Pinned Repositories
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
ECR-High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
ECR-Pattern-Recognition-for-Forex-Trading
Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).
ECR-Tensorflow-for-Stock-Prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
LSTM-GA-StockTrader
A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods
LSTM-Neural-Network-for-Time-Series-Prediction-master
LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Random-Portfolio-vs-Benchmark-Strategy-master
Random-Portfolio-vs-Benchmark-Strategy
stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
trading-with-python
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
Algorithmic Trading & Machine Learning's Repositories
algorithmictradinglstm/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
algorithmictradinglstm/LSTM-Neural-Network-for-Time-Series-Prediction-master
LSTM Neural Network for Time Series Prediction (master): LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
algorithmictradinglstm/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
algorithmictradinglstm/stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
algorithmictradinglstm/ECR-Pattern-Recognition-for-Forex-Trading
Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).
algorithmictradinglstm/Random-Portfolio-vs-Benchmark-Strategy-master
Random-Portfolio-vs-Benchmark-Strategy
algorithmictradinglstm/trading-with-python
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
algorithmictradinglstm/ECR-High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
algorithmictradinglstm/ECR-Tensorflow-for-Stock-Prediction
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
algorithmictradinglstm/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
algorithmictradinglstm/Deep-Trading
Algorithmic trading with deep learning experiments
algorithmictradinglstm/ninjatrader-bitmex
Releases of the BitMEX <-> NinjaTrader Adapter.
algorithmictradinglstm/stock_market_indicators
A small Python library with most common stock market indicators
algorithmictradinglstm/StockPrediction_Transformer
Intra day Stock Prediction 10 minutes into the future
algorithmictradinglstm/GithubParticipantes
Repositorio de trabajo de los integrantes de la comunidad Data Science Research Perú
algorithmictradinglstm/Krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++
algorithmictradinglstm/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
algorithmictradinglstm/MachineLearningStocks
Using python and scikit-learn to make stock predictions
algorithmictradinglstm/microtrader
A fictitious stock trading microtrader application
algorithmictradinglstm/Predicting-Stock-Prices-with-Linear-Regression
algorithmictradinglstm/robin_stocks
This is a library to use with Robinhood Financial App. It can be used to buy and sell stocks, get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
algorithmictradinglstm/robinhood-node
:chart_with_upwards_trend: NodeJS client for Robinhood Trading :fire:
algorithmictradinglstm/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
algorithmictradinglstm/Stock-Trading-Visualization
A simple, yet elegant visualization of our stock trading RL agent environment.
algorithmictradinglstm/StockSentimentTrading
Algorithmic Trading using Sentiment Analysis on News Articles
algorithmictradinglstm/streamlit-manizales-tech-talks
algorithmictradinglstm/talks
Collection of material I've used on some of my demos.
algorithmictradinglstm/Trady
Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.
algorithmictradinglstm/trump2cash
A stock trading bot powered by Trump tweets
algorithmictradinglstm/Twitter-and-R-Stock-analysis
This is a sample exercise carried out to analyze Indian Stock market data using R and Twitter