vectorbt
github.comCompare strategy experiments across assets, parameters and historical periods
Compare strategy experiments across assets, parameters and historical periods
Build trading algorithms with AI, backtest them, then execute on one platform.
Logic, strategy and casual games in a browser
Collect market history and test several strategies in one portfolio
Test sentiment and market rules, then inspect the individual outcomes
Scan markets and test explicit rules in desktop software
Build, test, and automate options trading plans
AI patent agents for prior art, novelty, claim strategy, and patent drafting
Define business metrics once for reuse across reporting tools and AI analysis.
Magic deck strategy, card prices and collection tools
Build event-driven market simulations with a shared strategy engine
Screen fundamentals, visualize metrics and export financial data
Track stock-market events with live alerts and ranked screeners
Build trading tools and examine cBot behaviour on historical data
Build formula screens and examine their historical matches
Cybersecurity news, strategy and professional reporting
Technology strategy, companies and wider ideas
Podcast strategy education for business-led shows
Product strategy, management and operations learning.
A Python property-based testing library that generates inputs to challenge the properties your code should preserve.
Generate trading rules and test how their results withstand changes
Host coded or visual strategies through shared broker connections