Ryan's starred repositories
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
cointrader
Cointrader is a CLI trading bot for crypto currencies on the Poloniex exchange.
BitcoinTradingAlgorithmToolkit
A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.
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.
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 .
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.
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)