43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import pandas as pd
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from database.trades import upsert
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trade_data = {
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'Date': ['2024-01-22'],
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'Symbol': ['SPX'],
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'Strategy': ['Iron Condor @ Market Open'],
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'Entry Time': [pd.to_datetime('2024-01-22 09:30:00')],
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'Exit Time': [None],
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'Spreads': [
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[
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{
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'Legs': [
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{'Action': 'BUY', 'Strike': 150, 'Type': 'CALL'},
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{'Action': 'SELL', 'Strike': 155, 'Type': 'CALL'}
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],
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'Open': 1.5
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},
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{
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'Legs': [
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{'Action': 'SELL', 'Strike': 160, 'Type': 'PUT'},
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{'Action': 'BUY', 'Strike': 155, 'Type': 'PUT'}
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],
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'Open': 2.5
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}
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]
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],
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'Profit': [None]
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}
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upsert(pd.DataFrame(trade_data))
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trade_data['Exit Time'] = [pd.to_datetime('2024-01-22 16:00:00')]
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trade_data['Spreads'][0][0]['High'] = 1.5
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trade_data['Spreads'][0][0]['Low'] = 0.0
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trade_data['Spreads'][0][0]['Close'] = 0.0
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trade_data['Spreads'][0][1]['High'] = 2.5
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trade_data['Spreads'][0][1]['Low'] = 0.0
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trade_data['Spreads'][0][1]['Close'] = 0.0
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trade_data['Profit'] = [400.0]
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upsert(pd.DataFrame(trade_data)) |