an existing uptrend paused for a few sessions and then resumed. Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), presents it among the continuation candlestick patterns, as a rest rather than a change of direction.

Our bench applies the rule without judgment: in an uptrend (the close before the pattern is at least one average true range (ATR) above the close 10 bars earlier, and in the upper half of the 40 previous closes), a long white candle; three short candles with lower and lower closes, their bodies inside its range (between its high and its low), the first and third black; then a long white candle opening above the fourth close and closing above the first close. "Long" and "short" are measured against the ten previous candles, as in the open-source TA-Lib library for technical analysis. Our rule finds 60% of the rising and 53% of the falling occurrences TA-Lib flags, so our counts are not the total another scanner would report.

The psychology behind the pattern

The first candle shows buyers in control. During the next three sessions, price drifts lower, but sellers cannot close it below the low of the first candle. The last candle tells the market that the pullback is over: buyers return and close the price above where the first session ended. The middle candles are a consolidation phase, not a reversal.

That reading is plausible, but it describes five candles. Whether the trend really continues after them is a question for data, and we answer it in the reliability section.

How to identify the rising three methods pattern

1234
  1. Long white candlein an uptrend
  2. Short black candlefirst of three, drifting lower
  3. Third short candleblack, inside the first range
  4. Long white candleopens above the fourth close, closes above the first close
Median shape of 83 daily occurrences from all markets, those with the candle colors drawn here (84% of the 99 usable), found by our test bench.
1234
  1. Long black candlein a downtrend
  2. Short white candlefirst of three, drifting higher
  3. Third short candlewhite, inside the first range
  4. Long black candleopens below the fourth close, closes below the first close
Median shape of 64 daily occurrences from all markets, those with the candle colors drawn here (85% of the 75 usable), found by our test bench.

The five-candle formation criteria

  1. An uptrend. Price must be rising before the rising three methods pattern forms: higher highs and higher lows; in our rule, a close at least one ATR above the close 10 bars earlier and in the upper half of the 40 previous closes.
  2. A long bullish candlestick. The first candle has a large real body and closes near its high.
  3. Three small candles inside its range. They drift lower, ideally with bearish bodies in the classic definition, and their bodies stay between the high and the low of the first candle. Stricter textbook versions want the whole candles, wicks included, inside that range; our bench checks the bodies only, so a wick may poke slightly outside.
  4. A long bullish fifth candlestick. It opens above the close of the fourth candle and closes above the close of the first one.
  5. A completed close. The pattern only exists once that final candle has closed.

Looser versions of the pattern accept two or four small candles in the middle instead of three. The results of a test depend on that choice: our statistics use the strict five-candle version.

Visualizing the pattern on a price chart

The chart below is not drawn by hand. It is the median shape of the rising three methods patterns our bench detected (the falling version is shown in the Rising three methods vs. falling three methods section), with the position we test: entry above the pattern, stop-loss below it, target at twice the risk.

TPSLEntryBullish
Bullish setup on the median shape of 83 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

Components of the rising three methods

The first long bullish candle

The first candlestick sets the frame of the whole rising three methods pattern. Its high and low are the limits that the bodies of the three middle candles must respect. On the median daily occurrence, the five candles span 5.30% of price, or 1.99 times the average true range (ATR): a large formation.

The three small counter-trend candles

The middle candles are the rest. Their small bodies show that the pullback lacks force. If one of them closes below the low of the first candle, sellers have taken control and the pattern is void.

The final breakout candle

The fifth candle is the signal. A strong close above the first close shows that buyers are back in control. A stricter version of the rule also wants it to close above the high of the first candle; our bench does not require it.

Real examples

Real occurrences from our test bench, each on its market's main timeframe. Category cards on crypto and US stocks 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. Rising three methods pattern: on commodities, our bench gives a single example card, so it carries no Best, Worst or other label: it is one real occurrence, not a ranked pick. 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 and ETF prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 21 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 197 rising three methods occurrences on 1-hour charts, price moved the expected way 10 bars later 45.7% of the time, against 48.6% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern39.1329.50+10 barsTPSLEntry2021-02
Best tradeDOT February 19, 20211-hour chart11.0% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern4,2893,753+10 barsTPSLEntry2021-122021-12
TextbookETH December 21, 20211-hour chart0.1% in the expected direction after 10 bars2:1 trade: closed at +0.25 R, 100 bars after entry, past this chart
◂ Pattern0.21420.2002+10 barsTPSLEntry2020-012020-01
TypicalXRP January 10, 20201-hour chart1.0% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
Examples
US stocks overallAcross 89 daily rising three methods occurrences, price moved the expected way 10 bars later 51.1% of the time, against 54.4% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern27.9316.97+10 barsTPSLEntry2022-062022-10
Best tradeMost recentNFLX July 27, 2022Daily chart7.7% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern13.9811.87+10 barsTPSLEntry2016-10
Best tradeMost recentDELL November 15, 2016Daily chart6.9% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern36.4626.79+10 barsTPSLEntry2014-052014-08
TypicalMU June 30, 2014Daily chart3.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern8.114.99+10 barsTPSLEntry2006-082006-11
TypicalMA October 5, 2006Daily chart0.4% against the expected direction after 10 bars2:1 trade: target hit, +2.00 R
ETFs overallAcross 2 daily rising three methods occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern50.5049.12+10 barsTPSLEntry2007-03
Worst tradeTypicalLQD April 30, 2007Daily chart0.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern52.4139.54+10 barsTPSLEntry2014-05
Worst tradeTypicalXBI June 16, 2014Daily chart2.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Real occurrences 1 of the 2 occurrences on commodities (daily charts)

Commodities overallAcross 2 daily rising three methods occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe example below is a single case.
◂ Pattern10.354.52+10 barsTPSLEntry2003-11
Natural gas futures December 12, 2003Daily chart8.6% against the expected direction after 10 bars2:1 trade: invalidated before entry
Market
Examples
Crypto overallAcross 251 falling three methods occurrences on 1-hour charts, price moved the expected way 10 bars later 43.4% of the time, against 50.8% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern0.44700.3435+10 barsTPSLEntry2021-052021-05
Best tradeXLM May 28, 20211-hour chart3.4% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern4.353.69+10 barsTPSLEntry2025-03
Worst tradeTypicalDOT March 9, 20251-hour chart4.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern14.0912.44+10 barsTPSLEntry2018-05
Worst tradeTypicalBNB May 7, 20181-hour chart3.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern419.1333.4+10 barsTPSLEntry2018-042018-04
TextbookETH April 4, 20181-hour chart0.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R, 73 bars after entry, past this chart
Examples
US stocks overallAcross 64 daily falling three methods occurrences, price moved the expected way 10 bars later 50.8% of the time, against 46.0% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern10.928.13+10 barsTPSLEntry2006-052006-07
Worst tradeTypicalMSTR June 5, 2006Daily chart1.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern93.0775.09+10 barsTPSLEntry2018-01
Most recentTypicalPEP February 14, 2018Daily chart0.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern30.8023.64+10 barsTPSLEntry2014-092014-11
Most recentFCX October 7, 2014Daily chart0.7% against the expected direction after 10 bars2:1 trade: target hit, +2.00 R
Examples
Indices overallAcross 4 daily falling three methods occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern10,6108,062+10 barsTPSLEntry2001-08
Best tradeTypicalDow Jones Industrial Average September 6, 2001Daily chart12.9% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern7,3865,695+10 barsTPSLEntry2002-062002-10
Best tradeTypicalS&P/TSX Composite July 19, 2002Daily chartNo net move after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern1,8971,619+10 barsTPSLEntry2009-12
Worst tradeMost recentTypicalNasdaq 100 February 4, 2010Daily chart5.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.05 R
◂ Pattern2,3261,971+10 barsTPSLEntry2009-12
Worst tradeMost recentTypicalNasdaq Composite February 4, 2010Daily chart5.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
ETFs overallAcross 3 daily falling three methods occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern40.4034.49+10 barsTPSLEntry2009-12
Worst tradeTextbookTypicalQQQ February 4, 2010Daily chart5.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.04 R
◂ Pattern9.377.80+10 barsTPSLEntry2009-12
Worst tradeTextbookTypicalXLK February 4, 2010Daily chart4.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

How to trade the rising three methods pattern

Unless stated otherwise, the figures in this section are for the daily timeframe, all markets combined.

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 83 daily occurrences from all markets, those with the candle colors drawn here (84% of the 99 usable).
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 64 daily occurrences from all markets, those with the candle colors drawn here (85% of the 75 usable).

A real case from our bench: CommoditiesThe only example card our bench gives on this market, the one in the gallery: not a ranked pick.

◂ Pattern10.354.52+10 barsTPSLEntry2003-11
Natural gas futures December 12, 2003Daily chart8.6% against the expected direction after 10 bars2:1 trade: invalidated before entry

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

◂ Pattern9.377.80+10 barsTPSLEntry2009-12
TextbookXLK February 4, 2010Daily chart4.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Determining the ideal entry point

The aggressive entry buys at the close of the fifth candlestick. The conservative entry places a buy stop just above the high of the five-candle pattern. In our tests, that entry was triggered in 86.1% of cases; in 13.0%, price broke below the pattern low first and the setup was canceled before any trade was opened. The few remaining setups touched neither level within the 20 bars our test allows.

Where to place your stop-loss order

Setting profit targets

The target we test is twice the risk (a 2:1 reward-to-risk setup); the next resistance level is another choice. Trades that reached the 2:1 target took a median of 17 days; those that were stopped out took a median of 10 days. Of the trades that hit their stop, 29.0% had first been up 1 R. Moving the stop up once the trade is in profit is one answer to that; our test keeps the stop fixed.

Building it into a trading plan

The rising three methods is best treated as one of several trading signals inside a trading plan: a trend filter, a level, a position size and an exit rule. It can be read on hourly bars for day trading or on daily ones for swing trading. Whatever your trading style, write the rules down before the trade, apply them on every occurrence and keep a trading journal: rare patterns make it easy to remember the winners and forget the losers.

Confirmatory indicators

Candlestick patterns can be combined with technical analysis indicators to filter trading signals. Here is what we tested, and what we did not.

Using volume to validate the breakout

A classic filter wants higher volume on the fifth candle than on the middle ones. We measured high volume (above 1.5 times the 20-day average): on daily charts, those patterns reached the 2:1 target in 16.0% of cases (−0.40 R per trade), against 33.8% on normal volume (+0.05 R), on only 28 high-volume occurrences, too few to interpret. The average excess return over the rest of the market was +1.46% against −0.66%. This breakdown is descriptive, not corrected for multiple testing.

Moving averages as trend filters

Above the 200-day moving average, the 2:1 trade reached its target in 24.1% of cases (expectancy −0.21 R). Only 7 occurrences formed below it, too few to measure, so our data cannot say whether this long-term trend filter helps.

Relative strength index (RSI) for momentum

Another filter checks that the RSI stays above 50 during the pullback, a sign that momentum is intact. We have not tested that filter: if you use it, test it on your own market first.

Fibonacci retracement levels

A pullback that holds near the 38.2% or 50% retracement of the first candle fits the textbook picture. We have not measured it.

Common mistakes when trading this pattern

Entering before the pattern is fully completed

Ignoring the broader market trend

A rising three methods pattern inside a weekly downtrend is a pause in a bounce, not a continuation of the main trend. Read the higher timeframe first.

Misinterpreting consolidation as a reversal

The three bearish candlesticks in the middle look like the start of a decline. While they stay within the first candle, they are a consolidation. Selling them is the classic mistake with this pattern.

Rising three methods vs. falling three methods

TPSLEntryBearish
Bearish setup on the median shape of 64 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

Key differences in structure

The falling three methods pattern is the exact mirror: in a downtrend, a long black candle, three small candles with higher and higher closes, their bodies inside its range (the first and third white), then a long black candle opening below the fourth close and closing below the first close. It is a bearish continuation pattern.

Comparing bearish and bullish sentiment

On our data, the two candlestick patterns did not behave the same way. On daily charts, 49.4% of the 82 falling three methods patterns were followed by a lower price 10 days later, against 47.0% of random days: an excess return of +0.38% in the expected direction, with a 95% confidence interval from −1.18% to +1.95%. Zero is inside that interval, so the lean in the expected direction is not a measurable edge. The 2:1 short trade did slightly worse than random dates, a gap our test does not separate from chance: 29.2% of targets hit against 30.0% on random dates, for an expectancy of −0.10 R against −0.01 R at random. On hourly crypto charts, the falling three methods lagged random dates: 24.4% of targets hit against 32.3% on random dates, and −0.24 R against +0.05 R per trade, a negative difference that does not pass our statistical test. In the All measurements table, the row reads No clear edge in the 2:1 trade verdict column, and its 10-bar move verdict reads No clear edge.

How traders trade the falling three methods pattern

Traders use the falling three methods pattern the same way, reversed: a sell stop just below the low of the five candles, a stop above the high of the pattern (the high of the first candle, unless a later wick went above it), and a target at twice the risk. In our daily tests, the sell stop was triggered in 89.0% of cases. Trades that reached the target took a median of 9 days, and those that were stopped out a median of 12 days. Hourly crypto charts remain the weakest case against random dates, as the results above show.

Reliability and success rate statistics

The rising three methods is not reliable on its own: on no market or timeframe with enough data did it beat random bars on the same markets by a margin that clears our tests. Weekly charts came closest on the 10-bar rate alone (63.6% higher after 10 weeks against 57.3%, a gap within the error margin), and both their excess return (+0.25%) and their 2:1 trade (44.7% of targets hit against 43.0% on random weeks) stayed close to chance.

50.5%vs 53.2% at random

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

Measured on 108 daily rising three methods occurrences across 100 assets. Random bars on the same assets are the honest baseline.

No clear edge
49.4%vs 47.0% at random

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

Measured on 82 daily falling three methods occurrences across 82 assets. Random bars on the same assets are the honest baseline.

No clear edge

Rising three methods 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 laterRising three methodsRandom bars
  • All markets
    All markets, Rising three methods: 50.5%
    All markets, Random bars: 53.2%
  • US stocks
    US stocks, Rising three methods: 51.1%
    US stocks, Random bars: 54.4%
2:1 trade hit its targetRising three methods tradeSame trade, random dates
  • All markets
    All markets, Rising three methods trade: 29.0%
    All markets, Same trade, random dates: 39.1%
  • US stocks
    US stocks, Rising three methods trade: 30.8%
    US stocks, Same trade, random dates: 39.2%

Falling three methods 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 laterFalling three methodsRandom bars
  • All markets
    All markets, Falling three methods: 49.4%
    All markets, Random bars: 47.0%
  • US stocks
    US stocks, Falling three methods: 50.8%
    US stocks, Random bars: 46.0%
2:1 trade hit its targetFalling three methods tradeSame trade, random dates
  • All markets
    All markets, Falling three methods trade: 29.2%
    All markets, Same trade, random dates: 30.0%
  • US stocks
    US stocks, Falling three methods trade: 23.2%
    US stocks, Same trade, random dates: 29.3%
All statistics

Full results for the rising three methods 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

Rising three methods: 108 occurrences tested

Bullish pattern · All markets · Daily · 100 assets · 1987-04 to 2026-10

Moved the expected way after 10 bars
50.5%
vs 53.2% on random bars
Excess return vs its market, 10 bars
−0.13%
95% interval −2.11% to +2.15%
its market−3%+3%
2:1 trade hit the target
29.0%
vs 39.1% for the same trade on random dates
Average result per trade
−0.07 R
vs +0.20 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 2 · on 93 triggered entries
Stop order beyond the pattern's extreme.
Time to the 2:1 target, when hit
too few to measure · on 27 trades that hit it
Time to the stop, when hit
10 days · middle half 4 to 20 · on 62 trades that hit it
Time in the trade, all exits
13 days · middle half 5 to 26 · on 93 trades

Size and trade path

Pattern range, high to low
5.3% · middle half 3.7% to 8.3% · on 108 occurrences
Range vs average bar (ATR)
1.99× · middle half 1.70× to 2.34× · on 108 occurrences
Best open profit during the trade
1.12 R · middle half 0.30 R to 2.06 R · on 93 trades
Stopped trades that were first up 1 R
29.0% · on 62 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
86.1% · on 108 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. In an uptrend: a long white candle; three short candles drifting lower inside its range (the first and third black); a long white candle opening above the fourth close and closing above the first close. 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 (12 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-hour19745.7%48.6%+0.05%No clear edge
Crypto · 4-hour5843.1%47.5%+1.44%No clear edge
Crypto · Daily1553.3%46.4%−0.64%Not enough data
US stocks · Daily8951.1%54.4%+0.06%No clear edge
ETFs · Daily250.0%57.2%−0.13%Not enough data
Commodities · Daily20.0%49.4%−4.28%Not enough data
All markets · Daily10850.5%53.2%−0.13%No clear edge
Crypto · Weekly1100.0%31.1%−69.75%Not enough data
US stocks · Weekly4062.5%57.7%+2.01%No clear edge
Indices · Weekly2100.0%60.1%+1.15%Not enough data
Forex · Weekly10.0%59.0%−2.01%Not enough data
All markets · Weekly4463.6%57.3%+0.25%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-hour15835.4%32.8%+0.13 R vs +0.07 RNo clear edge
Crypto · 4-hour4727.7%32.4%−0.10 R vs +0.10 RNo clear edge
Crypto · Daily1225.0%37.5%−0.21 R vs +0.25 RNot enough data
US stocks · Daily7830.8%39.2%−0.01 R vs +0.19 RNo clear edge
ETFs · Daily20.0%50.0%−1.00 R vs +0.50 RNot enough data
Commodities · Daily10.0%25.0%−1.00 R vs −0.25 RNot enough data
All markets · Daily9329.0%39.1%−0.07 R vs +0.20 RNo clear edge
Crypto · Weekly1100.0%0.0%+2.00 R vs −1.00 RNot enough data
US stocks · Weekly3444.1%45.1%+0.38 R vs +0.36 RNo clear edge
Indices · Weekly20.0%25.0%−1.00 R vs −0.27 RNot enough data
Forex · Weekly1100.0%50.0%+2.00 R vs +1.04 RNot enough data
All markets · Weekly3844.7%43.0%+0.40 R vs +0.31 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

Falling three methods: 82 occurrences tested

Bearish pattern · All markets · Daily · 82 assets · 2000-04 to 2026-10

Moved the expected way after 10 bars
49.4%
vs 47.0% on random bars
Excess return vs its market, 10 bars
+0.38%
95% interval −1.18% to +1.95%
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 30.0% for the same trade on random dates
Average result per trade
−0.10 R
vs −0.01 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 2 · on 73 triggered entries
Stop order beyond the pattern's extreme. 1 of these entries is not among the 72 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
too few to measure · on 21 trades that hit it
Time to the stop, when hit
12 days · middle half 6 to 18 · on 49 trades that hit it
Time in the trade, all exits
12 days · middle half 6 to 23 · on 72 trades

Size and trade path

Pattern range, high to low
7.5% · middle half 5.0% to 12.9% · on 82 occurrences
Range vs average bar (ATR)
1.95× · middle half 1.70× to 2.26× · on 82 occurrences
Best open profit during the trade
0.86 R · middle half 0.37 R to 2.07 R · on 72 trades
Stopped trades that were first up 1 R
24.5% · on 49 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
89.0% · on 82 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. In a downtrend: a long black candle; three short candles drifting higher inside its range (the first and third white); a long black candle opening below the fourth close and closing below the first close. 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 (11 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-hour25143.4%50.8%−0.16%No clear edge
Crypto · 4-hour7034.3%52.2%+0.54%No clear edge
Crypto · Daily1154.5%56.6%−0.93%Not enough data
US stocks · Daily6450.8%46.0%+0.75%No clear edge
ETFs · Daily333.3%42.8%+1.16%Not enough data
Indices · Daily425.0%40.6%−2.52%Not enough data
All markets · Daily8249.4%47.0%+0.38%No clear edge
Crypto · Weekly20.0%52.5%−12.75%Not enough data
US stocks · Weekly1811.1%44.7%−10.51%Not enough data
Indices · Weekly1100.0%45.2%+16.88%Not enough data
All markets · Weekly2114.3%45.5%−9.42%Not enough data

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-hour20924.4%32.3%−0.24 R vs +0.05 RNo clear edge
Crypto · 4-hour4922.4%29.3%−0.29 R vs −0.02 RNo clear edge
Crypto · Daily955.6%27.8%+0.67 R vs +0.05 RNot enough data
US stocks · Daily5623.2%29.3%−0.28 R vs −0.03 RNo clear edge
ETFs · Daily333.3%41.7%+0.21 R vs +0.20 RNot enough data
Indices · Daily450.0%35.4%+0.49 R vs +0.05 RNot enough data
All markets · Daily7229.2%30.0%−0.10 R vs −0.01 RNo clear edge
Crypto · Weekly0n/an/an/a vs n/aNot enough data
US stocks · Weekly1010.0%14.2%−0.70 R vs −0.36 RNot enough data
Indices · Weekly10.0%25.0%−1.00 R vs −0.25 RNot enough data
All markets · Weekly119.1%15.2%−0.73 R vs −0.35 RNot enough data

Data updated November 5, 2026 · code version c2a1683f · Read the methodology. The falling three methods had no occurrence on forex or commodities. 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). On 1-hour and 4-hour forex charts the rising three methods only forms at the weekly open, across the weekend gap, so we do not publish those forex rows. Any other market or timeframe from that list missing from the tables above had no occurrence.

What you often read

“The rising three methods pattern is a reliable bullish continuation signal.”

What our data shows

On 108 daily occurrences, it moved in the expected direction 50.5% of the time, against 53.2% for random bars: no clear edge, since the average excess return is not statistically significant.

What you often read

“The falling three methods pattern is a reliable bearish continuation signal.”

What our data shows

On 82 daily occurrences, it moved in the expected direction 49.4% of the time, against 47.0% 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)
Pattern, market and timeframePatterns tested (2:1 trades)Moved as expected 10 bars laterRandom bars2:1 target hitSame trade, random datesExpectancy (R)
Rising, all markets, daily108 (93)50.5%53.2%29.0%39.1%−0.07
Rising, US stocks, daily89 (78)51.1%54.4%30.8%39.2%−0.01
Rising, crypto, hourly197 (158)45.7%48.6%35.4%32.8%+0.13
Rising, crypto, 4-hour58 (47)43.1%47.5%27.7%32.4%−0.10
Rising, all markets, weekly44 (38)63.6%57.3%44.7%43.0%+0.40
Falling, all markets, daily82 (72)49.4%47.0%29.2%30.0%−0.10
Falling, crypto, hourly251 (209)43.4%50.8%24.4%32.3%−0.24

Read the table in pairs of columns. "Moved as expected" means higher for the rising three methods and lower for the falling three methods. In the first row, 50.5% of rising three methods patterns were followed by a higher price 10 days later, against 53.2% of random days in the same market. The excess return over the rest of the market is −0.13%, with a 95% confidence interval from −2.11% to +2.15%: zero is inside, so there is no clear edge. The important comparison is between the two columns of each pair, not the raw percentage.

What the success rate really means

The 2:1 trade reached its target 29.0% of the time, for an expectancy of −0.07 R per trade before costs. The same entry, stop-loss and target on random dates did better, +0.20 R, because random dates on these markets were followed by a gain more often than not (53.2% were higher 10 days later). The difference is not statistically significant, but the direction is the opposite of what the pattern promises. On 4-hour crypto charts the gap points the same way (27.7% against 32.4%, −0.10 R against +0.10 R), and it is also within the margin of error.

Results by timeframe

Weekly charts gave the best raw numbers, 44.7% of targets hit and +0.40 R, and random weeks in the same market did nearly as well (43.0%, +0.31 R). The first bar after the pattern was even weaker than chance on the daily timeframe: 42.1% of patterns were followed by a higher close the next day, against 50.5% of random days (descriptive figures, not in the tables, not tested for significance). These results agree with academic research: in "Candlestick technical trading strategies: Can they create value for investors?" (Journal of Banking & Finance, 2006), Ben Marshall, Martin Young and Lawrence Rose found that candlestick strategies did not create value on large US stocks. The method is published in our methodology.

Rising three methods case studies

The gallery in the Real examples section shows more cases, and the three examples written up below come from daily charts, two on crypto and one on natural gas futures. Daily crypto charts produced only 15 rising three methods patterns, too few for our bench to interpret, so those examples are illustrations, not evidence.

Example 1: a pattern that worked

From January 6 to 10, 2020, EOS/USDT formed a rising three methods: a white candlestick closing at 2.8506 with a high at 2.8602, three black candlesticks with lower closes whose bodies stayed inside its range, then a white candlestick closing at 2.9866. The second black candle pushed its upper wick to 2.9692, above that high, which our rule allows because it checks bodies, not wicks. The buy stop at 3.0054, the highest point of the five candles, was triggered on January 11, with a stop-loss at 2.65 and a target at 3.7162, reached on January 14. Price was 21.2% higher 10 days after the pattern.

Example 2: a breakout that failed

From August 9 to 13, 2021, BTC/USDT completed the pattern: a white candlestick closing at 46,253.4, three black candlesticks closing lower, then a white one closing at 47,800. The buy stop at 47,886 was triggered on August 14, with a stop-loss at 42,779 and a target at 58,100. Price was 3.5% higher 10 days after the pattern and climbed to 52,920 on September 7, about 1 R in profit, then fell back through the stop-loss on September 20: a full 1 R loss.

Example 3: identifying a failed pattern

On December 12, 2003, natural gas futures completed a rising three methods between 6.15 and 7.55, the level of the buy stop, set by the upper wick of the second black candle. Price fell under 6.15 on December 23 before reaching the entry, so the setup was canceled without a trade, and the contract was 8.6% lower 10 sessions after the pattern. That is the case the conservative entry is designed for.

Several other candlestick patterns describe a pause or a strong push in one direction. Each has its own page with our statistics.

Pros and cons of the rising three methods

Advantages of using this strategy

  • A clear structure: five candles, a defined range, a defined breakout.
  • A clear risk: the stop goes below the low of the pattern.
  • Most setups reach the entry: 13.0% are canceled before it on the daily timeframe.

Potential risks and limitations

  • No edge over random dates on any market with enough data.
  • Very rare: once every 76,402 daily bars and once every 74,525 hourly crypto bars.
  • A wide stop, so trades must be smaller.

Frequently asked questions

How many candles are in the rising three methods?

Five: a large bullish candlestick, three short candlesticks whose bodies stay inside it, and a second bullish candlestick closing above the first close.

Is the rising three methods pattern reliable?

Not on its own in our tests. On 93 closed trades on daily occurrences, the 2:1 trade reached its target 29.0% of the time against 39.1% for the same trade on random dates.

Do the middle candles have to be bearish?

Classic definitions want them mostly bearish, drifting lower. Our rule requires the first and third to be black; the second can be either color. What matters most is that their bodies stay inside the range of the first candlestick.

What timeframe works best for this pattern?

None stood out. Weekly charts had the best raw results (44.7% of 2:1 targets hit, +0.40 R against +0.31 R per trade), but the gap with random weeks in the same market is not statistically significant.

Can traders use it for day trading?

On hourly crypto charts, the 2:1 trade reached its target 35.4% of the time against 32.8% on random dates, with an expectancy of +0.13 R against +0.07 R before costs, a gap that is not statistically significant. Trading fees would take almost all of it. The bearish version lagged chance on the same charts, by a margin that does not pass our statistical test (see the results above).

What is the falling three methods candlestick pattern?

It is the bearish version: in a downtrend, a strong black candle, three short candles drifting higher, their bodies inside it, and another black candle closing below the first close. Nison presents it, like the rising version, as a continuation pattern: here, a sign that the downtrend continues.

How does it differ from three white soldiers?

The three white soldiers are three strong white candlesticks in a row, read as a reversal or a strong advance. The rising three methods has a pause in the middle. On daily charts, the three white soldiers trade reached its 2:1 target in 34.4% of cases against 33.3% on random dates, also with no clear edge.

Summary of key points

  • The rising three methods is a five-candle bullish continuation pattern; the falling three methods is its bearish mirror.
  • On 108 daily occurrences, 50.5% of rising three methods patterns were higher 10 days later, against 53.2% of random days.
  • The 2:1 trade reached its target 29.0% of the time against 39.1% on random dates.
  • Both candlestick patterns are rare, and neither showed an edge that survives our statistical correction.

Final trading tips

If you trade the three methods, treat them as a location for a trade in the direction of the trend, not as a reason for one. Wait for the fifth candlestick to close, define the stop beyond the pattern before entry, size the trade on that distance and keep the risk per trade modest.

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 financial advice: every trade carries a risk of loss, and past results on our bench do not guarantee 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