Showing 9 open source projects for "general morphological analysis"

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  • 1
    FinGPT

    FinGPT

    Open-Source Financial Large Language Models

    FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. ...
    Downloads: 3 This Week
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  • 2
    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. Optopsy is a small simple library that offloads...
    Downloads: 2 This Week
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  • 3
    Kronos

    Kronos

    A Foundation Model for the Language of Financial Markets

    Kronos is a specialized open-source foundation model designed for analyzing and predicting financial market data using time-series representations of candlestick patterns. It is built as a decoder-only Transformer model trained specifically on K-line data, which captures open, high, low, close, and volume information across multiple global exchanges. The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process...
    Downloads: 2 This Week
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  • 4
    KherveSheet

    KherveSheet

    Excel for scientists: high-quality plots, Python in cells, AI side bar

    KherveSheet is a desktop spreadsheet application for scientists, built in Python and running on Windows. Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. An integrated AI assistant can generate...
    Downloads: 3 This Week
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  • 5
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,...
    Downloads: 0 This Week
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  • 6
    This project provides a Fortran90 library and a python module for singular spectrum analyses such as PCA/EOF or MSSA. It is intended for people interested, for example, in analysing climate or financial variability.
    Downloads: 0 This Week
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  • 7
    Trading system written in Python including Quotes Management, Historical and live data, Import/Export data, Charting, Candlestick, Technical analysis, automated alerts, portfolio management, risk management, currency exchange, and much much more ...
    Downloads: 3 This Week
    Last Update:
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  • 8
    The StockTools project provides open-source tools for the fundamental analysis of stocks for the purposes of buying and maintaining a strong, well-balanced portfolio. The tools are particularly appropriate for investment clubs. Will work with .ssg file
    Downloads: 0 This Week
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  • 9
    Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.
    Downloads: 0 This Week
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