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