Stock analysis project

Semester-2 project for course CSEN1021, This project is a small interactive web-app for stock analysis, using the Streamlit library for a simple frontend, fetching stock data using the Yfinance library, analyzing the stock data using pandas and plotting graphs using Streamlit plots, Matplotlib, and Seaborn.

Functionality:

• Sidebar used to input stocks and select a time frame along with type of plots (streamlit plots or matplotlib plots).

The stock analysis methods and visualizations are split into 9 tabs which display the visualized data:

• Dashboard:

  • Shows the adjusted closing prices for both stocks along with a metric widget to show the percentage change in the stock that is also color coded and changes based on the positive or negative delta.

  • Shows the volume weighted average price (VWAP) for both stocks with a simple uptrend or downtrend analysis on the parameters of close price being higher or lower than the volume weighted average price.

  • Shows the daily returns of both stocks as a bar chart.

• Closing price:

  • Adjusted closing price of both stocks are plotted seperately and also overlayed for comparison.

• Moving average:

  • The slider is used to selected the parameter for the moving average calculation and the moving average for both graphs is plotted overlayed with the closing price.

  • Checkbox below to calculate multiple moving averages for different time frames can also allow for the calculation and plotting of 3 moving averages with 3 sliders for changing the parameters.

• Stock volume:

  • Volume of both stocks are plotted seperately and also overlayed for comparison.

• Daily return:

  • Daily return of both stocks is calculated and plotted as a scatter plot along with two histograms with bell curves overlaid to check the sharpness of the peak.

• Volume weighted average price:

  • Volume weighted average price of both stocks is calculated and plotted along with the closing price for comparison.

• Correlation:

  • Correlation between two stocks is calculated and represented as Pearson Coefficient(R) along with a joint scatter plot to visualize the correlation.

• Volatility:

  • Stock volatility is calculated and plotted as a line chart seperately and together for comparison.

• Risk and return:

  • Risk and return of both stocks is calculated and plotted using a scatter plot with labels for the stocks.

Project snapshots: