An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

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 ...

In the fast-paced world of forex trading, success often hinges on preparation and strategy. Backtesting is one of the most effective ways for traders to refine their approaches before putting real ...