But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...

At HIDDY Lab, I am building and testing a US stock paper trading BOT using Python and the moomoo API. In my previous articles, I have written that looking at win rates alone is not enough when ...

# This tutorial shows some of the features of *backtesting.py*, a Python framework for [backtesting](https://www.investopedia.com/terms/b/backtesting.asp) trading ...

Hot Money Trading Models is a Python research repository for studying short-term A-share market behavior, especially sector rotation, limit-up effects, strong-stock pullbacks, first-board continuation ...

AI is quickly becoming part of the trader’s toolkit. Not because it can magically predict every market move, but because it can help traders work faster, screen more markets, test ideas, organise risk ...

I want to run my own business! I don't want to be tied down by a company! I'm 'Boo-chan,' and I'm working day and night, through trial and error, to launch a startup with that single-minded focus. My ...

The applications for generative AI and other forms of the emerging technology are opening up new ways for its use in investing. Now, investors are not only looking for companies that could make a ...

Bloomberg has released a new product aimed specifically at the quant community. Quants and python proficient employees can ...

This guide explains how to compare backtests with real trading results and what differences matter most in evaluation.

Automated trading platforms, also known as algorithmic trading platforms, have become increasingly popular in recent years among traders and investors in Australia. These platforms allow users to ...