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Author SHA1 Message Date
agentson
305120f599 fix: use broker balance API as source of truth for SELL qty and holdings (#164 #165)
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DB의 주문 수량 기록은 실제 체결 수량과 다를 수 있음(부분 체결, 외부 수동 거래).
브로커 잔고 API(output1)를 source of truth로 사용하도록 수정.

## 변경 사항

### SELL 수량 (#164)
- _extract_held_qty_from_balance() 추가
  - 국내: output1의 ord_psbl_qty (→ hldg_qty fallback)
  - 해외: output1의 ovrs_cblc_qty (→ hldg_qty fallback)
- _determine_order_quantity()에 broker_held_qty 파라미터 추가
  - SELL 시 broker_held_qty 반환 (0이면 주문 스킵)
- trading_cycle / run_daily_session 양쪽 호출 지점 수정
  - 이미 fetch된 balance_data에서 수량 추출 (추가 API 호출 없음)

### 보유 종목 루프 (#165)
- _extract_held_codes_from_balance() 추가
  - ord_psbl_qty > 0인 종목 코드 목록 반환
- 실시간 루프에서 스캔 시점에 get_balance() 호출해 보유 종목 병합
  - 스캐너 후보 + 실제 보유 종목 union으로 trading_cycle 순회
  - 실패 시 경고 로그 후 스캐너 후보만으로 계속 진행

### 테스트
- TestExtractHeldQtyFromBalance: 7개 (국내/해외/fallback/미보유)
- TestExtractHeldCodesFromBalance: 4개 (qty>0 포함, qty=0 제외 등)
- TestDetermineOrderQuantity: 5개 (SELL qty, BUY sizing)
- test_sell_order_uses_broker_balance_qty_not_db:
  DB 10주 기록 vs 브로커 5주 확인 → 브로커 값(5) 사용 검증
- 기존 SELL/stop-loss/take-profit 테스트에 output1 mock 추가

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 07:40:45 +09:00
faa23b3f1b Merge pull request 'fix: enforce take_profit_pct in HOLD evaluation loop (#163)' (#166) from feature/issue-163-take-profit-enforcement into main
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Reviewed-on: #166
2026-02-20 07:24:14 +09:00
agentson
5844ec5ad3 fix: enforce take_profit_pct in HOLD evaluation loop (#163)
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HOLD 판정 후 보유 포지션에 대해 stop_loss와 함께 take_profit도 체크하도록 수정.
AI가 생성한 take_profit_pct가 실제 거래 로직에 반영되지 않던 구조적 결함 수정.

- HOLD 블록에서 loss_pct >= take_profit_threshold 조건 추가
- stop_loss와 상호 배타적으로 동작 (stop_loss 우선 체크)
- take_profit 기본값 3.0% (playbook 없는 경우 적용)
- 테스트 2개 추가:
  - test_hold_overridden_to_sell_when_take_profit_triggered
  - test_hold_not_overridden_when_between_stop_loss_and_take_profit

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-20 03:00:52 +09:00
2 changed files with 441 additions and 50 deletions

View File

@@ -106,6 +106,82 @@ def _extract_symbol_from_holding(item: dict[str, Any]) -> str:
return ""
def _extract_held_codes_from_balance(
balance_data: dict[str, Any],
*,
is_domestic: bool,
) -> list[str]:
"""Return stock codes with a positive orderable quantity from a balance response.
Uses the broker's live output1 as the source of truth so that partial fills
and manual external trades are always reflected correctly.
"""
output1 = balance_data.get("output1", [])
if isinstance(output1, dict):
output1 = [output1]
if not isinstance(output1, list):
return []
codes: list[str] = []
for holding in output1:
if not isinstance(holding, dict):
continue
code_key = "pdno" if is_domestic else "ovrs_pdno"
code = str(holding.get(code_key, "")).strip().upper()
if not code:
continue
if is_domestic:
qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
else:
qty = int(holding.get("ovrs_cblc_qty") or holding.get("hldg_qty") or 0)
if qty > 0:
codes.append(code)
return codes
def _extract_held_qty_from_balance(
balance_data: dict[str, Any],
stock_code: str,
*,
is_domestic: bool,
) -> int:
"""Extract the broker-confirmed orderable quantity for a stock.
Uses the broker's live balance response (output1) as the source of truth
rather than the local DB, because DB records reflect order quantity which
may differ from actual fill quantity due to partial fills.
Domestic fields (VTTC8434R output1):
pdno — 종목코드
ord_psbl_qty — 주문가능수량 (preferred: excludes unsettled)
hldg_qty — 보유수량 (fallback)
Overseas fields (output1):
ovrs_pdno — 종목코드
ovrs_cblc_qty — 해외잔고수량 (preferred)
hldg_qty — 보유수량 (fallback)
"""
output1 = balance_data.get("output1", [])
if isinstance(output1, dict):
output1 = [output1]
if not isinstance(output1, list):
return 0
for holding in output1:
if not isinstance(holding, dict):
continue
code_key = "pdno" if is_domestic else "ovrs_pdno"
held_code = str(holding.get(code_key, "")).strip().upper()
if held_code != stock_code.strip().upper():
continue
if is_domestic:
qty = int(holding.get("ord_psbl_qty") or holding.get("hldg_qty") or 0)
else:
qty = int(holding.get("ovrs_cblc_qty") or holding.get("hldg_qty") or 0)
return qty
return 0
def _determine_order_quantity(
*,
action: str,
@@ -113,13 +189,11 @@ def _determine_order_quantity(
total_cash: float,
candidate: ScanCandidate | None,
settings: Settings | None,
open_position: dict[str, Any] | None = None,
broker_held_qty: int = 0,
) -> int:
"""Determine order quantity using volatility-aware position sizing."""
if action == "SELL":
if open_position is None:
return 0
return int(open_position.get("quantity") or 0)
return broker_held_qty
if current_price <= 0 or total_cash <= 0:
return 0
@@ -390,8 +464,10 @@ async def trading_cycle(
if entry_price > 0:
loss_pct = (current_price - entry_price) / entry_price * 100
stop_loss_threshold = -2.0
take_profit_threshold = 3.0
if stock_playbook and stock_playbook.scenarios:
stop_loss_threshold = stock_playbook.scenarios[0].stop_loss_pct
take_profit_threshold = stock_playbook.scenarios[0].take_profit_pct
if loss_pct <= stop_loss_threshold:
decision = TradeDecision(
@@ -409,6 +485,22 @@ async def trading_cycle(
loss_pct,
stop_loss_threshold,
)
elif loss_pct >= take_profit_threshold:
decision = TradeDecision(
action="SELL",
confidence=90,
rationale=(
f"Take-profit triggered ({loss_pct:.2f}% >= "
f"{take_profit_threshold:.2f}%)"
),
)
logger.info(
"Take-profit override for %s (%s): %.2f%% >= %.2f%%",
stock_code,
market.name,
loss_pct,
take_profit_threshold,
)
logger.info(
"Decision for %s (%s): %s (confidence=%d)",
stock_code,
@@ -469,10 +561,12 @@ async def trading_cycle(
trade_price = current_price
trade_pnl = 0.0
if decision.action in ("BUY", "SELL"):
sell_position = (
get_open_position(db_conn, stock_code, market.code)
broker_held_qty = (
_extract_held_qty_from_balance(
balance_data, stock_code, is_domestic=market.is_domestic
)
if decision.action == "SELL"
else None
else 0
)
quantity = _determine_order_quantity(
action=decision.action,
@@ -480,7 +574,7 @@ async def trading_cycle(
total_cash=total_cash,
candidate=candidate,
settings=settings,
open_position=sell_position,
broker_held_qty=broker_held_qty,
)
if quantity <= 0:
logger.info(
@@ -900,10 +994,12 @@ async def run_daily_session(
trade_pnl = 0.0
order_succeeded = True
if decision.action in ("BUY", "SELL"):
daily_sell_position = (
get_open_position(db_conn, stock_code, market.code)
daily_broker_held_qty = (
_extract_held_qty_from_balance(
balance_data, stock_code, is_domestic=market.is_domestic
)
if decision.action == "SELL"
else None
else 0
)
quantity = _determine_order_quantity(
action=decision.action,
@@ -911,7 +1007,7 @@ async def run_daily_session(
total_cash=total_cash,
candidate=candidate_map.get(stock_code),
settings=settings,
open_position=daily_sell_position,
broker_held_qty=daily_broker_held_qty,
)
if quantity <= 0:
logger.info(
@@ -1878,8 +1974,38 @@ async def run(settings: Settings) -> None:
except Exception as exc:
logger.error("Smart Scanner failed for %s: %s", market.name, exc)
# Get active stocks from scanner (dynamic, no static fallback)
stock_codes = active_stocks.get(market.code, [])
# Get active stocks from scanner (dynamic, no static fallback).
# Also include currently-held positions so stop-loss /
# take-profit can fire even when a holding drops off the
# scanner. Broker balance is the source of truth here —
# unlike the local DB it reflects actual fills and any
# manual trades done outside the bot.
scanner_codes = active_stocks.get(market.code, [])
try:
if market.is_domestic:
held_balance = await broker.get_balance()
else:
held_balance = await overseas_broker.get_overseas_balance(
market.exchange_code
)
held_codes = _extract_held_codes_from_balance(
held_balance, is_domestic=market.is_domestic
)
except Exception as exc:
logger.warning(
"Failed to fetch holdings for %s: %s — skipping holdings merge",
market.name, exc,
)
held_codes = []
stock_codes = list(dict.fromkeys(scanner_codes + held_codes))
extra_held = [c for c in held_codes if c not in set(scanner_codes)]
if extra_held:
logger.info(
"Holdings added to loop for %s (not in scanner): %s",
market.name, extra_held,
)
if not stock_codes:
logger.debug("No active stocks for market %s", market.code)
continue

View File

@@ -15,6 +15,8 @@ from src.logging.decision_logger import DecisionLogger
from src.main import (
_apply_dashboard_flag,
_determine_order_quantity,
_extract_held_codes_from_balance,
_extract_held_qty_from_balance,
_handle_market_close,
_run_context_scheduler,
_run_evolution_loop,
@@ -69,49 +71,104 @@ def _make_sell_match(stock_code: str = "005930") -> ScenarioMatch:
)
class TestDetermineOrderQuantity:
"""Test _determine_order_quantity() helper function."""
class TestExtractHeldQtyFromBalance:
"""Tests for _extract_held_qty_from_balance()."""
def test_sell_returns_position_quantity(self) -> None:
"""SELL action should return actual held quantity from open_position."""
open_pos = {"decision_id": "abc", "price": 100.0, "quantity": 7}
def _domestic_balance(self, stock_code: str, ord_psbl_qty: int) -> dict:
return {
"output1": [{"pdno": stock_code, "ord_psbl_qty": str(ord_psbl_qty)}],
"output2": [{"dnca_tot_amt": "1000000"}],
}
def test_domestic_returns_ord_psbl_qty(self) -> None:
balance = self._domestic_balance("005930", 7)
assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 7
def test_domestic_fallback_to_hldg_qty(self) -> None:
balance = {"output1": [{"pdno": "005930", "hldg_qty": "3"}]}
assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 3
def test_domestic_returns_zero_when_not_found(self) -> None:
balance = self._domestic_balance("005930", 5)
assert _extract_held_qty_from_balance(balance, "000660", is_domestic=True) == 0
def test_domestic_returns_zero_when_output1_empty(self) -> None:
balance = {"output1": [], "output2": [{}]}
assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 0
def test_overseas_returns_ovrs_cblc_qty(self) -> None:
balance = {"output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "10"}]}
assert _extract_held_qty_from_balance(balance, "AAPL", is_domestic=False) == 10
def test_overseas_fallback_to_hldg_qty(self) -> None:
balance = {"output1": [{"ovrs_pdno": "AAPL", "hldg_qty": "4"}]}
assert _extract_held_qty_from_balance(balance, "AAPL", is_domestic=False) == 4
def test_case_insensitive_match(self) -> None:
balance = {"output1": [{"pdno": "005930", "ord_psbl_qty": "2"}]}
assert _extract_held_qty_from_balance(balance, "005930", is_domestic=True) == 2
class TestExtractHeldCodesFromBalance:
"""Tests for _extract_held_codes_from_balance()."""
def test_returns_codes_with_positive_qty(self) -> None:
balance = {
"output1": [
{"pdno": "005930", "ord_psbl_qty": "5"},
{"pdno": "000660", "ord_psbl_qty": "3"},
]
}
result = _extract_held_codes_from_balance(balance, is_domestic=True)
assert set(result) == {"005930", "000660"}
def test_excludes_zero_qty_holdings(self) -> None:
balance = {
"output1": [
{"pdno": "005930", "ord_psbl_qty": "0"},
{"pdno": "000660", "ord_psbl_qty": "2"},
]
}
result = _extract_held_codes_from_balance(balance, is_domestic=True)
assert "005930" not in result
assert "000660" in result
def test_returns_empty_when_output1_missing(self) -> None:
balance: dict = {}
assert _extract_held_codes_from_balance(balance, is_domestic=True) == []
def test_overseas_uses_ovrs_pdno(self) -> None:
balance = {"output1": [{"ovrs_pdno": "AAPL", "ovrs_cblc_qty": "3"}]}
result = _extract_held_codes_from_balance(balance, is_domestic=False)
assert result == ["AAPL"]
class TestDetermineOrderQuantity:
"""Test _determine_order_quantity() — SELL uses broker_held_qty."""
def test_sell_returns_broker_held_qty(self) -> None:
result = _determine_order_quantity(
action="SELL",
current_price=105.0,
total_cash=50000.0,
candidate=None,
settings=None,
open_position=open_pos,
broker_held_qty=7,
)
assert result == 7
def test_sell_without_position_returns_zero(self) -> None:
"""SELL with no open_position should return 0 (no shares to sell)."""
def test_sell_returns_zero_when_broker_qty_zero(self) -> None:
result = _determine_order_quantity(
action="SELL",
current_price=105.0,
total_cash=50000.0,
candidate=None,
settings=None,
open_position=None,
)
assert result == 0
def test_sell_with_zero_quantity_returns_zero(self) -> None:
"""SELL with position quantity=0 should return 0."""
open_pos = {"decision_id": "abc", "price": 100.0, "quantity": 0}
result = _determine_order_quantity(
action="SELL",
current_price=105.0,
total_cash=50000.0,
candidate=None,
settings=None,
open_position=open_pos,
broker_held_qty=0,
)
assert result == 0
def test_buy_without_position_sizing_returns_one(self) -> None:
"""BUY with no settings should return 1 (default)."""
result = _determine_order_quantity(
action="BUY",
current_price=50000.0,
@@ -122,7 +179,6 @@ class TestDetermineOrderQuantity:
assert result == 1
def test_buy_with_zero_cash_returns_zero(self) -> None:
"""BUY with no cash should return 0."""
result = _determine_order_quantity(
action="BUY",
current_price=50000.0,
@@ -133,16 +189,13 @@ class TestDetermineOrderQuantity:
assert result == 0
def test_buy_with_position_sizing_calculates_correctly(self) -> None:
"""BUY with position sizing should calculate quantity from budget."""
settings = MagicMock(spec=Settings)
settings.POSITION_SIZING_ENABLED = True
settings.POSITION_VOLATILITY_TARGET_SCORE = 50.0
settings.POSITION_BASE_ALLOCATION_PCT = 10.0
settings.POSITION_MAX_ALLOCATION_PCT = 30.0
settings.POSITION_MIN_ALLOCATION_PCT = 1.0
# total_cash=1,000,000 * 10% = 100,000 budget
# 100,000 // 50,000 = 2 shares
# 1,000,000 * 10% = 100,000 budget // 50,000 price = 2 shares
result = _determine_order_quantity(
action="BUY",
current_price=50000.0,
@@ -1325,13 +1378,14 @@ async def test_sell_updates_original_buy_decision_outcome() -> None:
broker.get_current_price = AsyncMock(return_value=(120.0, 0.0, 0.0))
broker.get_balance = AsyncMock(
return_value={
"output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
"output2": [
{
"tot_evlu_amt": "100000",
"dnca_tot_amt": "10000",
"pchs_amt_smtl_amt": "90000",
}
]
],
}
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
@@ -1415,13 +1469,14 @@ async def test_hold_overridden_to_sell_when_stop_loss_triggered() -> None:
broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
broker.get_balance = AsyncMock(
return_value={
"output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
"output2": [
{
"tot_evlu_amt": "100000",
"dnca_tot_amt": "10000",
"pchs_amt_smtl_amt": "90000",
}
]
],
}
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
@@ -1482,8 +1537,8 @@ async def test_hold_overridden_to_sell_when_stop_loss_triggered() -> None:
@pytest.mark.asyncio
async def test_sell_order_uses_actual_held_quantity() -> None:
"""SELL order should use the actual quantity held, not hardcoded 1."""
async def test_hold_overridden_to_sell_when_take_profit_triggered() -> None:
"""HOLD decision should be overridden to SELL when take-profit threshold is reached."""
db_conn = init_db(":memory:")
decision_logger = DecisionLogger(db_conn)
@@ -1497,14 +1552,13 @@ async def test_sell_order_uses_actual_held_quantity() -> None:
context_snapshot={},
input_data={},
)
# Bought 5 shares at 100.0
log_trade(
conn=db_conn,
stock_code="005930",
action="BUY",
confidence=90,
rationale="entry",
quantity=5,
quantity=1,
price=100.0,
market="KR",
exchange_code="KRX",
@@ -1512,7 +1566,110 @@ async def test_sell_order_uses_actual_held_quantity() -> None:
)
broker = MagicMock()
broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
# Current price 106.0 → +6% gain, above take_profit_pct=3.0
broker.get_current_price = AsyncMock(return_value=(106.0, 6.0, 0.0))
broker.get_balance = AsyncMock(
return_value={
"output1": [{"pdno": "005930", "ord_psbl_qty": "1"}],
"output2": [
{
"tot_evlu_amt": "100000",
"dnca_tot_amt": "10000",
"pchs_amt_smtl_amt": "90000",
}
],
}
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
scenario = StockScenario(
condition=StockCondition(rsi_below=30),
action=ScenarioAction.BUY,
confidence=88,
stop_loss_pct=-2.0,
take_profit_pct=3.0,
rationale="take profit policy",
)
playbook = DayPlaybook(
date=date(2026, 2, 8),
market="KR",
stock_playbooks=[
{"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
],
)
engine = MagicMock(spec=ScenarioEngine)
engine.evaluate = MagicMock(return_value=_make_hold_match())
market = MagicMock()
market.name = "Korea"
market.code = "KR"
market.exchange_code = "KRX"
market.is_domestic = True
telegram = MagicMock()
telegram.notify_trade_execution = AsyncMock()
telegram.notify_fat_finger = AsyncMock()
telegram.notify_circuit_breaker = AsyncMock()
telegram.notify_scenario_matched = AsyncMock()
await trading_cycle(
broker=broker,
overseas_broker=MagicMock(),
scenario_engine=engine,
playbook=playbook,
risk=MagicMock(),
db_conn=db_conn,
decision_logger=decision_logger,
context_store=MagicMock(
get_latest_timeframe=MagicMock(return_value=None),
set_context=MagicMock(),
),
criticality_assessor=MagicMock(
assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
get_timeout=MagicMock(return_value=5.0),
),
telegram=telegram,
market=market,
stock_code="005930",
scan_candidates={},
)
broker.send_order.assert_called_once()
assert broker.send_order.call_args.kwargs["order_type"] == "SELL"
@pytest.mark.asyncio
async def test_hold_not_overridden_when_between_stop_loss_and_take_profit() -> None:
"""HOLD should remain HOLD when P&L is within stop-loss and take-profit bounds."""
db_conn = init_db(":memory:")
decision_logger = DecisionLogger(db_conn)
buy_decision_id = decision_logger.log_decision(
stock_code="005930",
market="KR",
exchange_code="KRX",
action="BUY",
confidence=90,
rationale="entry",
context_snapshot={},
input_data={},
)
log_trade(
conn=db_conn,
stock_code="005930",
action="BUY",
confidence=90,
rationale="entry",
quantity=1,
price=100.0,
market="KR",
exchange_code="KRX",
decision_id=buy_decision_id,
)
broker = MagicMock()
# Current price 101.0 → +1% gain, within [-2%, +3%] range
broker.get_current_price = AsyncMock(return_value=(101.0, 1.0, 0.0))
broker.get_balance = AsyncMock(
return_value={
"output2": [
@@ -1526,6 +1683,113 @@ async def test_sell_order_uses_actual_held_quantity() -> None:
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
scenario = StockScenario(
condition=StockCondition(rsi_below=30),
action=ScenarioAction.BUY,
confidence=88,
stop_loss_pct=-2.0,
take_profit_pct=3.0,
rationale="within range policy",
)
playbook = DayPlaybook(
date=date(2026, 2, 8),
market="KR",
stock_playbooks=[
{"stock_code": "005930", "stock_name": "Samsung", "scenarios": [scenario]}
],
)
engine = MagicMock(spec=ScenarioEngine)
engine.evaluate = MagicMock(return_value=_make_hold_match())
market = MagicMock()
market.name = "Korea"
market.code = "KR"
market.exchange_code = "KRX"
market.is_domestic = True
telegram = MagicMock()
telegram.notify_trade_execution = AsyncMock()
telegram.notify_fat_finger = AsyncMock()
telegram.notify_circuit_breaker = AsyncMock()
telegram.notify_scenario_matched = AsyncMock()
await trading_cycle(
broker=broker,
overseas_broker=MagicMock(),
scenario_engine=engine,
playbook=playbook,
risk=MagicMock(),
db_conn=db_conn,
decision_logger=decision_logger,
context_store=MagicMock(
get_latest_timeframe=MagicMock(return_value=None),
set_context=MagicMock(),
),
criticality_assessor=MagicMock(
assess_market_conditions=MagicMock(return_value=MagicMock(value="NORMAL")),
get_timeout=MagicMock(return_value=5.0),
),
telegram=telegram,
market=market,
stock_code="005930",
scan_candidates={},
)
broker.send_order.assert_not_called()
@pytest.mark.asyncio
async def test_sell_order_uses_broker_balance_qty_not_db() -> None:
"""SELL quantity must come from broker balance output1, not DB.
The DB records order quantity which may differ from actual fill quantity.
This test verifies that we use the broker-confirmed orderable quantity.
"""
db_conn = init_db(":memory:")
decision_logger = DecisionLogger(db_conn)
buy_decision_id = decision_logger.log_decision(
stock_code="005930",
market="KR",
exchange_code="KRX",
action="BUY",
confidence=90,
rationale="entry",
context_snapshot={},
input_data={},
)
# DB records 10 shares ordered — but only 5 actually filled (partial fill scenario)
log_trade(
conn=db_conn,
stock_code="005930",
action="BUY",
confidence=90,
rationale="entry",
quantity=10, # ordered quantity (may differ from fill)
price=100.0,
market="KR",
exchange_code="KRX",
decision_id=buy_decision_id,
)
broker = MagicMock()
# Stop-loss triggers (price dropped below -2%)
broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
broker.get_balance = AsyncMock(
return_value={
# Broker confirms only 5 shares are actually orderable (partial fill)
"output1": [{"pdno": "005930", "ord_psbl_qty": "5"}],
"output2": [
{
"tot_evlu_amt": "100000",
"dnca_tot_amt": "10000",
"pchs_amt_smtl_amt": "90000",
}
],
}
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
scenario = StockScenario(
condition=StockCondition(rsi_below=30),
action=ScenarioAction.BUY,
@@ -1580,7 +1844,8 @@ async def test_sell_order_uses_actual_held_quantity() -> None:
broker.send_order.assert_called_once()
call_kwargs = broker.send_order.call_args.kwargs
assert call_kwargs["order_type"] == "SELL"
assert call_kwargs["quantity"] == 5 # actual held quantity, not 1
# Must use broker-confirmed qty (5), NOT DB-recorded ordered qty (10)
assert call_kwargs["quantity"] == 5
@pytest.mark.asyncio