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An event-driven backtesting engine designed to simulate algorithmic trading strategies with accounting for slippage, commissions, and risk metrics.
Defensibility
stars
2
This is a personal learning project with minimal traction (2 stars) and no novel features. It follows a standard pattern for event-driven backtesting that is well-documented in quantitative finance tutorials. While it solves a domain-specific problem that frontier labs are unlikely to target directly, it faces heavy competition from mature, industry-standard open-source libraries like Backtrader or Zipline.
TECH STACK
INTEGRATION
library_import
READINESS