Alpha factor resources
The research process requires designing and selecting alpha factors with respect to the predictive power of their signals. An algorithmic trading strategy will typically build on multiple alpha factors that send signals for each asset. These factors may be aggregated using an ML model to optimize how the various signals translate into decisions about the timing and sizing of individual positions, as we will see in subsequent chapters.
Alternative algorithmic trading libraries
Additional open source Python libraries for algorithmic trading and data collection include the following (see GitHub for links):
- QuantConnect is a competitor to Quantopian.
- WorldQuant offers online competition and recruits community contributors to a crowd-sourced hedge fund.
- Alpha Trading Labs offers an s high-frequency focused testing infrastructure with a business model similar to Quantopian.
- The Python Algorithmic Trading Library (PyAlgoTrade) focuses...