Files
TPTBusiness 52d2b89148 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
2026-04-02 19:17:03 +02:00

149 lines
4.8 KiB
Python

"""
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!")