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AI-Powered Stock Market Analytics & Prediction Application

Freelancer

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placeIN home_workRemoto assignmentDeterminato publicOfferta aggregata · IN

eventPubblicata il 31 ott 2026 · verifiedAbbiamo verificato il 31 ott 2026 che è ancora attiva

Questa azienda è tua?

₹ 6.000 – ₹ 6.001 per progetto

Sull'offerta

AI-Powered Stock Market Analytics & Prediction Application We are looking to develop an intelligent stock market analytics and prediction platform for Android and iOS that leverages Artificial Intelligence and Machine Learning to help investors and traders make more informed decisions. The application should analyze historical stock market data, real-time market movements, trading volumes, technical indicators, and market trends to generate actionable insights and predictive analytics. Key Features & Requirements: AI-Based Stock Price Prediction: Predict potential stock price movements using historical data, machine learning models, and market trends. Real-Time Market Analytics: Live stock prices, market movements, trading volume, and performance tracking. Technical Analysis: Automated analysis of RSI, MACD, moving averages, Bollinger Bands, and other technical indicators. AI Trading Signals: Generate potential Buy, Sell, and Hold signals with confidence scores and supporting explanations. Predictive Analytics Dashboard: Visualize stock trends, price forecasts, volatility, and market sentiment through interactive charts. Portfolio Tracking: Monitor investments, portfolio performance, risk exposure, and potential opportunities. AI Market Sentiment Analysis: Analyze financial news, announcements, and market sentiment to identify factors influencing stock movements. Personalized Alerts: Notifications for price movements, predicted trends, significant market changes, and trading opportunities. Technical Expectations: Native or cross-platform mobile development (Flutter / React Native). Integration with reliable real-time stock market data APIs. Python-based AI/ML models for forecasting and predictive analytics. Backend infrastructure for data processing, model execution, and user management. Secure authentication and scalable architecture. Expected Outcome: A fully functional, scalable AI-powered stock market intelligence application with an intuitive interface, reliable analytics, and explainable predictions. We are open to discussing the appropriate AI/ML approach, data providers, technology stack, and development phases with experienced developers.

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