feat: Binance WS, news client, and social client

Add ThreadedWebsocketManager-based BinanceWSClient for real-time price
streaming, NewsClient for CryptoPanic/NewsAPI fetching with coin filtering,
and SocialClient for Reddit post retrieval with keyword filtering and
simple keyword-based sentiment scoring. Includes unit tests for news and
social clients (4/4 passing).

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

data/social_client.py

@@ -0,0 +1,72 @@
+import logging
+from datetime import datetime
+
+logger = logging.getLogger(__name__)
+
+POSITIVE_WORDS = {"moon", "bullish", "pump", "rally", "amazing", "great", "buy", "long", "up", "high", "profit", "gain", "surge", "breakout"}
+NEGATIVE_WORDS = {"crash", "bearish", "dump", "sell", "short", "down", "low", "loss", "scam", "drop", "fear", "panic", "rekt"}
+
+class SocialClient:
+    def __init__(self, reddit_client_id: str, reddit_secret: str, reddit_user_agent: str,
+                 twitter_bearer: str = ""):
+        self.reddit_client_id = reddit_client_id
+        self.reddit_secret = reddit_secret
+        self.reddit_user_agent = reddit_user_agent
+        self.twitter_bearer = twitter_bearer
+        self._reddit = None
+        self._cache: list[dict] = []
+
+    def _get_reddit(self):
+        if self._reddit is None:
+            import praw
+            self._reddit = praw.Reddit(
+                client_id=self.reddit_client_id,
+                client_secret=self.reddit_secret,
+                user_agent=self.reddit_user_agent,
+            )
+        return self._reddit
+
+    def fetch_reddit(self, subreddits=("cryptocurrency", "binance", "CryptoMarkets"), limit=50) -> list[dict]:
+        try:
+            reddit = self._get_reddit()
+            posts = []
+            for sub_name in subreddits:
+                sub = reddit.subreddit(sub_name)
+                for post in sub.hot(limit=limit):
+                    posts.append({
+                        "title": post.title,
+                        "score": post.score,
+                        "num_comments": post.num_comments,
+                        "created_utc": post.created_utc,
+                        "subreddit": sub_name,
+                    })
+            self._cache = posts
+            return posts
+        except Exception as e:
+            logger.warning(f"Reddit fetch failed: {e}")
+            return self._cache
+
+    def filter_posts_by_coin(self, posts: list[dict], coin_symbol: str) -> list[dict]:
+        symbol = coin_symbol.replace("USDT", "").upper()
+        name_map = {"BTC": ["bitcoin", "btc"], "ETH": ["ethereum", "eth"],
+                     "SOL": ["solana", "sol"], "BNB": ["bnb", "binance coin"],
+                     "XRP": ["xrp", "ripple"], "DOGE": ["doge", "dogecoin"],
+                     "ADA": ["ada", "cardano"], "AVAX": ["avax", "avalanche"]}
+        keywords = name_map.get(symbol, [symbol.lower()])
+        return [p for p in posts if any(kw in p["title"].lower() for kw in keywords)]
+
+    def simple_sentiment(self, posts: list[dict]) -> dict:
+        positive = 0
+        negative = 0
+        neutral = 0
+        for p in posts:
+            words = set(p["title"].lower().split())
+            pos_count = len(words & POSITIVE_WORDS)
+            neg_count = len(words & NEGATIVE_WORDS)
+            if pos_count > neg_count:
+                positive += 1
+            elif neg_count > pos_count:
+                negative += 1
+            else:
+                neutral += 1
+        return {"positive": positive, "negative": negative, "neutral": neutral, "total": len(posts)}