import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import yfinance as yf
# Stock data download (for example, Apple stock)
stock_symbol = 'AAPL'
data = yf.download(stock_symbol, start='2020-01-01', end='2025-01-01')
# Calculate Short and Long Moving Averages
short_window = 40
long_window = 100
data['Short_MA'] = data['Close'].rolling(window=short_window, min_periods=1).mean()
data['Long_MA'] = data['Close'].rolling(window=long_window, min_periods=1).mean()
# Generate signals
data['Signal'] = 0
data['Signal'][short_window:] = np.where(data['Short_MA'][short_window:] > data['Long_MA'][short_window:], 1, 0)
data['Position'] = data['Signal'].diff()
# Plotting the data
plt.figure(figsize=(12,6))
plt.plot(data['Close'], label='Close Price')
plt.plot(data['Short_MA'], label=f'{short_window} Days Moving Average')
plt.plot(data['Long_MA'], label=f'{long_window} Days Moving Average')
plt.scatter(data.index[data['Position'] == 1], data['Short_MA'][data['Position'] == 1], marker='^', color='g', label='Buy Signal', alpha=1)
plt.scatter(data.index[data['Position'] == -1], data['Short_MA'][data['Position'] == -1], marker='v', color='r', label='Sell Signal', alpha=1)
plt.title(f'{stock_symbol} Moving Average Crossover Strategy')
plt.legend(loc='best')
plt.show()
import numpy as np
import matplotlib.pyplot as plt
import yfinance as yf
# Stock data download (for example, Apple stock)
stock_symbol = 'AAPL'
data = yf.download(stock_symbol, start='2020-01-01', end='2025-01-01')
# Calculate Short and Long Moving Averages
short_window = 40
long_window = 100
data['Short_MA'] = data['Close'].rolling(window=short_window, min_periods=1).mean()
data['Long_MA'] = data['Close'].rolling(window=long_window, min_periods=1).mean()
# Generate signals
data['Signal'] = 0
data['Signal'][short_window:] = np.where(data['Short_MA'][short_window:] > data['Long_MA'][short_window:], 1, 0)
data['Position'] = data['Signal'].diff()
# Plotting the data
plt.figure(figsize=(12,6))
plt.plot(data['Close'], label='Close Price')
plt.plot(data['Short_MA'], label=f'{short_window} Days Moving Average')
plt.plot(data['Long_MA'], label=f'{long_window} Days Moving Average')
plt.scatter(data.index[data['Position'] == 1], data['Short_MA'][data['Position'] == 1], marker='^', color='g', label='Buy Signal', alpha=1)
plt.scatter(data.index[data['Position'] == -1], data['Short_MA'][data['Position'] == -1], marker='v', color='r', label='Sell Signal', alpha=1)
plt.title(f'{stock_symbol} Moving Average Crossover Strategy')
plt.legend(loc='best')
plt.show()
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, işlem veya diğer türden tavsiye veya tavsiyeler anlamına gelmez ve teşkil etmez. Kullanım Şartları'nda daha fazlasını okuyun.
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, işlem veya diğer türden tavsiye veya tavsiyeler anlamına gelmez ve teşkil etmez. Kullanım Şartları'nda daha fazlasını okuyun.