About Our Project

Deployed link:-

https://obnoxious-erna-bfdfdgd-fc37455c.koyeb.app/

Excited to Share Our Latest Project: ClarityTrade!

I'm thrilled to introduce my latest project, a ClarityTrade built using Python, Flask, and a suite of powerful libraries and APIs. This tool is designed to help investors make informed decisions by providing real-time stock predictions, technical analysis, and investment insights. Here's a breakdown of its key features:

1. Real-Time Stock Predictions

Predictive Modeling: leveraging Random Forest Regression and technical indicators (like RSI, MACD, Moving Averages), the tool predicts future stock prices with high accuracy.

Historical Data Analysis: Fetches historical stock data using the Alpha Vantage API and trains the model to forecast prices.

2. Investment Decision Support

AI-Powered Insights: Integrates with Google News API to fetch the latest stock-related news and uses Gemini AI to provide actionable investment recommendations.

Customizable Reports: Generates formatted investment decisions with bold text, bullet points, and HTML formatting for easy readability.

3. Interactive Visualizations

Plotly Charts: Displays interactive charts comparing predicted vs. actual stock prices over time.

Dynamic Updates: Visualizations are updated in real-time based on user inputs.

4. User Authentication & Data Logging

Secure Login: Users can register and log in securely with email verification and password protection.

Dynamic Updates: Visualizations are updated in real-time based on user inputs.

5. Holiday & Market Awareness

Holiday Detection: The tool checks for market holidays using the Holiday API to avoid making predictions on non-trading days.

6. Chatbot Integration

AI Chatbot: Users can interact with a Gemini-powered chatbot to ask questions about their investment decisions or stock predictions. The chatbot provides context-aware responses and handles out-of-context queries gracefully.

7. Email Notifications

Verification Codes: Sends email verification codes using SMTP for secure user authentication.

Custom Alerts: (Future feature) Plans to include email alerts for significant stock price changes or investment opportunities.

8. Scalable & Modular Design

Flask Framework: Built using Flask for a lightweight and scalable web application.

Modular Code: The codebase is modular, making it easy to add new features or integrate additional APIs.

9. Open Source & Extendable

GitHub Repository: The project is open-source, allowing developers to contribute, extend, or customize it for their needs.

Why This Project?

This project combines data science, web development, and AI to create a powerful tool for investors. Whether you're a beginner or an experienced trader, this assistant can help you make smarter investment decisions with confidence.