Bearish Engulfing
Install and import#
npm install fintech-algorithmsimport { bearishEngulfing } from "fintech-algorithms/price-action-and-candlesticks/two-candle-patterns/bearish-engulfing";Signature#
bearishEngulfing(inputs)Evaluates two candles against explicit bearish-engulfing geometry, scale, and uptrend context conventions.
Parameters#
| Name | Type | Notes |
|---|---|---|
inputs | { first: { open: number; high: number; low: number; close: number }; second: { open: number; high: number; low: number; close: number }; prior_bodies: number[]; prior_ranges: number[]; trend_context: string; tick_size: number; price_tolerance_ticks: number } | Record containing first, second, prior body/range history, context, tick size, and price tolerance. |
Returns#
{ topic_id, pattern, matched, state, direction, trend_context, required_context, body, upper_shadow, lower_shadow, range, body_scale, range_scale, history_count, geometry_score, checks, failed_checks, first_direction, second_direction, first_body, second_body, first_body_low?, first_body_high?, second_body_low?, second_body_high?, first_high?, second_high?, first_low?, second_low?, midpoint?, price_tolerance }
One pattern record with causal geometry diagnostics. state is warmup, wrong-context, matched, or not-matched; detailed price fields are absent during warmup.
Warm-up#
The first 5 prior observations positions are state: warmup. The detector returns one readiness record before five prior body/range observations are available; it does not emit a positional null prefix.
Errors#
- When candle, history, context, tick-size, or tolerance input violates the data contract — throws
Complexity: time ,
space .
Worked example#
executed Captured by running this function on the input its own test provides. Real output of real code — but not asserted against a published figure.
Input#
{
"first": {
"open": 102,
"high": 105.5,
"low": 101.5,
"close": 105
},
"second": {
"open": 105.5,
"high": 106,
"low": 101,
"close": 101.5
},
"prior_bodies": [2, 2.2, 1.8, 2.1, 1.9, 2],
"prior_ranges": [5, 5, 5, 5, 5, 5],
"trend_context": "uptrend",
"tick_size": 0.1,
"price_tolerance_ticks": 2
}Call#
bearishEngulfing(inputs)Returns#
object with 31 fields: topic_id, pattern, matched, state, direction, trend_context, required_context, body, …
{
"topic_id": "D06-F03-A02",
"pattern": "Bearish Engulfing",
"matched": true,
"state": "matched",
"direction": "bearish",
"trend_context": "uptrend",
"required_context": "uptrend",
"body": 4,
"upper_shadow": 0.5,
"lower_shadow": 0.5,
"range": 5,
"body_scale": 2,
"range_scale": 5,
"history_count": 10
}Showing 14 of 31 fields.
Other exports#
This module also exports
calculate, shadowToBodyRatio, gapClassification, trendContextFilter, doji, dragonflyDoji, gravestoneDoji, marubozu, spinningTop, hammer, hangingMan, invertedHammer, shootingStar, bullishEngulfing, bullishHarami, bearishHarami, piercingLine, darkCloudCover, tweezerTop, tweezerBottom. Every module additionally exports run as an alias of its
primary function, and a meta object carrying its catalog id, domain, family,
shape and article URL.
Diagrams#
How it works#
This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.
References#
- Japanese Candlestick Charting Techniques, Second Edition — Steve Nison
- Technical Insights — Candles in Market Context — CMT Association
- Candlestick Settings — TA-Lib project
- Bearish Engulfing recognizer — TA-Lib project
- Evidence boundary