CandlestickBearish

Identical Three Crows Candlestick Pattern: How to Identify, Trade and Test It

Three long black candles, each opening exactly at the previous close, with no bounce at any open. This guide covers the rule, the short setup and how it compared with random bars.

· Founder of PatternsWizard
Updated Statistics updated 16 min read
Identical three crows pattern
At a glance: what textbooks say, what we measured
Direction
Bearish
Occurrences tested
420 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · +0.28% vs the market, 10 bars
Where it did best
Crypto, 1-hour: +0.12 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 identical three crows candlestick pattern?
  2. How to identify the identical three crows
  3. The psychology behind the pattern
  4. Identical three crows vs. three black crows
  5. Real examples
  6. How to trade the identical three crows
  7. Confirmation and technical indicators
  8. Reliability of the identical three crows
  9. Real trading examples
  10. Limitations and common mistakes
  11. Stock screeners and tools to scan for the pattern
  12. Tips for traders
  13. Frequently asked questions
  14. Summary of key points
  15. Final thoughts on risk management

The identical three crows candlestick pattern is a variant of the three black crows with a stricter rule on the opens: three long black (bearish) candles after an uptrend, each closing lower, where each candle opens exactly at the close of the one before. There is no bounce at the open of any session. It is traditionally read as a strong bearish reversal warning: sellers take control and keep it for three sessions in a row.

This guide covers the definition, how to identify the identical three crows on a candlestick chart, how to use it in a trading strategy, and how it differs from the standard three black crows pattern. It also shows what actually happened next. Our test bench detected 420 identical three crows on daily charts and 4,693 on hourly charts across stocks, crypto, forex, ETFs, indices and commodities, and compared each one with random bars on the same assets.

What is the identical three crows candlestick pattern?

The identical three crows is a three-candle bearish reversal pattern. It forms at the top of an uptrend, when three strong down sessions in a row erase part of the rise. It belongs to the family of the three black crows, and the word "identical" refers to the open of each candle: it sits at the same level as the previous close, so the three bodies follow each other like steps on a staircase.

Like the three black crows, the identical three crows is a bearish reversal candlestick pattern in technical analysis. Classical analysis reads it as a strong bearish signal, because each new candle starts at the exact point where the last one ended and sellers never give ground.

Definition used on our test bench

Our bench uses a rule that a computer can apply without judgment: after an uptrend (the close before the formation is at least one average true range (ATR) above the close 10 bars earlier, and in the upper half of the 40 previous closes), three long black candles, each closing lower, with the open of the second and third candles equal to the previous close. "Long" means a body more than 1.3 times the average body of the 10 prior candles and at least 0.6 times the largest of them (1.6 times the average on a textbook pattern). "Equal" means within one twentieth of the average high-to-low range of the five prior candles. Our rule differs from the TA-Lib library: on the bars compared, we find only 14% of the occurrences that library flags, so its counts and ours are not interchangeable.

Visual representation of the pattern

The chart below is not drawn by hand. It is the median shape of the identical three crows our bench detected on daily charts across all markets, with the faded candles showing the rise before the pattern, and the lines of the position we test: entry below the low of the third crow, stop loss above the high of the pattern, target at twice the risk.

TPSLEntryBearish
Bearish setup on the median shape of 140 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

How to identify the identical three crows

To identify the pattern on a stock chart or any other market, check five key points in order.

123
  1. Black candle 1long, closes lower
  2. Black candle 2opens at the previous close
  3. Black candle 3opens at the previous close
Median shape of all 140 usable daily occurrences from all markets, found by our test bench.

Step 1: confirm the preceding uptrend

The identical three crows is a reversal pattern, so there must be an uptrend to reverse. The test on our bench: the last close before the first crow is at least one ATR above the close 10 bars earlier, and in the upper half of the 40 previous closes. Three black candles in a downtrend are a continuation of the bearish trend, not a reversal signal.

Step 2: three consecutive long black candles

Each of the three candles is bearish (close below open) and has a long real body compared with recent sessions. Small bodies mean hesitation, not the strong selling the pattern describes. On most platforms, a black candle is drawn in red.

Step 3: lower closes

Each candle closes below the close of the one before. Three lower closes in a row show sellers pushing price down session after session.

Step 4: each open equals the previous close

This is the rule that makes the crows identical. The second candle opens at the close of the first, and the third opens at the close of the second. In the standard three black crows, each candle may open anywhere inside the previous candle's body, which leaves room for a small rebound at the open. In the identical version, buyers get no rebound at all.

Step 5: wait for the close of the third candle

The pattern only exists at the close of the third candle. Intraday, a third black candle can still recover into the close, and the signal disappears.

The psychology behind the pattern

The story is one of persistent selling. After a rise, the first crow shows sellers taking control for a full session. On the next session, buyers do not even manage to lift price at the open: the session starts where the last one ended, and sellers push it lower again. The third session repeats the same sequence. Each session opens at the previous close, so there is no overnight hope, no gap up, no bounce: the selling simply continues, and bullish momentum fades.

That is why it is read as a stronger warning than the three black crows. The reading is plausible, but it describes three candles. Whether they change the trend is a question for data, and we come back to it in the reliability section.

Identical three crows vs. three black crows

The three black crows candlestick pattern is a bearish reversal pattern, and the identical three crows is a variant with a stricter rule on the opens. If you already trade the three black crows, the identical version will look familiar. The two share the same idea: three long bearish candles after an uptrend, each closing lower. The difference is the open.

  • Three black crows pattern: each candle opens inside the body of the previous one, and the TA-Lib definition adds very short lower shadows (closes near the low).
  • Identical three crows pattern: each candle opens at the previous close, with no rule on shadows in our bench.

Because the two rules differ on two points, stricter opens but no rule on shadows, the identical pattern is not a subset of the three black crows in our data. On daily charts our bench finds slightly fewer of them: 420 identical three crows (one every 20,186 bars) against 493 three black crows (one every 17,197 bars). Across all timeframes it finds far more (6,340 against 1,414), mostly on hourly and 4-hour charts, where markets that trade around the clock open almost exactly at the prior close. The results differed: the identical version reached its 2:1 target 23.9% of the time against 22.1% for the three black crows. Against their own random benchmarks (21.7% and 26.0%), neither average result per trade (−0.03 R against −0.13 R, −0.22 R against −0.14 R) differed by a margin our tests count as an edge.

Daily charts, all marketsPatterns tested (2:1 trades)Lower 10 bars laterRandom bars2:1 target hitSame trade, random datesExpectancy
Identical three crows420 (351)52.4%49.0%23.9%21.7%−0.03 R
Three black crows493 (448)43.9%45.6%22.1%26.0%−0.22 R

Identical three crows vs. three white soldiers

The three white soldiers is the bullish mirror image: three long white candles after a downtrend, each closing higher. In classical candlestick references, black crows and three white soldiers are taught together, one as a bearish signal and the other as a bullish signal. There is no common "identical three soldiers" pattern in the classic references.

Which one should traders use?

In our data, neither the three black crows nor the identical variant gave a trading edge on daily charts. The identical three crows candlestick pattern is useful mainly as a clear, strict definition: it removes the judgment call on where each candle opens.

Identical three crows vs. bearish engulfing

The bearish engulfing needs only two candles: a black body that covers the previous white body. It forms far more often, and it gives a closer stop. The identical three crows needs three sessions of selling, so by the time it is complete, a large part of the move may already be done.

Related crow patterns

The two crows and the upside gap two crows are smaller cousins: a gap up followed by black candles that start to close the gap. The evening star is another common bearish reversal pattern at the top of an uptrend.

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, Most recent the latest detections among the assets the gallery draws from, Typical a random draw. Identical three crows pattern: on US stocks, ETFs and 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 22 cards: 21 with a shape that does not read as the definition on this page, 1 with an overnight jump that may be a switch between two futures contracts. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Market
Examples
Crypto overallAcross 3,207 identical three crows occurrences on 1-hour charts, price moved the expected way 10 bars later 51.0% of the time, against 50.7% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern25.6518.96+10 barsTPSLEntry2021-04
Worst tradeAVAX April 25, 20211-hour chart12.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern2,5251,972+10 barsTPSLEntry2021-04
Worst tradeETH April 25, 20211-hour chart11.5% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern82,85079,803+10 barsTPSLEntry2026-05
Most recentBTC May 5, 20261-hour chart1.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern76.2172.80+10 barsTPSLEntry2024-07
TypicalLTC July 2, 20241-hour chart1.9% against the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern3.552.73+10 barsTPSLEntry2025-02
TypicalFIL February 4, 20251-hour chart4.1% against the expected direction after 10 bars2:1 trade: not triggered
Examples
Forex overallAcross 1,486 identical three crows occurrences on 1-hour charts, price moved the expected way 10 bars later 50.2% of the time, against 49.2% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern90.3188.89+10 barsTPSLEntry2017-09
Best tradeAUD/JPY September 21, 20171-hour chart1.1% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern0.75690.7472+10 barsTPSLEntry2022-04
Worst tradeCAD/CHF April 27, 20221-hour chart0.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern113.4111.8+10 barsTPSLEntry2026-04
Most recentAUD/JPY April 14, 20261-hour chart0.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.95070.9474+10 barsTPSLEntry2016-06
TypicalAUD/CAD June 6, 20161-hour chart0.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.74510.7364+10 barsTPSLEntry2012-06
TypicalNZD/CHF June 11, 20121-hour chart0.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern1.561.54+10 barsTPSLEntry2022-112022-11
TypicalEUR/AUD November 23, 20221-hour chart0.3% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R

Real occurrences 1 of the 190 occurrences on US stocks (daily charts)

US stocks overallAcross 190 daily identical three crows occurrences, price moved the expected way 10 bars later 44.7% of the time, against 45.5% for random bars. The average excess return does not pass our significance test.No clear edgeThe example below is a single case.
◂ Pattern35.2922.20+10 barsTPSLEntry2013-042013-07
META May 7, 2013Daily chart4.6% in the expected direction after 10 bars2:1 trade: stopped out, −3.01 R
Examples
Indices overallAcross 36 daily identical three crows occurrences, price moved the expected way 10 bars later 50.0% of the time, against 41.9% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern7,1974,874+10 barsTPSLEntry2020-01
Best tradeS&P/ASX 200 February 26, 2020Daily chart14.6% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern7,6366,562+10 barsTPSLEntry2019-11
Worst tradeFTSE 100 December 3, 2019Daily chart5.1% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern8,4056,937+10 barsTPSLEntry2024-07
Most recentFTSE 100 August 5, 2024Daily chart4.4% against the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern6,1994,863+10 barsTPSLEntry2020-05
Most recentS&P/ASX 200 June 15, 2020Daily chart1.7% against the expected direction after 10 bars2:1 trade: not triggered
◂ Pattern88.8376.00+10 barsTPSLEntry1970-091970-12
TypicalS&P 500 October 12, 1970Daily chart1.0% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern1,051.0969.0+10 barsTPSLEntry1998-03
TypicalS&P 500 April 27, 1998Daily chart1.8% against the expected direction after 10 bars2:1 trade: not triggered

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

ETFs overallAcross 2 daily identical three crows occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe example below is a single case.
◂ Pattern57.5747.51+10 barsTPSLEntry2024-08
KRE September 25, 2024Daily chart1.6% against 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 identical three crows occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe example below is a single case.
◂ Pattern3.272.58+10 barsTPSLEntry2012-08
Heating oil futures September 19, 2012Daily chart0.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

How to trade the identical three crows

The classic trading strategy sells a break below the low of the third crow, with a stop above the high of the pattern and a target set as a multiple of the risk. This is the position our bench simulates on every occurrence.

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 all 140 usable daily occurrences from all markets.

Entry point

The conservative entry point is a sell stop just below the low of the third candle. In our tests, the entry was triggered 87.1% of the time on daily charts; in 6.7% of cases price broke above the high of the pattern first and the setup was canceled. The remaining setups touched neither level within the 20 bars our test allows. The aggressive entry sells at the close of the third candle, accepting that the next day can open with a bounce. In day trading on hourly charts, the same logic applies to each bar.

Stop-loss placement

The natural stop sits above the high of the pattern, which is the high of the first crow unless a later wick went above it. If price trades back above that level, the three sessions of selling have been fully erased. This stop is wide: on daily charts, the median pattern spans 9.94% of price, or 3.31 times the average true range (ATR). Size the position on the distance from entry to stop.

Profit target

Our bench sets the target at twice the risk (2:1). Because the stop is wide, the target is far: on daily charts, trades that reached it took a median of 31 bars, and trades that were stopped took a median of 22 bars. Support levels below price, such as a prior swing low or a rising moving average, are other reasonable targets, and taking partial profit at the first support level is one option.

Risk management

Confirmation and technical indicators

The pattern alone is a thin reason to sell. Confirmation can come from other technical indicators and from the market context.

Volume

The classic reading wants rising volume on the three crows, as a sign that selling is real. On hourly crypto charts (forex data has no volume), our data gives a mixed answer: identical three crows with volume above 1.5 times the average reached the 2:1 target less often, 24.0% of the time against 25.7% on normal volume, but their average result per trade was better, +0.22 R against −0.02 R. This breakdown is descriptive and not corrected for multiple testing.

Moving averages

We also split hourly patterns by the 200-period moving average. Below it (price already in a longer-term downtrend), the 2:1 target was hit 25.8% of the time, with an expectancy of +0.14 R; above it, 21.3%, with −0.03 R. The difference is small and descriptive.

RSI and momentum

One filter is to take the pattern only when the RSI, a momentum indicator, has been overbought before the first crow. We have not tested it; if you use it, test it on your own market first.

Support and resistance levels

Classical analysis gives more weight to a pattern that forms just below a resistance level, or that breaks a clear support level, than to one in the middle of a range. We have not tested this filter. Mark the key levels on the chart before you read the candles.

Reliability of the identical three crows

The identical three crows is not a reliable bearish signal on its own: on no market or timeframe with enough data did its excess return over the rest of the market survive our correction for multiple testing. The closest, on 4-hour charts with crypto and forex combined (+0.32%), passes only a simple test and is rated promising. On daily US stocks it fell slightly less often than random bars, by a gap in average excess return that is within the margin of error. Here are the numbers.

52.4%vs 49.0% at random

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

Measured on 420 daily identical three crows occurrences across 318 assets. Random bars on the same assets are the honest baseline.

No clear edge

Identical three crows 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 laterIdentical three crowsRandom bars
  • All markets
    All markets, Identical three crows: 52.4%
    All markets, Random bars: 49.0%
  • Crypto
    Crypto, Identical three crows: 62.4%
    Crypto, Random bars: 55.5%
  • US stocks
    US stocks, Identical three crows: 44.7%
    US stocks, Random bars: 45.5%
  • Forex
    Forex, Identical three crows: 59.2%
    Forex, Random bars: 49.4%
  • Indices
    Indices, Identical three crows: 50.0%
    Indices, Random bars: 41.9%
2:1 trade hit its targetIdentical three crows tradeSame trade, random dates
  • All markets
    All markets, Identical three crows trade: 23.9%
    All markets, Same trade, random dates: 21.7%
  • Crypto
    Crypto, Identical three crows trade: 23.8%
    Crypto, Same trade, random dates: 20.6%
  • US stocks
    US stocks, Identical three crows trade: 22.0%
    US stocks, Same trade, random dates: 20.7%
  • Forex
    Forex, Identical three crows trade: 31.8%
    Forex, Same trade, random dates: 24.6%
  • Indices
    Indices, Identical three crows trade: 25.8%
    Indices, Same trade, random dates: 27.2%
All statistics

Full results for the identical three crows 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

Identical three crows: 420 occurrences tested

Bearish pattern · All markets · Daily · 318 assets · 1970-10 to 2026-10

Moved the expected way after 10 bars
52.4%
vs 49.0% on random bars
Excess return vs its market, 10 bars
+0.28%
95% interval −0.59% to +1.03%
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
23.9%
vs 21.7% for the same trade on random dates
Average result per trade
−0.03 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 2 · on 366 triggered entries
Stop order beyond the pattern's extreme. 15 of these entries are not among the 351 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
31 days · middle half 18 to 50 · on 84 trades that hit it
Time to the stop, when hit
22 days · middle half 10 to 43 · on 207 trades that hit it
Time in the trade, all exits
32 days · middle half 14 to 72 · on 351 trades

Size and trade path

Pattern range, high to low
9.9% · middle half 5.0% to 23.7% · on 420 occurrences
Range vs average bar (ATR)
3.31× · middle half 2.88× to 3.88× · on 420 occurrences
Best open profit during the trade
0.97 R · middle half 0.40 R to 1.94 R · on 351 trades
Stopped trades that were first up 1 R
18.4% · on 207 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
87.1% · on 420 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: three long black candles closing lower, each opening at the previous 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 (19 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-hour3,20751.0%50.7%−0.03%No clear edge
Forex · 1-hour1,48650.2%49.2%−0.01%No clear edge
All markets · 1-hour4,69350.7%50.2%−0.02%No clear edge
Crypto · 4-hour89151.3%51.8%+0.40%No clear edge
Forex · 4-hour24349.8%49.3%+0.04%No clear edge
All markets · 4-hour1,13451.0%51.3%+0.32%Promising
Crypto · Daily14162.4%55.5%+1.61%No clear edge
US stocks · Daily19044.7%45.5%−0.67%No clear edge
ETFs · Daily20.0%44.5%−1.90%Not enough data
Indices · Daily3650.0%41.9%+0.05%No clear edge
Forex · Daily4959.2%49.4%+0.38%No clear edge
Commodities · Daily20.0%46.3%+0.49%Not enough data
All markets · Daily42052.4%49.0%+0.28%No clear edge
Crypto · Weekly10.0%59.9%−22.63%Not enough data
US stocks · Weekly7636.5%41.9%−1.56%No clear edge
Indices · Weekly1338.5%36.4%+0.67%Not enough data
Forex · Weekly20.0%45.9%−2.50%Not enough data
Commodities · Weekly1100.0%55.1%+12.11%Not enough data
All markets · Weekly9336.3%41.6%−1.34%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-hour2,72124.7%24.0%+0.12 R vs 0.00 RNo clear edge
Forex · 1-hour1,31322.7%23.5%−0.01 R vs −0.04 RNo clear edge
All markets · 1-hour4,03424.1%23.9%+0.07 R vs −0.01 RNo clear edge
Crypto · 4-hour76423.8%22.1%+0.12 R vs −0.02 RNo clear edge
Forex · 4-hour21823.9%25.6%0.00 R vs +0.01 RNo clear edge
All markets · 4-hour98223.8%22.9%+0.09 R vs −0.01 RNo clear edge
Crypto · Daily10523.8%20.6%+0.30 R vs +0.03 RNo clear edge
US stocks · Daily16822.0%20.7%−0.24 R vs −0.25 RNo clear edge
ETFs · Daily10.0%0.0%−1.00 R vs −1.00 RNot enough data
Indices · Daily3125.8%27.2%−0.11 R vs −0.15 RNo clear edge
Forex · Daily4431.8%24.6%+0.14 R vs −0.02 RNo clear edge
Commodities · Daily20.0%12.5%−1.08 R vs −0.67 RNot enough data
All markets · Daily35123.9%21.7%−0.03 R vs −0.13 RNo clear edge
Crypto · Weekly0n/an/an/a vs n/aNot enough data
US stocks · Weekly5317.0%15.1%−0.28 R vs −0.30 RNo clear edge
Indices · Weekly922.2%18.5%−0.33 R vs −0.28 RNot enough data
Forex · Weekly10.0%25.0%−1.00 R vs +0.35 RNot enough data
Commodities · Weekly10.0%0.0%−0.25 R vs −0.48 RNot enough data
All markets · Weekly6417.2%15.5%−0.30 R vs −0.29 RNo clear edge

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

What you often read

“The identical three crows candlestick pattern is a reliable bearish reversal signal.”

What our data shows

On 420 daily occurrences, it moved in the expected direction 52.4% of the time, against 49.0% 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)
Market and timeframePatterns tested (2:1 trades)Lower 10 bars laterRandom bars2:1 target hitSame trade, random datesExpectancy
All markets, daily420 (351)52.4%49.0%23.9%21.7%−0.03 R
US stocks, daily190 (168)44.7%45.5%22.0%20.7%−0.24 R
Crypto, daily141 (105)62.4%55.5%23.8%20.6%+0.30 R
Crypto, hourly3,207 (2,721)51.0%50.7%24.7%24.0%+0.12 R
Crypto, 4-hour891 (764)51.3%51.8%23.8%22.1%+0.12 R
Forex, hourly1,486 (1,313)50.2%49.2%22.7%23.5%−0.01 R
All markets, weekly93 (64)36.3%41.6%17.2%15.5%−0.30 R

How to read the table

Read the columns in pairs. On daily charts, 52.4% of identical three crows were followed by a lower price 10 bars later, against 49.0% of random bars on the same assets. The excess return over the rest of the market after 10 bars is +0.28%, with a 95% confidence interval from −0.59% to +1.03%. Zero is inside the interval: no clear edge.

The trade columns compare the 2:1 short with the same entry, stop and target on random dates. On daily charts, the pattern reached its target 23.9% of the time against 21.7% for random dates, with an expectancy of −0.03 R per trade before costs, against −0.13 R. Shorting after the pattern did slightly better than shorting at random, by a gap within the margin of error.

Stock market: a lean in the wrong direction, within the margin of error

On US stocks (190 daily patterns on 166 companies), only 44.7% were followed by a lower price 10 bars later, against 45.5% for random bars. The excess return was −0.67% (95% interval −2.06% to +0.40%); that lean is within the margin of error, and it points against the bearish reading, not for it. For stock traders, the pattern was not a reason to sell.

The next bar often bounces

On hourly charts, the very next bar after the pattern closed lower only 43.9% of the time, against 48.9% for random bars. After 10 bars, the gap was gone (50.7% against 50.2%). Three strong down bars can be followed by a small rebound, which is one more reason to wait for a break of the low rather than sell the close.

Does it work in crypto and forex?

Not on our bench: neither market showed an edge. On hourly crypto (3,207 patterns on 517 coins, 2,721 trades), the 2:1 short reached its target 24.7% of the time against 24.0% for random dates, with an expectancy of +0.12 R before costs, but its average result per trade does not pass our statistical test, and fees and slippage could take much of it. On hourly forex (1,486 patterns on 25 pairs, 1,313 trades), the expectancy was −0.01 R. The small commodity and per-market weekly samples are not quoted in this text: they appear with their size in the All measurements table of the statistics section, and samples under 30 trades are not interpreted.

How often does it occur?

On daily charts, one identical three crows every 20,186 bars across all markets, but only one every 38,523 bars on US stocks. On hourly crypto, one every 4,578 bars. With our strict definition, a watchlist of 20 stocks gives about one every several years of daily bars.

The method behind every figure is published in our methodology.

Real trading examples

The gallery in the Real examples section shows real identical three crows, picked by our bench (best and worst results, textbook shapes, most recent cases and random draws, where a market has them), with their actual outcome. Two daily crypto cases follow in detail: one stopped out, one that reached its target.

XLM/USDT, September 2026: a clean-looking pattern that failed

From September 8 to 10, 2026, XLM printed three long black candles, closing at 0.1877, 0.1812 and 0.1746, each session opening at the previous close. The sell stop below the third crow (0.1741) was triggered on September 11, with a stop at 0.1947 and a 2:1 target at 0.1329. Price reversed and hit the stop on September 14. Ten bars after the pattern, XLM was 12.9% above the last crow.

ADA/USDT, April 2023: a slow target

From April 19 to 21, 2023, ADA printed identical three crows, with a high at 0.4435 and a low at 0.3789. The sell stop was triggered on April 25, with a 2:1 target at 0.2497. Ten bars after the pattern, ADA was still 1.2% above the last crow, but price never reached the stop and hit the target on June 10, 2023.

Limitations and common mistakes

  • Selling at the close of the third crow: the next bar can bounce, and the stop is far away.
  • Ignoring the trend: three black candles in a downtrend are not a reversal pattern.
  • Using a tight stop: the pattern spans more than three average ranges, so a stop inside it is easily hit by noise.
  • Trusting the name: "identical" sounds precise, but in our data it showed no confirmed edge over random bars, no more than the standard three black crows.
  • Forgetting costs: on hourly charts, our figures are before fees and slippage, which can erase a small positive expectancy.

Stock screeners and tools to scan for the pattern

Stock screeners and charting platforms can flag the identical three crows. The open-source TA-Lib library provides a CDLIDENTICAL3CROWS function; several free web screeners list daily matches on stocks, and some platforms send real-time signals. Check the tolerance your tool uses for "identical" opens: on liquid stocks and coins, today's open sits very near yesterday's close, so loose settings flag far more patterns than strict ones.

Tips for traders

  • Treat the pattern as a warning to protect long positions, not as a stand-alone sell signal.
  • Use the trend as the first filter: the pattern only means something after a clear rise.
  • Keep a trading journal: note every pattern you trade, the stop, the exit and the market context, to see over time what works for your own trading style.
  • Look at the context: trend, support and resistance levels, volume and momentum.
  • Wait for the break of the low of the third crow before entering.
  • Test any rule on your own market and timeframe before risking your account.

Frequently asked questions

Is the identical three crows bullish or bearish?

Bearish. The identical three crows is a bearish reversal pattern that appears after an uptrend. In our data, its average excess return over the rest of the market did not survive our correction for multiple testing on any market or timeframe with enough data; only 4-hour charts, crypto and forex combined, pass a simple test (promising).

How many candles make up the pattern?

Three long black candles, each opening at the previous close and closing lower.

What should I do if the pattern fails?

Exit at the stop above the high of the pattern. A close back above the first crow means the selling has been fully absorbed.

Can I use it for intraday trading?

Yes, it forms on hourly charts, about once every 3,591 bars across all markets. On hourly crypto and forex, the results were close to random bars, and small enough that trading costs matter.

Is it the same as three black crows?

It is a variant with a stricter rule on the open of each candle. Both were tested on our bench, and neither showed a confirmed edge.

Should beginners rely on this signal?

No. Use it as one input with trend, support levels and risk management, and test it on your own market before risking money.

Summary of key points

  • The identical three crows is three long black candles after an uptrend, each opening at the previous close and closing lower.
  • It is a variant of the three black crows, stricter on the opens but with no rule on shadows in our bench, read as a bearish reversal warning.
  • On 420 daily occurrences, 52.4% were lower 10 bars later, against 49.0% for random bars on the same assets.
  • The 2:1 short reached its target 23.9% of the time, against 21.7% for the same trade on random dates, with an expectancy of −0.03 R before costs.
  • The stop is wide (median pattern 3.31 ATR on daily charts), so position sizing matters more than the signal.

Final thoughts on risk management

If you trade the identical three crows, treat it as a warning, not a sell order. Wait for a break of the low, place the stop above the high of the pattern, size the position on that distance, and keep the risk per trade small. The edge, if any, has to come from what you combine it with.

This page is educational and is not investment advice. Trading stocks, crypto, forex or any leveraged product involves a risk of loss, and past statistics do not guarantee future results.

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 applies the same published rules to 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