Global market course

Learn the Global Markets.

A beginner-friendly introduction to markets, stocks, sectors and risk — and how ATLAS brings these ideas together to help you build a portfolio.

01

Welcome to Global Markets

Understand what global financial markets are and why they matter.

Global markets are the worldwide network where financial assets such as stocks and other securities are bought and sold. They allow companies to raise capital and give investors the opportunity to participate in the growth and performance of businesses around the world.

Real-world example

A company such as Apple can raise money from investors by issuing shares. Investors can then buy and sell those shares based on their expectations about Apple's future performance.

Mini Quiz
1. What is one main purpose of financial markets?
2. Can the value of an investment change over time?
02

What Are Stocks?

Learn what owning a stock actually means.

A stock represents a unit of ownership in a publicly traded company. When you buy a stock, you become a shareholder and gain exposure to the company's future performance. A stock's market price reflects what buyers and sellers believe the company may be worth in the future.

Company performance

Results, growth and expectations can influence investor demand.

Economic conditions

Interest rates, inflation and the broader economy can affect companies and their valuations.

Market events

Industry changes, geopolitical events and other developments can move prices.

Real-world example

If investors expect demand for electric vehicles to increase, they may become more optimistic about companies involved in the electric-vehicle industry. This can influence demand for their stocks and therefore their prices.

03

What Is ATLAS?

From historical data to quantitative investment insights.

ATLAS is a quantitative investment platform that uses historical market data to compute probabilities about future stock-price movements. These quantitative insights help users understand potential outcomes and construct portfolios according to the return and risk characteristics they choose.

Instead of relying only on intuition, ATLAS analyzes data from the past to identify patterns and calculate probabilities that can support investment decisions.

Historical Data→ Quantitative Analysis→ Probabilities→ Portfolio Construction→ Risk Monitoring
04

How Are Portfolios Built?

Your portfolio starts with the return you want and the risk you are willing to take.

Choose your risk profile

Conservative

Lower risk

Prioritizes a lower level of risk and more limited price fluctuations.

Balanced

Middle ground

Seeks a balance between potential return and risk.

Aggressive

Higher risk

Accepts higher risk in pursuit of higher potential return.

Or define your own parameters

Volatility

How much a stock's price moves over time. Higher volatility generally means larger price movements and greater uncertainty.

Beta

How sensitive a stock is to movements in the broader market. A beta above 1 generally indicates greater sensitivity than the market; below 1 generally indicates lower sensitivity.

Interactive — Risk Profile Selector

Balanced
A middle ground between potential return and risk.
05

Understanding Market Sectors

Companies can be grouped according to the business areas in which they operate.

Sectors are specific areas of the global markets that group companies according to the type of business they conduct. For example, the pharmaceutical and healthcare sector includes companies involved in medicines, healthcare products and related services.

Examples of sectors

Technology
Energy
Healthcare & Pharmaceuticals
Financial Services
Real Estate
Consumer Goods
Industrials

Real-world example

If oil prices rise sharply, investors may consider how the Energy sector could benefit while also considering which other sectors could be negatively affected by higher energy costs.

06

Build a Portfolio

Bring together return, risk, beta, volatility and sectors to create a portfolio that reflects your objectives.

A portfolio is a combination of stocks. Start by defining the characteristics you are looking for, then think about how different companies and sectors can work together. ATLAS calculates predictions and probabilities about potential future stock-price movements using quantitative tools such as Monte Carlo simulations.

A balanced starting point for your portfolio.

Portfolio challenge

“You want higher potential returns and are willing to accept larger market movements. How would you adjust your target return, volatility and beta, and what sectors might you consider?”

07

Understanding Predictions & Probabilities

How ATLAS uses data and simulations to estimate possible future outcomes.

Predictions & Probabilities

What is a prediction?

A prediction is an estimate of what could happen in the future based on information and patterns observed in historical data. In financial markets, a prediction is not a guarantee — it is an estimate of a possible future outcome.

What is a probability?

A probability expresses how likely a particular outcome is based on the information and assumptions used in the analysis. ATLAS uses probabilities to help users understand the range of potential future stock-price movements.

Monte Carlo Simulation

What is it?

A Monte Carlo simulation is a mathematical method that generates many possible future scenarios by repeatedly changing inputs according to defined assumptions and historical patterns.

What does it do?

Instead of looking at only one possible future, the simulation explores many different paths. The results can then be used to estimate the probability of different outcomes and help illustrate the range of possible future stock prices.

Simple example

Imagine that ATLAS runs thousands of possible scenarios for a stock. Each scenario represents a different potential path the stock price could take. By looking at the results together, ATLAS can estimate the probability of different price outcomes rather than assuming that there is only one future.

Historical Data→Possible Scenarios→Monte Carlo Simulation→Probability Distribution→Investment Insight
Important: Probabilities describe possible outcomes, not certain ones. Markets can behave differently from historical patterns, so quantitative predictions should be understood as decision-support information rather than guarantees.
08

How to Build a Portfolio in ATLAS

See how the concepts you have learned are applied directly on the ATLAS platform.

Follow the process step by step: define the return you are looking for, choose the level of risk you are willing to take, and use ATLAS to construct a portfolio based on those objectives.

See it on the platform

The ATLAS probability card for Apple: the chance the price goes up in the next 30 days
The probability card in ATLAS: the first number you see for any stock, before you add it to a portfolio.
09

Putting It All Together

Connect the concepts to the ATLAS experience.

You've learned what global markets are, what stocks represent, how sectors group companies, and how volatility and beta describe different aspects of risk.

ATLAS brings these concepts together to help construct portfolios based on the return and risk characteristics you choose.

Global Markets→Stocks→ Sectors→Risk→ Your Profile→Your Portfolio
10

Final Mini Quiz

Check what you've learned.

What does a stock represent?
What does volatility measure?
What does beta measure?
What is a sector?
What is the main purpose of a Monte Carlo simulation in ATLAS?

11 — Final challenge

Become the investor.

Create a portfolio for a fictional investor with a specific return objective and risk tolerance. Select the appropriate risk profile, choose stocks across sectors, and explain your choices.

Build your portfolio →