options-automation/trade_report.py

51 lines
1.7 KiB
Python
Raw Normal View History

from database.backtest import backtest_results
from database.procedures import backtest_profit, most_recent_trade_date
from database.trades import trades
symbol = 'SPX'
strategy = '10 Delta Iron Condor'
trade_date = most_recent_trade_date()
print(f'Trade Date: {trade_date}')
trade_data = trades(trade_date)
traded_entry_times = set()
for _, trade in trade_data.iterrows():
entry_time = str(trade["Entry Time"])[-8:]
print(f'Entry Time: {entry_time}')
traded_entry_times.add(entry_time)
spreads = trade['Spreads']
for spread in spreads:
legs = spread['Legs']
open_price = spread['Open']
# Assuming the first leg is always short and the second is long.
short_leg = legs[0]
long_leg = legs[1]
print(f' Short Strike: {short_leg["Strike"]}, Type: {short_leg["Type"]}')
print(f' Long Strike: {long_leg["Strike"]}, Type: {long_leg["Type"]}')
print(f' Opening Price: {open_price}')
backtest_data = backtest_results(symbol, strategy, trade_date)
for _, backtest in backtest_data.iterrows():
entry_time = str(backtest["Entry Time"])[-8:]
if entry_time in traded_entry_times:
print(f'Backtest Entry Time: {entry_time}')
spreads = backtest['Spreads']
for spread in spreads:
legs = spread['Legs']
open_price = spread['Open']
short_leg = legs[0]
long_leg = legs[1]
print(f' Backtest Short Strike: {short_leg["Strike"]}, Type: {short_leg["Type"]}')
print(f' Backtest Long Strike: {long_leg["Strike"]}, Type: {long_leg["Type"]}')
print(f' Backtest Opening Price: {open_price}')
print(f'Backtest Profit: {backtest_profit(trade_date)}')