Crypto Chart Patterns Compared

How to read this hub

This page compares pattern families side by side: who clears the expected direction more often, how outcomes differ by candle timeframe, and which study to open next. Fuel scores, feature bins, RSI/BTC segment lifts, and Spearman tables live on each pattern study — use the ranks below to pick one, then switch timeframes there.

Key results

Under a mutually exclusive first-threshold rule (±1.0× NATR within 20 candles), each snapshot is breakout, breakdown, or sideways — rates sum to 100%. Pooled rates set the baseline; the charts and tables below show how individual pattern families diverge from that baseline.

Pattern ranks

Compare families first. Click a bar or table row to open that pattern’s dedicated study (timeframes, Fuel, features, lifts, correlations).

Pattern studies

Open a row for timeframe controls, Fuel scores, feature bins, segment lifts, and within-pattern correlations. This hub only ranks families against each other.

Full leaderboard

Every pattern × timeframe group. Click a column header to sort; open a pattern name for the deep study.

Data & methodology

Full methods are summarized below. Expand for sampling, outcome definitions, and statistical procedures. Jump to abstract.

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).