backend redesign

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# Data Sources and ETL
We'll use Pandas and ArcticDB as our data foundation. This gives easy access to numpy and a wide spectrum of Python analysis libraries.
ArcticDB
[ArcticDB](https://arcticdb.com/)
We'll use unstructured dynamic schemas for flexibility and ad-hoc adjustment by the assistant.
## Canonical Formats
* OHLCV
* columns
* open_time high_time etc optional columns
* Tick Data (later not now)
* Order Book Data (later not now)
## Symbol Definition
Symbols must follow a canonical formatting that provides a unique string identifier:
type|...(type dependent)...
ohlc|exchange:base/quote