챈 베이치 바텀 Complete Guide
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.
Identification Rules
- The pattern must contain at least two distinct downward segments separated by a 'Zhongshu' (a consolidation zone with at least 3 overlapping bars).
- The second downward segment (the exit segment) must reach a price level lower than the first downward segment (the entry segment).
- The momentum of the second segment, measured by MACD histogram area or slope, must be lower than that of the first segment.
- 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
Parts of this page (FAQ, introductions) are AI-assisted. Core data and statistics are algorithmically computed. All pattern definitions are human-reviewed.
면책 조항: 이 페이지는 공개 시장 데이터와 알고리즘 기반 기술적 분석에 기반합니다. 투자 조언을 구성하지 않습니다.
Data source: EODHD · © 2026 KlineVision AI