- Run a second build independently (without step-by-step guidance)
- Make a small modification to see how settings affect results
- Compare results between your first and second builds
- Gain confidence in the basic GSB workflow
Video coming soon
Andrew will record this lesson video
Why Build Again?
In the real world, you'll run many builds—not just one. Each build explores different possibilities. By running a second build now, you'll:
- Practice the workflow independently
- See how GSB's genetic algorithm produces different results each time
- Build confidence before your trial period continues
Your Task: Run Another Build
This time, I'm not going to give you step-by-step instructions. You know how to:
- Open a project (or keep the sample project loaded)
- Click the Build button
- Wait for results
- Evaluate the equity curves and stats
Do that now. Run another build on the same sample project.
Even with the same data and settings, GSB will produce different resultseach build. The genetic algorithm uses randomness in its search, so it explores different parts of the solution space each time.
This is by design. Running multiple builds increases your chances of finding excellent systems.
Optional: Make a Small Change
If you want to experiment, try making one small change before building again. For example:
- Change the random seed (if visible in settings) — Forces different random paths
- Adjust the number of generations — More generations = longer search, potentially better results
- Modify population size — More candidates = broader search per generation
Don't feel obligated to change anything. Running the same settings twice and comparing results is valuable learning too.
Don't get attached to any single build. The power of GSB comes from running many builds and selecting the best candidates. Think of each build as casting a net—sometimes you catch more fish, sometimes fewer.
Compare Your Results
After your second build completes, compare the results:
- Did you find any systems with better equity curves than before?
- Are the top systems similar or completely different?
- What's the best profit-to-drawdown ratio you've seen so far?
This comparison is the start of the system selection process. In later lessons (and with the full license), you'll learn more advanced techniques for filtering and validating systems.