MidasBot: bot trading crypto IA + stratégies Ichimoku validées

- Infra: Freqtrade (futures dry-run) + Redis + dashboard + Docker Compose
- Couche IA: ai_analyzer (Claude via abonnement, MCP TradingView, backfill biais)
- Stratégies: SampleStrategy, AiBiasStrategy, IchimokuLS (long/short, validée
  train/test + données vierges + walk-forward), MTFIchimoku, variantes hyperopt
- Arbitrage CEX (dry-run), backtesting, walk-forward, volatility targeting
- IchimokuLS en dry-run live (config_live.json)

Claude-Session: https://claude.ai/code/session_01VHETcFacdnDhQzthLpdYFR

arbitrage/cex_arb.py

@@ -0,0 +1,169 @@
+"""Module d'arbitrage inter-CEX (Phase 4) — DRY-RUN.
+
+Scanne en continu les écarts de prix d'une même paire entre plusieurs exchanges
+centralisés (via ccxt) et journalise les opportunités nettes (après frais).
+AUCUNE exécution réelle : on se contente de détecter et journaliser.
+
+L'interface `ArbStrategy` est abstraite pour brancher plus tard l'arbitrage
+triangulaire ou DEX sans réécrire le scanner.
+
+Usage :
+    python cex_arb.py --once
+    python cex_arb.py                  # boucle continue
+"""
+from __future__ import annotations
+
+import argparse
+import os
+import time
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Optional
+
+import ccxt
+
+# Frais taker par défaut (fraction). Ajuster selon ton palier réel sur chaque exchange.
+DEFAULT_TAKER_FEE = {
+    "binance": 0.001,
+    "kraken": 0.0026,
+    "coinbase": 0.006,
+    "bybit": 0.001,
+}
+
+EXCHANGES = os.environ.get("ARB_EXCHANGES", "binance,kraken").split(",")
+PAIRS = os.environ.get("ARB_PAIRS", "BTC/USDT,ETH/USDT").split(",")
+MIN_NET_SPREAD_PCT = float(os.environ.get("ARB_MIN_SPREAD_PCT", "0.2"))  # seuil net %
+INTERVAL_S = int(os.environ.get("ARB_INTERVAL_S", "30"))
+
+
+def _log(msg: str) -> None:
+    ts = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
+    print(f"[arb {ts}] {msg}", flush=True)
+
+
+@dataclass
+class ArbOpportunity:
+    pair: str
+    buy_exchange: str
+    sell_exchange: str
+    buy_price: float
+    sell_price: float
+    gross_spread_pct: float
+    net_spread_pct: float  # après frais taker des deux côtés
+
+
+class ArbStrategy(ABC):
+    """Interface d'une stratégie d'arbitrage (extensible : triangulaire, DEX…)."""
+
+    @abstractmethod
+    def scan(self) -> list[ArbOpportunity]:  # pragma: no cover - interface
+        ...
+
+
+class CrossExchangeArb(ArbStrategy):
+    """Arbitrage 'spatial' : même paire, deux exchanges, acheter bas / vendre haut."""
+
+    def __init__(self, exchange_names: list[str], pairs: list[str]) -> None:
+        self.pairs = pairs
+        self.clients: dict[str, ccxt.Exchange] = {}
+        for name in exchange_names:
+            name = name.strip()
+            try:
+                self.clients[name] = getattr(ccxt, name)({"enableRateLimit": True})
+            except Exception as exc:  # noqa: BLE001
+                _log(f"exchange '{name}' indisponible: {exc}")
+
+    def _fee(self, exchange: str) -> float:
+        return DEFAULT_TAKER_FEE.get(exchange, 0.001)
+
+    def _ticker(self, exchange: str, pair: str) -> Optional[dict]:
+        client = self.clients.get(exchange)
+        if client is None:
+            return None
+        try:
+            return client.fetch_ticker(pair)
+        except Exception:  # noqa: BLE001 — paire absente / erreur réseau : on ignore
+            return None
+
+    def scan(self) -> list[ArbOpportunity]:
+        opportunities: list[ArbOpportunity] = []
+        names = list(self.clients.keys())
+
+        for pair in self.pairs:
+            # Récupère le prix (last) sur chaque exchange.
+            prices: dict[str, float] = {}
+            for ex in names:
+                t = self._ticker(ex, pair)
+                if t and t.get("last"):
+                    prices[ex] = float(t["last"])
+
+            if len(prices) < 2:
+                continue
+
+            # Compare toutes les paires d'exchanges dans les deux sens.
+            for buy_ex, buy_price in prices.items():
+                for sell_ex, sell_price in prices.items():
+                    if buy_ex == sell_ex or sell_price <= buy_price:
+                        continue
+                    gross = (sell_price - buy_price) / buy_price * 100
+                    # Coût aller-retour : frais à l'achat + frais à la vente.
+                    net = (
+                        sell_price * (1 - self._fee(sell_ex))
+                        - buy_price * (1 + self._fee(buy_ex))
+                    ) / buy_price * 100
+                    if net >= MIN_NET_SPREAD_PCT:
+                        opportunities.append(
+                            ArbOpportunity(
+                                pair=pair,
+                                buy_exchange=buy_ex,
+                                sell_exchange=sell_ex,
+                                buy_price=round(buy_price, 6),
+                                sell_price=round(sell_price, 6),
+                                gross_spread_pct=round(gross, 3),
+                                net_spread_pct=round(net, 3),
+                            )
+                        )
+        return opportunities
+
+
+def run_cycle(strategy: ArbStrategy) -> int:
+    opportunities = strategy.scan()
+    if not opportunities:
+        _log("aucune opportunité au-dessus du seuil.")
+        return 0
+    for opp in opportunities:
+        _log(
+            f"💡 {opp.pair} : acheter {opp.buy_exchange} @ {opp.buy_price} → "
+            f"vendre {opp.sell_exchange} @ {opp.sell_price} | "
+            f"net {opp.net_spread_pct:.3f}% (brut {opp.gross_spread_pct:.3f}%) [DRY-RUN]"
+        )
+    return len(opportunities)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="MidasBot — arbitrage CEX (dry-run)")
+    parser.add_argument("--once", action="store_true", help="un seul scan puis sortie")
+    args = parser.parse_args()
+
+    pairs = [p.strip() for p in PAIRS if p.strip()]
+    strategy = CrossExchangeArb(EXCHANGES, pairs)
+    _log(
+        f"Scanner inter-CEX : {list(strategy.clients.keys())} | paires {pairs} | "
+        f"seuil net {MIN_NET_SPREAD_PCT}% | DRY-RUN"
+    )
+
+    if args.once:
+        run_cycle(strategy)
+        return
+
+    while True:
+        try:
+            run_cycle(strategy)
+        except Exception as exc:  # noqa: BLE001
+            _log(f"erreur: {exc}")
+        time.sleep(INTERVAL_S)
+
+
+if __name__ == "__main__":
+    main()