I have been improving my framework and think others may now like it as an R&D environment
It's greatly simplified from my initial work, so I encourage you all to take a look here: https://github.com/Novaleaf/QuantShim
FYI while I initially was attempting a zipline compatable framework, this is now strictly quantopian only.
Here are it's features:
Features
- Detailed order logging
- WorstSpreadSlippage to simulate pessimistic yet realistic order execution
- Strategy framework that's easy to extend
- StrategyPositions: Each strategy can control it's own positions without interfering with other strategy
- Multiple Strategies supported
- StrategyPositions: Each strategy can control it's own positions without interfering with other strategy
- TechnicalIndicators framework that's easy to extend
- State History stored for inspecting previous frames
- StandardTechnicalIndicators provided as example
- State History stored for inspecting previous frames
- Designed for coding via Python Tools for Visual Studio
- simple copy/paste into quantopian to execute
- intelisence for most quantopian internals
- simple copy/paste into quantopian to execute
- Open Source (GPL3)
Here I have attached the latest version, which implements the quantopian 9sector real money strategy as an example: