Generation STEM
Courses/Finance · Ages 13-18 · Intermediate
Algorithmic Trading (Finance) course artwork

Algorithmic Trading (Finance)

A Python-powered Algorithmic Trading course where teens build a 16-program Trading Lab notebook covering profit, returns, compounding, market data, moving averages, risk, backtesting, benchmarks, metrics, and a configurable trading bot.

▸16 lessons▸6-8 weeks▸Instant help when stuck▸Browser workspace
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// learn by building

Here's what you build by Module 4 (What Moves a Price).

// course experience

Meet the workspace.

Students build through real coding environments while their personal AI mentor helps them through each challenge.

✓Approved market data
✓Backtests on teaching series
✓Risk and position sizing
✓No brokerage connection
course-player.png
[ course-player.png ]browser editor · terminal · AI mentor help
// the quick version

What is Algorithmic Trading (Finance)?

Use code to understand markets, money, and the algorithms quietly moving modern finance.

🛠️

What you'll learn

  • ▸Analyze real market data with Python
  • ▸Build and backtest trading strategies
  • ▸Learn risk, returns, and position sizing
  • ▸Think about money quantitatively
🎯

Who it's for

Teens fascinated by markets, math, and how the financial world actually operates.

Ages 13-18 · intermediate
🚀

Where it leads

Quantitative finance and fintech are among the most competitive, highest-paid fields — and they run entirely on code. This is a rare early head start.

Quant FinanceFintechData ScienceEconomics
// curriculum

A clear path from first concept to final project.

8 modules designed for steady momentum and project-based practice.

Students make their first trade in code, calculating price, position size, cost, proceeds, profit, and percent return.

Learning objective: Students build a single-trade calculator and trade tracker while learning cost = price * quantity, proceeds, profit, percent return, gain/loss, and fair trade comparison.

Lesson 1: Your First TradeLesson 2: It's All About Percent
🎓
Students:
✓Learn finance through real Python programs instead of stock-market hype
✓Use authentic vocabulary like return, spread, moving average, stop-loss, position size, backtest, benchmark, equity curve, drawdown, and overfitting
✓Run programs against approved market-data endpoints while staying inside a safe sandbox
✓Practice Python, math, data analysis, systems thinking, and risk awareness in one course
✓Finish with a 16-program Trading Lab notebook and a configurable backtesting bot
👪
Parents:
✓No brokerage setup, real trades, financial advice, or account credentials
✓A sober engineering-first approach to a high-interest finance topic
✓Safe internal market endpoints instead of arbitrary public internet access
✓Practical Python, math, data literacy, and risk-thinking skills
✓A strong next step after Python for Teens for students interested in finance, analytics, AI, economics, or quantitative systems
✓Visible portfolio outcomes, Nova support, parent progress tracking, achievements, and certificates
// skills learned

Real technical vocabulary and practice.

Students learn the language of the field while building things that make each concept concrete.

Trade Profit MathPercent ReturnsCompound GrowthMarket HistoriesDaily ReturnsBid / Ask SpreadMoving AveragesCrossover SignalsStop LossesPosition SizingBacktestingBenchmarkingDrawdownApproved Market API Requests
// proof of work

Finish the course. Earn the certificate.

Every track ends in a verifiable Certificate of Completion - a real milestone your student can add to a portfolio, application, or resume. Proof they didn't just watch a video; they shipped real projects.

✓Awarded automatically when all lessons are complete
✓A shareable PDF plus a verifiable completion link
✓Lists the real skills practiced - not just attendance
✓A finish line students actually work toward
Start the course →
Generation STEM
Certificate of Completion
This certifies that
Your Name
has successfully completed all projects of
Algorithmic Trading (Finance)
Daniel Mondeu
Founder, Generation STEM
★CERTIFIED
January 1, 2026
Date issued
// parent questions

Clear answers before you enroll.

No. Students do not connect brokerage accounts, place real trades, collect credentials, or receive financial advice. They work in a safe educational sandbox with simulated positions and approved market-data endpoints.

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From $174 upfront for 6 months · 30-day money-back guarantee