A lightweight Python wrapper for accessing the AlgoGators database .
Project description
Internal Data Analytics Toolkit
The algodata-wrapper is a library that facilitates data extraction by enabling users to use Python code rather than PG Admin SQL queries to access data from the PostgreSQL server.
Database Structural Requirements
- The futures_data.ohlcv_1d table must have a
'symbol'column where symbols follow the following format:[ROOT].[ROLL_RULE].[RANK](ex:'6C.v.0') - The global_macro_data schema must have the following tables:
consumer_confidencegdpindustrial_productioninflationtrade_balance
- Each table must have a
'time'column in datetime formatting (ex:"2025-02-13 00:00:00+00") - Each asset class schema must be follow the naming convention
ASSET_CLASS_data(ex:futures_data) - All futures contracts follow a Sunday-Friday trading schedule except the following livestock futures:
'GF.v.0','HE.v.0','LE.v.0'
Access Prerequisites
Users must create a .env file with the following structure:
DB_NAME=XXXXXXXX
DB_USER=XXXXXXXX
DB_PASSWORD=XXXXXXXX
DB_HOST=XXXXXXXX
DB_PORT=XXXXXXXX
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