Introduction to risk management with PyFolio
Having a risk management system is a fundamental part of having a successful algorithmic trading system.
Various risks are involved in algorithmic trading:
- Market risk: While all strategies lose money at some point in their life cycle, quantifying risk measures and ensuring there are risk management systems in place can mitigate strategy losses. In some cases, bad risk management can increase trading losses to an extreme and even shut down successful trading firms completely.
- Regulatory risk: This is the risk that stems from either accidentally or intentionally violating regulations. It is designed to enforce smooth and fair market functionality. Some well-known examples include spoofing, quote stuffing, and banging the close.
- Software implementation risk: Software development is a complex process and sophisticated algorithmic trading strategy systems are especially complex. Even seemingly minor software bugs can lead...