How can trading systems be deployed and managed in a production environment, and what are some best practices for doing so?

Trading systems that use AI and ML models to make trading decisions require deployment and management in a production environment to ensure that they continue to perform effectively over time. Deploying a trading system involves moving it from a development environment to a production environment, where it will be used to make real trades with real money. Managing a trading system involves monitoring its performance, making adjustments as necessary, and ensuring that it continues to meet its performance goals. When deploying a trading system, it is important to consider the hardware and software requirements needed to run the system. The system may require specialized hardware or software, such as GPUs or high-perf....