Reverse Dependencies of ta

The following projects have a declared dependency on ta:

• advanced-ta — Python implementation of Lorentzian Classification algorithm.
• algotrade — Algorithmic trading strategy creation and testing
• AlmaIndicate — A small library for computing ALMA indicator for stocks
• AlmaIndicator — A small library for computing ALMA indicator for stocks
• azapy — Financial Portfolio Optimization Algorithms
• backintime — Tool for testing trading strategies on historical data
• btframework — A simple backtesting library
• carabiner — economic estimation
• data-acquisition — Stock Data Acquisition
• drl-model — DRL logic
• easy_technical_analysis — no summary
• ejtraderRL — Reinforcement learning Trading envoriments.
• ezyquant — Powerful Python backtesting for Thai stocks
• FinMind — financial mining
• fmp-py — Python package for Financial Modeling Prep API
• fmp-quant — Financial Modeling Prep Wrapper and Quant Package
• forcepu.sh — An algorithmic trading platform
• forcepush — An algorithmic trading platform
• fudstop — no summary
• hmile — Python 3.x module to render financial results in tensorboard
• hyperdrive — An algorithmic trading platform
• infertrade — Pandas and SciKit Learn compatible open source interface for algorithmic trading functions.
• interstellar — An algorithmic trading platform
• kaiostocks — this library treats stocks data
• lstm-forecast — A package for LSTM-based financial time series forecasting
• metagpt — The Multi-Agent Framework
• metagpt-simple — The Multi-Agent Framework
• neuralstockprophet — LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting.
• nfinance — A simple finance data fetching library for Naver Finance data.
• open-backtest — Open Backtest is a beginner friendly & powerful backtesting engine for crypto trading
• pfund — A Complete Algo-Trading Framework for Machine Learning, enabling trading across TradFi, CeFi and DeFi. Supports Vectorized and Event-Driven Backtesting, Paper and Live Trading
• py-alpaca-daily-losers — Daily Losers strategy, uses py-alpaca-api for Alpaca Markets integration.
• PyGEVO — The package for PyGEVO
• pyharmonics — no summary
• python-trader — A simple tool for algorithm trading and backtesting
• quant-invest-lab — Quant Invest Lab is a python package to help you to do some quantitative experiments, while trying to learn or build quantitative investment solutions. This project was initially my own set of functionnalities but I decided to build a package for that and sharing it as open source project.
• refinda — Reproducible Finance Data: Standardized datasets for finance research tasks.
• RiskLabAI — Financial AI using Python.
• rollercoaster — economic estimation
• sc-backtest — Index future simple stat and time-series backtest module
• seductive — seductive pheromones
• seqrep — Scientific framework for representation in sequential data
• statistical-stocks-ta — A python package for Statistical Stocks TA (computing patterns, ma, indicators) and data fetching.
• stockait — Make your stock investment smarter, join StockAit!
• stockhold — stock hold analysis
• stonks-trader — no summary
• stratestic — Library for testing and analysing trading strategies.
• tars — A crypto trading bot for research and developers
• tatspy — Technical Analysis Time Series for Machine Learning
• techsig — Technical charts with signals
• tectonics — economic estimation
• TensorTrade — TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
• tensortrade-ng — TensorTrade-NG: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
• theohe-functions — Personal defined functions.
• TraderBackTesterOptAlpha — Package for backtesting trading strategies and updating required files
• vectorbt — Python library for backtesting and analyzing trading strategies at scale
• vortexes — economic estimation