Trading Simulator Roadmap

Planned Features

• Set up API for data retrieval on separate server: Host the API on an external virtual machine (e.g., DigitalOcean) for demonstration purposes.
• Automatic deployment to: Automate deployment to Heroku using CI/CD pipelines.
• Pre-compute indicator values: Currently, every indicator is being computed at request time. In the current setup, it could be pre-computed which on compute and slightly inreases storage. Also, the library TA-lib, used for the indicators, can be omitted in the Docker build step. This would solve two problems in one go.
• Remove low quality data: Currently, there are stock datasets included with low quality data. For demo purposes, filtering the data could be done using several techniques such as outlier detection (e.g.: spikes), unusual/illogical price pattern detection (e.g.; "close" candle < "low" candle), etc. This would result in gapped datasets, which would be unacceptable in certain non-demo scenario's.