Showing 4 open source projects for "risk"

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  • 1
    skfolio

    skfolio

    Python library for portfolio optimization built on top of scikit-learn

    ...It supports a wide range of allocation methods, from classical mean-variance optimization to modern techniques that rely on clustering, factor models, and risk-based allocations. The framework also includes tools for evaluating portfolio performance under different market conditions, enabling users to test robustness and reduce the risk of overfitting.
    Downloads: 0 This Week
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  • 2
    Quantitative Trading System

    Quantitative Trading System

    A comprehensive quantitative trading system with AI-powered analysis

    ...It includes tools for collecting and processing market data from multiple sources, performing statistical and machine learning analysis, and generating trading signals based on quantitative models. The system supports real-time data streaming, allowing strategies to respond to market conditions as they evolve. QuantMuse also incorporates advanced risk management features, including portfolio monitoring, risk limits, and dynamic position sizing to control exposure.
    Downloads: 0 This Week
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  • 3
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    ...The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward pass of neural network training. This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. The system acts as a thin wrapper around PyTorch tensors and operations, meaning that it integrates easily into existing PyTorch code without requiring major changes to model implementations. ...
    Downloads: 0 This Week
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  • 4
    QuantResearch

    QuantResearch

    Quantitative analysis, strategies and backtests

    QuantResearch is a large educational repository dedicated to quantitative finance, algorithmic trading, and financial machine learning research. The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling...
    Downloads: 0 This Week
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