Skip to main content

High performance asyncio REST client for polygon.io

Project description

upoly

An Asyncio based, high performance, REST client libary for interacting with the polygon REST api.

Requires Python >=3.8,<=3.9

Installation

This library makes use of some high performance packages written in C/Rust (uvloop, orjson) so it may require python-dev on ubuntu or similar on other OS's.

Usage

Reccomend to create a copy of ./env.sample as ./env. Make sure .env is listed in .gitignore.

POLYGON_KEY_ID=REPACEWITHPOLYGONORALPACAKEYHERE

Many alternatives to .env exist. One such alternative is exporting like so:

#!/bin/env bash
export POLYGON_KEY_ID=REPACEWITHPOLYGONORALPACAKEYHERE
# yourscript.py
import pytz
from dotenv import load_dotenv
import pandas as pd

# load Polygon key from .env file
load_dotenv()
# alternatively run from cli with:
# POLYGON_KEY_ID=@#*$sdfasd python yourscript.py

# Not recommend but can be set with os.environ["POLYGON_KEY_ID"] as well

from upoly import async_polygon_aggs


NY = pytz.timezone("America/New_York")

# Must be a NY, pandas Timestamp
start = pd.Timestamp("2015-01-01", tz=NY)
end = pd.Timestamp("2020-01-01", tz=NY)

df = async_polygon_aggs("AAPL", "minute", 1, start, end)

TODO

  • unit tests
  • regression tests
  • integration tests
  • /trade endpoint functionality for tick data

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

upoly-0.1.1.tar.gz (17.7 kB view hashes)

Uploaded Source

Built Distribution

upoly-0.1.1-py3-none-any.whl (18.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page