StrategyQuant
strategyquant.comGenerate trading rules and test how their results withstand changes
Generate trading rules and test how their results withstand changes
Maintain event-driven Python backtests with the Zipline research model
Develop Python strategies with graphical backtesting and market gateways
Interchain research with dated account histories and contract verification
Current and archive news media with individual licences and tailored subscriptions
Explore historical colour names through swatches and natural examples.
Study an exploratory Python engine for historical equities tests
Georgia historical collections with separate full-text searching
Track company events, filings and niche industry groups
Choose Python research and backtesting engines for the task
History reference supported by timelines, maps and sources
Norwegian type design with language references, character research and essays.
Podcast research for guest pitches and partnerships
Build visual or coded strategies and manage their market data
Searchable primary and secondary British historical works
A Windows usage meter with history export and a small widget
South Carolina reference essays enriched with historical media
Recruit and manage participants for user research
Check the holdings and exposures hidden behind ETF names
Collect notes, web research, tasks, and reference material in a searchable workspace.
Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.