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GPU-accelerated Factors analysis library and Backtester
An educational resource to help anyone learn deep reinforcement learning.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A Project to identify statistical arbitrage opportunities between cointegrated pairs. This is referred to as 'Pairs Trading' which is a bet on the mean reversion property of the spread.
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
High performance Transactional Memory for Common Lisp
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/
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock Price Prediction case study using Keras
Stock Trade Analytics leveraging Spark Structured Stream Processing
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Price Action Trading APIs, Algorithmic approach, Dealing with securities. Get APIs to detect candlestick patterns, identify trends, support resistance, and price breakout.
Supervisor process control system for UNIX
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Technical Analysis Library using Pandas and Numpy
Productive & portable high-performance programming in Python.
Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API, and allows users to build data pipelines for the Streaming API.
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrations, 3D shapes, spaces of images patches
Python interface to TD Ameritrade (https://developer.tdameritrade.com)
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Multiple implementations for abstractive text summurization , using google colab
Passive Investing for the Average Joe
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Book and code for Think Complexity, 2nd edition
Text and supporting code for Think Stats, 2nd Edition
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Backend core needed for automated trading
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.