ChanTheory

Chan Theory Indicator

Functional Features Description

• K-line Merging Processing: Merge K-lines according to their direction and support visual display of the merging process.
  
• Fractal Recognition: Real-time recognition of top and bottom fractals.
  
• Stroke Recognition: Alternately connect top and bottom fractals to draw strokes, supporting three modes: strict strokes, standard/old strokes, and simplified/new strokes. Support filtering noise fractals through different fractal constraints, adding constraints to strokes to improve their stability.
  
• Segment Recognition: Identify segments by extension + feature sequence fractals. Implement two scenarios for feature sequences: (1) No gap in the feature sequence before and after the turning point; (2) A gap in the feature sequence before and after the turning point.
  
• Trend Recognition: Treat segments as strokes to identify trends based on the principle that strokes form segments. Note: This complies with the same-level decomposition and associative law, which can prevent unlimited extension of central zones but may cause a delay in central zone recognition when a trend has not yet formed.
  
• Central Zone Recognition: Identify stroke central zones within segments and segment central zones within trends. Note: There is a recognition delay issue.
  
• MACD Area Calculation: For upward segments, calculate the MACD area above the zero line within the scope; for downward segments, calculate the MACD area below the zero line within the scope.
  
• Momentum Calculation: Calculate momentum based on "time, price, and volume" to evaluate segment strength, which can be used as a reference alongside MACD area to facilitate divergence judgment. Note: Sometimes they may not be completely consistent, and actual situations should be considered.
  
• Trading Point Recognition: Not implemented.
  
• Alerts and Strategies: Not implemented.
  

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缠论指标

功能点说明

• K线合并处理：按照K线方向对K线进行合并处理，支持可视化方式显示合并过程。
  
• 分型识别：实时识别顶分型和底分型。
  
• 笔识别：交替连接顶分型和底分型，绘制笔，并支持严笔、标准笔/老笔、简笔/新笔三中模式。支持通过不同的分型约束来过滤噪音分型，增加对笔的约束，提升笔的稳定性。
  
• 线段识别：按照延伸+特征序列分型的方式识别线段。实现特征序列的两种情况：（1）转折点前后不存在特征序列缺口；（2）转折点前后存在特征序列缺口。
  
• 趋势识别：按照笔成线段的方式，将线段当成笔，识别趋势。说明：这符合同级别分解和结合律，可以避免中枢无限制的延伸，但也会导致未成趋势时，中枢识别延迟的问题。
  
• 中枢识别：在线段范围内识别笔中枢，在趋势范围内识别线段中枢。注意：存在识别延迟问题。
  
• MACD面积统计：对于向上线段，统计范围内的0轴上方的MACD面积；对于向下线段，统计范围内0轴下方的MACD面积。
  
• 动能计算：基于“时价量”对动能进行计算，评估线段强度，和MACD面积互为参考，方便判断背驰。注意：有时二者并不完全一致，需根据实际情况判断。
  
• 买卖点识别：未实现。
  
• 告警和策略：未实现。