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Name: Junyi
Type: User
Location: Singapore
Name: Junyi
Type: User
Location: Singapore
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Showcasing Causality Group's benchmark data through a data loading library and a signal backtesting example.
The CQF program
Collection of notebooks about quantitative finance, with interactive python code.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Google Research
Instrumented Principal Components Analysis
Machine Learning in Asset Management (by @firmai)
Code base for the meta-labeling papers published with the Journal of Financial Data Science
Reject monke. Return to humanity.
Optimizing accuracy and diversity: a multi-task approach to forecast combinations
Kalman Filter, Smoother, and EM Algorithm for Python
Codes for my thesis project: replicating and modifying quant GANs.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Quantitative research and educational materials
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
Notes and exercise attempts for "An Introduction to Statistical Learning"
Contains various data for the stock market and stocks including news, price and fundamentals (ratios)
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
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.