algorithmictradinglstm Goto Github PK

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

algorithmic-trading

Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.

algorithmic_stock_trader

Simulates stock market trading with an emphasis on automated trading.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deep-trading

Algorithmic trading with deep learning experiments

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.

githubparticipantes

Repositorio de trabajo de los integrantes de la comunidad Data Science Research Perú

high-frequency-trading-model-with-ib

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

ib_trader

autotrading tool

korea_stock_market_crawler

Crawling KOSPI and KOSDAQ stock price from Naver Stock

krypto-trading-bot

Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++

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

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

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

machinelearningstocks

Using python and scikit-learn to make stock predictions

microtrader

A fictitious stock trading microtrader application

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

ninjatrader-bitmex

Releases of the BitMEX <-> NinjaTrader Adapter.

pairs-trading

Code for researching and backtesting pairs trading

pattern-recognition-for-forex-trading

http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/

predicting-stock-prices-with-linear-regression

quant_sentiment_algo

Quantatative Trading Algorithm based on sentiment analysis of recent news.

r-stockprediction

random-portfolio-vs-benchmark-strategy-master

Random-Portfolio-vs-Benchmark-Strategy

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

robinhood-node

:chart_with_upwards_trend: NodeJS client for Robinhood Trading :fire:

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/