Learn Python for
algorithmic trading

Turn your trading ideas into code you can run, test, and understand. Learn to work with market data, backtest a strategy, and build a paper-trading bot—even if you've never written Python.

Join 500+ students who have learned with Python for Traders. Work at your own pace, with lesson code examples and downloadable resources.

Fig 1Illustrative data · 220 sessionsReturn 52.5%Max drawdown -4.9%

Courses

Choose where to start

New to Python? Start with the Masterclass. Already know the basics? The Challenge gives you a smaller project. Both are self-guided, with a one-time payment.

Bot Building Challenge

Build your first paper-trading bot

Build a trend-following bot from strategy discussion through backtesting, data management, and paper orders. Follow along with the complete source code.

  • Some Python familiarity recommended
  • 16 lessons / about 80 minutes of video
  • Complete bot code included
See price on Payhipone-time paymentSee the challenge

Masterclass

6 sections

Learn the full trading workflow

Ready to go deeper? Learn to collect market data, test your trading ideas, and automate paper trades. Six sections take you from Python basics to a complete bot.

  • Python foundations
  • Strategy research
  • Market data pipeline
  • Backtesting and broker APIs
See price on Payhipone-time paymentSee the masterclass

What you learn

Use Python to answer real trading questions

Does the rule hold up? How much can it lose? What order would the bot place? Learn to answer those questions with your own data and code.

Illustrative examples of the work you learn to do. Figures shown are sample data.

01 / BACKTEST

Test a trading rule

momentum.ipynb

Run the same rule across years of history and include the costs that change the result.

Return
24.8%
Max drawdown
-9.6%
Trades
148

02 / MARKET DATA

Build clean price history

dateopenhighlowclose
08-17643.11646.32641.84645.22
08-18645.08648.70643.91647.56
08-19647.62649.14644.20645.03
08-20645.31651.08644.88650.72

Download, clean, store, and update the same data for every test.

03 / AUTOMATION

Run a paper-trading workflow

Connect data, signals, risk checks, and broker orders in one process you can follow from start to finish.

paper_bot.logconnected
  1. 09:30:01prices updateddone
  2. 09:30:04signal calculatedlong
  3. 09:30:05risk checkpassed
  4. 09:30:07paper orderfilled

01

You trade and have rules you want to test.

02

You use spreadsheets and need a repeatable process.

03

You can code but market data and execution are new.