feat(stock-lab): position_sizer — ATR Wilder + entry/stop/target

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2026-05-12 09:25:49 +09:00
parent 90c408aa77
commit 97cb38ca7f
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import datetime as dt
import pandas as pd
from app.screener.engine import ScreenContext
from app.screener.position_sizer import compute_atr_wilder, plan_positions
from app.screener._test_fixtures import make_master, make_prices, make_flow
def _ctx(master, prices, flow):
return ScreenContext(master=master, prices=prices, flow=flow,
kospi=pd.Series(dtype=float, name="kospi"),
asof=dt.date(2026, 5, 12))
def test_atr_wilder_positive_and_smooth():
df = make_prices(["A"], days=30)
atr = compute_atr_wilder(df[df["ticker"] == "A"], window=14)
assert atr > 0
def test_plan_positions_returns_entry_stop_target():
asof = dt.date(2026, 5, 12)
master = make_master(["A"])
prices = make_prices(["A"], days=30, asof=asof, start_close=50000)
flow = make_flow(["A"], days=30, asof=asof)
ctx = _ctx(master, prices, flow)
sizing = plan_positions(ctx, ["A"], {"atr_window": 14, "atr_stop_mult": 2.0, "rr_ratio": 2.0})
row = sizing["A"]
assert row["entry_price"] > 0
assert row["stop_price"] < row["entry_price"]
assert row["target_price"] > row["entry_price"]
assert row["atr14"] > 0