Roboquant

Free course

The free Roboquant course

13 short video lessons that take you from a trading idea to a backtested strategy to a bot running on your account.

Start here

Build a strategy and understand your first backtest.

Lesson 1

Strategy development process

Start here: understand the journey from an idea to a tested strategy.

Lesson 2

Build your first trading bot

Follow the complete walkthrough from strategy creation to deployment.

Lesson 3

Win rate and risk/reward

Understand when win rate and risk/reward matter in your results.

Find your starting point

Explore an idea or bring a strategy you already have.

Lesson 4

8 trading beliefs that are completely wrong

Revisit the assumptions you bring to building a trading strategy.

Lesson 5

How to find a profitable strategy

Find a strategy idea that you can turn into clear, testable rules.

Lesson 6

Create a bot from a video

Turn a strategy explained in a video into a Roboquant bot.

Lesson 7

Translate PineScript into a Roboquant bot

Bring an existing PineScript strategy into Roboquant.

Build and improve

Develop more advanced strategies with AI.

Lesson 8

Build a complex strategy from scratch

Work through a more detailed strategy one part at a time.

Lesson 9

Improve your strategy with AI

Use AI to explore improvements to an existing strategy.

Lesson 10

Agentic strategy development

Work with AI through the strategy development process.

Lesson 11

Add a tick-based trailing stop

Learn how to add and test a trailing stop in your strategy.

Prepare for deployment

Connect an account and explore evaluation scenarios.

Lesson 12

Deploy a bot on your account

Learn how to connect an account and prepare a strategy for deployment.

Lesson 13

Run a prop firm simulation

Explore how a strategy performs against prop firm evaluation rules.

Build your first strategy

Describe your idea in chat, backtest it on real data and see how it holds up before it trades.

Trading involves substantial risk of loss. Backtest results are hypothetical and past performance does not indicate future results.