How we tested this pattern
- Sample
- 100,516 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.Doji whose upper and lower shadows are both longer than the average half-shadow of the previous 10 candles. The candle's range is at least the average range, and the shorter shadow is at least a third of the longer one.
- 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 · Raw data (JSON)
At a glance: what textbooks say, what we measured
- Direction
- Neutral
- Occurrences tested
- 100,516 occurrences, all markets, daily
- Where it did best
- US stocks, daily: 0.00 R 2:1 trade vs random dates, not proven
- Verdict
- 2:1 trade: No clear edge
On this page
- What is a long-legged doji?
- How to identify a long-legged doji candlestick
- The psychology behind the long-legged doji
- Long-legged doji versus other doji patterns
- Significance of the long-legged doji in market trends
- Trading strategies for the long-legged doji
- Integrating technical indicators with the long-legged doji
- Risk management when trading doji patterns
- Advantages and limitations of the pattern
- Is the long-legged doji reliable?
- Real examples of the long-legged doji
- Best practices for backtesting your strategy
- Frequently asked questions
- Summary
A long-legged doji is a candlestick with almost no real body and long upper and lower shadows: the opening and closing prices are nearly equal, while the market traveled above and below them by more than the recent shadows. It reflects indecision in the market, not a bullish or bearish signal on its own, and it appears in every financial market.
This article explains how to identify the long-legged doji candlestick pattern, what it says about buyers and sellers in technical analysis, how it differs from other doji patterns, and how to trade it. It also answers the question that matters for a trader: what happened next. Our research bench applied the same rule to full market history, which gave 100,516 occurrences in daily data alone across stock, crypto, forex, ETF, index and commodity markets, and compared the outcome with random dates on the same assets.
What is a long-legged doji?
The long-legged doji is a single-bar pattern from Japanese candlestick analysis, sometimes written long legged doji without the hyphen. Steve Nison, who introduced Japanese candlestick charts to Western traders in Japanese Candlestick Charting Techniques (1991), describes it as a doji with very long upper and lower shadows, and treats it as a sign that the market has lost its sense of direction. Like every doji candlestick pattern, its open and close are at, or very close to, the same price.
Our bench writes the rule so a computer can apply it without judgment: a doji (a body of at most 10% of the average range of the 10 previous candles) whose upper and lower shadows are both longer than the average half-shadow of those 10 candles, whose whole range is at least the average range of those candles, and whose shorter shadow is at least a third of the longer one. No prior trend is required. Sizes are relative to recent candles, as in the open-source TA-Lib library, but our shadow test is stricter: on the bars compared, we find 30.4 percent of the long-legged dojis that library flags.
How to identify a long-legged doji candlestick
To identify a long-legged doji on a chart, check three points once the session is over: the gap between the opening and closing prices, the two shadows, and the size of the whole range compared with recent sessions.
- Long upper shadow> avg half-shadow, last 10
- Doji bodyopen near close
- Long lower shadow> avg half-shadow, last 10
Visual structure and characteristics
The doji looks like a cross with extended arms up and down. The figures below are not drawn by hand: they are the median shape of the clean occurrences our bench detected, with the faded candles showing what came before, and the lines of the two trades we test, one on each side.
Defining the shadows and the body
- Real body: a thin line or a tiny rectangle. The opening price and the closing price are almost the same, so the color carries little information.
- Upper shadow: long, showing that buyers pushed prices well above the open at some point.
- Lower shadow: long as well, showing that sellers also pushed prices well below it.
- Position of the real body: anywhere in the middle half of the range under our rule, since the shorter shadow must be at least a third of the longer one. When it sits exactly in the middle, it is called a rickshaw man.
One detail is easy to miss. In daily data, the median long-legged doji our bench found spans 2.86% of price, or 1.09 times the average true range (ATR) of the asset. The legs are extended compared with recent shadows, but the whole candle is about the size of an average session.
The psychology behind the long-legged doji
Market indecision explained
The candle tells the story of one session. Price opens, moves one way, then the other way, and the closing price comes back to the opening level. Neither side kept control. The two shadows are the trace of two rejected moves: buyers were rejected at the high and sellers at the low.
The battle between buyers and sellers
Buyers and sellers both had a turn and both failed to hold it. Classical candlestick analysis (Nison) reads that balance as a pause: after a strong trend, it may indicate that momentum is fading and that a potential reversal is near; in a range, it simply reflects a market that has not chosen a side. That reading is plausible, but it describes one candle. Whether the indecision leads anywhere is a question for data, which we answer in the reliability section.
Long-legged doji versus other doji patterns
All doji patterns share the same feature: an opening price and a closing price nearly equal. What changes is the length of the upper and lower shadows. Here is how the long-legged doji compares with related patterns, with each one's 2:1 result in daily data, taken from its own page.
- Dragonfly DojiNeutral2:1 trade, daily No clear edge
- Gravestone DojiNeutral2:1 trade, daily No clear edge
- Spinning TopNeutral2:1 trade, daily No clear edge
Comparison with dragonfly doji
The dragonfly doji has a long lower shadow and almost no upper shadow: open, top and close at the same price. Its 2:1 setup hit the target in 35.5% of 58,832 trades against 35.0% on random dates, and its average result per trade (+0.06 R against +0.04 R) does not beat random dates by a margin that passes our statistical test.
Comparison with gravestone doji
The gravestone doji is the mirror image: a long upper shadow and almost no lower one. Its 2:1 setup hit the target in 32.0% of 49,732 trades against 32.2% on random dates: about the same hit rate, and the average result per trade does not beat random dates by a margin that passes our statistical test.
Comparison with a standard doji
A standard doji candlestick only requires a close almost equal to the open; its shadows can be of any length. The long-legged doji is the subset with extended shadows on both sides. Over 1,194,453 daily doji trades, the 2:1 setup hit the target in 33.7% of cases against 33.5% on random dates, rated No clear edge: its average result per trade is not statistically different from random dates.
Comparison with a spinning top
A spinning top has a small but visible real body, with shadows longer than it. The long-legged doji has almost none. Both are indecision patterns, and both showed the same result: the spinning top hit its target in 33.4% of 787,847 trades against 33.4% on random dates, with no measurable difference in average result per trade (−0.01 R against −0.01 R). The high wave candle, with both shadows at least three times the body, sits between the two.
Significance of the long-legged doji in market trends
In classical candlestick analysis, context gives the pattern its meaning: the same doji candlestick reads differently at the top of a rally, at the bottom of a decline and in the middle of a range.
Long-legged doji after an uptrend
When a long-legged doji forms after a strong uptrend, near a resistance level, the classical reading sees a warning that buyers are losing control: they pushed prices up, could not hold them, and the close came back to the open. It can be the middle candle of a bearish reversal candlestick pattern such as the evening star. In daily data, occurrences after a rise hit the 2:1 target in 32.9% of cases, for an expectancy of −0.02 R.
Long-legged doji after a downtrend
When it forms after a downtrend, near a support level, the same doji is read as a sign that sellers are losing momentum, sometimes the middle candle of a bullish reversal pattern, the morning star. In daily data, occurrences after a decline hit the target in 33.5% of cases, for an expectancy of 0.00 R. The gap between the two groups is small, and these breakdowns are descriptive, not corrected for the number of tests.
Trading strategies for the long-legged doji
Because the pattern points neither up nor down, one approach in doji trading is to let the next candles decide. These trading strategies use the doji range as the trigger.
- Buy stop
- At the pattern high, stop loss at the low
- Sell stop
- At the pattern low, stop loss at the high
- Target (TP)
- Twice the risk (2:1), on the side hit first
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.
Trading the breakout of the doji range
This is the setup our bench simulates on every occurrence: a buy stop just above the high of the doji and a sell stop just below its low, valid 20 bars. The first side to break is traded, and the break itself serves as confirmation, with a stop loss at the opposite end of the candle and a target at twice the risk. In daily data one side almost always broke: the entry was triggered on 99.9% of occurrences.
Confirmation using price action
A stricter entry waits for confirmation through price action: a candle that closes beyond the range of the doji, not just a touch. A close gives a later entry, further from the stop, and filters out some false breaks. Our statistics measure the stop order entry, not the close, so consider a confirmed close as a different, untested rule.
Using volume as a confirmation tool
Classical candlestick analysis reads higher volume on the doji as a stronger clue. We measured it: in daily data, occurrences with volume above 1.5 times the 20-day average hit the 2:1 target in 33.3% of cases (0.00 R), against 33.2% on normal volume (−0.02 R). On hourly crypto, 31.5% against 31.1%. Volume barely changed the result.
Integrating technical indicators with the long-legged doji
Combining with support and resistance zones
Classical candlestick analysis gives more weight to a long-legged doji that forms at support or resistance already marked on the chart: a prior swing, a round number, a gap. The logic is that the indecision happens where a decision on the trend is expected. We have not measured the effect of support or resistance zones.
Using relative strength index (RSI) for confluence
One rule takes the pattern only when the RSI, a momentum indicator, is overbought (above 70) or oversold (below 30). We have not tested this indicator filter: if you use it, test it on your own market first.
Applying moving averages for trend context
Moving averages are the filter we did test. In daily data, occurrences above the 200-day moving average hit the 2:1 target in 32.9% of cases (−0.02 R), against 33.7% below it (0.00 R). The larger trend changed the target-hit rate by about one percentage point.
Bollinger band extremes and volatility
Another filter looks for the doji outside the Bollinger Bands, where prices are stretched and volatility is high. This is a matter of confluence between technical indicators, and we have no data on it.
Risk management when trading doji patterns
Setting stop-loss orders correctly
Determining profit targets
The target we test is twice the risk; another option is the next support or resistance level, which we have not tested. In daily data, trades that hit the 2:1 target took a median of 5 bars; stopped trades took a median of 3 bars.
Calculating risk-to-reward ratios
With a 2:1 target, a position must win more than one time in three to break even before costs. The long-legged doji hit that target in 33.2% of 100,256 daily trades: break-even, with fees and slippage still to pay. Also note that, of the trades that hit their stop, 24.2% had first reached +1 R, which is the argument for a partial exit or a trailing stop.
Advantages and limitations of the pattern
Why the pattern appeals
- Easy to spot: a cross with extended shadows on both sides.
- Clear levels: the two ends of the candle define both the entry and the stop.
- Frequent: roughly one occurrence every 84 bars in daily data and every 78 on hourly bars.
Common pitfalls and false signals
- No bias: the pattern does not say which way prices will break.
- No edge on its own: in daily data the breakout setup did almost exactly as well as random dates.
- On hourly crypto, the breakout did slightly worse than chance in average result per trade, a difference confirmed by our correction.
- Calling a reversal before price confirms it, or reading every cross as a signal, including those in quiet sideways market conditions.
- Trading every occurrence the same way, whatever the trend and market conditions around it.
Is the long-legged doji reliable?
Not on its own. On most markets and intervals we tested, the breakout of a long-legged doji hit its 2:1 target about as often as the same trade placed on random dates; on hourly crypto charts, and on all markets combined on hourly charts, it did worse, a gap that holds after our correction for multiple testing; a few other rows pass a simple test but not our correction, such as weekly ETFs (weak, below chance); and no row showed an edge over chance that holds after our correction. Here are the numbers from our test bench, which applies the same rule to full history.
Hit the 2:1 target, compared with the same trade on random dates.
Measured on 100,256 closed trades on 100,516 daily long-legged doji occurrences across 2,338 assets. The same trade on random dates on the same assets is the honest baseline.
No clear edgeLong-legged doji 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 statistics
Full results for the long-legged doji, 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
As a 2:1 trade: Not a reliable signal on its own here. Use it as context, not as a trigger.
Long-legged doji: 100,516 occurrences tested
Neutral pattern · All markets · Daily · 2,338 assets · 1970-03 to 2026-10
What this means. This pattern has no expected direction, so only the 2:1 trade is compared with the same trade on random dates. For the 2:1 trade: no measurable difference from the same trade on random dates on the same assets.
Timeline
- Entry triggered, after the pattern
- 1 day · middle half 1 to 1 · on 100,449 triggered entries
- Stop order beyond the pattern's extreme. 193 of these entries are not among the 100,256 trades: still open at the end of our data, or left out by the trade rules.
- Time to the 2:1 target, when hit
- 5 days · middle half 3 to 11 · on 33,279 trades that hit it
- Time to the stop, when hit
- 3 days · middle half 1 to 6 · on 66,735 trades that hit it
- Time in the trade, all exits
- 4 days · middle half 2 to 8 · on 100,256 trades
Size and trade path
- Pattern range, high to low
- 2.9% · middle half 2.0% to 4.3% · on 100,516 occurrences
- Range vs average bar (ATR)
- 1.09× · middle half 1.00× to 1.24× · on 100,516 occurrences
- Best open profit during the trade
- 0.98 R · middle half 0.30 R to 2.10 R · on 100,256 trades
- Stopped trades that were first up 1 R
- 24.2% · on 66,735 stopped trades
- Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
- Entry order triggered
- 99.9% · on 100,516 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. Doji whose upper and lower shadows are both longer than the average half-shadow of the previous 10 candles. The candle's range is at least the average range, and the shorter shadow is at least a third of the longer one. Candlestick counts are not checked against planted examples, so they may not be exhaustive.
All measurements (20 rows)
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 | 183,675 | 31.2% | 33.2% | −0.06 R vs +0.01 R | Opposite of the textbook |
| Forex · 1-hour | 32,923 | 32.5% | 32.5% | −0.02 R vs −0.02 R | No clear edge |
| All markets · 1-hour | 216,598 | 31.4% | 33.1% | −0.05 R vs 0.00 R | Opposite of the textbook |
| Crypto · 4-hour | 44,777 | 32.4% | 33.2% | −0.02 R vs +0.01 R | No clear edge |
| Forex · 4-hour | 7,365 | 33.6% | 33.0% | +0.01 R vs −0.01 R | No clear edge |
| All markets · 4-hour | 52,142 | 32.6% | 33.1% | −0.01 R vs 0.00 R | No clear edge |
| Crypto · Daily | 6,530 | 35.1% | 33.4% | +0.07 R vs +0.02 R | No clear edge |
| US stocks · Daily | 87,899 | 33.0% | 32.8% | −0.02 R vs −0.02 R | No clear edge |
| ETFs · Daily | 2,780 | 33.1% | 34.4% | −0.03 R vs +0.01 R | No clear edge |
| Indices · Daily | 1,256 | 35.0% | 36.9% | +0.04 R vs +0.10 R | No clear edge |
| Forex · Daily | 954 | 34.8% | 32.3% | +0.05 R vs −0.02 R | No clear edge |
| Commodities · Daily | 837 | 31.3% | 36.8% | −0.08 R vs +0.10 R | Weak, below chance |
| All markets · Daily | 100,256 | 33.2% | 33.0% | −0.01 R vs −0.02 R | No clear edge |
| Crypto · Weekly | 716 | 35.9% | 32.2% | +0.09 R vs −0.02 R | Not enough data |
| US stocks · Weekly | 14,801 | 33.9% | 33.8% | +0.02 R vs +0.02 R | No clear edge |
| ETFs · Weekly | 496 | 31.5% | 36.4% | −0.06 R vs +0.09 R | Weak, below chance |
| Indices · Weekly | 239 | 40.6% | 36.9% | +0.21 R vs +0.11 R | No clear edge |
| Forex · Weekly | 188 | 31.4% | 30.1% | −0.06 R vs −0.09 R | No clear edge |
| Commodities · Weekly | 171 | 38.6% | 38.3% | +0.15 R vs +0.15 R | No clear edge |
| All markets · Weekly | 16,611 | 34.0% | 33.8% | +0.02 R vs +0.02 R | No 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 long-legged doji signals indecision before a big move.”
What our data shows
On 100,256 daily closed trades, the 2:1 trade taken on the side of the first breakout hit its target 33.2% of the time, against 33.0% for the same trade on random dates: no clear edge, since the average result per trade is not statistically significant.
Table quoted in the text (verdicts and every market: see All measurements)
| Market and interval | Closed trades | 2:1 target hit | Same trade, random dates | Expectancy | Verdict |
|---|---|---|---|---|---|
| All markets, daily | 100,256 | 33.2% | 33.0% | −0.01 R | No clear edge |
| US stock market, daily | 87,899 | 33.0% | 32.8% | −0.02 R | No clear edge |
| Crypto, daily | 6,530 | 35.1% | 33.4% | +0.07 R | No clear edge |
| Crypto, hourly | 183,675 | 31.2% | 33.2% | −0.06 R | Worse than chance |
| Crypto, 4-hour | 44,777 | 32.4% | 33.2% | −0.02 R | No clear edge |
| Forex, hourly | 32,923 | 32.5% | 32.5% | −0.02 R | No clear edge |
| All markets, weekly | 16,611 | 34.0% | 33.8% | +0.02 R | No clear edge |
Read the table in pairs of columns. In daily data, the breakout trade hit its 2:1 target in 33.2% of 100,256 trades, against 33.0% for the same entry, stop and target placed on random dates of the same assets. The expectancy, the average result per trade in units of risk (R) before costs, is −0.01 R: no clear edge. Because the pattern has no expected direction, we do not report a "moved as expected" rate.
Daily crypto looks better at first sight (35.1% against 33.4%, +0.07 R), but on 6,595 occurrences (6,530 closed trades) the gap in average result per trade does not pass our test, so we do not count it as an edge. On hourly crypto, the breakout did worse than random dates (31.2% against 33.2%), a difference that holds after our correction for the thousands of tests we run. The full table, with every market and interval, is in the statistics section of this page, and the method is in our methodology.
Real examples of the long-legged doji
The gallery in this section shows real long-legged dojis picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome. The cases written up in this section are on daily crypto charts.
Real occurrences from our test bench, each on its market's main timeframe. Crypto and US stock examples 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. 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 44 cards: 37 with a shape that does not read as the definition on this page, 3 with an overnight jump that may be a switch between two futures contracts, 4 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.
Example: a breakout that worked
On July 19, 2018, ADA/USDT printed a long-legged doji after a sharp rally: open at 0.18061, close at 0.18191, high at 0.19217 and low at 0.17149, with shadows of about the same length on each side. The next day price broke the low, triggering a sell entry at 0.17149 with a stop at 0.19217 and a target at 0.13013. The target was hit on August 2, and ADA was 10.6% lower 10 days after the doji.
Example: two breakouts that failed
On November 2, 2022, UNI/USDT printed one between 6.83 and 7.38. The following session, price broke the top, triggering a buy entry at 7.38, and on November 4 it dipped to 6.81 and hit the stop at 6.83: a full 1 R loss. UNI then collapsed and was 21.7% lower 10 days after the doji, so the stop did its job. On October 26, 2021, LINK/USDT printed one between 31.31 and 33.82 after a rally. The next session traded from 27.91 to 33.91, through both extremes: the buy entry at 33.82 triggered, and the bench counts the touch of the bottom that same day as a 1 R loss. LINK was virtually unchanged 10 days after the doji (+1.0%).
Best practices for backtesting your strategy
Before you put money from your trading account on this pattern, run the same test we run, at a smaller scale:
- write the rule down: what counts as an extended shadow, which side you trade, where the stop and target go;
- mark the last 50 occurrences on your own chart, winners and losers alike;
- record each result in R, then place the same trade on random dates and compare;
- apply the same rules on every chart, without keeping only the setups that look good afterwards.
TradingView can flag candlestick patterns, and the open-source TA-Lib library has a CDLLONGLEGGEDDOJI function. Check the definition your tool uses: thresholds for an extended shadow differ, and so do the results.
Frequently asked questions
Is a long-legged doji a bullish or bearish signal?
Neither. It is an indecision candlestick pattern. It becomes a bullish or bearish signal only through context and the next candles, and in our data, on daily charts, the first breakout did as well as a random trade; on hourly crypto it did worse.
Does the color of the doji candle matter?
Very little. The open and close are so close that the difference between a green and a red one is a few ticks. Our statistics count both colors together.
How often does the long-legged doji occur?
Often: about one candle in 84 on daily bars, one in 78 on hourly bars and one in 92 on weekly bars.
Can this pattern be used for day trading?
It appears on intraday charts too. On hourly crypto, its breakout hit the target in 31.2% of 183,675 trades against 33.2% for random dates, and on hourly forex 32.5% on 32,923 trades against 32.5%. Neither result is a positive edge, and on hourly crypto the setup did worse than chance, a gap in average result per trade confirmed by our correction.
How does volatility impact this pattern?
A long-legged doji is a session with long shadows that ends where it started, and the median candle is about the size of an average session. Since the stop sits at the end of a wick, a wider candle means a wider stop and a smaller position for the same loss at the stop.
Is the long-legged doji reliable in sideways markets?
We have not measured this split. In classical candlestick analysis, a doji in the middle of a range adds little, while one at the edge of the range marks a level to watch.
What does a long shadow imply for future price movement?
It shows that prices were tested and rejected during the session. It does not imply an upward or downward move: in daily data, trades after a prior rise and after a prior decline both stayed close to break-even (−0.02 R after a rise, 0.00 R after a decline).
Can I use this pattern on all timeframes?
Yes, the definition is the same on every timeframe. Hourly charts stood out, in the wrong direction: on hourly crypto, the average result per trade was −0.06 R against +0.01 R, a gap that survives our correction; 4-hour charts showed a smaller gap of the same sign, which our tests do not separate from chance. On weekly bars, all markets together, the average result (+0.02 R against +0.02 R) did not differ measurably from chance.
How to distinguish between a reversal and a continuation?
Wait for the break and read it against the trend. A close above the doji in an uptrend, or below it in a downtrend, is read in classical analysis as continuation; a close the other way as a potential reversal. We have not tested this reading, and there is no guarantee either way.
Summary
- A long-legged doji has almost no body and long upper and lower shadows: open and close are nearly equal, and both shadows are longer than usual.
- This candle signals indecision, not a bullish or bearish move.
- On 100,516 daily occurrences (100,256 closed trades), the breakout setup hit its 2:1 target in 33.2% of cases, almost exactly as often as the same trade on random dates.
- On hourly crypto it did slightly worse than chance (31.2% against 33.2%).
- Volume, the prior trend and the 200-day moving average changed the target-hit rate by about one percentage point at most.
If you trade this pattern, treat it as a location for a trade, not a signal on its own. Define the stop before entry, size the position on that distance and keep the risk per trade small. Nothing in this content is investment advice, and past results are no guarantee for future investment decisions: trading involves risk of loss, and no candlestick pattern removes it.
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.
