Why I built a scanner that publishes its losing days

I’m Christian Piyatilaka. I build Tapeline on my own, from Melbourne, Australia. There is no team behind this and no outside investment — if something on this site is wrong, I am the person who got it wrong.

The scoring engine started in 2025 as a personal system, for me, and it still runs that way. Tapeline is that work opened up to other people in 2026. That order matters to how the product is built: it was a tool before it was a business, so the parts that are useful to somebody actually reading the output got attention long before the marketing did.

The two things that are usually hidden

When I was shopping for tools, the pattern was consistent enough to be funny. A scanner would tell me a stock scored 94 out of 100, and when I went looking for what produced the 94, I would find either nothing at all or a page describing a proprietary process in language carefully arranged to say very little. Then I would go looking for a record — any record — of how the tool’s output had done over time, and find a testimonial page.

Those two absences are related. If nobody can see the method and nobody can see the record, then the number is unfalsifiable, and an unfalsifiable number is a marketing asset rather than an analytical one. I did not want to buy that, and I am not going to sell it.

So: the method is named, and the record is published

All six factors are named, and each one has its own page explaining what it measures, how the reading is derived, what data feeds it, and where it falls down — Trend, Relative Strength, Fundamentals, Smart Money, Macro and Momentum. I publish which factors count for more than others. I do not publish the exact numeric weights or the equation, and I want to be straight about why rather than dress it up: that specific piece is the part a competitor could copy in an afternoon. You get the mechanism, the ordering, each factor’s contribution on every ticker, and the full record. You do not get the constants.

The record is the public scorecard. Every daily top-10 is written down and checked against what happened next, and the days that went nowhere are on the page in the same styling as the days that went well. Nothing is removed after the fact. When the method changes, the change is dated in the changelog and past entries stay as they were recorded.

What this is, and what it is not

Tapeline is descriptive analytics. It reads published data, applies the same six measurements to every US-listed ticker it covers, and shows you what those measurements came out as. It is a way to narrow a very long list down to something a person can actually look at.

It is not advice, and I am not a licensed adviser. It does not know anything about you — and by design it never will, because Tapeline does not ask for your portfolio, your capital, your experience or your goals in any form on this site. A score is not a recommendation, a six-factor screen is a blunt instrument compared with reading a company properly, and the honest list of what this product is bad at is on limitations. I would rather you read that page before you pay for anything.

If you find something wrong — a number that does not reconcile, a factor page that has drifted from what the product actually does, a scorecard entry that looks off — email support@tapeline.io. Corrections get logged in the changelog with a date, including the ones that are embarrassing.