pandas-ta

There are 12 repositories under pandas-ta topic.

  • wshobson/mcp-trader

    A Model Context Protocol (MCP) server for stock traders

  • qpace

    nersent/qpace

    📊 The Quant SDK for Python and Javascript. Written in Rust.

    Language:Rust20106
  • Guillaume-Fgt/vectorbt_backtesting

    Web app for pandas-ta indicators

    Language:Python18206
  • coding-kitties/PyIndicators

    PyIndicators is a powerful and user-friendly Python library for financial technical analysis indicators, metrics and helper functions for pandas and polars dataframes. Written entirely in Python, it requires no external dependencies, ensuring seamless integration and ease of use.

    Language:Python15005
  • labrijisaad/Prediction-du-cours-de-Bourse

    Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

    Language:Jupyter Notebook7202
  • StephanAkkerman/super-guppy

    Technical analysis indicator, based on Super Guppy R1.2 by JustUncleL on TradingView

    Language:Python4221
  • Alba3k/quant-strategies

    ⚙️ A modular collection of algorithmic trading strategies built in Python.

    Language:Python1
  • maquenneville/RyanStockScreener

    A stock screener inspired by the simple trading strategy of my friend Ryan.

    Language:Python1100
  • Ronit26Mehta/YieldYatra-An-Autonomous-AI-Agent-for-DeFi-Trading-with-Aptos-Integration

    YieldYatra is an advanced autonomous AI-driven trading agent designed specifically for the decentralized finance (DeFi) ecosystem, seamlessly integrated with the Aptos blockchain. It autonomously manages crypto portfolios by leveraging innovative, Japanese-inspired trading frameworks, advanced mathematical models, and sophisticated risk management

    Language:Python1
  • kunalranjan19/Algo-FM

    This project utilizes machine learning techniques to predict stock prices by integrating diverse data sources including historical price data, technical indicators, sentiment analysis from news, social media, and macroeconomic indicators.

    Language:Jupyter Notebook0100
  • SecretResell/ai-finance-trading-agent

    📈 Predict market volatility and optimize trading strategies with an LSTM-based model and a SARSA reinforcement learning agent for intraday trading.

    Language:Jupyter Notebook