Pattern direction

CandlestickBullish belt holdBearish belt hold

Belt Hold Candlestick Pattern: Bullish and Bearish Rules, Tested on Real Data

A single long candle that opens at one extreme and runs the other way, against the prior trend. This guide gives the rules for both versions, real examples and what our bench measured: no edge over random bars on the daily 10-bar move or the daily 2:1 trade, and a 10-bar move rated worse than chance on hourly charts.

· Founder of PatternsWizard
Updated Statistics updated 17 min read
Bullish belt hold patternBearish belt hold pattern
Occurrences tested
220,146
6 markets, 1970 to 2026, found by code
Bullish belt hold: textbook says price should rise
Too close to call
+0.01% in the expected direction vs the market after 10 bars, all markets, daily
Bearish belt hold: textbook says price should fall
Too close to call
−0.01% in the expected direction vs the market after 10 bars, all markets, daily

How we tested this pattern

Sample
220,146 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1970 to 2026.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.bullish belt hold pattern: After a downtrend: long white candle opening at its low (very short lower shadow). 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 belt hold pattern: After an uptrend: long black candle opening at its high (very short upper shadow). 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 belt hold pattern data (JSON) · bearish belt hold pattern data (JSON)

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At a glance: what textbooks say, what we measured
Pattern
Bullish belt hold
Occurrences tested
92,237 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · +0.01% vs the market, 10 bars
Where it did best, US stocks left out
Indices, weekly: +0.42 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: No clear edge2:1 trade: No clear edge
Pattern
Bearish belt hold
Occurrences tested
127,909 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · −0.01% vs the market, 10 bars
Where it did best
Crypto, weekly: +0.63 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: No clear edge2:1 trade: No clear edge

See the statistics

On this page
  1. What is the belt hold candlestick pattern?
  2. How to identify the belt hold pattern
  3. The psychology behind the belt hold formation
  4. How to trade the bullish belt hold pattern
  5. How to trade the bearish belt hold pattern
  6. Key differences between belt hold and marubozu
  7. The importance of volume in confirmation
  8. Reliability and limitations of the pattern
  9. Indicators that pair well with the belt hold
  10. Belt hold patterns across different time frames
  11. Real-world examples of belt hold setups
  12. Tools for finding belt hold patterns
  13. Frequently asked questions
  14. Summary

The belt hold candlestick pattern is a single long candle that opens at one extreme of its range and runs the other way, printed against the prior trend. A bullish belt hold opens at its low after a decline and closes far higher; a bearish belt hold opens at its high after a rally and closes far lower. It is read as a potential trend reversal.

This guide covers the definition, how to identify each version, how to trade it, and what actually happened next. Our test bench applied the same rule to full price history, which gave 92,237 bullish and 127,909 bearish ones on daily data alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random bars on the same assets.

What is the belt hold candlestick pattern?

The belt hold pattern is a one-candle reversal pattern in technical analysis. It has two versions, the bullish belt hold and the bearish belt hold, and both need a trend to reverse.

Definition and origin of the name

Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), describes the belt-hold line: a long candlestick that opens at its high or its low, with no shadow, or almost none, at the opening end. Its Japanese name, yorikiri, is a sumo term for pushing the opponent out of the ring while holding his belt. The image fits: from the first trade, one side grabs the market and pushes it the whole session.

In shape, the belt hold is an opening marubozu: no wick at the open, a long real body, and a wick at the close that is usually small. What turns that candlestick into a belt hold pattern is its location, after a downtrend for the bullish version, after an uptrend for the bearish one.

How our bench defines it

Our test bench uses a rule a computer can apply without judgment, taken from the open-source TA-Lib library (function CDLBELTHOLD), plus a prior trend: a body that is long compared with the prior candles, and a very short shadow at the opening end. The bullish belt hold must come 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), the bearish one after an uptrend.

How to identify the belt hold pattern

The belt hold pattern is easy to identify on a chart once you know what to check. The candle alone is not enough: the trend before it decides the name.

123
  1. Long candleafter a downtrend
  2. White body
  3. Opens at its lowvery short lower shadow
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.
123
  1. Opens at its highvery short upper shadow
  2. Black body
  3. Long candleafter an uptrend
Median shape of 3,000 daily occurrences drawn at random from all markets, found by our test bench.

Characteristics of a bullish belt hold

  • A downtrend before the candle.
  • A long white (bullish) body, clearly larger than the recent candles.
  • The candle opens at or very near its low: little or no lower shadow.
  • The close is well above the open. Classic descriptions want it near the high; our rule requires only a long white body, so an upper shadow is allowed.
  • The opening price can be a new low of the move, sometimes after a gap down.

Characteristics of a bearish belt hold

  • An uptrend before the candle.
  • A long black (bearish) body.
  • The candle opens at or very near its high: little or no upper shadow.
  • The close is well below the open. Classic descriptions want it near the low; our rule requires only a long black body, so a lower shadow is allowed.

A quick checklist

Check the trend first, then the opening end (no wick), then the body length against the last 10 candles, and wait for the close. A long candle without a wick at the open, in the middle of a range, is an opening marubozu, not a belt hold pattern. On the median daily occurrence our bench found, a bullish belt hold pattern spans 3.60% of price, or 1.18 times the average true range (ATR) of the asset: a normal-size session, not a giant candle. What makes it stand out is that most of the range is body.

TPSLEntryBullish
Bullish setup on the median shape of 3,000 daily occurrences drawn at random from all markets, with entry, stop loss (SL) and 2:1 target (TP)
TPSLEntryBearish
Bearish setup on the median shape of 3,000 daily occurrences drawn at random from all markets, with entry, stop loss (SL) and 2:1 target (TP)

The psychology behind the belt hold formation

A bullish belt hold candle tells the story of a session that starts at the low of a decline. Sellers have been in control, price sometimes gaps down at the open, and then buyers take over from the first trade. Price never trades below the opening level and climbs the whole session. The classic reading is a change in control: buyers who were absent during the decline are suddenly in charge.

The bearish belt hold is the mirror: the session opens at a new high of the rally, sometimes on a gap up, and sellers push price down from the first trade to the close. The top of the candle becomes a level to watch as resistance.

That reading is plausible, but it describes one session. Whether one session of control after a trend predicts the next bars is a question for data. We answer it in the reliability section below.

How to trade the bullish belt hold pattern

The classic bullish belt hold trading setup buys a break above the high of the candle, with a stop loss at its low and a target set as a multiple of the risk. This is the trading rule our bench simulates on every occurrence.

TPSLEntryBullish
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 3,000 daily occurrences drawn at random from all markets.
TPSLEntryBearish
Entry
Sell stop at the pattern low
Stop loss (SL)
At the pattern high
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 3,000 daily occurrences drawn at random from all markets.

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.

◂ Pattern233.9204.6+10 barsTPSLEntry2021-10
TextbookBA November 1, 2021Daily chart8.6% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R

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.

◂ Pattern121.2184.69+10 barsTPSLEntry2018-112019-01
TextbookCAT December 4, 2018Daily chart5.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Identifying the entry point

Setting stop loss and profit targets

The natural stop loss is the low of the candle, which is also its opening price. If price trades below it, the session of buying has been erased. The stop covers the whole candle, so the risk is wide on a long one: size the position on the distance from entry to stop. Our bench sets the target at twice the risk (a 2:1 reward-to-risk ratio); a target at the next resistance level is an alternative we did not test. On daily data, trades that reached the 2:1 target took a median of 8 days; trades that were stopped took a median of 4 days. A trap worth knowing: of the daily trades that hit their stop, 24.3% had first been up 1 R.

How to trade the bearish belt hold pattern

Trading the bearish belt hold pattern uses the same setup upside down: sell a break below the low of the candle, stop loss at its high, target at twice the risk.

Spotting the reversal signal

The signal is complete at the close of the candle. Look for a long black body that opens at a new high of the rally, ideally at a known resistance level (a filter we have not tested). A sell stop just below the low of the candle confirms that sellers are still in control on the following sessions. On daily data, that entry was triggered in 78.9% of setups; 21.0% were canceled because price broke the high first.

Risk management strategies

The stop goes above the high of the candle, which is its opening price. Short trading on the stock market faces a headwind: the average stock rises over time, so a short taken on random dates loses money too. On daily data, trading the bearish belt hold pattern had an expectancy of −0.13 R per trade before costs, against −0.14 R for the same short on random dates. Keep the risk per trade small and fixed, and remember that a short can be stopped by a single gap.

Key differences between belt hold and marubozu

The two are easy to confuse, and the difference is simple:

  • A full marubozu has no shadow at either end; a belt hold may keep a shadow at the closing end.
  • A marubozu can appear anywhere; a belt hold needs a prior trend in the opposite direction.
  • A closing marubozu has no shadow at the close; the belt hold has none at the open.

The results are close too. On daily data, white marubozu candles were higher 10 bars later 52.7% of the time against 54.2% for random bars; price was higher 53.4% of the time after a bullish belt hold pattern, against 53.5%. Neither beat chance on that 10-bar measure: the white marubozu reads Weak, below chance, and the bullish belt hold No clear edge.

Two-candle cousins exist. A bullish engulfing can have a belt hold as its second candle, and the kicking pattern is two opposite marubozu separated by a gap.

The importance of volume in confirmation

Volume above average on the pattern is read as a sign that the reversal had participation. We measured it. On daily data, a bullish belt hold pattern printed on volume above 1.5 times the 20-day average reached the 2:1 target in 37.8% of cases, against 37.0% on normal volume, with an expectancy of +0.16 R against +0.11 R. For the bearish version, high volume left the target rate flat (28.8% against 29.2%), with an expectancy of −0.10 R against −0.13 R. This breakdown is descriptive (not corrected for the number of tests): treat volume as a small difference, not a filter that changes the odds.

Reliability and limitations of the pattern

The belt hold candlestick pattern is not reliable on its own: on no market or timeframe we tested did its average excess return over the rest of the market pass our statistical test in the expected direction, and on hourly charts both versions moved against the expected direction relative to their market: the bullish version reads worse than chance (−0.06%), the bearish one weak, below chance (−0.04%). Here are the trading statistics from our test bench, which applies the same rule to full market history.

53.4%vs 53.5% at random

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

Measured on 92,237 daily bullish belt hold occurrences across 2,331 assets. Random bars on the same assets are the honest baseline.

No clear edge
46.3%vs 45.6% at random

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

Measured on 127,909 daily bearish belt hold occurrences across 2,313 assets. Random bars on the same assets are the honest baseline.

No clear edge

Bullish belt hold 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 laterBullish belt holdRandom bars
  • All markets
    All markets, Bullish belt hold: 53.4%
    All markets, Random bars: 53.5%
  • Crypto
    Crypto, Bullish belt hold: 43.8%
    Crypto, Random bars: 43.6%
  • US stocks
    US stocks, Bullish belt hold: 53.8%
    US stocks, Random bars: 54.0%
  • Forex
    Forex, Bullish belt hold: 50.4%
    Forex, Random bars: 50.2%
  • ETFs
    ETFs, Bullish belt hold: 57.1%
    ETFs, Random bars: 56.4%
  • Indices
    Indices, Bullish belt hold: 56.3%
    Indices, Random bars: 57.3%
  • Commodities
    Commodities, Bullish belt hold: 54.2%
    Commodities, Random bars: 51.7%
2:1 trade hit its targetBullish belt hold tradeSame trade, random dates
  • All markets
    All markets, Bullish belt hold trade: 37.1%
    All markets, Same trade, random dates: 36.1%
  • Crypto
    Crypto, Bullish belt hold trade: 37.8%
    Crypto, Same trade, random dates: 33.8%
  • US stocks
    US stocks, Bullish belt hold trade: 37.0%
    US stocks, Same trade, random dates: 36.2%
  • Forex
    Forex, Bullish belt hold trade: 31.8%
    Forex, Same trade, random dates: 32.8%
  • ETFs
    ETFs, Bullish belt hold trade: 40.1%
    ETFs, Same trade, random dates: 36.8%
  • Indices
    Indices, Bullish belt hold trade: 40.8%
    Indices, Same trade, random dates: 38.0%
  • Commodities
    Commodities, Bullish belt hold trade: 38.4%
    Commodities, Same trade, random dates: 36.0%

Bearish belt hold 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 laterBearish belt holdRandom bars
  • All markets
    All markets, Bearish belt hold: 46.3%
    All markets, Random bars: 45.6%
  • Crypto
    Crypto, Bearish belt hold: 57.9%
    Crypto, Random bars: 55.1%
  • US stocks
    US stocks, Bearish belt hold: 46.1%
    US stocks, Random bars: 45.4%
  • Forex
    Forex, Bearish belt hold: 52.3%
    Forex, Random bars: 48.9%
  • ETFs
    ETFs, Bearish belt hold: 42.1%
    ETFs, Random bars: 42.7%
  • Indices
    Indices, Bearish belt hold: 43.0%
    Indices, Random bars: 42.5%
  • Commodities
    Commodities, Bearish belt hold: 46.8%
    Commodities, Random bars: 47.5%
2:1 trade hit its targetBearish belt hold tradeSame trade, random dates
  • All markets
    All markets, Bearish belt hold trade: 29.2%
    All markets, Same trade, random dates: 28.8%
  • Crypto
    Crypto, Bearish belt hold trade: 32.0%
    Crypto, Same trade, random dates: 29.3%
  • US stocks
    US stocks, Bearish belt hold trade: 28.9%
    US stocks, Same trade, random dates: 28.7%
  • Forex
    Forex, Bearish belt hold trade: 34.2%
    Forex, Same trade, random dates: 32.9%
  • ETFs
    ETFs, Bearish belt hold trade: 29.2%
    ETFs, Same trade, random dates: 29.0%
  • Indices
    Indices, Bearish belt hold trade: 33.1%
    Indices, Same trade, random dates: 31.4%
  • Commodities
    Commodities, Bearish belt hold trade: 29.3%
    Commodities, Same trade, random dates: 29.9%
All statistics

Full results for the belt hold candlestick pattern, market by market

Every occurrence our rule finds on full price history, compared with what the same assets did on random bars. A pattern only earns an edge if it beats random entries after correcting for the thousands of tests we run.

Our verdict

Not a reliable signal on its own here. Use it as context, not as a trigger.

10-bar move No clear edge2:1 trade No clear edge

Bullish belt hold: 92,237 occurrences tested

Bullish pattern · All markets · Daily · 2,331 assets · 1970-03 to 2026-10

Moved the expected way after 10 bars
53.4%
vs 53.5% on random bars
Excess return vs its market, 10 bars
+0.01%
95% interval −0.06% to +0.09%
its market−3%+3%
2:1 trade hit the target
37.1%
vs 36.1% for the same trade on random dates
Average result per trade
+0.12 R
vs +0.09 R on random dates

What this means. No measurable difference from the rest of its market over the next 10 bars.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 75,279 triggered entries
Stop order beyond the pattern's extreme. 158 of these entries are not among the 75,121 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
8 days · middle half 4 to 16 · on 27,897 trades that hit it
Time to the stop, when hit
4 days · middle half 2 to 9 · on 46,723 trades that hit it
Time in the trade, all exits
5 days · middle half 2 to 12 · on 75,121 trades

Size and trade path

Pattern range, high to low
3.6% · middle half 2.5% to 5.5% · on 92,237 occurrences
Range vs average bar (ATR)
1.18× · middle half 0.98× to 1.46× · on 92,237 occurrences
Best open profit during the trade
1.13 R · middle half 0.33 R to 2.12 R · on 75,121 trades
Stopped trades that were first up 1 R
24.3% · on 46,723 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
81.6% · on 92,237 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: long white candle opening at its low (very short lower shadow). 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 (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.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
Crypto · 1-hour156,96548.3%48.0%−0.07%Opposite of the textbook
Forex · 1-hour20,58150.4%50.6%−0.001%No clear edge
All markets · 1-hour177,54648.5%48.3%−0.06%Opposite of the textbook
Crypto · 4-hour34,08944.7%47.1%−0.13%Weak, below chance
Forex · 4-hour4,98650.6%50.5%+0.004%No clear edge
All markets · 4-hour39,07545.5%47.6%−0.11%Weak, below chance
Crypto · Daily5,31643.8%43.6%−0.36%No clear edge
US stocks · Daily79,68153.8%54.0%+0.04%No clear edge
ETFs · Daily2,79457.1%56.4%+0.05%No clear edge
Indices · Daily2,26456.3%57.3%−0.18%Weak, below chance
Forex · Daily1,23150.4%50.2%−0.05%No clear edge
Commodities · Daily95154.2%51.7%+0.43%No clear edge
All markets · Daily92,23753.4%53.5%+0.01%No clear edge
Crypto · Weekly44735.3%37.2%−2.76%Not enough data
US stocks · Weekly11,33556.5%57.2%−0.50%No clear edge
ETFs · Weekly47559.2%60.5%−0.71%No clear edge
Indices · Weekly28064.6%62.3%−0.65%No clear edge
Forex · Weekly30948.8%49.2%+0.06%No clear edge
Commodities · Weekly20852.9%53.1%+0.58%No clear edge
All markets · Weekly13,05455.8%56.6%−0.55%Weak, below chance

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
Crypto · 1-hour130,27132.8%32.7%−0.01 R vs −0.01 RNo clear edge
Forex · 1-hour17,42431.7%32.4%−0.04 R vs −0.01 RNo clear edge
All markets · 1-hour147,69532.6%32.7%−0.01 R vs −0.01 RNo clear edge
Crypto · 4-hour28,00732.9%32.7%+0.01 R vs 0.00 RNo clear edge
Forex · 4-hour4,19332.2%32.8%−0.02 R vs −0.01 RNo clear edge
All markets · 4-hour32,20032.8%32.7%+0.01 R vs 0.00 RNo clear edge
Crypto · Daily4,14237.8%33.8%+0.14 R vs +0.02 RNo clear edge
US stocks · Daily65,03137.0%36.2%+0.11 R vs +0.09 RNo clear edge
ETFs · Daily2,21340.1%36.8%+0.20 R vs +0.10 RNo clear edge
Indices · Daily1,89540.8%38.0%+0.23 R vs +0.15 RNo clear edge
Forex · Daily1,03531.8%32.8%−0.04 R vs −0.01 RNo clear edge
Commodities · Daily80538.4%36.0%+0.17 R vs +0.09 RNo clear edge
All markets · Daily75,12137.1%36.1%+0.12 R vs +0.09 RNo clear edge
Crypto · Weekly29937.8%33.9%+0.13 R vs +0.02 RNot enough data
US stocks · Weekly9,65341.7%40.7%+0.26 R vs +0.24 RNo clear edge
ETFs · Weekly41947.3%38.7%+0.43 R vs +0.19 RNo clear edge
Indices · Weekly25452.8%38.6%+0.58 R vs +0.16 RPromising
Forex · Weekly25629.7%29.4%−0.11 R vs −0.12 RNo clear edge
Commodities · Weekly18137.0%42.6%+0.12 R vs +0.28 RNo clear edge
All markets · Weekly11,06241.7%40.2%+0.26 R vs +0.22 RNo clear edge

Our verdict

Not a reliable signal on its own here. Use it as context, not as a trigger.

10-bar move No clear edge2:1 trade No clear edge

Bearish belt hold: 127,909 occurrences tested

Bearish pattern · All markets · Daily · 2,313 assets · 1970-04 to 2026-10

Moved the expected way after 10 bars
46.3%
vs 45.6% on random bars
Excess return vs its market, 10 bars
−0.01%
95% interval −0.08% to +0.06%
Excess return is signed so that positive favors the pattern. On a bearish setup, it means the asset lagged its market.
its market−3%+3%
2:1 trade hit the target
29.2%
vs 28.8% for the same trade on random dates
Average result per trade
−0.13 R
vs −0.14 R on random dates

What this means. No measurable difference from the rest of its market over the next 10 bars.

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 1 · on 100,932 triggered entries
Stop order beyond the pattern's extreme. 258 of these entries are not among the 100,674 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
7 days · middle half 3 to 13 · on 29,389 trades that hit it
Time to the stop, when hit
4 days · middle half 2 to 9 · on 70,492 trades that hit it
Time in the trade, all exits
5 days · middle half 2 to 11 · on 100,674 trades

Size and trade path

Pattern range, high to low
3.0% · middle half 2.1% to 4.6% · on 127,909 occurrences
Range vs average bar (ATR)
1.21× · middle half 1.00× to 1.49× · on 127,909 occurrences
Best open profit during the trade
0.87 R · middle half 0.29 R to 2.05 R · on 100,674 trades
Stopped trades that were first up 1 R
23.8% · on 70,492 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
78.9% · on 127,909 occurrences

Medians, each on the cases named on its line; "middle half" spans the 25th to 75th percentile; no value under 30 cases.

How we detect it. After an uptrend: long black candle opening at its high (very short upper shadow). 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 (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.
MarketOccurrencesPatternRandom barsExcess10-bar move verdict
Crypto · 1-hour149,17850.2%50.6%−0.04%Weak, below chance
Forex · 1-hour21,94747.7%49.2%0.000%No clear edge
All markets · 1-hour171,12549.9%50.5%−0.04%Weak, below chance
Crypto · 4-hour32,05049.0%51.9%−0.08%No clear edge
Forex · 4-hour5,06249.3%49.2%+0.02%No clear edge
All markets · 4-hour37,11249.0%51.6%−0.07%No clear edge
Crypto · Daily4,54857.9%55.1%−0.02%No clear edge
US stocks · Daily113,19446.1%45.4%−0.01%No clear edge
ETFs · Daily5,08642.1%42.7%−0.05%No clear edge
Indices · Daily3,13543.0%42.5%−0.11%Weak, below chance
Forex · Daily77952.3%48.9%+0.09%No clear edge
Commodities · Daily1,16746.8%47.5%−0.09%No clear edge
All markets · Daily127,90946.3%45.6%−0.01%No clear edge
Crypto · Weekly47971.6%60.1%−1.19%Not enough data
US stocks · Weekly20,52041.8%42.0%−0.14%No clear edge
ETFs · Weekly99337.5%37.4%−0.30%No clear edge
Indices · Weekly62540.1%37.4%+0.24%No clear edge
Forex · Weekly13549.3%47.7%+0.17%No clear edge
Commodities · Weekly26045.3%45.8%+0.50%No clear edge
All markets · Weekly23,01242.2%42.1%−0.15%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.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
Crypto · 1-hour122,53231.0%32.0%−0.04 R vs −0.02 RNo clear edge
Forex · 1-hour18,73528.7%32.1%−0.12 R vs −0.02 ROpposite of the textbook
All markets · 1-hour141,26730.7%32.0%−0.05 R vs −0.02 RWeak, below chance
Crypto · 4-hour25,68330.7%31.3%−0.04 R vs −0.03 RNo clear edge
Forex · 4-hour4,26531.0%31.5%−0.05 R vs −0.04 RNo clear edge
All markets · 4-hour29,94830.7%31.3%−0.04 R vs −0.03 RNo clear edge
Crypto · Daily3,59332.0%29.3%+0.06 R vs −0.05 RNo clear edge
US stocks · Daily89,29228.9%28.7%−0.14 R vs −0.14 RNo clear edge
ETFs · Daily3,76929.2%29.0%−0.15 R vs −0.14 RNo clear edge
Indices · Daily2,42033.1%31.4%−0.01 R vs −0.06 RNo clear edge
Forex · Daily65234.2%32.9%+0.03 R vs −0.01 RNo clear edge
Commodities · Daily94829.3%29.9%−0.13 R vs −0.11 RNo clear edge
All markets · Daily100,67429.2%28.8%−0.13 R vs −0.14 RNo clear edge
Crypto · Weekly24239.3%18.3%+0.26 R vs −0.39 RNot enough data
US stocks · Weekly16,08224.9%24.5%−0.24 R vs −0.25 RNo clear edge
ETFs · Weekly72727.4%27.5%−0.17 R vs −0.16 RNo clear edge
Indices · Weekly48829.3%26.5%−0.11 R vs −0.19 RNo clear edge
Forex · Weekly11028.2%32.9%−0.13 R vs 0.00 RNo clear edge
Commodities · Weekly21729.5%26.9%−0.10 R vs −0.17 RNo clear edge
All markets · Weekly17,86625.4%24.7%−0.22 R vs −0.24 RNo 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 bullish belt hold is a reliable reversal signal.”

What our data shows

On 92,237 daily occurrences, it moved in the expected direction 53.4% of the time, against 53.5% for random bars: no clear edge, since the average excess return is not statistically significant.

What you often read

“The bearish belt hold is a reliable reversal signal.”

What our data shows

On 127,909 daily occurrences, it moved in the expected direction 46.3% of the time, against 45.6% for random bars: no clear edge, since the average excess return is not statistically significant.

Bullish belt hold

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeCandles tested (2:1 trades)Higher 10 bars laterRandom bars2:1 target hitSame trade, random datesExpectancy (R)
All markets, daily92,237 (75,121)53.4%53.5%37.1%36.1%+0.12 (random +0.09)
US stocks, daily79,681 (65,031)53.8%54.0%37.0%36.2%+0.11 (random +0.09)
Crypto, hourly156,965 (130,271)48.3%48.0%32.8%32.7%−0.01 (random −0.01)
Crypto, 4-hour34,089 (28,007)44.7%47.1%32.9%32.7%+0.01 (random 0.00)
Forex, hourly20,581 (17,424)50.4%50.6%31.7%32.4%−0.04 (random −0.01)
All markets, weekly13,054 (11,062)55.8%56.6%41.7%40.2%+0.26 (random +0.22)

Bearish belt hold

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeCandles tested (2:1 trades)Lower 10 bars laterRandom bars2:1 target hitSame trade, random datesExpectancy (R)
All markets, daily127,909 (100,674)46.3%45.6%29.2%28.8%−0.13 (random −0.14)
US stocks, daily113,194 (89,292)46.1%45.4%28.9%28.7%−0.14 (random −0.14)
Crypto, hourly149,178 (122,532)50.2%50.6%31.0%32.0%−0.04 (random −0.02)
Crypto, 4-hour32,050 (25,683)49.0%51.9%30.7%31.3%−0.04 (random −0.03)
Forex, hourly21,947 (18,735)47.7%49.2%28.7%32.1%−0.12 (random −0.02)
All markets, weekly23,012 (17,866)42.2%42.1%25.4%24.7%−0.22 (random −0.24)

How to read these tables

Read each table in pairs of columns. On daily data, 53.4% of bullish belt hold patterns were followed by a gain 10 days later. That sounds bullish until you see that random bars on the same assets rose 53.5% of the time: the average stock or coin rises a little more often than it falls. The excess return over the rest of the market after 10 days is +0.01%, practically zero, with a 95% confidence interval from −0.06% to +0.09%. Zero is inside the interval: no clear edge.

The 2:1 trade columns tell a similar story. Trading the bullish belt hold pattern on daily data, the 2:1 setup reached its target 37.1% of the time, against 36.1% for the same entry, stop and target on random dates, for +0.12 R per trade before costs against +0.09 R. The gap does not pass a simple significance test (p < 0.05), let alone our correction for multiple testing: the row reads No clear edge, and we do not count it as an edge. For the bearish version, the gap in average result per trade (−0.13 R against −0.14 R, with 29.2% of targets hit against 28.8%) does not pass it either. Fees and slippage would take part of either difference.

One pattern of results is worth knowing: on hourly data, the next bar after a bullish belt hold rose only 45.8% of the time, against 48.0% for random bars, and the next bar after a bearish one fell 46.2% of the time, against 48.7%. These one-bar figures are descriptive: they are not part of the tables on this page and we did not test them for significance. They describe a one-bar pullback, not a tested effect.

Why context matters in technical analysis

We split each daily bullish belt hold pattern by the 200-day moving average. Above it (a pullback in a long-term uptrend), 53.9% were higher 10 days later; below it, 53.2%. The 2:1 trade gave +0.12 R above it and +0.12 R below it. For the bearish version, the trade gave −0.13 R above the average and −0.11 R below it. The larger trend barely changed the result. Over time, the bullish excess return stayed close to zero in both halves: it was +0.03% in the first half of the history and 0.00% in the second. These splits are descriptive, not in the tables and not corrected for the number of tests.

Common mistakes to avoid when trading belt holds

  • Calling any long candlestick a belt hold. Without a prior trend in the opposite direction, it is just an opening marubozu.
  • Expecting the candle to work as a trading system on its own. In our tests it showed no edge that survives our correction for multiple testing, on any market or timeframe.
  • Entering at the close and expecting the move to extend right away. On hourly data, the next bar more often went against the candle (a descriptive figure, not tested for significance).
  • Setting the stop inside the candle to make the risk look smaller, then sizing the position as if the risk were small.
  • Holding for a big reversal. Of the daily bullish trades that hit their stop, 24.3% had first been up 1 R.

Indicators that pair well with the belt hold

Since the candle alone has no proven edge, some traders combine it with technical indicators that describe the trend or the momentum around it. Indicators do not change what the candlestick is; they add a second, independent reason to act, or not to act.

Using moving averages for trend confirmation

The 200-day moving average is the filter we tested, and it barely moved the result (see above). Some traders use shorter averages, such as the 20 or 50-day, to define the pullback: for them, a bullish belt hold candle that forms at a rising 50-day average in a larger uptrend is the setup to look for. We have not tested that version.

Incorporating RSI for overbought or oversold levels

One trading rule is to take a bullish belt hold pattern only when the RSI is oversold (below 30), and a bearish one only when it is overbought (above 70), on the idea that the prior trend is stretched. We have not tested an RSI filter: if you use one, test it on your own market before you rely on it.

Other indicators traders use

Other indicators that can be paired with the belt hold pattern are the MACD and the stochastic oscillator for momentum, support and resistance levels for location, and the ATR for sizing the stop. We have not tested these indicators: they are trading habits, not measured filters.

Belt hold patterns across different time frames

Belt hold patterns form on every market and timeframe, and no timeframe kept an edge over chance after our correction for multiple testing. The pattern is frequent: about one bullish belt hold every 92 daily bars and one bearish every 66, and on hourly charts about one bullish every 95 bars and one bearish every 98. On stocks, weekly data shows the best raw numbers for the bullish version (41.7% of 2:1 targets hit, +0.26 R), but random weeks on the same stocks did almost as well (40.7%, +0.24 R): weekly stock charts trend up, and any long trade benefits.

One subgroup that looks good is on indices. On weekly index charts, bullish belt hold trades reached the 2:1 target 52.8% of the time against 38.6% on random dates (+0.58 R against +0.16 R), on only 254 trades, and that gap passes a simple test but not our correction for multiple testing: the row reads Promising, not a confirmed edge. On daily index charts, both versions had an average 10-bar excess return below zero (−0.18% bullish, −0.11% bearish), a gap that passes a simple test but not our correction for multiple testing. On weekly charts, all markets together, the bullish version also lagged the rest of the market slightly (−0.55%), with the same unconfirmed status.

Real-world examples of belt hold setups

Here are real patterns, picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome.

Real occurrences from our test bench, each on its market's main timeframe. Category cards on crypto and US stocks come from liquid assets only (the largest coins, the most traded stocks). Best and Worst are the best and worst 2:1 trade results, Textbook the cleanest shapes (chosen on geometry alone, never on the outcome), Most recent the latest detections among the assets the gallery draws from, Typical a random draw. Bullish belt hold pattern: on crypto, 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. Stock and ETF prices are adjusted for splits and dividends, so they can differ from the prices quoted at the time. We left out 74 cards: 66 with a shape that does not read as the definition on this page, 8 with a candle that is the thin first bar of the trading week. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Market

Real occurrences 1 of the 156,965 occurrences on crypto (1-hour charts)

Crypto overallAcross 156,965 bullish belt hold occurrences on 1-hour charts, price moved the expected way 10 bars later 48.3% of the time, against 48.0% for random bars. The verdict rests on the average excess return over the rest of the market, −0.07% (positive favors the pattern), not on this rate.Opposite of the textbookThe example below is a single case.
◂ Pattern31.7212.37+10 barsTPSLEntry2022-11
SOL November 9, 20221-hour chart37.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
US stocks overallAcross 79,681 daily bullish belt hold occurrences, price moved the expected way 10 bars later 53.8% of the time, against 54.0% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern20.9917.48+10 barsTPSLEntry2004-08
Worst tradeMRK September 27, 2004Daily chart30.9% against the expected direction after 10 bars2:1 trade: stopped out, −6.36 RAfter the pattern, price left the chart: low 12.89 on October 11, 2004.
◂ Pattern113.3105.8+10 barsTPSLEntry2017-03
Worst tradeIBM April 17, 2017Daily chart7.2% against the expected direction after 10 bars2:1 trade: stopped out, −5.68 RAfter the pattern, price left the chart: low 98.09 on May 5, 2017.
◂ Pattern233.9204.6+10 barsTPSLEntry2021-10
TextbookBA November 1, 2021Daily chart8.6% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern21.0212.59+10 barsTPSLEntry1998-07
TypicalBAC August 17, 1998Daily chart21.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern85.8272.37+10 barsTPSLEntry2024-09
TypicalNKE October 9, 2024Daily chart2.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Forex overallAcross 20,581 bullish belt hold occurrences on 1-hour charts, price moved the expected way 10 bars later 50.4% of the time, against 50.6% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern1.881.87TPSLEntry2026-102026-10
Most recentGBP/CAD October 23, 20261-hour chart2:1 trade: in progress
◂ Pattern1.361.35+10 barsTPSLEntry2022-02
TypicalGBP/USD February 4, 20221-hour chart0.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern70.1069.28+10 barsTPSLEntry2019-112019-11
TypicalNZD/JPY November 4, 20191-hour chart0.6% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
ETFs overallAcross 2,794 daily bullish belt hold occurrences, price moved the expected way 10 bars later 57.1% of the time, against 56.4% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern17.0914.64+10 barsTPSLEntry2014-10
Worst tradeSLV October 31, 2014Daily chart0.8% in the expected direction after 10 bars2:1 trade: stopped out, −2.72 R
◂ Pattern225.0190.6+10 barsTPSLEntry2015-08
TextbookUNG September 3, 2015Daily chart4.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern434.6379.1+10 barsTPSLEntry2007-03
TypicalUSO April 23, 2007Daily chart6.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Indices overallAcross 2,264 daily bullish belt hold occurrences, price moved the expected way 10 bars later 56.3% of the time, against 57.3% for random bars. The verdict rests on the average excess return over the rest of the market, −0.18% (positive favors the pattern), not on this rate.Weak, below chanceThe examples below are single cases.
◂ Pattern5,6595,316+10 barsTPSLEntry2017-03
Best tradeNasdaq 100 April 17, 2017Daily chart4.3% in the expected direction after 10 bars2:1 trade: target hit, +3.29 R
◂ Pattern6,1065,769+10 barsTPSLEntry2017-03
Best tradeNasdaq Composite April 17, 2017Daily chart4.0% in the expected direction after 10 bars2:1 trade: target hit, +3.19 R
◂ Pattern646.4541.0+10 barsTPSLEntry1995-10
TextbookNasdaq 100 November 28, 1995Daily chart2.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern60,53357,085+10 barsTPSLEntry2023-02
TypicalBSE Sensex March 3, 2023Daily chart3.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern6,2975,772+10 barsTPSLEntry2020-08
TypicalFTSE 100 September 7, 2020Daily chart2.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Market
Examples
Crypto overallAcross 149,178 bearish belt hold occurrences on 1-hour charts, price moved the expected way 10 bars later 50.2% of the time, against 50.6% for random bars. The verdict rests on the average excess return over the rest of the market, −0.04% (positive favors the pattern), not on this rate.Weak, below chanceThe examples below are single cases.
◂ Pattern27.8924.38+10 barsTPSLEntry2021-102021-10
TextbookLINK October 7, 20211-hour chart0.5% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern36.1030.33+10 barsTPSLEntry2020-12
TypicalBNB December 27, 20201-hour chart4.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
US stocks overallAcross 113,194 daily bearish belt hold occurrences, price moved the expected way 10 bars later 46.1% of the time, against 45.4% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern24.2021.19+10 barsTPSLEntry2003-09
Best tradeBAC October 15, 2003Daily chart9.4% in the expected direction after 10 bars2:1 trade: target hit, +6.28 R
◂ Pattern28.2123.16+10 barsTPSLEntry2013-06
Worst tradeMETA July 18, 2013Daily chart43.2% against the expected direction after 10 bars2:1 trade: stopped out, −8.13 RAfter the pattern, price left the chart: high 38.95 on August 5, 2013.
◂ Pattern192.9139.4+10 barsTPSLEntry2024-10
Worst tradeCOF October 31, 2024Daily chart12.8% against the expected direction after 10 bars2:1 trade: stopped out, −5.96 R
◂ Pattern121.2184.69+10 barsTPSLEntry2018-112019-01
TextbookCAT December 4, 2018Daily chart5.4% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern200.2130.4+10 barsTPSLEntry2025-11
TypicalCOHR December 12, 2025Daily chart6.0% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern335.4287.7+10 barsTPSLEntry2023-06
TypicalGS July 14, 2023Daily chart8.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Forex overallAcross 21,947 bearish belt hold occurrences on 1-hour charts, price moved the expected way 10 bars later 47.7% of the time, against 49.2% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern0.64180.6384+10 barsTPSLEntry2025-04
TextbookAUD/USD April 30, 20251-hour chartNo net move after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern1.241.23TPSLEntry2026-102026-10
Most recentAUD/NZD October 23, 20261-hour chart2:1 trade: not triggered
◂ Pattern0.97270.9563+10 barsTPSLEntry2024-04
TypicalEUR/CHF April 19, 20241-hour chart0.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern0.85780.8546+10 barsTPSLEntry2024-022024-02
TypicalEUR/GBP February 20, 20241-hour chartNo net move after 10 bars2:1 trade: stopped out, −1.00 R
Examples
ETFs overallAcross 5,086 daily bearish belt hold occurrences, price moved the expected way 10 bars later 42.1% of the time, against 42.7% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern237.4208.6+10 barsTPSLEntry2024-09
Worst tradeIWM October 21, 2024Daily chart0.9% in the expected direction after 10 bars2:1 trade: stopped out, −3.58 R
◂ Pattern101.0484.00+10 barsTPSLEntry2019-06
TextbookUSO July 2, 2019Daily chart0.4% against the expected direction after 10 bars2:1 trade: invalidated before entry
Pattern ▸81.9276.432026-092026-10
Most recentTLT October 28, 2026Daily chart2:1 trade: not triggered
◂ Pattern34.6231.97+10 barsTPSLEntry2003-10
TypicalVTI November 11, 2003Daily chart0.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.15 R

A bullish belt hold that reached its target

On March 26, 2021, after a decline, DOT/USDT opened at 29.8059, dipped to 29.7894 and closed at 33.1782, near its high of 33.3689. The buy stop at 33.3689 was triggered the next day, with a stop at 29.7894 and a 2:1 target at 40.5279. Price pulled back to 31.1119 without breaking the low, then rallied and reached the target on April 2, 2021. DOT was 38.0% higher 10 days after the candle: here the reversal came fast.

A bearish belt hold that needed patience

On April 19, 2023, after a rally, DOT/USDT opened at 6.916, just below its high of 6.92, and closed at 6.309. The sell stop at 6.24 was triggered the next day, with a stop at 6.92 and a 2:1 target at 4.88. DOT was 4.2% lower 10 days after the candle, then drifted down for weeks without breaking the high (the highest point was 6.438) and reached the target on June 10, 2023.

Failed belt hold setups

On January 30, 2023, XLM/USDT printed a bearish belt hold that opened at 0.0945 and closed at 0.0899. The short at 0.0881 was triggered on February 1, with a stop at 0.0949. Price fell to 0.0817 on February 13, short of the 0.0745 target, then rallied and hit the stop on February 20: a full 1 R loss.

On August 8, 2018, Lumentum (LITE) printed a bearish belt hold that opened at its high of 61.00 and closed at 56.50. The share price never broke the 54.05 low, and on August 16 it traded above 61.00, so the setup was canceled without a trade. LITE kept rising and was 11.8% higher 10 sessions after the candle: here the cancellation rule kept the trader out of a losing short.

Tools for finding belt hold patterns

You can scan for this candlestick pattern with a charting tool that flags candlestick patterns, such as TradingView, or with the CDLBELTHOLD function of the open-source TA-Lib library. Check which definition your tools apply: thresholds for a "long" body and a "short" shadow differ, and some tools require no prior trend at all. Before trading the pattern with real money, mark the last 50 occurrences on your market, write down the entry, stop and target, and compare the outcome with the same trade on random days. That is the test we run at scale.

Frequently asked questions

Is the belt hold a reliable standalone signal?

No. In our tests, neither the bullish nor the bearish version moved in the expected direction relative to its market over the next 10 bars by a margin that passes our test, on any market or timeframe, and on hourly charts both moved against it.

Can a belt hold form during a strong trend?

By definition it forms against the trend: the bullish version after a decline, the bearish version after a rally. The same candle in the direction of the trend is an opening marubozu, read as continuation.

How does market volatility affect pattern accuracy?

The pattern is defined relative to recent candles, so it adapts to volatility. What changes is the risk: in volatile markets the candle is longer and the stop wider. On daily crypto data, the median bullish belt hold spans 10.60% of price, against 3.59% on stocks.

Does the belt hold work in forex and crypto markets?

We tested both. On hourly forex, over 17,424 bullish belt hold trades, the 2:1 target was reached 31.7% of the time, against 32.4% for random dates (−0.04 R against −0.01 R). On hourly crypto, over 130,271 trades, it was reached 32.8% of the time against 32.7%, with an expectancy of −0.01 R against −0.01 R on random dates before costs. Neither gap in average result per trade is statistically significant. The bearish version did worse on hourly forex: −0.12 R per trade against −0.02 R for the same short on random dates, a row rated Worse than chance.

Is the belt hold pattern good for day trading?

Not on its own. Day trading relies on hourly and shorter timeframes, and on hourly data the next bar after the pattern went against it more often than after a random bar, a descriptive figure we did not test for significance, and 10 bars later both versions moved against the expected direction relative to their market, the bullish one by a gap that survives our correction, the bearish one by a gap that passes a simple test only. The 2:1 trading setup on hourly crypto and forex had an expectancy at or below zero before costs, and costs weigh more on short timeframes.

What is the difference between a belt hold and an engulfing pattern?

The belt hold is one candlestick. The engulfing pattern is two candles, the second body covering the first. A belt hold can be the second candle of an engulfing pattern, but it does not need to cover the previous body.

Summary

  • A belt hold is a long candle with no shadow at the open, against the prior trend: bullish after a decline, bearish after a rally.
  • It is an opening marubozu placed at the end of a trend.
  • On 92,237 daily bullish belt holds, 53.4% were higher 10 days later, against 53.5% for random bars on the same assets.
  • The 2:1 trading setup on the daily bullish belt hold pattern averaged +0.12 R before costs, against +0.09 R for the same trade on random dates, a gap that does not pass our statistical test.
  • Volume and the 200-day moving average changed the results only slightly, and on hourly data the next bar more often went against the candle (descriptive, not tested).

If you use this pattern in your trading, treat it as information about one session, not as a forecast. Define the stop at the opening end of the candle before entry, 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 applies the same published rules to full market history: crypto, forex, US stocks, ETFs, indices and commodities. Trades and win rates are compared with random bars on the same assets, excess returns with the rest of the market, with error margins and a correction for multiple testing, and the whole pipeline is checked on random-walk prices, where nothing can be predicted. Statistics on this page were generated on November 5, 2026. The full methodology explains every step. This page is educational and is not investment advice: trading involves a risk of loss, and past results do not predict future ones.

, 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