Initial commit: Gold Trading Simulator with AI-powered analysis
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from __future__ import annotations
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from typing import Any, Dict, List
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_TEMPLATES: Dict[str, Dict[str, Any]] = {
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"analysis_default": {
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"name": "analysis_default",
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"description": "General market analysis prompt with technicals and news context",
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"variables": ["symbol", "timeframe", "recent_news", "technicals"],
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"body": (
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"You are a trading assistant. Analyze {{symbol}} on {{timeframe}} timeframe.\n"
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"Consider technical signals: {{technicals}} and relevant news: {{recent_news}}.\n"
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"Provide a concise recommendation (BUY/SELL/HOLD) with reasoning and risk notes."
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),
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},
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"risk_control_default": {
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"name": "risk_control_default",
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"description": "Risk control instructions for planning",
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"variables": ["max_position_fraction", "min_rr_ratio"],
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"body": (
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"Adhere to risk rules: position <= {{max_position_fraction}} of equity,"
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" risk-reward ratio >= {{min_rr_ratio}} whenever applicable."
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),
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},
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}
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def list_templates() -> List[Dict[str, Any]]:
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return [
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{"name": t["name"], "description": t["description"], "variables": t["variables"]}
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for t in _TEMPLATES.values()
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]
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def get_template(name: str) -> Dict[str, Any]:
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if name not in _TEMPLATES:
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raise KeyError("Template not found")
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return _TEMPLATES[name]
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