merged lev-freqtradebot with lev-strat
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@@ -2,7 +2,7 @@
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This module contains the class to persist trades into SQLite
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"""
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import logging
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from datetime import datetime, timezone
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from datetime import datetime, timedelta, timezone
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from decimal import Decimal
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from typing import Any, Dict, List, Optional
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@@ -1025,17 +1025,21 @@ class Trade(_DECL_BASE, LocalTrade):
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return total_open_stake_amount or 0
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@staticmethod
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def get_overall_performance() -> List[Dict[str, Any]]:
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def get_overall_performance(minutes=None) -> List[Dict[str, Any]]:
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"""
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Returns List of dicts containing all Trades, including profit and trade count
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NOTE: Not supported in Backtesting.
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"""
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filters = [Trade.is_open.is_(False)]
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if minutes:
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start_date = datetime.now(timezone.utc) - timedelta(minutes=minutes)
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filters.append(Trade.close_date >= start_date)
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pair_rates = Trade.query.with_entities(
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Trade.pair,
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func.sum(Trade.close_profit).label('profit_sum'),
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func.sum(Trade.close_profit_abs).label('profit_sum_abs'),
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func.count(Trade.pair).label('count')
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).filter(Trade.is_open.is_(False))\
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).filter(*filters)\
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.group_by(Trade.pair) \
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.order_by(desc('profit_sum_abs')) \
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.all()
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