35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
# visualization/plotting.py
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import time
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from IPython.display import clear_output #to clear output each time we plot
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def plot_live_data(candles, trade_history):
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clear_output(wait=True) # Clear previous plot
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# Extract data for plotting
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times = [candle['timestamp'] for candle in candles]
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close_prices = [candle['close'] for candle in candles]
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# Create the figure and axes
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fig, ax = plt.subplots(figsize=(12, 6))
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ax.plot(times, close_prices, label="Close Price", color='blue')
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# Plot trade signals
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buy_times = [trade['time'] * 1000 for trade in trade_history if trade['type'] == 'buy']
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buy_prices = [trade['price'] for trade in trade_history if trade['type'] == 'buy']
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sell_times = [trade['time'] * 1000 for trade in trade_history if trade['type'] == 'sell']
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sell_prices = [trade['price'] for trade in trade_history if trade['type'] == 'sell']
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ax.scatter(buy_times, buy_prices, color='green', marker='^', label='Buy')
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ax.scatter(sell_times, sell_prices, color='red', marker='v', label='Sell')
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# Format the plot
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ax.set_xlabel('Time')
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ax.set_ylabel('Price')
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ax.set_title('Live Trading Data with Signals')
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ax.legend()
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ax.grid(True)
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plt.tight_layout()
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plt.show() |