Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
4 documents
This developer note explains two ways to inspect and work with a trading bot’s strategy tests. It says historical candles collected for backtesting are stored in SQLite files, which can be opened in a database browser to examine the available market data.…
This guide introduces statistical learning through an example of predicting the S&P 500 from company fundamentals. It frames the task as estimating a response from predictor features plus residual error, then distinguishes prediction, which prioritizes…
The document summarizes a study of Alpha101 factors in China’s A-share market and a method for generating additional price-volume signals with genetic programming. It says the authors assessed existing factors using Rank IC, portfolio stratification, and…
This guide explains that a full execution of an OctoBot script strategy can produce a report, and shows how to request report generation at the end of a run. It notes that a display option can open the report in a browser. By default, each report is saved as…