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https://github.com/systemathics/sdk-python

Auto generated stubs for Systemathics Ganymede gRPC APIs (python)
https://github.com/systemathics/sdk-python

analytics backtest daily-data grpc historical-data indicators intraday-data jupyterlab normalized-data python raw-data reference-data tick-data

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Auto generated stubs for Systemathics Ganymede gRPC APIs (python)

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README

        

# About Ganymede

Built as cloud native, Ganymede is a fully managed platform, continuously updated with high-quality, curated,
and cross validated data. Ganymede is purpose built for the financial data markets ever increasing data volumes,
allowing clients to query against large data sets, including tick-by-tick, sampled, daily, corporate actions,
ESG and reference data. Packed with a broad range of analytics, the solution is optimized for fast response times,
supports full order book natively and allows fine grained/customizable trade and quote conditions mapping and filtering.

For further information, please visit [Ganymede home page](https://ganymede.cloud)

# About this project

This project provides up-to-date gRPC clients to access [Ganymede API](https://ganymede.cloud/api-documentation.html)

Latest Python package

[![PyPI version](https://badge.fury.io/py/systemathics.apis.svg)](https://badge.fury.io/py/systemathics.apis)

# About us

[Systemathics](https://systemathics.com) is a French fintech founded in 2008 developing its innovative products with the highest quality standards 100% in France.
Our main mission is to provide global investors with a complete end-to-end solution to systematize alpha generation in a robust way.
From data pre and post trade analysis, back-testing, risk assessment and signal generation to day-to-day execution in production and everything in between.