Smart-Money-Concepts

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Smart-money-concepts is a Python package for algorithmic trading that brings ICT's smart money concepts to Python. It offers a range of indicators for developing trading strategies.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is smart-money-concepts?

Smart-money-concepts is a Python package designed for algorithmic trading, integrating Inner Circle Trader (ICT) concepts into Python. It provides a suite of indicators such as Fair Value Gap (FVG), Swing Highs and Lows, Break of Structure (BOS) & Change of Character (CHoCH), Order Blocks (OB), and Liquidity. The package also includes functionalities to identify previous highs and lows across different timeframes and to analyze session-specific market activity and retracements. This tool is intended for traders and investors seeking to gain deeper insights into market sentiment, trends, and potential reversals through programmatic analysis.

Best used for

Ideal for traders and investors who need to implement Inner Circle Trader (ICT) concepts programmatically, analyze market structure, and develop sophisticated algorithmic trading strategies. Especially valuable for those looking to integrate advanced technical analysis indicators into their Python-based trading systems.

Common actions

analyze market structure

develop trading indicators

automate trading strategies

identify market trends

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Capabilities

Key features

Fair Value Gap (FVG) detection
Swing Highs/Lows identification
Break of Structure (BOS) analysis
Change of Character (CHoCH)
Order Block (OB) detection
Liquidity analysis
Session-specific market activity

Target Audience

traderinvestor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of data does the smart-money-concepts package expect?

The smart-money-concepts package expects properly formatted OHLC (Open, High, Low, Close) DataFrame, with column names in lowercase. For indicators that require volume, it also expects a 'volume' column.

Can I contribute to the smart-money-concepts project?

Yes, the project encourages contributions. You can create your own indicators or improve existing ones. The GitHub repository provides guidelines for contributing, including creating feature branches and submitting pull requests.

Is smart-money-concepts suitable for live trading decisions?

The project explicitly states it is for educational purposes only. It advises against using its indicators as the sole decision-maker for trades and emphasizes the importance of proper risk management and personal research.

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Coding & Development › Open Source & Models Research & Education › Scientific Computing

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