Stock Chart and Plotting Tool

Stock Chart is a simple stock visualization framework developed under Linux environment with CMake and Qt. The tool has been tested for both Linux and Windows.

This project supports the following functions:

• Python:
  • Download stock history data from Yahoo Finance as CSV file.
  • Calculate and save stock prices and indicators as CSV file including:
    • Prices: Open, High, Low, Close, Adj Close
    • Volume
    • Moving Average (MA): 5, 10, 20, 30, 60, 120 days
    • Exponential Moving Average (EMA): 5, 10, 20, 30, 60, 120 days
    • Moving Average Convergence Divergence (MACD)
    • BOLLinger bands (BOLL)
    • KDJ
    • Relative Strength Index (RSI)
• C++:
  • Load CSV file into Plot and Chart windows
  • Interactive visualizations of different stock prices and indicators in Plot window

Prerequisite

• Python: pandas, stock_pandas, datetime, yfinance
• C++: Qt

Part 1 - Python

1. Run ExportCSV_Python/exportcsv.py to download stock history data with stock symbol, interval, and time range, e.g. Save 1-day "SPX" data between "12/30/1927" and "12/4/2020" to "spx.csv" file. Note that, the stock history data can also be downloaded directly from Yahoo Finance website.
2. Run ExportCSV_Python/readcsv2.py to calculate and save stock and indicators as CSV file, e.g. Save 1-day "SPX" price and indicators to "spxMetric.csv"

Part 2 - C++

1. Run C++ GUI to invoke the Stock Chart and Plotting Tool

2. Under "File" Menu, click "Open .CSV File" and load the "spxMetric.csv" we saved from Python

The tool can then read stock data into the "Stock Plot" and "Stock Table" tabs

3. Under the "Stock Indicators" menu, the user can show/hide different stock indicators in the Plot window.

4. The user can also use mouse wheel and buttons to zoom in and out for a specific date period. The user can also use different combinations of indicators to analyze a stock/index's trend. A few examples below: