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.
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)
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
On this page
- What is the Bart Simpson pattern in trading?
- The anatomy of a Bart pattern
- Why does the Bart Simpson pattern occur?
- Bullish vs. bearish Bart patterns
- How to spot the Bart pattern in real time
- Real examples
- Trading strategies for the Bart Simpson pattern
- Is the Bart Simpson pattern a reliable indicator?
- The Bart pattern in the news
- Common mistakes to avoid
- Advantages and limitations
- Tools to find it
- Frequently asked questions
- 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.
- Start of the spikelast confirmed swing high
- Bottomthe fall covers at least 0.5 ATR per bar; the stop sits here
- Close above the plateauafter a flat plateau lasting 1 to 3 times the fall, never more than 50% of the fall above the bottom
- Start of the spikelast confirmed swing low
- Topthe rise covers at least 0.5 ATR per bar; the stop sits here
- Close below the plateauafter a flat plateau lasting 1 to 3 times the rise, never more than 50% of the rise below the top
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
| Formation | Outline | What happens after the flat part |
|---|---|---|
| Bart Simpson pattern | Sharp move, flat band, sharp move back | The first move is erased |
| Flag | Fast move (the pole), small pause against it | The move continues in the direction of the pole |
| Rectangle | Flat support and resistance | Breakout on either side, no prior spike required |
| Island reversal | Gap, isolated cluster of bars, gap back | Price turns; the closest classical cousin |
| Dead cat bounce | Decline, short rebound, decline again | The 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- Entry
- Close above the high of the plateau
- Stop loss (SL)
- At the bottom of the spike
- Target (TP)
- Twice the risk (2:1)
- 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 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.
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 chanceMoved 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 edgeBullish Bart Simpson against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
Bearish Bart Simpson against random bars on the same assets, by market, on daily candles. Bars of almost the same length mean no edge.
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
- All markets
- Crypto
- US stocks
- Forex
- ETFs
- Indices
- Commodities
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.
Bullish Bart Simpson: 8,494 occurrences tested
Bullish pattern · All markets · Daily · 1,966 assets · 1974-10 to 2026-10
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?
| Market | Occurrences | Pattern | Random bars | Excess | 10-bar move verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 13,967 | 43.3% | 48.1% | −0.22% | Opposite of the textbook |
| Forex · 1-hour | 1,973 | 48.7% | 50.5% | −0.01% | No clear edge |
| All markets · 1-hour | 15,940 | 44.0% | 48.4% | −0.19% | Opposite of the textbook |
| Crypto · 4-hour | 3,195 | 41.5% | 47.2% | −0.39% | Weak, below chance |
| Forex · 4-hour | 394 | 54.8% | 50.5% | +0.01% | No clear edge |
| All markets · 4-hour | 3,589 | 43.0% | 47.5% | −0.34% | Weak, below chance |
| Crypto · Daily | 671 | 37.9% | 43.9% | −1.45% | Weak, below chance |
| US stocks · Daily | 7,353 | 52.7% | 53.8% | −0.14% | No clear edge |
| ETFs · Daily | 221 | 57.5% | 54.8% | −0.22% | No clear edge |
| Indices · Daily | 103 | 66.0% | 57.5% | −0.20% | No clear edge |
| Forex · Daily | 55 | 49.1% | 50.5% | −0.18% | No clear edge |
| Commodities · Daily | 91 | 53.9% | 52.0% | +0.06% | No clear edge |
| All markets · Daily | 8,494 | 51.8% | 53.1% | −0.24% | Weak, below chance |
| Crypto · Weekly | 188 | 22.4% | 37.8% | −3.30% | Not enough data |
| US stocks · Weekly | 957 | 52.7% | 56.5% | −1.10% | Weak, below chance |
| ETFs · Weekly | 23 | 52.2% | 56.2% | −4.10% | Not enough data |
| Indices · Weekly | 19 | 47.4% | 61.5% | −0.77% | Not enough data |
| Forex · Weekly | 9 | 66.7% | 53.4% | +0.94% | Not enough data |
| Commodities · Weekly | 18 | 61.1% | 53.3% | −1.78% | Not enough data |
| All markets · Weekly | 1,214 | 48.3% | 53.7% | −1.49% | Weak, below chance |
2:1 trade: target hit and average result
| Market | Trades | Target hit | Same trade, random dates | Per trade | 2:1 trade verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 13,961 | 30.4% | 29.7% | +0.01 R vs +0.01 R | No clear edge |
| Forex · 1-hour | 1,972 | 30.1% | 30.3% | 0.00 R vs +0.01 R | No clear edge |
| All markets · 1-hour | 15,933 | 30.3% | 29.8% | +0.01 R vs +0.01 R | No clear edge |
| Crypto · 4-hour | 3,180 | 29.9% | 31.3% | −0.01 R vs +0.04 R | No clear edge |
| Forex · 4-hour | 392 | 39.0% | 30.3% | +0.23 R vs 0.00 R | Promising |
| All markets · 4-hour | 3,572 | 30.9% | 31.2% | +0.01 R vs +0.04 R | No clear edge |
| Crypto · Daily | 666 | 32.0% | 33.3% | +0.03 R vs +0.07 R | No clear edge |
| US stocks · Daily | 7,292 | 36.2% | 35.9% | +0.17 R vs +0.17 R | No clear edge |
| ETFs · Daily | 221 | 34.4% | 34.9% | +0.09 R vs +0.11 R | No clear edge |
| Indices · Daily | 103 | 40.8% | 36.8% | +0.43 R vs +0.23 R | No clear edge |
| Forex · Daily | 53 | 28.3% | 24.5% | −0.10 R vs −0.20 R | No clear edge |
| Commodities · Daily | 87 | 39.1% | 34.7% | +0.22 R vs +0.11 R | No clear edge |
| All markets · Daily | 8,422 | 35.9% | 35.6% | +0.16 R vs +0.16 R | No clear edge |
| Crypto · Weekly | 180 | 25.6% | 34.8% | −0.23 R vs +0.05 R | Not enough data |
| US stocks · Weekly | 922 | 43.2% | 41.4% | +0.41 R vs +0.36 R | No clear edge |
| ETFs · Weekly | 23 | 39.1% | 41.3% | +0.43 R vs +0.61 R | Not enough data |
| Indices · Weekly | 19 | 36.8% | 36.0% | +0.16 R vs +0.23 R | Not enough data |
| Forex · Weekly | 9 | 33.3% | 33.3% | +0.19 R vs +0.19 R | Not enough data |
| Commodities · Weekly | 17 | 47.1% | 39.7% | +0.55 R vs +0.31 R | Not enough data |
| All markets · Weekly | 1,170 | 40.3% | 40.2% | +0.31 R vs +0.31 R | No clear edge |
After the breakout
| Market | Occurrences | False starts | Same, random dates | Throwbacks |
|---|---|---|---|---|
| Crypto · 1-hour | 13,967 | 45.2% | 43.3% | 49.3% |
| Forex · 1-hour | 1,973 | 49.0% | 46.3% | 49.5% |
| All markets · 1-hour | 15,940 | 45.6% | 43.7% | 49.3% |
| Crypto · 4-hour | 3,195 | 44.8% | 44.2% | 51.4% |
| Forex · 4-hour | 394 | 41.8% | 45.1% | 50.0% |
| All markets · 4-hour | 3,589 | 44.5% | 44.3% | 51.2% |
| Crypto · Daily | 671 | 46.7% | 44.6% | 48.1% |
| US stocks · Daily | 7,353 | 42.3% | 41.5% | 52.4% |
| ETFs · Daily | 221 | 44.5% | 44.1% | 49.5% |
| Indices · Daily | 103 | 35.9% | 43.5% | 46.6% |
| Forex · Daily | 55 | 52.7% | 50.9% | 47.3% |
| Commodities · Daily | 91 | 41.2% | 44.6% | 55.8% |
| All markets · Daily | 8,494 | 42.6% | 41.9% | 51.9% |
| Crypto · Weekly | 188 | 65.1% | 50.3% | 52.6% |
| US stocks · Weekly | 957 | 35.4% | 35.3% | 50.2% |
| ETFs · Weekly | 23 | 39.1% | 33.7% | 56.5% |
| Indices · Weekly | 19 | 47.4% | 35.5% | 42.1% |
| Forex · Weekly | 9 | 33.3% | 55.6% | 33.3% |
| Commodities · Weekly | 18 | 41.2% | 40.3% | 55.6% |
| All markets · Weekly | 1,214 | 39.8% | 37.7% | 50.5% |
Our verdict
Not a reliable signal on its own here. Use it as context, not as a trigger.
Bearish Bart Simpson: 8,976 occurrences tested
Bearish pattern · All markets · Daily · 1,668 assets · 1971-02 to 2026-10
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?
| Market | Occurrences | Pattern | Random bars | Excess | 10-bar move verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 9,384 | 46.7% | 50.6% | −0.14% | Opposite of the textbook |
| Forex · 1-hour | 1,940 | 45.3% | 49.1% | −0.02% | Weak, below chance |
| All markets · 1-hour | 11,324 | 46.5% | 50.4% | −0.12% | Opposite of the textbook |
| Crypto · 4-hour | 1,635 | 46.0% | 51.9% | −0.25% | No clear edge |
| Forex · 4-hour | 436 | 51.6% | 49.3% | +0.004% | No clear edge |
| All markets · 4-hour | 2,071 | 47.1% | 51.3% | −0.20% | No clear edge |
| Crypto · Daily | 89 | 60.7% | 54.2% | −2.26% | No clear edge |
| US stocks · Daily | 8,121 | 44.9% | 45.5% | −0.03% | No clear edge |
| ETFs · Daily | 399 | 44.0% | 42.6% | −0.02% | No clear edge |
| Indices · Daily | 238 | 38.8% | 42.5% | −0.08% | No clear edge |
| Forex · Daily | 71 | 44.9% | 48.6% | −0.19% | No clear edge |
| Commodities · Daily | 58 | 42.1% | 48.7% | −0.62% | No clear edge |
| All markets · Daily | 8,976 | 44.8% | 45.4% | −0.06% | No clear edge |
| Crypto · Weekly | 1 | 100.0% | 45.3% | −26.40% | Not enough data |
| US stocks · Weekly | 883 | 40.1% | 41.9% | +0.06% | No clear edge |
| ETFs · Weekly | 44 | 25.6% | 37.2% | −0.45% | No clear edge |
| Indices · Weekly | 26 | 36.0% | 39.4% | −0.43% | Not enough data |
| Forex · Weekly | 11 | 54.5% | 48.3% | +1.18% | Not enough data |
| Commodities · Weekly | 14 | 57.1% | 45.9% | +0.39% | Not enough data |
| All markets · Weekly | 979 | 39.8% | 41.8% | +0.01% | No clear edge |
2:1 trade: target hit and average result
| Market | Trades | Target hit | Same trade, random dates | Per trade | 2:1 trade verdict |
|---|---|---|---|---|---|
| Crypto · 1-hour | 9,377 | 28.1% | 30.4% | −0.03 R vs +0.03 R | No clear edge |
| Forex · 1-hour | 1,939 | 30.0% | 29.2% | −0.03 R vs −0.03 R | No clear edge |
| All markets · 1-hour | 11,316 | 28.4% | 30.2% | −0.03 R vs +0.02 R | No clear edge |
| Crypto · 4-hour | 1,634 | 26.9% | 30.4% | −0.09 R vs +0.03 R | No clear edge |
| Forex · 4-hour | 436 | 33.5% | 30.1% | +0.05 R vs −0.02 R | No clear edge |
| All markets · 4-hour | 2,070 | 28.3% | 30.3% | −0.06 R vs +0.02 R | No clear edge |
| Crypto · Daily | 80 | 37.5% | 26.4% | +0.34 R vs +0.02 R | No clear edge |
| US stocks · Daily | 8,060 | 24.3% | 25.0% | −0.21 R vs −0.19 R | No clear edge |
| ETFs · Daily | 396 | 31.6% | 28.8% | −0.04 R vs −0.10 R | No clear edge |
| Indices · Daily | 236 | 26.7% | 25.8% | −0.18 R vs −0.20 R | No clear edge |
| Forex · Daily | 69 | 27.5% | 29.0% | −0.09 R vs −0.07 R | No clear edge |
| Commodities · Daily | 55 | 32.7% | 28.2% | +0.06 R vs −0.04 R | No clear edge |
| All markets · Daily | 8,896 | 24.9% | 25.2% | −0.19 R vs −0.18 R | No clear edge |
| Crypto · Weekly | 1 | 0.0% | 0.0% | −1.00 R vs −0.64 R | Not enough data |
| US stocks · Weekly | 860 | 20.9% | 20.7% | −0.33 R vs −0.33 R | No clear edge |
| ETFs · Weekly | 43 | 14.0% | 15.3% | −0.58 R vs −0.51 R | No clear edge |
| Indices · Weekly | 25 | 40.0% | 28.0% | +0.20 R vs −0.11 R | Not enough data |
| Forex · Weekly | 11 | 45.5% | 33.3% | +0.59 R vs 0.00 R | Not enough data |
| Commodities · Weekly | 13 | 23.1% | 30.8% | −0.31 R vs −0.05 R | Not enough data |
| All markets · Weekly | 953 | 21.4% | 20.9% | −0.32 R vs −0.33 R | No clear edge |
After the breakout
| Market | Occurrences | False starts | Same, random dates | Throwbacks |
|---|---|---|---|---|
| Crypto · 1-hour | 9,384 | 46.8% | 43.9% | 49.5% |
| Forex · 1-hour | 1,940 | 52.0% | 47.9% | 49.8% |
| All markets · 1-hour | 11,324 | 47.7% | 44.6% | 49.5% |
| Crypto · 4-hour | 1,635 | 47.8% | 44.0% | 47.4% |
| Forex · 4-hour | 436 | 40.6% | 45.7% | 44.6% |
| All markets · 4-hour | 2,071 | 46.3% | 44.4% | 46.8% |
| Crypto · Daily | 89 | 29.6% | 44.0% | 47.0% |
| US stocks · Daily | 8,121 | 52.8% | 50.1% | 51.7% |
| ETFs · Daily | 399 | 48.2% | 50.4% | 57.5% |
| Indices · Daily | 238 | 53.4% | 54.3% | 58.2% |
| Forex · Daily | 71 | 44.8% | 50.8% | 52.9% |
| Commodities · Daily | 58 | 54.5% | 50.4% | 47.4% |
| All markets · Daily | 8,976 | 52.4% | 50.2% | 52.1% |
| Crypto · Weekly | 1 | 100.0% | 75.0% | 100.0% |
| US stocks · Weekly | 883 | 55.3% | 52.8% | 48.4% |
| ETFs · Weekly | 44 | 72.1% | 61.7% | 51.2% |
| Indices · Weekly | 26 | 52.0% | 57.7% | 44.0% |
| Forex · Weekly | 11 | 27.3% | 41.7% | 45.5% |
| Commodities · Weekly | 14 | 35.7% | 58.9% | 42.9% |
| All markets · Weekly | 979 | 55.4% | 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 tested | Occurrences (2:1 trades) | 2:1 target hit | Same trade, random dates | Expectancy before costs |
|---|---|---|---|---|
| Bearish, crypto, hourly | 9,384 (9,377) | 28.1% | 30.4% | −0.03 R vs +0.03 R |
| Bullish, crypto, hourly | 13,967 (13,961) | 30.4% | 29.7% | +0.01 R vs +0.01 R |
| Bearish, crypto, 4-hour | 1,635 (1,634) | 26.9% | 30.4% | −0.09 R vs +0.03 R |
| Bullish, crypto, 4-hour | 3,195 (3,180) | 29.9% | 31.3% | −0.01 R vs +0.04 R |
| Bearish, all markets, daily | 8,976 (8,896) | 24.9% | 25.2% | −0.19 R vs −0.18 R |
| Bullish, all markets, daily | 8,494 (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.
