Technical Analysis

TA-lib, for more technical analysis compared to ta library.
https://github.com/mrjbq7/ta-lib

Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas library with more than 130 Indicators and Utility functions.
https://github.com/twopirllc/pandas-ta

Unofficial TradingView technical analysis API wrapper.
https://github.com/brian-the-dev/python-tradingview-ta

Renderers

Tensortrade_dashboard, to visualize trades in simulation runs.
https://github.com/mitcheccles/tensortrade_dashboard

WalletPlotlyTradingChart, extended versus PlotlyTradingChart() in ability to generate chart specific for particular exchange/quote_currency.
https://github.com/AlexQuant62/test01/blob/main/WalletPlotlyTradingChart.py

Analysis

Quantstats, a Python library that performs portfolio profiling, allowing quants and portfolio managers to understand their performance better by providing them with in-depth analytics and risk metrics.
https://github.com/ranaroussi/quantstats

SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.
https://github.com/slundberg/shap

Backtest trading strategies with Python.
https://github.com/kernc/backtesting.py/

Visualizer for pandas data structures.
https://github.com/man-group/dtale

TensorBoard for visualizing results.
https://github.com/tensorflow/tensorboard

Use W&B to organize and analyze machine learning experiments. It's framework-agnostic and lighter than TensorBoard.
https://github.com/wandb/client

Live Trading

A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs.
https://github.com/ccxt/ccxt

This is an unofficial Python wrapper for the Binance exchange REST API v3.
https://github.com/sammchardy/python-binance

An unofficial Python API to use the Binance Websocket APIs.
https://github.com/oliver-zehentleitner/unicorn-binance-websocket-api

The unofficial Python client for the Coinbase Pro API.
https://github.com/danpaquin/coinbasepro-python

Reward calculation

Differential Sharpe Ratio (DSR) calculation.
https://github.com/AchillesJJ/DSR

Data

My simple script for fetching data, using the Binance API. There are more time frames possible compared to data of CryptoDataDownload.
https://github.com/StephanAkkerman/BinanceData

My newer script for fetching data, using ccxt instead of Binance API to use more exchanges. It works the same as BinanceData, but supports more exchanges.
https://github.com/StephanAkkerman/Crypto_OHLCV

Official Binance repo for getting their public data.
https://github.com/binance/binance-public-data

A Python 3 script to harvest data from the Binance socket stream and calculate popular TA indicators and produce lists of top trending coins storing data in an SQLite3 database for use by algorithmic and bot traders.
https://github.com/declasm/binance_harvester

Ray

Custom stopping mechanisms to stop trials early.
https://docs.ray.io/en/master/tune/api_docs/stoppers.html

Example of how to use custom metrics.
https://github.com/ray-project/ray/blob/master/rllib/examples/custom_metrics_and_callbacks.py

Trial Schedulers can early terminate bad trials, pause trials, clone trials, and alter hyperparameters of a running trial.
https://docs.ray.io/en/master/tune/api_docs/schedulers.html

Tune’s Search Algorithms are wrappers around open-source optimization libraries for efficient hyperparameter selection.
https://docs.ray.io/en/master/tune/api_docs/suggestion.html

Customizing Exploration Behavior.
https://docs.ray.io/en/master/rllib-training.html#customizing-exploration-behavior

Curiosity plugin as exploration behavior.
https://docs.ray.io/en/master/rllib-algorithms.html#curiosity

Stocks

Yahoo! Finance market data downloader, if you want to train your model on stock data.
https://github.com/ranaroussi/yfinance

Python client for Alpaca's trade API.
https://github.com/alpacahq/alpaca-trade-api-python

A python wrapper for Alpha Vantage API for financial data.
https://github.com/RomelTorres/alpha_vantage

Examples

My own example, including benchmarks to compare net worth performance, and fetching data from Binance. https://github.com/StephanAkkerman/TensorTrade/blob/main/TT_v4.py

Zhivko's examples, including implementation of training and evaluation environments in after.py.
https://github.com/zhivko/tensortrade/tree/master/examples/myexample

Kodiak's notebook example, including implementation of feature correlation and Optuna search algorithm.
https://colab.research.google.com/drive/1N0gZhsiXT7vwHN__FoX8an-AqxJDSfak

Msrparadesi's notebook example with SageMaker Studio.
https://github.com/msrparadesi/tensortrade/blob/master/examples/TensorTrade_on_SageMaker_Studio.ipynb

Matthew Brulhardt's simple example how to trade on a basic sine curve using TensorTrade and Ray.
https://github.com/mwbrulhardt/simple-sine-curve

Matthew Brulhardt's example for making highly customized environments in TensorTrade.
https://github.com/mwbrulhardt/penv

Research

Part one of 8ball030's research of technical analysis indicators.
https://github.com/8ball030/FTXIndicators

Part two of 8ball030's research of technical analysis indicators.
https://github.com/8ball030/indicator_part_2

List of code, papers, and resources for AI/deep learning/machine learning/neural networks applied to algorithmic trading.
https://github.com/cbailes/awesome-deep-trading

List of portfolio management resources, using Reinforcement Learning.
https://github.com/Draichi/Portfolio-Management-list