CandlestickBullish: Long white lineBearish: Long black line
Long Line Candlestick Pattern: Definition, Trading Rules and Tested Results
A candle with a body longer than the recent average and short wicks: one side held control all session. Learn what the long line means, how to trade it and what the data says.
How we tested this pattern
- Sample
- 783,007 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1970 to 2026.
- Detection
- Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.long white line pattern: Long white body with short shadows, also 1.5 times longer than the average body of the previous 50 candles. 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.long black line pattern: Long black body with short shadows, also 1.5 times longer than the average body of the previous 50 candles. 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 · long white line pattern data (JSON) · long black line pattern data (JSON)
At a glance: what textbooks say, what we measured
- Pattern
- Bullish: Long white line
- Occurrences tested
- 402,234 occurrences, all markets, daily
- Textbook: price should rise after it
- Too close to call · −0.07% vs the market, 10 bars
- Where it did best, US stocks left out
- Indices, weekly: +0.19 R 2:1 trade vs random dates, not proven
- Verdict
- 10-bar move: Weak, below chance2:1 trade: No clear edge
- Pattern
- Bearish: Long black line
- Occurrences tested
- 380,773 occurrences, all markets, daily
- Textbook: price should fall after it
- The opposite · −0.12% vs the market, 10 bars
- Where it did best
- Crypto, 4-hour: +0.01 R 2:1 trade vs random dates, not proven
- Verdict
- 10-bar move: Opposite of the textbook2:1 trade: No clear edge
On this page
- What is a long line candlestick pattern?
- How to identify a long line candlestick
- Anatomy of a bullish candlestick
- Anatomy of a bearish candlestick
- Real examples
- How to trade using long line patterns
- Long line candlestick variations
- Why body size matters in market trends
- Reliability: what our data shows
- Common mistakes when trading long-line candles
- Integrating the pattern with other indicators
- Candles in different time frames
- Advanced chart patterns involving big candles
- Psychological impact on market participants
- Real cases on daily crypto charts
- Frequently asked questions about long line patterns
- Summary of key points
- Recommended reading for technical analysis
The long line candlestick pattern is a single candlestick with a real body more than 1.3 times the average body of the previous 10 candles, and more than 1.5 times that of the previous 50, and short wicks at both ends. A white (green) one shows buyers in control from the open to the close; a black (red) one shows sellers in control. It is a simple pattern to spot, and it appears on any price chart.
This guide will help you identify the pattern, understand what it says about buying pressure and selling pressure, and learn how to use it next to other candlestick patterns such as the marubozu, the engulfing pattern, the hammer or the morning star. It also measures what price did next. Our test bench scanned full price history and detected 402,234 bullish and 380,773 bearish candlesticks on daily charts alone, and compared the outcome with random bars on the same assets.
What is a long line candlestick pattern?
Defining the long line candle
A long-line candlestick (also called a long day) is a type of candle with a real body, the distance between the open and close, that is big compared with recent candles, while the upper and lower shadows stay short. It can be bullish (it closes above the opening price) or bearish (it closes below it). Nothing else is required: no prior trend, no second candle. It is a single-candlestick pattern, like the doji or the hammer. It is seen on every market and forms on every time frame.
Definitions vary in strictness. Our bench starts from the rule of the open source TA-Lib library, with a higher bar: the body is more than 1.3 times the average of the previous 10 bodies (1.6 times on a textbook candle), at least 0.6 times the largest of those 10, and 1.5 times the average of the previous 50, and each shadow is shorter than the average shadow of the previous 10 candles. On candle shape alone, at TA-Lib's own long-body threshold, our rule finds 59% of its white cases and 58% of its black ones; the share at our higher bar was not measured. A stricter threshold, such as a body three times the recent average, makes the signal rarer; we have not tested it.
The importance of body length in technical analysis
In candlestick charting, the candle's body represents the result of the period: how far price traveled between the open and close. A small body means buyers and sellers ended near where they started; a big body shows that one side moved price far and held it there. That is why classical candlestick analysis reads size first, before the wicks.
How to identify a long line candlestick
- Short upper shadow
- Long white body
- Short lower shadow
- Short upper shadow
- Long black body
- Short lower shadow
Visual characteristics of the candlestick
When the pattern appears on the chart, look for three things:
- a body more than 1.3 times the average body of the previous 10 candles and more than 1.5 times that of the previous 50;
- short wicks at both ends, so the body fills most of the space between the high and low;
- a finished bar: between the open and the close, the candlestick can still change shape.
On the median daily occurrence our bench found, the whole candlestick spans 3.11% of price, or 1.19 times the average true range (ATR) of the asset. The typical one is not a wide bar: its range is about the same as an average session. What makes it stand out is how much of that space the real move fills. The up version appears about once every 21 bars on daily charts.
Comparing the pattern to short-line candlestick patterns
A short-line candlestick is the opposite: a small body (but not a doji) with short wicks, a quiet session read as indecision. A big body looks like the stronger signal. Our data does not support that ranking. On daily charts, the bearish short-line candle was rated No clear edge: its 2:1 trade lost money, about as much as at random. It reached the target in 29.4% of 348,938 trades against 29.1% for the same trade on random dates (−0.13 R against −0.13 R). The bearish long-line candlestick did 29.1% on 323,104 trades against 29.4%, with no measurable difference in average result per trade.
The role of volume in confirming the pattern
Classical candlestick analysis wants high volume on the pattern, as a sign that large buyers or sellers drove the move. We measured it. On daily price charts, up candles printed with volume above 1.5 times the 20-day average reached the 2:1 target 36.3% of the time, against 36.2% on normal volume (+0.10 R against +0.08 R). The gap is small and this breakdown is descriptive (not corrected for the number of tests): treat high volume as a mild plus, not a filter that changes the trading odds.
Anatomy of a bullish candlestick
Opening and closing price dynamics
This candlestick opens near the lowest price of the session and closes near the highest. The opening price and the closing price sit at the two ends of the range, and both wicks are short. It is white on classic charts, or green.
Market sentiment behind strong buying
The body shows a strong session: buyers lifted price through most of the session and sellers could not push price back before the close. Classical candlestick analysis reads it as strong buying pressure and a potential shift in market sentiment toward the upside, with more weight after a downtrend or at a support level. We test the prior trend below; we have not tested support levels.
Anatomy of a bearish candlestick
Understanding aggressive selling pressure
The bearish type opens near the top and ends near the bottom, with a black or red body that fills the range. It represents sellers in control from the open to the close, with buyers unable to lift price before the end of the day. Its median daily range is 3.41% of price, and 1.21 times the ATR.
The psychology behind the big red candle
Classical candlestick analysis reads a big red candle after an uptrend as a potential bearish reversal: holders sell at any price, and the close at the bottom shows that buyers never took control. The same analysis reads this candlestick in a downtrend as continuation. The shape is identical in both cases; only the context changes the reading.
Real examples
Real occurrences from our test bench, each on its market's main timeframe. Crypto and US stock examples come from liquid assets only (the largest coins, the most traded stocks). Best and Worst are the best and worst 2:1 trade results, Textbook the cleanest shapes (chosen on geometry alone, never on the outcome), Most recent the latest detections among the assets the gallery draws from, Typical a random draw. Shaded area: the pattern. Dashed lines: entry, stop loss (SL) and 2:1 target (TP) of the tested trade. Dotted line: 10 bars after the signal. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. Stock prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 27 cards: 1 with a bar far out of line with the bars around it (a likely bad quote), 22 with a shape that does not read as the definition on this page, 4 with a candle that is the thin first bar of the trading week. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.
How to trade using long line patterns
The pattern is used in three ways. In each case, our bench tests the same simple trading setup, here for a bullish candle (the mirror for a bearish one):
- entry: a buy stop just above the high price;
- stop: below the low price;
- target: a price at twice the risk from entry.
- Entry
- Buy stop at the pattern high
- Stop loss (SL)
- At the pattern low
- Target (TP)
- Twice the risk (2:1)
- Entry
- Sell stop at the pattern low
- Stop loss (SL)
- At the pattern high
- Target (TP)
- Twice the risk (2:1)
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.
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.
Identifying support and resistance breakouts
Using big candles as trend signals
In the classical reading, a bullish candlestick pattern of this kind in an uptrend shows fresh demand, and a bearish one in a downtrend shows fresh selling. We split daily bullish candles by the prior trend: after an uptrend, the 2:1 target was hit 35.3% of the time (+0.05 R); after a fall, 37.1% (+0.11 R). The difference is small and descriptive.
Reversal signals at extreme price levels
After a sustained decline, a big bullish candle can be the first signal of a reversal; after a sustained uptrend, a big bearish one can be the first signal of a top. Here the stop is key: if price trades back through the other end of the candlestick, the reversal reading is wrong.
Entry, stop and target
On daily charts, for the bullish setup:
- the buy stop was triggered 87.0% of the time; in the other 12.9%, price fell through the bottom first and the setup was canceled;
- trades that reached the target took a median of 8 bars, stopped trades a median of 4;
- of the trades that hit their stop, 24.2% had first been up 1 R, which is where a trailing stop or a partial exit can help the trading result.
Long line candlestick variations
The marubozu: the ultimate long line
A marubozu is the same candlestick with the wicks removed: it opens at one extreme and ends at the other. The closing marubozu only removes the wick at the closing end, while the opening end can keep one. If the shaved ends carried extra information, the marubozu should beat the ordinary version. It does not: on daily charts, 52.7% of white marubozu candles were higher 10 bars later, against 53.2% for the long-line candlestick pattern.
Candlesticks with small shadows
Every occurrence has short wicks at both ends: our rule requires it. A candlestick with a big body and a long lower wick, or a long upper wick, is a different shape: that shadow shows a rejected move inside the period, and other candlestick patterns such as the hammer or the shooting star describe it.
Differences between big bodies and doji candles
A doji is the opposite case: open and close almost equal, a sign of indecision. The long-line candlestick indicates control; the doji indicates indecision between buyers and sellers. On a daily chart, a trade in the direction of the first breakout of a doji reached its 2:1 target in 33.7% of 1,194,453 trades, against 33.5% on random dates.
Why body size matters in market trends
Volatility and the pattern
Because our rule compares each candle with the previous 10 and the previous 50, the pattern is relative to recent activity, not absolute: a quiet market produces it with small price moves, and a volatile market needs larger moves to qualify.
Measuring momentum through candle length
In the classical reading, size is a simple momentum gauge: a series of big candles in an uptrend points to strong demand, while shrinking ones suggest the move is slowing. We have not tested series of candles, and a single pattern indicated little on its own, as the statistics below show.
Reliability: what our data shows
This candlestick pattern is not a reliable trading signal on its own: across every market and time frame we tested, it moved in its expected direction about as often as a random bar on the same assets, or less often. The one exception, white candles on daily crypto, was rated promising, a gap that does not survive our correction for multiple testing. On the 2:1 trade, no market and time frame did measurably better than random dates.
Moved the expected way 10 bars later, compared with random bars.
Measured on 402,234 daily long white line occurrences across 2,345 assets. Random bars on the same assets are the honest baseline.
Weak, below chanceMoved the expected way 10 bars later, compared with random bars.
Measured on 380,773 daily long black line occurrences across 2,352 assets. Random bars on the same assets are the honest baseline.
Opposite of the textbookLong white line against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
Long black line against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
All statistics
Full results for the long line candlestick pattern, market by market
Every occurrence our rule finds on full price history, compared with what the same assets did on random bars. A pattern only earns an edge if it beats random entries after correcting for the thousands of tests we run.
Our verdict
Weak, below chance. It does slightly worse than the baseline, but not in every check.
Long white line: 402,234 occurrences tested
Bullish pattern · All markets · Daily · 2,345 assets · 1970-03 to 2026-10
What this means. A difference shows up (p < 0.05), but below the baseline, and it does not survive the multiple-testing correction. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.
Timeline
- Entry triggered, after the pattern
- 1 day · middle half 1 to 1 · on 350,000 triggered entries
- Stop order beyond the pattern's extreme. 790 of these entries are not among the 349,210 trades: still open at the end of our data, or left out by the trade rules.
- Time to the 2:1 target, when hit
- 8 days · middle half 4 to 15 · on 126,269 trades that hit it
- Time to the stop, when hit
- 4 days · middle half 2 to 9 · on 221,925 trades that hit it
- Time in the trade, all exits
- 5 days · middle half 2 to 11 · on 349,210 trades
Size and trade path
- Pattern range, high to low
- 3.1% · middle half 2.2% to 4.6% · on 402,234 occurrences
- Range vs average bar (ATR)
- 1.19× · middle half 1.02× to 1.42× · on 402,234 occurrences
- Best open profit during the trade
- 1.08 R · middle half 0.33 R to 2.11 R · on 349,210 trades
- Stopped trades that were first up 1 R
- 24.2% · on 221,925 stopped trades
- Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
- Entry order triggered
- 87.0% · on 402,234 occurrences
Medians, each on the cases named on its line; "middle half" spans the 25th to 75th percentile; no value under 30 cases.
How we detect it. Long white body with short shadows, also 1.5 times longer than the average body of the previous 50 candles. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them. Candlestick counts are not checked against planted examples, so they may not be exhaustive.
All measurements (20 rows)
10-bar move: did price go the expected way?
| Market | Occurrences | Pattern | Random bars | Excess | 10-bar move verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 505,714 | 46.6% | 48.2% | −0.07% | Opposite of the textbook |
| Forex · 1-hour | 72,408 | 48.9% | 50.6% | −0.01% | Opposite of the textbook |
| All markets · 1-hour | 578,122 | 46.9% | 48.5% | −0.06% | Opposite of the textbook |
| Crypto · 4-hour | 113,211 | 47.2% | 47.4% | −0.02% | No clear edge |
| Forex · 4-hour | 19,419 | 50.5% | 50.7% | −0.01% | No clear edge |
| All markets · 4-hour | 132,630 | 47.7% | 47.9% | −0.02% | No clear edge |
| Crypto · Daily | 15,578 | 49.1% | 45.0% | +0.68% | Promising |
| US stocks · Daily | 356,420 | 53.1% | 54.3% | −0.10% | Opposite of the textbook |
| ETFs · Daily | 13,343 | 56.5% | 56.8% | +0.01% | No clear edge |
| Indices · Daily | 8,629 | 58.4% | 57.5% | −0.12% | Opposite of the textbook |
| Forex · Daily | 4,350 | 49.8% | 51.2% | −0.04% | No clear edge |
| Commodities · Daily | 3,914 | 51.5% | 52.2% | −0.07% | No clear edge |
| All markets · Daily | 402,234 | 53.2% | 54.0% | −0.07% | Weak, below chance |
| Crypto · Weekly | 855 | 38.0% | 40.6% | +3.23% | Not enough data |
| US stocks · Weekly | 72,601 | 55.4% | 58.2% | −0.21% | No clear edge |
| ETFs · Weekly | 3,179 | 58.4% | 62.5% | −0.09% | No clear edge |
| Indices · Weekly | 1,892 | 63.5% | 62.8% | +0.29% | No clear edge |
| Forex · Weekly | 1,023 | 48.1% | 50.6% | +0.02% | No clear edge |
| Commodities · Weekly | 850 | 53.2% | 54.3% | −0.62% | No clear edge |
| All markets · Weekly | 80,400 | 55.4% | 58.2% | −0.16% | No clear edge |
2:1 trade: target hit and average result
| Market | Trades | Target hit | Same trade, random dates | Per trade | 2:1 trade verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 461,214 | 32.7% | 33.0% | −0.01 R vs 0.00 R | No clear edge |
| Forex · 1-hour | 66,025 | 31.8% | 32.7% | −0.04 R vs −0.01 R | Weak, below chance |
| All markets · 1-hour | 527,239 | 32.6% | 33.0% | −0.02 R vs 0.00 R | No clear edge |
| Crypto · 4-hour | 102,985 | 34.3% | 33.5% | +0.04 R vs +0.01 R | No clear edge |
| Forex · 4-hour | 17,800 | 33.1% | 33.0% | 0.00 R vs −0.01 R | No clear edge |
| All markets · 4-hour | 120,785 | 34.1% | 33.4% | +0.03 R vs +0.01 R | No clear edge |
| Crypto · Daily | 14,225 | 37.6% | 34.4% | +0.13 R vs +0.03 R | No clear edge |
| US stocks · Daily | 308,796 | 35.9% | 36.5% | +0.07 R vs +0.09 R | No clear edge |
| ETFs · Daily | 11,049 | 38.5% | 37.1% | +0.15 R vs +0.10 R | No clear edge |
| Indices · Daily | 7,725 | 41.0% | 39.6% | +0.23 R vs +0.19 R | No clear edge |
| Forex · Daily | 3,964 | 33.1% | 33.4% | 0.00 R vs 0.00 R | No clear edge |
| Commodities · Daily | 3,451 | 37.8% | 38.1% | +0.13 R vs +0.14 R | No clear edge |
| All markets · Daily | 349,210 | 36.2% | 36.5% | +0.08 R vs +0.09 R | No clear edge |
| Crypto · Weekly | 742 | 42.2% | 39.9% | +0.27 R vs +0.20 R | Not enough data |
| US stocks · Weekly | 65,413 | 39.5% | 41.1% | +0.19 R vs +0.23 R | No clear edge |
| ETFs · Weekly | 2,848 | 42.6% | 42.5% | +0.27 R vs +0.27 R | No clear edge |
| Indices · Weekly | 1,766 | 46.5% | 40.2% | +0.39 R vs +0.20 R | No clear edge |
| Forex · Weekly | 911 | 31.0% | 32.0% | −0.07 R vs −0.04 R | No clear edge |
| Commodities · Weekly | 774 | 40.1% | 40.8% | +0.20 R vs +0.23 R | No clear edge |
| All markets · Weekly | 72,454 | 39.8% | 41.0% | +0.19 R vs +0.23 R | No clear edge |
Our verdict
The opposite of the textbook. After this pattern, price moved against the taught direction, beyond the rest of the market.
Long black line: 380,773 occurrences tested
Bearish pattern · All markets · Daily · 2,352 assets · 1970-03 to 2026-10
What this means. Price moved the other way from what textbooks teach, more than the rest of the market, and that survived our multiple-testing correction. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.
Timeline
- Entry triggered, after the pattern
- 1 day · middle half 1 to 1 · on 324,044 triggered entries
- Stop order beyond the pattern's extreme. 940 of these entries are not among the 323,104 trades: still open at the end of our data, or left out by the trade rules.
- Time to the 2:1 target, when hit
- 7 days · middle half 4 to 14 · on 94,007 trades that hit it
- Time to the stop, when hit
- 4 days · middle half 2 to 9 · on 227,473 trades that hit it
- Time in the trade, all exits
- 5 days · middle half 2 to 11 · on 323,104 trades
Size and trade path
- Pattern range, high to low
- 3.4% · middle half 2.4% to 5.2% · on 380,773 occurrences
- Range vs average bar (ATR)
- 1.21× · middle half 1.03× to 1.44× · on 380,773 occurrences
- Best open profit during the trade
- 0.87 R · middle half 0.29 R to 2.05 R · on 323,104 trades
- Stopped trades that were first up 1 R
- 23.8% · on 227,473 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 380,773 occurrences
Medians, each on the cases named on its line; "middle half" spans the 25th to 75th percentile; no value under 30 cases.
How we detect it. Long black body with short shadows, also 1.5 times longer than the average body of the previous 50 candles. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them. Candlestick counts are not checked against planted examples, so they may not be exhaustive.
All measurements (20 rows)
10-bar move: did price go the expected way?
| Market | Occurrences | Pattern | Random bars | Excess | 10-bar move verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 521,620 | 48.0% | 50.7% | −0.07% | Opposite of the textbook |
| Forex · 1-hour | 74,371 | 46.3% | 49.3% | −0.01% | Opposite of the textbook |
| All markets · 1-hour | 595,991 | 47.8% | 50.5% | −0.06% | Opposite of the textbook |
| Crypto · 4-hour | 125,234 | 49.2% | 52.2% | −0.12% | Opposite of the textbook |
| Forex · 4-hour | 19,171 | 48.3% | 49.5% | −0.01% | No clear edge |
| All markets · 4-hour | 144,405 | 49.1% | 51.8% | −0.10% | Opposite of the textbook |
| Crypto · Daily | 18,895 | 52.4% | 55.8% | −0.35% | Weak, below chance |
| US stocks · Daily | 334,394 | 44.6% | 45.6% | −0.10% | Opposite of the textbook |
| ETFs · Daily | 12,557 | 41.1% | 43.0% | −0.20% | Opposite of the textbook |
| Indices · Daily | 7,059 | 42.8% | 42.6% | −0.35% | Opposite of the textbook |
| Forex · Daily | 4,075 | 48.5% | 49.5% | −0.02% | No clear edge |
| Commodities · Daily | 3,793 | 47.2% | 48.1% | −0.14% | No clear edge |
| All markets · Daily | 380,773 | 44.9% | 46.0% | −0.12% | Opposite of the textbook |
| Crypto · Weekly | 1,226 | 53.6% | 61.9% | −1.50% | Not enough data |
| US stocks · Weekly | 54,940 | 40.5% | 42.5% | −0.28% | Weak, below chance |
| ETFs · Weekly | 2,257 | 35.8% | 38.0% | −0.11% | No clear edge |
| Indices · Weekly | 1,212 | 37.8% | 37.7% | −0.64% | Opposite of the textbook |
| Forex · Weekly | 815 | 47.5% | 50.1% | −0.24% | Weak, below chance |
| Commodities · Weekly | 797 | 44.4% | 46.3% | −0.51% | No clear edge |
| All markets · Weekly | 61,247 | 40.6% | 42.7% | −0.30% | Weak, below chance |
2:1 trade: target hit and average result
| Market | Trades | Target hit | Same trade, random dates | Per trade | 2:1 trade verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 471,887 | 31.9% | 32.8% | −0.03 R vs 0.00 R | Weak, below chance |
| Forex · 1-hour | 67,867 | 30.0% | 32.5% | −0.09 R vs −0.01 R | Opposite of the textbook |
| All markets · 1-hour | 539,754 | 31.6% | 32.7% | −0.04 R vs 0.00 R | Weak, below chance |
| Crypto · 4-hour | 112,690 | 32.8% | 32.2% | 0.00 R vs −0.01 R | No clear edge |
| Forex · 4-hour | 17,475 | 31.6% | 32.6% | −0.04 R vs −0.01 R | No clear edge |
| All markets · 4-hour | 130,165 | 32.6% | 32.3% | 0.00 R vs −0.01 R | No clear edge |
| Crypto · Daily | 16,908 | 33.8% | 32.2% | +0.05 R vs +0.01 R | No clear edge |
| US stocks · Daily | 283,234 | 28.7% | 29.1% | −0.14 R vs −0.13 R | No clear edge |
| ETFs · Daily | 10,034 | 28.1% | 28.9% | −0.18 R vs −0.14 R | No clear edge |
| Indices · Daily | 6,001 | 31.6% | 32.3% | −0.05 R vs −0.03 R | No clear edge |
| Forex · Daily | 3,676 | 32.8% | 32.4% | −0.01 R vs −0.02 R | No clear edge |
| Commodities · Daily | 3,251 | 30.7% | 31.5% | −0.10 R vs −0.07 R | No clear edge |
| All markets · Daily | 323,104 | 29.1% | 29.4% | −0.13 R vs −0.12 R | No clear edge |
| Crypto · Weekly | 800 | 21.9% | 25.6% | −0.31 R vs −0.20 R | Not enough data |
| US stocks · Weekly | 46,849 | 24.1% | 24.7% | −0.27 R vs −0.25 R | No clear edge |
| ETFs · Weekly | 1,864 | 25.4% | 26.7% | −0.22 R vs −0.19 R | No clear edge |
| Indices · Weekly | 1,047 | 28.6% | 27.2% | −0.14 R vs −0.17 R | No clear edge |
| Forex · Weekly | 715 | 28.8% | 32.8% | −0.13 R vs −0.01 R | No clear edge |
| Commodities · Weekly | 695 | 25.8% | 25.7% | −0.23 R vs −0.21 R | No clear edge |
| All markets · Weekly | 51,970 | 24.3% | 24.9% | −0.26 R vs −0.24 R | No 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 long white line shows buyers in control, so price keeps rising.”
What our data shows
On 402,234 daily occurrences, it moved in the expected direction 53.2% of the time, against 54.0% for random bars: its average excess return over the rest of the market passes a simple test but does not survive our correction.
What you often read
“The long black line shows sellers in control, so price keeps falling.”
What our data shows
On 380,773 daily occurrences, it moved in the expected direction 44.9% of the time, against 46.0% for random bars: its average excess return over the rest of the market is negative, and that survived our correction.
Table quoted in the text (verdicts and every market: see All measurements)
| Type, market and time frame | Candles tested | Moved as expected after 10 bars | Random bars | Closed trades | 2:1 target hit | Same trade, random dates | Expectancy (R) |
|---|---|---|---|---|---|---|---|
| White, all markets, daily | 402,234 | 53.2% | 54.0% | 349,210 | 36.2% | 36.5% | +0.08 |
| White, US stocks, daily | 356,420 | 53.1% | 54.3% | 308,796 | 35.9% | 36.5% | +0.07 |
| White, crypto, daily | 15,578 | 49.1% | 45.0% | 14,225 | 37.6% | 34.4% | +0.13 |
| White, crypto, hourly | 505,714 | 46.6% | 48.2% | 461,214 | 32.7% | 33.0% | −0.01 |
| White, forex, hourly | 72,408 | 48.9% | 50.6% | 66,025 | 31.8% | 32.7% | −0.04 |
| Black, all markets, daily | 380,773 | 44.9% | 46.0% | 323,104 | 29.1% | 29.4% | −0.13 |
| Black, US stocks, daily | 334,394 | 44.6% | 45.6% | 283,234 | 28.7% | 29.1% | −0.14 |
| Black, crypto, hourly | 521,620 | 48.0% | 50.7% | 471,887 | 31.9% | 32.8% | −0.03 |
| Black, forex, hourly | 74,371 | 46.3% | 49.3% | 67,867 | 30.0% | 32.5% | −0.09 |
How to read the table
Read it in pairs of columns. On daily charts, 53.2% of up candles were followed by a gain 10 bars later. That sounds like a signal until you see that 54.0% of random bars on the same assets were higher too: these assets rose a little more often than they fell over our data. For black ones, "moved as expected" means price was lower 10 bars later: 44.9% of the time, against 46.0% for random bars. The excess return over the rest of the market after 10 days is −0.07% for the up version, with a 95% confidence interval from −0.12% to −0.02%: zero is outside, on the low side, so the up version did slightly worse than chance, rated weak, below chance because the gap does not hold in both halves of the history (−0.15% in the first half, +0.02% in the second). The black version did worse than chance after our correction.
The last column is the average result per trade in units of risk, before fees: an expectancy of +0.08 R means an average gain of that fraction of the amount risked. On daily charts the bullish trade averaged +0.08 R against +0.09 R for the same trade on random dates, and the bearish one −0.13 R against −0.12 R. On all daily markets combined, the 2:1 trade added nothing to the timing of trading decisions.
Where it did worse than chance
On hourly charts, both versions did worse than chance over 10 bars after our correction for multiple testing, and so did both on daily US stocks. On the 2:1 trade, hourly forex was the weak spot:
- the bullish trade averaged −0.04 R against −0.01 R for random dates, a gap that does not survive our correction for multiple testing;
- the bearish one averaged −0.09 R against −0.01 R, worse than chance after our correction.
On hourly charts in general, the next bar went against the candle more often than after a random bar (a descriptive figure, not one of our corrected tests): after an up candle, the next hourly bar was higher 43.6% of the time, against 48.1% for random bars. A big hourly candle was more often followed by a pullback than by more of the same.
Stability
The gap stayed small in both periods, but its sign changed: for daily bullish candles, the excess return was −0.15% in the first half of the history and +0.02% in the second half.
The full table also shows very large crypto weekly figures: +3.23% for white candles and −1.50% for black ones. Neither could be tested: the occurrences fall in too few separate periods. Both are simple averages pulled by a few altcoins that multiplied, one of them more than 100-fold in 10 weeks, and the median case points the other way on both rows.
Common mistakes when trading long-line candles
The mistakes below come from trading decisions taken without context.
Ignoring the context of the trend
The same candlestick means continuation in one trend and potential reversal in another. Trading every occurrence in the direction of its color ignores that. On daily charts, filtering by the 200-day moving average barely changed the bullish trade: 35.7% of targets hit above it (+0.07 R), 37.1% below it (+0.11 R).
Trading without volume confirmation
Classical candlestick analysis teaches volume as a confirmation of the pattern. Volume can help read it, but in our data it changed the odds only slightly. Do not expect a high-volume candlestick to be a high-probability trade.
Overlooking key support and resistance levels
Buying the top of an extended move
A large candle at the end of a sustained uptrend can be the moment late buyers enter the trend. On hourly charts, the next bar more often went the other way. Waiting for a move beyond the top, as in our test, at least avoids buying at the close of the candle.
Integrating the pattern with other indicators
Combining with moving averages
A moving average can help define the trend. One approach is to combine the pattern with technical indicators and take bullish signals only above a rising moving average and bearish ones only below a falling one. As shown above, the 200-day filter did not change the result much on its own.
Using relative strength index for confirmation
One filter skips a candle when the relative strength index is already overbought, on the idea that the move is stretched. We have not tested this filter. If you use it, test it before trading it.
Bollinger Bands
A big candle that ends outside a Bollinger Band shows momentum larger than recent volatility. It can be read as a breakout or as an overextension likely to revert. We have not measured either reading.
Candles in different time frames
Importance of time frame selection
Pick the chart you trade before reading any candlestick. No time frame showed a confirmed edge in our tests. Across all markets, weekly bullish candles had the best raw numbers (39.8% of 2:1 targets hit on 72,454 trades, +0.19 R), but random weeks on the same assets did slightly better (41.0%, +0.23 R): the weekly result comes from the rise of these assets over our data, not from the candle.
Intraday vs daily chart analysis
- Daily charts, all markets combined: the average result per trade did not differ measurably from chance; over 10 bars, black candles did worse than chance after our correction, and white ones slightly worse, not confirmed.
- Hourly charts: the next bar went against the candle more often than after a random bar, a descriptive figure outside our corrected tests; after 10 bars, both versions did worse than chance after our correction, on crypto and on forex.
- Daily ETFs and indices: higher target rates than random dates (38.5% on 11,049 trades against 37.1% and 41.0% on 7,725 trades against 39.6% of targets hit), but their average result per trade did not differ measurably from chance, and on indices the white candle's 10-bar excess return was below chance after our correction.
Advanced chart patterns involving big candles
This candlestick is the building block of many multi-candle patterns. Here is how those candlestick patterns did on daily charts with the same 2:1 trade.
Three white soldiers
Three white soldiers are three big candles in a row, each ending near its top. On 257 daily occurrences (227 closed trades), the trade reached its target 34.4% of the time against 33.3% on random dates.
Three black crows
Three black crows are the bearish mirror. On 493 daily occurrences (448 closed trades): 22.1% against 26.0%, no measurable difference.
Bullish and bearish engulfing patterns
In an engulfing pattern, a big second candle covers the body of the first one, in the other color. The bullish engulfing trade reached its target in 36.9% of 48,554 trades against 35.7% (rated no clear edge); the bearish engulfing trade 28.5% on 68,440 trades against 29.1%. The second candle of a bullish engulfing or bearish engulfing pattern can be of this kind.
Morning star and evening star
The morning star, a classic reversal pattern, starts with a big red candle and ends with a big green one; the evening star is the mirror, a bearish reversal. Morning star trades reached the target in 40.6% of 2,366 trades against 34.2% on random dates, evening star trades 26.6% on 3,005 trades against 25.8%. On all daily markets combined, neither star pattern's average result per trade differed measurably from random dates (+0.29 R against +0.15 R for the morning star, −0.16 R against −0.20 R for the evening star).
The separating lines pattern
The separating lines pattern pairs a candle with a big candlestick of the other color that has the same open, in the direction of the trend. On daily charts, the bullish version reached its target in 42.0% of 212 trades, against 37.8% on random dates: no measurable difference.
Hammer, hanging man and shooting star
The hammer, the inverted hammer, the hanging man and the shooting star each forms with a small body and a dominant wick: they are reversal candles, the reverse of this pattern. The hammer trade reached its target in 35.4% of 12,005 trades against 36.1% on random dates, rated no clear edge. On daily charts, none of the four had a 2:1 trade that differed measurably from random dates; the hanging man and the inverted hammer, for example, still had a negative expectancy (−0.25 R against −0.28 R, and −0.08 R against −0.08 R per trade). None of these four candles can be a long line: their body is too short and one of their wicks is too long.
Psychological impact on market participants
Greed and fear in big candles
A big green candle attracts buyers who fear missing higher prices; a big red one triggers sellers who fear lower prices. That is the classic explanation for the attention these candles and the patterns built on them receive. But in our data, chasing the pattern gave no confirmed edge.
How institutional traders influence candle size
Big orders that push price through a session can produce a big candle: when a large buyer keeps lifting offers until the close, the candle has no time to build an upper wick. The pattern reflects that pressure, not who was behind it or whether it will continue.
Real cases on daily crypto charts
The Real examples section shows real long line candles picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome. The cases written up below are on daily crypto charts.
A bullish candle that reached its target
On August 27, 2021, the SOL/USDT daily chart printed a big green candle: open 74.92, high 88.92, low 72.55, close 87.98.
- Entry: the buy stop at 88.92 was triggered the next day.
- Stop at 72.55, 2:1 target at 121.66.
- Result: the target was hit on August 31, 2021, and SOL was 86.7% higher 10 days after the candle.
Two stopped trades
On May 4, 2022, XRP/USDT printed a bullish candlestick, open 0.6047 and close 0.6459, with a high at 0.65 and a low at 0.6039. The next day traded both above 0.65 and down to 0.5801, under the stop. When one bar touches both entry and stop, the bench cannot know the order and counts a stopped trade: a full 1 R loss, and XRP was 34.0% lower 10 days later. On June 1, 2020, ATOM/USDT printed one with a top at 2.865 and a bottom at 2.712; same story the next day, with a high above 2.865 and a low at 2.64, under the stop: another 1 R loss.
Two bearish candles
On October 31, 2024, LINK/USDT printed a big red candle: open 12.4, close 11.41. The sell stop at 11.31 triggered the next day, with a stop at 12.47 and a 2:1 target at 8.99; price fell to 10.07 but turned back up and hit the stop on November 7. On July 25, 2022, XLM/USDT printed a bearish candlestick with an open at 0.1132 and a close at 0.1058. The sell stop at 0.1055 triggered the next day and price dipped to 0.1023, then rallied through the stop at 0.1139 on July 28, for a 1 R loss, and XLM was 7.7% higher 10 days later.
Frequently asked questions about long line patterns
What does a big candle indicate in a downtrend?
In classical candlestick analysis, a big red candle in a downtrend is read as continuation; a big green one as a potential reversal. In our data, across all markets combined, neither color predicted the next 10 bars better than chance, and splitting white candles by the prior trend changed the result only slightly.
How long should a candle body be to be considered a long line?
In our rule, more than 1.3 times the average body of the previous 10 candles (1.6 times on a textbook candle), at least 0.6 times the largest of those 10, and 1.5 times that of the previous 50, with each shadow shorter than the recent average shadow. A stricter threshold, such as three times the average, makes the body longer and the signal rarer; we have not tested it.
Can the pattern be used in crypto trading?
Yes, it appears on crypto charts like on any other market. On daily crypto charts, the bullish trade reached its target in 37.6% of 14,225 trades against 34.4% on random dates, but its average result per trade did not beat random dates by a statistically significant margin. Over 10 bars, white candles on daily crypto beat random bars (49.1% higher against 45.0%), rated promising: not an established edge.
What is the difference between this candlestick and a wide-ranging bar?
A wide-ranging bar has a big distance between its high and low, whatever the open and close. This candlestick pattern needs a big open-to-close move relative to recent candles, with short wicks. A wide-ranging bar with big wicks does not qualify.
Are these candlesticks reliable signals?
Not on their own. Across all markets we tested, their direction did no better than random bars, apart from an unconfirmed gap on daily crypto, and on hourly charts they did worse.
How do I set stop-loss orders with the pattern?
Place the stop at a price beyond the other end of the candle: below the lower end of a bullish one, above the top of a bearish one. Size the trading position on that distance, which is wide because the candle is big.
Summary of key points
- A long line is a candle with a body bigger than the recent average and short wicks at both ends.
- On 402,234 daily bullish occurrences, 53.2% were higher 10 bars later, against 54.0% for random bars.
- The 2:1 trade averaged +0.08 R per trade on daily bullish candles (+0.09 R on random dates) and −0.13 R on bearish ones (−0.12 R on random dates), before costs.
- On hourly charts, both versions did worse than chance over 10 bars after correction.
- On all daily markets combined, the marubozu (its shaved version) and the patterns built from big candlesticks showed no confirmed edge either, and the marubozu has no confirmed row on any market or time frame.
Recommended reading for technical analysis
Steve Nison introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991); it is a reference for the names and shapes of these patterns. Many pattern references treat the two colors of this candle as separate patterns, as our bench does. To read the trend a candle sits in, see our free guides to the channel pattern and the flag pattern.
About the author and the data. This guide was 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, free to read, explains every step. Results are before fees and slippage, past results do not predict future ones, and nothing on this page is investment advice: every trade can lose money.
