Learn¶
kaggle competition: optiver-trading-at-the-close¶
https://www.kaggle.com/competitions/optiver-trading-at-the-close/discussion
7th: https://github.com/nimashahbazi/optiver-trading-close
https://github.com/beingamanforever/Optiver-Trading-at-the-close
blog: https://medium.com/@joehbridges/gauging-the-market-optivers-trading-at-the-close-kaggle-competition-27b73f7789c0
books¶
https://www.oreilly.com/library/view/energy-trading-and/9781118339343/
Energy Trading and Risk Management: A Practical Approach to Hedging, Trading and Portfolio Diversification
Stochastic Modeling of Electricity and Related Markets
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Quantitative Financial Analytics: The Path to Investment Profits
Quantitative Trading: How to Build Your Own Algorithmic Trading Business
Building Winning Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading
Algorithmic Trading: Winning Strategies and Their Rationale
ml design¶
Advances in Financial Machine Learning
https://github.com/doda/advances-in-financial-ml-notes
algorithm trading¶
https://www.linkedin.com/pulse/challenges-algorithmic-trading-short-term-energy-market-ishutin
basic analysis using polars and duckdb:
- https://medium.com/@codewithmuse/41ffb7090a38
blogs¶
https://flex-power.energy/energyblog
https://quantfin.net
repos¶
- https://github.com/tradytics/eiten: Algorithmic Investing Strategies for Everyone