Pattern direction

Chart patternBullish Bart SimpsonBearish Bart Simpson

Bart Simpson Pattern: What It Is, Why It Forms and How to Trade It

A spike, a flat plateau, a sharp move back: how to spot and trade the Bart Simpson pattern, and our test of it on 13,967 bullish and 9,384 bearish hourly crypto cases: the trade shows no clear edge over random entries.

· Founder of PatternsWizard
Updated Statistics updated 15 min read
TPSLEntryBullish breakoutTPSLEntryBearish breakout

How we tested this pattern

Sample
17,470 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1971 to 2026.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.bullish Bart Simpson pattern: A sharp decline to a bottom: the swing from the last confirmed high to the bottom falls at least 3 ATR, over at least 3 bars, at least 0.5 ATR per bar. Then a flat plateau, from the first bar within 10% of the decline of the bottom until the first close above its highest high: it lasts 1 to 3 times the decline, never rises more than 50% of the decline above the bottom, its bars average less than one ATR from high to low, and a straight line fitted to its closes moves less than 10% of the decline across it. Confirmed by that close. Stop at the bottom.bearish Bart Simpson pattern: A sharp rise to a top: the swing from the last confirmed low to the top rises at least 3 ATR, over at least 3 bars, at least 0.5 ATR per bar. Then a flat plateau, from the first bar within 10% of the rise of the top until the first close below its lowest low: it lasts 1 to 3 times the rise, never falls more than 50% of the rise below the top, its bars average less than one ATR from high to low, and a straight line fitted to its closes moves less than 10% of the rise across it. Confirmed by that close. Stop at the top.
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 Bart Simpson pattern data (JSON) · bearish Bart Simpson pattern data (JSON)

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At a glance: what textbooks say, what we measured
Pattern
Bullish Bart Simpson
Occurrences tested
8,494 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · −0.24% vs the market, 10 bars
Textbook: target reached most of the time
40.7% vs 41.9% on random dates
Where it did best, US stocks left out
Forex, 4-hour: +0.23 R 2:1 trade vs random dates, not proven
Verdict
10-bar move: Weak, below chance2:1 trade: No clear edge
Pattern
Bearish Bart Simpson
Occurrences tested
8,976 occurrences, all markets, daily
Textbook: price should fall after it
Too close to call · −0.06% vs the market, 10 bars
Textbook: target reached most of the time
36.3% vs 36.6% on random dates
Where it did best
Forex, 4-hour: +0.07 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 Bart Simpson pattern in trading?
  2. The anatomy of a Bart pattern
  3. Why does the Bart Simpson pattern occur?
  4. Bullish vs. bearish Bart patterns
  5. How to spot the Bart pattern in real time
  6. Real examples
  7. Trading strategies for the Bart Simpson pattern
  8. Is the Bart Simpson pattern a reliable indicator?
  9. The Bart pattern in the news
  10. Common mistakes to avoid
  11. Advantages and limitations
  12. Tools to find it
  13. Frequently asked questions
  14. Summary of key points

The Bart Simpson pattern is a crypto chart shape made of three moves: a sharp spike, a flat sideways plateau, then a steep move back to roughly where the spike started. Drawn out, the outline resembles the flat, spiky head of the cartoon character, which is where the name comes from. It is mostly discussed on short-term Bitcoin charts.

This guide explains how the Bart pattern forms, why it happens, how to tell the bearish version from the bullish one, and how traders handle it. It also says plainly how we tested it: the pattern has no standard definition, so our bench applies one reading of it, which we wrote and published, to the full price history of our six markets (crypto, currencies, stocks, ETFs, indices and commodities), and compares the result with random bars on the same assets.

What is the Bart Simpson pattern in trading?

The Bart Simpson pattern is an informal name for a price move that goes up (or down) abruptly, stalls in a tight sideways range, then turns just as sharply, erasing the first move. It belongs to crypto trading slang more than to classical technical analysis: you will not find it in the standard chart pattern books, and there is no specific, agreed rule for how steep, how flat or how long each part must be.

Where the name comes from

Bart Simpson is the son in The Simpsons, the animated series created by Matt Groening. His hair is drawn as a row of spikes on a perfectly flat top. A spike up, a flat plateau and a drop draw the same outline: the two vertical moves are the sides of his head and the plateau is the top. In English trading slang the shape is simply called "a Bart", and the name stuck because it is easy to recognize.

Why it is mostly a Bitcoin story

The name spread in cryptocurrency communities, mostly around Bitcoin. Coins trade around the clock, order books thin out outside peak hours, and crypto derivatives allow high leverage. Those are the conditions crypto traders blame for the shape; our bench does not test them. Unlike most classical figures, it is defined by speed as much as by outline.

The anatomy of a Bart pattern

Every Bart Simpson pattern has three parts. Each one gives different information about who is trading. Each anatomy chart is the median shape of a random sample of real daily setups from all markets. As its caption says, it keeps the setups with the most common number of swing points; among those, it keeps only setups with regular legs when enough of them exist, and it always leaves out those with two points on the same bar. That is why its count is smaller than the number of occurrences in the tables.

123
  1. Start of the spikelast confirmed swing high
  2. Bottomthe fall covers at least 0.5 ATR per bar; the stop sits here
  3. Close above the plateauafter a flat plateau lasting 1 to 3 times the fall, never more than 50% of the fall above the bottom
Median shape of 1,347 daily occurrences drawn at random from all markets. Kept: setups with regular legs when enough exist, with the most common number of swing points and no two swing points on the same bar.
123
  1. Start of the spikelast confirmed swing low
  2. Topthe rise covers at least 0.5 ATR per bar; the stop sits here
  3. Close below the plateauafter a flat plateau lasting 1 to 3 times the rise, never more than 50% of the rise below the top
Median shape of 1,366 daily occurrences drawn at random from all markets. Kept: setups with regular legs when enough exist, with the most common number of swing points and no two swing points on the same bar.

The sharp spike

The first leg is a sudden move of several candles in one direction, much larger than the recent average candle, in a short time. On an hourly chart it looks almost vertical. Some traders check whether volume rose during this leg; we have not tested whether it changes the outcome.

The consolidation phase

The market then stops and moves sideways in a narrow band, with small candles. This flat consolidation is the spiky top. It can last a few hours or several days. During this phase the market is waiting: the buyers who caused the spike are not adding, and sellers are not yet pushing.

The reversal move

The third leg is a steep move in the opposite direction that brings price back near the level where the spike started. This is what separates it from an ordinary flag: the move does not continue, it is erased. Once this leg is done, price sits roughly where it was before, which is why traders who were entering during the spike or the plateau are the ones who lose.

How we recognize one

  • A first leg worth several times the average true range (ATR) of recent candles, in a short time. Measuring in ATR keeps the test the same on a calm coin and a volatile one.
  • A sideways band above (or below) that leg, with candles smaller than the ATR, flat enough to draw with two horizontal lines, support below and resistance above.
  • A close outside the band, back toward the start of the spike: this is the signal our bench trades.
  • The Bart is complete only if price then retraces most of the first leg. Before that, there is only a spike, a pause and a break.

The last point matters. The shape is only visible once it is complete, which makes it easy to see in hindsight and hard to trade in advance. Our bench records the setup when price closes beyond the plateau, against the spike, and measures how often the spike is then erased.

Why does the Bart Simpson pattern occur?

No one has proved a single cause. Three mechanisms are put forward, and they can work together.

Liquidation cascades and leverage

Cryptocurrency derivatives allow high leverage. When the crypto price moves sharply, leveraged positions on the wrong side hit their liquidation threshold and are closed by force, which pushes price further. That chain of forced orders can create the first spike. Once it is done, there is no one left to push, and price goes flat. A move the other way can then trigger the same chain on the opposite side.

Whale activity and low-volume environments

When the order book is thin, a large buy or sell order moves price much more than it would in a busy market. Weekends and quiet nights are the examples crypto traders give. A large player who buys into a thin book can lift price sharply; when buying stops, price drifts sideways; when the position is sold, price falls back. Low liquidity can explain how a single participant draws the whole outline.

Market manipulation: what can and cannot be shown

The manipulation story goes like this: someone pumps price to squeeze short sellers, then dumps it to flush out buyers. Some episodes may fit that story, but a chart alone cannot prove it. The same outline can come from news, a large financial institution rebalancing, or plain liquidations. Treat the manipulation theory as a possibility, not as information you can trade on.

Bullish vs. bearish Bart patterns

Sources name the two versions differently, so the simplest rule is to name it by its last leg, the one that matters for your position.

Identifying a bearish Bart

The bearish version is the classic one: a sharp rally, a flat top, then a drop back into the previous range. It looks like Bart's head the right way up. This bearish reversal traps buyers who bought the spike or the plateau.

Identifying a bullish Bart

The bullish version, also called an inverted or reverse Bart, is the mirror image: a sharp drop, a flat bottom, then a recovery back to where the drop began. This bullish reversal traps sellers who shorted the drop or the flat bottom. It can be what a quick liquidation of long positions looks like once buyers return.

How it differs from similar patterns

FormationOutlineWhat happens after the flat part
Bart Simpson patternSharp move, flat band, sharp move backThe first move is erased
FlagFast move (the pole), small pause against itThe move continues in the direction of the pole
RectangleFlat support and resistanceBreakout on either side, no prior spike required
Island reversalGap, isolated cluster of bars, gap backPrice turns; the closest classical cousin
Dead cat bounceDecline, short rebound, decline againThe rebound fails; no flat plateau

The flag is the most useful comparison. A fast move followed by a pause is the start of both: if price breaks in the direction of the first move, it was a flag; if it breaks the other way and retraces the move, the spike was erased. While the plateau is forming, you cannot tell which one you are looking at.

How to spot the Bart pattern in real time

Because the shape only exists once it is complete, spotting it in real time really means spotting the conditions described for it. Here is what to look for; our bench has not tested these checks.

  1. Watch the hourly and 15-minute charts. A Bart can form and complete within a few days, which is invisible on a weekly chart. Shorter timeframes show the outline; the daily chart shows whether it matters.
  2. Check volume on the spike. A spike on high volume followed by a plateau on low volume is read as a move that has stopped attracting new orders.
  3. Mark the consolidation with two horizontal lines. These levels carry the key information: a break against the spike points to the reversal, a break that extends the spike points to a flag.
  4. Note the starting level of the spike. This is where a completed Bart would send price back, and it is the natural target of the last leg.
  5. Check the time of day. A spike during a weekend or a quiet session, without news, is the case the manipulation story describes, unlike a move on a major announcement.
  6. Check the higher timeframe trend. A bullish Bart inside a daily downtrend fights the larger trend.

Real examples

Real occurrences from our test bench, each on its market's main timeframe. Crypto examples come from liquid assets only (the largest coins). Best and Worst are the best and worst 2:1 trade results, Most recent the latest detections among the assets the gallery draws from, Typical a random draw. 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. We left out 7 cards with a shape that does not read as the definition on this page. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Examples
Crypto overallAcross 13,967 bullish Bart Simpson occurrences on 1-hour charts, price moved the expected way 10 bars later 43.3% of the time, against 48.1% for random bars. The verdict rests on the average excess return over the rest of the market, −0.22% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
PatternAfter8.556.76+10 barsTPSLEntry2021-01
Best tradeATOM January 28, 20211-hour chart12.5% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
PatternAfter82.1563.30+10 barsTPSLEntry2022-11
Worst tradeAAVE November 8, 20221-hour chart18.1% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
PatternAfter15.8410.51+10 barsTPSLEntry2022-112022-11
Worst tradeATOM November 8, 20221-hour chart14.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
PatternAfter1.251.07+10 barsTPSLEntry2026-10
Most recentDOT October 23, 20261-hour chart2.2% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
PatternAfter10.849.94+10 barsTPSLEntry2024-08
TypicalLINK August 12, 20241-hour chart2.0% in the expected direction after 10 bars2:1 trade: closed at −0.20 R, 100 bars after entry, past this chart
PatternAfter144.8126.7+10 barsTPSLEntry2024-04
TypicalSOL April 29, 20241-hour chart1.7% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
PatternAfter5.054.42+10 barsTPSLEntry2024-102024-10
TypicalNEAR October 3, 20241-hour chart3.5% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Crypto overallAcross 9,384 bearish Bart Simpson occurrences on 1-hour charts, price moved the expected way 10 bars later 46.7% of the time, against 50.6% for random bars. The verdict rests on the average excess return over the rest of the market, −0.14% (positive favors the pattern), not on this rate.Opposite of the textbookThe examples below are single cases.
PatternAfter0.14440.1182+10 barsTPSLEntry2024-032024-03
Best tradeXLM March 5, 20241-hour chart11.2% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
PatternAfter0.72110.6219+10 barsTPSLEntry2025-02
Worst tradeADA March 2, 20251-hour chart67.7% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 RAfter the pattern, price left the chart: high 1.17 on March 3, 2025.
PatternAfter11.9211.04+10 barsTPSLEntry2026-102026-10
Most recentLINK October 25, 20261-hour chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R, 68 bars after entry, past this chart
PatternAfter6.745.85+10 barsTPSLEntry2024-122024-12
TypicalATOM December 22, 20241-hour chart1.7% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R, 30 bars after entry, past this chart
PatternAfter77.8071.80+10 barsTPSLEntry2023-03
TypicalAAVE March 7, 20231-hour chart1.5% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R, 36 bars after entry, past this chart
PatternAfter7.126.66+10 barsTPSLEntry2026-062026-06
TypicalETC June 10, 20261-hour chart0.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R

Trading strategies for the Bart Simpson pattern

What follows are three approaches, with the points that decide your trading outcome. Our bench tests the second one, the plateau break, with a stop at the top of the spike and a target at twice the risk, the same 2:1 rule it uses for every chart pattern so that results can be compared; the results are in the reliability section below.

Avoiding the trap of chasing spikes

Trading the plateau break

This approach waits for the consolidation to break, and trades the break. The break is the decision point, so decide your action before it happens.

  • Entry: a close outside the plateau, against the spike (a close below it after a spike up, above it after a spike down).
  • Stop: beyond the end of the spike (above its top after a spike up, below its bottom after a spike down), where the idea is proved wrong.
  • Target: twice the risk, the only target our bench tests. Some traders aim for the starting level of the spike instead; we have not tested that exit.
TPSLEntryBullish breakout
Entry
Close above the high of the plateau
Stop loss (SL)
At the bottom of the spike
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 1,347 daily occurrences drawn at random from all markets. Kept: setups with regular legs when enough exist, with the most common number of swing points and no two swing points on the same bar.
TPSLEntryBearish breakout
Entry
Close below the low of the plateau
Stop loss (SL)
At the top of the spike
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 1,366 daily occurrences drawn at random from all markets. Kept: setups with regular legs when enough exist, with the most common number of swing points and no two swing points on the same bar.

The same plateau can also break the other way, extending the spike. That is a flag, and a trader who uses this method should accept both outcomes, or take no action until one side breaks.

Managing risk during high volatility

Is the Bart Simpson pattern a reliable indicator?

Not with the rule we tested: on no market or timeframe with enough data did the Bart beat the same trade on random dates by a margin that survives our correction. The charts below sum up the daily results; the rule and the full table follow.

51.8%vs 53.1% at random

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

Measured on 8,494 daily bullish Bart Simpson occurrences across 1,966 assets. Random bars on the same assets are the honest baseline.

Weak, below chance
44.8%vs 45.4% at random

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

Measured on 8,976 daily bearish Bart Simpson occurrences across 1,668 assets. Random bars on the same assets are the honest baseline.

No clear edge

Bullish Bart Simpson 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 Bart SimpsonRandom bars
  • All markets
    All markets, Bullish Bart Simpson: 51.8%
    All markets, Random bars: 53.1%
  • Crypto
    Crypto, Bullish Bart Simpson: 37.9%
    Crypto, Random bars: 43.9%
  • US stocks
    US stocks, Bullish Bart Simpson: 52.7%
    US stocks, Random bars: 53.8%
  • Forex
    Forex, Bullish Bart Simpson: 49.1%
    Forex, Random bars: 50.5%
  • ETFs
    ETFs, Bullish Bart Simpson: 57.5%
    ETFs, Random bars: 54.8%
  • Indices
    Indices, Bullish Bart Simpson: 66.0%
    Indices, Random bars: 57.5%
  • Commodities
    Commodities, Bullish Bart Simpson: 53.9%
    Commodities, Random bars: 52.0%
2:1 trade hit its targetBullish Bart Simpson tradeSame trade, random dates
  • All markets
    All markets, Bullish Bart Simpson trade: 35.9%
    All markets, Same trade, random dates: 35.6%
  • Crypto
    Crypto, Bullish Bart Simpson trade: 32.0%
    Crypto, Same trade, random dates: 33.3%
  • US stocks
    US stocks, Bullish Bart Simpson trade: 36.2%
    US stocks, Same trade, random dates: 35.9%
  • Forex
    Forex, Bullish Bart Simpson trade: 28.3%
    Forex, Same trade, random dates: 24.5%
  • ETFs
    ETFs, Bullish Bart Simpson trade: 34.4%
    ETFs, Same trade, random dates: 34.9%
  • Indices
    Indices, Bullish Bart Simpson trade: 40.8%
    Indices, Same trade, random dates: 36.8%
  • Commodities
    Commodities, Bullish Bart Simpson trade: 39.1%
    Commodities, Same trade, random dates: 34.7%

Bearish Bart Simpson 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 Bart SimpsonRandom bars
  • All markets
    All markets, Bearish Bart Simpson: 44.8%
    All markets, Random bars: 45.4%
  • Crypto
    Crypto, Bearish Bart Simpson: 60.7%
    Crypto, Random bars: 54.2%
  • US stocks
    US stocks, Bearish Bart Simpson: 44.9%
    US stocks, Random bars: 45.5%
  • Forex
    Forex, Bearish Bart Simpson: 44.9%
    Forex, Random bars: 48.6%
  • ETFs
    ETFs, Bearish Bart Simpson: 44.0%
    ETFs, Random bars: 42.6%
  • Indices
    Indices, Bearish Bart Simpson: 38.8%
    Indices, Random bars: 42.5%
  • Commodities
    Commodities, Bearish Bart Simpson: 42.1%
    Commodities, Random bars: 48.7%
2:1 trade hit its targetBearish Bart Simpson tradeSame trade, random dates
  • All markets
    All markets, Bearish Bart Simpson trade: 24.9%
    All markets, Same trade, random dates: 25.2%
  • Crypto
    Crypto, Bearish Bart Simpson trade: 37.5%
    Crypto, Same trade, random dates: 26.4%
  • US stocks
    US stocks, Bearish Bart Simpson trade: 24.3%
    US stocks, Same trade, random dates: 25.0%
  • Forex
    Forex, Bearish Bart Simpson trade: 27.5%
    Forex, Same trade, random dates: 29.0%
  • ETFs
    ETFs, Bearish Bart Simpson trade: 31.6%
    ETFs, Same trade, random dates: 28.8%
  • Indices
    Indices, Bearish Bart Simpson trade: 26.7%
    Indices, Same trade, random dates: 25.8%
  • Commodities
    Commodities, Bearish Bart Simpson trade: 32.7%
    Commodities, Same trade, random dates: 28.2%
All statistics

Full results for the Bart Simpson 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

Weak, below chance. It does slightly worse than the baseline, but not in every check.

10-bar move Weak, below chance2:1 trade No clear edge

Bullish Bart Simpson: 8,494 occurrences tested

Bullish pattern · All markets · Daily · 1,966 assets · 1974-10 to 2026-10

Moved the expected way after 10 bars
51.8%
vs 53.1% on random bars
Excess return vs its market, 10 bars
−0.24%
95% interval −0.40% to −0.09%
its market−3%+3%
2:1 trade hit the target
35.9%
vs 35.6% for the same trade on random dates
Average result per trade
+0.16 R
vs +0.16 R on random dates

What this means. A difference shows up (p < 0.05), but below the baseline, and it does not survive the multiple-testing correction. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.

Timeline

Pattern length, first swing to breakout
16 days · middle half 12 to 23 · on 8,494 occurrences
Breakout, after the last swing
0 days · middle half 0 to 1 · on 8,494 occurrences
Time to the 2:1 target, when hit
25 days · middle half 14 to 44 · on 3,020 trades that hit it
Time to the stop, when hit
14 days · middle half 7 to 29 · on 4,849 trades that hit it
Time in the trade, all exits
20 days · middle half 9 to 42 · on 8,422 trades
Pattern target reached, when hit
11 days · middle half 5 to 26 · on the occurrences that reached it
A return to the start of the spike

Size and trade path

Pattern height
16.4% · middle half 10.6% to 27.8% · on 8,494 occurrences
Best open profit during the trade
1.13 R · middle half 0.35 R to 2.07 R · on 8,422 trades
Stopped trades that were first up 1 R
21.3% · on 4,849 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss

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 sharp decline to a bottom: the swing from the last confirmed high to the bottom falls at least 3 ATR, over at least 3 bars, at least 0.5 ATR per bar. Then a flat plateau, from the first bar within 10% of the decline of the bottom until the first close above its highest high: it lasts 1 to 3 times the decline, never rises more than 50% of the decline above the bottom, its bars average less than one ATR from high to low, and a straight line fitted to its closes moves less than 10% of the decline across it. Confirmed by that close. Stop at the bottom.

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-hour13,96743.3%48.1%−0.22%Opposite of the textbook
Forex · 1-hour1,97348.7%50.5%−0.01%No clear edge
All markets · 1-hour15,94044.0%48.4%−0.19%Opposite of the textbook
Crypto · 4-hour3,19541.5%47.2%−0.39%Weak, below chance
Forex · 4-hour39454.8%50.5%+0.01%No clear edge
All markets · 4-hour3,58943.0%47.5%−0.34%Weak, below chance
Crypto · Daily67137.9%43.9%−1.45%Weak, below chance
US stocks · Daily7,35352.7%53.8%−0.14%No clear edge
ETFs · Daily22157.5%54.8%−0.22%No clear edge
Indices · Daily10366.0%57.5%−0.20%No clear edge
Forex · Daily5549.1%50.5%−0.18%No clear edge
Commodities · Daily9153.9%52.0%+0.06%No clear edge
All markets · Daily8,49451.8%53.1%−0.24%Weak, below chance
Crypto · Weekly18822.4%37.8%−3.30%Not enough data
US stocks · Weekly95752.7%56.5%−1.10%Weak, below chance
ETFs · Weekly2352.2%56.2%−4.10%Not enough data
Indices · Weekly1947.4%61.5%−0.77%Not enough data
Forex · Weekly966.7%53.4%+0.94%Not enough data
Commodities · Weekly1861.1%53.3%−1.78%Not enough data
All markets · Weekly1,21448.3%53.7%−1.49%Weak, below chance

2:1 trade: target hit and average result

R = initial risk of the trade. Entry at the close of the signal bar. 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-hour13,96130.4%29.7%+0.01 R vs +0.01 RNo clear edge
Forex · 1-hour1,97230.1%30.3%0.00 R vs +0.01 RNo clear edge
All markets · 1-hour15,93330.3%29.8%+0.01 R vs +0.01 RNo clear edge
Crypto · 4-hour3,18029.9%31.3%−0.01 R vs +0.04 RNo clear edge
Forex · 4-hour39239.0%30.3%+0.23 R vs 0.00 RPromising
All markets · 4-hour3,57230.9%31.2%+0.01 R vs +0.04 RNo clear edge
Crypto · Daily66632.0%33.3%+0.03 R vs +0.07 RNo clear edge
US stocks · Daily7,29236.2%35.9%+0.17 R vs +0.17 RNo clear edge
ETFs · Daily22134.4%34.9%+0.09 R vs +0.11 RNo clear edge
Indices · Daily10340.8%36.8%+0.43 R vs +0.23 RNo clear edge
Forex · Daily5328.3%24.5%−0.10 R vs −0.20 RNo clear edge
Commodities · Daily8739.1%34.7%+0.22 R vs +0.11 RNo clear edge
All markets · Daily8,42235.9%35.6%+0.16 R vs +0.16 RNo clear edge
Crypto · Weekly18025.6%34.8%−0.23 R vs +0.05 RNot enough data
US stocks · Weekly92243.2%41.4%+0.41 R vs +0.36 RNo clear edge
ETFs · Weekly2339.1%41.3%+0.43 R vs +0.61 RNot enough data
Indices · Weekly1936.8%36.0%+0.16 R vs +0.23 RNot enough data
Forex · Weekly933.3%33.3%+0.19 R vs +0.19 RNot enough data
Commodities · Weekly1747.1%39.7%+0.55 R vs +0.31 RNot enough data
All markets · Weekly1,17040.3%40.2%+0.31 R vs +0.31 RNo clear edge

After the breakout

False start: the stop was hit before price moved half the pattern's height in the breakout direction, within twice the pattern's length. Random dates: the same entry, stop and length on the same asset at random dates. Throwback: price came back within a quarter of an average bar (ATR) of the breakout level, after at least one whole bar beyond it, within the pattern's length.
MarketOccurrencesFalse startsSame, random datesThrowbacks
Crypto · 1-hour13,96745.2%43.3%49.3%
Forex · 1-hour1,97349.0%46.3%49.5%
All markets · 1-hour15,94045.6%43.7%49.3%
Crypto · 4-hour3,19544.8%44.2%51.4%
Forex · 4-hour39441.8%45.1%50.0%
All markets · 4-hour3,58944.5%44.3%51.2%
Crypto · Daily67146.7%44.6%48.1%
US stocks · Daily7,35342.3%41.5%52.4%
ETFs · Daily22144.5%44.1%49.5%
Indices · Daily10335.9%43.5%46.6%
Forex · Daily5552.7%50.9%47.3%
Commodities · Daily9141.2%44.6%55.8%
All markets · Daily8,49442.6%41.9%51.9%
Crypto · Weekly18865.1%50.3%52.6%
US stocks · Weekly95735.4%35.3%50.2%
ETFs · Weekly2339.1%33.7%56.5%
Indices · Weekly1947.4%35.5%42.1%
Forex · Weekly933.3%55.6%33.3%
Commodities · Weekly1841.2%40.3%55.6%
All markets · Weekly1,21439.8%37.7%50.5%

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 Bart Simpson: 8,976 occurrences tested

Bearish pattern · All markets · Daily · 1,668 assets · 1971-02 to 2026-10

Moved the expected way after 10 bars
44.8%
vs 45.4% on random bars
Excess return vs its market, 10 bars
−0.06%
95% interval −0.22% to +0.11%
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
24.9%
vs 25.2% for the same trade on random dates
Average result per trade
−0.19 R
vs −0.18 R on random dates

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

Timeline

Pattern length, first swing to breakout
16 days · middle half 12 to 22 · on 8,976 occurrences
Breakout, after the last swing
0 days · middle half 0 to 1 · on 8,976 occurrences
Time to the 2:1 target, when hit
21 days · middle half 11 to 38 · on 2,217 trades that hit it
Time to the stop, when hit
12 days · middle half 6 to 25 · on 6,264 trades that hit it
Time in the trade, all exits
15 days · middle half 7 to 32 · on 8,896 trades
Pattern target reached, when hit
9 days · middle half 4 to 20 · on the occurrences that reached it
A return to the start of the spike

Size and trade path

Pattern height
13.3% · middle half 9.4% to 19.5% · on 8,976 occurrences
Best open profit during the trade
0.78 R · middle half 0.27 R to 1.99 R · on 8,896 trades
Stopped trades that were first up 1 R
20.9% · on 6,264 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss

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 sharp rise to a top: the swing from the last confirmed low to the top rises at least 3 ATR, over at least 3 bars, at least 0.5 ATR per bar. Then a flat plateau, from the first bar within 10% of the rise of the top until the first close below its lowest low: it lasts 1 to 3 times the rise, never falls more than 50% of the rise below the top, its bars average less than one ATR from high to low, and a straight line fitted to its closes moves less than 10% of the rise across it. Confirmed by that close. Stop at the top.

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-hour9,38446.7%50.6%−0.14%Opposite of the textbook
Forex · 1-hour1,94045.3%49.1%−0.02%Weak, below chance
All markets · 1-hour11,32446.5%50.4%−0.12%Opposite of the textbook
Crypto · 4-hour1,63546.0%51.9%−0.25%No clear edge
Forex · 4-hour43651.6%49.3%+0.004%No clear edge
All markets · 4-hour2,07147.1%51.3%−0.20%No clear edge
Crypto · Daily8960.7%54.2%−2.26%No clear edge
US stocks · Daily8,12144.9%45.5%−0.03%No clear edge
ETFs · Daily39944.0%42.6%−0.02%No clear edge
Indices · Daily23838.8%42.5%−0.08%No clear edge
Forex · Daily7144.9%48.6%−0.19%No clear edge
Commodities · Daily5842.1%48.7%−0.62%No clear edge
All markets · Daily8,97644.8%45.4%−0.06%No clear edge
Crypto · Weekly1100.0%45.3%−26.40%Not enough data
US stocks · Weekly88340.1%41.9%+0.06%No clear edge
ETFs · Weekly4425.6%37.2%−0.45%No clear edge
Indices · Weekly2636.0%39.4%−0.43%Not enough data
Forex · Weekly1154.5%48.3%+1.18%Not enough data
Commodities · Weekly1457.1%45.9%+0.39%Not enough data
All markets · Weekly97939.8%41.8%+0.01%No clear edge

2:1 trade: target hit and average result

R = initial risk of the trade. Entry at the close of the signal bar. 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-hour9,37728.1%30.4%−0.03 R vs +0.03 RNo clear edge
Forex · 1-hour1,93930.0%29.2%−0.03 R vs −0.03 RNo clear edge
All markets · 1-hour11,31628.4%30.2%−0.03 R vs +0.02 RNo clear edge
Crypto · 4-hour1,63426.9%30.4%−0.09 R vs +0.03 RNo clear edge
Forex · 4-hour43633.5%30.1%+0.05 R vs −0.02 RNo clear edge
All markets · 4-hour2,07028.3%30.3%−0.06 R vs +0.02 RNo clear edge
Crypto · Daily8037.5%26.4%+0.34 R vs +0.02 RNo clear edge
US stocks · Daily8,06024.3%25.0%−0.21 R vs −0.19 RNo clear edge
ETFs · Daily39631.6%28.8%−0.04 R vs −0.10 RNo clear edge
Indices · Daily23626.7%25.8%−0.18 R vs −0.20 RNo clear edge
Forex · Daily6927.5%29.0%−0.09 R vs −0.07 RNo clear edge
Commodities · Daily5532.7%28.2%+0.06 R vs −0.04 RNo clear edge
All markets · Daily8,89624.9%25.2%−0.19 R vs −0.18 RNo clear edge
Crypto · Weekly10.0%0.0%−1.00 R vs −0.64 RNot enough data
US stocks · Weekly86020.9%20.7%−0.33 R vs −0.33 RNo clear edge
ETFs · Weekly4314.0%15.3%−0.58 R vs −0.51 RNo clear edge
Indices · Weekly2540.0%28.0%+0.20 R vs −0.11 RNot enough data
Forex · Weekly1145.5%33.3%+0.59 R vs 0.00 RNot enough data
Commodities · Weekly1323.1%30.8%−0.31 R vs −0.05 RNot enough data
All markets · Weekly95321.4%20.9%−0.32 R vs −0.33 RNo clear edge

After the breakout

False start: the stop was hit before price moved half the pattern's height in the breakout direction, within twice the pattern's length. Random dates: the same entry, stop and length on the same asset at random dates. Throwback: price came back within a quarter of an average bar (ATR) of the breakout level, after at least one whole bar beyond it, within the pattern's length.
MarketOccurrencesFalse startsSame, random datesThrowbacks
Crypto · 1-hour9,38446.8%43.9%49.5%
Forex · 1-hour1,94052.0%47.9%49.8%
All markets · 1-hour11,32447.7%44.6%49.5%
Crypto · 4-hour1,63547.8%44.0%47.4%
Forex · 4-hour43640.6%45.7%44.6%
All markets · 4-hour2,07146.3%44.4%46.8%
Crypto · Daily8929.6%44.0%47.0%
US stocks · Daily8,12152.8%50.1%51.7%
ETFs · Daily39948.2%50.4%57.5%
Indices · Daily23853.4%54.3%58.2%
Forex · Daily7144.8%50.8%52.9%
Commodities · Daily5854.5%50.4%47.4%
All markets · Daily8,97652.4%50.2%52.1%
Crypto · Weekly1100.0%75.0%100.0%
US stocks · Weekly88355.3%52.8%48.4%
ETFs · Weekly4472.1%61.7%51.2%
Indices · Weekly2652.0%57.7%44.0%
Forex · Weekly1127.3%41.7%45.5%
Commodities · Weekly1435.7%58.9%42.9%
All markets · Weekly97955.4%53.3%48.4%

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 Bart Simpson is a reliable buy signal.”

What our data shows

On 8,494 daily occurrences, it moved in the expected direction 51.8% of the time, against 53.1% for random bars: its average excess return over the rest of the market passes a simple test but does not survive our correction.

What you often read

“The bearish Bart Simpson is a reliable sell signal.”

What our data shows

On 8,976 daily occurrences, it moved in the expected direction 44.8% of the time, against 45.4% for random bars: no clear edge, since the average excess return is not statistically significant.

The pattern has no standard definition, so we wrote one from the description above, with fixed thresholds, and published it. This is one reading of a loosely defined pattern; we set it from chart reviews, never from results. Here it is for the bearish version:

  • The spike: the swing from the last low to the top rises at least 3 ATR, over at least 3 bars, at least 0.5 ATR per bar, the speed our bench requires of a V reversal.
  • The plateau: from the first bar within 10% of the spike's height from the top until the first close below its lowest low, it lasts 1 to 3 times as long as the spike, never falls more than 50% of the spike below the top, its bars average less than one ATR from high to low, and a straight line fitted to its closes moves less than 10% of the spike across it.
  • The signal: a close below the lowest low of the plateau. The stop goes at the top, and the target at twice the risk. A high above the top first turns the shape into a flag, and the setup is dropped.

The bullish version is the mirror image. Turning points are swings of 2, 4 or 8 times the average true range, and the bench does not go below hourly charts, so Barts that play out in a few hours on 15-minute charts are out of its reach.

Here is what it found: every occurrence our rule finds on full price history, in crypto, forex, US stocks, ETFs, indices and commodities, compared with the same trade placed on random dates on the same assets.

Table quoted in the text (verdicts and every market: see All measurements)
Setup testedOccurrences (2:1 trades)2:1 target hitSame trade, random datesExpectancy before costs
Bearish, crypto, hourly9,384 (9,377)28.1%30.4%−0.03 R vs +0.03 R
Bullish, crypto, hourly13,967 (13,961)30.4%29.7%+0.01 R vs +0.01 R
Bearish, crypto, 4-hour1,635 (1,634)26.9%30.4%−0.09 R vs +0.03 R
Bullish, crypto, 4-hour3,195 (3,180)29.9%31.3%−0.01 R vs +0.04 R
Bearish, all markets, daily8,976 (8,896)24.9%25.2%−0.19 R vs −0.18 R
Bullish, all markets, daily8,494 (8,422)35.9%35.6%+0.16 R vs +0.16 R

How to read it: each row is the trade above, compared with the same entry, stop and target placed on random bars of the same assets. Expectancy is the average result per trade in units of risk (R), before fees. In every row of this table, the trade verdict is the same: No clear edge. The 10-bar direction is another matter: on hourly crypto, price had moved the expected way 10 bars later in 46.7% of bearish and 43.3% of bullish setups, against 50.6% and 48.1% for random bars, both rated worse than chance. The bullish version also lagged on daily charts and on weekly charts across all markets (1,214 weekly cases, −1.49% against the rest of the market), rated weak, below chance: a gap that passes a simple test but not our correction. The spike was erased, price returning to its starting level before the stop and within 100 bars, in 43.8% of bearish and 42.4% of bullish hourly crypto setups; that rate has no random baseline and is not in the tables, so it describes the shape rather than an edge.

Its building blocks, the rectangle and the flag, and its closest cousin, the island reversal, are tested separately on their own pages, with their own verdicts by market. The shapes overlap, so their figures should not be added to these. What this means here: measured with a fixed rule on tens of thousands of cases, the Bart did not predict direction better than chance, and on hourly crypto it did worse.

The Bart pattern in the news

The shape has made financial news several times. Bloomberg ran a story on June 3, 2020, titled "Bitcoin 'Bart Simpson' Trading Pattern Returns With Volatility". A CoinDesk opinion piece of August 9, 2023, asked whether Bitcoin's "Bart" pattern meant a rally was coming, and BeInCrypto covered its return on Bitcoin in December 2025. These articles add little information for trading: the ones cited here report it once it is visible on the Bitcoin chart, that is, once the final leg has already happened.

Does it mean a crash is coming?

No. A bearish Bart describes a rally that was erased, and a bullish one a drop that was erased; it does not say what happens next. After it completes, price is back where it started, and the next move can go either way. Headlines that present it as a crash warning read a forecast into an outline that, in our test, carries no clear edge.

Common mistakes to avoid

  • Naming it before the third leg. A spike and a plateau are also the start of a flag. Wait for the break.
  • Buying the spike. The trader who buys near the top of a vertical move, or on the candle following it, is the one this setup punishes.
  • Using high leverage in thin markets. A fast move can skip your exit.
  • Seeing manipulation everywhere. It may be true, but it does not tell you where to put an exit.
  • Trusting hindsight. Every case looks obvious after the fact. The ones that turned into flags are easy to forget.

Advantages and limitations

Advantages

  • Easy to recognize once complete, and a useful warning against chasing spikes.
  • The plateau gives clear levels for an entry and an exit.

Limitations and risks for traders in 2026

  • No standard definition: our statistics come from one reading of it, which we wrote and published, not from a reference rule.
  • Only identifiable once complete; while it forms, it cannot be told apart from a flag.
  • Fast moves, slippage and leverage make the risk larger than it looks on the chart.
  • Tested with that rule, it showed no clear edge in our data. Its building blocks have verdicts of their own, which differ by market: see their pages before borrowing a conclusion from them.

Tools to find it

No standard indicators detect the shape. On TradingView, a community script named "Bart Pattern" by LuxAlgo tries to flag it automatically; double check its logic before relying on it, because every detector makes its own choices about size and flatness. Otherwise, a simple routine is enough: an alert on unusual hourly moves, then two horizontal lines on the plateau, with alerts on both lines to help you react to the break. To follow the liquidations described above, Coinglass publishes liquidation and open interest figures for the main crypto derivatives venues.

Frequently asked questions

Is the Bart Simpson pattern bullish or bearish?

It can be either. The classic version (rally, flat top, drop) ends lower; the inverted version (drop, flat bottom, recovery) ends bullish. Name it by its last leg.

Who coined the term Bart Simpson pattern?

No single analyst is known. The name came from crypto traders on social media, who compared the outline on Bitcoin charts to the character's head.

Does it appear outside crypto?

It can appear on any market, but it is mostly discussed for digital assets, where crypto traders blame it on thin liquidity and leverage.

What timeframe shows it?

Mostly hourly and intraday charts, with plateaus lasting from a few hours to several days. Our bench starts at hourly charts, where it found the most cases.

Can the Bart pattern be traded profitably?

Not with the rule we tested. On 9,377 closed trades on bearish setups on hourly crypto charts, the 2:1 trade reached its target 28.1% of the time, against 30.4% for the same trade on random dates, and an average result per trade of −0.03 R against +0.03 R, before costs: no clear edge. Test any rule on your own data to understand how it behaves.

Summary of key points

  • A Bart Simpson pattern is a fast move, a flat plateau and a fast move back that erases the first one.
  • It is named after a cartoon character and is mostly discussed on short-term Bitcoin charts.
  • The bearish version ends with a drop, the bullish version with a recovery.
  • It has no standard definition; tested with one fixed reading of it, it showed no confirmed edge over chance on any market or timeframe, and its 10-bar direction lagged chance on hourly crypto.
  • The practical lesson is defensive: do not chase spikes, keep leverage low, and trade the plateau break only with a stop on the other side.

This page is for education and is not investment advice. Trading involves a high risk of loss; consult a professional financial adviser if needed.

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. The Bart Simpson rule on this page was set from chart reviews, never tuned on results. 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