feat: paper trading live su Deribit testnet — squeeze+ML ibrida

Sistema completo: client Cerbero MCP, signal engine (squeeze + GBM), paper trader con gestione posizioni, stop loss, log JSONL. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 09:36:47 +02:00
parent 1617330d10
commit 6e9862c183
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+"""Mostra lo stato del paper trader."""
+from __future__ import annotations
+import sys
+sys.path.insert(0, ".")
+
+import json
+from pathlib import Path
+from src.live.cerbero_client import CerberoClient
+
+LOG_DIR = Path("data/paper_trades")
+
+print("=" * 50)
+print("  PAPER TRADER STATUS")
+print("=" * 50)
+
+# Status file
+status_path = LOG_DIR / "status.json"
+if status_path.exists():
+    with open(status_path) as f:
+        status = json.load(f)
+    print(f"\n  In posizione: {status['in_position']}")
+    if status["in_position"]:
+        print(f"  Direzione:    {status['direction']}")
+        print(f"  Entry price:  {status['entry_price']}")
+        print(f"  Entry time:   {status['entry_time']}")
+        print(f"  Barre tenute: {status['bars_held']}")
+    print(f"  Ultimo update: {status['last_update']}")
+else:
+    print("\n  Nessun file di stato trovato.")
+
+# Account
+print("\n--- ACCOUNT DERIBIT TESTNET ---")
+c = CerberoClient()
+try:
+    acc = c.get_account_summary()
+    print(f"  Equity:  {acc['equity']:.2f}")
+    print(f"  Balance: {acc['balance']:.2f}")
+    print(f"  PnL:     {acc['total_pnl']:.2f}")
+except Exception as e:
+    print(f"  Errore: {e}")
+
+# Posizioni
+try:
+    pos = c.get_positions()
+    print(f"\n  Posizioni aperte: {len(pos)}")
+    for p in pos:
+        print(f"    {p}")
+except Exception as e:
+    print(f"  Errore: {e}")
+
+# Ultimi log
+print("\n--- ULTIMI LOG ---")
+log_files = sorted(LOG_DIR.glob("trades_*.jsonl"))
+if log_files:
+    with open(log_files[-1]) as f:
+        lines = f.readlines()
+    for line in lines[-10:]:
+        entry = json.loads(line)
+        print(f"  [{entry['timestamp'][:19]}] {entry['event']}")
+else:
+    print("  Nessun log trovato.")
+
+# Statistiche trade
+all_trades = []
+for lf in log_files:
+    with open(lf) as f:
+        for line in f:
+            entry = json.loads(line)
+            if entry["event"] == "CLOSED":
+                all_trades.append(entry)
+
+if all_trades:
+    wins = sum(1 for t in all_trades if t.get("pnl_pct", 0) > 0)
+    total = len(all_trades)
+    total_pnl = sum(t.get("pnl_pct", 0) for t in all_trades)
+    print(f"\n--- STATISTICHE ---")
+    print(f"  Trade chiusi: {total}")
+    print(f"  Win rate:     {wins/total*100:.0f}%")
+    print(f"  PnL totale:   {total_pnl:.2f}%")