Indicator Lab · CDL PATTERN · Candle structure
Candlestick Patterns
Classifies selected candlestick patterns using bodies, shadows and their arrangement.
BTCUSDC · 1h · latest 30 complete days · shared snapshot · no account required
Does this completed candle sequence meet the geometric conditions of the selected pattern?
Classifies selected candlestick patterns using bodies, shadows and their arrangement.
One dataset, the same parameters and the same candle for application and explanation.
BTCUSDC · confirmed hourly candles
Snapshot retrieved: 11 Oct 2026, 15:52 UTC · stored snapshot · background refresh scheduled · age when opened: 3,135.7 min
11 Sept 2026, 15:00 — 11 Oct 2026, 15:00 UTC · 720 evaluation candles · 3000 earlier candles for warm-up only. Your opened snapshot stays fixed. A visit can refresh a stale cache in the background for later visitors; fetching fresh is not a tick stream.
Parameters and precise application
Four patterns are checked against original code and the native reference. Another 57 TA-Lib patterns remain blocked because their browser module initialization is missing. Codes are not probabilities.
Measurement and diagnosis · no trading direction
Inspect the actual value at each confirmed candle. This analysis produces no buy or sell orders.
Preparing the calculation module. The shared market snapshot is already available.
Calculation and interpretation of the same candle
A match describes the pattern conditions. Its direction is a classification, not an executed trading action.
Categorical OHLC pattern recognition by the selected TA-Lib CDL function
Four verified TA-Lib patterns without CandleSettings dependencies; another 57 remain blocked in this browser module. Output 0=no pattern, ±80/±100/±200 are categorical codes, not probabilities or universal bullish/bearish forecasts.
Pattern matches provide no success probability; the definition, selection and candle confirmation must be explicit.
Checked sources and reproducibility
- TA-Lib · CDLXSIDEGAP3METHODS
Setting-independent OHLC pattern definition; categorical code, not a calibrated probability. · checked 2026-10-11
- TA-Lib · CDLHIKKAKE
Setting-independent OHLC pattern definition; categorical code, not a calibrated probability. · checked 2026-10-11
- TA-Lib · CDLENGULFING
Setting-independent OHLC pattern definition; categorical code, not a calibrated probability. · checked 2026-10-11
- TA-Lib · CDL3OUTSIDE
Setting-independent OHLC pattern definition; categorical code, not a calibrated probability. · checked 2026-10-11
- pandas-ta 0.4.71b0 · pandas_ta/candle/cdl_pattern.py
Verified original file from the versioned library; the implemented convention and deliberate differences accompany the formula. · checked 2026-10-11
- The Probability of Backtest Overfitting
Why selection across many historical trials can produce misleading results. This tool does not estimate PBO or claim out-of-sample profitability. · checked 2026-10-11
Data source, versions and hash
- Market data source
- https://data-api.binance.vision/api/v3/klines?symbol=BTCUSDC&interval=1h&startTime=1778338800000&endTime=1791730799999
- Specification
- indicator-library-1.0.0
- Execution model
- signal-simulation-1.0.0
- Data hash
- 42ac75e03e017bcac023d319dabb0928e0562fda0e51f4bfa5549ac50e3e8be4
- Disclosed candles including warm-up
- 3720
The sources support definitions and methodological limits. They do not establish profit for this specific BTCUSDC rule. This analysis is descriptive; parameter trials on the same history are not independent out-of-sample evidence. Parity with a deployed unCoded engine is not claimed.