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Research · Pattern studies · Triple Top

ChartDatabase Research · Chart pattern study

Triple Top Pattern

Timeframe

1h timeframe — 88 snapshots across 78 Binance USDT‑M futures markets — bearish bias. Results are not mixed with other candle intervals.

Abstract

Triple Top statistics on the 1h timeframe only (n=88). Timeframes are analyzed separately and never pooled — 15m, 1h, 4h, and 1d horizons are not interchangeable. Use the timeframe control under the title to switch. Exclusive breakout / breakdown / sideways: 11.36% / 84.09% / 4.55%.

Keywords Triple Top patternTriple Top breakoutTriple Top cryptohow to trade Triple TopTriple Top success ratecrypto chart patternschart pattern success rate

Key results (1h only)

Key findings
  1. Triple Top on 1h: n=88 snapshots across 78 coins — breakout 11.36%, breakdown 84.09%, sideways 4.55% (exclusive classes; not pooled with other timeframes).
  2. Expected-direction (bearish) hit rate on 1h: 84.09%.
  3. Mean max-up / max-down on 1h: 2.072% / -6.374% (MFE÷|MAE| ≈ 0.325); median 20-candle close return -3.253%.
Snapshots
88
Coins
78unique symbols
Hit rate
84.09%expected direction
Breakout
11.36%exclusive
Breakdown
84.09%exclusive
Sideways
4.55%neither
Median ret.
-3.253%
MFE ÷ |MAE|
0.325

Scope for this pattern

  • Exchange / market: Binance USD-M Futures (perpetual contracts).
  • Pattern end: For Triple Top, pattern end is the first neckline re-touch after the third extreme, within ±0.5× NATR(14). Forward 20-candle outcomes evaluate neckline breakout vs breaching the structural outer support floor or resistance ceiling.
  • Active timeframe: 1h only — other intervals (15m, 1h, 4h, 1d) are available via the control under the title and are never mixed into these figures.
  • Outcome horizon: next 20 candles on the selected timeframe. Headline KPIs use pattern-end snapshots: mutually exclusive breakout / breakdown / sideways vs 1.0× NATR(14). Fuel and RSI bins on trendline families also report Forming (still inside the lines).

Results (1h)

Return distribution

All figures below are for Triple Top on the 1h timeframe only (n=88). Timeframes are never pooled — a 15m candle horizon is not comparable to 1d. Mean return -3.212%, median -3.253%; exclusive breakout / breakdown / sideways 11.36% / 84.09% / 4.55%. Mean MFE / MAE 2.072% / -6.374%.

Figure 1. 20-candle close return (%) for Triple Top on 1h, clipped to ±16%.

Wick max-up / max-down over the same 20-candle window, expressed as NATR multiples. Sideways is not a spike at 0.

Figure 1b. 20-candle wick max-up (×NATR) on 1h.

Figure 1c. 20-candle wick max-down (×NATR).

Distribution statistics

  • Mean return: -3.212%
  • Median: -3.253% (P25 -5.466 · P75 -0.12)
  • Std. deviation: 4.094%
  • Win rate (ret > 0): 21.59%
  • Mean MFE / MAE: 2.072% / -6.374%
  • Median max-up / max-down (×NATR): 0.744 / -3.213
  • Sideways rate: 4.55% (pattern-end unresolved; not a zero-move class; see ×NATR histograms)
  • Both-cleared (pre-label): 25.0%

Fuel volume & momentum scores

Fuel volume and momentum scores below use only Triple Top snapshots on 1h. Zones match the live Fuel gauge (Dead Water / Organic Flow / The Powder Keg); each zone reports mean max-up / max-down over the next 20 1h candles.

Active timeframe: 1h — switch with the buttons under the pattern title.

Breakout Breakdown Sideways Forming

volume_score (n=88; forming + terminal snapshots)

Within Triple Top (1h), 88 snapshots with recorded Fuel volume score (closed-candle volume vs SMA20 at the live snapshot) are partitioned into Fuel gauge zones (Dead Water / Organic Flow / The Powder Keg). Exclusive breakout rates run from 10.00% in Dead Water (0.00–0.33) to 15.79% in The Powder Keg (0.67–1.00), a substantial difference of +5.79 percentage points. Breakdown rates shift from 80.00% to 78.95% (-1.05 percentage points), while sideways incidence moves from 10.00% to 5.26% (-4.74 percentage points). Forming (still inside the lines) moves from 0.00% to 0.00% (0.00 percentage points). Expected-direction hit rate moves from 80.00% in Dead Water to 78.95% in The Powder Keg (-1.05 percentage points; modest shift). Mean maximum favorable excursion is highest in Dead Water (2.745%), compared with 2.745% in Dead Water and 1.886% in The Powder Keg. The value histogram is unimodal around mid-range values (peak bin ≈ 15% of observed mass). Taken together, these contrasts speak to association strength rather than causal effect: conditioning on Fuel volume score (closed-candle volume vs SMA20 at the live snapshot) alone does not isolate a trading rule.

Dead Water0.00–0.33
n=20
BO 10.0% BD 80.0% SW 10.0% FM 0.0%
Organic Flow0.34–0.66
n=49
BO 10.2% BD 87.76% SW 2.04% FM 0.0%
The Powder Keg0.67–1.00
n=19
BO 15.79% BD 78.95% SW 5.26% FM 0.0%

Triple Top outcomes by Fuel volume score.

Empirical density of volume score for this timeframe (1st–99th percentile clip).

Distribution of Fuel volume score.

volume_score Fuel-zone stats (max-up / max-down).
Zone Range n Mean ↑ Mean ↓ BO % BD % SW % FM %
Dead Water 0.00–0.33 20 2.745 -6.597 10.0 80.0 10.0 0.0
Organic Flow 0.34–0.66 49 1.869 -6.428 10.2 87.76 2.04 0.0
The Powder Keg 0.67–1.00 19 1.886 -6.0 15.79 78.95 5.26 0.0

momentum_score (n=88; forming + terminal snapshots)

Within Triple Top (1h), 88 snapshots with recorded Fuel momentum score (RSI / ROC energy at the live snapshot, not direction) are partitioned into Fuel gauge zones (Dead Water / Organic Flow / The Powder Keg). Exclusive breakout rates run from 13.24% in Organic Flow (0.34–0.66) to 5.00% in The Powder Keg (0.67–1.00), a substantial difference of -8.24 percentage points. Breakdown rates shift from 82.35% to 90.00% (+7.65 percentage points), while sideways incidence moves from 4.41% to 5.00% (+0.59 percentage points). Forming (still inside the lines) moves from 0.00% to 0.00% (0.00 percentage points). Expected-direction hit rate moves from 82.35% in Organic Flow to 90.00% in The Powder Keg (+7.65 percentage points; substantial shift). Mean maximum favorable excursion is highest in The Powder Keg (2.364%), compared with 1.986% in Organic Flow and 2.364% in The Powder Keg. The value histogram is unimodal around mid-range values (peak bin ≈ 23% of observed mass). Taken together, these contrasts speak to association strength rather than causal effect: conditioning on Fuel momentum score (RSI / ROC energy at the live snapshot, not direction) alone does not isolate a trading rule.

Organic Flow0.34–0.66
n=68
BO 13.24% BD 82.35% SW 4.41% FM 0.0%
The Powder Keg0.67–1.00
n=20
BO 5.0% BD 90.0% SW 5.0% FM 0.0%

Triple Top outcomes by Fuel momentum score.

Empirical density of momentum score for this timeframe (1st–99th percentile clip).

Distribution of Fuel momentum score.

momentum_score Fuel-zone stats (max-up / max-down).
Zone Range n Mean ↑ Mean ↓ BO % BD % SW % FM %
Organic Flow 0.34–0.66 68 1.986 -6.544 13.24 82.35 4.41 0.0
The Powder Keg 0.67–1.00 20 2.364 -5.796 5.0 90.0 5.0 0.0

Feature distributions vs max-up / max-down

Feature bins below use only Triple Top snapshots on 1h. Each bin reports mean max-up (MFE) and mean max-down (MAE) over the next 20 1h candles.

Active timeframe: 1h — switch with the buttons under the pattern title.

Breakout Breakdown Sideways Forming

geom_height (n=88; last snapshot per formation)

Within Triple Top (1h), 88 snapshots with recorded pattern height (price span of the formation) are split into feature quartiles. Exclusive breakout rates run from 13.64% in the lowest quartile (Q1; -0.000978 – 0.00131) to 13.64% in the highest (Q4; 0.0372 – 91.1), a negligible difference of 0.00 percentage points. Breakdown rates shift from 77.27% to 77.27% (0.00 percentage points), while sideways incidence moves from 9.09% to 9.09% (0.00 percentage points). Expected-direction hit rate moves from 77.27% in Q1 to 77.27% in Q4 (0.00 percentage points; negligible shift). Mean maximum favorable excursion is highest in Q4 (2.553%), compared with 2.050% in Q1 and 2.553% in Q4. The value histogram is concentrated toward lower pattern height readings (peak bin ≈ 94% of mass), with a thinner right-hand tail. Taken together, these contrasts speak to association strength rather than causal effect: conditioning on pattern height (price span of the formation) alone does not isolate a trading rule.

Q1-0.000978 – 0.00131
n=22
BO 13.64% BD 77.27% SW 9.09%
Q20.00131 – 0.00663
n=22
BO 9.09% BD 90.91% SW 0.0%
Q30.00663 – 0.0372
n=22
BO 9.09% BD 90.91% SW 0.0%
Q40.0372 – 91.1
n=22
BO 13.64% BD 77.27% SW 9.09%

Triple Top outcomes by height.

The histogram shows the empirical density of height for this timeframe (1st–99th percentile clip where continuous).

Distribution of pattern height.

geom_height bin stats (max-up / max-down).
Bin Range n Mean ↑ Mean ↓ BO % BD % SW %
Q1 -0.000978 – 0.00131 22 2.05 -6.952 13.64 77.27 9.09
Q2 0.00131 – 0.00663 22 1.966 -6.018 9.09 90.91 0.0
Q3 0.00663 – 0.0372 22 1.717 -6.904 9.09 90.91 0.0
Q4 0.0372 – 91.1 22 2.553 -5.622 13.64 77.27 9.09

geom_width (n=88; last snapshot per formation)

Within Triple Top (1h), 88 snapshots with recorded pattern width (duration in candles) are split into feature quartiles. Exclusive breakout rates run from 4.55% in the lowest quartile (Q1; 26 – 34.5) to 14.29% in the highest (Q4; 54 – 158), a substantial difference of +9.74 percentage points. Breakdown rates shift from 95.45% to 76.19% (-19.26 percentage points), while sideways incidence moves from 0.00% to 9.52% (+9.52 percentage points). Expected-direction hit rate moves from 95.45% in Q1 to 76.19% in Q4 (-19.26 percentage points; substantial shift). Mean maximum favorable excursion is highest in Q3 (2.778%), compared with 1.352% in Q1 and 2.540% in Q4. The value histogram is concentrated toward lower pattern width readings (peak bin ≈ 25% of mass), with a thinner right-hand tail. Taken together, these contrasts speak to association strength rather than causal effect: conditioning on pattern width (duration in candles) alone does not isolate a trading rule.

Q126 – 34.5
n=22
BO 4.55% BD 95.45% SW 0.0%
Q234.5 – 41.5
n=22
BO 18.18% BD 81.82% SW 0.0%
Q341.5 – 54
n=23
BO 8.7% BD 82.61% SW 8.69%
Q454 – 158
n=21
BO 14.29% BD 76.19% SW 9.52%

Triple Top outcomes by width.

The histogram shows the empirical density of width for this timeframe (1st–99th percentile clip where continuous).

Distribution of pattern width.

geom_width bin stats (max-up / max-down).
Bin Range n Mean ↑ Mean ↓ BO % BD % SW %
Q1 26 – 34.5 22 1.352 -7.507 4.55 95.45 0.0
Q2 34.5 – 41.5 22 1.607 -5.632 18.18 81.82 0.0
Q3 41.5 – 54 23 2.778 -7.488 8.7 82.61 8.69
Q4 54 – 158 21 2.54 -4.745 14.29 76.19 9.52

btc_dist14_mean (n=88; forming + terminal snapshots)

Within Triple Top (1h), 88 snapshots with recorded BTC last-14 mean distance are split into feature quartiles. Exclusive breakout rates run from 13.64% in the lowest quartile (Q1; -2.26 – 0.0393) to 0.00% in the highest (Q4; 0.804 – 3.86), a substantial difference of -13.64 percentage points. Breakdown rates shift from 81.82% to 100.00% (+18.18 percentage points), while sideways incidence moves from 4.54% to 0.00% (-4.54 percentage points). Forming (still inside the lines) moves from 0.00% to 0.00% (0.00 percentage points). Expected-direction hit rate moves from 81.82% in Q1 to 100.00% in Q4 (+18.18 percentage points; substantial shift). Mean maximum favorable excursion is highest in Q2 (2.992%), compared with 1.793% in Q1 and 1.865% in Q4. The value histogram is unimodal around mid-range values (peak bin ≈ 26% of observed mass). Taken together, these contrasts speak to association strength rather than causal effect: conditioning on BTC last-14 mean distance alone does not isolate a trading rule.

Q1-2.26 – 0.0393
n=22
BO 13.64% BD 81.82% SW 4.54% FM 0.0%
Q20.0393 – 0.489
n=22
BO 22.73% BD 68.18% SW 9.09% FM 0.0%
Q30.489 – 0.804
n=22
BO 9.09% BD 86.36% SW 4.55% FM 0.0%
Q40.804 – 3.86
n=22
BO 0.0% BD 100.0% SW 0.0% FM 0.0%

Triple Top outcomes by btc mean.

The histogram shows the empirical density of btc mean for this timeframe (1st–99th percentile clip where continuous).

Distribution of BTC last-14 mean distance.

btc_dist14_mean bin stats (max-up / max-down).
Bin Range n Mean ↑ Mean ↓ BO % BD % SW % FM %
Q1 -2.26 – 0.0393 22 1.793 -6.201 13.64 81.82 4.54 0.0
Q2 0.0393 – 0.489 22 2.992 -4.795 22.73 68.18 9.09 0.0
Q3 0.489 – 0.804 22 1.637 -6.426 9.09 86.36 4.55 0.0
Q4 0.804 – 3.86 22 1.865 -8.074 0.0 100.0 0.0 0.0

current_scale_number (n=88; forming + terminal snapshots)

Within Triple Top (1h), 88 snapshots with recorded position in the live channel (0 at support, 1 at resistance, >1 breakout) are split into feature quartiles. Exclusive breakout rates run from 9.09% in the lowest quartile (Q1; -0.4 – -0.0697) to 18.18% in the highest (Q4; 0.153 – 0.628), a substantial difference of +9.09 percentage points. Breakdown rates shift from 90.91% to 72.73% (-18.18 percentage points), while sideways incidence moves from 0.00% to 9.09% (+9.09 percentage points). Forming (still inside the lines) moves from 0.00% to 0.00% (0.00 percentage points). Expected-direction hit rate moves from 90.91% in Q1 to 72.73% in Q4 (-18.18 percentage points; substantial shift). Mean maximum favorable excursion is highest in Q2 (2.798%), compared with 2.139% in Q1 and 1.496% in Q4. The value histogram is unimodal around mid-range values (peak bin ≈ 16% of observed mass). Taken together, these contrasts speak to association strength rather than causal effect: conditioning on position in the live channel (0 at support, 1 at resistance, >1 breakout) alone does not isolate a trading rule.

Q1-0.4 – -0.0697
n=22
BO 9.09% BD 90.91% SW 0.0% FM 0.0%
Q2-0.0697 – 0.0422
n=22
BO 4.55% BD 95.45% SW 0.0% FM 0.0%
Q30.0422 – 0.153
n=22
BO 13.64% BD 77.27% SW 9.09% FM 0.0%
Q40.153 – 0.628
n=22
BO 18.18% BD 72.73% SW 9.09% FM 0.0%

Triple Top outcomes by Pattern scale.

The histogram shows the empirical density of Pattern scale for this timeframe (1st–99th percentile clip where continuous).

Distribution of position in the live channel.

current_scale_number bin stats (max-up / max-down).
Bin Range n Mean ↑ Mean ↓ BO % BD % SW % FM %
Q1 -0.4 – -0.0697 22 2.139 -6.225 9.09 90.91 0.0 0.0
Q2 -0.0697 – 0.0422 22 2.798 -7.599 4.55 95.45 0.0 0.0
Q3 0.0422 – 0.153 22 1.854 -5.23 13.64 77.27 9.09 0.0
Q4 0.153 – 0.628 22 1.496 -6.443 18.18 72.73 9.09 0.0

Timeframe comparison

Side-by-side comparison across timeframes for Triple Top. Each column is an independent sample — use it to contrast horizons, not as a pooled average.

Table. Triple Top comparative outcomes by timeframe.
TF n Mean ↑ Mean ↓ ↑/|↓| Hit % BO % BD % SW %
15m 14 1.466 -3.39 0.432 85.71 7.14 85.71 7.15
1h 88 2.072 -6.374 0.325 84.09 11.36 84.09 4.55
4h 16 4.37 -12.912 0.338 81.25 12.5 81.25 6.25
1d 1 1.793 -20.66 0.087 100.0 0.0 100.0 0.0

Feature correlations

Within Triple Top on 1h, the strongest absolute Spearman correlate of breakout is btc_dist14_mean (ρ = -0.1579). Ranks use pattern geometry, momentum, and BTC-context features. * p<0.05 · ** p<0.01 · *** p<0.001.

vs Breakout success

Table 1. Top breakout correlates.
Featureρpn
btc_dist14_mean -0.1579 0.141706 88
rsi_14 0.1269 0.238868 88
current_scale_number 0.1128 0.295533 88
momentum_score -0.1107 0.304623 88
volume_score 0.0888 0.410569 88
geom_width 0.0649 0.54806 88
geom_height -0.0507 0.638695 88

vs Breakdown success

Table 2. Top breakdown correlates.
Featureρpn
current_scale_number -0.1859 0.082882 88
btc_dist14_mean 0.1798 0.093604 88
geom_width -0.175 0.102857 88
momentum_score 0.1107 0.304459 88
rsi_14 -0.1003 0.352513 88
geom_height 0.0391 0.71732 88
volume_score -0.0122 0.909938 88
Table 3. Top correlates of 20-candle close return.
Featureρpn
geom_width 0.2586 0.014976 88
geom_height 0.1649 0.124722 88
current_scale_number -0.0892 0.408308 88
btc_dist14_mean -0.0575 0.594865 88
rsi_14 -0.0566 0.60064 88
volume_score 0.036 0.739184 88
momentum_score 0.0285 0.792087 88
Table 3b. Top correlates of 20-candle max-up (MFE).
Featureρpn
geom_width 0.2523 0.0177 88
current_scale_number -0.191 0.074597 88
momentum_score 0.1508 0.160693 88
geom_height 0.1159 0.282233 88
rsi_14 -0.0852 0.429755 88
btc_dist14_mean 0.0036 0.973166 88
volume_score 0.0013 0.990579 88
Table 3c. Top correlates of 20-candle max-down (MAE).
Featureρpn
btc_dist14_mean -0.1996 0.06229 88
geom_width 0.1954 0.068033 88
geom_height 0.1069 0.321691 88
momentum_score -0.0947 0.380314 88
current_scale_number 0.093 0.388538 88
rsi_14 -0.079 0.46437 88
volume_score 0.0669 0.535734 88

Outcome mix by timeframe

Exclusive breakout / breakdown / sideways rates by candle timeframe (hover for exact values).

Figure 2. Stacked exclusive outcome rates by timeframe.

Timeframe breakdown

Table 6. Triple Top split by timeframe.
TF n Coins Hit % BO % BD % SW % Med % Mean %
15m 14 14 85.71 7.14 85.71 7.15 -1.995 -2.039
1h 88 78 84.09 11.36 84.09 4.55 -3.253 -3.212
4h 16 16 81.25 12.5 81.25 6.25 -6.573 -4.779
1d 1 1 100.0 0.0 100.0 0.0 -14.342 -14.342

Methods note

Shared methodology (expand)

Pattern end for this study: For Triple Top, pattern end is the first neckline re-touch after the third extreme, within ±0.5× NATR(14). Forward 20-candle outcomes evaluate neckline breakout vs breaching the structural outer support floor or resistance ceiling.

Outcomes use mutually exclusive classes over the next 20 candles. Headline KPIs and geometry bins are pattern-end: breakout, breakdown, or sideways vs 1.0× NATR(14). On trendline families, Fuel / RSI bins add Forming (still inside the lines). Correlations are Spearman with two-sided p-values. See the research hub methods for universe, how every pattern family defines pattern end, dedupe keys, and limitations.

Exclusive class: upside clears +1× natr_14 within 20 candles before downside.
Exclusive class: downside clears −1× natr_14 within 20 candles before upside.
Pattern-end (terminal) unresolved class: neither +1× nor −1× natr_14 cleared within 20 candles after the breached candle. Headline KPIs, ranks, and geometry bins use this sample; Forming is not in that formula. Sideways is not a zero-move class; typical wick travel inside the bands is reported as ×NATR max-up / max-down.
Trendline families only, and only on non-terminal snapshots still inside the lines: neither side tagged within 20 candles. Age-balanced Fuel / RSI / point-in-time bins add Forming so four exclusive classes sum to 100%. Forming-only trees (live still-inside matches) use breakout + breakdown + forming = 100%.
$$\mathrm{Sideways}\iff\text{terminal and no }\pm 1.0\times\mathrm{NATR}\text{ tag within }20\text{ candles}$$

Labels use ground-truth path outcomes (outcome_label / target_first_hit from full kline OHLC path). Trendline families evaluate confirmed candle closes against projected support/resistance bands. Unresolved non-terminal trendline snapshots are Forming; unresolved terminal snapshots are Sideways. Double/triple bottoms require breaking the bottom support floor for breakdown. Head & shoulders evaluate from neckline confirmation. Same-bar dual clears resolve via open proximity, then candle body polarity, then return sign. Pattern-end headline rates: breakout + breakdown + sideways = 100%. Forming+terminal Fuel/RSI bins: breakout + breakdown + sideways + forming = 100%.

Limitations & disclosures

  1. This is a historical, in-sample statistical study — not a forward-tested trading strategy. It excludes exchange fees, funding rates, slippage, and execution timing, all of which affect real trading outcomes. A fixed temporal holdout split is reported in methodology for transparency; thresholds are not retuned on the holdout window.
  2. The dataset covers Binance USD-M perpetual futures only. Results may not generalize to spot markets, other exchanges, or lower-liquidity assets with different microstructure.
  3. Confidence and recency filters were switched off while building the dataset, so figures reflect the detector’s raw geometric/RSI trigger rate — not the filtered, higher-conviction signals surfaced live to subscribers.
  4. Exclusive breakout / breakdown / sideways labels use the first ±1.0× NATR threshold (or pattern-specific structural boundary) touched in candle order over the 20-candle forward horizon (target_first_hit / outcome_label). Trendline families evaluate confirmed candle closes against projected support/resistance bands. Double/triple bottoms require breaking the bottom support floor for breakdown. Head & shoulders evaluate from neckline confirmation. Same-bar dual clears resolve via open gap / nearer threshold from open, then candle body direction.
  5. Overlapping detections were deduplicated on formation start (longest span kept), but different pattern families can still fire on the same underlying move, so correlated market regimes (e.g. one broad rally) can inflate sample counts across several pattern types simultaneously.
  6. Spearman tables use Benjamini–Hochberg FDR q-values; stars also require |ρ| ≥ 0.05. Large samples can still make tiny associations look noteworthy without being economically meaningful. Primary correlations and lifts are within a single timeframe; multi-TF pooled tables are exploratory only.

Glossary

Bull flag / bullish flag
Common search names for the bullish flag chart pattern: a sharp advance (the pole) followed by a downward-sloping or rectangular consolidation. See the Bullish Flag pattern study for breakout statistics.
Head and shoulders pattern
A three-peak reversal pattern (left shoulder, head, right shoulder) with a neckline. Traders search this as “head and shoulders crypto” as well as the full name. See the Head and Shoulders study for exclusive breakdown rates.
Falling wedge bullish
A common query for the falling wedge: converging down-sloping trendlines often treated as a bullish continuation or reversal. See the Falling Wedge study.
Cup and handle pattern
A rounded-bottom continuation pattern with a shallow handle. Also searched as “cup and handle crypto”. See the Cup and Handle study for breakout rates.
Fuel gauge zones
Fixed partitions of Fuel component scores: Dead Water (0.00–0.33), Organic Flow (0.34–0.66), and The Powder Keg (0.67–1.00). Used for Fuel volume/momentum outcome charts on research pages.
NATR(14) & Formation Avg NATR
Normalized Average True Range over 14 periods — average candle range as a percentage of price. In this research, formation average NATR (natr_pattern_avg) is measured across the full pattern span to size breakout/breakdown thresholds (1.0× NATR) relative to market volatility rather than fixed percentages.
\[\mathrm{ATR}_{14}=\mathrm{AverageTrueRange}(H,L,C,14)\]
\[\mathrm{NATR}_{14}=\dfrac{\mathrm{ATR}_{14}}{C_{t}}\times 100\]
\[\mathrm{NATR}_{\mathrm{avg}}=\dfrac{1}{N}\sum_{i=\mathrm{start}}^{\mathrm{end}}\mathrm{NATR}_{14,i}\]
Breakout / breakdown / sideways
Mutually exclusive outcome classes over the 20-candle forward horizon. Headline KPIs, ranks, and pattern-end geometry bins use breakout, breakdown, and sideways (sum to 100%). Breakout means the +1.0× NATR(14) upside threshold (or resistance trendline/neckline) is touched first; breakdown is the downside class; sideways on those samples means the pattern-end candle already tagged a line but neither ±1.0× NATR printed in the next 20 candles. Sideways is not a zero-move class: typical inside-band wick travel is the sideways ×NATR max-up / max-down. Trendline families evaluate confirmed candle closes.
\[\mathrm{Sideways}\iff\text{terminal and no }\pm 1.0\times\mathrm{NATR}\text{ tag within }20\text{ candles}\]
Forming (trendline still inside)
Fourth exclusive class on trendline families (triangles, wedges, channels, flags, pennants) for snapshots that are not the last candle of the formation: price is still between the lines and neither side tagged in the next 20 candles. Age-balanced Fuel / RSI / point-in-time bins report breakout + breakdown + sideways + forming = 100%. Forming-only trees (live still-inside matches) use breakout + breakdown + forming = 100%. Non-trendline patterns have forming_rate 0.
\[\mathrm{Forming}\iff\text{still inside trendlines and no }\pm 1.0\times\mathrm{NATR}\text{ tag within }20\text{ candles}\]
Both-cleared rate
Share of windows where both +1.0× and −1.0× NATR thresholds were cleared within the 20-candle forward horizon before the exclusive label was assigned. High both-cleared rates indicate volatile two-sided windows.
Expected-direction hit rate
For patterns with a directional bias (e.g. bullish patterns expect a breakout, bearish patterns expect a breakdown), this is the exclusive-class rate for that expected side only. Neutral patterns report breakout and breakdown separately.
Spearman ρ (rho)
A rank correlation coefficient between −1 and 1 that measures monotonic association without assuming a linear relationship or normal distribution — appropriate for skewed, fat-tailed return data. Tables emphasize pattern geometry, momentum, and BTC-context features.
p-value, q-value & significance stars
Two-sided Spearman p-values are adjusted with Benjamini–Hochberg FDR (q-values). Stars require q < 0.05 and |ρ| ≥ 0.05 so large-n micro correlations are not marked significant. Always read stars with effect size.
Wilson 95% CI
Outcome rate fields ending in _ci95 are Wilson score intervals for the binomial point estimate. They quantify sampling uncertainty on rates, not trading risk or costs.
Null baseline / temporal holdout
Null baseline shuffles exclusive outcomes within each timeframe to show a chance expected-direction hit band. Temporal holdout compares rates before vs on/after a fixed cutoff (thresholds not retuned on holdout).
MFE / MAE
Maximum Favorable Excursion and Maximum Adverse Excursion — the best and worst price movement recorded within the forward horizon, expressed as a percentage of the snapshot close. MFE÷|MAE| summarizes average upside versus downside excursion magnitude.
\[\mathrm{MFE}=\mathrm{max\_up}_{20c}=\dfrac{\max(H_{t+1},\ldots,H_{t+20})-C_{t}}{C_{t}}\times 100\]
\[\mathrm{MAE}=\mathrm{max\_down}_{20c}=\dfrac{\min(L_{t+1},\ldots,L_{t+20})-C_{t}}{C_{t}}\times 100\]
Timeframe-specific feature bins
On each pattern study, feature distributions are computed separately for 15m, 1h, 4h, and 1d. Use the timeframe control to switch; never treat pooled multi-TF histograms as interchangeable because candle horizons differ.
Feature quartile bins
Numeric features that are not Fuel, RSI, or σ-banded (e.g. slopes, current_scale_number, btc_dist14_mean) are split into quartiles. Each bin reports exclusive breakout, breakdown, and sideways rates plus mean MFE.
Feature typical / elevated bands
geom_width and head-and-shoulders symmetry use mean ± σ bands computed separately per pattern and timeframe: below typical (< μ−σ), typical (μ±σ), elevated (μ+σ to μ+2σ), and extreme (> μ+2σ). Pattern height and extension age use the same labels after a log1p transform so right-tailed size features are not dominated by outliers. Bins are never pooled across timeframes.
Pattern end (snapshot candle)
The single candle where features (RSI, Fuel, BTC context) and the forward 20-candle outcome window are measured. Trendline families use the last close still inside ±0.5× NATR of the projected channel; doubles/triples use a neckline re-touch within ±0.5× NATR; H&S uses the neckline break; cup & handle uses the rim touch after the handle; RSI divergences use the second price extreme. See Data & methodology for the full family list.
BTC regime (btc_dist14_median)
Terciles of BTC last-14 median distance at the live snapshot (btc_weak / btc_mid / btc_strong). Used as a simple proxy for BTC-relative market regime when slicing outcome rates (not in correlation ranks).
volume_score (Fuel volume)
Closed-candle volume vs a 20-period SMA, mapped to 0–1 with a small trend adjustment. Same Fuel Index volume component as the live gauge; open (forming) candle is not used.
\[\mathrm{volume\_ratio}=\dfrac{V_{t}}{\mathrm{SMA}(V,20)}\]
Piecewise base score from volume_ratio:
\[\mathrm{ratio}<0.8:\ \mathrm{base}=\dfrac{\mathrm{ratio}}{0.8}\times 0.25\]
\[0.8\le\mathrm{ratio}\le 1.5:\ \mathrm{base}=0.3+\dfrac{\mathrm{ratio}-0.8}{0.7}\times 0.3\]
\[\mathrm{ratio}>1.5:\ \mathrm{base}=0.6+\min\!\bigl(1,\tfrac{\mathrm{ratio}-1.5}{1.5}\bigr)\times 0.4\]
\[\mathrm{trend\_adj}=\mathrm{clamp}(s_{V}\times 0.15,-0.05,+0.05)\]
\[\mathrm{volume\_score}=\mathrm{clamp}(\mathrm{base}+\mathrm{trend\_adj},\,0,\,1)\]
momentum_score (Fuel momentum)
Direction-agnostic energy score from RSI(14), 3-bar RSI change, and timeframe-specific ROC. Same Fuel Index momentum component as the live gauge.
\[\mathrm{ROC}=\dfrac{C_{t}-C_{t-N}}{C_{t-N}}\]
\[\Delta\mathrm{RSI}_{3}=\mathrm{RSI}_{t}-\mathrm{RSI}_{t-3}\]
ROC lookback N by timeframe: 15m→8, 1h→5, 4h→3, 1d→2.
\[\mathrm{momentum\_score}\in[0,1]\ \text{(RSI/ROC regime map)}\]
geom_height
Pattern height as a percentage of price at detection. Exact definition depends on pattern family (trendline channel vs double/triple vs cup vs H&S).
Trendline patterns (wedges / triangles / channels):
\[h_{\mathrm{start}}=R_{\mathrm{start}}-S_{\mathrm{start}}\]
\[\mathrm{geom\_height}=\dfrac{h_{\mathrm{start}}}{S_{\mathrm{start}}}\times 100\]
Double bottom / double top:
\[\mathrm{geom\_height}^{\mathrm{DB}}=\dfrac{N-\min(B_{1},B_{2})}{N}\times 100\]
\[\mathrm{geom\_height}^{\mathrm{DT}}=\dfrac{\max(T_{1},T_{2})-N}{N}\times 100\]
Head & shoulders: absolute head-to-neckline height on the formation.
\[\mathrm{geom\_height}^{\mathrm{HS}}=\lvert h_{\mathrm{head}}\rvert\]
geom_width
Pattern duration in candles from formation start index to end index.
\[\mathrm{geom\_width}=i_{\mathrm{end}}-i_{\mathrm{start}}\]
btc_dist14_mean
Mean of BTC last-14 percentage distances (feature_builder dist14_mean on BTC).
\[\delta_{i}=\dfrac{C^{\mathrm{BTC}}_{t-i}-C^{\mathrm{BTC}}_{t}}{C^{\mathrm{BTC}}_{t}}\times 100,\quad i=1,\ldots,14\]
\[\mathrm{btc\_dist14\_mean}=\dfrac{1}{14}\sum_{i=1}^{14}\delta_{i}\]
current_scale_number
Position in the live channel (0 at support, 1 at resistance, >1 breakout)

Frequently asked questions

How to trade Triple Top using this crypto chart pattern study?

This page reports historical Triple Top breakout, breakdown, and sideways rates on Binance USD-M futures. Use the rates, typical travel, and timeframe tables as educational context — not a live trade signal.

Do Triple Top chart patterns work?

Triple Top was evaluated on 119 deduplicated snapshots across 102 Binance USD-M futures symbols. Exclusive outcomes below show how often the pattern broke out, broke down, or stayed sideways — not a guarantee that any single setup will follow the average.

What is the sample size for Triple Top?

Triple Top was evaluated on 119 deduplicated snapshots across 102 Binance USD-M futures symbols.

How is the pattern end candle chosen for Triple Top?

For Triple Top, pattern end is the first neckline re-touch after the third extreme, within ±0.5× NATR(14). Forward 20-candle outcomes evaluate neckline breakout vs breaching the structural outer support floor or resistance ceiling.

Triple Top breakout rate: how often does Triple Top break out, break down, or go sideways?

Under a mutually exclusive ±1× NATR / 20-candle classification, breakout was 10.92%, breakdown 84.03%, and sideways 5.05%; expected-direction hit rate was 84.03%.

Which timeframe works best for Triple Top in this study?

Among timeframes present, 1d had the highest expected-direction hit rate at 100.0% (n=1).

What feature correlates most with Triple Top breakouts?

Within Triple Top only, the strongest Spearman correlate of breakout success was btc_dist14_mean (ρ=-0.1579, n=88). Effect sizes remain modest.

Is this financial advice?

No. These are educational historical statistics only. Past pattern outcomes do not guarantee future results.

Watch Triple Top live

ChartDatabase scans this pattern across 500+ Binance futures pairs with alerts.

How to cite this study

ChartDatabase Research Team (2026). “Triple Top: Breakout & Breakdown Statistics on Binance Futures (n=119).” In What Actually Drives Crypto Chart Pattern Breakouts? ChartDatabase. https://chartdatabase.com/research/triple_top/