T

python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Define the moving averages parameters
short_ma_period = 10 # Shorter moving average period
long_ma_period = 30 # Longer moving average period

# Generate random price data (replace with your own data)
price_data = np.random.randint(low=90, high=110, size=100)

# Create a DataFrame with the price data
df = pd.DataFrame({'Price': price_data})

# Calculate the moving averages
df['Short MA'] = df['Price'].rolling(window=short_ma_period).mean()
df['Long MA'] = df['Price'].rolling(window=long_ma_period).mean()

# Generate buy and sell signals
df['Signal'] = np.where(df['Short MA'] > df['Long MA'], 1, -1)

# Generate the chart
plt.plot(df['Price'], label='Price')
plt.plot(df['Short MA'], label=f'Short MA ({short_ma_period})')
plt.plot(df['Long MA'], label=f'Long MA ({long_ma_period})')
plt.plot(df.loc[df['Signal'] == 1, 'Price'], 'go', label='Buy Signal')
plt.plot(df.loc[df['Signal'] == -1, 'Price'], 'ro', label='Sell Signal')
plt.legend()
plt.title('Moving Average Trading Strategy')
plt.xlabel('Time')
plt.ylabel('Price')
plt.show()