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how to start with quant search
powerful ai-copilot for quant traders and researchers
This example shows how to use neural networks for writing a trading system on stocks.
Several python based Algos for algorythmic trading formerly on the Quantopian platform
Quantitative analysis, strategies and backtests
Portfolio analytics for quants, written in Python
Regression on tabular data
Tutorials and programming exercises for learning Q# and quantum computing
QuTiP: Quantum Toolbox in Python
Julia and Python recursion algorithm, fractal geometry and dynamic programming applications including Edit Distance, Knapsack (Multiple Choice), Stock Trading, Pythagorean Tree, Koch Snowflake, Jerusalem Cross, Sierpiński Carpet, Hilbert Curve, Pascal Triangle, Prime Factorization, Palindrome, Egg Drop, Coin Change, Hanoi Tower, Cantor ci
Reinforce Trader is a trading journal app to provide a solution for traders to track analyse and improve their trading strategies.
Contains all the Jupyter Notebooks used in our research
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Financial AI with Julia
Loose collection of Jupyter notebooks, mostly for my blog
Crypto Trading Engineering: Scalable Backtesting Infrastructure
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
As a researcher, I found myself looking for research on topics that interest me. This code will help manage the list of studies and even summarize them.
Seamlessly integrate LLMs into scikit-learn.
Fully automated trading application with multiple brokers support using Node JS
Algo trade project in python
the strategy of selecting stocks by industry
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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.