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Smart Money Concepts is a Python library that implements advanced trading indicators based on the “Smart Money Concepts” methodology, which focuses on institutional market behavior and price action analysis. It is designed for algorithmic traders and quantitative analysts who want to incorporate professional trading strategies into automated systems. The library processes structured OHLC or OHLCV market data and computes indicators such as fair value gaps, order blocks, liquidity zones, and market structure changes. These indicators are inspired by ICT trading principles and are used to identify trends, reversals, and potential entry or exit points in financial markets. The system is modular, allowing users to combine different indicators and integrate them into backtesting frameworks or live trading bots. It is particularly useful for traders working in forex, crypto, or equities who rely on price action rather than traditional indicators.
Features
- Implementation of ICT-based trading indicators such as order blocks and liquidity
- Processing of OHLC and OHLCV market data
- Detection of fair value gaps and market structure changes
- Modular functions for building trading strategies
- Integration with algorithmic trading and backtesting systems
- Support for trend analysis and reversal identification
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