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https://harvard-iacs.github.io/2019-CS109A/
Harvard Fall 2019 Applied Math 207 Advanced Methods for Analysis, Inference and Optimization (Dr. Weiwei Pan)
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Baruch MFE program quant lab
Analyze central bank announcements
arbitrage strategy speed test
an Open Course Platform for Stanford CS224n (2020 Winter)
US Treasuries Yield Curve Data
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using FOMC - the US Federal Reserve Bank - meetings minutes.
fx trading research
✍️ A carefully curated list of NLP paper summaries
An Structural Application of Reinforcement Learning in Pair Trading
A library for sentiment analysis in dictionary framework.
Systematic Trading in python
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Python version of Dr. Ernie Chan's Matlab code and some inspired from Robert Carver's, plus some raw data downloaders
Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques
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.
A stock trading bot powered by Trump tweets
investigating the effect of Donald J. Trump's tweets on the market
Topics and Sentiment in Financial Markets from Twitter
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.