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
2026-06-23 19:25:49 +02:00
commit 633b033f4d
59 changed files with 3868 additions and 0 deletions
--- a/dashboard/Dockerfile
+++ b/dashboard/Dockerfile
@@ -0,0 +1,13 @@
+# Dashboard « Insights IA » (FastAPI).
+FROM python:3.11-slim
+
+WORKDIR /app
+COPY dashboard/requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY dashboard/ /app/
+
+ENV REDIS_URL=redis://redis:6379/0 \
+    FREQUI_URL=http://127.0.0.1:8080
+
+EXPOSE 8500
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8500"]
--- a/dashboard/app.py
+++ b/dashboard/app.py
@@ -0,0 +1,113 @@
+"""Dashboard MidasBot — panneau « Insights IA ».
+
+Affiche les derniers biais de marché produits par Claude (lus depuis Redis) et
+un lien vers FreqUI (positions / P&L / trades). Volontairement minimal et autonome
+(pas de dépendance au package ai_analyzer).
+"""
+from __future__ import annotations
+
+import json
+import os
+from datetime import datetime, timezone
+
+import redis
+from fastapi import FastAPI
+from fastapi.responses import HTMLResponse, JSONResponse
+
+REDIS_URL = os.environ.get("REDIS_URL", "redis://localhost:6379/0")
+FREQUI_URL = os.environ.get("FREQUI_URL", "http://127.0.0.1:8080")
+
+app = FastAPI(title="MidasBot Dashboard")
+
+
+def _redis() -> redis.Redis:
+    return redis.Redis.from_url(REDIS_URL, decode_responses=True)
+
+
+def _read_biases() -> list[dict]:
+    r = _redis()
+    out: list[dict] = []
+    try:
+        for key in r.scan_iter("bias:*"):
+            raw = r.get(key)
+            if not raw:
+                continue
+            try:
+                out.append(json.loads(raw))
+            except json.JSONDecodeError:
+                continue
+    except redis.RedisError:
+        return []
+    out.sort(key=lambda b: b.get("pair", ""))
+    return out
+
+
+@app.get("/api/biases")
+def api_biases() -> JSONResponse:
+    return JSONResponse({"biases": _read_biases(), "generated_at": _now()})
+
+
+@app.get("/api/health")
+def health() -> dict:
+    try:
+        _redis().ping()
+        redis_ok = True
+    except redis.RedisError:
+        redis_ok = False
+    return {"status": "ok", "redis": redis_ok}
+
+
+def _now() -> str:
+    return datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
+
+
+_COLORS = {"bullish": "#16a34a", "bearish": "#dc2626", "neutral": "#6b7280"}
+
+
+@app.get("/", response_class=HTMLResponse)
+def index() -> str:
+    biases = _read_biases()
+    if biases:
+        rows = "\n".join(
+            f"""<tr>
+              <td class="pair">{b.get('pair','?')}</td>
+              <td><span class="badge" style="background:{_COLORS.get(b.get('direction'),'#6b7280')}">{b.get('direction','?')}</span></td>
+              <td>{float(b.get('confidence',0)):.0%}</td>
+              <td class="rat">{b.get('rationale','')}</td>
+              <td>{b.get('key_support','—')}</td>
+              <td>{b.get('key_resistance','—')}</td>
+            </tr>"""
+            for b in biases
+        )
+    else:
+        rows = '<tr><td colspan="6" class="empty">Aucun biais en cache. Lance l\'analyzer (ai-analyzer).</td></tr>'
+
+    return f"""<!doctype html>
+<html lang="fr"><head>
+<meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1">
+<meta http-equiv="refresh" content="30">
+<title>MidasBot — Insights IA</title>
+<style>
+  :root {{ color-scheme: dark; }}
+  body {{ font-family: system-ui, sans-serif; background:#0b0e14; color:#e6e6e6; margin:0; padding:2rem; }}
+  h1 {{ margin:0 0 .25rem; font-size:1.5rem; }}
+  .sub {{ color:#8b95a7; margin-bottom:1.5rem; font-size:.9rem; }}
+  a {{ color:#60a5fa; }}
+  table {{ width:100%; border-collapse:collapse; background:#111722; border-radius:10px; overflow:hidden; }}
+  th, td {{ padding:.7rem .9rem; text-align:left; border-bottom:1px solid #1f2937; vertical-align:top; }}
+  th {{ background:#0f1521; color:#94a3b8; font-weight:600; font-size:.8rem; text-transform:uppercase; letter-spacing:.04em; }}
+  .pair {{ font-weight:700; }}
+  .rat {{ color:#cbd5e1; font-size:.9rem; max-width:520px; }}
+  .badge {{ color:#fff; padding:.15rem .55rem; border-radius:999px; font-size:.8rem; text-transform:capitalize; }}
+  .empty {{ color:#8b95a7; text-align:center; padding:2rem; }}
+  .links {{ margin-top:1.5rem; }}
+</style></head>
+<body>
+  <h1>🪙 MidasBot — Insights IA</h1>
+  <div class="sub">Biais de marché produits par Claude · {_now()} · rafraîchissement auto 30 s · <strong>DRY-RUN</strong></div>
+  <table>
+    <thead><tr><th>Paire</th><th>Biais</th><th>Confiance</th><th>Justification</th><th>Support</th><th>Résistance</th></tr></thead>
+    <tbody>{rows}</tbody>
+  </table>
+  <div class="links">📊 <a href="{FREQUI_URL}" target="_blank">Ouvrir FreqUI</a> (positions, P&amp;L, trades) &nbsp;·&nbsp; <a href="/api/biases">API JSON</a></div>
+</body></html>"""
--- a/dashboard/requirements.txt
+++ b/dashboard/requirements.txt
@@ -0,0 +1,3 @@
+fastapi>=0.110
+uvicorn[standard]>=0.27
+redis>=5.0