xgboosted / pandas-ta-classicLinks
Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 200+ Indicators and Candlestick Patterns
☆103Updated 2 weeks ago
Alternatives and similar repositories for pandas-ta-classic
Users that are interested in pandas-ta-classic are comparing it to the libraries listed below
Sorting:
- A python library for computing technical analysis indicators on streaming data.☆136Updated 7 months ago
- powerful ai-copilot for quant traders and researchers☆192Updated last year
- Analysis of financial instruments☆75Updated 3 weeks ago
- A Collection of public tutorials published in the qubitquants.pro blog☆74Updated 2 years ago
- A dockerized Jupyter quant research environment.☆221Updated this week
- A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.☆143Updated 11 months ago
- A sentiment analyzer package for financial assets and securities utilizing GPT models.☆186Updated last year
- An All-in-One Algo-Trading Framework: Backtest -> Train -> Trade -> Monitor. Machine / Deep Learning Ready. Supports All Trading: TradFi+…☆59Updated 2 months ago
- This repository is used to extract the constituents of ETFs into a pandas DataFrame which could be used for further data exploration.☆24Updated 11 months ago
- A Python library for evaluating option trading strategies.☆442Updated 7 months ago
- Vectorized backtester and trading engine for QuantRocket☆245Updated last week
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆75Updated last year
- VectorBT Backtesting☆36Updated 2 years ago
- some zipline data bundles☆66Updated last year
- Get meaningful OHLCV datasets☆91Updated 3 weeks ago
- This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.☆76Updated 3 months ago
- Python library - detection of support and resistance trendlines for technical analysis. With tuning parameters and plotting capabilities☆115Updated last year
- Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models☆456Updated 2 years ago
- Montecarlo simulations/analysis for finance (equity simulator)☆48Updated 2 years ago
- The official Python client library for Databento☆221Updated last week
- Technical Analysis Indicators for polars☆216Updated last week
- OIPD computes the market's expectations about the probable future prices of an asset, based on information contained in options data.☆287Updated this week
- Common financial risk and performance metrics. Used by zipline and pyfolio.☆97Updated last week
- SDK for the EOD Historical data API☆99Updated last year
- Portfolio and risk analytics in Python☆550Updated last week
- Financial AI with Python☆96Updated last week
- Interactive Brokers Fundamental data for humans☆96Updated 4 months ago
- Automated Python implementation of a Mount Lucas Management (MLM) style trend-following strategy for futures using the IBKR API (ib_insyn…☆33Updated 6 months ago
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆191Updated last year
- A simple, extendable, and clean backtesting framework for portfolio allocation problems (and more).☆69Updated last month