11 projects for "backtesting" with 2 filters applied:

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  • 1
    Optopsy

    Optopsy

    A nimble options backtesting library for Python

    Optopsy is a Python-based, nimble backtesting and statistics library focused on evaluating options trading strategies like calls, puts, straddles, spreads, and more, using pandas-driven analysis. The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them.
    Downloads: 0 This Week
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  • 2
    Smart Money Concepts

    Smart Money Concepts

    Discover our Python package designed for algorithmic trading

    ...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.
    Downloads: 2 This Week
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  • 3
    FinRobot

    FinRobot

    An Open-Source AI Agent Platform for Financial Analysis using LLMs

    ...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place.
    Downloads: 0 This Week
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  • 4
    AI Hedge Fund

    AI Hedge Fund

    An AI Hedge Fund Team

    This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a...
    Downloads: 2 This Week
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  • 5
    Intelligent stock analysis system

    Intelligent stock analysis system

    LLM-driven A/H/US stock intelligent analyzer

    Intelligent stock analysis system is a Python-based smart stock analysis system that leverages large language models to automatically analyze selected equities across A-shares, Hong Kong stocks, and U.S. markets. It’s designed to produce a daily “decision dashboard” summarizing key insights such as core conclusions, precise entry/exit points, and checklists for potential trades, combining multi-dimensional technical analysis, market sentiment, chip distribution, and real-time price data. The...
    Downloads: 8 This Week
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  • 6
    AnyTrading

    AnyTrading

    The most simple, flexible, and comprehensive OpenAI Gym trading

    gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex.
    Downloads: 0 This Week
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  • 7
    myopentrader

    myopentrader

    Open-source complex-event based trading engine

    ...The best way of describing MOT is a flexible open-source trading framework. It is built from ground up as a parallel computing engine, which allows to do large scale parallel backtesting. MOT is distributed under the GPL v3 License and is free to use for everyone without warranty. MyOpenTrader.org is not responsible for any of your trading losses and can not be held accountable. Use the framework at your OWN risk. MOT is written purely in Java (1.6++) and has dependencies on a DB as well as a MQ Broker (such as ActiveMQ).
    Downloads: 0 This Week
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  • 8

    AIStockBot

    Stock Analysis Program

    AIStockBot aims to become the greatest Technical and Fundamental Stock Analysis program using different approaches including Artificial Intelligence. It strives to recommend stocks better than your average Financial Adviser.
    Downloads: 1 This Week
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  • 9
    QuantComponents

    QuantComponents

    Free Java components for Quantitative Finance and Algorithmic Trading

    ... * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime market data * Backtesting facility * Extensible SWT charting library
    Downloads: 0 This Week
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  • 10
    GeniusTrader

    GeniusTrader

    GeniusTrader is a stock market trading systems toolkit

    ...GeniusTrader implements trading systems defined in terms of: specific entry-exit points, current cash, current positions, trade type and most traditional technical analysis indicators. Market data time-periods range from ticks to years. Backtesting defined trading systems as well as tools to develop and test technical market indicators are provided. Visit geniustrader.org for full details and to download the most current version. Written in perl.
    Downloads: 0 This Week
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  • 11
    Tool for backtesting trading strategies.
    Downloads: 0 This Week
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