refactor: GT·시뮬·운영 3축 정리 및 hybrid 실거래 정합

Phase C/dry-run·미사용 모듈·재생성 HTML을 제거하고, 운영 체결을
sim_causal_hybrid와 동일한 hybrid 로직으로 통합한다.

Co-authored-by: Cursor <cursoragent@cursor.com>

deepcoin/analysis/README.md

@@ -1,6 +0,0 @@
-# analysis — 03·03b 기술적 분석
-
-- **03 enrich**: `general_analysis_enrich_runner.py` — 봉 전구간 지표·패턴 → `docs/03_analysis/latest/`
-- **03b GT 스냅샷**: `general_analysis_runner.py` — 정답 매수·매도 시점 MTF 상태 → `general_analysis_trades.csv`
-
-실행은 `scripts/03_analyze_enrich.py`, `scripts/03_analyze_trades.py`만 사용합니다.

deepcoin/analysis/general_analysis_enrich_runner.py

@@ -140,7 +140,7 @@ def main() -> None:
         flat_vote.update(general_analysis_mtf_scores(prefixed))
 
     write_capability_html(summaries, flat_vote, ANALYSIS_CAPABILITY_HTML)
-    print(f"점검 리포트: {cap_path}")
+    print(f"점검 리포트: {ANALYSIS_CAPABILITY_HTML}")
     print("완료.")
 
 

deepcoin/analysis/general_analysis_snapshot.py

@@ -45,7 +45,9 @@ def build_trade_mtf_snapshots(
     n_trades = len(trades)
     enriched: dict[int, pd.DataFrame] = {}
     t0 = time.time()
-    print(f"[03b] Phase A: 8TF enrich (1분봉 제외, 전 기법) — {len(GENERAL_ANALYSIS_INTERVALS)}개 간격")
+    print(
+        f"[03b] MTF enrich (주·월봉 포함) — {len(GENERAL_ANALYSIS_INTERVALS)}개 간격"
+    )
     sys.stdout.flush()
     for step, iv in enumerate(GENERAL_ANALYSIS_INTERVALS, start=1):
         raw = frames.get(iv)
@@ -104,46 +106,6 @@ def build_trade_mtf_snapshots(
     return pd.DataFrame(rows)
 
 
-def append_missing_gt_snapshots(
-    frames: dict[int, pd.DataFrame],
-    trades_path: Path | str = DEFAULT_TRADES_FILE,
-    output_csv: Path | str = DEFAULT_OUTPUT_CSV,
-) -> int:
-    """
-    CSV에 없는 GT 타점만 MTF 스냅샷 추가.
-
-    Args:
-        frames: interval → OHLCV.
-        trades_path: ground_truth JSON.
-        output_csv: 03b CSV.
-
-    Returns:
-        추가된 행 수.
-    """
-    out = Path(output_csv)
-    if not out.is_file():
-        return 0
-    data = load_ground_truth(Path(trades_path))
-    if not data:
-        return 0
-    trades = data.get("trades") or []
-    existing = pd.read_csv(out)
-    have = set(zip(existing["dt"].astype(str), existing["action"].astype(str)))
-    missing = [
-        t
-        for t in trades
-        if (str(t["dt"]), str(t["action"])) not in have
-    ]
-    if not missing:
-        return 0
-    print(f"[03b] 누락 GT 타점 {len(missing)}건 스냅샷 추가")
-    add_df = build_trade_mtf_snapshots(frames, missing)
-    merged = pd.concat([existing, add_df], ignore_index=True)
-    merged.to_csv(out, index=False, encoding="utf-8-sig")
-    print(f"[03b] CSV 갱신: {out} ({len(merged)}행)")
-    return len(missing)
-
-
 def export_trade_snapshots(
     frames: dict[int, pd.DataFrame],
     trades_path: Path | str = DEFAULT_TRADES_FILE,