THE GENIUS PROJECT
๐ŸŽ“ Free beginner course ยท No finance experience needed

Predict the Stock Market with AI

Money is just another thing you can predict with data. This week you will learn to forecast a real Jamaican stock, NCB, using real Jamaica Stock Exchange prices. Short lessons take you from the simplest guess, to statistics, to real machine learning, with interactive labs, a certificate worth 200 XP, and a live challenge: predict NCB's closing price for Tuesday. The most accurate prediction wins a prize.

13LESSONS
~4 hrsTO COMPLETE
RealNCB / JSE DATA
200 XPCERTIFICATE + PRIZE
Start Lesson 1 →

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← Week 2: Machine Learning Week 4: Build and Compete →
๐Ÿ’ผ This week, you are working for Adrian Dunkley

Adrian Dunkley is the Caribbean's top AI builder. Over more than 15 years in AI he has launched multiple companies and made billions. He is also a financial engineer who has been a Vice President of investment firms managing tens of billions in funds, and he has made hundreds of people wealthy. This week he is handing you the desk, and he wants to see if you can be one of them. Build the best NCB prediction you can, because he is watching. Impress him.

Never bought a stock in your life?
Perfect. Start right here.

You do not need any money, any finance class, or any code. Every idea starts from something you already get, like guessing tomorrow's weather from today's, or how the price of a patty creeps up over time. Then we connect that plain intuition to the real charts, the real maths, and the real Python that professionals use, one small step at a time.

This is how money moves.

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Every pension, bank, and insurance company uses prediction to decide where to put money. It is a real job.

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The same skills power fintech, trading, credit scoring, and fraud detection, some of the best-paid work in tech.

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Jamaica has a real stock market. Understanding it helps you, your family, and your community grow wealth.

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Learning to say how sure you are, and to admit when you cannot know, is a life skill far beyond money.

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Read a real stock chart and explain what a price over time is telling you.

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Make baseline predictions and know why you must always beat them.

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Fit a trend line and measure exactly how wrong a prediction is.

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Turn prices into features and train a machine learning model to forecast.

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Run real Python on stock data with pandas and scikit-learn.

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Earn a downloadable certificate and 200 XP, and enter the NCB challenge.

Basic, to statistics, to machine learning.

Each lesson builds on the one before, and every one uses the same real NCB prices. The two modelling lessons open into six hands-on model pages, so the full path is 13 short lessons. They unlock one at a time as you finish them, so start at the top. Your place is saved.

Play with every model, one at a time.

Lessons 3 and 4 introduce the six models the pros use. Each one also has its own hands-on deep dive: a plain-words explanation, an interactive game, and a live chart on real NCB data. Optional, but this is where it really clicks.

The 3 statistical models

The 3 machine learning models

๐Ÿ† Bonus challenge: predict your own light bill

Put the moving average and the trend line to work on something real: your household's next JPS light bill. Follow the step-by-step guide, drop your last six bills into the live calculator, and get a forecast. In a heatwave, this one pays for itself. Open the bonus →

๐Ÿ† The challenge: predict NCB's Tuesday close

NCB Financial Group (ticker NCBFG) is one of the biggest companies on the Jamaica Stock Exchange. On Friday, July 10, 2026 it closed at J$74.50. Your mission: use what you learn this week to predict its closing price on Tuesday, July 14, 2026. Submit your number in Lesson 7. Finishing the course and submitting your forecast earns you 200 XP, the most accurate prediction wins a prize, and you get the bragging rights of out-forecasting a multibillion-dollar portfolio manager.