waditu/czsc
Czsc
czsc is a technical analysis library and quantitative research environment focused on Chan theory. It functions as a multi-timeframe fractal analyzer and backtesting framework used to identify market tops, bottoms, and trend structures.
The system distinguishes itself through the use of bi-segment topological linking to analyze the directional flow of price. It utilizes a boolean signal composition engine to combine technical indicators with logical operators, creating complex executable rules for automated trading.
The platform covers quantitative strategy research via a notebook-style loop that pairs backtesting pipelines with interactive visualization dashboards. It integrates multi-timeframe consensus aggregation to validate signals by converging analysis from different time horizons.
Features
- Algorithmic Trading - Provides a comprehensive environment for automating financial market analysis and quantitative strategy research.
- Boolean Signal Compositors - Combines multiple technical indicators with logical operators to create complex, executable trading rules.
- Fractal Price Pattern Recognizers - Identifies tops, bottoms, and connecting segments in price data using topological rules to segment market structure.
- Quantitative Trading Platforms - Provides an integrated environment for developing, backtesting, and iteratively refining quantitative trading strategies.
- Trading Strategy Backtesters - Evaluates quantitative trading rules against historical market data using an interactive refinement loop.
- Trading Strategy Definitions - Provides a boolean signal composition engine to codify financial logic and automated decision-making rules.
- Pattern Recognition Integrations - Implements trading strategy building and backtesting specifically based on Chan theory pattern recognition.
- Boolean Logic Engines - Provides a boolean logic engine to combine technical indicators into executable trading rules.
- Topological Price Segmenters - Connects adjacent fractal tops and bottoms into bi segments that serve as the atomic unit for trend analysis.
- Geometric Price Pattern Recognizers - Applies geometric rules to historical price data to automatically label market strokes and structures.
- Chan Theory Analyzers - Implements Chan theory patterns to identify market tops, bottoms, and bi segments for trend analysis.
- Fractal Market Segmenters - Identifies price tops and bottoms to partition market data into topological segments and trend structures.
- Multi-Timeframe Fractal Analyzers - Identifies market tops and bottoms across different timeframes to produce a converged trend decision.
- Technical Analysis - Provides a library for quantitative trend detection and pattern analysis in financial markets using Chan theory.
- Topological Trend Analyzers - Implements bi-segment topological linking to analyze the directional flow of market price action.
- Visualization Dashboards - Provides interactive dashboards and visualization tools for testing and analyzing quantitative trading strategies.
- Fractal Consensus Aggregators - Aggregates fractal sequence analyses from multiple timeframes into a single converged trade decision.
- Interactive Research Environments - Pairs backtesting pipelines with interactive visualization tools for iterative strategy rule modification.
- Iterative Strategy Research Loops - Provides a notebook-style environment to backtest and modify rules without rerunning the entire pipeline.
- Multi-Timeframe Consensus Aggregators - Combines analysis from different time horizons into a converged decision to validate signal accuracy.
- Multi-Timeframe Trend Analyzers - Aggregates fractal pattern data across different timeframes to validate trade signals and confirm direction.
- Alpha and Strategy Collections - Technical analysis tools based on Chan theory.
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