DeepMindv2

algotrading

Algorithmic trading framework for cryptocurrencies.

LSTM-Crypto-Price-Prediction

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

stocklook

crypto currency library for trading & market making bots, account management, and data analysis

cointrader

Cointrader is a CLI trading bot for crypto currencies on the Poloniex exchange.

pytrader

PyTrader - Python-based crypto trading bot

BitcoinTradingAlgorithmToolkit

A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.

CryptoBot

High(ish) frequency trading bot for cryptocurrencies, using Machine Learning for future price predictions

crypto-arbitrage

Automatic Cryptocurrency Trading Bot using Triangular or Exchange Arbitrages

CryptoTracker

A complete open source system for tracking and visualizing cryptocurrency price movements on leading exchanges

crypto-trader

:moneybag: Cryptocurrency trading bot library with a simple example strategy (trading via Gemini).

cryptocurrency_arbitrage

Automated Trading program that detects pairwise and triangular arbitrage opportunities on altcoin/bitcoin exchanges

Deep-Convolution-Stock-Technical-Analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

DeepRL

Highly modularized implementation of popular deep RL algorithms by PyTorch

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Stock-Price-Specific-LSTM

This is a basic LSTM application on stock (securities) market. The project uses Keras+ Tensorflow.

Time-series-Preprocessing-Studio-in-Jupyter

Time-series Data Preprocessing Studio in Jupyter notebook.

Financial-Time-Series-Lab

This is a financial time series lab in Jupyter notebook. You may treat it as a live cheat sheet.

BackTesting-LowLaterncy

This is a backtesting demo in Python. Different moving average prices are used to make buy and sell decisions. A Jupyter notebook version is for serial mode. while py version is for multiprocessing. A version for GPU has been tried, but not successful.

SectorRotationByRL

This repo is to use deep reinforcement learning to make sector rotation decisions in investment. The code was forked. The results are not good, actually worse than traditional technical analysis.

Stock.AI

This project tries to use AI, specifically reinforcement learning, to manage a stock portfolio. The objective is to be practical. So this is not only a demo of AI application in investment. This project is still at its early days. I will try to complete it in 1 year.

Trading_by_Imitation_Learning

This repo is using imitating learning to optimize portfolio. The code was derived from https://github.com/vermouth1992/drl-portfolio-management .

reaver

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

rewave

Investment_Finance

ml-stock-prediction

A toolset for stock prediction using reinforced learning, including a custom OpenAI environment.

awesome-ai-in-finance

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

DeepLearningInFinance

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)