Machine Learning > AI in Finance

Complete process for predicting stock price movements.

A stock trading bot powered by Trump tweets.

Implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Deep Reinforcement Learning for Automated Stock Trading.

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.

Build a Deep Q-learning reinforcement agent model as automated trading robot.

Trading environment(OpenAI Gym) + PPO(TensorForce).

Trading agent to train with episode of short term trading itself.

Deep Reinforcement Learning for Financial Trading using Price Trailing.

Trading environment(OpenAI Gym) + DDQN (Keras-RL).

Papers and code implementing Quantitative-Trading.

Environment for reinforcement-learning algorithmic trading models.

A framework for machine-learning bots.

Machine learning in quant analysis.

Stock market trading OpenAI Gym environment with Deep Reinforcement Learning using Keras.

ML powered analytics engine for outlier/anomaly detection and root cause analysis..

Scalable machine learning based time series forecasting.

Deterministic algorithm for stock price prediction, focusing on pattern recognition in historical data.

Research experiments exploring uncommon quant techniques.

A light-weight deep reinforcement learning framework for portfolio management.

Reinforcement Learning for portfolio management.

A Deep Reinforcement Learning framework for the financial portfolio management problem.

Portfolio optimization with deep learning.

Python library for portfolio optimization built on top of scikit-learn.

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion.

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

Analysis of High Frequency Trading on Bitcoin exchanges.

Predicting price trends in crypto markets using an LSTM-RNN for trading.

TensorForce Bitcoin trading bot.

A population model that trade cyrpto and breed and mutate iteratively.

Genetic algorithm for solving optimization of trading strategies using Gekko.

ANN trading strategies for the Gekko trading bot.

Neural network strategy for Gekko.

Code for "Bitcoin Prediction" by Siraj Raval on YouTube.

A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots

Python quantitative trading strategies.

Gekko bot resources.

Gekko strategies, tools etc.

Gekko RSI_WR strategies.

Calculate down peak and trade on.

Ethereum trading algorithm using Python 3.5 and the library ZipLine.

Awesome crypto currency trading platform.

Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithmv.

Bitcoin MACD crossover trading strategy backtest.

Automated crypto trading & technical analysis (TA) bot for Bittrex, Binance, GDAX, and more.

Strategies to Gekko trading bot with backtests results and some useful tools.

Gann's Swing trade strategy for Gekko trade bot.

Use LSTM to predict lottery.

Arbitrage bot that currently works on bittrex & poloniex.

Automatic arbitrage trading system powered by Node.js + TypeScript.

A crypto currency arbitrage opportunity calculator. Over 800 currencies and 50 markets.

Bitcoin arbitrage opportunity detector.

Long / short market-neutral strategy.

Python module to get stock data from Yahoo! Finance.

TuShare is a utility for crawling historical data of China stocks.

A live crypto currency historical trade data blotter. Download live historical trade data from any crypto exchange.

Python SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, backtesting, and price alerts. Free tier: 25 req/hr.

Gekko trading bot dataset dumps. Download and use history files in SQLite format.

Bitcoin fee intelligence API with 108 endpoints for fee estimates, mempool analysis, block data, and mining stats. Self-hostable, Apache 2.0.

Solana-based prediction market for human opinions with an agent CLI and AGENTS.md spec for AI agents to authenticate, list opinion campaigns, and place bets via JSON-friendly commands.

AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

Tests bt and Quantopian Zipline as backtesting frameworks for coin trading strategy.

Batch backtest, import and strategy params optimalization for Gekko Trading Bot.

High-performance TensorFlow library for quantitative finance.

Play with neural networks.

Visualizer for deep learning and machine learning models.

Highly customizable professional lightweight financial charts

Trading and Backtesting environment for training reinforcement learning agent.

Trading environment for RL agents, backtesting and training.

Scalable, event-driven, deep-learning-friendly backtesting library.

Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.

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

Quant / Algorithm trading resources with an emphasis on Machine Learning.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.