A comprehensive, professional-grade quantitative trading workshop framework for learning algorithmic trading strategies with Python. aurora-quant-ws/ ├── main.py # CLI entry point ├── README.md # This ...

Every investor has a moment when a brilliant idea pops into their head and they’re suddenly convinced they’ve cracked the market’s secret code. But ideas are cheap, and markets are not, so the real ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Veles introduces updated and more accurate strategy testing tools, marking a significant enhancement to its technological ecosystem for traders and algorithmic strategies. The platform has enhanced ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

A sophisticated, production-ready AI trading bot that combines cutting-edge machine learning models with advanced trading strategies. Built with Lumibot framework for institutional-grade paper trading ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.

Abstract: A principal focus in fuzzy systems research is on maintaining good performance while providing strong explainability, principally by leveraging meaningful sets of human-accessible rules. In ...

Any trader can build a strategy. The real challenge is proving that it works, not just once, but across different market environments, volatility conditions, and timeframes. That’s where backtesting ...

Some serious improvements have been made to tastytrade's backtesting. We now have the ability to test, not just delta, but also: Percentage out-of-the-money Underlying Price Offset Premium So, for ...