refactor: MVC 구조 분리 + 미사용 파일 archive 정리

- tick_trader.py를 Controller로 축소, 로직을 3개 모듈로 분리:
  - core/signal.py: 시그널 감지, 지표 계산 (calc_vr, calc_atr, detect_signal)
  - core/order.py: Upbit 주문 실행 (매수/매도/취소/조회)
  - core/position_manager.py: 포지션 관리, DB sync, 복구, 청산 조건
- type hints, Google docstring, 구체적 예외 타입 적용
- 50줄 초과 함수 분리 (process_signal, restore_positions)
- 미사용 파일 58개 archive/ 폴더로 이동
- README.md 추가

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
joungmin
2026-03-06 20:46:47 +09:00
parent 976c53ed66
commit 6e0c4508fa
69 changed files with 5018 additions and 495 deletions

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"""최근 N일 볼륨 가속 시그널 확인 + ATR trail stop 시뮬레이션.
4봉 연속 가격+볼륨 가속 시그널 발생 후 실제 trail stop 로직을 돌려
진입가·청산가·PNL을 표시.
최적 파라미터 (sweep_volaccel 기준):
N봉=4, VOL≥5.0x, ATR_MULT=1.5, ATR_MIN=1.5%, ATR_MAX=2.0%
"""
import sys, os
from datetime import datetime, timedelta
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dotenv import load_dotenv
load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), '.env'))
import oracledb
# ── 파라미터 ──────────────────────────────────────────────────────────────────
VOL_LOOKBACK = 61
ATR_LOOKBACK = 28
LOOKBACK_DAYS = 3 # 오늘 기준 며칠 전까지 시그널 탐색
VOL_MIN_LIST = [8.0]
VOL_MIN = min(VOL_MIN_LIST)
# ATR 비교 목록: (MULT, MIN%, MAX%) — 타이트→여유 순
ATR_SCENARIOS = [
(1.0, 0.010, 0.020), # 타이트: 1.0×ATR, 1.0~2.0%
(1.5, 0.015, 0.025), # 기존최적: 1.5×ATR, 1.5~2.5%
(1.0, 0.020, 0.030), # 고정 2.0~3.0%
(1.0, 0.030, 0.050), # 느슨: 3.0~5.0%
]
ATR_MULT = ATR_SCENARIOS[0][0]
ATR_MIN_R = ATR_SCENARIOS[0][1]
ATR_MAX_R = ATR_SCENARIOS[0][2]
MAX_TRAIL_BARS = 240
BUDGET = 15_000_000
MAX_POS = 3
PER_POS = BUDGET // MAX_POS
FEE = 0.0005
TICKERS = [
'KRW-XRP','KRW-BTC','KRW-ETH','KRW-SOL','KRW-DOGE',
'KRW-ADA','KRW-SUI','KRW-NEAR','KRW-KAVA','KRW-SXP',
'KRW-AKT','KRW-SONIC','KRW-IP','KRW-ORBS','KRW-VIRTUAL',
'KRW-BARD','KRW-XPL','KRW-KITE','KRW-ENSO','KRW-0G',
]
_TK = ",".join(f"'{t}'" for t in TICKERS)
# ── 시그널 SQL (4봉 가속 조건 전부 Oracle SQL에서 처리) ───────────────────────
SIGNAL_SQL = f"""
WITH
base AS (
SELECT ticker, ts, open_p, close_p, high_p, low_p, volume_p,
LAG(close_p, 1) OVER (PARTITION BY ticker ORDER BY ts) prev_close_1,
LAG(open_p, 1) OVER (PARTITION BY ticker ORDER BY ts) prev_open_1,
LAG(volume_p, 1) OVER (PARTITION BY ticker ORDER BY ts) prev_vol_1,
LAG(close_p, 2) OVER (PARTITION BY ticker ORDER BY ts) prev_close_2,
LAG(open_p, 2) OVER (PARTITION BY ticker ORDER BY ts) prev_open_2,
LAG(volume_p, 2) OVER (PARTITION BY ticker ORDER BY ts) prev_vol_2,
LAG(close_p, 3) OVER (PARTITION BY ticker ORDER BY ts) prev_close_3,
LAG(open_p, 3) OVER (PARTITION BY ticker ORDER BY ts) prev_open_3,
LAG(volume_p, 3) OVER (PARTITION BY ticker ORDER BY ts) prev_vol_3,
GREATEST(
high_p - low_p,
ABS(high_p - LAG(close_p,1) OVER (PARTITION BY ticker ORDER BY ts)),
ABS(low_p - LAG(close_p,1) OVER (PARTITION BY ticker ORDER BY ts))
) tr
FROM backtest_ohlcv
WHERE interval_cd = 'minute1'
AND ts >= TO_TIMESTAMP(:warmup_since, 'YYYY-MM-DD HH24:MI:SS')
AND ticker IN ({_TK})
),
indicators AS (
SELECT ticker, ts, open_p, close_p,
volume_p / NULLIF(
AVG(volume_p) OVER (PARTITION BY ticker ORDER BY ts
ROWS BETWEEN {VOL_LOOKBACK} PRECEDING AND 2 PRECEDING), 0
) vr0,
prev_vol_1 / NULLIF(
AVG(volume_p) OVER (PARTITION BY ticker ORDER BY ts
ROWS BETWEEN {VOL_LOOKBACK} PRECEDING AND 2 PRECEDING), 0
) vr1,
prev_vol_2 / NULLIF(
AVG(volume_p) OVER (PARTITION BY ticker ORDER BY ts
ROWS BETWEEN {VOL_LOOKBACK} PRECEDING AND 2 PRECEDING), 0
) vr2,
prev_vol_3 / NULLIF(
AVG(volume_p) OVER (PARTITION BY ticker ORDER BY ts
ROWS BETWEEN {VOL_LOOKBACK} PRECEDING AND 2 PRECEDING), 0
) vr3,
prev_close_1, prev_open_1,
prev_close_2, prev_open_2,
prev_close_3, prev_open_3,
AVG(tr) OVER (PARTITION BY ticker ORDER BY ts
ROWS BETWEEN {ATR_LOOKBACK} PRECEDING AND 1 PRECEDING)
/ NULLIF(prev_close_1, 0) atr_raw
FROM base
)
SELECT ticker, ts sig_ts, close_p sig_price,
vr0, vr1, vr2, vr3, atr_raw,
prev_close_3, prev_close_2, prev_close_1, close_p
FROM indicators
WHERE ts >= TO_TIMESTAMP(:check_since, 'YYYY-MM-DD HH24:MI:SS')
AND vr0 >= :min_vol
-- 4봉 연속: 양봉
AND close_p > open_p
AND prev_close_1 > prev_open_1
AND prev_close_2 > prev_open_2
AND prev_close_3 > prev_open_3
-- 4봉 연속: 가격 가속
AND close_p > prev_close_1
AND prev_close_1 > prev_close_2
AND prev_close_2 > prev_close_3
-- 4봉 연속: 볼륨 가속
AND vr0 > vr1
AND vr1 > vr2
AND vr2 > vr3
ORDER BY ticker, ts
"""
def _get_conn():
kwargs = dict(user=os.environ["ORACLE_USER"],
password=os.environ["ORACLE_PASSWORD"],
dsn=os.environ["ORACLE_DSN"])
wallet = os.environ.get("ORACLE_WALLET")
if wallet:
kwargs["config_dir"] = wallet
return oracledb.connect(**kwargs)
def simulate_trail(cur, ticker: str, entry_ts, entry_price: float,
atr_raw: float,
mult: float = None, min_r: float = None, max_r: float = None) -> dict:
"""entry_ts 봉부터 trail stop 시뮬. 상세 결과 dict 반환."""
m = mult if mult is not None else ATR_MULT
n = min_r if min_r is not None else ATR_MIN_R
x = max_r if max_r is not None else ATR_MAX_R
ar = atr_raw if (atr_raw and atr_raw == atr_raw) else 0.0
atr_stop = max(n, min(x, ar * m)) if ar > 0 else x
cur.execute(
"""SELECT ts, close_p FROM backtest_ohlcv
WHERE ticker=:t AND interval_cd='minute1'
AND ts >= :entry
ORDER BY ts FETCH FIRST :n ROWS ONLY""",
{"t": ticker, "entry": entry_ts, "n": MAX_TRAIL_BARS + 1}
)
bars = cur.fetchall()
if not bars:
return dict(status="데이터없음", exit_ts=entry_ts, exit_price=entry_price,
peak=entry_price, peak_pct=0.0, pnl=0.0, atr_stop=atr_stop,
held_bars=0)
running_peak = entry_price
for i, (ts, close_p) in enumerate(bars):
close_p = float(close_p)
running_peak = max(running_peak, close_p)
drop = (running_peak - close_p) / running_peak if running_peak > 0 else 0.0
if drop >= atr_stop:
pnl = (close_p - entry_price) / entry_price * 100
peak_pct = (running_peak - entry_price) / entry_price * 100
return dict(status="손절", exit_ts=ts, exit_price=close_p,
peak=running_peak, peak_pct=peak_pct,
pnl=pnl, atr_stop=atr_stop, held_bars=i + 1)
last_ts, last_price = bars[-1][0], float(bars[-1][1])
pnl = (last_price - entry_price) / entry_price * 100
peak_pct = (running_peak - entry_price) / entry_price * 100
status = "타임아웃" if len(bars) >= MAX_TRAIL_BARS else "진행중"
return dict(status=status, exit_ts=last_ts, exit_price=last_price,
peak=running_peak, peak_pct=peak_pct,
pnl=pnl, atr_stop=atr_stop, held_bars=len(bars))
def apply_pos_limit(sim_results: list, vol_thr: float) -> tuple:
"""VOL 필터 + MAX_POS 동시 포지션 제한 적용. (taken, skipped) 반환."""
filtered = [r for r in sim_results if r['vr'][3] >= vol_thr]
open_positions = []
taken, skipped = [], []
for r in filtered:
open_positions = [ex for ex in open_positions if ex > r['entry_ts']]
if len(open_positions) < MAX_POS:
open_positions.append(r['exit_ts'])
taken.append(r)
else:
skipped.append(r)
return taken, skipped
def print_detail(vol_thr: float, taken: list, skipped: list):
div = "" * 120
print(f"\n{''*120}")
print(f" 4봉 VOL≥{vol_thr:.0f}x | ATR={ATR_MULT}×[{ATR_MIN_R*100:.1f}~{ATR_MAX_R*100:.1f}%] "
f"| 자본 {BUDGET//10000}만원 / 포지션 {PER_POS//10000}만원 / 동시 {MAX_POS}")
print(f"{''*120}\n")
total_krw, total_wins = 0.0, 0
for i, r in enumerate(taken, 1):
vr = r['vr']
entry_str = str(r['entry_ts'])[:16]
exit_str = str(r['exit_ts'])[:16]
krw = PER_POS * (r['pnl'] / 100) - PER_POS * FEE * 2
total_krw += krw
won = r['pnl'] > 0
if won:
total_wins += 1
pr = r['prices']
# 봉별 가격 변화율 (봉1→2, 2→3, 3→4)
pchg = [
(pr[1] - pr[0]) / pr[0] * 100 if pr[0] else 0,
(pr[2] - pr[1]) / pr[1] * 100 if pr[1] else 0,
(pr[3] - pr[2]) / pr[2] * 100 if pr[2] else 0,
]
sign = "" if won else ""
print(f" #{i:02d} {r['ticker']:12s} [{sign}]")
print(f" 가격흐름 {pr[0]:,.0f}{pr[1]:,.0f} ({pchg[0]:+.2f}%)"
f"{pr[2]:,.0f} ({pchg[1]:+.2f}%)"
f"{pr[3]:,.0f} ({pchg[2]:+.2f}%)")
print(f" 볼륨흐름 {vr[0]:.1f}x → {vr[1]:.1f}x → {vr[2]:.1f}x → {vr[3]:.1f}x "
f"(ATR손절 {r['atr_stop']*100:.1f}%)")
print(f" 진입 {entry_str} @ {r['entry_price']:>13,.0f}")
print(f" 고점 {r['peak']:>13,.0f}원 ({r['peak_pct']:>+.2f}%까지 상승)")
print(f" 청산 {exit_str} @ {r['exit_price']:>13,.0f}"
f" ({r['status']}, {r['held_bars']}봉 보유)")
print(f" 손익 {r['pnl']:>+.2f}% → {krw:>+,.0f}")
print()
if skipped:
print(f" ── 스킵 {len(skipped)}건 (포지션 한도 초과) ──")
for r in skipped:
vr = r['vr']
krw_if = PER_POS * (r['pnl'] / 100) - PER_POS * FEE * 2
print(f" SKIP {r['ticker']:12s} 진입 {str(r['entry_ts'])[:16]} "
f"vol {vr[3]:.1f}x → {r['pnl']:>+.2f}% ({krw_if:>+,.0f}원 기회손실)")
print()
n = len(taken)
win_rate = total_wins / n * 100 if n else 0
ret_rate = total_krw / BUDGET * 100
print(div)
print(f" ◆ 실거래 {n}건 | 승률 {win_rate:.0f}% ({total_wins}/{n}) | "
f"합산 {total_krw:>+,.0f}원 | 수익률 {ret_rate:>+.2f}%")
print(div)
def main():
now = datetime.now()
check_since = (now - timedelta(days=LOOKBACK_DAYS)).strftime('%Y-%m-%d 00:00:00')
warmup_since = (now - timedelta(days=LOOKBACK_DAYS + 1)).strftime('%Y-%m-%d 00:00:00')
print(f"=== 4봉 볼륨 가속 시뮬 — VOL {VOL_MIN_LIST} 비교 ===")
print(f"ATR={ATR_MULT}×[{ATR_MIN_R*100:.1f}~{ATR_MAX_R*100:.1f}%], "
f"자본 {BUDGET/10000:.0f}만원 / 포지션당 {PER_POS/10000:.0f}만원 / 동시 {MAX_POS}")
print(f"조회 기간: {check_since[:10]} ~ 현재\n")
conn = _get_conn()
cur = conn.cursor()
cur.arraysize = 10_000
# ── 1회 조회 (VOL_MIN = 가장 낮은 값) ────────────────────────────────────────
cur.execute(SIGNAL_SQL, {
"warmup_since": warmup_since,
"check_since": check_since,
"min_vol": VOL_MIN,
})
rows = cur.fetchall()
if not rows:
print(f"해당 기간 VOL>={VOL_MIN}x 4봉 가속 시그널 없음")
conn.close()
return
# 진입봉 조회
signals = []
for row in rows:
ticker, sig_ts, sig_price, vr0, vr1, vr2, vr3, atr_raw, \
p3, p2, p1, p0 = row
cur.execute(
"""SELECT close_p, ts FROM backtest_ohlcv
WHERE ticker=:t AND interval_cd='minute1'
AND ts > :sig AND ts <= :sig + INTERVAL '3' MINUTE
ORDER BY ts FETCH FIRST 1 ROWS ONLY""",
{"t": ticker, "sig": sig_ts}
)
entry_row = cur.fetchone()
if not entry_row:
continue
entry_price, entry_ts = float(entry_row[0]), entry_row[1]
signals.append({
'ticker': ticker,
'sig_ts': sig_ts,
'entry_ts': entry_ts,
'entry_price': entry_price,
'vr': [float(x) if x else 0.0 for x in [vr3, vr2, vr1, vr0]],
'prices': [float(x) if x else 0.0 for x in [p3, p2, p1, p0]],
'atr_raw': float(atr_raw) if atr_raw else 0.0,
})
if not signals:
print("진입봉을 찾을 수 없음")
conn.close()
return
# ── trail stop 시뮬 — 시나리오별 ─────────────────────────────────────────────
signals.sort(key=lambda x: x['entry_ts'])
vol_thr = VOL_MIN_LIST[0]
# 각 시나리오에 맞는 bars를 재사용하기 위해 기본(가장 느슨한) 시나리오로 bars 캐시
# (atr_stop 달라도 bars 조회는 동일하므로 1회만 fetch)
print(f"시그널 {len(signals)}건 trail stop 시뮬 중 ({len(ATR_SCENARIOS)}가지 ATR 비교)...", flush=True)
# 시나리오별 결과 수집
scenario_results = []
for mult, min_r, max_r in ATR_SCENARIOS:
sim = []
for s in signals:
trail = simulate_trail(cur, s['ticker'], s['entry_ts'], s['entry_price'],
s['atr_raw'], mult=mult, min_r=min_r, max_r=max_r)
sim.append({**s, **trail})
taken, skipped = apply_pos_limit(sim, vol_thr)
scenario_results.append((mult, min_r, max_r, taken, skipped))
# ── 시나리오 요약 비교표 ──────────────────────────────────────────────────────
print(f"\n{''*95}")
print(f" {'ATR 설정':22s} {'거래':>4s} {'승률':>5s} {'합산손익':>12s} {'수익률':>6s} {'평균보유(분)':>10s}")
print(f"{''*95}")
best_krw = max(sum(PER_POS*(r['pnl']/100) - PER_POS*FEE*2 for r in taken)
for _, _, _, taken, _ in scenario_results)
for mult, min_r, max_r, taken, skipped in scenario_results:
n = len(taken)
if n == 0:
continue
wins = sum(1 for r in taken if r['pnl'] > 0)
total = sum(PER_POS*(r['pnl']/100) - PER_POS*FEE*2 for r in taken)
avg_held = sum(r['held_bars'] for r in taken) / n
ret = total / BUDGET * 100
label = f"{mult:.1f}×ATR [{min_r*100:.1f}~{max_r*100:.1f}%]"
star = "" if abs(total - best_krw) < 1 else ""
print(f" {label:22s} {n:>4d}{wins/n*100:>4.0f}% {total:>+12,.0f}{ret:>+5.2f}%"
f" {avg_held:>6.0f}{star}")
print(f"{''*95}")
# ── 최적 시나리오 건별 상세 출력 ─────────────────────────────────────────────
best_idx = max(range(len(scenario_results)),
key=lambda i: sum(PER_POS*(r['pnl']/100) - PER_POS*FEE*2
for r in scenario_results[i][3]))
bm, bn, bx, best_taken, best_skipped = scenario_results[best_idx]
print(f"\n[최적 시나리오 건별 상세: {bm:.1f}×ATR {bn*100:.1f}~{bx*100:.1f}%]")
print_detail(vol_thr, best_taken, best_skipped)
conn.close()
if __name__ == '__main__':
main()