Now Enrolling · 2026

Using LSTM to Predict
Stock Markets with AI

A cutting-edge 1:1 research program in collaboration with Bradley University — guided by Prof. Du, an expert in AI-driven financial modeling. Build, train, and deploy a real LSTM model to predict stock market behavior.

16 Weeks · 1 hr/week Live Sessions
Flexible Online · Zoom
HS & Gap Year
Real-Time Stock Prediction Model
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About the Program

Where Deep Learning Meets the Financial Markets

Haddee Education, in collaboration with Bradley University, presents this AI-Driven Financial Research program: LSTM Applications in Stock Market Prediction. Open to talented high school and gap year students worldwide, it is personally guided by Prof. Du — an expert in AI modeling and Recurrent Neural Networks.

Students dive deep into the mechanics of Long Short-Term Memory (LSTM) networks, learning how to apply them to real financial time-series data. The program moves from foundational market analysis all the way to deploying a live prediction interface.

Every student produces a publishable research paper and a deployed AI model — with real-world impact and a powerful addition to any college application portfolio.

Program Mentor
Prof. Du
Prof. Du
Bradley University
Expert in AI Modeling & LSTM Networks

Prof. Du specializes in Recurrent Neural Networks (RNNs) and their application in financial markets. He has designed and implemented AI models to analyze stock trends using historical data, with a focus on practical, real-world applications that students can build and deploy themselves.

Published multiple research papers on stock market prediction and AI applications in finance.
Why This Program

What Makes This Program Exceptional

📈
High-End, Industry-Relevant Curriculum

From understanding financial data structures to deploying working AI models, every module is designed around skills that matter in the real world — from hedge funds to fintech startups.

🧠
World-Class 1-on-1 Instruction

Live sessions are tailored to your individual learning pace and background. Prof. Du works directly with each student — not through TAs or standardized curricula — ensuring deep understanding and genuine mentorship.

🚀
Deploy a Working AI Product

You won't just build a model — you'll deploy it. Students create a user-friendly interface for real-time stock predictions, leaving the program with a live, functional AI product they built themselves.

📄
Publishable Research Paper

Every student completes a comprehensive research paper covering methodology, findings, and future directions — written to academic standards using Python and LaTeX. A powerful differentiator for university applications.

Curriculum

What You'll Learn

16 weeks · 1 hour of live instruction per week · 8–10 hours of independent work weekly

Module 1
Foundations of Stock Market Analysis

Understand financial data structures, stock price trends, and key indicators like moving averages and volatility indices. Build fluency with real market data from Yahoo Finance.

Module 2
Data Preprocessing & Feature Engineering

Techniques for cleaning, normalizing, and engineering time series data. Learn how to prepare raw financial data into high-quality inputs for machine learning models.

Module 3
AI for Finance: RNNs & LSTM

Master the theory and implementation of Recurrent Neural Networks (RNNs) with a deep focus on Long Short-Term Memory (LSTM) architectures for predictive financial analysis.

Module 4
Model Deployment & Real-Time Predictions

Deploy your trained LSTM model for real-time predictions. Build a user-friendly interface that surfaces live financial insights — a working AI product you can showcase.

Module 5
Research Methodology & Academic Writing

Learn how to design and document a research study, write to academic standards, and communicate findings clearly. Master Python and LaTeX for professional scientific presentation. Every student produces a complete, publication-ready research paper.

Tools & Platforms
Python TensorFlow Keras Yahoo Finance API LaTeX Zoom Jupyter Notebook
Research Outcomes

What You'll Produce

🤖
Predictive AI Model
A trained LSTM model tailored to a specific stock market, capable of generating real predictions from live data.
🖥️
Deployed Real-Time Interface
A user-facing application that surfaces your model's predictions — a live, functional AI product you built from scratch.
📝
Full Research Paper
A comprehensive academic paper covering methodology, findings, and future directions — written to publication standards.
Participant Benefits

How This Elevates Your Profile

  • →
    Academic Growth
    Master AI fundamentals in finance — enhancing problem-solving, statistical reasoning, and technical depth.
  • →
    Enhanced College Competitiveness
    Strengthen university applications with a real research paper, a deployed AI product, program certificate, and recommendation letter from Prof. Du.
  • →
    Career-Ready Skills
    AI-driven financial analysis is one of the fastest-growing fields in tech and finance. Leave with hands-on expertise employers and graduate programs value.
Eligibility

Who Should Apply

🎒
HS & Gap Year
Open to high school students and gap year students worldwide.
💻
1+ Year of Programming
Minimum one year of programming experience required. Python knowledge strongly preferred.
⏰
8–10 hrs/week Commitment
Strong interest in AI and financial markets, with commitment to independent weekly work.
Application Process
Parents complete the Inquiry Form to receive the full program catalog and pricing. Students then complete an assessment test and the Haddee Research Application Form. Selected students are invited to an interview before admission.
Resources
Full Course Details & Syllabus
Limited Spots · Interview Required

Ready to Build an AI That
Predicts the Market?

Submit the Parent Inquiry Form and we will send you the full program catalog and pricing details. Spots are limited and fill on a first-come, first-served basis.

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