feat: AI agent, signal engine, surge detector, portfolio simulator

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

agents/ai_analyst.py

@@ -0,0 +1,65 @@
+import json
+import logging
+from anthropic import Anthropic
+
+logger = logging.getLogger(__name__)
+
+class AIAgent:
+    def __init__(self, api_key: str):
+        self.client = Anthropic(api_key=api_key) if api_key else None
+
+    def analyze_batch(self, coins_data: list[dict]) -> dict[str, dict]:
+        if not coins_data or not self.client:
+            return {c.get("symbol",""): {"score": 50, "summary": "AI not configured"} for c in coins_data}
+
+        prompt = self._build_prompt(coins_data)
+        try:
+            response = self.client.messages.create(
+                model="claude-sonnet-4-20250514",
+                max_tokens=2000,
+                messages=[{"role": "user", "content": prompt}],
+            )
+            return self._parse_response(response.content[0].text, coins_data)
+        except Exception as e:
+            logger.error(f"AI analysis failed: {e}")
+            return {c["symbol"]: {"score": 50, "summary": "Analysis unavailable"} for c in coins_data}
+
+    def _build_prompt(self, coins_data: list[dict]) -> str:
+        coins_text = ""
+        for coin in coins_data:
+            coins_text += f"""
+Coin: {coin['symbol']}
+- Price: ${coin.get('price', 'N/A')}
+- 24h Change: {coin.get('change_pct', 'N/A')}%
+- Technical Score: {coin.get('technical_score', 'N/A')}/100
+- News Sentiment: {coin.get('news_score', 'N/A')}/100
+- Social Sentiment: {coin.get('social_score', 'N/A')}/100
+- Recent Headlines: {', '.join(coin.get('headlines', [])[:3])}
+"""
+        return f"""You are a crypto market analyst. Analyze these coins for short-term (24h) spot trading potential.
+
+For each coin, provide:
+1. A score from 0-100 (0=strong sell, 50=neutral, 100=strong buy)
+2. A brief 1-2 sentence summary explaining your reasoning
+
+{coins_text}
+
+Respond in JSON format:
+{{
+  "SYMBOL": {{"score": NUMBER, "summary": "TEXT"}},
+  ...
+}}
+
+Only output the JSON, no other text."""
+
+    def _parse_response(self, text: str, coins_data: list[dict]) -> dict[str, dict]:
+        try:
+            text = text.strip()
+            if text.startswith("```"):
+                text = text.split("```")[1]
+                if text.startswith("json"):
+                    text = text[4:]
+            return json.loads(text)
+        except (json.JSONDecodeError, IndexError) as e:
+            logger.warning(f"Failed to parse AI response: {e}")
+            return {c["symbol"]: {"score": 50, "summary": "Parse error"} for c in coins_data}