EOD Historical Data Python Library (Unofficial)

Related tags

Data Analysiseodhistoricaldata
Overview

EOD Historical Data Python Library (Unofficial)

https://eodhistoricaldata.com

Installation

python3 -m pip install eodhistoricaldata

Note

Demo API key below is provided by EOD Historial Data for testing purposes https://eodhistoricaldata.com/financial-apis/new-real-time-data-api-websockets

Usage

None: """Main""" websocket = WebSocketClient( # Demo API key for testing purposes api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="crypto", symbols=["BTC-USD"] #api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="forex", symbols=["EURUSD"] #api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="us", symbols=["AAPL"] ) websocket.start() message_count = 0 while True: if websocket: if ( message_count != websocket.message_count ): print(websocket.message) message_count = websocket.message_count sleep(0.25) # output every 1/4 second, websocket is realtime if __name__ == "__main__": main() "> 
"""Sample script"""

from time import sleep
from eodhistoricaldata import WebSocketClient

def main() -> None:
    """Main"""

    websocket = WebSocketClient(
        # Demo API key for testing purposes
        api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="crypto", symbols=["BTC-USD"]
        #api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="forex", symbols=["EURUSD"]
        #api_key="OeAFFmMliFG5orCUuwAKQ8l4WWFQ67YX", endpoint="us", symbols=["AAPL"]
    )
    websocket.start()

    message_count = 0
    while True:
        if websocket:
            if (
                message_count != websocket.message_count
            ):
                print(websocket.message)
                message_count = websocket.message_count
                sleep(0.25)  # output every 1/4 second, websocket is realtime

if __name__ == "__main__":
    main()
You might also like...
TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data
TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

tedana: TE Dependent ANAlysis TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI)

null 136 Dec 22, 2022
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.

🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python and HoloViz Panel.

Marc Skov Madsen 97 Dec 8, 2022
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.

Tuplex 791 Jan 4, 2023
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
Catalogue data - A Python Scripts to prepare catalogue data

catalogue_data Scripts to prepare catalogue data. Setup Clone this repo. Install

BigScience Workshop 3 Mar 3, 2022
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.

Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc

DAGsHub 359 Dec 22, 2022
A data parser for the internal syncing data format used by Fog of World.
A data parser for the internal syncing data format used by Fog of World.

A data parser for the internal syncing data format used by Fog of World. The parser is not designed to be a well-coded library with good performance, it is more like a demo for showing the data structure.

Zed(Zijun) Chen 40 Dec 12, 2022
Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter.
Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter.

Functional Data Analysis Python package

Grupo de Aprendizaje Automático - Universidad Autónoma de Madrid 184 Dec 27, 2022
Comments
  • Syntax issue with query Parameter in get_calendar_ functions

    Syntax issue with query Parameter in get_calendar_ functions

    Hello,

    When using the get_calendar_XXX, functions we cannot use the query parameters defined by EOD as the word "from" is forbidden by Python, for instance : earning=client.get_calendar_earnings(from='2022-11-01', to='2022-11-30')

    will raise an issue.

    Should I pass the argument differently ?

    opened by ATCBGroup 1
  • dependency on matplotlib but it is not installed with pip

    dependency on matplotlib but it is not installed with pip

    dependency on matplotlib but it is not installed with pip

    [email protected]:~/git/traderai/eod$ cat test.py
from eodhd import APIClient
api = APIClient("DEMO")

    [email protected]:~/git/traderai/eod$ python3 test.py
Traceback (most recent call last):
  File "/home/mshamber/.local/lib/python3.8/site-packages/eodhd/eodhdgraphs.py", line 5, in <module>
    import matplotlib.pyplot as plt
ModuleNotFoundError: No module named 'matplotlib'

    [email protected]:~/git/traderai/eod$ python3 -m pip install eodhd
Requirement already satisfied: eodhd in /home/mshamber/.local/lib/python3.8/site-packages (1.0.8)
Requirement already satisfied: websocket-client==1.3.3 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (1.3.3)
Requirement already satisfied: rich==12.5.1 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (12.5.1)
Requirement already satisfied: websockets==10.3 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (10.3)
Requirement already satisfied: numpy==1.21.6 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (1.21.6)
Requirement already satisfied: pandas==1.3.5 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (1.3.5)
Requirement already satisfied: requests==2.28.1 in /home/mshamber/.local/lib/python3.8/site-packages (from eodhd) (2.28.1)
Requirement already satisfied: commonmark<0.10.0,>=0.9.0 in /home/mshamber/.local/lib/python3.8/site-packages (from rich==12.5.1->eodhd) (0.9.1)
Requirement already satisfied: typing-extensions<5.0,>=4.0.0; python_version < "3.9" in /home/mshamber/.local/lib/python3.8/site-packages (from rich==12.5.1->eodhd) (4.3.0)
Requirement already satisfied: pygments<3.0.0,>=2.6.0 in /home/mshamber/.local/lib/python3.8/site-packages (from rich==12.5.1->eodhd) (2.13.0)
Requirement already satisfied: python-dateutil>=2.7.3 in /home/mshamber/.local/lib/python3.8/site-packages (from pandas==1.3.5->eodhd) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /home/mshamber/.local/lib/python3.8/site-packages (from pandas==1.3.5->eodhd) (2022.5)
Requirement already satisfied: charset-normalizer<3,>=2 in /home/mshamber/.local/lib/python3.8/site-packages (from requests==2.28.1->eodhd) (2.1.1)
Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests==2.28.1->eodhd) (2.8)
Requirement already satisfied: certifi>=2017.4.17 in /usr/lib/python3/dist-packages (from requests==2.28.1->eodhd) (2019.11.28)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3/dist-packages (from requests==2.28.1->eodhd) (1.25.8)
Requirement already satisfied: six>=1.5 in /home/mshamber/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas==1.3.5->eodhd) (1.16.0)
    opened by opme 1
Releases(1.0.8)
Owner
Michael Whittle
Solution Architect
Michael Whittle
GitHub Repository
PyEmits, a python package for easy manipulation in time-series data.

PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial

Thompson 5 Sep 23, 2022
Tools for working with MARC data in Catalogue Bridge.

catbridge_tools Tools for working with MARC data in Catalogue Bridge. Borrows heavily from PyMarc

1 Nov 11, 2021
Kennedy Institute of Rheumatology University of Oxford Project November 2019

TradingBot6M Kennedy Institute of Rheumatology University of Oxford Project November 2019 Run Change api.txt to binance api key: https://www.binance.c

Kannan SAR 2 Nov 16, 2021
This mini project showcase how to build and debug Apache Spark application using Python

Spark app can't be debugged using normal procedure. This mini project showcase how to build and debug Apache Spark application using Python programming language. There are also options to run Spark a

Denny Imanuel 1 Dec 29, 2021
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database

Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it

Battery Intelligence Lab 20 Sep 28, 2022
Template for a Dataflow Flex Template in Python

Dataflow Flex Template in Python This repository contains a template for a Dataflow Flex Template written in Python that can easily be used to build D

STOIX 5 Apr 28, 2022
Repositori untuk menyimpan material Long Course STMKGxHMGI tentang Geophysical Python for Seismic Data Analysis

Long Course "Geophysical Python for Seismic Data Analysis" Instruktur: Dr.rer.nat. Wiwit Suryanto, M.Si Dipersiapkan oleh: Anang Sahroni Waktu: Sesi 1

Anang Sahroni 0 Dec 04, 2021
Import, connect and transform data into Excel

xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the

George Karakostas 1 Jan 19, 2022
Python Package for DataHerb: create, search, and load datasets.

The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.

DataHerb 4 Feb 11, 2022
First steps with Python in Life Sciences

First steps with Python in Life Sciences This course material is part of the "First Steps with Python in Life Science" three-day course of SIB-trainin

SIB Swiss Institute of Bioinformatics 22 Jan 08, 2023
Implementation in Python of the reliability measures such as Omega.

reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:

Rafael Valero Fernández 2 Apr 27, 2022
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 2022
Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas

Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas

Gabriele 3 Jul 05, 2022
TextDescriptives - A Python library for calculating a large variety of statistics from text

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistic

150 Dec 30, 2022
Visions provides an extensible suite of tools to support common data analysis operations

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

168 Dec 28, 2022
Tools for analyzing data collected with a custom unity-based VR for insects.

unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul

Hannah Haberkern 1 Dec 14, 2022
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

Amit Prakash 1 Jan 21, 2022
Extract data from a wide range of Internet sources into a pandas DataFrame.

pandas-datareader Up to date remote data access for pandas, works for multiple versions of pandas. Installation Install using pip pip install pandas-d

Python for Data 2.5k Jan 09, 2023
4CAT: Capture and Analysis Toolkit

4CAT: Capture and Analysis Toolkit 4CAT is a research tool that can be used to analyse and process data from online social platforms. Its goal is to m

Digital Methods Initiative 147 Dec 20, 2022
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

AWS Data Wrangler Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretMana

Amazon Web Services - Labs 3.3k Jan 04, 2023