Pattern direction

CandlestickBullish separating linesBearish separating lines

Separating Lines Candlestick Pattern: Rules, Examples and Tested Results

Two candles that open at the same price and move apart, the second one with the trend. This guide covers both versions, the trade we test and how they did against random days.

· Founder of PatternsWizard
Updated Statistics updated 9 min read
Bullish separating lines patternBearish separating lines pattern

How we tested this pattern

Sample
388 occurrences on 5 markets (crypto, 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.bullish separating lines pattern: In an uptrend: a black candle with a real body (not short), then a long white candle that opens at about the same price as the black candle and has a very short lower shadow, or none. 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.bearish separating lines pattern: In a downtrend: a white candle with a real body (not short), then a long black candle that opens at about the same price as the white candle and has a very short upper shadow, or none. 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.

Every pattern's results on one sheet

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At a glance: what textbooks say, what we measured
Pattern
Bullish separating lines
Occurrences tested
240 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · +0.01% vs the market, 10 bars
Verdict
10-bar move: No clear edge2:1 trade: No clear edge
Pattern
Bearish separating lines
Occurrences tested
148 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · +0.41% vs the market, 10 bars
Its best market and timeframe, still negative
US stocks, daily: −0.11 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 separating lines pattern?
  2. How to identify the pattern
  3. The psychology behind the pattern
  4. Key characteristics and formation rules
  5. Real examples
  6. How to trade this type of setup
  7. Combining with technical indicators
  8. Important factors influencing pattern strength
  9. Common mistakes when trading separating lines
  10. Separating lines vs engulfing pattern: key differences
  11. Pros and cons of using this continuation pattern
  12. How reliable is the separating lines pattern?
  13. Cases from our test bench
  14. FAQ
  15. Summary

The separating lines candlestick pattern is a two-candle continuation pattern. In a trend, one candle moves against it, then the next one opens at the same opening price and moves away in the direction of the trend. The two candles separate from a common open, hence the name. We tested it on full price history: 240 bullish and 148 bearish occurrences on daily charts, compared with random days on the same assets. This guide gives the definition, the rules, the techniques traders use and what the data says.

What is the separating lines pattern?

Separating lines signal trend continuation, not trend reversals. One version forms in an uptrend and is bullish, the other in a downward trend and is bearish. In both, the first candle looks like the start of a pullback, and the next one cancels it in a single session by starting where the first one started and moving the other way. The setup consists of two candles of opposite colors with the same open, and it is subtler to read than it looks.

How to identify the pattern

123
  1. Black candlein an uptrend
  2. Long white candleopens at about the same price as the black one
  3. Opens at or near its low
Median shape of all 231 usable daily occurrences from all markets, found by our test bench.
123
  1. White candlein a downtrend
  2. Opens at or near its high
  3. Long black candleopens at about the same price as the white one
Median shape of all 140 usable daily occurrences from all markets, found by our test bench.

Bullish separating lines structure

  • An uptrend before the setup.
  • A black (red) candle is followed, at the opening of the next session, by a large white (green) candle.
  • Its opening price equals the open of the black one and sits at or very near its low (our bench allows a lower shadow of up to a tenth of the average candle range), and it closes higher.
TPSLEntryBullish
Bullish setup on the median shape of 231 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

Bearish separating lines structure

  • A downtrend before the setup.
  • A white candle followed by a long black candle that opens at the open of the white one, at or very near its high (our bench allows an upper shadow of up to a tenth of the average candle range), and closes lower.
TPSLEntryBearish
Bearish setup on the median shape of 140 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

These charts are not drawn by hand: each one is the median shape of the clean occurrences our bench detected, with the levels of the trading setup we test.

The psychology behind the pattern

In the uptrend case, the red candle shows sellers winning a session. The next morning, the stock does not start at the previous day's closing price: it jumps back to the previous open, and buyers push it higher all day. The pullback is erased. The downtrend case, the bearish separating lines, is the mirror: in the textbook case, the trend continued after one day of resistance. That is the textbook reading; whether it predicts the next move is a question for the data below.

Key characteristics and formation rules

Three conditions decide whether the setup is valid. First, the second candle starts at the same price as the first, not at the previous day's closing price: that gap is what gives the formation its meaning. Next, it starts at or very near its extreme, with a very short shadow on that side or none, like a belt hold. Third, it is large compared with recent sessions.

This has a consequence for crypto and forex trading. In a market that trades without a break, each candle starts almost exactly at the previous candle's closing price, so the two opening prices can only match if the first candle has almost no body (open near the closing price). Our bench still finds the setup there, as would trading tools that use the same rules, but only about once every 489,378 hourly bars for the bearish version on crypto, and once every 978,757 hourly bars for the bullish one on crypto: its rule also asks the first candle for a real body, at least the average of the 10 prior candles, which rarely fits a second candle that starts back at the first open. On hourly forex charts it found neither version.

Real examples

Real occurrences from our test bench, each on its market's main timeframe. US stock examples come from liquid assets only (the most traded stocks). Best and Worst are the best and worst 2:1 trade results, Textbook the cleanest shapes (chosen on geometry alone, never on the outcome), Most recent the latest detections among the assets the gallery draws from, Typical a random draw. Shaded area: the pattern. Dashed lines: entry, stop loss (SL) and 2:1 target (TP) of the tested trade. Dotted line: 10 bars after the signal. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 4 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.

Examples
US stocks overallAcross 203 daily bullish separating lines occurrences, price moved the expected way 10 bars later 55.0% of the time, against 54.6% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern19.8913.08+10 barsTPSLEntry2016-112017-02
Best tradeBAC December 5, 2016Daily chart2.9% in the expected direction after 10 bars2:1 trade: target hit, +2.10 R
◂ Pattern51.0628.45+10 barsTPSLEntry1999-11
Best tradeAMGN December 28, 1999Daily chart15.2% in the expected direction after 10 bars2:1 trade: target hit, +2.05 R
◂ Pattern142.9101.8+10 barsTPSLEntry2019-102020-01
Worst tradeCAT November 1, 2019Daily chart0.6% in the expected direction after 10 bars2:1 trade: stopped out, −1.08 R
◂ Pattern18.4815.85+10 barsTPSLEntry2013-11
Worst tradeAAPL December 3, 2013Daily chart2.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.07 R
◂ Pattern356.4287.2+10 barsTPSLEntry2026-01
Most recentJPM February 6, 2026Daily chart7.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern138.4110.5+10 barsTPSLEntry2024-10
Most recentMS November 21, 2024Daily chart3.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.07 R
◂ Pattern13.6710.43+10 barsTPSLEntry2014-102014-12
TypicalMRVL October 31, 2014Daily chart2.2% against the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern84.8040.90+10 barsTPSLEntry2024-102024-12
TypicalPLTR November 15, 2024Daily chart0.9% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern9.347.61+10 barsTPSLEntry1989-03
TypicalBA April 14, 1989Daily chart6.1% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
Examples
US stocks overallAcross 125 daily bearish separating lines occurrences, price moved the expected way 10 bars later 43.2% of the time, against 45.6% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern108.1485.70+10 barsTPSLEntry2019-07
Worst tradeIBM August 14, 2019Daily chart1.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.31 R
◂ Pattern141.8117.8+10 barsTPSLEntry2019-07
Worst tradeDIS August 14, 2019Daily chart2.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.04 R
◂ Pattern13.096.30+10 barsTPSLEntry2002-082002-12
TextbookMCD September 17, 2002Daily chart3.3% in the expected direction after 10 bars2:1 trade: closed at +1.35 R, 100 bars after entry, past this chart
◂ Pattern53.8946.40+10 barsTPSLEntry2012-102013-01
TextbookXOM November 7, 2012Daily chart0.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern90.1550.89+10 barsTPSLEntry2022-08
Most recentAMD September 29, 2022Daily chart8.1% in the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern51.2942.40+10 barsTPSLEntry2021-10
Most recentKO November 30, 2021Daily chart10.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern35.6511.14+10 barsTPSLEntry2007-12
TypicalCIEN January 23, 2008Daily chart12.1% against the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern146.2109.3+10 barsTPSLEntry2000-10
TypicalGE November 22, 2000Daily chart10.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern6.295.41+10 barsTPSLEntry1995-01
TypicalCAT March 1, 1995Daily chart1.0% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

How to trade this type of setup

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 all 231 usable daily occurrences 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 all 140 usable daily occurrences from all markets.

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.

◂ Pattern28.9423.77+10 barsTPSLEntry2003-09
TextbookEWJ October 1, 2003Daily chart4.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 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.

◂ Pattern13.096.30+10 barsTPSLEntry2002-082002-12
TextbookMCD September 17, 2002Daily chart3.3% in the expected direction after 10 bars2:1 trade: closed at +1.35 R, 100 bars after entry, past this chart

Setting entry points and stop-loss levels

Defining profit targets

Our bench sets the target at twice the risk; the next support or resistance level is an alternative we did not test. In our data, winning bullish positions on daily charts took a median of 18 days to reach the 2:1 target, and losing ones were stopped out after a median of 8 days.

Combining with technical indicators

A trend filter such as the 200-day moving average, or a momentum indicator such as the RSI or MACD, can be added as confirmation before taking the signal. We tested the moving average filter (next section). We have not tested RSI or MACD filters.

Important factors influencing pattern strength

The market context seemed to change the results, on small samples. On daily stock charts, long setups below the 200-day average reached the 2:1 target in 46.9% of 32 trades (expectancy +0.36 R), against 41.5% above it (+0.26 R). Bearish setups did worse above the average (20.8% of targets hit, on only 24 trades, below our floor of 30) than below it (24.7%). These results are descriptive and not corrected for the number of tests we run. Among the other factors, high volume (above 1.5 times the average) did not help: 32.7% of long targets hit, against 45.6% with normal activity.

Common mistakes when trading separating lines

  • Accepting a second candle that starts at the previous close when the first candle has a real body: without the jump back to the first open, it is not the setup. In crypto and forex, the previous close can only match the first open when the first body is almost empty, as explained above.
  • Ignoring market conditions: without a trend there is nothing to continue.
  • Treating it as a strong trading signal. In our tests it did not beat chance by a measurable margin.
  • Reading the crypto version like the stock market version, where the open can differ from the previous close.

Separating lines vs engulfing pattern: key differences

Both candlestick patterns use two candles of opposite colors, but they say different things. In an engulfing pattern, the second body covers the first one and the signal is read as a reversal. Here, the bodies do not overlap: they start from the same price and move apart, and the signal is read as continuation. On daily charts, the bullish engulfing reached its 2:1 target 36.9% of the time against 35.7% on random dates; the bullish setup studied here, 42.0% against 37.8%.

Pros and cons of using this continuation pattern

  • Pro: clear rules, with a defined stop on the other side of the setup, so a trader can quickly apply it.
  • Pro: the bullish version was found on every market we tested except forex, about once every 32,449 sessions on daily charts in an uptrend, with rates of the same order on stock (36,056) and commodity (19,156) charts.
  • Con: no clear edge over random entries in any market with enough data, and our strict rule leaves several rows (weekly charts, commodities) with too few cases to read at all. On candle shape alone, at TA-Lib's own long-body threshold, it finds about 7% of the bullish and 4% of the bearish occurrences of the open-source TA-Lib library, so a scanner will show far more setups.

How reliable is the separating lines pattern?

56.5%vs 54.7% at random

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

Measured on 240 daily bullish separating lines occurrences across 217 assets. Random bars on the same assets are the honest baseline.

No clear edge
42.6%vs 45.2% at random

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

Measured on 148 daily bearish separating lines occurrences across 127 assets. Random bars on the same assets are the honest baseline.

No clear edge

Bullish separating lines 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 laterBullish separating linesRandom bars
  • All markets
    All markets, Bullish separating lines: 56.5%
    All markets, Random bars: 54.7%
  • US stocks
    US stocks, Bullish separating lines: 55.0%
    US stocks, Random bars: 54.6%
2:1 trade hit its targetBullish separating lines tradeSame trade, random dates
  • All markets
    All markets, Bullish separating lines trade: 42.0%
    All markets, Same trade, random dates: 37.8%
  • US stocks
    US stocks, Bullish separating lines trade: 41.7%
    US stocks, Same trade, random dates: 38.1%

Bearish separating lines 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 laterBearish separating linesRandom bars
  • All markets
    All markets, Bearish separating lines: 42.6%
    All markets, Random bars: 45.2%
  • US stocks
    US stocks, Bearish separating lines: 43.2%
    US stocks, Random bars: 45.6%
2:1 trade hit its targetBearish separating lines tradeSame trade, random dates
  • All markets
    All markets, Bearish separating lines trade: 24.0%
    All markets, Same trade, random dates: 26.9%
  • US stocks
    US stocks, Bearish separating lines trade: 23.8%
    US stocks, Same trade, random dates: 27.0%
All statistics

Full results for the separating lines 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

Bullish separating lines: 240 occurrences tested

Bullish pattern · All markets · Daily · 217 assets · 1988-09 to 2026-10

Moved the expected way after 10 bars
56.5%
vs 54.7% on random bars
Excess return vs its market, 10 bars
+0.01%
95% interval −0.72% to +0.68%
its market−3%+3%
2:1 trade hit the target
42.0%
vs 37.8% for the same trade on random dates
Average result per trade
+0.26 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 213 triggered entries
Stop order beyond the pattern's extreme. 1 of these entries is not among the 212 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 9 to 25 · on 89 trades that hit it
Time to the stop, when hit
8 days · middle half 4 to 20 · on 121 trades that hit it
Time in the trade, all exits
11 days · middle half 5 to 24 · on 212 trades

Size and trade path

Pattern range, high to low
4.1% · middle half 3.0% to 5.8% · on 240 occurrences
Range vs average bar (ATR)
1.85× · middle half 1.60× to 2.21× · on 240 occurrences
Best open profit during the trade
1.11 R · middle half 0.43 R to 2.13 R · on 212 trades
Stopped trades that were first up 1 R
19.0% · on 121 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
88.8% · on 240 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 black candle with a real body (not short), then a long white candle that opens at about the same price as the black candle and has a very short lower shadow, or none. 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 (9 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-hour1573.3%47.4%−0.16%Not enough data
US stocks · Daily20355.0%54.6%−0.002%No clear edge
ETFs · Daily2360.9%55.9%+0.21%Not enough data
Indices · Daily1070.0%57.3%−0.01%Not enough data
Commodities · Daily475.0%48.4%−0.64%Not enough data
All markets · Daily24056.5%54.7%+0.01%No clear edge
US stocks · Weekly366.7%61.1%+0.29%Not enough data
ETFs · Weekly2100.0%57.9%+4.45%Not enough data
All markets · Weekly580.0%59.8%+1.95%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-hour1376.9%32.7%+1.31 R vs −0.02 RNot enough data
US stocks · Daily18041.7%38.1%+0.25 R vs +0.17 RNo clear edge
ETFs · Daily2040.0%31.3%+0.18 R vs −0.10 RNot enough data
Indices · Daily944.4%45.4%+0.33 R vs +0.44 RNot enough data
Commodities · Daily366.7%38.9%+1.00 R vs +0.16 RNot enough data
All markets · Daily21242.0%37.8%+0.26 R vs +0.15 RNo clear edge
US stocks · Weekly250.0%70.8%+0.50 R vs +1.13 RNot enough data
ETFs · Weekly2100.0%45.8%+2.00 R vs +0.38 RNot enough data
All markets · Weekly475.0%58.3%+1.25 R vs +0.75 RNot enough data

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

Bearish separating lines: 148 occurrences tested

Bearish pattern · All markets · Daily · 127 assets · 1987-10 to 2026-08

Moved the expected way after 10 bars
42.6%
vs 45.2% on random bars
Excess return vs its market, 10 bars
+0.41%
95% interval −0.76% to +1.76%
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
24.0%
vs 26.9% for the same trade on random dates
Average result per trade
−0.24 R
vs −0.14 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 126 triggered entries
Stop order beyond the pattern's extreme. 1 of these entries is not among the 125 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
10 days · middle half 7 to 23 · on 30 trades that hit it
Time to the stop, when hit
9 days · middle half 4 to 18 · on 91 trades that hit it
Time in the trade, all exits
9 days · middle half 4 to 21 · on 125 trades

Size and trade path

Pattern range, high to low
6.0% · middle half 3.7% to 9.2% · on 148 occurrences
Range vs average bar (ATR)
1.95× · middle half 1.68× to 2.34× · on 148 occurrences
Best open profit during the trade
0.78 R · middle half 0.27 R to 1.84 R · on 125 trades
Stopped trades that were first up 1 R
22.0% · on 91 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
85.1% · on 148 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 white candle with a real body (not short), then a long black candle that opens at about the same price as the white candle and has a very short upper shadow, or none. 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 (8 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-hour3050.0%51.6%+0.70%No clear edge
US stocks · Daily12543.2%45.6%+0.57%No clear edge
ETFs · Daily1942.1%43.2%−0.46%Not enough data
Indices · Daily425.0%44.9%−0.37%Not enough data
All markets · Daily14842.6%45.2%+0.41%No clear edge
US stocks · Weekly2100.0%40.3%+33.19%Not enough data
ETFs · Weekly250.0%41.4%+1.25%Not enough data
All markets · Weekly475.0%40.9%+17.22%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-hour2638.5%30.8%+0.15 R vs −0.07 RNot enough data
US stocks · Daily10523.8%27.0%−0.23 R vs −0.13 RNo clear edge
ETFs · Daily1729.4%27.9%−0.12 R vs −0.16 RNot enough data
Indices · Daily30.0%16.7%−1.00 R vs −0.50 RNot enough data
All markets · Daily12524.0%26.9%−0.24 R vs −0.14 RNo clear edge
US stocks · Weekly1100.0%0.0%+2.00 R vs −1.00 RNot enough data
ETFs · Weekly10.0%66.7%−1.00 R vs +1.00 RNot enough data
All markets · Weekly250.0%33.3%+0.50 R vs 0.00 RNot enough data

Data updated November 5, 2026 · code version c2a1683f · Read the methodology. The bearish separating lines 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 forex charts the bullish separating lines 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.

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeBullish casesBullish closed tradesBullish: 2:1 target hit (random dates)Bearish casesBearish closed tradesBearish: 2:1 target hit (random dates)
All markets, daily24021242.0% (37.8%)14812524.0% (26.9%)
Crypto, hourly151376.9% (32.7%)302638.5% (30.8%)
US stocks, daily20318041.7% (38.1%)12510523.8% (27.0%)
All markets, weekly5475.0% (58.3%)4250.0% (33.3%)

Each rate is the share of trades that reached the target. Compare it with the one in parentheses: the same entry, stop and target on random dates of the same assets. On daily charts, 56.5% of uptrend cases were higher 10 days later, against 54.7% of random days. The trade in an uptrend had an expectancy of +0.26 R per trade before costs, against +0.15 R at random; the short one had an expectancy of −0.24 R, against −0.14 R for a random short, a gap within noise. Every row with at least thirty trades shows no measurable difference from chance, on the 10-bar move as on the 2:1 trade. Both hourly crypto rows and both weekly rows have fewer than thirty trades: their rates are shown, but they are too few to be read either way. Hourly forex produced no case of either version; commodity data produced only 4 bullish daily cases and no bearish ones: our bench draws no conclusion there.

What you often read

“The bullish separating lines pattern is a reliable continuation signal.”

What our data shows

On 240 daily occurrences, it moved in the expected direction 56.5% of the time, against 54.7% for random bars: no clear edge, since the average excess return is not statistically significant.

What you often read

“The bearish separating lines pattern is a reliable continuation signal.”

What our data shows

On 148 daily occurrences, it moved in the expected direction 42.6% of the time, against 45.2% for random bars: no clear edge, since the average excess return is not statistically significant.

Cases from our test bench

The gallery in the Real examples section shows real separating lines, picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome. The cases written up here are on daily US stock charts.

  • Target reached. On December 20, 2021, AFL printed a black candle (50.31 to 49.72); on December 21 the next one started at 50.33, back at the first open within our tolerance, and closed at 51.05. The buy stop at 51.53 was triggered on December 22, with a stop at 49.09, and the 2:1 target at 56.42 was reached on January 10, 2022.
  • Stopped out. On August 22, 1994, Citigroup (C) printed a black candle from 27.54 to 27.34; on August 23 the next one started at 27.54, back at the first open, and closed at 28.24. The stock opened at 28.64 on August 24, above the buy stop, so the entry filled at that open, with a stop at 27.24. Price rose to 29.64 on August 30, about 0.7 R in profit, then fell back to the stop on September 19: a 1 R loss.
  • Canceled. On September 29, 2022, AMD started at 67.15 and fell to 64.14 to close the session, a short setup. Three sessions later, price traded above the top of the setup at 68.80 before breaking its low, yet AMD was 8.1% lower 10 days later.

In all three cases the second candle jumps back to the first open instead of starting at the previous close, the gap that stock charts allow.

FAQ

Are separating lines bullish or bearish?

Both: bullish in an uptrend, bearish in a downtrend. They are continuation signals: the textbook says the move should continue. Learn to read them in context, not alone.

Is the separating lines pattern reliable?

Not on its own. When it appears on a chart, the odds are those of a random day: on 240 bullish and 148 bearish daily occurrences, neither version did better than random days on the same assets by a margin our tests count.

Summary

  • Two candlestick bodies of opposite colors that start at the same price and move apart, with the prevailing direction.
  • In an uptrend: 42.0% of 2:1 targets hit on 240 daily cases (212 closed trades), against 37.8% on random dates, a gap within noise.
  • In crypto and forex each candle opens almost exactly at the prior close, so a first candle with a real body rarely fits and the setup is rare.

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. Disclaimer: this page is educational information, not investment advice.

, 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