Pattern direction

CandlestickBullish kickingBearish kicking

Kicking Candlestick Pattern: How the Kicker Works and What Our Tests Show

Two full-bodied candles of opposite colors with a gap between them: the kicker. Here is how to spot both versions, trade them and see how each one did against random dates.

· Founder of PatternsWizard
Updated Statistics updated 16 min read
Bullish kicking patternBearish kicking pattern

Schematic drawing of the rule, not measured data.

How we tested this pattern

Sample
36 occurrences on 4 markets (US stocks, ETFs, indices and commodities), 1991 to 2025.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.bullish kicking pattern: A black marubozu followed by a white marubozu that gaps above it. Any gap counts, even one tick. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them.bearish kicking pattern: A white marubozu followed by a black marubozu that gaps below it. Any gap counts, even one tick. 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 · bullish kicking pattern data (JSON) · bearish kicking pattern data (JSON)

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At a glance: what textbooks say, what we measured
Pattern
Bullish kicking
Occurrences tested
14 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · +1.99% vs the market, 10 bars
Verdict
10-bar move: Not enough data2:1 trade: Not enough data
Pattern
Bearish kicking
Occurrences tested
22 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · −1.79% vs the market, 10 bars
Verdict
10-bar move: Not enough data2:1 trade: Not enough data

See the statistics

On this page
  1. What is the kicker candlestick pattern?
  2. The mechanics of a kicker formation
  3. Identifying bullish and bearish kicker patterns
  4. Why the kicker is so rare, above all on crypto and forex
  5. Market psychology behind the kicker pattern
  6. How to trade the kicker pattern: step-by-step strategy
  7. Comparing the kicker pattern to other reversals
  8. Best indicators to confirm kicker signals
  9. The kicker pattern across different timeframes
  10. Reliability and success rates
  11. Real examples of the kicker pattern
  12. Common mistakes to avoid when trading kickers
  13. Pros and cons of the kicker pattern
  14. Frequently asked questions about the kicker pattern
  15. Summary of key points
  16. Final thoughts on risk management

The kicking candlestick pattern, also called the kicker pattern, is a two-bar reversal signal: a marubozu (a full-bodied candlestick with no shadows, or very short ones) followed by a marubozu of the opposite color that opens beyond it, leaving a price gap between the two. The bullish kicker goes from a black marubozu to a white one that gaps higher; the bearish kicker goes from a white marubozu to a black one that gaps lower. It reflects a sudden shift in market sentiment, one of the sharpest a chart can show: control passes from one side to the other between two sessions, with no transition.

This guide will help you learn how to identify both versions, the market psychology behind them, how to enter, place a stop and set a target, and how the kicker compares with other reversals such as the island reversal. It also shows what happened after it. Our test bench scanned full price history on stocks, ETFs, indices, commodities, crypto and forex, detected only 14 bullish and 22 bearish kicking patterns on daily charts, and compared each one with random dates on the same assets.

What is the kicker candlestick pattern?

A kicker is made of two opposite candlesticks with no shadows or very short ones, separated by a gap. The first candlestick moves with the trend and closes at its extreme. The next session opens beyond the open of the first candlestick and moves the other way for the whole session, closing at its own extreme. Nothing overlaps: the second candlestick trades entirely outside the range of the first.

In technical analysis, the kicker is a type of two-candle reversal pattern, like the harami or the piercing line, but a more extreme one: its two bars do not overlap at all. The pattern comes from Japanese candlestick analysis and is coded in the open-source TA-Lib library as CDLKICKING, the function our bench follows (our rule finds all the cases it flags). Our rule does not require a prior trend: the two bars and the gap are the whole signal. The classic reading still places it after a clear trend, where it reads as a reversal rather than a continuation.

Classical candlestick analysis reads the kicker as a powerful indicator of a strong reversal. That is a claim we can test on a large history of market data, and we come back to it in the reliability section.

The mechanics of a kicker formation

Each part of the formation has a precise role, and each detail matters when you check a chart for this pattern.

123
  1. Black marubozua body with no or very short shadows
  2. White marubozua body with no or very short shadows
  3. Gapits low stays above the first candle's high
Schematic drawing of the rule, not measured data.
123
  1. White marubozua body with no or very short shadows
  2. Black marubozua body with no or very short shadows
  3. Gapits high stays below the first candle's low
Schematic drawing of the rule, not measured data.

Candle one: the trend continuation

The first candlestick is a marubozu in the direction of the existing move: a strong bearish candle in a decline, a strong bullish candle in a rally. It opens at or near one extreme and closes at or near the other, so the dominant side closed the session at its best level.

The separation gap

The second session opens beyond the open of the first candlestick: above it for a bullish kicking pattern, below it for a bearish one. Because a marubozu has almost no shadows, its open is close to its high (black bar) or its low (white bar), and the rule also requires the whole second bar to stay beyond the range of the first, so the two bars cannot overlap. The gap is the "kick": overnight, the market changed its mind. Such a jump can come from news that reached the market while it was closed.

Candle two: the counter-strike

The second candlestick is a full body of the opposite color. It never trades back into the first candlestick and closes at or near its extreme, in the new direction. In a bullish kicking pattern it is a strong bullish candlestick from open to close. That is what separates a kicker from a simple gap that gets filled during the session, and it is why the description of the pattern insists on two full bodies.

Identifying bullish and bearish kicker patterns

How to spot a bullish kicker pattern

  • Candle 1: a black marubozu, opening at or near its high and closing at or near its low.
  • Candle 2: a white marubozu whose low is above the high of candle 1, opening at or near its low and closing at or near its high.
  • Context: the classic reading wants a decline before it; our rule does not require one.

The figure below shows the bullish kicking pattern as the rule defines it, with the levels of the trade we test: entry above the pattern high, stop under its low, target at twice the risk.

TPSLEntryBullish kicking
Bullish setup drawn from the rule, with entry, stop loss (SL) and 2:1 target (TP)

How to spot a bearish kicker pattern

  • Candle 1: a white marubozu, opening at or near its low and closing at or near its high.
  • Candle 2: a black marubozu whose high is below the low of candle 1, opening at or near its high and closing at or near its low.
  • Context: in the classic reading, after a rally; our rule does not require one.
TPSLEntryBearish kicking
Bearish setup drawn from the rule, with entry, stop loss (SL) and 2:1 target (TP)

On the median daily occurrence, the two bars span 7.64% of price for the bullish version (2.30 times the average true range, or ATR) and 13.48% for the bearish version (3.31 ATR). These are large formations, so the stop sits far from the entry.

Why the kicker is so rare, above all on crypto and forex

Two full-bodied candlesticks back to back are uncommon, and a gap between them is rarer still. On daily charts, our bench detected one bullish kicking pattern every 556,265 eligible bars and one bearish kicking pattern every 344,221. For comparison, a single white marubozu appears about once every 58 daily bars. Most kicker patterns come from US stocks (10 of the 14 bullish and 20 of the 22 bearish daily cases), where each session opens after a night of news.

Crypto and forex markets trade continuously: Bitcoin around the clock, currency pairs 24 hours on weekdays. A new bar opens near the previous close, so the gap at the heart of the kicker can hardly form. Our bench detected no kicker on crypto charts at all, and none on daily forex charts. On hourly forex charts the pattern forms almost only at the weekly open, across the weekend gap, so we do not publish those rows: on a market that trades 24 hours on weekdays, the weekend reopening is one of the few moments a gap can form, and those rows measure the weekend gap rather than the kicker.

Market psychology behind the kicker pattern

The bullish kicker tells a story of sudden reversal. Sellers dominate the first session from open to close, and the decline looks set to continue. Then something changes between sessions, such as news: earnings, a regulatory decision, a macro release. The next session opens above the entire prior bar, and buyers keep control all day, with strong buying interest and no pullback. Traders who sold the day before are trapped, and their buying to cover adds fuel. The bears who dominated the day before have lost their grip: the shift in market sentiment is complete within two candles, indicating that buyers and sellers have swapped roles.

The bearish kicker is the mirror image: a confident rally, then a gap down and a session of steady selling, leaving late buyers above the market and long positions under water. The second candle suggests that sellers act with conviction.

The story is convincing, and it is the classic meaning given to these candles. The question is whether that dramatic shift tends to continue, which is what the numbers below measure.

How to trade the kicker pattern: step-by-step strategy

The plan we test for a bullish kicking candlestick pattern buys when prices trade above the high of the second candlestick, with a stop under the low of the first candlestick and a target at twice the risk (2:1). For a bearish kicking pattern, it sells below the low of the second candlestick, with the stop above the high of the first. Our bench simulates this trade on every occurrence.

TPSLEntryBullish kicking
Entry
Buy stop at the pattern high
Stop loss (SL)
At the pattern low
Target (TP)
Twice the risk (2:1)
Entry, stop and target as the rule sets them. Schematic drawing of the rule, not measured data.
TPSLEntryBearish kicking
Entry
Sell stop at the pattern low
Stop loss (SL)
At the pattern high
Target (TP)
Twice the risk (2:1)
Entry, stop and target as the rule sets them. Schematic drawing of the rule, not measured data.

A clean case from our bench: IndicesChosen on its shape alone, never on the outcome.

◂ Pattern2,1041,642+10 barsTPSLEntry2022-102022-12
TextbookRussell 2000 November 10, 2022Daily chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

A clean case from our bench: ETFsChosen on its shape alone, never on the outcome. ETF prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time.

◂ Pattern144.3105.4+10 barsTPSLEntry2016-062016-09
TextbookUNG July 5, 2016Daily chart1.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Entry triggers and confirmation

The conservative entry is a buy stop just above the pattern high, which needs the move to continue. It was triggered on 100.0% of bullish setups and 100.0% of bearish ones in daily data, too few setups to read as a rate. The aggressive entry buys at the close of the second bar. Waiting for a third bar that confirms the move gives a later entry, further from the stop.

Stop loss placement techniques

The stop that proves the trade wrong is beyond the first candlestick, which means across the gap. On the bullish version it sits under the low of the black bar, so the risk includes both bars and the gap. A tighter stop, under the low of the second candlestick or inside the gap, reduces the risk per share but sits inside the pattern, where ordinary swings can reach it; we have not tested it. Whatever you choose, size the position on the distance to the stop: the median pattern spans 2.30 ATR for the bullish version and 3.31 ATR for the bearish one.

Setting profit targets and risk-to-reward ratios

A 2:1 target is far away on a formation this large. On daily charts, the length of trades and the time to the target or to the stop rest on fewer than 30 trades in both directions, too few to measure. Prior swing levels are a reasonable alternative target.

Comparing the kicker pattern to other reversals

Kicker pattern vs. engulfing pattern

In a bullish engulfing pattern, the second body opens below or at the prior close and covers the whole first body. In a bullish kicker, the second candlestick opens above the first and never trades back into it: no overlap at all. That pattern is common (one bullish occurrence every 141 daily bars, 59,948 in our data); the kicker is more than a thousand times rarer. On daily data, the bullish engulfing trade reached its 2:1 target in 36.9% of 48,554 trades against 35.7% at random, a gap rated No clear edge: its average result per trade does not pass our statistical test.

Kicker pattern vs. island reversal

An island reversal also uses gaps, but on both sides of an isolated group of bars. A kicker has a single gap. The abandoned baby sits in between: a doji isolated by two gaps, with three bars in total.

Kicker vs. separating lines

Separating lines are two bars of opposite color that open at the same price. Classical candlestick analysis reads them as continuation, while a kicker opens beyond the first candlestick and is read as a reversal.

Kicker vs. spinning top

A spinning top has a small body and long shadows: it shows indecision. Each bar of a kicker is the opposite of a spinning top, a full body with no shadows, which is why the classical reading treats the pattern as a strong signal rather than a pause.

Best indicators to confirm kicker signals

Using volume to validate the move

Classical candlestick analysis wants heavy volume on the second candlestick, as a sign that the gap has conviction behind it. We measured it, but each volume group holds fewer than thirty cases for at least one direction, too few to report a difference.

Moving averages and trend alignment

A trend filter takes bullish setups only above a rising 200-day moving average, in line with the long-term trend. We split our occurrences this way, but one side of each split has fewer than thirty cases, so we do not draw conclusions from it.

Relative strength index (RSI) integration

Another approach combines kicker signals with a momentum indicator: it looks for a bullish kicking pattern when the RSI is oversold, or a bearish one when it is overbought. We have not tested an RSI filter. With 14 bullish and 22 bearish daily occurrences in all of market history, any extra filter leaves too few cases to measure.

The kicker pattern across different timeframes

The cases we could measure are on daily charts. We have no kicker on weekly charts. On hourly forex charts the pattern forms almost only at the weekly open, across the weekend gap, so we do not publish those rows. On intraday stock charts, a gap can only appear at the opening bar of the session, so day traders will see the kicker rarely. Whatever the timeframe, the pattern depends on a market that can jump between bars, which is why kicker patterns belong to stock trading far more than to crypto or forex trading.

Reliability and success rates

Our data cannot say whether the kicker is a reliable reversal signal, even though classical candlestick analysis presents it as a clear signal of a potential trend reversal. With only 14 bullish and 22 bearish daily cases, fewer than 30 each, both versions are rated not enough data, on the 10-day move as on the 2:1 trade: the numbers below are shown, not interpreted. Here are the results from our test bench, before fees.

All statistics

Full results for the kicking 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

Too rare to judge yet: fewer than 30 occurrences, or too few independent periods to test.

10-bar move Not enough data2:1 trade Not enough data

Bullish kicking: 14 occurrences tested

Bullish pattern · All markets · Daily · 14 assets · 1991-01 to 2023-11

Moved the expected way after 10 bars
57.1%
vs 54.4% on random bars
Only 14 occurrences, fewer than 30: not interpreted
Excess return vs its market, 10 bars
+1.99%
95% interval −0.43% to +3.98%
Only 14 occurrences, fewer than 30: not interpreted
its market−5%+5%
2:1 trade hit the target
42.9%
vs 14.3% for the same trade on random dates
Only 14 closed trades, fewer than 30: not interpreted
Average result per trade
+0.29 R
vs −0.43 R on random dates
Only 14 closed trades, fewer than 30: not interpreted

What this means. Fewer than 30 occurrences, or too few independent periods to test: the numbers are shown but not interpreted.

Timeline

Entry triggered, after the pattern
too few to measure · on 14 triggered entries
Stop order beyond the pattern's extreme.
Time to the 2:1 target, when hit
too few to measure · on 6 trades that hit it
Time to the stop, when hit
too few to measure · on 8 trades that hit it
Time in the trade, all exits
too few to measure · on 14 trades

Size and trade path

Pattern range, high to low
too few to measure · on 14 occurrences
Range vs average bar (ATR)
too few to measure · on 14 occurrences
Best open profit during the trade
too few to measure · on 14 trades
Stopped trades that were first up 1 R
too few to measure · on 8 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
too few to measure · on 14 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. A black marubozu followed by a white marubozu that gaps above it. Any gap counts, even one tick. 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 (5 rows)

10-bar move: did price go the expected way?

Figures in gray: fewer than 30 occurrences, not interpreted. Excess return is signed so that positive favors the pattern. The test uses the bootstrap’s standard error and the interval its percentiles: near the 0.05 line, or on a few extreme moves, an interval can leave out zero while the test does not pass, and the test decides. Stock data misses most delisted companies, a survivorship bias we have not sized, which can flatter stock rows.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
US stocks · Daily1060.0%54.4%+3.19%Not enough data
ETFs · Daily10.0%55.8%−4.28%Not enough data
Indices · Daily250.0%55.2%−1.92%Not enough data
Commodities · Daily1100.0%50.9%+4.05%Not enough data
All markets · Daily1457.1%54.4%+1.99%Not enough data

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
US stocks · Daily1050.0%12.5%+0.51 R vs −0.42 RNot enough data
ETFs · Daily10.0%50.0%−1.00 R vs +0.48 RNot enough data
Indices · Daily20.0%12.5%−1.00 R vs −0.63 RNot enough data
Commodities · Daily1100.0%0.0%+2.00 R vs −1.00 RNot enough data
All markets · Daily1442.9%14.3%+0.29 R vs −0.43 RNot enough data

Our verdict

Too rare to judge yet: fewer than 30 occurrences, or too few independent periods to test.

10-bar move Not enough data2:1 trade Not enough data

Bearish kicking: 22 occurrences tested

Bearish pattern · All markets · Daily · 22 assets · 1995-09 to 2025-04

Moved the expected way after 10 bars
40.9%
vs 45.9% on random bars
Only 22 occurrences, fewer than 30: not interpreted
Excess return vs its market, 10 bars
−1.79%
95% interval −3.29% to +1.76%
Excess return is signed so that positive favors the pattern. On a bearish setup, it means the asset lagged its market.
Only 22 occurrences, fewer than 30: not interpreted
its market−4%+4%
2:1 trade hit the target
4.5%
vs 12.1% for the same trade on random dates
Only 22 closed trades, fewer than 30: not interpreted
Average result per trade
−0.94 R
vs −0.44 R on random dates
Only 22 closed trades, fewer than 30: not interpreted

What this means. Fewer than 30 occurrences, or too few independent periods to test: the numbers are shown but not interpreted.

Timeline

Entry triggered, after the pattern
too few to measure · on 22 triggered entries
Stop order beyond the pattern's extreme.
Time to the 2:1 target, when hit
too few to measure · on 1 trade that hit it
Time to the stop, when hit
too few to measure · on 20 trades that hit it
Time in the trade, all exits
too few to measure · on 22 trades

Size and trade path

Pattern range, high to low
too few to measure · on 22 occurrences
Range vs average bar (ATR)
too few to measure · on 22 occurrences
Best open profit during the trade
too few to measure · on 22 trades
Stopped trades that were first up 1 R
too few to measure · on 20 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
too few to measure · on 22 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. A white marubozu followed by a black marubozu that gaps below it. Any gap counts, even one tick. 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 (3 rows)

10-bar move: did price go the expected way?

Figures in gray: fewer than 30 occurrences, not interpreted. Excess return is signed so that positive favors the pattern. The test uses the bootstrap’s standard error and the interval its percentiles: near the 0.05 line, or on a few extreme moves, an interval can leave out zero while the test does not pass, and the test decides. Stock data misses most delisted companies, a survivorship bias we have not sized, which can flatter stock rows.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
US stocks · Daily2040.0%45.4%−1.91%Not enough data
ETFs · Daily250.0%50.0%−0.63%Not enough data
All markets · Daily2240.9%45.9%−1.79%Not enough data

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
US stocks · Daily205.0%12.1%−0.93 R vs −0.42 RNot enough data
ETFs · Daily20.0%12.5%−1.00 R vs −0.63 RNot enough data
All markets · Daily224.5%12.1%−0.94 R vs −0.44 RNot enough data

Data updated November 5, 2026 · code version c2a1683f · Read the methodology. No occurrence on crypto in our data. The bearish kicking had no occurrence on indices or commodities. We measure every pattern on crypto and forex (1-hour, 4-hour, daily and weekly charts) and US stocks, ETFs, indices and commodities (daily and weekly charts). On 1-hour forex charts the pattern only forms at the weekly open, across the weekend gap, so we do not publish those forex rows. Any other market or timeframe from that list missing from the tables above had no occurrence.

Table quoted in the text (verdicts and every market: see All measurements)
Setup and market (daily)OccurrencesMoved as expected after 10 barsRandom barsClosed trades2:1 target hitSame trade, random datesExpectancy
Bullish, all markets1457.1%54.4%1442.9%14.3%+0.29 R (random −0.43 R)
Bullish, US stocks1060.0%54.4%1050.0%12.5%+0.51 R (random −0.42 R)
Bearish, all markets2240.9%45.9%224.5%12.1%−0.94 R (random −0.44 R)
Bearish, US stocks2040.0%45.4%205.0%12.1%−0.93 R (random −0.42 R)

Read the table in pairs of columns. "Moved as expected" means higher 10 sessions later for the bullish version and lower for the bearish one. 57.1% of bullish occurrences were higher 10 days later, against 54.4% of random days on the same assets, with an average excess return over the rest of the market of +1.99%, on 14 cases only: rated Not enough data. The 2:1 trade reached its target in 42.9% of 14 trades, against 14.3% for the same entry, stop and target on random dates, with an expectancy of +0.29 R against −0.43 R at random, but that is fewer than the 30 trades we need before reading a result: not enough data. The US stock subsets, 10 bullish and 20 bearish trades, are too small to read as well, and stock data carries a survivorship bias we have not sized: most delisted companies are missing.

The bearish kicker is in the same situation. Its short trade reached the 2:1 target in 4.5% of 22 trades, against 12.1% for random short trades on the same assets, with an expectancy of −0.94 R against −0.44 R. That is fewer than 30 trades, so the row reads Not enough data: the numbers are shown, not interpreted. We have also checked only a few of the detected bearish cases by eye so far, so treat these bearish figures as resting on few, partly audited cases. For the record, 72.7% of bearish occurrences were lower 3 sessions later (47.3% for random days), and 18.2% were lower after 20 sessions (45.1% for random days). These horizon figures are descriptive, outside the tests behind our verdicts, and rest on the same few cases.

For context, on candlestick patterns in general: Marshall, Young and Rose, in "Candlestick technical trading strategies: Can they create value for investors?" (Journal of Banking & Finance, 2006), found that such strategies did not add value on large US stocks.

ETFs, indices and commodities each produced fewer than 30 occurrences, too few to report. On hourly forex charts the pattern forms almost only at the weekly open, across the weekend gap, so we do not publish those rows. The full table, with every market, is in the statistics section of this page, and the method is in our methodology.

Real examples of the kicker pattern

The gallery in this section shows the real kicker patterns that passed our card rules, on daily ETF and index charts, with their actual outcome. The cases written up below are not gallery cards: they come from our bench on daily charts, US stocks with prices adjusted as on our charts, except the bullish winner, on copper futures.

Real occurrences from our test bench, each on its market's main timeframe. Worst is the worst 2:1 trade result, Textbook the cleanest shapes (chosen on geometry alone, never on the outcome), Typical a random draw. Bullish kicking pattern: on ETFs, our bench gives a single example card, so it carries no Best, Worst or other label: it is one real occurrence, not a ranked pick. Shaded area: the pattern. Dashed lines: entry, stop loss (SL) and 2:1 target (TP) of the tested trade. Dotted line: 10 bars after the signal. A result above +2 R or below −1 R means a bar opened past the target or the stop, and the trade was closed at that open. ETF prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time.

Market
Indices overallAcross 2 daily bullish kicking occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern17,85815,472+10 barsTPSLEntry2016-03
Worst tradeTextbookTypicalNikkei 225 April 19, 2016Daily chart3.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern2,1041,642+10 barsTPSLEntry2022-102022-12
Worst tradeTextbookTypicalRussell 2000 November 10, 2022Daily chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Real occurrences The only occurrence on ETFs (daily charts)

ETFs overallAcross 1 daily bullish kicking occurrence, too few cases to give a percentage (we need at least 30).Not enough dataThe example below is a single case.
◂ Pattern34.0430.48+10 barsTPSLEntry2018-07
INDA August 24, 2018Daily chart5.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
ETFs overallAcross 2 daily bearish kicking occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern32.4027.21+10 barsTPSLEntry2013-01
Worst tradeTextbookTypicalXBI February 25, 2013Daily chart9.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern144.3105.4+10 barsTPSLEntry2016-062016-09
Worst tradeTextbookTypicalUNG July 5, 2016Daily chart1.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

A bullish kicker that reached its target

On November 10, 2023, copper futures printed a black candle from 3.624 to 3.5835 that closed at its low. The next session opened at 3.644, above the entire prior bar, and closed at its high of 3.6625: a bullish kicking candlestick pattern. On November 14 the contract opened at 3.703, above the buy stop, so the entry filled at that open, with a stop at 3.5835 and a target at 3.942, reached on December 27, 2023, 30 sessions after entry. Copper was 2.7% higher 10 sessions after the pattern.

A bearish kicker that reached its target

On July 16, 2003, Deluxe (DLX) closed a white marubozu at 18.78. On July 17, it opened at 18.54, below the prior low of 18.59, and closed near its low at 17.94. The sell stop at 17.94 was triggered the next day, with a stop at 18.78 and a target at 16.26, reached on September 16, 2003, 41 sessions after entry.

Failed kicker patterns

On November 10, 2022, the day a softer than expected US inflation report lifted the whole stock market, Carnival (CCL) printed a bullish kicker: a black candle on November 9 that closed at 8.42, then a session that opened at 8.98, above the prior high of 8.88, and closed at 9.63, near its high. The entry filled the next day at the opening price of 10.01, above the buy stop, with a stop at 8.39. The stock rose to 11.31 on November 15, then fell back and hit the stop on December 15, a 1 R loss, and CCL was 0.5% lower 10 sessions after the pattern. Five of the 14 bullish daily kickers formed that same day: a kicker can form on news, and the candle shape alone says nothing about how the market will digest it.

On April 3, 2025, the day after a broad US tariff announcement, United Airlines (UAL) printed a bearish kicker. The short position opened on April 4 at 55.89, with a stop at 71.43, which was hit on April 9. UAL was 10.1% higher 10 sessions after the pattern.

Common mistakes to avoid when trading kickers

  • Accepting bars with long shadows. If either bar has more than a short wick, it is a gap and two long bars, not a kicker by the strict definition. Looser definitions find more cases, but they are a different pattern.
  • Expecting kickers on crypto or forex charts. Without a real gap between sessions, the pattern almost never forms: our bench found none on crypto, and on hourly forex it forms almost only at the weekly open, across the weekend gap.
  • Ignoring the news. A kicker can form after an event, and the candle shape alone says nothing about how long the reaction will last.
  • Using a normal position size. The median pattern spans 2.30 ATR (bullish) and 3.31 ATR (bearish): size the position on the stop distance.
  • Forgetting gap risk. A market that has just gapped can gap again, through your stop.

Pros and cons of the kicker pattern

Pros

  • A strict, objective definition, easy to scan for.
  • Clear levels for the entry and the stop.
  • It shows a real event: a sharp, decisive change in sentiment between two sessions, easy to see on any chart.

Cons

  • Extremely rare: 14 bullish and 22 bearish occurrences in decades of daily data.
  • Wide stops, across the gap.
  • Too few cases to judge either version, on the 10-bar move or on the 2:1 trade: both read not enough data.

Frequently asked questions about the kicker pattern

How reliable is the kicker pattern for day trading?

We cannot measure it. Our bench found no kicker on hourly crypto charts and has no hourly stock data. On hourly forex charts the pattern forms almost only at the weekly open, across the weekend gap, so we do not publish those rows. On intraday charts, bars open where the previous one closed, except at the start of a session.

Does the kicker pattern work in all market conditions?

Our data cannot tell. The bench found only 14 bullish and 22 bearish daily kickers, fewer than 30 each, so both versions are rated not enough data: the raw numbers are in the table above, but they are not a result. We could not split the results by the trend before the pattern: each group holds too few cases. The sample is small, so treat both reversal signals with caution.

Can I use the kicker pattern for long-term investing?

We found no kicker on weekly charts, so we have nothing to measure for long-term investors. On daily charts, both versions have too few trades to measure how long a trade lasts.

Is a kicking pattern the same as a kicker?

Yes. "Kicking" is the name used in classic candlestick references and in TA-Lib; "kicker" is the other name in use, and it can also refer to a looser version where the bars may have longer shadows.

Summary of key points

  • A kicker is two opposite full-bodied bars separated by a gap: black then white for the bullish kicker, white then black for the bearish kicker.
  • It is extremely rare: one bullish kicking pattern every 556,265 daily bars, against one white marubozu every 58.
  • It almost never forms on crypto and forex, which trade continuously and rarely gap.
  • The bullish 2:1 trade reached its target in 42.9% of 14 trades, against 14.3% on random dates: too few trades to judge.
  • The bearish kicker reached its target in 4.5% of 22 trades, against 12.1% on random dates (−0.94 R before costs): too few trades to judge.

Final thoughts on risk management

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 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.

, Founder of PatternsWizard

Passionate about finance, quantitative trading and data analysis. Amaury built the PatternsWizard test bench, which detects each pattern on full price history and measures what happened next against random entries.

Statistics on this page come from our open methodology: every occurrence our rule finds on full history, compared with chance. How we test patterns.

179 patterns testedRandom-walk self-test passed