High Wave Candle: Meaning, How to Trade It and What the Data Shows

A high wave candle is a single candlestick with a small real body and long upper and lower shadows, each more than twice the length of the body. The shadows are long compared with the body, not necessarily with recent sessions: the median daily occurrence spans 0.74 times the average true range (ATR). It signals indecision in the market: buyers and sellers both pushed price far during the trading period, and neither kept control by the close.

This guide covers the definition, how to identify a high wave candlestick on a chart, what it indicates, how traders use it, and what happened after it. Our test bench applied one rule to full price history in six financial markets and found 789,764 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 high wave candlestick pattern?

The high wave candlestick pattern is a one-candle indecision pattern. It has no direction of its own: it forms in an uptrend, in a downtrend or in a sideways market, in all financial markets, and its body can be green or red. It is not a reversal pattern by definition, but classical analysis reads it as a possible warning of a reversal of the current trend.

Understanding the high wave candlestick pattern

Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), presents high-wave candles next to spinning tops: a small real body with very long shadows, a sign that the market has lost its sense of direction. The name describes the shape: long waves of price in both directions.

Our test bench uses a rule written so a computer can apply it without judgment: a short real body, and both shadows more than twice as long as the body. Sizes are relative to the ten prior candles, as in the open-source TA-Lib library. No trend is required before the candle.

Characteristics of the high wave candlestick

The chart below is not drawn by hand. It is the median shape of the candles our bench detected, with the lines of the setup we test in each direction: entry at the break of one extreme of the candle, stop loss at the other extreme, target at twice the risk.

Small real body

The real body, the distance between the open and close, is short compared with the previous candles. Its color does not matter: green means the close is slightly above the open, red slightly below.

Long upper and lower shadows

The upper and lower shadows (or wicks) are both more than twice the body. Each wick shows how far price traveled before it was pushed back. This is what separates it from a spinning top, where the shadows only need to be longer than the body. On the median daily occurrence our bench found, the total range of the candle covers 2.01% of price, or 0.74 times the average true range (ATR) of the asset. In other words, the typical one is not a large candle: its range is smaller than the average range of recent sessions. The name suggests a violent session, but the data shows a modest candle with a tiny body.

How to identify the high wave candle on a chart

To identify the pattern, check three points on a closed candle:

1. The body is small compared with the previous candles.
2. The upper shadow is more than twice the body.
3. The lower shadow is too.

Then look at the context: where the candle forms relative to the current trend, to the previous swing highs and lows, and to support and resistance levels. In the classical reading, the same shape near a key price level after an extended move carries more weight than one in the middle of a range; we have not measured this.

It is a very common candle. On our data, it shows up about once every 11 bars on daily and hourly charts, and once every 10 bars on 4-hour charts.

What does the high wave candlestick indicate?

Market indecision and volatility

The candle tells the story of one trading period. Buyers push price well above the open, sellers push it well below, and the close ends near the open. Neither side won. Classical analysis reads it as indecision in the market: the prior move has lost its force, at least for one period.

Potential trend reversals

After a strong move, the classical reading treats this candle as an early warning of a reversal: in an uptrend, buyers could not hold the highs; in a downtrend, sellers could not hold the lows. The candle does not indicate which way price will go next, only that the market is undecided near that level. A reversal needs a break and a follow-through; the candle alone is not enough. We measured whether the prior trend matters: on daily charts, the candles that followed an uptrend reached a 2:1 target in 33.1% of cases, and after a downtrend in 34.1% of cases. Both are close to the 33.4% of the same setup on random dates across all daily candles.

How to trade the high wave candlestick pattern

Because the candle has no direction, the classic way to trade the high wave candlestick is to wait for price to break one of its extremes and follow that break. This is the setup our bench simulates on every occurrence, in every market.

Setting entry and exit levels

In our tests, one side was triggered almost every time. On daily charts, trades that reached the 2:1 target took a median of 3 bars; trades that were stopped took a median of 2 bars.

Using stop-loss orders for risk management

Trading strategies using the high wave pattern

Combining with support and resistance levels

A candle of this type that forms near a resistance level after a rally, or near support after a decline, is where the classical reading looks for a reversal. The setups it prefers combine the candle with a level that already stopped price before, and take only the break in the direction of the reversal: a sell on the downside break at a resistance level, a buy on the upside break at a support level. We have not tested a support and resistance filter, so we cannot say whether it improves the result.

Using volume as a confirmation tool

The classical reading gives more weight to one printed on heavy volume, as a sign of a real fight between buyers and sellers. We measured it. On daily charts, candles with volume above 1.5 times the 20-day average reached the 2:1 target in 33.7% of cases, against 33.5% on normal volume. Volume did not change the result: as an indicator, it added nothing to this candlestick pattern.

Using the relative strength index (RSI)

Another filter combines the candle with the relative strength index: take the bearish break only when the RSI is above 70, and the bullish break only when it is below 30. We have not tested an RSI filter; if you use this indicator, test it on your own market first.

Trend filter with a moving average

On daily charts, occurrences above the 200-day moving average reached the 2:1 target in 33.2% of cases, against 34.1% below it. The 200-day filter changed little.

Reliability: what the data shows

We tested the break-out setup described above on every occurrence in our data and compared it with the same entry, stop and target placed on random dates of the same assets.

Read the table in pairs of columns, one market at a time. On daily charts across all markets, the setup reached its 2:1 target in 33.6% of cases, against 33.4% for the same entry, stop and target on random dates, with an expectancy of 0.00 R per trade before costs. The pattern did not add anything to the trading result.

There is no confirmed positive exception, a few results that pass a simple test only, and one negative result that survives our correction, hourly crypto, plus the all-markets hourly row that it dominates. On daily crypto charts, the setup reached its target in 34.5% of cases against 33.0% on random dates, a gap that passes a simple test but not our correction for multiple testing (promising). The expectancy is +0.04 R before costs, small enough that fees and slippage could absorb much of it. On hourly crypto charts, the setup did slightly worse than chance, a difference that holds after our correction for multiple testing; on hourly forex, 4-hour crypto and weekly ETFs (0.00 R against +0.05 R on random dates), it did slightly worse too, but those gaps do not survive the correction. Weekly crypto charts looked better still (37.4% against 32.7%, +0.13 R), but on 6,576 trades that result does not survive our correction for multiple testing: it is rated promising, not proven. Daily indices also did a little worse than random dates (+0.10 R against +0.14 R, rated weak, below chance), a gap that passes a simple test only. Daily forex (33.7% against 33.1%) and commodities (35.8% against 35.8%, +0.06 R against +0.07 R) read no clear edge. Commodity results come from continuous futures that are not adjusted at contract rolls; the bench cuts each series at the large price jumps those rolls leave. The full method is in our methodology.

Real examples of the high wave candlestick pattern

The gallery of this section shows real cases, picked by our bench across markets (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 are on daily crypto charts.

A short that went the right way, then was stopped

On April 26, 2025, after a rise from 1.912 on April 16, NEAR/USDT printed one: open at 2.620, close at 2.623, a body of only 0.003, with an upper shadow of 0.106 up to 2.729 and a lower shadow of 0.071 down to 2.549. The next day price broke the bottom of the candle, which opened a short at 2.549 with a stop at 2.729 and a 2:1 target at 2.189. Price slid to 2.223 on May 7, about 1.8 R in favor of the trade and just short of the target, then rebounded to 2.743 on May 8 and hit the stop. Ten days after the candle, NEAR was 11.2% lower, yet the position lost 1 R.

A break that was stopped

On August 25, 2019, BTC/USDT printed one between 9,906.97 and 10,333. The next day price broke the top, opening the position at 10,333, then fell through the bottom of the candle on August 28: a full 1 R loss in three sessions. BTC was nevertheless 4.2% higher 10 days after the candle.

The move came, then the stop

On January 15, 2021, DOGE/USDT printed one between 0.0083123 and 0.0098443. Price stayed inside that range until January 21, when it broke the bottom and opened a short at 0.0083123. DOGE was 10.7% lower 10 days after the candle, but on January 28 it traded up to 0.0374849 in a single session, far above the stop at 0.0098443: the position lost 1 R.

Comparison with similar candles

Compared with the spinning top

The spinning top looks the same but has shorter shadows. On daily charts, its setup reached the 2:1 target in 33.4% of cases against 33.4% on random dates: the same result.

Compared with the long-legged doji

The long-legged doji has long shadows and almost no body: open and close are nearly equal. Our rule only asks for a short body, so a doji with long enough shadows also counts. On daily charts, the long-legged doji setup reached its target in 33.2% of cases, almost exactly like random dates. The rickshaw man is a long-legged doji with its body near the middle of the range.

Compared with the doji

A standard doji has almost no body and no shadow requirement. It also did slightly better than chance on daily crypto charts, rated Promising, though not after our correction: 34.0% of targets hit against 32.6% on random dates.

Advantages of the high wave candlestick pattern

• Easy to identify: one candle, three clear conditions.
• Clear levels: the high and low of the candle give the entry and the stop.
• Available in every financial market and timeframe, about once every 11 bars.

Limitations and risks of the high wave pattern

• It has no direction: it tells you the market is undecided, not where price will go.
• On most markets and timeframes we tested, the break-out setup did not beat chance, and on hourly crypto charts it did slightly worse, a gap confirmed after our correction for multiple testing.
• Trades are short: the median stopped trade lasted 2 bars on daily charts.

Tools and scanners for high wave candles

Charting platforms with a candlestick scanner can flag the pattern automatically. In ThinkorSwim, you can write a short thinkScript condition (body smaller than the recent average, both shadows more than twice the body) and use it in a scan or as a chart study. TradingView users can do the same in Pine Script, and stock screeners with custom scans can apply the same condition. Check the definition your tool uses: thresholds for "small body" and "long shadow" differ, and so do the results.

Frequently asked questions

Summary of key points

• The candle has a small real body and two shadows each more than twice its length. It signals indecision, not direction.
• It is common: about once every 11 bars on daily and hourly charts.
• On 788,323 closed trades on daily occurrences, the break-out setup reached its 2:1 target in 33.6% of cases, against 33.4% for the same trade on random dates.
• Daily crypto charts did slightly better than chance (+0.04 R before costs), without surviving our correction for multiple testing; hourly crypto did slightly worse than chance.
• Volume, the prior trend and the 200-day moving average changed the results only slightly.

Treat it as a pause in the market to note, not as a trading signal to act on alone. In technical analysis, it is best read with the levels around it. Define the stop at the other extreme before entry, size the position on that distance and keep the risk per trade small. Results measured on past data do not guarantee future results, and this page is educational content, not personal financial advice.

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.