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awesome-ai-in-finance

https://github.com/jkinda/awesome-ai-in-finance

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Courses & Book
- Advanced-Deep-Trading - Mostly experiments based on "Advances in financial machine learning" book.
- NYU: Overview of Advanced Methods of Reinforcement Learning in Finance
- Udacity: Artificial Intelligence for Trading
Strategies & Research
- Time Series Data
  - Personae - Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
  - AutomatedStockTrading-DeepQ-Learning - Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model.
  - tf_deep_rl_trader - Trading Environment(OpenAI Gym) + PPO(TensorForce).
  - trading-gym - This trading-gym is the first trading for agent to train with episode of short term trading itself.
  - trading-rl - Deep Reinforcement Learning for Financial Trading using Price Trailing.
  - deep_rl_trader - Trading Environment(OpenAI Gym) + DDQN (Keras-RL).
  - RL-Stock - 如何用深度强化学习自动炒股.
  - Quantitative-Trading - Papers and Code Implements for Quantitative-Trading.
  - gym-trading - Environment for reinforcement-learning algorithmic trading models.
  - zenbrain - A framework for machine-learning bots.
  - DeepLearningNotes - Machine Learning in Quant analysis.
  - stock_market_reinforcement_learning - Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras.
- Portfolio Management
  - Deep-Reinforcement-Stock-Trading - A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
  - qtrader - Reinforcement Learning for Portfolio Management.
  - PGPortfolio - PGPortfolio - Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.
  - DeepDow - Portfolio optimization with deep learning.
- High Frequency Trading
  - 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.
  - HFT_Bitcoin - Analysis of High Frequency Trading on Bitcoin exchanges.
- Event Drive
  - trump2cash - A stock trading bot powered by Trump tweets.
  - stockpredictionai - In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator.
- Crypto Currencies Strategies
  - LSTM-Crypto-Price-Prediction - Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot.
  - tforce_btc_trader - TensorForce Bitcoin Trading Bot.
  - Tensorflow-NeuroEvolution-Trading-Bot - Using tensorflow to build a population of models that trade cyrpto and breed and mutate iteratively.
  - gekkoga - Genetic Algorithm for solving optimization of trading strategies using Gekko.
  - Gekko_ANN_Strategies - ANN trading strategies for the Gekko trading bot.
  - gekko-neuralnet - Neural network strategy for Gekko.
  - bitcoin_prediction - This is the code for "Bitcoin Prediction" by Siraj Raval on YouTube.
- Technical Analysis
  - quant-trading - Python quantitative trading strategies.
  - Gekko-Bot-Resources - Gekko bot resources.
  - gekko_tools - Gekko strategies, tools etc.
  - gekko RSI_WR - Gekko RSI_WR strategies.
  - gekko HL - Calculate down peak and trade on.
  - EthTradingAlgorithm - Ethereum trading algorithm using Python 3.5 and the library ZipLine.
  - gekko_trading_stuff - A dumping ground for my files I use with this awesome crypto currency trading platform.
  - forex.analytics - Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithmv.
  - Bitcoin_MACD_Strategy - Bitcoin - MACD Crossover Trading Strategy Backtest.
  - crypto-signal - Automated Crypto Trading & Technical Analysis (TA) Bot for Bittrex, Binance, GDAX, and more! (250+ coins).
  - Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.
  - gekko-gannswing - Gann's Swing trade strategy for Gekko trade bot.
- Lottery & Gamble
  - LotteryPredict - Use LSTM to predict lottery.
- Arbitrage
  - ArbitrageBot - Arbitrage bot that currently works on bittrex & poloniex.
  - r2 - R2 Bitcoin Arbitrager is an automatic arbitrage trading system powered by Node.js + TypeScript.
  - cryptocurrency-arbitrage - A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets.
  - bitcoin-arbitrage - Bitcoin arbitrage - opportunity detector.
  - blackbird - Blackbird Bitcoin Arbitrage: a long/short market-neutral strategy.
Data Sources
- Arbitrage
  - yahoo-finance - Python module to get stock data from Yahoo! Finance.
  - Tushare - TuShare is a utility for crawling historical data of China stocks.
  - CryptoInscriber - A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
  - Gekko-Datasets - Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
Research Tools
- Arbitrage
  - JAQS - An open source quant strategies research platform.
  - pyfolio - Portfolio and risk analytics in Python.
  - alphalens - Performance analysis of predictive (alpha) stock factors.
  - empyrical - Common financial risk and performance metrics. Used by zipline and pyfolio.
  - zvt - Zero vector trader.
Trading System
- Traditional Market
  - zipline - Zipline, a Pythonic Algorithmic Trading Library.
  - rqalpha - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities.
  - kungfu - Kungfu Master Trading System.
  - pylivetrader - Python live trade execution library with zipline interface.
- Crypto Currencies
  - CoinMarketCapBacktesting - This project tests bt and Quantopian Zipline as backtesting frameworks for coin trading strategy.
  - zenbot - Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
  - bot18 - Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot.
  - magic8bot - Magic8bot is a cryptocurrency trading bot using Node.js and MongoDB.
  - QuantResearchDev - Quant Research dev & Traders open source project.
  - abu - A quant trading system base on python.
  - easytrader
  - Gekko-BacktestTool - Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
  - MACD - Zenbot Macd Auto-Trader.
TA Lib
- Crypto Currencies
  - pandas_talib - A Python Pandas implementation of technical analysis indicators.
  - finta - Common financial technical indicators implemented in Python-Pandas (70+ indicators).
  - tulipnode - Tulip Node is the official Node.js wrapper for Tulip Indicators. It provides over 100 technical analysis overlay and indicator functions.
  - techan.js - A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.
Exchange API
- Crypto Currencies
  - IbPy - Python API for the Interactive Brokers on-line trading system.
  - HuobiFeeder - Connect HUOBIPRO exchange, get market/historical data for ABAT trading platform backtest/analysis and live trading.
  - ctpwrapper - Shanghai future exchange CTP api.
- Framework
  - tf-quant-finance - High-performance TensorFlow library for quantitative finance.
- Visualizing
  - playground - Play with neural networks.
  - netron - Visualizer for deep learning and machine learning models.
- GYM Environment
  - TradingGym - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
  - TradzQAI - Trading environnement for RL agents, backtesting and training.
  - btgym - Scalable, event-driven, deep-learning-friendly backtesting library.
Articles
- GYM Environment
  - The-Economist - The Economist 经济学人，持续更新.
  - nyu-mlif-notes - NYU machine learning in finance notes.
  - Using LSTMs to Turn Feelings Into Trades
  - Maury Osborne和三文鱼的故事
  - 布朗运动、伊藤引理——细说Black-Scholes公式的前世今生（上篇）
  - 布朗运动、伊藤引理——细说Black-Scholes公式的前世今生（下篇）
Others
- GYM Environment
  - zipline-tensorboard - TensorBoard as a Zipline dashboard http://jimgoo.com/tensorboard-and-zip.
  - gekko-quasar-ui - An UI port for gekko trading bot using Quasar framework.
  - Awesome-Quant-Machine-Learning-Trading - Quant/Algorithm trading resources with an emphasis on Machine Learning.
  - awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance).
  - awesome-quant-china - Quant resource in china.
  - awesome-rl
Papers
- THE THEORY OF SPECULATION L. BACHELIER 1900 - The influences which determine the movements of the Stock Exchange are.
- Brownian Motion in the Stock Market Osborne,1959 - Events past, present or even anticipated, often showing no apparent.
- An Investigation into the Use of Reinforcement Learning Techniques within the Algorithmic Trading Domain(2015)
- A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
- Dragon-Kings, Black Swans and the Prediction of Crises Didier Sornette - We develop the concept of “dragon-kings” corresponding to meaningful outliers, which are found to coexist with power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems.
- Financial Trading as a Game: A Deep Reinforcement Learning Approach - An automatic program that generates constant profit from the financial market is lucrative for every market practitioner. Recent advance in deep reinforcement learning provides a framework toward end-to-end training of such trading agent.
- MACHINE LEARNING FOR TRADING - With an appropriate choice of the reward function, reinforcement learning techniques (specifically, Q-learning) can successfully handle the risk-averse case.
- Ten Financial Applications of Machine Learning (Seminar Slides) (2018)
- Dragon-Kings, Black Swans and the Prediction of Crises Didier Sornette - We develop the concept of “dragon-kings” corresponding to meaningful outliers, which are found to coexist with power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems.

Programming Languages

Python 37 Jupyter Notebook 16 JavaScript 14 TypeScript 3 HTML 2 Perl 2 C++ 2 Vue 1 R 1 C 1

Ecosyste.ms: Awesome

awesome-ai-in-finance

Courses & Book

Strategies & Research

Time Series Data

Portfolio Management

High Frequency Trading

Event Drive

Crypto Currencies Strategies

Technical Analysis

Lottery & Gamble

Arbitrage

Data Sources

Arbitrage

Research Tools

Arbitrage

Trading System

Traditional Market

Crypto Currencies

TA Lib

Crypto Currencies

Exchange API

Crypto Currencies

Framework

Visualizing

GYM Environment

Articles

GYM Environment

Others

GYM Environment

Papers