Feature/news-reporting-updates

.env.example

@@ -1,4 +1,5 @@
 OPENAI_API_KEY=your_openai_api_key_here
+FINNHUB_API_KEY=your_finnhub_api_key_here
 # Optional but recommended
 ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here
 FINANCIAL_DATA_API_KEY=your_financial_data_api_key_here

.github/workflows/ci.yml

@@ -34,6 +34,8 @@ jobs:
   test:
     name: Unit Tests
     runs-on: ubuntu-latest
+    env:
+      FINNHUB_API_KEY: test-finnhub-key
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
@@ -59,6 +61,8 @@ jobs:
   integration-tests:
     name: Integration Tests
     runs-on: ubuntu-latest
+    env:
+      FINNHUB_API_KEY: test-finnhub-key
     steps:
       - name: Checkout code
         uses: actions/checkout@v4

README.md

@@ -12,6 +12,7 @@ A sophisticated multi-agent financial analysis system that uses **LangGraph**, *
 - **SEC Filing Analysis**: Deep analysis of 10-K and 10-Q reports using AI
 - **Technical Analysis**: Comprehensive technical indicators and chart pattern recognition
 - **Sentiment Analysis**: AI-powered sentiment analysis of news and social media
+- **WebSocket News Channels**: Dedicated multi-stream WebSockets for tier-one financial news, open agencies, and real-time pricing
 - **Portfolio Optimization**: Intelligent portfolio construction with risk management
 - **Trading Recommendations**: Buy/Sell/Hold recommendations with confidence scores
 - **Risk Assessment**: Multi-factor risk analysis and position sizing
@@ -67,6 +68,7 @@ Required environment variables:
 
 ```env
 OPENAI_API_KEY=your_openai_api_key_here
+FINNHUB_API_KEY=your_finnhub_api_key_here
 # Optional but recommended
 ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here
 FINANCIAL_DATA_API_KEY=your_financial_data_api_key_here
@@ -85,23 +87,55 @@ DEFAULT_PORTFOLIO_SIZE=100000
 
 ```bash
 # Basic analysis
-tradegraph AAPL MSFT GOOGL
+uv run tradegraph AAPL MSFT GOOGL
 
 # Comprehensive analysis with custom parameters
-tradegraph AAPL MSFT GOOGL \
+uv run tradegraph AAPL MSFT GOOGL \
   --portfolio-size 250000 \
   --risk-tolerance aggressive \
   --time-horizon long_term \
   --analysis-type comprehensive
 
 # Quick analysis
-tradegraph TSLA NVDA --analysis-type quick
+uv run tradegraph TSLA NVDA --analysis-type quick
 
 # Generate alerts only
-tradegraph AAPL --alerts-only
+uv run tradegraph AAPL --alerts-only
 
 # JSON output
-tradegraph AAPL MSFT --output-format json > analysis.json
+uv run tradegraph AAPL MSFT --output-format json > analysis.json
+```
+
+### Real-Time WebSocket Channels
+
+The repository now ships with a FastAPI service that exposes three dedicated WebSocket channels:
+
+1. `top_market_crypto` – Reuters, CNBC, WSJ, MarketWatch, and CoinDesk headlines
+2. `open_source_agencies` – Guardian, BBC, Al Jazeera, NPR, and Financial Express (all free/open access)
+3. `live_price_stream` – Finnhub (equities) + Binance (crypto) price snapshots with last year/month/day/hour trends
+
+Launch the channel server with `uv` and subscribe from any WebSocket client:
+
+```bash
+uv run uvicorn tradegraph_financial_advisor.server.channel_server:app --reload
+```
+
+Example subscription (JavaScript snippet):
+
+```js
+const socket = new WebSocket('ws://127.0.0.1:8000/ws/top_market_crypto?symbols=AAPL,MSFT,BTC-USD');
+socket.onmessage = (event) => {
+  console.log(JSON.parse(event.data));
+};
+```
+
+### PDF Financial Reports
+
+Financial agents can now condense all three channels into a PDF that covers news context, buy/hold/sell guidance, risk mix, and multi-horizon price trends. Trend snapshots are limited to month/week/day/hour windows so the report explicitly reflects month-to-date momentum.
+
+```bash
+uv run tradegraph AAPL BTC-USD --analysis-type comprehensive --channel-report \
+  --pdf-path results/aapl_crypto_multichannel.pdf
 ```
 
 ### Python API Usage
@@ -284,7 +318,7 @@ GOOGL: HOLD (Confidence: 65.0%)
 
 - **LangGraph**: Workflow orchestration and agent coordination
 - **OpenAI GPT-4**: Natural language processing and analysis
-- **yfinance**: Financial data retrieval
+- **Finnhub** (equities) and **Binance** (crypto) for live/historical pricing
 - **pandas/numpy**: Data processing and analysis
 - **aiohttp**: Async HTTP requests
 - **pydantic**: Data validation and serialization

api/routers/health.py

@@ -269,7 +269,6 @@ async def check_dependencies():
                 "pydantic",
                 "langchain",
                 "langgraph",
-                "yfinance",
                 "pandas",
                 "numpy",
                 "aiohttp",
@@ -290,15 +289,16 @@ async def check_dependencies():
         # Check environment variables
         import os
 
-        env_vars = ["OPENAI_API_KEY"]
+        env_vars = ["OPENAI_API_KEY", "FINNHUB_API_KEY"]
         for var in env_vars:
             dependencies[f"env_{var.lower()}"] = {
                 "status": "configured" if os.getenv(var) else "missing"
             }
 
         # Check external services (simplified)
         dependencies["external_apis"] = {
-            "openai": "configured" if os.getenv("OPENAI_API_KEY") else "not_configured"
+            "openai": "configured" if os.getenv("OPENAI_API_KEY") else "not_configured",
+            "finnhub": "configured" if os.getenv("FINNHUB_API_KEY") else "not_configured",
         }
 
         return APIResponse(success=True, data=dependencies, message="Dependencies check completed")

docs/index.md

@@ -64,12 +64,18 @@ OPENAI_API_KEY=your_openai_key
 
     ```bash
     # Basic analysis
-    tradegraph AAPL MSFT GOOGL
+    uv run tradegraph AAPL MSFT GOOGL
 
     # Comprehensive analysis with custom parameters
-    tradegraph AAPL MSFT --portfolio-size 250000 \
+    uv run tradegraph AAPL MSFT --portfolio-size 250000 \
       --risk-tolerance aggressive \
       --analysis-type comprehensive
+
+    # Quick screen
+    uv run tradegraph TSLA NVDA --analysis-type quick
+
+    # Alerts-only + JSON output
+    uv run tradegraph AAPL --alerts-only --output-format json
     ```
 
 === "Python API"
@@ -107,6 +113,43 @@ OPENAI_API_KEY=your_openai_key
     # Open http://localhost:3000
     ```
 
+### Real-Time WebSocket Channels
+
+Three curated channels expose tier-one market news, open-license agencies, and real-time price trends via FastAPI:
+
+1. `top_market_crypto` – Reuters, CNBC, Wall Street Journal, MarketWatch, and CoinDesk
+2. `open_source_agencies` – The Guardian, BBC Business, Al Jazeera, NPR, and Financial Express
+3. `live_price_stream` – Finnhub equities + Binance crypto spot prices with last year/month/day/hour performance
+
+Start the channel server locally:
+
+```bash
+uv run uvicorn tradegraph_financial_advisor.server.channel_server:app --reload
+```
+
+Listen from any WebSocket client:
+
+```js
+const socket = new WebSocket('ws://127.0.0.1:8000/ws/top_market_crypto?symbols=AAPL,MSFT,BTC-USD');
+socket.onmessage = (event) => {
+  console.log(JSON.parse(event.data));
+};
+```
+
+Snapshots are also available via `GET /channels/{channel_id}?symbols=AAPL,MSFT`.
+
+### Multichannel PDF Reports
+
+Generate investor-ready PDFs that merge channel summaries, recommendations, and the trend matrix (month/week/day/hour lookback so the results focus on month-to-date moves):
+
+```bash
+uv run tradegraph AAPL BTC-USD --analysis-type comprehensive --channel-report \
+  --pdf-path results/aapl_crypto_multichannel.pdf
+```
+
+The resulting file includes the ChannelReportAgent executive summary, news highlights, allocation guidance, and a multi-horizon trend table.
+
+
 ## 📈 Example Output
 
 ```json

examples/basic_usage.py

@@ -229,7 +229,9 @@ async def main():
 
     # Check environment first
     if not check_environment():
-        print("\n⚠️ Please configure your environment variables before running examples")
+        print(
+            "\n⚠️ Please configure your environment variables before running examples"
+        )
         return
 
     # Run examples

pyproject.toml

@@ -30,26 +30,30 @@ dependencies = [
     "requests>=2.31.0",
     "aiohttp>=3.9.0",
     "beautifulsoup4>=4.12.0",
+    "feedparser>=6.0.0",
     "pandas>=2.1.0",
     "numpy>=1.24.0",
     "python-dotenv>=1.0.0",
     "pydantic>=2.5.0",
     "pydantic-settings>=2.0.0",
     "asyncio>=3.4.3",
     "loguru>=0.7.0",
-    "yfinance>=0.2.0",
     "alpha-vantage>=2.3.0",
     "python-dateutil>=2.8.0",
     "plotly>=5.15.0",
+    "kaleido>=0.2.1",
+    "duckdb>=0.10.0",
     "fastapi>=0.118.0",
+    "reportlab>=4.0.0",
+    "uvicorn>=0.30.0",
 ]
 
 [project.optional-dependencies]
 dev = [
     "pytest>=7.4.0",
     "pytest-asyncio>=0.21.0",
     "pytest-cov>=4.1.0",
-    "black>=23.0.0",
+    "black==23.3.0",
     "isort>=5.12.0",
     "flake8>=6.0.0",
     "mypy>=1.5.0",

requirements.txt

@@ -7,15 +7,19 @@ mcp>=1.0.0
 requests>=2.31.0
 aiohttp>=3.9.0
 beautifulsoup4>=4.12.0
+feedparser>=6.0.0
 pandas>=2.1.0
 numpy>=1.24.0
 python-dotenv>=1.0.0
 pydantic>=2.5.0
 loguru>=0.7.0
-yfinance>=0.2.0
 alpha-vantage>=2.3.0
 pytest>=7.4.0
 pytest-asyncio>=0.21.0
 pytest-cov>=4.1.0
 python-dateutil>=2.8.0
 plotly>=5.15.0
+kaleido>=0.2.1
+duckdb>=0.10.0
+reportlab>=4.0.0
+uvicorn>=0.30.0

src/tradegraph_financial_advisor/agents/__init__.py

@@ -0,0 +1,15 @@
+from .channel_report_agent import ChannelReportAgent
+from .financial_agent import FinancialAnalysisAgent
+from .news_agent import NewsReaderAgent
+from .recommendation_engine import TradingRecommendationEngine
+from .report_analysis_agent import ReportAnalysisAgent
+from .multi_asset_allocation_agent import MultiAssetAllocationAgent
+
+__all__ = [
+    "ChannelReportAgent",
+    "FinancialAnalysisAgent",
+    "NewsReaderAgent",
+    "TradingRecommendationEngine",
+    "ReportAnalysisAgent",
+    "MultiAssetAllocationAgent",
+]