[4w3]

Neat project with a nice minimal aesthetic and fast performance. Thanks for sharing.

But the repo does not seem to have the shell scripts.[1] What is the statistical definition of a strong stock?

And which chapter or part of the book specifically inspired you? At first glance, it seemed like a long winded personal memoir of trading and would rather just read the essential parts.

[1] https://github.com/weeklycharts/charts

[nano17c]

>Neat project with a nice minimal aesthetic and fast performance. Thanks for sharing.

Thanks!

>But the repo does not seem to have the shell scripts.

I will put up the code after this "Show HN". Actually, I do not know which license to use. Or what the implication in the future.

>What is the statistical definition of a strong stock?

The statistical definition of strong stock is percentage of rate of change of the stock closing price.

> And which chapter or part of the book specifically inspired you?

Chapter 4: "Developing the Box Theory". Mr Darvas finally found a trading method that work and made him money. A lot of traders were not able to reach this stage.

[4w3]

Thanks for your reply.

> Actually, I do not know which license to use. Or what the implication in the future.

GPL should be fine. You can always change the license for later versions.

How do you overcome subjectivity in identifying the box? Do you interpret price action differently based on environmental factors? Is there a risk of identifying a false breakout of the box?

[nano17c]

> GPL should be fine. You can always change the license for later versions.

The license will be GPL then. Thanks!

> How do you overcome subjectivity in identifying the box?

Risk management.

> Do you interpret price action differently based on environmental factors?

No.

> Is there a risk of identifying a false breakout of the box?

Yes. That where risk management come to rescue.