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aialpha

Use unsupervised and supervised learning to predict stocks

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

deep-algotrading

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

deep-portfolio-theory

Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

duongtrieu.github.io

eiten

Statistical and Algorithmic Investing Strategies for Everyone

fbcrawl

A Facebook crawler

financial-data-stream

Download financial statement for public companies in Vietnam. Provide up-to-date M&A deal and macro economics data in Vietnam. 1 stop shop for all analysts in Vietnam

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

forex-and-stock-python-pattern-recognizer

A machine learning program that is able to recognize patterns inside Forex or stock data

iced_aw

Additional widgets for the Iced GUI library

iced_table

ichibot

Ichimoku alerts via telegram bot

ichimoku-crypto

sample python code to plot ichimoku for crypto

image-annotator-rust

Validate your image annotations using this Rust App

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

olps

Online Portfolio Selection toolbox

pandas-technical-indicators

Technical Indicators implemented in Python using Pandas

plotters-iced

:chart_with_upwards_trend: Iced backend for Plotters

q-trader

Deep Q-learning driven stock trader bot

quant-trading

Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

register_cal

rust-chess-engine

A dependency-free chess engine♟️ library built to run anywhere.

rust-dynasty-trade

A cross-platform native desktop application for trading cryptocurrency on Binance

scala_zalomobile_migratedata

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

skype4py

Platform independent Python wrapper for the Skype Desktop API