How we tested this pattern
- Sample
- 20,443 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.After an uptrend: short body, lower shadow at least twice the body, very short upper shadow, range at least the average of the 10 previous candles.
- 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 · Raw data (JSON)
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At a glance: what textbooks say, what we measured
- Direction
- Bearish
- Occurrences tested
- 20,443 occurrences, all markets, daily
- Textbook: price should fall after it
- Too close to call · +0.09% vs the market, 10 bars
- Where it did best
- US stocks, daily: +0.06 R 2:1 trade vs random dates, not proven
- Verdict
- 10-bar move: No clear edge2:1 trade: No clear edge
On this page
- What is the hanging man candlestick pattern?
- Anatomy of a hanging man candle
- The psychology behind the hanging man
- How to identify the hanging man in an uptrend
- Hanging man vs. hammer: understanding the context
- Does the color of the candle matter?
- Hanging man vs. other bearish reversal patterns
- The role of confirmation
- Step-by-step guide to trading the hanging man
- Reliability: how often does the hanging man work?
- Real-world examples of the hanging man
- Risk management and avoiding common mistakes
- Pros and cons of the hanging man pattern
- Frequently asked questions
- Final thoughts on the hanging man
The hanging man candlestick pattern is a single candle with a small real body near the top of its range, a long lower shadow at least twice the size of the body and little or no upper shadow, printed after an uptrend. Classic candlestick analysis reads it as a warning of a potential bearish reversal: sellers were able to push price well down during the session, even if buyers brought it back before the close.
This guide covers the definition, how to identify a hanging man on a chart, how traders use it, and what a definition alone cannot tell you: what actually happened after it. Our test bench scanned full price history with a strict definition and detected 20,443 hanging man candles on daily charts alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random days on the same assets.
What is the hanging man candlestick pattern?
The hanging man is a one-candle bearish reversal pattern that appears at the top of an uptrend. Its name comes from its shape: a short body at the top and a long lower shadow hanging below it, like legs. It belongs to the same family of candlestick patterns as the hammer: the shape is identical, only the trend before it changes.
Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), describes it with three conditions: a real body at the upper end of the trading range, a lower shadow at least twice the height of the body, and little or no upper shadow. The candle must come after a rise. Nison also stresses that the hanging man needs bearish confirmation from the following session before it is treated as a signal.
Our bench writes these conditions as a rule a computer can apply without judgment: after an uptrend (the close before the candle is at least one average true range above the close 10 bars earlier, and in the upper half of the last 40 closes), a short body, a lower shadow at least twice as long, a very short upper shadow, and a range at least the average of the 10 previous candles. Sizes are relative to the 10 prior candles, as in the open-source TA-Lib library, but the rule itself differs: on the bars we compared, ours finds about 10% of the candles that library flags.
The chart below is not drawn by hand. It is the median shape of the clean hanging man candles our bench detected, with the faded candles showing the rise before it, and the lines of the position we test: entry below the low of the candle, stop-loss above its high, target at twice the risk.
Anatomy of a hanging man candle
- Very short upper wick
- Small body, top of the rangecolor does not matter
- Lower wick≥ 2 × body
Key identification criteria
- A prior uptrend: price has been rising into the candle.
- A small body in the upper part of the range, green or red.
- A long lower shadow, at least twice the length of the real body.
- Little or no upper shadow: the open or the close sits near the high of the session.
The role of the body and shadow size
The real body shows how far the open and the close are apart; the lower shadow shows how far sellers pushed price during the session. The longer the shadow compared with the body, the larger the intraday sell-off that was absorbed. On the median occurrence our bench found on daily charts, the whole candle spans 2.57% of price, or 1.10 times the average true range (ATR) of the asset. The typical hanging man is about the size of an average session.
A candle with both a long upper and a long lower shadow is not a hanging man. It is a spinning top or a high-wave candle, which signal indecision. With no body at all, the shape becomes a dragonfly doji.
The psychology behind the hanging man
The hanging man tells the story of one session inside a rally. Price opens near its high, then selling pressure appears and pushes it well down, sometimes below the prior close. Buyers step back in and lift price near the open by the end of the session. On the surface, the bulls held. But the long lower shadow shows that sellers, absent for the whole rise, were strong enough to move the market during the day. Classical analysis reads it as the first sign that demand is getting thinner at these prices.
That story is plausible, but it describes one candle. Whether one session of selling turns an uptrend is a question for data, and we come back to it in the reliability section below.
How to identify the hanging man in an uptrend
To identify a hanging man on a chart, check four points in order.
- The trend before it. There must be a rise to reverse. A simple test: the close before the candle is at least one average true range above the close 10 bars earlier, and in the upper half of the last 40 closes.
- The position. A hanging man at a new high of the move, or at a known resistance level, is the textbook case. One in the middle of a range carries little information.
- The shape. Measure the lower shadow against the body (twice at least) and check that the upper shadow is very short.
- The close. The pattern only exists once the candle has closed. Intraday, a bar can show a long lower shadow and then fall into the close, which makes it a different candle.
The hanging man is common, even with our strict definition, which leaves out many looser candles. On our data it shows up roughly once every 415 bars on daily charts, once every 734 on hourly charts and once every 356 on weekly charts.
Hanging man vs. hammer: understanding the context
The hanging man and the hammer are the same candle in different places. After a downtrend, the long lower shadow is read as buyers rejecting lower prices: that is the bullish hammer. After an uptrend, the same shadow is read as the first sign that sellers can push price down: that is the bearish hanging man. You cannot tell them apart on one candle alone. Look at the trend before it.
Their results differ too. On daily charts, the hammer setup reached its 2:1 target 35.4% of the time; the hanging man setup only 25.0%. Most of that gap comes from the direction of the trade, not from the candle: the same setups on random dates reached their target 36.1% of the time for the hammer and 24.1% for the hanging man, so neither stood out from its own random baseline: no clear edge for the hammer, no clear edge for the hanging man.
Does the color of the candle matter?
Color does not change the definition. A red hanging man (close below open) shows that the session ended slightly weaker. A green hanging man (close above open) means buyers closed slightly ahead. Both count in Nison's definition and in our statistics, which group the two colors together.
Hanging man vs. other bearish reversal patterns
Hanging man vs. shooting star
The shooting star also appears after an uptrend, but its long shadow is on top: a small body at the bottom of the range and a long upper shadow, showing that buyers pushed price up and lost it by the close. The hanging man closes near the high of the session; the shooting star closes near the low. That difference matters for the entry. A short entry below the low of the candle was triggered on 79.4% of daily shooting stars, against 25.7% of daily hanging man setups: after a hanging man, price more often went on to break the high first.
Hanging man vs. bearish engulfing
A bearish engulfing pattern uses two candles: a green candle, then a red candle whose body covers the whole previous body. It already contains its own confirmation, since the second candle closes below the first. On 88,464 daily occurrences, the bearish engulfing was followed by a lower price 10 days later 46.2% of the time, against 46.1% for random days: no edge either.
The role of confirmation
A hanging man closes near its high, so on its own it is still a bullish session. Nison asks for confirmation, and our data supports caution: on daily charts, only 47.2% of hanging man candles were followed by a lower price 10 days later. In other words, the uptrend continued more often than it reversed.
What a confirmation candle looks like
The classic confirmation is a bearish candle on the next session that closes below the body of the hanging man, ideally with a gap down at the open. A stricter version waits for a close below the low of the hanging man. Our bench uses a sell stop just below that low, which is a form of confirmation: no position is opened until sellers have broken the bottom of the candle.
Using technical indicators for signal filtering
Technical indicators can filter the signals: an overbought RSI, a bearish divergence, or a moving average to read the larger trend. We tested the 200-day moving average filter on daily charts. Above it, the setup reached its 2:1 target 24.7% of the time; below it, 26.8%. We also tested volume: hanging man candles with volume above 1.5 times the 20-day average reached the target 28.2% of the time, against 24.4% on normal volume. These breakdowns are descriptive (not corrected for the number of tests): high volume went with a higher hit rate, the long-term trend barely mattered. We have not tested an RSI filter.
Step-by-step guide to trading the hanging man
The classic hanging man strategy sells a break below the low of the candle, with a stop-loss above its high and a target set as a multiple of the risk. This is the position our bench simulates on every occurrence.
- 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.
Identifying the market trend
Start with the trend. The candle must come after a clear rise, ideally to a new high or into a resistance zone. On a higher timeframe, check whether the main trend is still up: a hanging man inside a strong weekly uptrend can be a pause rather than a top, a filter we have not measured.
Setting the entry point
There are two entries. The aggressive one sells at the close of the confirmation candle. The conservative one places a sell stop just below the low of the hanging man and waits for price to trade through it. In our tests on daily charts, that order was triggered in 25.7% of cases; in 74.3%, price broke the high of the candle first and the setup was canceled before any position was opened. The remaining setups touched neither level within the 20 bars our test allows.
Strategic stop-loss placement
Defining profit targets and exit strategies
The target our bench uses is twice the risk (a 2:1 reward-to-risk ratio). On daily charts, positions that reached that target took a median of 5 days. The next support level below price, or a rising moving average, is another reasonable exit.
Reliability: how often does the hanging man work?
The hanging man candlestick pattern is not a reliable signal on its own. On direction, it beat chance on no market or timeframe we tested: every row of the All measurements table with enough data reads No clear edge in the 10-bar move column. On the 2:1 trade, no row beat chance either, and on 4-hour charts, all markets together, the trade did worse than random entries, a gap that passes a simple test but not our correction. That table has two verdict columns: the 10-bar move verdict judges the direction 10 bars later, and the 2:1 trade verdict judges the setup against the same trade on random dates. Here are the numbers from our test bench.
Moved the expected way 10 bars later, compared with random bars.
Measured on 20,443 daily hanging man occurrences across 1,987 assets. Random bars on the same assets are the honest baseline.
No clear edgeHanging man 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
- ETFs
- Indices
- Commodities
All statistics
Full results for the hanging man 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.
Hanging man: 20,443 occurrences tested
Bearish pattern · All markets · Daily · 1,987 assets · 1970-10 to 2026-10
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 5,247 triggered entries
- Stop order beyond the pattern's extreme. 8 of these entries are not among the 5,239 trades: still open at the end of our data, or left out by the trade rules.
- Time to the 2:1 target, when hit
- 5 days · middle half 2 to 10 · on 1,311 trades that hit it
- Time to the stop, when hit
- 2 days · middle half 0 to 5 · on 3,917 trades that hit it
- Time in the trade, all exits
- 2 days · middle half 1 to 6 · on 5,239 trades
Size and trade path
- Pattern range, high to low
- 2.6% · middle half 1.8% to 3.7% · on 20,443 occurrences
- Range vs average bar (ATR)
- 1.10× · middle half 1.00× to 1.24× · on 20,443 occurrences
- Best open profit during the trade
- 0.55 R · middle half 0.00 R to 2.00 R · on 5,239 trades
- Stopped trades that were first up 1 R
- 18.3% · on 3,917 stopped trades
- Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
- Entry order triggered
- 25.7% · on 20,443 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: short body, lower shadow at least twice the body, very short upper shadow, range at least the average of the 10 previous candles. 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 | 19,612 | 51.3% | 50.5% | −0.02% | No clear edge |
| Forex · 1-hour | 3,350 | 51.8% | 49.1% | +0.01% | No clear edge |
| All markets · 1-hour | 22,962 | 51.4% | 50.3% | −0.02% | No clear edge |
| Crypto · 4-hour | 4,245 | 51.6% | 51.6% | +0.06% | No clear edge |
| Forex · 4-hour | 779 | 50.3% | 49.1% | −0.01% | No clear edge |
| All markets · 4-hour | 5,024 | 51.4% | 51.2% | +0.05% | No clear edge |
| Crypto · Daily | 566 | 54.4% | 54.6% | +0.16% | No clear edge |
| US stocks · Daily | 18,275 | 47.3% | 45.3% | +0.09% | No clear edge |
| ETFs · Daily | 857 | 42.3% | 42.6% | +0.18% | No clear edge |
| Indices · Daily | 523 | 40.4% | 42.2% | +0.06% | No clear edge |
| Forex · Daily | 76 | 56.6% | 47.5% | +0.27% | No clear edge |
| Commodities · Daily | 146 | 47.6% | 47.9% | −0.54% | No clear edge |
| All markets · Daily | 20,443 | 47.2% | 45.4% | +0.09% | No clear edge |
| Crypto · Weekly | 101 | 79.6% | 60.3% | −10.32% | Not enough data |
| US stocks · Weekly | 3,822 | 43.6% | 41.7% | +0.02% | No clear edge |
| ETFs · Weekly | 226 | 29.2% | 36.6% | −0.19% | No clear edge |
| Indices · Weekly | 148 | 39.2% | 36.8% | −0.02% | No clear edge |
| Forex · Weekly | 19 | 57.9% | 45.2% | −0.53% | Not enough data |
| Commodities · Weekly | 51 | 44.0% | 44.9% | +1.61% | No clear edge |
| All markets · Weekly | 4,367 | 43.6% | 41.7% | −0.21% | 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 | 4,945 | 19.9% | 22.1% | −0.40 R vs −0.33 R | No clear edge |
| Forex · 1-hour | 887 | 20.3% | 21.3% | −0.39 R vs −0.35 R | No clear edge |
| All markets · 1-hour | 5,832 | 20.0% | 22.0% | −0.40 R vs −0.33 R | No clear edge |
| Crypto · 4-hour | 988 | 19.4% | 24.9% | −0.41 R vs −0.25 R | No clear edge |
| Forex · 4-hour | 209 | 19.1% | 25.8% | −0.42 R vs −0.22 R | No clear edge |
| All markets · 4-hour | 1,197 | 19.4% | 25.1% | −0.42 R vs −0.24 R | Weak, below chance |
| Crypto · Daily | 120 | 30.8% | 17.9% | −0.08 R vs −0.37 R | No clear edge |
| US stocks · Daily | 4,678 | 25.0% | 24.0% | −0.25 R vs −0.28 R | No clear edge |
| ETFs · Daily | 254 | 22.0% | 24.3% | −0.37 R vs −0.27 R | No clear edge |
| Indices · Daily | 130 | 25.4% | 26.7% | −0.26 R vs −0.20 R | No clear edge |
| Forex · Daily | 19 | 26.3% | 27.8% | −0.21 R vs −0.17 R | Not enough data |
| Commodities · Daily | 38 | 26.3% | 50.0% | −0.26 R vs +0.39 R | No clear edge |
| All markets · Daily | 5,239 | 25.0% | 24.1% | −0.25 R vs −0.28 R | No clear edge |
| Crypto · Weekly | 28 | 32.1% | 12.3% | −0.04 R vs −0.58 R | Not enough data |
| US stocks · Weekly | 808 | 17.5% | 17.3% | −0.47 R vs −0.48 R | No clear edge |
| ETFs · Weekly | 35 | 20.0% | 17.0% | −0.40 R vs −0.43 R | No clear edge |
| Indices · Weekly | 26 | 30.8% | 22.5% | −0.08 R vs −0.32 R | Not enough data |
| Forex · Weekly | 2 | 50.0% | 0.0% | +0.50 R vs −1.00 R | Not enough data |
| Commodities · Weekly | 13 | 30.8% | 0.0% | −0.08 R vs −1.00 R | Not enough data |
| All markets · Weekly | 912 | 18.6% | 17.0% | −0.44 R vs −0.48 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 hanging man candlestick pattern is a reliable bearish reversal signal.”
What our data shows
On 20,443 daily occurrences, it moved in the expected direction 47.2% of the time, against 45.4% 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 timeframe | Occurrences (2:1 trades) | Lower 10 bars later | Random bars | 2:1 target hit | Same setup, random dates | Expectancy (R) |
|---|---|---|---|---|---|---|
| All markets, daily | 20,443 (5,239) | 47.2% | 45.4% | 25.0% | 24.1% | −0.25 vs −0.28 |
| US stocks, daily | 18,275 (4,678) | 47.3% | 45.3% | 25.0% | 24.0% | −0.25 vs −0.28 |
| Crypto, daily | 566 (120) | 54.4% | 54.6% | 30.8% | 17.9% | −0.08 vs −0.37 |
| Crypto, hourly | 19,612 (4,945) | 51.3% | 50.5% | 19.9% | 22.1% | −0.40 vs −0.33 |
| Crypto, 4-hour | 4,245 (988) | 51.6% | 51.6% | 19.4% | 24.9% | −0.41 vs −0.25 |
| Forex, hourly | 3,350 (887) | 51.8% | 49.1% | 20.3% | 21.3% | −0.39 vs −0.35 |
| All markets, weekly | 4,367 (912) | 43.6% | 41.7% | 18.6% | 17.0% | −0.44 vs −0.48 |
Read the table in pairs of columns. On daily charts, 47.2% of hanging man candles were followed by a lower price 10 days later, against 45.4% for random days on the same assets. The excess move in the expected direction is +0.09%, with a 95% confidence interval from −0.01% to +0.20%. Zero is inside the interval: no clear edge on direction.
The 2:1 setup tells the same story. On daily charts it reached its target 25.0% of the time, against 24.1% for the same entry, stop-loss and target distances on random dates. That difference does not survive our correction for multiple testing: no clear edge. And the expectancy stays negative: −0.25 R per position before costs, against −0.28 R at random. The setup lost money, and its timing was not measurably better than chance. One reason for the losses: on daily charts, losing positions were stopped out fast (the median time to the stop is 2 bars), and our rules count the loss when the stop and the target are touched in one bar.
Is the hanging man reliable in forex?
On 3,350 hourly occurrences across 25 currency pairs since 2012, of which 887 opened a trade, the setup reached its target 20.3% of the time against 21.3% on random dates, with an expectancy of −0.39 R against −0.35 R. The two are almost identical, a row rated no clear edge, and the setup still lost before costs.
Effectiveness in stocks and crypto
On US stocks (18,275 daily occurrences on 1,610 companies since 1970), the result matches the all-markets line. On crypto (19,612 hourly occurrences on 581 coins since 2017, 4,945 trades), the setup reached its target 19.9% of the time against 22.1% on random dates; its average result per trade was worse than at random (−0.40 R against −0.33 R), a gap that does not pass our statistical test. In the 2:1 trade verdict column, this hourly crypto row reads No clear edge, and so does daily crypto, on far fewer trades (120), like US stocks. The All measurements table, with every market, timeframe and verdict, is in the statistics section of this page, and the method is published in our methodology.
Real-world examples of the hanging man
The gallery of this section shows real hanging man candles, picked by our bench (best and worst results, textbook shapes, most recent cases and typical draws), with their actual outcome. The cases written up below come from daily crypto charts. In these cases, no position was opened: each time, price broke the high of the candle before its low, the most common outcome on daily charts.
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 and ETF prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 16 cards: 13 with a shape that does not read as the definition on this page, 1 with a single bar so large that the pattern or the trade levels could not be read, 2 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.
Canceled, and rightly so. On February 9, 2020, LINK/USDT printed a hanging man with a high at 3.4984 and a low at 3.233. Price broke the high before the low, so the sell stop was never triggered and the setup was canceled. The rally went on: LINK was 25.5% higher 10 days after the candle, a move that would have stopped out any early short.
Canceled, then right. On March 15, 2024, BNB/USDT printed a hanging man (high 635.2, low 540.9). Price traded above the high before breaking the low, so our bench opened no position. BNB then fell and was 7.2% lower 10 days later: the direction was right, but the trade never existed.
A small rise after a cancel. On March 3, 2024, ADA/USDT printed a hanging man (high 0.7421, low 0.685). The high broke first, so the setup was canceled without a position, and ADA was 4.9% higher 10 days later.
Risk management and avoiding common mistakes
Trading without confirmation
Ignoring the prior trend context
Without a prior rise, the shape is a hammer or just a candle with a long lower shadow, not a hanging man. And a hanging man against a strong weekly uptrend fights the main trend.
Misinterpreting false signals
A hanging man that is canceled, or stopped out, is not a mistake: it is the most common outcome. The mistake is to remember only the tops that it marked. Looking back at a chart, the hanging man candles that worked are easy to see and the ones that failed are easy to forget. That is why our bench counts every occurrence its rule finds.
Pros and cons of the hanging man pattern
- Pro: easy to identify, one candle with clear conditions.
- Pro: clear risk, with the stop-loss above the high of the candle.
- Con: the 2:1 setup did not beat random dates after correction on any market or timeframe (no clear edge on daily charts), and on 4-hour charts it did worse than random entries (weak, below chance, not confirmed by our correction).
- Con: on direction alone, it does not beat chance after correction on any market or timeframe we tested.
- Con: on daily charts, 74.3% of setups are canceled before entry, and the expectancy of the setup is negative before costs.
Frequently asked questions
Is the hanging man pattern always bearish?
By definition, yes: it is a bearish reversal signal at the top of an uptrend. In our data, only 47.2% of daily hanging man candles were followed by a lower price 10 days later, so treat it as a warning, not as a forecast.
Can a hanging man appear in a downtrend?
No. The same shape in a downtrend is a hammer, a bullish reversal candle. The trend before the candle decides its name.
How reliable is the hanging man signal?
Not very. On 20,443 daily occurrences, 47.2% were followed by a lower price 10 days later, against 45.4% for random days. The 2:1 setup was not measurably better than chance (no clear edge) and kept a negative expectancy before costs.
What makes the hanging man different from a doji?
A doji has almost no body: open and close are nearly equal, and it signals indecision. A hanging man has a small but real body near the top of the range and a lower shadow at least twice as long, after a rise.
Final thoughts on the hanging man
- A hanging man has a small body at the top, a lower shadow at least twice as long and little or no upper shadow, after an uptrend.
- The same candle after a downtrend is a hammer.
- On 20,443 daily occurrences, 47.2% were followed by a lower price 10 days later, against 45.4% for random days.
- The 2:1 setup reached its target 25.0% of the time against 24.1% on random dates, but its expectancy was −0.25 R before costs.
If you trade the hanging man, treat it as a place to look for a short position, not as a reason for one. Wait for the break of its low, put the stop-loss above its high before entry, size the position on that distance, and keep the risk small.
About the author and the data. Written by Amaury, founder of PatternsWizard, who is passionate about finance, quantitative trading and data analysis. He built the PatternsWizard test bench, which 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.
