Grafico MACD e prezzo

import requests

import matplotlib.pyplot as plt

import pandas as pd

import numpy as np

from datetime import datetime

def get_binance_data(symbol, interval, limit):

    url = f"https://api.binance.com/api/v3/klines?symbol={symbol}&interval={interval}&limit={limit}"

    response = requests.get(url)

    data = response.json()

    df = pd.DataFrame(data)

    df.columns = ['timestamp', 'open', 'high', 'low', 'close', 'volume', 'close_time', 'quote_asset_volume', 'number_of_trades', 'taker_buy_base_asset_volume', 'taker_buy_quote_asset_volume', 'ignore']

    df['timestamp'] = pd.to_datetime(df['timestamp'], unit='ms')

    df['close'] = df['close'].astype(float)

    return df

def calculate_moving_average(data, window):

    return data['close'].rolling(window=window).mean()

def calculate_macd(data, fast_period, slow_period, signal_period):

    macd = data['close'].ewm(span=fast_period, adjust=False).mean() - data['close'].ewm(span=slow_period, adjust=False).mean()

    signal = macd.ewm(span=signal_period, adjust=False).mean()

    histogram = macd - signal

    return macd, signal, histogram

def plot_chart(data, ma_50, ma_99, macd, signal, histogram):

    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, figsize=(12, 8))

    ax1.plot(data['timestamp'], data['close'], label='Close')

    ax1.plot(data['timestamp'], ma_50, label='MA 50')

    ax1.plot(data['timestamp'], ma_99, label='MA 99')

    ax1.legend()

    ax2.plot(data['timestamp'], macd, label='MACD')

    ax2.plot(data['timestamp'], signal, label='Signal')

    ax2.bar(data['timestamp'], histogram, label='Histogram', color='gray')

    ax2.legend()

    plt.xlabel('Timestamp')

    plt.show()

symbol = 'BTCUSDT'

interval = '1d'

limit = 500

data = get_binance_data(symbol, interval, limit)

ma_50 = calculate_moving_average(data, 50)

ma_99 = calculate_moving_average(data, 99)

macd, signal, histogram = calculate_macd(data, 12, 26, 9)

plot_chart(data, ma_50, ma_99, macd, signal, histogram)