An open API service indexing awesome lists of open source software.

https://github.com/kshula/monetary-policy-ai-app

Monetary Policy AI App
https://github.com/kshula/monetary-policy-ai-app

Last synced: 3 months ago
JSON representation

Monetary Policy AI App

Awesome Lists containing this project

README

          

# Monetary Policy AI App
![Monetary Policy AI App](images/pro.jpg)

Welcome to the Monetary Policy AI App! This application provides tools for analyzing monetary policy data, visualizing yield curves, predicting committee decisions, and more.

## Table of Contents

- [Features](#features)
- [Getting Started](#getting-started)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Usage](#usage)
- [Running the App](#running-the-app)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)

## Features

- **Yield Curve Analysis:** Explore and analyze yield curves over time.
- **Bonds & Treasury Bill Visualization:** Visualize data related to bonds and treasury bills.
- **Interest Rate Trends:** Track lending rate, inflation, lending margin, interbank rate, and base rate.
- **Statistics:** View statistical summaries and correlation heatmaps.
- **MPC Prediction:** Predict Monetary Policy Committee (MPC) decisions using machine learning.

## Getting Started

### Prerequisites

Before running the app, ensure you have the following installed:

- Python 3.x
- Pip (Python package installer)

### Installation

1. Clone the repository:

```bash
git clone https://github.com/kshula/monetary-policy-ai-app.git

2. Navigate to the project directory:
Navigate to the project directory:

```bash
cd monetary-policy-ai-app

3. Install dependencies:

```bash
pip install -r requirements.txt

### Usage
Running the App
Execute the following command in your terminal:

```bash
streamlit run monetary.py

Open your web browser and go to http://localhost:8501.

Explore the different pages and functionalities of the app.

### Contributing
Feedback and contributions welcome.

### License
This project is licensed under the MIT License.

### Contact
For any inquiries or feedback, please contact:

Kampamba Shula

Email: kampambashula@gmail.com

LinkedIn: https://www.linkedin.com/in/kampamba-shula-03946633/

GitHub: https://github.com/kshula