parrondo

parrondo's Stars

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.8k715274k

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8.3k3891252.9k

• tensortrade-org/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python4.6k2442471k

• AminHP/gym-anytrading

  The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  Language:Python2.2k8898477

• AI4Finance-Foundation/FinRL-Trading

  For trading. Please star.

  Language:Jupyter Notebook2.2k10242758

• VivekPa/AIAlpha

  Use unsupervised and supervised learning to predict stocks

  Language:Python1.7k13329447

• alvarobartt/investpy

  Financial Data Extraction from Investing.com with Python

  Language:Python1.7k59468381

• Ceruleanacg/Personae

  📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

  Language:Python1.4k12825341

• AlgoTraders/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/

  Language:Jupyter Notebook1.1k7310255

• AI4Finance-Foundation/FinRL-Tutorials

  Tutorials. Please star.

  Language:Jupyter Notebook8742762352

• VivekPa/IntroNeuralNetworks

  Introducing neural networks to predict stock prices

  Language:Python743536206

• kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

  Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

  Language:Python6943025220

• alpacahq/Momentum-Trading-Example

  An example algorithm for a momentum-based day trading strategy.

  Language:Python6658340222

• Building-ML-Pipelines/building-machine-learning-pipelines

  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

  Language:Jupyter Notebook5872043252

• QuantConnect/Tutorials

  Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

  Language:Jupyter Notebook55347115216

• QuantConnect/Research

  Open sourced research notebooks by the QuantConnect team.

  Language:Jupyter Notebook5363421170

• Leo4815162342/dukascopy-node

  ✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

  Language:TypeScript394128469

• happynoom/DeepTrade

  A LSTM model using Risk Estimation loss function for stock trades in market

  Language:Python314407141

• happynoom/DeepTrade_keras

  Language:Python2294220121

• norkator/open-intelligence

  Creepy stalking tool to process security camera motion triggered images and sort seen objects in different categories, detect license plates and faces. Has PWA ready web front end. Meant to make property monitoring faster without need to watch video recordings.

  Language:TypeScript1667037

• kstaats/karoo_gp

  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

  Language:Python161284662

• timothyyu/wsae-lstm

  implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

  Language:Jupyter Notebook78102030

• terukusu/download-tick-from-dukascopy

  Python script for downloading tick data from dukascopy.

  Language:Python315014

• sinusgamma/probabilistic_wavenet_fx

  Probabilistic and Directional Relu Wavenet with forex and economic news data

  Language:Jupyter Notebook244013

• nopaixx/MaketsGA

  Hands On Neural Network inside Metatrader

  Language:MQL520307

• FabianStammen/ForexFactoryScraper

  A simple web scraper that downloads all forex calendar data from ForexFactory

  Language:Python15225

• hanielcampos/Stock-Market-RNN-Genetic-Algorithm

  A genetic algorithm that evolves generations of regression neural networks containing a combination of recurrent and dense layers.

  Language:Python8004

• nopaixx/TensorFlow-GeneticsAlgo

  Optimize layers weigth with Genetics Algorithms

  Language:Jupyter Notebook8104

• SaAPro/agent-trading-deep-evolution-strategy

  Python script to train an agent training base on deep evolution strategy learning

  Language:Python6106

• daysleeper1711/fx_calendar

  Feed economic calendar from website dailyfx.com using python

  Language:Python34