refactor: rename project from Predix to NexQuant

Rename all source files, scripts, tests, documentation, and configuration
from Predix/predix to NexQuant/nexquant across the entire codebase.

scripts/nexquant_rebacktest_parent.py

@@ -0,0 +1,75 @@
+#!/usr/bin/env python
+"""Parent orchestrator: calls nexquant_rebacktest_one.py for each strategy."""
+import json, subprocess, sys
+from pathlib import Path
+from datetime import datetime
+
+STRAT_DIR = Path("results/strategies_new")
+
+# Build work list
+work = []
+for f in sorted(STRAT_DIR.glob("*.json")):
+    if "verified_v2" in f.read_text():
+        continue
+    try:
+        d = json.loads(f.read_text())
+    except Exception:
+        continue
+    if d.get("factor_names") and d.get("code"):
+        work.append(f)
+
+print(f"{len(work)} strategies to re-backtest", flush=True)
+
+ok = skip = fail = 0
+start = datetime.now()
+
+for i, f in enumerate(work):
+    name = f.stem[:45]
+    print(f"[{i+1}/{len(work)}] {name} ...", end=" ", flush=True)
+    try:
+        r = subprocess.run(
+            ["timeout", "-s", "KILL", "90", "python", "scripts/nexquant_rebacktest_one.py", str(f)],
+            capture_output=True, text=True, timeout=120,
+            stdin=subprocess.DEVNULL,
+        )
+        result = json.loads(r.stdout.strip() or "{}")
+    except subprocess.TimeoutExpired:
+        print("TIMEOUT", flush=True)
+        fail += 1
+        continue
+    except Exception as e:
+        print(f"ERROR: {e}", flush=True)
+        fail += 1
+        continue
+
+    if result.get("status") == "ok":
+        data = json.loads(f.read_text())
+        data["reevaluation_status"] = "verified_v2"
+        data["sharpe_ratio"] = result.get("sharpe")
+        data["max_drawdown"] = result.get("max_drawdown")
+        data["win_rate"] = result.get("win_rate")
+        data["total_return"] = result.get("total_return")
+        data["summary"] = {
+            **data.get("summary", {}),
+            "sharpe": result.get("sharpe"),
+            "max_drawdown": result.get("max_drawdown"),
+            "win_rate": result.get("win_rate"),
+            "monthly_return_pct": result.get("monthly_return_pct"),
+            "real_n_trades": result.get("n_trades"),
+            "total_return": result.get("total_return"),
+            "annualized_return": result.get("annualized_return"),
+            "engine": "verified_v2",
+            "txn_cost_bps": 2.14,
+        }
+        f.write_text(json.dumps(data, indent=2, ensure_ascii=False))
+        ok += 1
+        print(f"S={result['sharpe']:.1f} DD={result['max_drawdown']:.2%} WR={result['win_rate']:.1%} T={result['n_trades']}", flush=True)
+    elif result.get("status") == "skipped":
+        skip += 1
+        print(f"SKIP: {result.get('reason', '?')}", flush=True)
+    else:
+        fail += 1
+        print(f"FAIL: {result.get('stderr', result.get('error', '?'))[:100]}", flush=True)
+
+elapsed = (datetime.now() - start).total_seconds()
+print(f"\nDONE: ok={ok} skip={skip} fail={fail} in {elapsed:.0f}s", flush=True)