챈 베이치 바텀 Complete Guide

reversalbullish20 bars

What is 챈 베이치 바텀?

찬 베이치 바닥형은 강세 편향을 갖는 반전 패턴입니다. 이 패턴이 형성되려면 최소 20개의 봉이 필요합니다. 이 패턴은 기술적 분석에서 널리 알려져 있으며 모든 시장 및 시간대에서 찾아볼 수 있습니다.

챈 베이치 바텀 pattern illustration

Identification Rules

  1. The pattern must contain at least two distinct downward segments separated by a 'Zhongshu' (a consolidation zone with at least 3 overlapping bars).
  2. The second downward segment (the exit segment) must reach a price level lower than the first downward segment (the entry segment).
  3. The momentum of the second segment, measured by MACD histogram area or slope, must be lower than that of the first segment.
  4. A minimum of 20 bars is required to ensure the structural complexity of the central hub and the divergence segments are valid.

References

  • Thomas N. Bulkowski (2005). Encyclopedia of Chart Patterns.
  • Steve Nison (2001). Japanese Candlestick Charting Techniques.

FAQ

How does Chan Beichi differ from standard MACD divergence?

Standard divergence only compares price and indicator peaks. Chan Beichi requires a 'Zhongshu' (structural hub) to exist between the segments, ensuring the comparison is between two trend movements of the same scale.

이 패턴의 역사적 신뢰도는 어느 정도입니까?

While specific 'Chan' stats aren't in Western literature, similar exhaustion patterns like Bulkowski's 'Three Falling Valleys' have a failure rate of around 15% in bull markets when confirmed by volume.

거래량이 망치형 바닥을 확인하는 데 중요한 역할을 합니까?

Yes. A valid Beichi Bottom usually shows significantly lower volume on the second downward segment compared to the first, indicating a lack of selling interest at new lows.

찬 베이치 바닥형을 거래하기에 가장 적합한 시간 프레임은 무엇입니까?

It is fractal and works on all timeframes, but it is most reliable on 1-hour or daily charts where the 20-bar minimum structure is less prone to market noise.

When is the pattern considered failed?

The pattern fails if the price continues to drop sharply without a reversal, or if the 'Zhongshu' expands into a larger consolidation rather than leading to an upward breakout.

More Analysis

Reviewed by KlineVision Research Team, CFA Charterholder, 10+ years quantitative research· 2026년 4월 23일

Parts of this page (FAQ, introductions) are AI-assisted. Core data and statistics are algorithmically computed. All pattern definitions are human-reviewed.

Data source: EODHD · Last updated: 2026년 4월 23일

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Data source: EODHD · © 2026 KlineVision AI