Hikkake Pattern: How to Identify and Trade the Inside Bar False Breakout

The hikkake pattern is a false breakout of an inside bar. Price contracts into an inside bar, breaks out of it in one direction, then turns around and closes back through the other side within three bars. Traders who bought or sold the first breakout are trapped, and the pattern bets on the move that follows when they exit.

This guide explains how to identify the bullish and bearish hikkake, how traders set entry, stop and target, and what actually happened next. Our test bench scanned full market history with a strict definition and detected 27,413 bullish and 35,927 bearish ones 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 the hikkake pattern?

The hikkake pattern is a price pattern built on a failed breakout. It was named and described by Daniel L. Chesler. Hikkake is a Japanese verb that translates as to trick, to trap or to ensnare: the first breakout is the trick, and the traders who follow it are the ones caught.

It is not a classic Japanese candlestick pattern, and it works the same on bar charts and candlestick charts. The color of the candles does not matter. Only the highs, the lows and the closes count.

Our bench applies the rules below without judgment, with two choices worth knowing: the bullish hikkake must follow a downtrend and the bearish one an uptrend, and the confirmation needs a close, not a simple touch, the stricter version.

The psychology behind the hikkake pattern

An inside bar shows a pause: the range contracts and volatility falls. The inside-bar breakout method treats that break as a signal and places orders just beyond the bar, with a stop on the other side. When price breaks down, the breakout traders sell. When price then turns around and closes above the inside bar, those short traders are wrong, and their buy stops add fuel to the move up.

That is the idea behind the hikkake: trade against the crowd that followed the first breakout. It is a plausible story about order flow. Whether it gives an edge is a question for data, and we answer it below.

How to identify the hikkake pattern on your charts

The hikkake pattern has four parts, always in the same order: the mother bar, the inside bar, the false breakout and the confirming close.

The inside bar formation

The first step is an inside bar: its high is below the high of the bar before it, and its low is above that bar's low. The bar before it is called the mother bar. On daily charts, an inside bar is also called an inside day. A harami is a similar idea applied to candle bodies only; the hikkake uses the full range, wicks included.

The false breakout candle

The next bar breaks out of the inside bar on one side only. For a bullish hikkake, it has a lower high and a lower low: a breakdown. For a bearish hikkake, it has a higher high and a higher low: a breakout to the upside. This is the move that traps traders.

The trigger and reversal move

Within the next three bars, price must close back through the opposite side of the inside bar: above its high for a bullish hikkake, below its low for a bearish one. If that does not happen within three bars, there is no hikkake, and the first breakout may simply be a real breakout. Our bench dates the pattern at that confirming close.

Bullish vs. bearish hikkake patterns

Both versions have the same structure; only the direction of the false move changes.

Identifying a bullish hikkake

It forms after a decline. The false move is down, the expected move is up.

Identifying a bearish hikkake

It forms after a rally. The false move is up, the expected move is down.

The charts above are schematic drawings of the rule, not measured data: they show the sequence of bars the rule asks for, and where the trade we test puts its entry, stop and target.

Step-by-step trading strategy for the hikkake pattern

There are two ways to trade a hikkake. The classic one places an order at the opposite side of the inside bar as soon as the false breakout appears, and cancels it if it is not filled within three bars. The version our bench tests waits for the confirming close, then enters on a break of the pattern's own bars.

Setting up your entry point

For a bullish hikkake, we place a buy order just above the highest high of the pattern (its four to six bars, from the bar before the inside bar to the confirming close), after the confirming close. For a bearish one, a sell order just below the lowest low. On daily charts, the buy order was filled in 83.5% of bullish cases; in 15.5% of cases, price broke the low of the pattern first and the trade was canceled. The remaining setups touched neither level within the 20 bars our test allows.

Managing risk with stop loss placement

Determining profit targets

The target we test is twice the risk (a 2:1 reward-to-risk ratio). Because the stop is wide, targets take time: on daily charts, bullish hikkake trades that reached the 2:1 target took a median of 18 bars, and trades that were stopped took a median of 9 bars. Another approach is the next support or resistance level, or a trailing stop once the trade is in profit. We have only tested the fixed 2:1 target.

The modified hikkake pattern explained

The modified hikkake adds conditions before the false breakout: a context bar, an inside bar that closes near its high (for the bearish version) or near its low (for the bullish one), then a second inside bar. It is much rarer. On daily charts our bench found 223 bullish modified hikkake patterns, against 27,413 standard ones. The extra conditions did not help: the bullish modified hikkake reached the 2:1 target 33.7% of the time, against 33.4% for the same trade on random dates, a gap too small to count.

Does the hikkake pattern work?

Not on its own. On daily charts, the hikkake was followed by a move in its direction about as often as a random bar on the same assets, or slightly less often for the bullish version (51.6% against 53.0%), a gap in average excess return that passes a simple test but not our correction for multiple testing. On hourly charts, each version slightly moved against the expected direction relative to its market, a small gap that does survive our correction (rated Worse than chance for both versions). Here are the numbers from our test bench, which applies the same strict rule on full market history.

Bullish hikkake

Bearish hikkake

How to read these tables

Read each table in pairs of columns. On daily charts, 51.6% of bullish hikkake patterns were followed by a gain 10 days later, against 53.0% for random bars on the same assets. The excess return over the rest of the market after 10 days is −0.18%, with a 95% confidence interval from −0.34% to −0.03%: the whole interval is below zero, a gap that passes a simple test but not our correction, rated weak, below chance. No sign of an edge in the expected direction.

The 2:1 trade looks better at first: on daily charts, the bullish trade reached its target 37.1% of the time, for +0.17 R per trade before costs. But the same entry, stop and target on random dates averaged +0.15 R. Most of the gain comes from markets drifting up, not from the pattern, and the gap does not pass our statistical test.

Hourly charts lean negative. On 53,118 bullish hikkake patterns on hourly crypto, 46.0% were higher 10 bars later, against 48.3% for random bars, with an average excess return of −0.12% over the rest of the market: a small gap, but one that survives our correction for the thousands of tests we run. The next bar rose only 45.1% of the time, against 48.0%. On 4-hour crypto, the bullish hikkake also lagged the rest of the market, rated worse than chance, while on hourly crypto the bearish one moved against the expected direction relative to its market without surviving our correction. The 2:1 trade showed no clear edge on these charts.

Combining with technical indicators

Since the hikkake alone has no clear edge, a filter can be added. We tested two of them; the others are habits worth testing on your own market.

Using relative strength index (RSI) for confirmation

One rule takes bullish hikkake patterns only when the RSI is near oversold, and bearish ones near overbought. We have not tested an RSI filter.

Combining with moving averages for trend alignment

A trend filter takes signals only in the direction of the larger trend, for example bullish ones above the 200-day average. We split daily bullish occurrences that way: above the average, the 2:1 trade reached its target 36.4% of the time (+0.14 R); below it, 37.7% (+0.19 R). The filter barely changed the result.

Volume analysis during the breakout phase

One volume rule says the false breakout should come on weak volume and the reversal on strong volume. We measured volume on the bar that completes the pattern only: above 1.5 times the 20-day average, the daily bullish trade reached its target 36.0% of the time, against 37.5% on normal volume. These breakdowns are descriptive and not corrected for the number of tests.

Real-world examples of the hikkake pattern

The gallery of this section shows real hikkake patterns, picked by our bench (best and worst results, textbook shapes, most recent cases and typical draws, where a market has them), with their actual outcome. The cases written up below come from daily crypto charts, not from that gallery.

A bullish hikkake that worked

On June 27, 2026, SOL/USDT printed an inside bar (high 73.19, low 70.25) inside the bar of June 26. On June 28, price broke below it with a lower high and a lower low, at 69.74. On June 29, SOL closed at 75.16, above the high of the inside bar: a bullish hikkake. The buy order at 76.49 was filled on July 1, with a stop at 65.91, the low of the June 26 bar that contained the inside bar, and a 2:1 target at 97.65. SOL was 3.8% higher 10 days after the pattern, and price reached the target on August 22, 2026.

A slower winner

On June 21, 2022, NEAR/USDT closed at 3.518, above the inside bar high of 3.511, three bars after a false breakdown to 2.875. The buy order at 3.835 was filled on June 24, with a stop at 2.875. NEAR was 4.7% lower 10 days after the pattern and dipped to 3.038 on July 13, but the stop held, and the 5.755 target was reached on August 10, 2022, 47 days after entry.

Failed hikkake setups

On February 13, 2026, ADA/USDT confirmed a bullish hikkake with a close at 0.2728. The buy order at 0.2747 was filled the next day, and price rose as high as 0.3136 on February 25, short of the 0.3233 target, then fell back and hit the stop at 0.2504 on March 8: a full 1 R loss. On January 21, 2021, ATOM/USDT confirmed a bearish hikkake with a close at 7.177. The next day, price dipped to 6.603, filling the sell order at 7.035, then rallied; ATOM was 13.5% higher 10 days later, and the stop at 10.2 was hit on February 5.

Pros and cons of using the hikkake strategy

• Pro: a precise, rule-based definition that leaves little room for interpretation.
• Pro: a clear invalidation point beyond the extreme of the pattern, where our test places the stop.
• Con: on its own, no clear edge on daily charts, and an average excess return over the rest of the market slightly below zero on hourly charts, a gap that survives our correction.
• Con: a wide stop (close to two ATR on the median pattern) and slow trades.
• Con: it is rare compared with single candles, about one every 236 to 309 bars on daily charts and 280 to 313 on hourly charts, all markets together.

Common mistakes to avoid when trading hikkake

• Calling any failed breakout a hikkake. The pattern starts with an inside bar, and the reversal must come within three bars.
• Entering before the confirming close. A bar can trade through the inside bar and close back inside it.
• Placing the stop inside the pattern to make the risk look small. Our test places the stop beyond the extreme of the pattern's own bars; a stop just beyond the false breakout can be tighter, and is untested.
• Trading it on hourly and 4-hour charts without testing. That is where our data leans below chance (rated Worse than chance).

Hikkake indicator and detection code

TradingView has community scripts that mark hikkake patterns, and some platforms include it in their pattern scanners. The open-source TA-Lib library has a CDLHIKKAKE function; our stricter rule finds 20% of the bearish and 22% of the bullish occurrences it flags. Definitions differ, so check whether your tool requires a close or only a touch of the inside bar, and whether it requires a prior trend. If you write your own code, add two checks that not every script includes: a prior trend (the close just before the pattern at least one average true range below the close 10 bars before it and in the lower half of the last 40 closes for a bullish signal, the mirror image for a bearish one), and a signal dated at the confirming close, with no data used after it.

Frequently asked questions about the hikkake pattern

Summary

• The hikkake is a false breakout of an inside bar, confirmed by a close through the other side within three bars.
• On 27,413 daily bullish hikkake patterns, 51.6% were higher 10 days later, against 53.0% for random bars.
• On bullish hikkake patterns, the daily 2:1 trade averaged +0.17 R before costs, against +0.15 R for the same trade on random dates, a gap too small to separate from chance; on bearish ones, it averaged −0.18 R against −0.16 R on random dates.
• On hourly crypto, the average excess return of both versions over the rest of the market was slightly below zero: the bullish gap survives our statistical correction, the bearish one does not.
• The stop is wide, close to two ATR on the median pattern, so position size matters.

If you trade the hikkake, treat it as one input, not as a system. Wait for the close, put the stop beyond the extreme of the pattern, as our test does, size the position on that distance, and keep the risk per trade 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 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. This page is educational and is not investment advice: trading involves a risk of loss, and past results do not predict future ones.