Financial markets are complex and highly influenced by both historical trends and real-time news sentiment. Traditional stock analysis often requires extensive manual effort, making it difficult for investors to react efficiently.
The S.M.A.R.T (Stock Market Analysis & Recommendation Tool) is an AI-powered system that enhances financial decision-making by combining real-time sentiment analysis, stock trend calculations, and AI-driven recommendations. Built on Google Cloud, this project integrates Gemini 1.5 Pro for sentiment analysis, moving averages for stock trend assessment, and a weighted recommendation engine to deliver actionable insights.
By leveraging Google Cloud Functions, Cloud Run, and Workflows, this solution offers scalability, automation, and high-speed financial data processing, ensuring investors receive accurate and timely buy/hold/sell recommendations.
The stock market is driven by multiple factors, including financial news, market sentiment, and historical trends. Traditional stock research is time-consuming and prone to bias, making it difficult for traders and investors to make fast, data-driven decisions.
S.M.A.R.T addresses these challenges by:
✅ AI-Driven Sentiment Analysis – Analyzes financial news in real-time.
✅ Stock Trend Calculation – Uses moving averages for market insights.
✅ Dynamic Recommendation Engine – Generates AI-powered Buy/Hold/Sell decisions.
✅ Google Cloud-Powered – Serverless execution for high scalability & efficiency.
✅ Parallel Processing – Uses ThreadPoolExecutor for up to 5x faster processing.
✅ Interactive Dashboard – Visualizes stock trends and AI recommendations.
This tool utilizes a structured prompt for Gemini AI to analyze real-time stock sentiment, ensuring reliable outputs.
Example Prompt for Sentiment Analysis:
Analyze the sentiment of the following financial news related to [Stock_Ticker]:
[Financial News Snippet]
Score sentiment from -1 (Very Negative) to 1 (Very Positive).
Provide a concise explanation of how this news affects the stock’s movement.
By structuring the prompt effectively, S.M.A.R.T ensures AI-generated insights remain relevant and precise.
📈 Improved Investment Decisions – AI-driven recommendations based on real-time data.
💰 Optimized Portfolio Strategies – Provides better risk assessment by combining multiple indicators.
🚀 High Scalability – Processes multiple stocks in parallel, handling large-scale market analysis.
⏳ 5x Speed Improvement – Thread-based optimization reduces data processing times significantly.
🔹 Multi-Asset Support – Expand beyond stocks to include crypto & forex markets.
🔹 Real-Time Alerts – Implement push notifications for instant trade signals.
🔹 Enhanced Deep Learning Models – Improve sentiment classification with fine-tuned financial LLMs.
🔹 Portfolio Risk Analysis – Introduce AI-driven risk assessment tools.
The S.M.A.R.T - Stock Market Analysis & Recommendation Tool combines AI-driven sentiment analysis, historical trend tracking, and automated financial insights to revolutionize stock market research. By leveraging Gemini AI, Google Cloud, and Python-based financial modeling, this system provides timely, data-backed trading recommendations, making financial analysis more efficient and accessible.
🛠 Developed by Rishi Ramesh
🔗 LinkedIn
🔗 GitHub Repository
💡 Open-Source Contributions Welcome!
📜 License: MIT – Free to use, modify, and contribute!
"Invest smarter with AI-powered insights. S.M.A.R.T helps you stay ahead of market trends with real-time analysis and AI-driven recommendations."