CandlestickBullish

Morning Star Candlestick Pattern: How to Identify and Trade It

A long falling candle, a small star below it, then a strong rising candle: the morning star. Learn how to identify it, confirm it, trade it and judge it against random dates.

· Founder of PatternsWizard
Updated Statistics updated 18 min read
Morning star pattern

How we tested this pattern

Sample
3,039 occurrences on 6 markets (crypto, forex, US stocks, ETFs, indices and commodities), 1977 to 2026.
Detection
Found by code, never picked by hand: every match of the rule on full price history, winners and losers alike.After a downtrend: a long black candle, a short body gapping below it, then a white candle closing at least 30% into the black body. Any gap counts, even one tick. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them.
Benchmark
Each occurrence is compared with the same assets on random bars: the move 10 bars later, and a 2:1 reward-to-risk trade.
Checks
Block bootstrap and a correction for the thousands of tests we run, plus a random-walk self-test that the bench passes: on random prices, no pattern should win.
Updated
Data updated November 5, 2026, code version c2a1683f. Read the methodology · Raw data (JSON)

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At a glance: what textbooks say, what we measured
Direction
Bullish
Occurrences tested
3,039 occurrences, all markets, daily
Textbook: price should rise after it
Too close to call · +0.33% vs the market, 10 bars
Where it did best, US stocks left out
Indices, daily: +0.48 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 morning star candlestick pattern?
  2. How to identify the morning star pattern
  3. The psychology behind the morning star pattern
  4. Morning star vs. morning doji star: what is the difference?
  5. How to trade the morning star pattern
  6. Morning star trading strategies
  7. Combining with technical indicators
  8. Morning star vs. evening star: the bearish counterpart
  9. Pros and cons of using the morning star pattern
  10. How reliable is the morning star candlestick pattern?
  11. Common mistakes when trading the morning star
  12. Real examples of the morning star pattern
  13. Frequently asked questions
  14. Summary

The morning star candlestick pattern is a three-candle bullish reversal pattern that forms after a downtrend: a long bearish candle, a small candle that gaps lower, then a long bullish candle that closes well into the body of the first one. The name comes from the planet Venus, the morning star that appears before sunrise: classical candlestick analysis reads the pattern as a sign that the decline may be ending.

This guide explains how to identify a morning star, the psychology behind it, how to trade it, and how it compares with the evening star and other bullish reversal patterns. It also answers the question that matters for a trader: what happened after it. Our bench scanned full price history and detected 3,039 in daily market data alone across stocks, crypto, forex, ETFs, indices and commodities, and compared the outcome with random dates on the same assets.

What is the morning star candlestick pattern?

The morning star candlestick pattern is a bullish reversal pattern consisting of three candles, and a classic of candlestick technical analysis. It appears at the end of a downtrend and suggests that selling pressure is fading and buyers are taking over. The first candle continues the decline, the second reflects indecision, and the third confirms buyers in control.

Steve Nison, who introduced Japanese candlestick charting to Western traders in Japanese Candlestick Charting Techniques (1991), describes the morning star as a bullish bottom reversal pattern. Its bearish counterpart, the evening star, forms at the top of an uptrend. Morning star signals appear in every market and on any timeframe.

How to identify the morning star pattern

To identify a morning star on a price chart, look for the following key points: a clear downtrend, then three candlesticks with the shapes below, in this order.

123
  1. Long black candleafter a downtrend
  2. Short body gapping below
  3. White candlecloses at least 30% into black body
Median shape of 1,637 daily occurrences from all markets, those with the candle colors drawn here (58% of the 2,814 usable), found by our test bench.

The three-candle formation explained

The morning star consists of three candlesticks, read from left to right on the chart:

  1. First candle: a long bearish candle. It is a red (bearish) candle that extends the downtrend: sellers are in control and close the session near the bottom.
  2. Second candle: a small body that gaps lower. It opens and closes below the real body of the first candle. It can be white or black (green or red); when it is a doji, the pattern is called a morning doji star. This is the "star".
  3. Third candle: a long bullish candlestick. It closes well into the body of the first candle, often in its upper half in textbook descriptions.

The chart below is not drawn by hand. It is the median shape of the morning star patterns our bench detected on daily charts across all markets, with the faded candles showing the decline before the pattern, and the lines of the position we test: entry above the pattern high, stop below its low, target at twice the risk.

TPSLEntryBullish
Bullish setup on the median shape of 1,637 daily occurrences from all markets, with entry, stop loss (SL) and 2:1 target (TP)

Key characteristics and criteria

Our test bench applies the same rule without judgment, with the thresholds of the open-source TA-Lib library, apart from a higher bar for long bodies:

  • A downtrend before the pattern: the close before the first candle is at least one ATR lower than 10 bars earlier, a period long enough to show a bearish move, and in the lower half of the last 40 closes.
  • A long black first candle, more than 1.3 times the average of the 10 previous candlesticks (1.6 times on a textbook pattern) and at least 0.6 times the largest of them.
  • A short second candle that opens and closes under the first one's real body (a gap between the bodies of at least a tenth of the median candle range).
  • A white third candle that is not short and closes at least 30% of the way into the first body. TA-Lib uses the same 30% default for this "penetration".

On the median daily occurrence, the three candles span 6.55% of price, or 1.98 times the average true range (ATR) of the asset. A morning star is a large formation, which matters for the stop loss.

The psychology behind the morning star pattern

The morning star pattern tells a three-session story. In the first period, bears push prices down with a long bearish candle, confirming the downtrend. In the second candle, the market gaps lower but the move stalls: the small star reveals that sellers can no longer push much further, and buyers start to absorb the selling. In the third candle, bulls take control and drive the market back up into the first candle, erasing a large part of the decline.

The pattern therefore indicates a shift in momentum at the end of a downtrend: from selling pressure, through indecision, to buying pressure. The stronger the third candle, the more convincing the shift looks. That reading is plausible, but whether three candles cause a trend reversal is a question for data. We come back to it in the reliability section.

Morning star vs. morning doji star: what is the difference?

A morning doji star is a morning star pattern whose middle candle is a doji: its open and close are equal or almost equal. Classical candlestick analysis reads it as a stronger version because it reflects more complete indecision; we test the morning star as a whole, doji or not. The rest of the formation is identical.

Our bench does not test the morning doji star separately. Because a doji is also a short body, morning doji stars that meet our gap rule are included in our morning star statistics. When the doji gaps entirely below both neighbors, shadows included, the pattern becomes a bullish abandoned baby, a much rarer formation: 20 in our daily data, against 3,039 for the morning star pattern.

How to trade the morning star pattern

The classic way to trade a morning star is to buy a break above the pattern after the open of the next session, with a stop loss below its lowest point and a target set as a multiple of the risk. This is the trading setup our bench simulates on every occurrence.

TPSLEntryBullish
Entry
Buy stop at the pattern high
Stop loss (SL)
At the pattern low
Target (TP)
Twice the risk (2:1)
The trade our bench tests, drawn on the typical shape. Median shape of 1,637 daily occurrences from all markets, those with the candle colors drawn here (58% of the 2,814 usable).

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.

◂ Pattern10.854.96+10 barsTPSLEntry2008-092009-01
TextbookNEE October 13, 2008Daily chart3.7% against the expected direction after 10 bars2:1 trade: closed at −0.22 R, 100 bars after entry, past this chart

Setting up your entry strategy

There are two entries. The aggressive one buys at the close of the third candle. The conservative one places a buy stop just above the high of the pattern and waits for the market to move through it. In our daily tests, the buy stop was triggered in 78.3% of cases; in 21.1% of cases, price fell under the pattern first and the setup was canceled before any trade. The remaining setups expired: neither level was reached within 20 bars, or before the end of the data.

Stop loss placement for risk management

Determining take profit targets

The target we test is twice the risk (a 2:1 reward-to-risk ratio). Because the risk is wide, this target is far: in daily trading, trades that reached it took a median of 21 days, and trades that were stopped took a median of 9 days. The next resistance level or a falling moving average above price is another reasonable target. Note that, of the trades that ended at the stop, 20.9% had first moved 1 R in their favor.

Morning star trading strategies

Three trading strategies use the morning star candlestick pattern as their entry signal. Each one adds a filter the pattern does not have on its own. Test any of them on your own market before you risk money.

Strategy 1: the support bounce

Mark key support levels on the chart first, then look for a morning star candlestick pattern that forms on one of them. The signal is the combination of a level where buyers acted before and a pattern showing them acting again. Entry above the pattern, stop below the star, target at the next resistance or at twice the risk.

Strategy 2: the pullback in an uptrend

Take only the morning star setups that form during a pullback inside a larger uptrend, for example above a rising 200-day moving average. The idea is trading with the main trend and using the pattern to time the end of the pullback. In our daily data this filter did not help: the result was slightly better below the 200-day average than above it.

Strategy 3: the confirmed reversal

Wait for a fourth candle that closes above the pattern before entering, a confirmation rule that can be applied to any reversal signal. This confirmation gives fewer trading signals and a later, more expensive entry, and is meant to filter out some failed reversal attempts, when a morning star pattern turns out to be a pause in the decline rather than a reversal. The buy stop above the pattern that we test is a lighter form of the same confirmation.

Combining with technical indicators

The morning star is best not used alone. Classical candlestick analysis (Nison) holds that a reversal signal is stronger when several tools point the same way (our tests of volume and the 200-day average did not show it), so it is combined with support levels and indicators that describe the direction, the momentum or the volume around it.

Using support and resistance levels

A potential morning star that forms on a key support level (a prior swing low, a round number, a long-term moving average) gives the reversal a reason to happen at that price. We have not measured support levels, so treat this as a matter of judgment.

Combining with moving averages

We did test the 200-day moving average. On daily charts, the morning star pattern that formed above it (a pullback inside a long-term uptrend) reached the 2:1 target 39.0% of the time, with an expectancy of +0.22 R; those below it, 41.4% and +0.32 R. This breakdown is descriptive (not corrected for the number of tests): the long-term direction changed the result only a little.

Volume analysis for confirmation

One rule wants increased volume on the third candle, as a sign of strength from buyers. In daily data, a morning star pattern with volume above 1.5 times the 20-day average reached the 2:1 target 36.8% of the time, against 41.7% for the others. Heavier volume did not increase the success rate. Momentum indicators such as the RSI can also be used, for example a bullish divergence near an oversold reading: we have not tested an RSI filter.

Morning star vs. evening star: the bearish counterpart

The evening star, which appears after a rally, is the opposite signal and the mirror image of the morning star pattern on a candlestick chart: a long bullish candle, a small star that gaps up, then a long bearish candle that closes well into the first candle, after an uptrend. It signals a potential bearish reversal, where bears take over from bulls.

FeatureMorning starEvening star
Prior trendDowntrendUptrend
First candleLong bearishLong bullish
StarSmall star gapping lowerSmall star gapping higher
Third candleLong bullish, closes into the first candleLong bearish, closes into the first candle
2:1 trade on daily charts (our bench)40.6% of targets hit on 2,366 trades, 34.2% on random dates26.6% of targets hit on 3,005 trades, 25.8% on random dates

Neither showed a measurable difference from chance in average result per trade in daily data. The difference in raw numbers between the two comes mostly from the markets: these assets rose more often than they fell over our data, which helped any long position and hurt any short one (the same trades on random dates averaged +0.15 R long and −0.20 R short).

Morning star vs. other bullish candlestick patterns

The bullish harami is a two-candle pattern: a small candle inside the range of a long bearish candle, without the third confirming candle. The bullish engulfing pattern is a white candle that engulfs the prior black one. The piercing line is a white candle that opens below the prior low and closes above the middle of the prior black candle. The morning star adds a star between the two candles, which makes it slower but more complete. In daily data, our bench found these 2:1 results against random dates: bullish engulfing 36.9% on 48,554 trades against 35.7%, bullish harami 36.8% on 13,897 trades against 36.3%, piercing line 36.6% on 2,320 trades against 35.6%, morning star 40.6% on 2,366 trades against 34.2%. None of them showed an edge in average result per trade that survives our statistical correction.

Pros and cons of using the morning star pattern

Advantages of the strategy

  • Clear structure: the pattern consists of three candlestick shapes with precise criteria, easy to identify on a price chart.
  • Built-in confirmation: the third candle already reflects bulls stepping in, so the signal is more complete than one-candle signals.
  • A defined invalidation level: the bottom of the pattern.

Potential limitations and risks

  • On its own, it showed no edge that survives our correction on any market or timeframe we tested; the 2:1 trade is rated promising on one row, daily indices, on only 60 trades, without surviving our correction.
  • It is rare: about one occurrence every 2,592 daily bars, so a trader must follow a large watchlist to find enough setups.
  • The stop is wide and the target is far: trades last weeks on the daily timeframe.
  • On daily charts, 21.1% of setups were canceled before entry because the market broke the bottom of the pattern first.
  • Gaps are rare in 24/7 crypto and in forex, so the pattern forms less often there (see the crypto frequency in the FAQ and the forex counts in the reliability section).

How reliable is the morning star candlestick pattern?

The morning star candlestick pattern is not reliable on its own: across the markets and timeframes we tested, its average excess return over the rest of the market did not pass our statistical test (on weekly charts it even pointed the wrong way, at −1.07% after 10 weeks on 280 occurrences, within the margin of error), and its trade did not beat the same trade on random dates after our statistical correction. Here are the numbers from our test bench.

55.3%vs 54.3% at random

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

Measured on 3,039 daily morning star occurrences across 1,247 assets. Random bars on the same assets are the honest baseline.

No clear edge

Morning star 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 laterMorning starRandom bars
  • All markets
    All markets, Morning star: 55.3%
    All markets, Random bars: 54.3%
  • US stocks
    US stocks, Morning star: 55.3%
    US stocks, Random bars: 54.1%
  • ETFs
    ETFs, Morning star: 49.3%
    ETFs, Random bars: 56.5%
  • Indices
    Indices, Morning star: 68.6%
    Indices, Random bars: 57.6%
2:1 trade hit its targetMorning star tradeSame trade, random dates
  • All markets
    All markets, Morning star trade: 40.6%
    All markets, Same trade, random dates: 34.2%
  • US stocks
    US stocks, Morning star trade: 40.8%
    US stocks, Same trade, random dates: 34.4%
  • ETFs
    ETFs, Morning star trade: 31.3%
    ETFs, Same trade, random dates: 29.8%
  • Indices
    Indices, Morning star trade: 48.3%
    Indices, Same trade, random dates: 31.9%
All statistics

Full results for the morning star candlestick pattern, market by market

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

Our verdict

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

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

Morning star: 3,039 occurrences tested

Bullish pattern · All markets · Daily · 1,247 assets · 1977-04 to 2026-10

Moved the expected way after 10 bars
55.3%
vs 54.3% on random bars
Excess return vs its market, 10 bars
+0.33%
95% interval −0.002% to +0.66%
its market−3%+3%
2:1 trade hit the target
40.6%
vs 34.2% for the same trade on random dates
Average result per trade
+0.29 R
vs +0.15 R on random dates

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

Timeline

Entry triggered, after the pattern
1 day · middle half 1 to 2 · on 2,379 triggered entries
Stop order beyond the pattern's extreme. 13 of these entries are not among the 2,366 trades: still open at the end of our data, or left out by the trade rules.
Time to the 2:1 target, when hit
21 days · middle half 12 to 39 · on 961 trades that hit it
Time to the stop, when hit
9 days · middle half 4 to 22 · on 1,288 trades that hit it
Time in the trade, all exits
15 days · middle half 6 to 36 · on 2,366 trades

Size and trade path

Pattern range, high to low
6.5% · middle half 4.4% to 10.1% · on 3,039 occurrences
Range vs average bar (ATR)
1.98× · middle half 1.68× to 2.37× · on 3,039 occurrences
Best open profit during the trade
1.31 R · middle half 0.36 R to 2.09 R · on 2,366 trades
Stopped trades that were first up 1 R
20.9% · on 1,288 stopped trades
Trades a stop moved to breakeven at +1 R would have closed flat instead of at a loss
Entry order triggered
78.3% · on 3,039 occurrences

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

How we detect it. After a downtrend: a long black candle, a short body gapping below it, then a white candle closing at least 30% into the black body. Any gap counts, even one tick. A long body is at least 1.3 times the average body of the 10 candles before the pattern and at least 0.6 times the largest of them. Candlestick counts are not checked against planted examples, so they may not be exhaustive.

All measurements (14 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-hour1,03647.0%48.0%−0.11%No clear edge
Crypto · 4-hour6137.7%47.2%−0.86%No clear edge
US stocks · Daily2,81155.3%54.1%+0.33%No clear edge
ETFs · Daily13849.3%56.5%+0.31%No clear edge
Indices · Daily7068.6%57.6%+0.26%No clear edge
Forex · Daily1040.0%50.5%−1.13%Not enough data
Commodities · Daily1070.0%52.4%+1.33%Not enough data
All markets · Daily3,03955.3%54.3%+0.33%No clear edge
US stocks · Weekly24566.8%58.6%−0.93%No clear edge
ETFs · Weekly2268.2%63.1%−3.09%Not enough data
Indices · Weekly7100.0%61.4%−2.01%Not enough data
Forex · Weekly366.7%45.7%+2.94%Not enough data
Commodities · Weekly366.7%50.7%+1.32%Not enough data
All markets · Weekly28067.8%58.8%−1.07%No clear edge

2:1 trade: target hit and average result

R = initial risk of the trade. Entry by an order at the trigger level, filled at the open when a bar opens beyond it. Exit at the stop or the target, or at the open when a bar opens beyond either one; otherwise at the close after 100 bars. When one bar touches both the stop and the target, the loss is counted. No fees or slippage. n/a = not measured. Per trade: average result, against the same trade on random dates. Figures in gray: fewer than 30 closed trades, not interpreted.
MarketTradesTarget hitSame trade, random datesPer trade2:1 trade verdict
Crypto · 1-hour71933.7%34.0%+0.06 R vs +0.05 RNo clear edge
Crypto · 4-hour4231.0%35.0%+0.05 R vs +0.12 RNo clear edge
US stocks · Daily2,18140.8%34.4%+0.30 R vs +0.15 RNo clear edge
ETFs · Daily11231.3%29.8%−0.05 R vs +0.14 RNo clear edge
Indices · Daily6048.3%31.9%+0.51 R vs +0.05 RPromising
Forex · Daily540.0%26.7%+0.29 R vs −0.20 RNot enough data
Commodities · Daily875.0%46.9%+1.25 R vs +0.43 RNot enough data
All markets · Daily2,36640.6%34.2%+0.29 R vs +0.15 RNo clear edge
US stocks · Weekly18748.1%43.0%+0.53 R vs +0.41 RNo clear edge
ETFs · Weekly1963.2%50.4%+0.92 R vs +0.51 RNot enough data
Indices · Weekly666.7%47.2%+1.34 R vs +0.58 RNot enough data
Forex · Weekly333.3%33.3%0.00 R vs 0.00 RNot enough data
Commodities · Weekly333.3%33.3%0.00 R vs +0.11 RNot enough data
All markets · Weekly21849.5%43.5%+0.57 R vs +0.41 RNo clear edge

Data updated November 5, 2026 · code version c2a1683f · Read the methodology. We measure every pattern on crypto and forex (1-hour, 4-hour, daily and weekly charts) and US stocks, ETFs, indices and commodities (daily and weekly charts). On 1-hour and 4-hour forex charts the pattern only forms at the weekly open, across the weekend gap, so we do not publish those forex rows. Any other market or timeframe from that list missing from the tables above had no occurrence.

What you often read

“The morning star candlestick pattern is a reliable bullish reversal signal.”

What our data shows

On 3,039 daily occurrences, it moved in the expected direction 55.3% of the time, against 54.3% for random bars: no clear edge, since the average excess return is not statistically significant.

Table quoted in the text (verdicts and every market: see All measurements)
Market and timeframeOccurrences testedHigher 10 bars laterRandom barsClosed trades2:1 target hitSame trade, random datesExpectancy (R)
All markets, daily3,03955.3%54.3%2,36640.6%34.2%+0.29
US stocks, daily2,81155.3%54.1%2,18140.8%34.4%+0.30
Crypto, 4-hour6137.7%47.2%4231.0%35.0%+0.05
Crypto, hourly1,03647.0%48.0%71933.7%34.0%+0.06
Indices, daily7068.6%57.6%6048.3%31.9%+0.51
All markets, weekly28067.8%58.8%21849.5%43.5%+0.57

How to read the table

Read it in pairs of columns. In daily market data, 55.3% of morning star patterns were followed by a higher close 10 days later. That sounds bullish until you see that 54.3% of random days on the same assets were too: these assets rose a little more often than they fell over our data. The excess return over the rest of the market after 10 days is +0.33%, with a 95% confidence interval from 0.00% to +0.66%. The interval reaches down to zero: no clear edge.

The trading result looks better at first sight: in daily data it reached its 2:1 target in 40.6% of 2,366 trades, for an expectancy of +0.29 R per trade before costs. But the same entry, stop and target distances on random dates of the same assets gave 34.2% and +0.15 R. The gap in average result per trade does not pass our statistical tests. On daily indices the difference was wider (48.3% on 60 trades against 31.9%, for +0.51 R against +0.05 R per trade), and the row is rated promising, not proven: the gap in average result passes a simple test, not our correction for the thousands of tests we run. On 4-hour crypto charts, with only 42 trades, the pattern did worse than random dates (31.0% against 35.0%), and on daily crypto charts the bench finds no morning star at all with the current rules.

Does timing or the timeframe change the result?

Not much. In daily data, the morning star pattern was followed by a higher close after 1 day 51.3% of the time (random days: 50.8%), after 5 days 52.4% (53.1%), and after 20 days 56.7% (55.6%), descriptive figures outside the tests behind our verdicts. The weekly timeframe had the best raw numbers, but random weeks on the same assets also did well. The excess return after 10 days was +0.51% in the first half of the history and +0.15% in the second, so there is no sign of a hidden edge that faded.

On forex, the pattern is very rare (10 daily occurrences on 8 pairs), because forex prices rarely jump between sessions: too few cases for a firm conclusion. On hourly and 4-hour forex charts the pattern forms almost only at the weekly open, across the weekend gap, so we do not publish those rows. These results agree with academic work: Marshall, Young and Rose, in "Candlestick technical trading strategies: Can they create value for investors?" (Journal of Banking & Finance, 2006), found that candlestick strategies did not add value on large US stocks. The full table, with every market and timeframe, is in the statistics section of this page, and the method is in our methodology.

Common mistakes when trading the morning star

  • Ignoring the trend. Three candles with this shape in a sideways range are not a reversal: there is no downtrend to reverse.
  • Entering before the third candle closes. The pattern is only complete at the close of the third day, so wait for the open of the next one. Intraday, a strong bullish candle can still fade.
  • Accepting a weak third candle. A third candle that closes barely inside the first body, or that leaves a long upper shadow, shows little buying. The rule we test, like the TA-Lib default, requires at least a 30% penetration; a close past the middle of the first body is a stricter version.
  • A stop that is too tight. A stop placed inside the pattern rather than under it can be hit by ordinary swings.
  • Trading it in isolation. Our data shows no proven edge for the pattern alone. We tested only two filters, volume and the 200-day average, and neither improved the results. Use it as one input in a plan with risk management.

Real examples of the morning star pattern

The gallery in this section shows real morning stars picked by our bench (best and worst results, textbook shapes, most recent, random draws), with their actual outcome. The first case written up in this section is a card from that gallery, the other two are detections from the same bench; all three are on daily charts, of a stock index, a US ETF and a US stock (prices adjusted for dividends).

Real occurrences from our test bench, each on its market's main timeframe. US stock examples come from liquid assets only (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 13 cards: 11 with a shape that does not read as the definition on this page, 2 with an overnight jump that may be a switch between two futures contracts. They still count in the statistics, and are not replaced: our bench picks a fixed number of cards per category.

Market
Examples
US stocks overallAcross 2,811 daily morning star occurrences, price moved the expected way 10 bars later 55.3% of the time, against 54.1% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern48.6819.00+10 barsTPSLEntry2020-022020-05
Best tradeCOHR March 13, 2020Daily chart13.2% in the expected direction after 10 bars2:1 trade: target hit, +3.60 R
◂ Pattern45.6831.30+10 barsTPSLEntry2018-112019-02
Best tradeNOW December 26, 2018Daily chart12.1% in the expected direction after 10 bars2:1 trade: target hit, +3.27 R
◂ Pattern469.0299.6+10 barsTPSLEntry2026-032026-05
Worst tradeINTU April 13, 2026Daily chart5.5% in the expected direction after 10 bars2:1 trade: stopped out, −1.75 R
◂ Pattern10.854.96+10 barsTPSLEntry2008-092009-01
TextbookNEE October 13, 2008Daily chart3.7% against the expected direction after 10 bars2:1 trade: closed at −0.22 R, 100 bars after entry, past this chart
◂ Pattern243.4210.2TPSLEntry2026-092026-10
Most recentNVDA October 26, 2026Daily chart2:1 trade: in progress
◂ Pattern162.0681.81+10 barsTPSLEntry2026-052026-08
TypicalMSTR June 29, 2026Daily chart5.3% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern116.7095.66+10 barsTPSLEntry2022-08
TypicalQCOM October 3, 2022Daily chart4.8% against the expected direction after 10 bars2:1 trade: stopped out, −1.12 R
◂ Pattern114.9595.96+10 barsTPSLEntry2022-08
TypicalGOOGL September 7, 2022Daily chart9.3% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
ETFs overallAcross 138 daily morning star occurrences, price moved the expected way 10 bars later 49.3% of the time, against 56.5% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern88.4682.86+10 barsTPSLEntry2023-01
Best tradeTypicalIEF March 3, 2023Daily chart4.3% in the expected direction after 10 bars2:1 trade: target hit, +3.02 R
◂ Pattern130.6119.2+10 barsTPSLEntry2016-082016-10
Worst tradeGLD September 1, 2016Daily chart0.2% against the expected direction after 10 bars2:1 trade: stopped out, −1.80 R
◂ Pattern49.5441.33+10 barsTPSLEntry2008-062008-09
Worst tradeVTI July 16, 2008Daily chart3.7% in the expected direction after 10 bars2:1 trade: stopped out, −1.30 R
◂ Pattern91.4750.49+10 barsTPSLEntry2008-092008-11
TextbookDIA October 13, 2008Daily chart15.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern41.5821.90+10 barsTPSLEntry2008-09
TextbookEFA October 13, 2008Daily chart23.6% against the expected direction after 10 bars2:1 trade: stopped out, −1.15 R
◂ Pattern80.8650.31+10 barsTPSLEntry2026-05
Most recentSLV June 11, 2026Daily chart12.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.16 R
◂ Pattern35.6025.30+10 barsTPSLEntry2002-06
TypicalIWM July 5, 2002Daily chart12.1% against the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern25.1117.71+10 barsTPSLEntry2014-112015-03
TypicalEWZ December 17, 2014Daily chart1.0% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Indices overallAcross 70 daily morning star occurrences, price moved the expected way 10 bars later 68.6% of the time, against 57.6% for random bars. The average excess return does not pass our significance test.No clear edgeThe examples below are single cases.
◂ Pattern3,3943,231+10 barsTPSLEntry1988-071988-10
Best tradeS&P/TSX Composite August 24, 1988Daily chart0.4% in the expected direction after 10 bars2:1 trade: target hit, +2.09 R
◂ Pattern594.2550.4+10 barsTPSLEntry1992-07
Best tradeNasdaq Composite August 26, 1992Daily chart4.0% in the expected direction after 10 bars2:1 trade: target hit, +2.08 R
◂ Pattern10,2198,770+10 barsTPSLEntry2000-09
Worst tradeS&P/TSX Composite October 31, 2000Daily chart3.9% against the expected direction after 10 bars2:1 trade: stopped out, −1.35 R
◂ Pattern17,43014,670+10 barsTPSLEntry2007-10
Worst tradeNikkei 225 November 14, 2007Daily chart0.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.22 R
◂ Pattern21,68220,177+10 barsTPSLEntry2024-12
Most recentHang Seng January 14, 2025Daily chart5.2% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern2,7352,463+10 barsTPSLEntry1992-05
TypicalFTSE 100 June 16, 1992Daily chart3.6% against the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern2,6842,538+10 barsTPSLEntry1991-08
TypicalFTSE 100 September 25, 1991Daily chart0.5% against the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern14,01512,872+10 barsTPSLEntry2015-10
TypicalS&P/TSX Composite November 16, 2015Daily chart1.1% in the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
Examples
Commodities overallAcross 10 daily morning star occurrences, too few cases to give a percentage (we need at least 30).Not enough dataThe examples below are single cases.
◂ Pattern66.8056.00+10 barsTPSLEntry2001-03
Best tradeTypicalCoffee futures April 18, 2001Daily chart7.8% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern574.0364.0+10 barsTPSLEntry2008-09
Worst tradeTypicalCorn futures October 17, 2008Daily chart0.4% against the expected direction after 10 bars2:1 trade: stopped out, −1.00 R
◂ Pattern799.8608.0+10 barsTPSLEntry2011-022011-06
TextbookCorn futures March 17, 2011Daily chart7.2% in the expected direction after 10 bars2:1 trade: target hit, +2.00 R
◂ Pattern71.9951.05+10 barsTPSLEntry2020-01
Most recentBrent crude oil futures February 5, 2020Daily chart7.3% in the expected direction after 10 bars2:1 trade: invalidated before entry
◂ Pattern88.0063.65+10 barsTPSLEntry2000-10
TypicalCoffee futures November 20, 2000Daily chart6.0% against the expected direction after 10 bars2:1 trade: invalidated before entry

A clean reversal: Hang Seng, January 2025

From January 10 to 14, 2025, the Hang Seng index printed a morning star: a long bearish candle from 19,328.1 to 19,064.3, a small second candle that dipped to 18,671.5, and a bullish candle that closed at 19,219.8. The buy stop at the pattern high (19,370.5) filled at the open of January 16, at 19,454.9, with a stop at 18,671.5 and a 2:1 target at 21,021.8. Price reached the target on February 7, and the index was up 5.2% 10 days after the pattern.

A good start, then the stop: SPY, July 2008

From July 14 to 16, 2008, the SPY ETF printed a morning star with a high at 90.06 and a low at 86.13. The entry was triggered on July 17, and SPY was 3.7% higher 10 days after the pattern. It climbed to 94.37 on August 11, about 1.1 R in favor of the trade, then slid back and fell through the stop on September 15: a full 1 R loss. A good first move does not protect a trade whose stop stays where it was.

A canceled setup: Ciena, October 2006

From October 24 to 26, 2006, Ciena (CIEN) printed a morning star with a high at 24.90 and a low at 23.08. On November 1 the market broke the lower end, down to 22.14, before it reached the buy stop, so the setup was canceled before any trading took place. CIEN was 5.6% lower 10 days later.

Frequently asked questions

Is the morning star pattern bullish or bearish?

The morning star is a bullish signal: it appears after a downtrend and indicates that the decline may be ending. Its bearish equivalent is the evening star. In our data, the morning star's average excess return over the rest of the market was not statistically significant on any market or timeframe.

Does the pattern require a gap between candles?

In the classic definition, yes: the star gaps below the real body of the first candle. In the stock market, gaps between sessions are common. In crypto, which trades 24/7, and in forex, the open is near the previous close, so the gap is tiny or absent. Our bench keeps the rule, which is why it finds no morning star at all on crypto daily charts, against one every 2,604 bars on stock daily data.

What timeframes are best for this pattern?

No timeframe showed a confirmed edge. The weekly timeframe had the best raw results (49.5% of 2:1 targets hit on 218 trades), but random weeks on the same assets did 43.5%. On hourly crypto data, prices were higher 10 bars after the pattern 47.0% of the time, against 48.0% for random hours.

What invalidates a morning star formation?

A move below the bottom of the pattern, the low of the star in the textbook shape. In our tests, this happened before any entry in 21.1% of daily cases.

Does the morning star appear often, and is it reliable?

It is rare: the pattern consists of three precise candles, so it appears about once every 2,592 daily bars. And it is not reliable on its own in our tests. Its trading setup had a positive expectancy on almost every row of the full results with at least 30 trades (daily ETFs are the exception), but on daily charts across all markets the gap between its average result per trade and the same trade on random dates was too small to separate from chance.

Summary

  • The morning star is a three-candle bullish reversal pattern: a long bearish candle, a small star that gaps lower, and a long bullish candle that closes well into the first body, after a downtrend.
  • Its bearish counterpart is the evening star; a morning doji star has a doji in the middle.
  • On 3,039 daily occurrences, 55.3% were higher 10 days later, against 54.3% for random days on the same assets.
  • The 2:1 trade reached its target in 40.6% of 2,366 trades, against 34.2% for the same trade on random dates: a higher hit rate, but no clear edge in average result per trade.
  • The pattern is large, so stops are wide and trades last weeks; volume and the 200-day moving average changed the results only slightly.

If you trade the morning star, treat it as a location for a trade, not a reason for one. Define the stop below the low before entry, size the position on that distance, and keep the risk per position small, as in any trading plan.

Risk notice. This page is educational and is not investment advice. Positions in financial markets carry a risk of loss, all figures are before fees and slippage, and past results do not predict future ones.

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 (the Benjamini-Hochberg false discovery rate procedure), and the whole pipeline is checked on random-walk prices, where nothing can be predicted. The 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