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What I learn from CQF program
CQF Jan25 in-class Python practices
Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data cra…
afcarl / web-scraping-1
Forked from je-suis-tm/web-scrapingPython web scrapers on commodity future exchanges including CME, LME, SHFE and influential media websites including BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, F…
Certificate in Quantitative Finance labs and notebooks
The CQF resources and my learning records
Certified in Quantitative Finance (CQF) program lead by CQF Institute & Fitch Learning.
A new markup-based typesetting system that is powerful and easy to learn.
This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). The codes are organized by class, facilitating navigation and reference.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Python library for portfolio optimization built on top of scikit-learn
A dockerized Jupyter quant research environment.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An elegant PyTorch deep reinforcement learning library.
100-Digit Competition. This folder includes GECCO 2019 and SEMCCO 2019 too, in addition to CEC 2019
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Practice questions for the quantitative finance interview.
Seamless operability between C++11 and Python