3483aaf6d7
- Introduced the CryptoComTrader class to handle WebSocket connections for real-time trading data and operations. - Implemented methods for fetching price, order book, user balance, and placing orders. - Added functionality to retrieve candlestick data and available trading instruments. - Created a main script to initialize the trader, fetch instruments, and display candlestick data in a loop. - Integrated Plotly for visualizing candlestick data, enhancing user interaction and data representation.
85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
import time
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import plotly.graph_objs as go
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import plotly.io as pio
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from cryptocom_trader import CryptoComTrader
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def plot_candlesticks(df):
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if df.empty:
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print("No data to plot.")
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return None
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# Convert columns to float
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for col in ['open', 'high', 'low', 'close', 'volume']:
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df[col] = df[col].astype(float)
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# Plotly expects datetime for x-axis
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fig = go.Figure(data=[go.Candlestick(
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x=df['timestamp'],
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open=df['open'],
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high=df['high'],
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low=df['low'],
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close=df['close'],
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increasing_line_color='#089981',
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decreasing_line_color='#F23645'
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)])
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fig.update_layout(
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title='BTC/USDC Realtime Candlestick (1m)',
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yaxis_title='Price (USDC)',
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xaxis_title='Time',
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xaxis_rangeslider_visible=False,
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template='plotly_dark'
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)
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return fig
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def main():
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trader = CryptoComTrader()
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pio.renderers.default = "browser" # Open in browser
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# Fetch and print BTC/USDC-related instruments
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instruments = trader.get_instruments()
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btc_usdc_instruments = [
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inst for inst in instruments
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if (
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('BTC' in inst.get('base_ccy', '') or 'BTC' in inst.get('base_currency', '')) and
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('USDC' in inst.get('quote_ccy', '') or 'USDC' in inst.get('quote_currency', ''))
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)
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]
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print("BTC/USDC-related instruments:")
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for inst in btc_usdc_instruments:
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print(inst)
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# Optionally, show balance (private API)
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try:
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balance = trader.get_balance("USDC")
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print("USDC Balance:", balance)
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except Exception as e:
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print("[WARN] Could not fetch balance (private API):", e)
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all_instruments = trader.get_instruments()
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for inst in all_instruments:
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print(inst)
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while True:
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try:
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df = trader.get_candlesticks(timeframe='1m', count=60)
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# fig = plot_candlesticks(df)
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# if fig:
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# fig.show()
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if not df.empty:
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print(df[['high', 'low', 'open', 'close', 'volume']])
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else:
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print("No data to print.")
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time.sleep(10)
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except KeyboardInterrupt:
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print('Exiting...')
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break
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except Exception as e:
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print(f'Error: {e}')
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time.sleep(10)
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if __name__ == '__main__':
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main()
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