{"repo":"adamd1985/quant_research","free":true,"listed":false,"github":"https://github.com/adamd1985/quant_research","clone":"git clone https://github.com/adamd1985/quant_research.git","description":"Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.","language":"Jupyter Notebook","stars":113,"topics":["ai","algorithmic-trading","financial-engineering","python","quantitative-finance"],"license":null,"category":"trading","readme_excerpt":"Financial Engineering Articles Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading. Table of Contents - Portfolio Machine Learning Trials Without P-Hacking with Honest PSR, DSR, and SPA Tests Github or Kaggle. - Machine Learning and Stochastic Models for Predicting FOMC Meetings Impact Github or Kaggle. - Building an Equity Universe with Fama-French 5 Factors Github or Kaggle. - Bond Valuations Explained Github or Kaggle. - Basket of Indices Github or Kaggle. - Pairs Trading via Unsupervised Learning Github or Kaggle. - Temporal Convolution Neural Network with Conditioning for Broad Market Signals : Github or Kaggle. - Momentum and Reversion Trading Signals Analysis : Github or Kaggle - Pairs-Trading Strategy Analysis : Github or Kaggle - Oscillators as Technical Trading Signals Analysis : Github or Kaggle - Solving for the Efficient Frontier in Stock Portfolios : Github or Kaggle Dependencies and Datasets requirements.txt was created using: jupyter nbconvert --to script .ipynb & pipreqs --force All financial timeseries datasets are free and available on Yahoo Finance. Usage and Licenses Code and Media All media used (in the form of code or images) are either solely owned by me, acquired through licensing, or part of the Public Domain and granted use through Creative Commons License. CC Licensing and Use This Articles Collection by Adam Darmanin is licensed under Attribution-NonCommercial-ShareAlike 4.0 International","default_branch":null,"files":null,"tree":[],"storefront":"/r/adamd1985","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/adamd1985/quant_research/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}