AI-Driven Stock Trend Predictor

Multi-phase research and engineering project exploring data collection, financial analytics, and predictive modeling for stock price trends.

Table of Contents

• Overview
• Project Roadmap
• Repository Structure
• Tech Stack
• Installation
• Phase Summaries
  • Phase 1 — Data Engineering
  • Phase 2 — Financial Basics
  • Phase 3 — Predictive Modeling
• Future Work
• License

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Overview

This project is designed to gradually develop an end-to-end stock trend prediction system, starting from data engineering to financial analysis and eventually machine learning-driven predictions.

Each phase focuses on a specific aspect — building modular, cloud-ready code that can later integrate with AI microservices. The goal is to create a comprehensive system that:

• Collects and processes stock market data from multiple sources
• Analyzes financial statements and key financial ratios
• Builds predictive models for stock price trends
• Deploys the solution as a scalable cloud service

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Project Roadmap

The detailed roadmap and development milestones are available here: docs/roadmap.md

Quick Overview:

• ✅ Phase 1: Data Engineering (Completed)
• 🚧 Phase 2: Financial Fundamentals (In Progress)
• 📅 Phase 3: Predictive Modeling and Cloud Deployment (Upcoming)

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Repository Structure