The inverted hammer candlestick is a single candlestick with a small body near the bottom of its range and a long upper shadow at least twice the size of the body, printed after a downtrend. Classical candlestick analysis (Nison) reads it as a potential bullish reversal: buyers tried to push price higher during the session, and even if sellers brought it back down by the close, the selling pressure is weakening. It is a classic of candlestick technical analysis, used in stock market, forex and crypto trading.

This guide covers the definition, how to identify an inverted hammer pattern on a chart, how to trade it with entry, stop and target, and what actually happened after the pattern in each market. Our test bench scanned full price history with a strict rule and detected 11,620 on daily charts alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random bars on the same assets.

What is an inverted hammer candlestick?

The inverted hammer candlestick pattern is a one-candle bullish reversal pattern that appears at the end of a downtrend. It looks like a hammer turned upside down: a short body at the bottom (the head) and a long upper wick above it (the handle). It belongs to the family of Japanese reversal patterns described for Western traders by Steve Nison in Japanese Candlestick Charting Techniques (1991).

Three conditions define the inverted hammer candlestick pattern:

a small real body near the low of the session;
a long upper shadow, at least twice the size of the body;
little or no lower shadow.

The candlestick must come after a downtrend. The same shape after a rally is a different candlestick pattern, the shooting star, which is read as bearish.

Our bench writes this rule so a computer can apply it without judgment: after a downtrend (the close before the candle is at least one average true range below the close 10 bars earlier, and in the lower half of the last 40 closes), a short body, an upper shadow at least twice the body, a very short lower 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.

How to identify the inverted hammer pattern

To identify an inverted hammer candlestick pattern on a chart, check the trend first, then the shape of the candlestick, then where it sits in the market.

Long upper shadowat least 2 × the body
Short body
Very short lower shadow

Median shape of 1,652 daily occurrences drawn at random from all markets, those with the candle colors drawn here (55% of the 3,000 drawn), found by our test bench.

Key structural characteristics

Every key point below can be checked on the candle itself or on the chart just before it:

Prior trend: price has been falling. Without a downtrend, the pattern has no reversal to signal.
Small body: the distance between the open and the close is short compared with recent candles, and sits in the lower part of the range.
Long upper shadow: at least twice the body. It shows how far buyers were able to push price during the session.
Little or no lower shadow: the low of the session is close to the open or the close.

On the median occurrence our bench found on daily charts, the whole inverted hammer candlestick spans 3.40% of price, or 1.10 times the average true range (ATR) of the asset. The typical inverted hammer pattern is not a large candlestick: its range is about the size of a typical recent session.

Visual representation on a chart

The chart below is not drawn by hand. It is the median shape of the clean inverted hammer candlestick patterns our bench detected on daily charts across all markets, with the faded candles showing the downtrend before the pattern, and the lines of the trade we test: entry above the high of the inverted hammer, stop below its low, target at twice the risk.

Bullish setup on the median shape of 1,652 daily occurrences drawn at random from all markets, with entry, stop loss (SL) and 2:1 target (TP)

Market psychology behind the inverted hammer

The inverted hammer pattern tells the story of one session at the end of a decline, and of a shift in market sentiment. Price opens near the low, buyers step in and push it well higher, then sellers take it back down before the close. The long upper shadow is the trace of that attempt. The candlestick closes near where it opened, so on its own the session is not a win for buyers.

Why does the classical reading call it bullish, then? Because after a run of sessions where sellers controlled the whole range, buyers have shown they can lift price. The inverted hammer appears where selling pressure may be running out, and a confirmation candle the next day shows whether buyers can finish the job. That story is plausible, but it describes one candlestick. Whether it shifts the market trend is a question for data, and we answer it in the reliability section below.

How bullish is the inverted hammer? A first look at the data

The inverted hammer is a bullish reversal signal by definition. In practice, our data shows it as a weak signal of direction. On daily charts, 54.8% of inverted hammers were followed by a higher price 10 days later, against 53.0% for random days on the same assets. The excess return over the rest of the market after 10 days is +0.27%, with a 95% confidence interval from +0.04% to +0.52%: zero is just outside the interval, but the result does not survive our correction for multiple testing, so the row is rated promising: a lead, not an established edge.

The trading setup is a different story. Buying the break of the high of the inverted hammer reached its 2:1 target in 30.7% of 3,241 trades on daily charts, against 31.1% for the same trade on random dates. That gap is too small for our tests to count as an edge, and the expectancy is still negative, at −0.08 R per trade before costs (against −0.08 R on random dates). Losing about as much as on random dates is not the same as profitable: the statistics card in the Reliability and success rates section rates this 2:1 trade No clear edge, because the gap with random dates is not significant. The trade also lost money on average, but that is not what the verdict rests on: it compares the trade with the same trade on random dates.

Where it fits among reversal signals

Candlestick reversal signals come in one-, two- and three-candle forms. The inverted hammer is a one-candle reversal formation, which is why it needs a confirmation candle. Two-candle reversal patterns such as the bullish engulfing, or three-candle reversal patterns such as the morning star, include part of that confirmation in their own structure. On daily charts, the morning star trade hit its 2:1 target in 40.6% of 2,366 trades against 34.2% on random dates (expectancy +0.29 R), a difference our bench did not count as an edge either, while the inverted hammer trade lost money on average.

Green vs. red inverted hammer: does color matter?

Color does not change the definition. A green inverted hammer (close above open) shows buyers held a small part of their gains; a red one shows the close just below the open. Our published statistics count both colors together: we have no separate figures by color, so we cannot tell you whether the green version performs better.

Inverted hammer vs. shooting star: key differences

The inverted hammer and the shooting star are the same candlestick pattern in different places of the market: small body at the bottom, long upper shadow, little or no lower shadow. Only the trend before the pattern tells them apart.

Candle (daily, all markets)	Prior trend	Expected move	Closed trades	2:1 target hit	Same trade, random dates	Expectancy
Inverted hammer	Downtrend	Up	3,241	30.7%	31.1%	−0.08 R
Shooting star	Uptrend	Down	13,189	28.8%	29.7%	−0.14 R
Hammer	Downtrend	Up	12,005	35.4%	36.1%	+0.06 R
Hanging man	Uptrend	Down	5,239	25.0%	24.1%	−0.25 R

After an uptrend, the long upper wick is read as buyers failing at higher prices, which is bearish: that is the shooting star. After a downtrend, the same wick is read as the first attempt by buyers, which is bullish: that is the inverted hammer. The shooting star trade (entry below its low) showed no measurable difference from chance on daily charts.

Inverted hammer vs. hammer and hanging man

The hammer is the other bullish one-candle reversal: a small body at the top and a long lower shadow, after a downtrend. Its long lower wick shows selling pressure was rejected during the session, a stronger story than the inverted hammer, where buyers were pushed back. The hanging man has the hammer shape after a rally, and is bearish. The inverted hammer and the hanging man are therefore not twins: they differ in shape and in trend. A gravestone doji has the same long upper shadow with no body at all, and our bench treats it as indecision.

How to trade the inverted hammer: step-by-step strategy

The classic inverted hammer candlestick trading strategy buys a break above the high of the candlestick, with a stop loss below its low and a target set as a multiple of the risk. This is the trade our bench simulates on every occurrence, with a buy stop valid 20 bars.

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 1,652 daily occurrences drawn at random from all markets, those with the candle colors drawn here (55% of the 3,000 drawn).

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.

TextbookVZ December 16, 2013Daily chart1.8% in the expected direction after 10 bars2:1 trade: invalidated before entry

Identifying the setup in a downtrend

Start with the trend: the close before the candle should be at least one average true range below the close 10 bars earlier, and in the lower half of the last 40 closes. This is the first of the key trading signals: no downtrend, no setup. Then look for the inverted hammer at a level that matters: a prior swing low, a support zone, a round number or a moving average. Classical candlestick analysis (Nison) gives more weight to an inverted hammer at a support level than to one in the middle of a range; our bench does not test that difference.

The importance of confirmation candles

Setting entry and stop-loss levels

A tighter entry buys the close of a confirmation candle, with the stop still under the low of the inverted hammer. It enters earlier but with less confirmation.

Defining profit targets

The target we test is twice the risk (a 2:1 reward-to-risk ratio); the next resistance level above price is another choice. In our tests, trades that reached the 2:1 target did it fast: a median of 6 bars after entry. Trades that failed did it even faster: the median time to the stop was 2 bars after entry, and about 30% of stopped trades were hit on the entry bar itself. Of the trades that hit their stop, only 18.0% had first been up 1 R, so moving the stop to break-even after +1 R saves little.

Advanced confirmation techniques

Technical analysis offers several ways to check whether the candle signals a potential bullish reversal or only a pause in the downtrend. One or more of these filters can be added to judge whether a potential bullish reversal is worth a trade.

Using volume to validate the reversal

A classic filter wants higher volume on the inverted hammer than on the prior sessions, as a sign that buying interest is real. We measured it: on daily charts, inverted hammers with volume above 1.5 times the 20-bar average reached the 2:1 target 30.8% of the time, against 30.6% on normal volume, with expectancies of −0.07 R and −0.08 R. Practically no difference. This breakdown is descriptive (not corrected for multiple testing).

Integrating support and resistance levels

An inverted hammer candlestick at a support level combines two reasons to expect buying: a price where buyers acted before, and a candle showing them active again. Resistance matters too: if the next level above is closer than twice the risk, the 2:1 target is unrealistic. We have not measured support levels on our bench, because they depend on how each trader draws them.

Combining with oscillators like RSI or MACD

Momentum indicators are the third filter. One rule is to take the inverted hammer only when the RSI is oversold (below 30), or when the MACD shows a bullish divergence. We have not tested these filters. What we did test is the larger trend: above the 200-day moving average, the 2:1 target was hit 30.5% of the time; below it, 30.9%. The long-term trend did not change the result.

Common mistakes when trading the inverted hammer

Buying at the close of the candlestick. On daily charts, 72.0% of inverted hammers broke their low before their high.
Ignoring the trend. Without a downtrend, the shape is not an inverted hammer; after a rally, it is a shooting star.
Placing the stop on the body. The low of the inverted hammer is the level that proves the setup wrong.
Sizing on the body instead of the full range. The risk is the distance from the high to the low.
Trading every one. On daily charts, one inverted hammer appears every 730 bars on average per asset: on a watchlist of 500 stocks, that means about one signal every day or two. Taken one by one, they predicted direction only a little better than chance, without a proven edge.

Advantages and disadvantages of the pattern

Benefits of using the inverted hammer

Easy to spot: one candlestick, three clear conditions, after a downtrend.
Common in every market, so trading signals are frequent.
Clear risk: entry above the high, stop below the low.
Its direction 10 bars later was a little better than random bars on daily charts across all markets, rated promising in the table: a lead to test, not a proven edge.

Potential risks and limitations

The expectancy of its trade was negative before fees on every row of the All measurements table except daily commodities and weekly indices, the latter on only 7 trades, too few to read.
On daily charts, 72.0% of setups were invalidated before entry.
When the trade does enter, the median losing trade is stopped 2 bars after entry.
No row shows a proven edge on direction. All markets combined on daily and hourly charts, hourly crypto, daily commodities, daily indices and forex on every timeframe are rated promising: a positive result that does not survive our correction for multiple testing, except on hourly forex, which survives it but turns slightly negative after trading costs (−0.01%). Daily commodities rest on only 122 cases.

Reliability and success rates

The inverted hammer candlestick pattern is not reliable as a stand-alone trading signal. The statistics card in this section rates the daily 2:1 trade, across all markets, No clear edge: that trade did about as well as the same trade on random dates, a hair worse, by a margin our tests do not separate from chance, and its expectancy is −0.08 R per trade before costs. It does not make money. Here are the numbers from our test bench, which scans full price history for inverted hammers and compares the result with random bars on the same assets. The trade buys the break above the high, with the stop below the low and the target at twice the risk.

54.8%vs 53.0% at random

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

Measured on 11,620 daily inverted hammer occurrences across 2,083 assets. Random bars on the same assets are the honest baseline.

Promising

Inverted hammer 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 laterInverted hammerRandom bars

All markets
All markets, Inverted hammer: 54.8%
All markets, Random bars: 53.0%
Crypto
Crypto, Inverted hammer: 48.5%
Crypto, Random bars: 43.1%
US stocks
US stocks, Inverted hammer: 55.6%
US stocks, Random bars: 53.9%
Forex
Forex, Inverted hammer: 51.1%
Forex, Random bars: 49.7%
ETFs
ETFs, Inverted hammer: 50.0%
ETFs, Random bars: 56.4%
Indices
Indices, Inverted hammer: 58.6%
Indices, Random bars: 57.4%
Commodities
Commodities, Inverted hammer: 61.2%
Commodities, Random bars: 52.0%

2:1 trade hit its targetInverted hammer tradeSame trade, random dates

All markets
All markets, Inverted hammer trade: 30.7%
All markets, Same trade, random dates: 31.1%
Crypto
Crypto, Inverted hammer trade: 24.6%
Crypto, Same trade, random dates: 28.3%
US stocks
US stocks, Inverted hammer trade: 30.9%
US stocks, Same trade, random dates: 30.9%
Forex
Forex, Inverted hammer trade: 32.6%
Forex, Same trade, random dates: 31.3%
ETFs
ETFs, Inverted hammer trade: 27.6%
ETFs, Same trade, random dates: 35.0%
Indices
Indices, Inverted hammer trade: 32.6%
Indices, Same trade, random dates: 48.5%
Commodities
Commodities, Inverted hammer trade: 51.3%
Commodities, Same trade, random dates: 26.7%

All statistics

Full results for the inverted hammer 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

Promising, not proven yet. It does better than the baseline, but not in every check.

10-bar move Promising2:1 trade No clear edge

Inverted hammer: 11,620 occurrences tested

Bullish pattern · All markets · Daily · 2,083 assets · 1970-03 to 2026-10

Moved the expected way after 10 bars

54.8%

vs 53.0% on random bars

Excess return vs its market, 10 bars

+0.27%

95% interval +0.04% to +0.52%

2:1 trade hit the target

30.7%

vs 31.1% for the same trade on random dates

Average result per trade

−0.08 R

vs −0.08 R on random dates

What this means. A difference shows up (p < 0.05), but 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 2 · on 3,243 triggered entries; Stop order beyond the pattern's extreme. 2 of these entries are not among the 3,241 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit: 6 days · middle half 3 to 12 · on 994 trades that hit it
Time to the stop, when hit: 2 days · middle half 0 to 5 · on 2,239 trades that hit it
Time in the trade, all exits: 3 days · middle half 1 to 7 · on 3,241 trades

Size and trade path

Pattern range, high to low: 3.4% · middle half 2.4% to 5.3% · on 11,620 occurrences
Range vs average bar (ATR): 1.10× · middle half 1.00× to 1.25× · on 11,620 occurrences
Best open profit during the trade: 0.71 R · middle half 0.06 R to 2.07 R · on 3,241 trades
Stopped trades that were first up 1 R: 18.0% · on 2,239 stopped trades; Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered: 27.9% · on 11,620 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 a downtrend: short body, upper shadow at least twice the body, very short lower 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?

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.
Market	Occurrences	Pattern	Random bars	Excess	10-bar move verdict
Crypto · 1-hour	20,494	49.3%	47.8%	+0.05%	Promising
Forex · 1-hour	3,119	53.7%	50.5%	+0.02%	Promising
All markets · 1-hour	23,613	49.9%	48.2%	+0.04%	Promising
Crypto · 4-hour	4,483	44.2%	46.9%	−0.16%	No clear edge
Forex · 4-hour	736	53.3%	50.4%	+0.06%	Promising
All markets · 4-hour	5,219	45.5%	47.4%	−0.13%	No clear edge
Crypto · Daily	1,025	48.5%	43.1%	+0.93%	No clear edge
US stocks · Daily	9,831	55.6%	53.9%	+0.19%	No clear edge
ETFs · Daily	316	50.0%	56.4%	−0.23%	No clear edge
Indices · Daily	140	58.6%	57.4%	+0.83%	Promising
Forex · Daily	186	51.1%	49.7%	+0.37%	Promising
Commodities · Daily	122	61.2%	52.0%	+1.60%	Promising
All markets · Daily	11,620	54.8%	53.0%	+0.27%	Promising
Crypto · Weekly	175	36.4%	34.9%	−1.72%	Not enough data
US stocks · Weekly	1,256	57.5%	56.8%	+0.30%	No clear edge
ETFs · Weekly	71	71.4%	60.5%	+2.53%	No clear edge
Indices · Weekly	33	57.6%	60.8%	−1.36%	No clear edge
Forex · Weekly	41	75.0%	49.2%	+2.52%	Promising
Commodities · Weekly	24	40.9%	52.9%	+2.28%	Not enough data
All markets · Weekly	1,600	56.0%	54.4%	+0.22%	No clear edge

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
Market	Trades	Target hit	Same trade, random dates	Per trade	2:1 trade verdict
Crypto · 1-hour	5,219	22.0%	24.8%	−0.33 R vs −0.25 R	No clear edge
Forex · 1-hour	870	19.8%	21.5%	−0.41 R vs −0.36 R	No clear edge
All markets · 1-hour	6,089	21.7%	24.3%	−0.35 R vs −0.26 R	No clear edge
Crypto · 4-hour	996	25.5%	25.6%	−0.23 R vs −0.23 R	No clear edge
Forex · 4-hour	177	23.7%	26.5%	−0.29 R vs −0.21 R	No clear edge
All markets · 4-hour	1,173	25.2%	25.7%	−0.24 R vs −0.23 R	No clear edge
Crypto · Daily	199	24.6%	28.3%	−0.26 R vs −0.13 R	No clear edge
US stocks · Daily	2,812	30.9%	30.9%	−0.07 R vs −0.08 R	No clear edge
ETFs · Daily	105	27.6%	35.0%	−0.27 R vs +0.06 R	No clear edge
Indices · Daily	43	32.6%	48.5%	−0.07 R vs +0.48 R	No clear edge
Forex · Daily	43	32.6%	31.3%	−0.02 R vs −0.07 R	No clear edge
Commodities · Daily	39	51.3%	26.7%	+0.59 R vs −0.22 R	No clear edge
All markets · Daily	3,241	30.7%	31.1%	−0.08 R vs −0.08 R	No clear edge
Crypto · Weekly	41	19.5%	29.2%	−0.41 R vs −0.13 R	Not enough data
US stocks · Weekly	297	30.6%	32.6%	−0.09 R vs −0.02 R	No clear edge
ETFs · Weekly	12	16.7%	26.4%	−0.50 R vs −0.21 R	Not enough data
Indices · Weekly	7	57.1%	50.0%	+0.71 R vs +0.50 R	Not enough data
Forex · Weekly	9	33.3%	20.8%	0.00 R vs −0.38 R	Not enough data
Commodities · Weekly	7	14.3%	33.3%	−0.57 R vs 0.00 R	Not enough data
All markets · Weekly	373	29.2%	32.0%	−0.13 R vs −0.04 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 inverted hammer candlestick pattern is a reliable bullish reversal signal.”

What our data shows

On 11,620 daily occurrences, it moved in the expected direction 54.8% of the time, against 53.0% for random bars: its average excess return over the rest of the market passes a simple test but does not survive our correction.

Table quoted in the text (verdicts and every market: see All measurements)

Market and timeframe	Inverted hammers	Entry triggered	Higher 10 bars later	Random bars	Closed trades	2:1 target hit	Same trade, random dates	Expectancy (random)
All markets, daily	11,620	27.9%	54.8%	53.0%	3,241	30.7%	31.1%	−0.08 R (−0.08 R)
US stocks, daily	9,831	28.6%	55.6%	53.9%	2,812	30.9%	30.9%	−0.07 R (−0.08 R)
Crypto, daily	1,025	19.6%	48.5%	43.1%	199	24.6%	28.3%	−0.26 R (−0.13 R)
Crypto, hourly	20,494	25.5%	49.3%	47.8%	5,219	22.0%	24.8%	−0.33 R (−0.25 R)
Forex, hourly	3,119	27.9%	53.7%	50.5%	870	19.8%	21.5%	−0.41 R (−0.36 R)
Commodities, daily	122	32.0%	61.2%	52.0%	39	51.3%	26.7%	+0.59 R (−0.22 R)
All markets, weekly	1,600	23.3%	56.0%	54.4%	373	29.2%	32.0%	−0.13 R (−0.04 R)

Read the table in pairs of columns. The direction columns compare the share of inverted hammers followed by a higher price 10 bars later with the share of random bars on the same assets. The gap is small on most markets. On all markets combined on daily and hourly charts, hourly crypto, daily indices, daily commodities and forex on every timeframe, it passes a simple test without surviving our correction for multiple testing (hourly forex survives it, then turns negative after costs): those rows read Promising, not a proven edge. The trade columns compare the 2:1 trade with the same entry, stop and target distances on random dates. There no row shows an edge: every trade row is rated no clear edge, or has too few trades to be rated. On hourly crypto and hourly forex, the trade even hit its target less often than on random dates. On almost every row the expectancy stays negative: the trade does not make money.

Commodities on daily charts give the strongest numbers. The excess return over the rest of the market after 10 days was +1.60% (95% confidence interval +0.03% to +3.00%), the largest of the daily rows, but it does not survive our correction for multiple testing: the row is rated promising. The trade showed an expectancy of +0.59 R against −0.22 R on random dates, on only 39 trades, a gap our tests do not count as an edge. With 122 occurrences on 17 assets, it is a small sample: treat it as a lead to test, not a rule. Commodity results come from continuous futures that are not adjusted at contract rolls, so a few trades span a price jump between two contracts.

Why is the expectancy negative on most other markets? The stop is close in volatility terms (the median pattern spans 1.10 ATR), and when one bar touches both the entry and the stop, our bench counts the loss. This conservative rule weighs on a pattern with such a close stop, which is why we compare it with the same trade on random dates rather than with zero.

What the breakdowns show

Volume: 30.8% of 2:1 targets hit with high volume, 30.6% without (daily charts).
200-day moving average: 30.5% above, 30.9% below.
Horizon: the next bar was higher 52.6% of the time, against 50.3% for random bars; after 20 bars, 56.5% against 53.8%. These horizon figures are descriptive, outside the tests behind our verdicts.
Stability: the excess return after 10 days was +0.25% in the first half of the history and +0.29% in the second half.

These breakdowns are descriptive and not corrected for multiple testing. The full table, with every market, timeframe and verdict, is in the statistics section of this guide. The method is published in our methodology.

Using the inverted hammer across different time frames

The inverted hammer appears on every timeframe and in every market. Hourly charts suit day trading, daily charts swing trading and weekly charts position trading. On our data it shows up about once every 714 bars on hourly charts, once every 730 on daily charts and once every 971 on weekly charts. Its behavior is similar across them: the entry triggered in 25.8% of hourly, 27.9% of daily and 23.3% of weekly setups, and the expectancy was negative on all three. Weekly charts showed no advantage over random dates (29.2% of targets hit on 373 trades, against 32.0%). On hourly charts, the move to the target is small, so fees and spreads weigh more on each trade, and the trading signals are more frequent but noisier.

Case studies of the inverted hammer in action

The cases written up below are daily crypto detections from our bench, with their actual outcome. The Real examples section shows other cases.

Example 1: a confirmed reversal

On April 3, 2026, ATOM/USDT printed an inverted hammer candlestick after a decline, with a high at 1.729 and a low at 1.665. Three days later, on April 6, price traded above the high, triggering the entry. With the stop at 1.665, the 2:1 target was 1.857; it was reached on April 17, and ATOM was 5.4% higher 10 days after the candle.

Confirmation does not guarantee the result. On August 4, 2023, AAVE/USDT printed an inverted hammer with a high at 66.99 and a low at 62.76. The buy stop was triggered on August 7, price climbed to 69.56 on August 10, short of the target at 75.45, then fell through the stop on August 15: a full 1 R loss.

Example 2: setups invalidated before entry

On May 6, 2026, XLM/USDT printed an inverted hammer with a high at 0.1662 and a low at 0.1597. The next day price fell to 0.1575, below that low, before ever trading above the high: the setup was canceled without a trade, and the market was 6.1% lower 10 days later.

The rule also costs good trades. On February 21, 2022, ETH/USDT printed an inverted hammer with a high at 2,759.51 and a low at 2,558. The next day price dipped to 2,500, canceling the setup, then rallied to 3,043.91 on March 2. A trader following the rule missed that move, and ETH was 10.4% higher 10 days after the candle.

Tools and trading platforms for spotting the pattern

Trading platforms and charting tools with a candlestick scanner can look for the pattern, and the open-source TA-Lib library provides a CDLINVERTEDHAMMER function. Our rule is stricter than common usage: on candle shape alone, it finds about 12% of the occurrences of that function, so a scanner built on it will flag far more candles than our tables count. Check which definition your tool uses: thresholds for a "small body" and a "long shadow" differ, and so do the trading signals. Before trading the pattern with real money, open a demo account, mark the last fifty inverted hammer patterns on your market chart, write down the entry, stop and target you would have used, and compare the outcome with the same trade on random days. That exercise is the test we run at scale, and it gives you information no general guide can: how the pattern behaves in your own market.

Frequently asked questions

Is the inverted hammer a guaranteed buy signal?

No. It is a potential bullish reversal signal that needs confirmation. On daily charts, 72.0% of inverted hammers broke their low before their high, and the trade that did enter had a negative expectancy of −0.08 R before costs.

Why does my stop-loss keep getting hit?

Because the stop under the low of an inverted hammer is close, and price comes back to it quickly: in our tests, the median losing trade was stopped 2 bars after entry, and about 30% of stopped trades on the entry bar itself. Wait for a confirmation close above the high, or accept a wider stop with a smaller position.

Can the inverted hammer be used for crypto trading?

Yes, the pattern works the same way in crypto trading, but our results on that market lost money in absolute terms. On hourly crypto charts (20,494 occurrences on 583 coins since 2017, 5,219 closed trades), the trade hit its 2:1 target 22.0% of the time against 24.8% on random dates, with an expectancy of −0.33 R against −0.25 R: slightly worse than chance, a gap that is not significant. On daily crypto charts, the hit rate was lower than on random dates (24.6% against 28.3%), and the gap in average result per trade was not significant.

What does the inverted hammer candlestick pattern mean?

It means buyers tried to push price higher after a downtrend and were pushed back before the close. In technical analysis it is read as an early sign that selling pressure is fading, to be confirmed by the next candles: on its own, it signals a potential bullish reversal, not a trend change.

Is a green upside down hammer bullish?

A green inverted hammer closes above its open, a red one just below it. Both count as an inverted hammer, and we do not have separate statistics by color, so we cannot say whether the green one is more bullish.

Is the inverted hammer the same as a shooting star?

Same shape, opposite context. After a downtrend it is an inverted hammer (bullish); after an uptrend it is a shooting star (bearish).

Summary of key points

An inverted hammer has a small body at the bottom, an upper shadow at least twice as long and little or no lower shadow, after a downtrend.
The same candlestick after a rally is a shooting star.
On 11,620 daily occurrences, 54.8% were higher 10 days later, against 53.0% for random days, an average excess return of +0.27% rated promising: not a proven edge on direction.
Only 27.9% of daily setups triggered the buy stop above the high; the trade reached its 2:1 target in 30.7% of 3,241 trades against 31.1% on random dates, with a negative expectancy of −0.08 R before costs.
Volume and the 200-day moving average changed the results only slightly.

Final thoughts on risk management

If you trade the inverted hammer candlestick pattern, treat it as an early warning, not as a reason to buy. Wait for a break above the high, place the stop below the low, size the position on the full range of the candle, and risk a small, fixed share of your trading account on each trade. Keep a trading journal of every signal you take, winners and losers, so your own analysis of the pattern rests on complete information. Our data shows a pattern whose direction is at best a little better than chance, without a proven edge, and whose trade still loses money before costs: any edge has to come from what you combine it with.

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.

How we tested this pattern

Every pattern's results on one sheet