EOD Historical Data Python Library (Unofficial)

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)

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

 🧪 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.

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.

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

Catalogue data - A Python Scripts to prepare catalogue data

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

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

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.

Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter.
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
PyPSA: Python for Power System Analysis

1 Python for Power System Analysis Contents 1 Python for Power System Analysis 1.1 About 1.2 Documentation 1.3 Functionality 1.4 Example scripts as Ju

758 Dec 30, 2022
Pyspark Spotify ETL

This is my first Data Engineering project, it extracts data from the user's recently played tracks using Spotify's API, transforms data and then loads it into Postgresql using SQLAlchemy engine. Data

16 Jun 09, 2022
Data-sets from the survey and analysis

bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele

1 Jan 26, 2022
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

ZhuSuan is a Python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and

Tsinghua Machine Learning Group 2.2k Dec 28, 2022
This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

📈 Statistical Quality Control 📉 This repo contains a simple but effective tool made using python which can be used for quality control in statistica

SasiVatsal 8 Oct 18, 2022
Bigdata Simulation Library Of Dream By Sandman Books

BIGDATA SIMULATION LIBRARY OF DREAM BY SANDMAN BOOKS ================= Solution Architecture Description In the realm of Dreaming, its ruler SANDMAN,

Maycon Cypriano 3 Jun 30, 2022
Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

John McCambridge 79 Sep 20, 2022
Python Practicum - prepare for your Data Science interview or get a refresher.

Python-Practicum Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the

Jovan Trajceski 1 Jul 27, 2021
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
Bamboolib - a GUI for pandas DataFrames

Community repository of bamboolib bamboolib is joining forces with Databricks. For more information, please read our announcement. Please note that th

Tobias Krabel 863 Jan 08, 2023
Shot notebooks resuming the main functions of GeoPandas

Shot notebooks resuming the main functions of GeoPandas, 2 notebooks written as Exercises to apply these functions.

1 Jan 12, 2022
Show you how to integrate Zeppelin with Airflow

Introduction This repository is to show you how to integrate Zeppelin with Airflow. The philosophy behind the ingtegration is to make the transition f

Jeff Zhang 11 Dec 30, 2022
WithPipe is a simple utility for functional piping in Python.

A utility for functional piping in Python that allows you to access any function in any scope as a partial.

Michael Milton 1 Oct 26, 2021
Exploratory data analysis

Exploratory data analysis An Exploratory data analysis APP TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying artificial

tapiwa chamboko 1 Nov 07, 2021
An Integrated Experimental Platform for time series data anomaly detection.

Curve Sorry to tell contributors and users. We decided to archive the project temporarily due to the employee work plan of collaborators. There are no

Baidu 486 Dec 21, 2022
Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Data Scientist Learning Plan Demonstrate the breadth and depth of your data science skills by earning all of the Databricks Data Scientist credentials

Trung-Duy Nguyen 27 Nov 01, 2022
Exploring the Top ML and DL GitHub Repositories

This repository contains my work related to my project where I scraped data on the most popular machine learning and deep learning GitHub repositories in order to further visualize and analyze it.

Nico Van den Hooff 17 Aug 21, 2022
Maximum Covariance Analysis in Python

xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu

Niclas Rieger 39 Jan 03, 2023
SNV calling pipeline developed explicitly to process individual or trio vcf files obtained from Illumina based pipeline (grch37/grch38).

SNV Pipeline SNV calling pipeline developed explicitly to process individual or trio vcf files obtained from Illumina based pipeline (grch37/grch38).

East Genomics 1 Nov 02, 2021
My first Python project is a simple Mad Libs program.

Python CLI Mad Libs Game My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and R

Carson Johnson 1 Dec 10, 2021