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# utils/plotting.py | |
import matplotlib.pyplot as plt | |
import matplotlib.dates as mdates | |
def plot_stock_data_with_signals(data): | |
""" | |
Plots stock data, indicators, and buy/sell signals. | |
Parameters: | |
- data (DataFrame): DataFrame containing stock 'Close' prices, indicator values, and signals. | |
""" | |
# Create a new figure and set the size. | |
plt.figure(figsize=(14, 10)) | |
# Plot closing prices and EMAs | |
ax1 = plt.subplot(311) # 3 rows, 1 column, 1st subplot | |
data['Close'].plot(ax=ax1, color='black', lw=2., legend=True) | |
if 'EMA_Short' in data.columns and 'EMA_Long' in data.columns: | |
data[['EMA_Short', 'EMA_Long']].plot(ax=ax1, lw=1.5, legend=True) | |
ax1.set_title('Stock Price, EMAs, and Bollinger Bands') | |
ax1.fill_between(data.index, data['BB_Lower'], data['BB_Upper'], color='grey', alpha=0.3) | |
# Highlight buy/sell signals | |
buy_signals = data[data['Combined_Signal'] == 'buy'] | |
sell_signals = data[data['Combined_Signal'] == 'sell'] | |
ax1.plot(buy_signals.index, data.loc[buy_signals.index]['Close'], '^', markersize=10, color='g', lw=0, label='Buy Signal') | |
ax1.plot(sell_signals.index, data.loc[sell_signals.index]['Close'], 'v', markersize=10, color='r', lw=0, label='Sell Signal') | |
ax1.legend() | |
# Plot MACD and Signal Line | |
ax2 = plt.subplot(312, sharex=ax1) # Share x-axis with ax1 | |
data['MACD'].plot(ax=ax2, color='blue', label='MACD', legend=True) | |
data['MACD_Signal_Line'].plot(ax=ax2, color='red', label='Signal Line', legend=True) | |
ax2.fill_between(data.index, data['MACD'] - data['MACD_Signal_Line'], color='grey', alpha=0.3) | |
ax2.set_title('MACD') | |
# Plot RSI | |
ax3 = plt.subplot(313, sharex=ax1) # Share x-axis with ax1 | |
data['RSI'].plot(ax=ax3, color='purple', legend=True) | |
ax3.axhline(70, linestyle='--', alpha=0.5, color='red') | |
ax3.axhline(30, linestyle='--', alpha=0.5, color='green') | |
ax3.set_title('RSI') | |
# Improve layout and x-axis date format | |
plt.tight_layout() | |
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d')) | |
plt.gca().xaxis.set_major_locator(mdates.DayLocator()) | |
plt.xticks(rotation=45) | |
plt.show() | |
# Note: This is a basic example for visualization. You may need to adjust it based on your actual 'data' DataFrame structure and the specific indicators you are plotting. | |