Python has become the go-to language for building, testing, and refining algorithmic trading strategies, thanks to its rich ecosystem of libraries and frameworks. From backtesting historical data to ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

bt is currently in alpha stage - if you find a bug, please submit an issue. Read the docs here: http://pmorissette.github.io/bt. The goal: to save quants from re ...

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 ...

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 ...