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
I Luk Kim 4 months ago
parent d4daf7a951
commit c5fa1394ed

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