ArticleInside BatchBacktesting: parallel runs, explicit assumptions and useful outputsOct 20, 2026Reading BatchBacktesting’s Python engine: worker pools, 0.2% commission, strategy defaults, CSV outputs and pitfalls in aggregate analysis.
ArticleBacktestingindicatorsmany tickers, one strategyMultiple Technical Indicators Backtesting on Multiple Tickers using PythonMay 30, 2024Scaled BatchBacktesting across stocks and crypto — reading aggregate leaderboards without mistaking screening for a strategy.
ArticleExperimenting with technical indicators using Python and backtestingMay 14, 2024BatchBacktesting with an EMA strategy on the S&P 500 and crypto: the code, the leaderboard, and how to read extreme returns.
ArticlePredicting Stock Prices with Monte Carlo SimulationsMay 14, 2024Forward Monte Carlo bands for AAPL from historical log returns — hold-out coverage, percentiles, and how that differs from MCMC.