Graphical representation of buy/sell history using matplotlib
FUTURE
More technicals computed rather than just P/L
MAYBE?
None
Live Execution
CURRENT
None
FUTURE
Websockets on Alpaca API market data calls
Use a singular call with all tickers (comma separated) instead of calls on each eventloop for each ticker
MAYBE?
gRPC, Redis use between ML API and Runtime Engine
UI
CURRENT
Improve CLI styling
FUTURE
TUI Client
Using Rich
Live dashboard monitoring logging, account and data information
Filter between stocks, logs, and more
JSON builder
some sort of graphical interactive way to build JSONs rather than having to type them out manually
DSL Validator
Validate user JSONs before accepting/parsing them
MAYBE?
None
Risk Module
CURRENT
Implement MVP
FUTURE
Prevent negative shares to go through (why does Alpaca allow you to sell more than you have? Maybe its shorts?)
Increase buy/sell signal strictness; implement sensitivity control for order sizing
MAYBE?
None
Other
Support for more technical indicators / features
Current
EMA
SMA
Deltas (and Difference of Deltas)
Future
RSI
MACD
Bollinger Bands
Long Term Improvements
YFinance DataFrames only go down to the minute, so if someone wants to train an ML model on 1-sec data for example we need to make a logger in go that just takes the bars at some interval and then write as a csv to another file (with buffering) so then we can just make it a DataFrame back in python
Pytorch is a NN how do we convert training DFs to be used in NN objects?
Maybe move to a conventional front end using React instead of a TUI (like a SaaS wrapper)