AI-Powered Stock Analysis Tool Development

@tarun308

Hello, I would like to apply for your AI-powered stock analysis and forecasting MVP. I have extensive experience python based, Web apps and Mobile apps, I have also done some work related building trading apps for Crypto markets and have experience dealing with financial data, with a strong focus on clean validation, production-ready APIs. ? How I Will Approach the Project Backend (FastAPI + Python) Modular architecture separating data ingestion, indicators, models, and APIs Yahoo Finance OHLCV ingestion with caching Clean REST endpoints: Dockerized deployments I am fully comfortable completing the mandatory paid test task within 48–72 hours: Fetch 6 months of AAPL / RELIANCE OHLCV Runnable local setup with clear instructions ⏱ Timeline & Delivery Backend + OHLCV API: ~1–1.5 weeks Forecast Engine + API, Frontend Dual Chart: ~1–1.5 weeks I am comfortable with milestone-based payments GitHub-based delivery, and signing the NDA. All code will be original, clean, and fully owned by you. Best regards, Tarun Gupta

@PINESCRIPTERR

Hi! I've built similar AI-powered stock analysis tools with time-series forecasting, specializing in Python, FastAPI, technical indicators, and walk-forward backtesting. I can share relevant stock prediction projects directly in chat. Forecast Accuracy Approach: I'll achieve ~70% directional accuracy through: - Feature engineering with multiple technical indicators and volume patterns - XGBoost ensemble model with hyperparameter tuning - Walk-forward validation on rolling windows to prevent overfitting - Weighted recent data for trend adaptation - Volatility-adjusted predictions using ATR I'm ready to complete the mandatory paid test task (AAPL/RELIANCE 6-month forecast with walk-forward accuracy) within 48-72 hours to demonstrate my capabilities before full project engagement. Let's discuss your milestone-based budget and timeline in chat. I accept 0% upfront with payment released after successful testing of each milestone, and I'm prepared to sign your NDA immediately. Best regards, Houssame

@amjad2

Hi there! I’ve reviewed your project and specialize in developing AI-powered tools and financial applications. I’ll build the backend with FastAPI to handle OHLCV data, create the forecasting engine, and implement the dual-chart layout as per your Figma prototype. Let’s schedule a quick meeting to discuss your vision and how I can make it a reality! Best Regards, Amjad Iqbal

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for AI-Powered Stock Analysis Tool Development. We are experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@CyberSasu

I’ll learn as I go. The stock market is an ever-changing landscape that requires an astute understanding of data and predictive technologies. This is why I believe I'm the perfect fit for your AI-Powered Stock Analysis Tool project. My background in Developing, Mobile and Web technologies, Machine Learning, Python, and specifically using technologies like ARIMA and XGBoost for time-series forecasting means I have the specific skills required to create your MVP. For example, utilizing my strong Pandas knowledge and experience with OHLCV data, I'll build you a robust backend system that fetches real-time data from Yahoo Finance with expandable endpoints. I’ll also ensure the construction of accurate technical indicators for your forecast models. On the frontend, clean UI design is one of my core competencies, matching your figment prototype won't be an issue. Incorporating dual-chart layout (real candlestick and future chart) with sought-after features like a ticker search and timeframe buttons are well within my scope. Regarding your concern for directional accuracy: Utilizing my trained models' output (expected to achieve accuracy above 70%), I plan to showcase directional accuracy of either AAPL or RELIANCE 6 months OHLCV in my paid test task as requested; this way you can rest assured that I'm able to deliver as promised. Let’s embark on this project together —allow me to transform your Figma prototype into a robust working product.

@Rahulsingh5xz

Hello, I am Rahul Singh from Team Velora, running successfully for 3 years. We specialize in building modular, production-ready Python & React applications with a focus on time-series forecasting and financial data analysis. Please join a private chat to see examples of our previous stock and ML-based dashboards. We ensure clean code, accurate ARIMA/XGBoost forecasts, seamless OHLCV charting, and fully functional dual-chart frontends, aligned with your Figma prototype and milestone plan.