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FMZ - Trading Strategies: Quantitative Trading Strategies with JS, Python, C++

FMZ provides a repository of trading strategies using Javascript, Python, C++, and more, focusing on algorithmic trading and bot development.
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FMZ provides a collection of trading strategies designed for quantitative trading on various cryptocurrency exchanges. These strategies leverage techniques in Javascript, Python, C++, PineScript, and even MyLanguage to automate trading decisions. The primary objective is to offer pre-built, ready-to-use trading algorithms to traders of all experience levels, simplifying the development process and enabling automated trading.

This repository distinguishes itself with a wide variety of strategies catering to diverse trading approaches, ranging from simple indicators and trend following to complex arbitrage and money management techniques. It offers both standalone strategies and components for constructing comprehensive trading systems, like a strategy framework, a testing tool, and network strategies. Additionally, the repository includes various plugins and tools, such as tools for data handling, account management and alert systems.

  • Variety of Strategies: Includes breakout, trend-following, and arbitrage strategies, along with options for grid trading and multi-exchange trading.
  • Multi-Language Support: Strategies implemented in Javascript, Python, C++, and PineScript, catering to different developer preferences.
  • Comprehensive Tools: Offers plugins for order management, trading data aggregation, and monitoring various events.
  • Educational Focus: Many entries include tutorials, tutorials providing comprehensive explanations of strategies.
  • Testing Framework: Includes a testing framework for backtesting and evaluating strategy performance.

The repository appears active with recent commits and frequent updates, suggesting ongoing maintenance and development. A substantial number of stars and forks indicate community interest. While some strategies are relatively new, the presence of established and well-documented ones suggests a growing and engaged user base. The diverse range of strategies demonstrates an active community providing and testing each other's strategies.

This repository is valuable for traders and developers interested in implementing automated trading strategies. It provides a collection of ready-to-use or customizable code for various trading strategies, along with useful tools and educational resources. Developers can leverage these strategies to automate their trading, backtest approaches, and integrate with various exchanges.

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Stars
5,308
Forks
1,702
Issues
3
Created
10 years ago
Commit
1 year ago
License
None
Archived
No
Updated 9 days ago

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