Stock Price Tracker Bot

Overview

A Python-based bot that automates real-time stock price tracking for financial analysis. Fetches historical stock data using the yfinance API, calculates a 7-day moving average for trading insights, stores data in a CSV file, and generates visualizations using Matplotlib. Designed to support trading decision-making by streamlining data collection and analysis.

Features

• Fetches 30 days of stock data (Open, Close, High, Low, Volume) for any valid ticker symbol.
• Computes a 7-day moving average to identify price trends.
• Saves data to a CSV file for persistence and further analysis.
• Generates and saves a plot of closing prices and moving average.

Technologies Used

• Python: Core programming language.
• yfinance: API for fetching stock data.
• Pandas: Data processing and CSV storage.
• Matplotlib: Data visualization.

Installation

1. Clone the repository:

   git clone https://github.com/sethidhruv188/StockPriceTracker.git
   cd StockPriceTracker

2. Install dependencies:

   pip install -r requirements.txt

3. Run the script:

   python StockPriceTracker.py

Usage

1. Run the script and enter a stock ticker (e.g., AAPL for Apple, MSFT for Microsoft).
2. The bot fetches 30 days of stock data, calculates the 7-day moving average, saves the data to {ticker}_stock_data.csv, and generates a plot as {ticker}_stock_plot.png.
3. Example output files:
   • NFLX_stock_data.csv: Contains stock data with moving average.
   • NFLX_stock_plot.png: Visualizes closing prices and moving average.

Sample Output

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Relevance to FinTech

This project demonstrates skills in data analytics, Python, and automation, aligning with financial services needs for real-time trading data analysis and low-latency systems, such as those used at Morgan Stanley.

Future Improvements

• Add support for multiple tickers in a single run.
• Integrate with AWS Lambda for serverless deployment.
• Implement real-time alerts for price thresholds.

Author

Dhruv Sethi | LinkedIn | GitHub