You’ve watched the market move while you slept — and missed it. You’ve heard that hedge funds and algorithm traders are consistently on the right side of trades, not because they’re smarter, but ...

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Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation challenges that can impact the accuracy and reliability of trading strategy results.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Pete Rathburn is a copy editor and fact-checker with expertise in economics and ...

When backtesting a portfolio strategy, you have to decide how far back to look. Should you use all available data, stretching back decades? Or should you just look at the last few years? There are ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...

Backtesting is now available within tastytrade. Its’ free for account holders, and you can see it here. We think you’ll agree that testing different strategies and seeing how they would have worked is ...