Add run_stop_check unit tests covering stop_loss, breakeven, and tighten
Tests the stop evaluation loop that mirrors orb_simulator.py:477-580: - Long/short stop_loss hit - Breakeven promotion (stop moves to entry at 1R) - trailing_tighten_at_r: verifies tight ATR multiplier fires at 2R vs normal multiplier, exercising the tighten logic added in V23 port Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>main
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"""Unit tests for ORBTradingEngine.run_stop_check stop management logic.
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Tests the stop evaluation loop that mirrors orb_simulator.py:477-580.
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Key behaviors verified: stop_loss hit, breakeven promotion, trailing
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activation, and trailing_tighten_at_r (tight ATR multiplier at 2R).
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"""
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from __future__ import annotations
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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import pytest
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from apps.orb_trader.engine import ORBTradingEngine
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from apps.orb_trader.models import ORBPositionRow
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_DATE = "2026-01-05"
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_ET_OFFSET = "-05:00" # January is EST
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def _ts(time_str: str) -> str:
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"""Return a market-hours timestamp for the test date in ET ISO format."""
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return f"{_DATE}T{time_str}{_ET_OFFSET}"
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def _bar(*, high: float, low: float, time_str: str = "09:35:00") -> dict:
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return {
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"timestamp": _ts(time_str),
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"open": (high + low) / 2,
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"high": high,
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"low": low,
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"close": (high + low) / 2,
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"volume": 1000,
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}
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def _make_position(
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*,
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ticker: str = "AAPL",
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direction: str = "long",
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entry_price: float = 100.0,
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shares: int = 10,
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stop_distance: float = 2.0,
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current_stop: float | None = None,
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trailing_active: bool = False,
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) -> ORBPositionRow:
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if current_stop is None:
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current_stop = (entry_price - stop_distance) if direction == "long" else (entry_price + stop_distance)
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return ORBPositionRow(
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session_id="test-session",
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date=_DATE,
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ticker=ticker,
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direction=direction,
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entry_price=entry_price,
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entry_time=_ts("09:32:00"), # before all test bars
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shares=shares,
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orb_high=entry_price + 1,
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orb_low=entry_price - 1,
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atr_at_entry=stop_distance / 0.75,
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stop_distance=stop_distance,
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current_stop=current_stop,
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peak_price=entry_price,
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trailing_active=trailing_active,
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rvol=2.0,
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composite_score=0.7,
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order_id="order-1",
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)
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def _make_engine(pos: ORBPositionRow, bars: list[dict]) -> ORBTradingEngine:
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params = SimpleNamespace(
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sim_bar_minutes=5,
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daily_budget_reset=True,
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drawdown_governor_threshold=None,
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drawdown_governor_min_scale=0.30,
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streak_sizing_win_bonus=None,
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streak_sizing_loss_penalty=None,
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streak_sizing_max=2.5,
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streak_sizing_min=0.5,
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# Stop params (V23 values)
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breakeven_at_r=1.0,
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trailing_at_r=1.0,
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trailing_stop_atr_multiplier=0.8,
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trailing_tighten_at_r=2.0,
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trailing_stop_atr_multiplier_tight=0.3,
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# Kill switches
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daily_max_loss_pct=0.05,
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max_stops_per_day=5,
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)
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session = SimpleNamespace(
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session_id="test-session",
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session_name="test",
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initial_equity=10_000.0,
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)
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state = MagicMock()
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state.get_open_positions.return_value = [pos]
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state.get_equity.return_value = 10_000.0
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state.get_peak_equity.return_value = 10_000.0
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state.list_trades.return_value = []
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daily_state_mock = MagicMock()
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daily_state_mock.kill_switch = False
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daily_state_mock.cumulative_loss = 0.0
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daily_state_mock.stops_hit = 0
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state.get_daily_state.return_value = daily_state_mock
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broker = MagicMock()
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broker.get_intraday_bars.return_value = {pos.ticker: bars}
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close_order = MagicMock()
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close_order.id = "close-order-1"
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broker.close_position.return_value = close_order
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fill_order = MagicMock()
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fill_order.filled_avg_price = pos.current_stop # fill at stop price
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fill_order.status = "filled"
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broker.get_order.return_value = fill_order
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engine = object.__new__(ORBTradingEngine)
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engine._session = session
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engine._params = params
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engine._state = state
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engine._broker = broker
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engine._log_callback = None
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engine._date_str = _DATE
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return engine
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# ── Stop loss ─────────────────────────────────────────────────────────────────
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class TestStopLossHit:
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@patch("apps.orb_trader.engine.time")
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def test_long_stop_hit_below_stop(self, mock_time):
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# bar_low=96.5 < stop=98.0 → stop_loss triggered
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pos = _make_position(entry_price=100.0, stop_distance=2.0, current_stop=98.0)
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bars = [_bar(high=100.5, low=96.5, time_str="09:40:00")]
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eng = _make_engine(pos, bars)
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result = eng.run_stop_check(_DATE)
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assert result["stops_hit"] == 1
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eng._broker.close_position.assert_called_once_with("AAPL", qty=10)
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trade = eng._state.save_trade.call_args[0][0]
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assert trade.exit_reason == "stop_loss"
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@patch("apps.orb_trader.engine.time")
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def test_long_no_stop_hit_above_stop(self, mock_time):
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# bar_high=101.5 → R=0.75 < breakeven_at_r=1.0 → stop stays at 98.0
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# bar_low=99.0 > 98.0 → no stop hit
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pos = _make_position(entry_price=100.0, stop_distance=2.0, current_stop=98.0)
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bars = [_bar(high=101.5, low=99.0, time_str="09:40:00")]
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eng = _make_engine(pos, bars)
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result = eng.run_stop_check(_DATE)
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assert result["stops_hit"] == 0
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eng._broker.close_position.assert_not_called()
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@patch("apps.orb_trader.engine.time")
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def test_short_stop_hit_above_stop(self, mock_time):
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# Short: bar_high >= stop → stop triggered
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pos = _make_position(
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direction="short",
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entry_price=100.0,
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stop_distance=2.0,
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current_stop=102.0,
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)
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bars = [_bar(high=103.0, low=99.0, time_str="09:40:00")]
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eng = _make_engine(pos, bars)
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result = eng.run_stop_check(_DATE)
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assert result["stops_hit"] == 1
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trade = eng._state.save_trade.call_args[0][0]
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assert trade.exit_reason == "stop_loss"
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# ── Breakeven promotion ───────────────────────────────────────────────────────
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class TestBreakevenPromotion:
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@patch("apps.orb_trader.engine.time")
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def test_stop_moves_to_entry_at_1r(self, mock_time):
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# entry=100, stop_distance=2, breakeven_at_r=1.0
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# bar_high=102.5 → current_r = (102.5-100)/2 = 1.25 ≥ 1.0 → stop moves to 100
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pos = _make_position(entry_price=100.0, stop_distance=2.0, current_stop=98.0)
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bars = [
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_bar(high=102.5, low=101.0, time_str="09:40:00"),
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_bar(high=102.0, low=100.5, time_str="09:45:00"), # second bar: no stop hit
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]
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eng = _make_engine(pos, bars)
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eng.run_stop_check(_DATE)
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# DB should be updated with stop >= entry price (100.0)
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upd_calls = eng._state.update_position_stop.call_args_list
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assert len(upd_calls) == 1
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updated_stop = upd_calls[0].args[3] # positional: session_id, date, ticker, stop, ...
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assert updated_stop >= 100.0
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# ── Trailing tighten at 2R ────────────────────────────────────────────────────
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class TestTrailingTighten:
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@patch("apps.orb_trader.engine.time")
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def test_tighten_uses_tight_multiplier_at_2r(self, mock_time):
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# entry=100, stop_distance=2, atr_at_entry=2/0.75≈2.667
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# trailing_at_r=1.0, tighten_at_r=2.0, tight_mult=0.3, normal_mult=0.8
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# Bar 1: high=104.1 → R=(104.1-100)/2=2.05 ≥ 2.0 → should use tight_mult=0.3
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# Expected trail = peak - atr*0.3 = 104.1 - 2.667*0.3 ≈ 103.3
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pos = _make_position(
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entry_price=100.0, stop_distance=2.0, current_stop=98.0,
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trailing_active=True, # already trailing
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)
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bars = [_bar(high=104.1, low=101.0, time_str="09:40:00")]
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eng = _make_engine(pos, bars)
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# Pre-warm peak_price to 104.1 (so the tighten kicks in)
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pos = eng._state.get_open_positions.return_value[0]
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pos.peak_price = 104.1
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pos.current_stop = 100.0 # at breakeven
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eng.run_stop_check(_DATE)
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eng._broker.close_position.assert_not_called()
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upd_calls = eng._state.update_position_stop.call_args_list
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assert upd_calls
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updated_stop = upd_calls[-1].args[3]
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atr = 2.0 / 0.75
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expected_tight = 104.1 - atr * 0.3
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expected_normal = 104.1 - atr * 0.8
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# Tight stop should be higher (tighter) than normal stop
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assert updated_stop > expected_normal - 0.01
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assert updated_stop == pytest.approx(expected_tight, abs=0.05)
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