DaM
f85c522f22
- Implemented portfolio engine with risk-based allocation (50/50) - Added equity-based metrics for system-level evaluation - Validated portfolio against standalone strategies - Reduced max drawdown and volatility at system level - Quantitative decision closed before paper trading phase
74 lines
1.6 KiB
Python
74 lines
1.6 KiB
Python
# src/risk/stops/test_atr_stop.py
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import sys
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from pathlib import Path
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import pandas as pd
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import numpy as np
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import pytest
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# Añadir raíz del proyecto al path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
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from src.risk.stops.base import StopLoss
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from src.core.trade import TradeType
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from src.risk.stops.atr_stop import ATRStop
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from src.core.trade import TradeType
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def atr_data():
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return pd.DataFrame(
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{
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"high": [10, 11, 12, 13, 14],
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"low": [9, 10, 11, 12, 13],
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"close": [9.5, 10.5, 11.5, 12.5, 13.5],
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},
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index=pd.date_range("2024-01-01", periods=5, freq="D"),
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)
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def test_atr_stop_long():
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stop = ATRStop(atr_period=3, multiplier=2.0)
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price = stop.get_stop_price(
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data=atr_data(),
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idx=4,
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entry_price=14,
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trade_type=TradeType.LONG,
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)
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assert price < 14 # stop por debajo
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def test_atr_stop_short():
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stop = ATRStop(atr_period=3, multiplier=2.0)
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price = stop.get_stop_price(
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data=atr_data(),
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idx=4,
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entry_price=14,
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trade_type=TradeType.SHORT,
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)
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assert price > 14 # stop por encima
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def test_atr_stop_requires_columns():
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stop = ATRStop()
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bad_data = pd.DataFrame({"close": [1, 2, 3]})
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with pytest.raises(ValueError):
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stop.get_stop_price(
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data=bad_data,
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idx=2,
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entry_price=3,
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trade_type=TradeType.LONG,
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)
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def test_atr_stop_invalid_params():
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with pytest.raises(ValueError):
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ATRStop(atr_period=0)
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with pytest.raises(ValueError):
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ATRStop(multiplier=0)
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