Web Application For Finance

Table Of Content

• Demo
• Overview
• Motivation
• Technical Aspects
• Installation
• Execution
• Deployment on Streamlit Cloud
• Technologies Used
• Team
• LICENSE
• DISCLAIMER

Demo

Home Page

News Page

News Feed Example

Asset Analysis Page

Sample Analaysis

Forecasting Page

Forecasts Generating

Forecasts

App link

Overview

This is a web application built extending my final year project. In that only stock price prediction across exchanges is being done. Here features extension have been done by adding functionalities such as desired news feed, stocks and crytpos analysis by providing visuals and data. For stocks data balance sheets,financial statements etc are also returned.

Motivation

An investor never simply invests anywhere they need to do some analysis, stay updated with the news such as what's going on out there and also need to have idea what might the future trend of the asset. With all that in mind this project have been made.

Technical Aspects

Whole project is written using only python programming language.

Project Working

The working of the project have 4 pages which are explained one after other in sequence

• Home Page

  • The home page works using 3 libraries. The streamlit library is for providing user interface of the page. The streamlit_lotte is for the GIF on the page. And requests have been used for the web requests purposes such as getting the yoututube video. Upon signing on user lands on the news feed page.

• News Page
  Here user can get various kinds of news based on the requirements. The news types are divided into 3 types which are explained below

  • International News : In this user gets international news based on the prefernce of the category selected.
  • Local News : In this users gets news related to India based on the selected category.
  • Particular News : This is if a user wants to read particular news then they can search for that using it.

• Analysis Page

  • Here users can get the information and insights about the stocks and crypto currencies.

• Forecasting Page

  • Fetching Data : Program takes the user inputs such as the stock exchange, company name and forecast interval. yFinance library is used to fetch the data of the stock. By default we are taking only 5 years of data of a stock for prediction

  • Preprocessing Data : Upon fetching data we need to preprocess it.We are using LSTM as they are suitable for time-series-analysis. So we need to convert the data into LSTM compatible format.

  • Training Model : After preprocessing the data is sent to the model for training it.

  • Generating forecasts and displaying : After training the past data is used to forecast the future values.

Installation

The Code is written in Python 3.10. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

Execution

streamlit run appName.py

Deployment on Streamlit Cloud

• Create an account on streamlit
• Connect your github account with the streamlit account.
• Create an app by selecting the respective settings such as repository, path of the code etc.

Note: For guidance check here

Technologies Used

Libraries	Usage
Numpy	Used for numerical computations in python
Pandas	Used for file reading and other operations when working with large data.
Sklearn	This is a machine learning library for python.
Plotly	Interactive data visualization library
TensorFlow	Deep Learning library from which model has been built
Streamlit	Framework for providing interface of the web app
Datetime	For datetime operations
yFinance	For fetching stock data
Streamlit Lottie	Used for generating gifs on the web pages
Requests	Used during for fetching the data from web
Wikipedia	To get information about a topic from wikipedia
News Api	This is an api used for getting the news feed from newsapi website.

Team

P. Sandeep Murthy

LICENSE

MIT LICENSE

Disclaimer

• The video in the home page used for telling the importance of Investment is used just for educational purposes. This is not promotion of Edelweiss as it is taken for educational purposes only.
• The predictions being done here are not for financial purposes rather they are just for demonstration purposes.