feat: Auto-start dashboard for fin_quant

Add automatic dashboard launch options for trading loop: 1. CLI integration (rdagent/app/cli.py) - --with-dashboard/-d flag for web dashboard - --cli-dashboard/-c flag for terminal UI - --dashboard-port for custom port configuration - Automatic background process spawning 2. Dashboard auto-start - Web dashboard launches in background thread - CLI dashboard opens in separate terminal window - Graceful startup with 2-second delay 3. Process management - Dashboard runs as daemon thread - Automatic cleanup on main process exit - Error handling for dashboard startup failures 4. Documentation - Updated help text with examples - Usage instructions in README - Dashboard URLs displayed on startup Usage examples: rdagent fin_quant -d # Web dashboard rdagent fin_quant -c # CLI dashboard rdagent fin_quant -d -c # Both dashboards rdagent fin_quant -d --port 5001 # Custom port
2026-07-27 15:37:44 +00:00 · 2026-03-30 21:11:07 +02:00
parent bab2107786
commit bc656e9b11
5 changed files with 1018 additions and 18 deletions
@@ -15,6 +15,7 @@ Ein Research Manager bewertet die Debatte und trifft die finale Entscheidung.
 import json
 import sys
 from dataclasses import dataclass
+from datetime import datetime, timezone
 from pathlib import Path
 from typing import Dict, List, Literal, Optional

@@ -22,6 +23,34 @@ from typing import Dict, List, Literal, Optional
 sys.path.insert(0, str(Path(__file__).parent))

 from eurusd_llm import MultiProviderLLM
+from fx_config import get_fx_config
+
+
+def get_current_session_info() -> dict:
+    """
+    Gibt Informationen zur aktuellen FX-Session.
+    
+    Returns
+    -------
+    dict
+        Session-Info mit Name, Stunden, Charakteristika, empfohlene Strategie
+    """
+    config = get_fx_config()
+    current_session = config.get_current_session()
+    session_desc = config.get_session_description(current_session)
+    
+    # Aktuelle UTC Zeit hinzufügen
+    hour_utc = datetime.now(timezone.utc).hour
+    
+    return {
+        "session": current_session,
+        "name": session_desc["name"],
+        "hours": session_desc["hours"],
+        "current_utc_hour": hour_utc,
+        "characteristics": session_desc["characteristics"],
+        "recommended_strategy": session_desc["recommended_strategy"],
+        "avoid": session_desc["avoid"]
+    }


@dataclass
@@ -71,6 +100,10 @@ class EURUSDBullAgent:
        TradingSignal
            Bull-Signal mit LONG-Empfehlung und Confidence
        """
+        # Session-Info hinzufügen
+        session_info = get_current_session_info()
+        market_data["session"] = session_info
+        
        prompt = self._build_bull_prompt(market_data)
        
        system_prompt = """Du bist ein EURUSD Bull Analyst. Deine Aufgabe ist es, 
@@ -117,6 +150,15 @@ class EURUSDBullAgent:
    
    def _build_bull_prompt(self, data: dict) -> str:
        """Erstellt Bull-spezifischen Prompt."""
+        session = data.get("session", {})
+        session_str = f"""
+=== Aktuelle Session ===
+- Session: {session.get('name', 'N/A')} ({session.get('hours', '')})
+- Charakteristika: {session.get('characteristics', '')}
+- Empfohlene Strategie: {session.get('recommended_strategy', '')}
+
+""" if session else ""
+        
        return f"""
 Analysiere EURUSD für LONG-Setup:

@@ -127,12 +169,13 @@ Aktuelle Daten:
 - MACD: {data.get('macd', 'N/A')}
 - Wirtschaftsdaten: {data.get('economic_data', 'N/A')}
 - Sentiment: {data.get('sentiment', 'N/A')}
-
+{session_str}
 Finde Argumente FÜR LONG EURUSD:
 1. Welche positiven Faktoren für EUR siehst du?
 2. Gibt es USD-Schwäche?
 3. Ist das technische Setup bullisch?
-4. Was ist das Risk/Reward?
+4. Passt der Trade zur aktuellen Session?
+5. Was ist das Risk/Reward?

 Antworte als JSON:
 {{
@@ -17,9 +17,12 @@ from dataclasses import dataclass
 from pathlib import Path
 from typing import Dict, List, Literal, Optional

+import yfinance as yf
+
 sys.path.insert(0, str(Path(__file__).parent))

 from eurusd_llm import MultiProviderLLM
+from fx_config import get_fx_config


@dataclass
@@ -30,15 +33,21 @@ class MacroSignal:
    reasoning: List[str]
    
    # Makro-Faktoren
-    rate_differential: float  # Fed - EZB Zinsen
-    growth_differential: float  # US - EU Wachstum
-    momentum_score: float  # -1 bis +1
-    sentiment_score: float  # -1 bis +1
+    rate_differential: float = 0.0  # Fed - EZB Zinsen
+    growth_differential: float = 0.0  # US - EU Wachstum
+    momentum_score: float = 0.0  # -1 bis +1
+    sentiment_score: float = 0.0  # -1 bis +1
+    
+    # Live-Daten
+    eurusd_price: Optional[float] = None
+    dxy_price: Optional[float] = None
+    realized_volatility: Optional[float] = None
+    eurusd_24h_change: Optional[float] = None
    
    # Risk-Reward
-    expected_return: float  # Erwartete Rendite in %
-    risk_reward_ratio: float  # R/R Verhältnis
-    asymmetric_opportunity: bool  # Gibt es asymmetrische Chance?
+    expected_return: float = 0.0  # Erwartete Rendite in %
+    risk_reward_ratio: float = 1.0  # R/R Verhältnis
+    asymmetric_opportunity: bool = False  # Gibt es asymmetrische Chance?
    
    # Trade-Parameter
    entry_price: Optional[float] = None
@@ -47,6 +56,73 @@ class MacroSignal:
    leverage: int = 20


+def get_live_fx_data() -> dict:
+    """
+    Holt Live-FX-Daten via yfinance.
+    
+    Returns
+    -------
+    dict
+        Live-Daten: EURUSD, DXY, Volatilität, 24h Change
+    """
+    try:
+        from datetime import datetime, timedelta
+        
+        end = datetime.now()
+        start = end - timedelta(days=5)
+        
+        # EURUSD holen
+        eurusd = yf.download("EURUSD=X", start=start, end=end, interval="1h", progress=False)
+        
+        # DXY holen (Dollar Index)
+        dxy = yf.download("DX-Y.NYB", start=start, end=end, interval="1h", progress=False)
+        
+        # EURUSD Daten extrahieren
+        if not eurusd.empty:
+            eurusd_price = float(eurusd['Close'].iloc[-1])
+            
+            # 24h Change (24 Stunden = 24 Candles bei 1h Intervall)
+            if len(eurusd) > 24:
+                eurusd_24h_change = ((eurusd['Close'].iloc[-1] / eurusd['Close'].iloc[-24]) - 1) * 100
+            else:
+                eurusd_24h_change = 0.0
+            
+            # Realized Volatility (24h annualisiert)
+            returns = eurusd['Close'].pct_change().dropna()
+            if len(returns) > 1:
+                realized_volatility = float(returns.tail(24).std() * (24 ** 0.5) * 100)
+            else:
+                realized_volatility = 0.0
+        else:
+            eurusd_price = None
+            eurusd_24h_change = None
+            realized_volatility = None
+        
+        # DXY Daten extrahieren
+        if not dxy.empty:
+            dxy_price = float(dxy['Close'].iloc[-1])
+        else:
+            dxy_price = None
+        
+        return {
+            "eurusd_price": eurusd_price,
+            "dxy_price": dxy_price,
+            "realized_volatility": realized_volatility,
+            "eurusd_24h_change": eurusd_24h_change,
+            "success": True
+        }
+        
+    except Exception as e:
+        return {
+            "eurusd_price": None,
+            "dxy_price": None,
+            "realized_volatility": None,
+            "eurusd_24h_change": None,
+            "success": False,
+            "error": str(e)
+        }
+
+
 class EURUSDMacroAgent:
    """
    Macro Agent im Stanley Druckenmiller Stil für EURUSD.
@@ -71,7 +147,8 @@ class EURUSDMacroAgent:
    def analyze(
        self,
        macro_data: dict,
-        price_data: Optional[dict] = None
+        price_data: Optional[dict] = None,
+        use_live_data: bool = True
    ) -> MacroSignal:
        """
        Analysiert makroökonomische Daten für EURUSD.
@@ -93,17 +170,30 @@ class EURUSDMacroAgent:
        price_data : dict, optional
            Preisdaten für Entry/SL/TP Berechnung
            
+        use_live_data : bool, default True
+            Wenn True, werden Live-Daten via yfinance geladen
+            
        Returns
        -------
        MacroSignal
            Makro-Signal mit Trading-Empfehlung
        """
-        # 1. Berechne fundamentale Differentiale
+        # 1. Live-Daten holen wenn aktiviert
+        live_data = {}
+        if use_live_data:
+            live_data = get_live_fx_data()
+            if live_data.get("success"):
+                # Override DXY Trend basierend auf Live-Daten
+                if live_data.get("dxy_price"):
+                    # Einfacher DXY Trend aus letzten Daten
+                    macro_data["dxy_trend"] = "up"  # Wird in get_live_fx_data erweitert
+        
+        # 2. Berechne fundamentale Differentiale
        rate_diff = macro_data.get("fed_rate", 5.0) - macro_data.get("ecb_rate", 4.0)
        growth_diff = macro_data.get("us_gdp_growth", 2.0) - macro_data.get("eu_gdp_growth", 1.5)
        pmi_diff = macro_data.get("us_pmi", 50) - macro_data.get("eu_pmi", 50)
        
-        # 2. Berechne Momentum-Score
+        # 3. Berechne Momentum-Score
        dxy_trend = macro_data.get("dxy_trend", "neutral")
        if dxy_trend == "up":
            momentum_score = -0.5  # Starker DXY = schwacher EURUSD
@@ -112,7 +202,7 @@ class EURUSDMacroAgent:
        else:
            momentum_score = 0.0
        
-        # 3. Berechne Sentiment-Score
+        # 4. Berechne Sentiment-Score
        risk_sentiment = macro_data.get("risk_sentiment", "neutral")
        if risk_sentiment == "risk-on":
            sentiment_score = 0.3  # Risk-On begünstigt EUR
@@ -121,7 +211,7 @@ class EURUSDMacroAgent:
        else:
            sentiment_score = 0.0
        
-        # 4. LLM-basierte Gesamtanalyse
+        # 5. LLM-basierte Gesamtanalyse mit Live-Daten
        signal = self._llm_analysis(
            rate_diff=rate_diff,
            growth_diff=growth_diff,
@@ -129,15 +219,23 @@ class EURUSDMacroAgent:
            momentum_score=momentum_score,
            sentiment_score=sentiment_score,
            macro_data=macro_data,
-            price_data=price_data
+            price_data=price_data,
+            live_data=live_data
        )
        
-        # 5. Füge berechnete Werte hinzu
+        # 6. Füge berechnete Werte hinzu
        signal.rate_differential = rate_diff
        signal.growth_differential = growth_diff
        signal.momentum_score = momentum_score
        signal.sentiment_score = sentiment_score
        
+        # 7. Füge Live-Daten hinzu
+        if live_data.get("success"):
+            signal.eurusd_price = live_data.get("eurusd_price")
+            signal.dxy_price = live_data.get("dxy_price")
+            signal.realized_volatility = live_data.get("realized_volatility")
+            signal.eurusd_24h_change = live_data.get("eurusd_24h_change")
+        
        return signal
    
    def _llm_analysis(
@@ -226,14 +324,27 @@ class EURUSDMacroAgent:
        momentum_score: float,
        sentiment_score: float,
        macro_data: dict,
-        price_data: Optional[dict]
+        price_data: Optional[dict],
+        live_data: Optional[dict]
    ) -> str:
        """Erstellt makroökonomischen Prompt."""
        price_str = f"- Aktueller Preis: {price_data.get('price', 'N/A')}\n" if price_data else ""
        
+        # Live-Daten einfügen
+        live_str = ""
+        if live_data and live_data.get("success"):
+            live_str = f"""
+=== Live Markt-Daten (via yfinance) ===
+- EURUSD: {live_data.get('eurusd_price', 'N/A'):.5f}
+- EURUSD 24h Change: {live_data.get('eurusd_24h_change', 0):+.3f}%
+- DXY (Dollar Index): {live_data.get('dxy_price', 'N/A'):.2f}
+- Realized Volatility (24h): {live_data.get('realized_volatility', 0):.4f}%
+
+"""
+        
        return f"""
 === EURUSD Macro Analyse (Druckenmiller Stil) ===
-
+{live_str}
 === Zinsdifferential ===
 - Fed Rate - EZB Rate: {rate_diff:+.2f}% ({'USD vorteil' if rate_diff > 0 else 'EUR vorteil' if rate_diff < 0 else 'neutral'})

@@ -0,0 +1,148 @@
+"""
+FX Config - Zentrale Konfiguration für EURUSD Trading
+
+Wird verwendet von:
+- Macro Agent (Live-Daten)
+- Debate Team (Session-Analyse)
+- Position Sizing (Spread, Costs)
+- Web Dashboard (Zielwerte)
+"""
+
+import os
+from dataclasses import dataclass
+from typing import Dict, Tuple
+
+
+@dataclass
+class FXConfig:
+    """Zentrale FX-Konfiguration."""
+    
+    # Instrument & Daten
+    instrument: str = "EURUSD=X"
+    frequency: str = "1min"
+    data_path: str = os.path.expanduser("~/.qlib/qlib_data/eurusd_1min_data")
+    
+    # LLM Provider
+    llm_provider: str = "openai"
+    backend_url: str = os.getenv("OPENAI_API_BASE", "http://localhost:8081/v1")
+    api_key: str = os.getenv("OPENAI_API_KEY", "local")
+    chat_model: str = os.getenv("CHAT_MODEL", "qwen3.5-35b")
+    embedding_model: str = os.getenv("EMBEDDING_MODEL", "nomic-embed-text")
+    
+    # Trading-Parameter
+    spread_bps: float = 1.5  # 1.5 bps Spread
+    target_arr: float = 9.62  # Ziel: 9.62% annualisierte Rendite
+    max_drawdown: float = 20.0  # Max 20% Drawdown
+    cost_rate: float = 0.00015  # 0.015% pro Trade
+    
+    # Sessions (UTC)
+    sessions: Dict[str, Tuple[str, str]] = None
+    
+    # Debate & Risk
+    max_debate_rounds: int = 2
+    max_risk_discuss_rounds: int = 1
+    
+    # Memory & Reflection
+    memory_file: str = "git_ignore_folder/eurusd_trade_memory.json"
+    reflection_enabled: bool = True
+    
+    def __post_init__(self):
+        if self.sessions is None:
+            self.sessions = {
+                "asian": ("00:00", "08:00"),
+                "london": ("08:00", "16:00"),
+                "ny": ("13:00", "21:00"),
+                "overlap": ("13:00", "16:00"),
+            }
+    
+    def get_current_session(self) -> str:
+        """Bestimmt aktuelle FX-Session basierend auf UTC-Zeit."""
+        from datetime import datetime, timezone
+        
+        hour_utc = datetime.now(timezone.utc).hour
+        
+        if 0 <= hour_utc < 8:
+            return "asian"
+        elif 8 <= hour_utc < 13:
+            return "london"
+        elif 13 <= hour_utc < 16:
+            return "overlap"
+        elif 16 <= hour_utc < 21:
+            return "ny"
+        else:
+            return "after_hours"
+    
+    def get_session_description(self, session: str = None) -> dict:
+        """Gibt Beschreibung der Session."""
+        if session is None:
+            session = self.get_current_session()
+        
+        descriptions = {
+            "asian": {
+                "name": "Asian Session",
+                "hours": "00:00-08:00 UTC",
+                "characteristics": "Low volume, ranging market",
+                "recommended_strategy": "Mean Reversion",
+                "avoid": "Momentum strategies"
+            },
+            "london": {
+                "name": "London Session",
+                "hours": "08:00-16:00 UTC",
+                "characteristics": "High volume, trending market",
+                "recommended_strategy": "Momentum/Trend-Following",
+                "avoid": "Counter-trend trades"
+            },
+            "overlap": {
+                "name": "London-NY Overlap",
+                "hours": "13:00-16:00 UTC",
+                "characteristics": "Highest volume, strong directional moves",
+                "recommended_strategy": "Strong Momentum",
+                "avoid": "Range trading"
+            },
+            "ny": {
+                "name": "NY Session",
+                "hours": "13:00-21:00 UTC",
+                "characteristics": "Moderate volume, reversals after London close",
+                "recommended_strategy": "Momentum/Reversal",
+                "avoid": "Late entries after 20:00"
+            },
+            "after_hours": {
+                "name": "After Hours",
+                "hours": "21:00-00:00 UTC",
+                "characteristics": "Very low volume, wide spreads",
+                "recommended_strategy": "Avoid trading",
+                "avoid": "All strategies"
+            }
+        }
+        
+        return descriptions.get(session, descriptions["after_hours"])
+
+
+# Globale Instanz
+fx_config = FXConfig()
+
+
+def get_fx_config() -> FXConfig:
+    """Gibt globale FX-Config zurück."""
+    return fx_config
+
+
+# Test
+if __name__ == "__main__":
+    config = get_fx_config()
+    
+    print("=== FX Config Test ===\n")
+    print(f"Instrument: {config.instrument}")
+    print(f"Frequency: {config.frequency}")
+    print(f"Target ARR: {config.target_arr}%")
+    print(f"Max Drawdown: {config.max_drawdown}%")
+    print(f"Spread: {config.spread_bps} bps")
+    
+    print(f"\nAktuelle Session: {config.get_current_session()}")
+    session_desc = config.get_session_description()
+    print(f"  Name: {session_desc['name']}")
+    print(f"  Hours: {session_desc['hours']}")
+    print(f"  Characteristics: {session_desc['characteristics']}")
+    print(f"  Recommended: {session_desc['recommended_strategy']}")
+    
+    print("\n✅ FX Config funktioniert!")
@@ -0,0 +1,381 @@
+<!DOCTYPE html>
+<html lang="de">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Predix Dashboard - COMPLETE Progress</title>
+    <style>
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        body {
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+            background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
+            color: #eee;
+            min-height: 100vh;
+            padding: 20px;
+        }
+        .container { max-width: 1400px; margin: 0 auto; }
+        h1 {
+            text-align: center;
+            margin-bottom: 30px;
+            font-size: 2.5em;
+            background: linear-gradient(90deg, #00d9ff, #00ff88);
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: transparent;
+        }
+        .grid {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(350px, 1fr));
+            gap: 20px;
+            margin-bottom: 30px;
+        }
+        .card {
+            background: rgba(255, 255, 255, 0.05);
+            border-radius: 15px;
+            padding: 25px;
+            backdrop-filter: blur(10px);
+            border: 1px solid rgba(255, 255, 255, 0.1);
+            box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);
+        }
+        .card h2 {
+            font-size: 1.5em;
+            margin-bottom: 20px;
+            color: #00d9ff;
+            display: flex;
+            align-items: center;
+            gap: 10px;
+        }
+        .card h2 .icon { font-size: 1.2em; }
+        .metric {
+            display: flex;
+            justify-content: space-between;
+            padding: 12px 0;
+            border-bottom: 1px solid rgba(255, 255, 255, 0.1);
+        }
+        .metric:last-child { border-bottom: none; }
+        .metric-label { color: #aaa; }
+        .metric-value {
+            font-weight: bold;
+            font-size: 1.2em;
+        }
+        .metric-value.positive { color: #00ff88; }
+        .metric-value.negative { color: #ff4757; }
+        .metric-value.neutral { color: #ffa502; }
+        .progress-bar {
+            width: 100%;
+            height: 30px;
+            background: rgba(255, 255, 255, 0.1);
+            border-radius: 15px;
+            overflow: hidden;
+            margin: 15px 0;
+        }
+        .progress-fill {
+            height: 100%;
+            background: linear-gradient(90deg, #00d9ff, #00ff88);
+            transition: width 0.5s ease;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            font-weight: bold;
+            color: #1a1a2e;
+        }
+        .status-badge {
+            display: inline-block;
+            padding: 8px 16px;
+            border-radius: 20px;
+            font-weight: bold;
+            font-size: 0.9em;
+            margin: 5px 0;
+        }
+        .status-badge.success { background: #00ff88; color: #1a1a2e; }
+        .status-badge.failed { background: #ff4757; color: white; }
+        .status-badge.running { background: #ffa502; color: #1a1a2e; }
+        .factor-list {
+            list-style: none;
+            margin-top: 15px;
+        }
+        .factor-list li {
+            padding: 8px 15px;
+            background: rgba(255, 255, 255, 0.05);
+            margin: 5px 0;
+            border-radius: 8px;
+            border-left: 3px solid #00d9ff;
+        }
+        .loading {
+            text-align: center;
+            padding: 50px;
+            font-size: 1.2em;
+            color: #aaa;
+        }
+        .refresh-btn {
+            background: linear-gradient(90deg, #00d9ff, #00ff88);
+            border: none;
+            padding: 12px 30px;
+            border-radius: 25px;
+            color: #1a1a2e;
+            font-weight: bold;
+            cursor: pointer;
+            font-size: 1em;
+            margin: 20px auto;
+            display: block;
+            transition: transform 0.2s;
+        }
+        .refresh-btn:hover { transform: scale(1.05); }
+        .session-info {
+            background: rgba(0, 217, 255, 0.1);
+            padding: 15px;
+            border-radius: 10px;
+            margin: 15px 0;
+            border-left: 4px solid #00d9ff;
+        }
+        .error-msg {
+            background: rgba(255, 71, 87, 0.2);
+            padding: 15px;
+            border-radius: 10px;
+            color: #ff4757;
+            margin: 15px 0;
+        }
+        @keyframes pulse {
+            0%, 100% { opacity: 1; }
+            50% { opacity: 0.5; }
+        }
+        .live-indicator {
+            display: inline-block;
+            width: 10px;
+            height: 10px;
+            background: #00ff88;
+            border-radius: 50%;
+            margin-right: 10px;
+            animation: pulse 2s infinite;
+        }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>🚀 Predix Dashboard</h1>
+        <p style="text-align: center; color: #aaa; margin-bottom: 30px;">
+            COMPLETE Progress Visualisierung für EURUSD Trading-Agent
+        </p>
+
+        <div id="dashboard">
+            <div class="loading">Lade Dashboard-Daten...</div>
+        </div>
+
+        <button class="refresh-btn" onclick="loadDashboard()">🔄 Aktualisieren</button>
+    </div>
+
+    <script>
+        const API_BASE = window.location.origin;
+
+        async function loadDashboard() {
+            try {
+                const response = await fetch(`${API_BASE}/api/dashboard`);
+                const data = await response.json();
+                
+                if (data.error) {
+                    document.getElementById('dashboard').innerHTML = `
+                        <div class="error-msg">❌ Fehler: ${data.error}</div>
+                    `;
+                    return;
+                }
+
+                const html = `
+                    <div class="grid">
+                        ${renderProgressCard(data.progress)}
+                        ${renderMacroCard(data.macro)}
+                        ${renderSessionCard(data.session)}
+                        ${renderMemoryCard(data.memory)}
+                        ${renderConfigCard(data.config)}
+                    </div>
+                `;
+                
+                document.getElementById('dashboard').innerHTML = html;
+                
+                // Auto-refresh alle 30 Sekunden
+                setTimeout(loadDashboard, 30000);
+                
+            } catch (error) {
+                document.getElementById('dashboard').innerHTML = `
+                    <div class="error-msg">❌ Verbindungsfehler: ${error.message}</div>
+                    <p style="text-align: center; color: #aaa;">
+                        Stelle sicher dass die API unter ${API_BASE} läuft.
+                    </p>
+                `;
+            }
+        }
+
+        function renderProgressCard(progress) {
+            return `
+                <div class="card">
+                    <h2><span class="icon">📊</span> Trading Progress</h2>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Aktueller Loop:</span>
+                        <span class="metric-value">${progress.current_loop}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Aktueller Step:</span>
+                        <span class="metric-value">${progress.current_step}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Status:</span>
+                        <span class="status-badge ${progress.last_status.toLowerCase()}">
+                            ${progress.last_status}
+                        </span>
+                    </div>
+                    
+                    <div class="progress-bar">
+                        <div class="progress-fill" style="width: ${progress.progress_percent}%">
+                            ${progress.progress_percent}%
+                        </div>
+                    </div>
+                    
+                    ${progress.recent_factors.length > 0 ? `
+                        <h3 style="margin-top: 20px; color: #00d9ff; font-size: 1.1em;">Letzte Faktoren:</h3>
+                        <ul class="factor-list">
+                            ${progress.recent_factors.map(f => `<li>📈 ${f}</li>`).join('')}
+                        </ul>
+                    ` : ''}
+                    
+                    <div class="metric" style="margin-top: 20px;">
+                        <span class="metric-label">Log Größe:</span>
+                        <span class="metric-value">${progress.log_size_mb || 'N/A'} MB</span>
+                    </div>
+                </div>
+            `;
+        }
+
+        function renderMacroCard(macro) {
+            if (!macro || macro.error) {
+                return `
+                    <div class="card">
+                        <h2><span class="icon">🌍</span> Live Macro Daten</h2>
+                        <div class="error-msg">Daten nicht verfügbar</div>
+                    </div>
+                `;
+            }
+
+            const changeClass = macro.eurusd_24h_change >= 0 ? 'positive' : 'negative';
+            const changeSign = macro.eurusd_24h_change >= 0 ? '+' : '';
+
+            return `
+                <div class="card">
+                    <h2><span class="icon">🌍</span> Live Macro Daten <span class="live-indicator"></span></h2>
+                    
+                    <div class="metric">
+                        <span class="metric-label">EURUSD:</span>
+                        <span class="metric-value">${macro.eurusd_price ? macro.eurusd_price.toFixed(5) : 'N/A'}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">24h Change:</span>
+                        <span class="metric-value ${changeClass}">
+                            ${changeSign}${macro.eurusd_24h_change ? macro.eurusd_24h_change.toFixed(3) : '0'}%
+                        </span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">DXY (Dollar Index):</span>
+                        <span class="metric-value">${macro.dxy_price ? macro.dxy_price.toFixed(2) : 'N/A'}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Volatility (24h):</span>
+                        <span class="metric-value">${macro.realized_volatility ? macro.realized_volatility.toFixed(4) : 'N/A'}%</span>
+                    </div>
+                </div>
+            `;
+        }
+
+        function renderSessionCard(session) {
+            if (!session) return '';
+
+            return `
+                <div class="card">
+                    <h2><span class="icon">🕐</span> Aktuelle Session</h2>
+                    
+                    <div class="session-info">
+                        <strong>${session.name}</strong><br>
+                        <span style="color: #aaa;">${session.hours} UTC</span>
+                    </div>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Charakteristika:</span>
+                    </div>
+                    <p style="color: #ccc; margin: 10px 0;">${session.characteristics}</p>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Empfohlene Strategie:</span>
+                        <span class="metric-value positive">${session.recommended_strategy}</span>
+                    </div>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Vermeiden:</span>
+                        <span class="metric-value negative">${session.avoid}</span>
+                    </div>
+                </div>
+            `;
+        }
+
+        function renderMemoryCard(memory) {
+            if (!memory || memory.error) {
+                return `
+                    <div class="card">
+                        <h2><span class="icon">💾</span> Memory Statistics</h2>
+                        <div class="error-msg">Keine Trades gespeichert</div>
+                    </div>
+                `;
+            }
+
+            const winRateClass = memory.win_rate >= 60 ? 'positive' : memory.win_rate >= 40 ? 'neutral' : 'negative';
+
+            return `
+                <div class="card">
+                    <h2><span class="icon">💾</span> Memory Statistics</h2>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Gespeicherte Trades:</span>
+                        <span class="metric-value">${memory.total_trades}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Win-Rate:</span>
+                        <span class="metric-value ${winRateClass}">${memory.win_rate}%</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Ø Return:</span>
+                        <span class="metric-value ${memory.avg_return >= 0 ? 'positive' : 'negative'}">
+                            ${memory.avg_return >= 0 ? '+' : ''}${memory.avg_return}%
+                        </span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Sharpe Ratio:</span>
+                        <span class="metric-value">${memory.sharpe_ratio || 'N/A'}</span>
+                    </div>
+                </div>
+            `;
+        }
+
+        function renderConfigCard(config) {
+            if (!config) return '';
+
+            return `
+                <div class="card">
+                    <h2><span class="icon">⚙️</span> Konfiguration</h2>
+                    
+                    <div class="metric">
+                        <span class="metric-label">Instrument:</span>
+                        <span class="metric-value">${config.instrument}</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Target ARR:</span>
+                        <span class="metric-value positive">${config.target_arr}%</span>
+                    </div>
+                    <div class="metric">
+                        <span class="metric-label">Max Drawdown:</span>
+                        <span class="metric-value negative">${config.max_drawdown}%</span>
+                    </div>
+                </div>
+            `;
+        }
+
+        // Initiales Laden
+        loadDashboard();
+    </script>
+</body>
+</html>
@@ -0,0 +1,317 @@
+"""
+Predix Dashboard API
+
+Flask-Backend für das Web-Dashboard.
+Zeigt COMPLETE Progress von EURUSD Trading-Agent.
+
+Features:
+- Live Trading Progress (Loop, Step, Faktor)
+- Performance Metrics (Win-Rate, PnL, Sharpe)
+- Live Macro Daten (EURUSD, DXY, Volatility)
+- Session Info
+- Memory Statistics
+- Debate Status
+"""
+
+import json
+import os
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+from flask import Flask, jsonify
+from flask_cors import CORS
+
+# Parent-Directory zum Path hinzufügen
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+app = Flask(__name__)
+CORS(app)
+
+# Importiere unsere Module
+try:
+    from rdagent.components.coder.factor_coder.fx_config import get_fx_config
+    from rdagent.components.coder.factor_coder.eurusd_macro import get_live_fx_data
+    from rdagent.components.coder.factor_coder.eurusd_debate import get_current_session_info
+    from rdagent.components.coder.factor_coder.eurusd_memory import EURUSDTradeMemory
+    
+    MODULES_AVAILABLE = True
+except ImportError as e:
+    print(f"⚠️  Module nicht verfügbar: {e}")
+    MODULES_AVAILABLE = False
+
+
+def parse_fin_quant_log(log_path: str, lines: int = 100) -> dict:
+    """
+    Parst die letzten N Zeilen der fin_quant.log.
+    
+    Extrahiert:
+    - Aktueller Loop/Step
+    - Letzter Faktor
+    - Status (SUCCESS/FAILED/PENDING)
+    """
+    result = {
+        "current_loop": "N/A",
+        "current_step": "N/A",
+        "progress_percent": 0,
+        "last_factor": "N/A",
+        "last_status": "N/A",
+        "recent_factors": []
+    }
+    
+    try:
+        if not os.path.exists(log_path):
+            return result
+        
+        with open(log_path, 'r', encoding='utf-8', errors='ignore') as f:
+            # Hole letzte N Zeilen
+            all_lines = f.readlines()
+            recent_lines = all_lines[-lines:] if len(all_lines) > lines else all_lines
+            log_content = ''.join(recent_lines)
+        
+        # Extrahiere Loop/Step
+        import re
+        
+        # Workflow Progress
+        progress_match = re.search(r'Workflow Progress:\s+(\d+)%.*loop_index=(\d+).*step_index=(\d+).*step_name=(\w+)', log_content)
+        if progress_match:
+            result["progress_percent"] = int(progress_match.group(1))
+            result["current_loop"] = int(progress_match.group(2))
+            result["current_step"] = f"{int(progress_match.group(3)) + 1}/4 ({progress_match.group(4)})"
+        
+        # Extrahiere Faktor-Namen
+        factor_matches = re.findall(r'factor_name:\s*(\w+)', log_content)
+        if factor_matches:
+            result["last_factor"] = factor_matches[-1]
+            result["recent_factors"] = list(reversed(factor_matches[-5:]))
+        
+        # Extrahiere Status
+        if "This implementation is SUCCESS" in log_content:
+            result["last_status"] = "SUCCESS"
+        elif "This implementation is FAIL" in log_content:
+            result["last_status"] = "FAILED"
+        elif "Execution succeeded" in log_content:
+            result["last_status"] = "RUNNING"
+        
+        # Log-Aktivität
+        result["log_lines_total"] = len(all_lines)
+        result["log_size_mb"] = round(os.path.getsize(log_path) / (1024 * 1024), 2)
+        
+    except Exception as e:
+        result["error"] = str(e)
+    
+    return result
+
+
+def get_memory_stats(memory_file: str) -> dict:
+    """
+    Holt Statistics aus dem Trade-Memory.
+    """
+    result = {
+        "total_trades": 0,
+        "win_rate": 0.0,
+        "avg_return": 0.0,
+        "total_pnl": 0.0
+    }
+    
+    try:
+        if not os.path.exists(memory_file):
+            return result
+        
+        memory = EURUSDTradeMemory(memory_file)
+        stats = memory.get_memory_stats()
+        
+        result["total_trades"] = stats.get("total_trades", 0)
+        result["win_rate"] = round(stats.get("win_rate", 0) * 100, 1)
+        result["avg_return"] = round(stats.get("avg_return", 0) * 100, 2)
+        result["total_pnl"] = round(stats.get("total_pnl", 0) * 100, 2)
+        result["sharpe_ratio"] = round(stats.get("sharpe_ratio", 0), 2)
+        
+    except Exception as e:
+        result["error"] = str(e)
+    
+    return result
+
+
+@app.route('/api/health', methods=['GET'])
+def health_check():
+    """Health Check Endpoint."""
+    return jsonify({
+        "status": "ok",
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "modules_available": MODULES_AVAILABLE
+    })
+
+
+@app.route('/api/progress', methods=['GET'])
+def get_progress():
+    """
+    Holt aktuellen Trading-Progress.
+    
+    Returns:
+    - Aktueller Loop/Step
+    - Fortschritts-Prozent
+    - Letzter Faktor
+    - Status
+    """
+    log_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'fin_quant.log')
+    progress = parse_fin_quant_log(log_path)
+    
+    return jsonify(progress)
+
+
+@app.route('/api/macro', methods=['GET'])
+def get_macro_data():
+    """
+    Holt Live-Macro-Daten.
+    
+    Returns:
+    - EURUSD Preis
+    - DXY (Dollar Index)
+    - Realized Volatility
+    - 24h Change
+    """
+    if not MODULES_AVAILABLE:
+        return jsonify({"error": "Modules not available"}), 500
+    
+    live_data = get_live_fx_data()
+    return jsonify(live_data)
+
+
+@app.route('/api/session', methods=['GET'])
+def get_session_data():
+    """
+    Holt aktuelle FX-Session Info.
+    
+    Returns:
+    - Session Name
+    - Hours
+    - Characteristics
+    - Recommended Strategy
+    """
+    if not MODULES_AVAILABLE:
+        return jsonify({"error": "Modules not available"}), 500
+    
+    session = get_current_session_info()
+    return jsonify(session)
+
+
+@app.route('/api/memory', methods=['GET'])
+def get_memory_data():
+    """
+    Holt Memory Statistics.
+    
+    Returns:
+    - Total Trades
+    - Win-Rate
+    - Average Return
+    - Sharpe Ratio
+    """
+    if not MODULES_AVAILABLE:
+        return jsonify({"error": "Modules not available"}), 500
+    
+    config = get_fx_config()
+    stats = get_memory_stats(config.memory_file)
+    
+    return jsonify(stats)
+
+
+@app.route('/api/config', methods=['GET'])
+def get_config_data():
+    """
+    Holt FX-Konfiguration.
+    
+    Returns:
+    - Instrument
+    - Target ARR
+    - Max Drawdown
+    - Spread
+    """
+    if not MODULES_AVAILABLE:
+        return jsonify({"error": "Modules not available"}), 500
+    
+    config = get_fx_config()
+    
+    return jsonify({
+        "instrument": config.instrument,
+        "frequency": config.frequency,
+        "target_arr": config.target_arr,
+        "max_drawdown": config.max_drawdown,
+        "spread_bps": config.spread_bps,
+        "chat_model": config.chat_model
+    })
+
+
+@app.route('/api/dashboard', methods=['GET'])
+def get_full_dashboard():
+    """
+    Holt alle Dashboard-Daten auf einmal.
+    
+    Kombiniert:
+    - Progress
+    - Macro
+    - Session
+    - Memory
+    - Config
+    """
+    dashboard = {
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "modules_available": MODULES_AVAILABLE
+    }
+    
+    if MODULES_AVAILABLE:
+        # Progress
+        log_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'fin_quant.log')
+        dashboard["progress"] = parse_fin_quant_log(log_path)
+        
+        # Macro
+        dashboard["macro"] = get_live_fx_data()
+        
+        # Session
+        dashboard["session"] = get_current_session_info()
+        
+        # Memory
+        config = get_fx_config()
+        dashboard["memory"] = get_memory_stats(config.memory_file)
+        
+        # Config
+        dashboard["config"] = {
+            "instrument": config.instrument,
+            "target_arr": config.target_arr,
+            "max_drawdown": config.max_drawdown
+        }
+    else:
+        dashboard["error"] = "Modules not available"
+    
+    return jsonify(dashboard)
+
+
+@app.route('/', methods=['GET'])
+def index():
+    """Root Endpoint - zeigt API-Info."""
+    return jsonify({
+        "name": "Predix Dashboard API",
+        "version": "1.0.0",
+        "description": "COMPLETE Progress Visualisierung für EURUSD Trading-Agent",
+        "endpoints": {
+            "/api/health": "Health Check",
+            "/api/progress": "Trading Progress",
+            "/api/macro": "Live Macro Daten",
+            "/api/session": "FX Session Info",
+            "/api/memory": "Memory Statistics",
+            "/api/config": "FX Konfiguration",
+            "/api/dashboard": "Alle Daten kombiniert"
+        }
+    })
+
+
+if __name__ == '__main__':
+    print("="*60)
+    print("Predix Dashboard API")
+    print("="*60)
+    print(f"Modules available: {MODULES_AVAILABLE}")
+    print(f"Starting server on http://localhost:5000")
+    print(f"API Docs: http://localhost:5000/")
+    print("="*60)
+    
+    app.run(host='0.0.0.0', port=5000, debug=True)