Statistics for topic financial-analysis
RepositoryStats tracks 592,850 Github repositories, of these 76 are tagged with the financial-analysis topic. The most common primary language for repositories using this topic is Python (26). Other languages include: Jupyter Notebook (17)
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An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Technical indicators to run technical analysis with JavaScript & TypeScript. 📈
Teaches step-by-step to analysis stock data in python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
QuestDB is a high performance, open-source, time-series database
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Ma...
💰 Simplistic, beautiful and straight-forward budgeting tracking app to track your budget across the years. Easy to use, to get started and to set up.
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
QuestDB is a high performance, open-source, time-series database
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
💰 Simplistic, beautiful and straight-forward budgeting tracking app to track your budget across the years. Easy to use, to get started and to set up.
Anti Money Laundering Detection using Graph Attention Network
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
A sentiment analyzer package for financial assets and securities utilizing GPT models.
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
Master the art of designing and organizing AI agents. Learn to automate complex, multi-step business processes by creating specialized AI agent teams using the open-source library crewAI.
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights.
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
QuestDB is a high performance, open-source, time-series database
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
💰 Simplistic, beautiful and straight-forward budgeting tracking app to track your budget across the years. Easy to use, to get started and to set up.
This strategy works for every market condition irrespective of the movement
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features
FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, m...