Replace Yahoo Finance with Polygon.io for chart data

- Add Polygon.io API client for reliable historical data access
- Update bot to use Polygon instead of Yahoo Finance for charts
- Add POLYGON_API_KEY to config and environment example
- Polygon free tier: 5 API calls/minute, more reliable than Yahoo
- Fallback to FinViz chart URL when Polygon unavailable

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

.env.example

@@ -11,6 +11,7 @@ COMMAND_PREFIX=!
 PRIMARY_TICKER=PYPL
 STOCK_API_PROVIDER=finnhub
 FINNHUB_API_KEY=your_finnhub_api_key_here
+POLYGON_API_KEY=your_polygon_api_key_here
 
 # Scheduling Configuration
 UPDATE_INTERVAL_HOURS=1

bot.py

@@ -11,6 +11,7 @@ from stock_api import YahooFinanceAPI, FinnhubAPI
 from market_hours import MarketHours
 from crypto_api import CoinGeckoAPI
 from chart_generator import ChartGenerator
+from polygon_api import PolygonAPI
 
 
 # Configure logging
@@ -37,9 +38,13 @@ class StockBot(commands.Bot):
             self.stock_api = YahooFinanceAPI()
             logger.info("Using Yahoo Finance API for stock data")
 
-        # Always initialize Yahoo Finance for chart data (free historical data)
+        # Initialize Polygon.io for chart data (free historical data)
-        self.yahoo_api = YahooFinanceAPI()
+        if Config.POLYGON_API_KEY:
-        logger.info("Using Yahoo Finance API for chart data")
+            self.chart_api = PolygonAPI(Config.POLYGON_API_KEY)
+            logger.info("Using Polygon.io API for chart data")
+        else:
+            logger.warning("POLYGON_API_KEY not set, charts will use FinViz fallback")
+            self.chart_api = None
 
         self.scheduler = AsyncIOScheduler(timezone=pytz.timezone('America/New_York'))
         self.target_channel_ids = [int(id) for id in Config.CHANNEL_IDS]
@@ -258,9 +263,10 @@ class StockBot(commands.Bot):
             await channel.send(f"Unable to retrieve data for ticker: {ticker}")
             return
 
-        # Generate chart using Yahoo Finance historical data
+        # Generate chart using Polygon.io historical data
         chart_file = None
-        candle_data = self.yahoo_api.get_candles(ticker, days=30)
+        if self.chart_api:
+            candle_data = self.chart_api.get_candles(ticker, days=30)
             if candle_data:
                 chart_buffer = ChartGenerator.create_price_chart(
                     ticker,
@@ -553,9 +559,10 @@ async def get_stock_price(ctx, ticker: str = None):
         await ctx.send(f"Unable to retrieve data for ticker: {ticker}")
         return
 
-    # Generate chart using Yahoo Finance historical data
+    # Generate chart using Polygon.io historical data
     chart_file = None
-    candle_data = bot.yahoo_api.get_candles(ticker, days=30)
+    if bot.chart_api:
+        candle_data = bot.chart_api.get_candles(ticker, days=30)
         if candle_data:
             chart_buffer = ChartGenerator.create_price_chart(
                 ticker,

config.py

@@ -19,6 +19,7 @@ class Config:
     PRIMARY_TICKER = os.getenv('PRIMARY_TICKER', 'PYPL')
     STOCK_API_PROVIDER = os.getenv('STOCK_API_PROVIDER', 'finnhub')  # 'yahoo' or 'finnhub'
     FINNHUB_API_KEY = os.getenv('FINNHUB_API_KEY')
+    POLYGON_API_KEY = os.getenv('POLYGON_API_KEY')
 
     # Earnings calendar configuration
     EARNINGS_MIN_MARKET_CAP_BILLIONS = float(os.getenv('EARNINGS_MIN_MARKET_CAP_BILLIONS', '10'))

polygon_api.py

@@ -0,0 +1,115 @@
+"""Polygon.io API client for historical stock data."""
+import requests
+import logging
+from typing import Optional, Dict, List
+from datetime import datetime, timedelta
+
+logger = logging.getLogger(__name__)
+
+
+class PolygonAPI:
+    """Polygon.io implementation for historical stock data."""
+
+    def __init__(self, api_key: str):
+        """
+        Initialize Polygon API client.
+
+        Args:
+            api_key: Polygon.io API key
+        """
+        self.api_key = api_key
+        self.base_url = "https://api.polygon.io"
+
+    def get_candles(self, ticker: str, days: int = 30, resolution: str = 'D') -> Optional[Dict[str, List]]:
+        """
+        Retrieve historical candlestick data from Polygon.io.
+
+        Args:
+            ticker: Stock ticker symbol
+            days: Number of days of historical data to fetch
+            resolution: Candle resolution (ignored, always daily)
+
+        Returns:
+            Dictionary with OHLCV data or None if unavailable
+        """
+        try:
+            # Calculate date range
+            end_date = datetime.now()
+            start_date = end_date - timedelta(days=days)
+
+            # Format dates as YYYY-MM-DD
+            from_date = start_date.strftime('%Y-%m-%d')
+            to_date = end_date.strftime('%Y-%m-%d')
+
+            # Build API URL
+            url = f"{self.base_url}/v2/aggs/ticker/{ticker}/range/1/day/{from_date}/{to_date}"
+
+            # Make request
+            params = {
+                'adjusted': 'true',
+                'sort': 'asc',
+                'apiKey': self.api_key
+            }
+
+            logger.info(f"Fetching Polygon data for {ticker} from {from_date} to {to_date}")
+            response = requests.get(url, params=params, timeout=10)
+            response.raise_for_status()
+
+            data = response.json()
+
+            # Check if we got results
+            if data.get('status') != 'OK' or not data.get('results'):
+                logger.warning(f"No candle data available for ticker: {ticker}")
+                return None
+
+            results = data['results']
+
+            # Convert to expected format
+            timestamps = []
+            opens = []
+            highs = []
+            lows = []
+            closes = []
+            volumes = []
+
+            for candle in results:
+                # Polygon returns timestamp in milliseconds
+                timestamps.append(int(candle['t'] / 1000))
+                opens.append(float(candle['o']))
+                highs.append(float(candle['h']))
+                lows.append(float(candle['l']))
+                closes.append(float(candle['c']))
+                volumes.append(int(candle['v']))
+
+            logger.info(f"Successfully fetched {len(timestamps)} candles for {ticker}")
+
+            return {
+                'timestamps': timestamps,
+                'open': opens,
+                'high': highs,
+                'low': lows,
+                'close': closes,
+                'volume': volumes
+            }
+
+        except requests.exceptions.RequestException as e:
+            logger.error(f"HTTP error fetching candle data for {ticker}: {e}")
+            return None
+        except Exception as e:
+            logger.error(f"Error fetching candle data for {ticker}: {e}")
+            return None
+
+    def is_available(self) -> bool:
+        """
+        Check if Polygon API is accessible.
+
+        Returns:
+            True if accessible, False otherwise
+        """
+        try:
+            # Test with a simple request
+            test_data = self.get_candles("AAPL", days=5)
+            return test_data is not None
+        except Exception as e:
+            logger.error(f"Polygon API unavailable: {e}")
+            return False

test_polygon.py

@@ -0,0 +1,69 @@
+"""Test script for Polygon.io API integration."""
+import logging
+from polygon_api import PolygonAPI
+from chart_generator import ChartGenerator
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+
+def test_polygon_integration():
+    """Test Polygon.io API and chart generation."""
+
+    api_key = os.getenv('POLYGON_API_KEY')
+    if not api_key:
+        logger.error("POLYGON_API_KEY not set in .env file")
+        return False
+
+    logger.info("Initializing Polygon API")
+    api = PolygonAPI(api_key)
+
+    # Test tickers
+    tickers = ["AAPL", "TSLA"]
+
+    for ticker in tickers:
+        logger.info(f"\nTesting {ticker}...")
+
+        # Fetch candle data
+        logger.info(f"Fetching candle data for {ticker}")
+        candle_data = api.get_candles(ticker, days=30)
+
+        if not candle_data:
+            logger.error(f"Failed to fetch candle data for {ticker}")
+            continue
+
+        logger.info(f"Successfully fetched {len(candle_data['timestamps'])} candles")
+        logger.info(f"Price range: ${min(candle_data['low']):.2f} - ${max(candle_data['high']):.2f}")
+
+        # Generate chart
+        logger.info(f"Generating chart for {ticker}")
+        chart = ChartGenerator.create_price_chart(ticker, candle_data, f"{ticker} Test")
+
+        if not chart:
+            logger.error(f"Failed to generate chart for {ticker}")
+            continue
+
+        # Save chart
+        filename = f"/tmp/{ticker}_polygon_chart.png"
+        with open(filename, "wb") as f:
+            f.write(chart.getvalue())
+        logger.info(f"Chart saved: {filename} ({len(chart.getvalue())} bytes)")
+
+    logger.info("\nPolygon.io integration test completed successfully!")
+    return True
+
+
+if __name__ == "__main__":
+    try:
+        success = test_polygon_integration()
+        exit(0 if success else 1)
+    except Exception as e:
+        logger.error(f"Test failed: {e}", exc_info=True)
+        exit(1)