Aloha TimescaleDB community from Hawaii!Complete beginner to TimescaleDB here; developing a cryptocurrency analytics application.Context:
We are attempting to store open, high, low, close, volume data in addition to 190 technical indicators (RSI, MACD, Fibonacci pivots, etc.) for over 500 different assets across 7 timeframes.Use case:
Use ML to identify patterns in price action
Apply AI models leveraging RAG architecture to keep context of all timeframes in modelingQuestion:
Using Timescale’s architecture of Hypertables and Chunks what’s the best way to organize this? I’m at a bit of a loss as how to keep things organized, I would like to keep things in one place; especially since we would like our models to keep context of various time frames.
- Should each timeframe be it’s own hypertable?
- Or should each timeframe be it’s own separate database?
I hope this makes sense! Forgive me for my lack of understanding! Look forward to your responses, deeply appreciate the time you take to help me out in advanced.
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