Finbee AI

Real-time market analysis • Decisive investment strategies • Wall Street-grade insights

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🎯 Core Features

🧠 Intelligent Decision Engine Get direct Buy, Sell, or Hold recommendations backed by real-time data analysis—no hedging, just decisive Wall Street-grade insights.	📊 Real-Time Market Data Integrated with Yahoo Finance API for up-to-the-minute stock and cryptocurrency quotes with sub-second latency.
📈 Dynamic Visualization On-demand historical performance charts and technical indicators rendered directly in the chat interface.	🎪 Conversational Profiling AI-driven risk assessment and investment goal analysis for personalized portfolio recommendations.

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🚀 Quick Start Guide

📋 Prerequisites

💻 Installation

🔧 Step-by-Step Setup

1. Clone Repository

git clone https://github.com/your-username/finbee-ai-app.git
cd finbee-ai-app

2. Environment Setup

macOS/Linux:

python3 -m venv venv
source venv/bin/activate

Windows:

python -m venv venv
.\venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment Variables

Create .env file:

# API Configuration
GOOGLE_API_KEY="your-actual-google-api-key"
RAPIDAPI_KEY="your-actual-rapidapi-key"

5. Local Development Server

Create run_local.py:

# run_local.py
from dotenv import load_dotenv
load_dotenv()

from app import app

if __name__ == "__main__":
    app.run(debug=True, port=5001)

6. Launch Application

python run_local.py

Navigate to http://127.0.0.1:5001

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🏗️ Technology Architecture

Frontend Stack

Backend Infrastructure

AI & Data Layer

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🌐 Production Deployment

Deployment Pipeline

1. Repository Setup: Push code to GitHub repository
2. Vercel Integration: Import repository into Vercel dashboard
3. Environment Configuration: Add GOOGLE_API_KEY and RAPIDAPI_KEY to Vercel environment variables
4. Automatic Deployment: Vercel detects vercel.json and deploys as Python Serverless Function

Note: Any push to main branch triggers automatic redeployment with zero downtime.

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🔄 Agentic Workflow Architecture

Intelligence Flow

	Request Processing Flask backend receives user requests and maintains conversation state with session management.
	Intelligent Analysis Gemini 2.5 Pro analyzes context and determines optimal response strategy using advanced reasoning.
	Tool Selection AI selects appropriate tools and parameters for real-time data retrieval and analysis.
	Market Data Integration Secure API calls to RapidAPI services for real-time market data and financial metrics.
	Professional Analysis Wall Street-grade insights generated with decisive recommendations and data-driven rationale.

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🌟 Experience the Future of Financial Intelligence

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_{Built with cutting-edge AI technology for professional traders and investors worldwide}