Gemini-Powered Financial News Signal Analyzer

QuantAnalyzer.AI is an AI-powered financial news analysis system that converts raw news articles into structured investment signals.

By combining Google Gemini LLMs, FastAPI, Streamlit, and ElevenLabs voice synthesis, the system analyzes financial news through an 8-step intelligence pipeline and produces:

• Market sentiment
• Signal strength
• Investment decision recommendations
• Natural language explanations
• Audio summaries

The goal is to help investors quickly interpret financial news and understand potential market signals.

• Extracts companies, people, events, and indicators
• Detects financial events (earnings, M&A, regulation, etc.)
• Performs sentiment analysis on market impact

• Generates signal strength scores (1–10)
• Determines bullish / bearish / neutral signals
• Produces buy / sell / hold / watch recommendations

• Key drivers behind the signal
• Potential risks
• Expected market volatility
• Suggested investment timeframe

Using ElevenLabs, the system converts the AI explanation into an audio summary.

Every news article goes through the following AI pipeline:

                +----------------------+
                |   Financial News     |
                |     (.txt file)      |
                +----------+-----------+
                           |
                           v
                  Streamlit Dashboard
                           |
                           v
                    Gemini LLM API
                           |
                           v
                8-Step Analysis Pipeline
                           |
                           v
         +----------------------------------+
         | Structured Financial Signal      |
         | - Sentiment Score                |
         | - Signal Strength                |
         | - Buy/Sell Recommendation        |
         | - Risk Factors                   |
         +----------------------------------+
                           |
                           v
                ElevenLabs Voice Summary

QuantAnalyzer-AI/
│
├── app.py          # Streamlit interactive dashboard
├── api.py          # FastAPI backend with REST endpoints
├── .env            # Environment variables (not committed)
├── news.txt        # Example input file
├── requirements.txt
└── README.md

git clone https://github.com/yourusername/QuantAnalyzer-AI.git
cd QuantAnalyzer-AI

pip install -r requirements.txt

Or install manually:

pip install streamlit fastapi uvicorn python-dotenv google-generativeai elevenlabs

Create a .env file in the project root:

GEMINI_API_KEY=your_gemini_api_key
ELEVENLABS_API_KEY=your_elevenlabs_api_key

Gemini API:
https://ai.google.dev/

ElevenLabs:
https://elevenlabs.io/

streamlit run app.py

Then open:

http://localhost:8501

1. Upload a .txt financial news article
2. Run the 8-step analysis pipeline
3. View:
   • Signal direction
   • Sentiment score
   • Investment recommendation
   • Risk factors
4. Listen to the AI-generated audio explanation

Start the API server:

uvicorn api:app --reload --port 8000

API documentation automatically appears at:

http://localhost:8000/docs

• Financial news intelligence
• Market sentiment tracking
• Quantitative trading signals
• AI-powered analyst reports
• Hackathon AI demo projects

This project is for educational and research purposes only.

The signals generated by the system should not be considered financial advice.

Shresta Munikuntla

Sadwitha Thopucharla

Jaya Vardhini Akurathi

Siddhaarth Balamuthaiya