# Created: 20250103

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml312-2024; pyv: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct  4 2024, 13:27:36) [GCC 11.2.0]'

print(pyu.ps2("requests"))

requests==2.32.3

import yfinance as yf
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Step 2: Calculate A/D Line
def calculate_ad_line(data):
    # Calculate Money Flow Multiplier (MFM)
    mfm = ((data['Close'] - data['Low']) - (data['High'] - data['Close'])) / (data['High'] - data['Low'])
    mfm = mfm.fillna(0)  # Handle division by zero or missing data

    # Calculate Money Flow Volume (MFV)
    mfv = mfm * data['Volume']

    # Calculate A/D Line
    data['A/D Line'] = mfv.cumsum()

    return data

def show_graph(symbol):

    # Step 1: Download historical data
    start = "2020-01-01"
    end = "2024-12-31"
    data = yf.download(symbol, start=start, end=end)

    # Apply the A/D Line calculation
    data = calculate_ad_line(data)

    # Step 3: Plot A/D Line
    plt.figure(figsize=(14, 7))

    # Plot Close Price
    plt.subplot(2, 1, 1)
    plt.plot(data['Close'], label='Close Price', color='blue')
    plt.title(f'{symbol} Close Price')
    plt.xlabel('Date')
    plt.ylabel('Price')
    plt.legend()
    plt.grid(True)

    # Plot A/D Line
    plt.subplot(2, 1, 2)
    plt.plot(data['A/D Line'], label='A/D Line', color='green')
    plt.title('Accumulation/Distribution Line (A/D Line)')
    plt.xlabel('Date')
    plt.ylabel('A/D Value')
    plt.legend(loc='best')
    plt.grid(True)

    plt.tight_layout()
    plt.show()

show_graph("AMZN")

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