Bloomberg Data Visualization and Management

Overview

The script utilizes the Streamlit framework for the user interface and Bokeh for data visualization. The primary functionalities include:

• Visualizing Data: The script allows users to visualize historical price data for selected equities over different time frames.

• Adding/Deleting Tickers: Users can add new ticker symbols with corresponding equities and currencies to the CSV file. Additionally, existing ticker symbols can be deleted from the CSV file.

• Automated Data Fetching: The script can be set to run automatically at the first day of the month and every Monday, fetching data from Bloomberg and updating the CSV file.

Requirements

• Python 3.x
• Pandas
• Xbbg
• Requests
• Streamlit

Install the required packages using:

pip install pandas xbbg requests streamlit

Usage

1. Clone the Repository:

   git clone https://github.com/brightcapital/FieldPROJECT.git

2. Run the Script:

   cd FieldPROJECT

   streamlit run data_fetcher_streamlit.py

3. Automated Execution:

   The script is set to run automatically at the first day of the month and every Monday between 20:30 and 20:35. Adjust the scheduling parameters in the script if needed.

Customization

Feel free to customize the script according to your specific requirements. You can modify the data visualization settings, update the input prompts, or extend the functionality as needed.