jglazar / notesLinks
☆120Updated 5 months ago
Alternatives and similar repositories for notes
Users that are interested in notes are comparing it to the libraries listed below
Sorting:
- Implemented Hangman challenge using Trexquant API with 55% accuracy☆33Updated 2 years ago
- Solves Hangman using nltk libraries inspired by Trexquant's Hangman Challenge☆7Updated last year
- World Quant 101 alphas的计算和策略化☆274Updated 8 years ago
- Simple API automation for submitting WorldQuant BRAIN alphas☆106Updated last year
- This is an example of 50 alphas that can pass the correlation test if they are submitted together.☆35Updated last year
- Application guide for top MFE programs☆78Updated last year
- Books for Quant Finance Interviews☆77Updated 9 years ago
- ☆150Updated 2 years ago
- We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.☆162Updated last year
- High frequency factors based on order and trade data.☆50Updated last year
- The CQF resources and my learning records☆161Updated last year
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆140Updated last year
- 本文通过gplearn模型,结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统,主要针对股指期货操作。☆125Updated last year
- This repository hosts my reading notes for academic papers.☆86Updated 3 years ago
- Reimplementation of Paper: (Re-)Imag(in)ing Price Trends☆60Updated 9 months ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆64Updated 4 years ago
- Investment alphas, a concept from finance, measure an investment's risk-adjusted performance relative to a benchmark. A positive alpha in…☆19Updated last year
- Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio…☆111Updated 2 years ago
- Study resources for quantitative finance☆140Updated 3 years ago
- 因子回测框架☆112Updated last year
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆58Updated 4 years ago
- ☆58Updated last year
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆128Updated 4 years ago
- CS7641 Team project☆95Updated 4 years ago
- Mining technical factors based on symbolic regression via genetic algorithm☆181Updated 2 years ago
- HFT signals on GDAX☆99Updated 7 years ago
- Stock factor mining with CNN and GRU.☆57Updated 2 years ago
- Machine learning methods for identifing investment factors☆20Updated 3 years ago
- Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors☆210Updated 9 months ago
- Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado☆60Updated 2 years ago