Fin is Fincanva's AI assistant, and Fin is its only name. Today Fin does one job: it proposes screener filters — either improving a screener you have already built, or building one from your current universe — and shows you the proposal side by side with your own before anything changes. Nothing Fin suggests is applied until you choose to apply it.
What can Fin do today?
Two actions, both on a screener's Backtest view:
- Improve filters takes the screener you have and looks for a stronger version of it. It needs something to work from, so it stays disabled until the screener has at least one filter: "Add at least one filter first — there's nothing to improve yet."
- Suggest new filters starts from your universe instead of your filters — the asset type you have active and the universe filters set on it — so it is available even on an empty screener. Fincanva also offers it from a never-run screener's empty state, as "let Fin suggest a stronger one".
While Fin works, the app says what it is doing — "Fin is improving your screener…" or "Fin is building a screener…", with "Fin is testing thousands of filter combinations against market history to find a stronger setup." and a progress reading. You can cancel; your screener is untouched either way.
What does Fin's suggestion review show?
When Fin finishes, a review opens titled "Fin's suggestion is ready", with two columns — Your screener and Fin's suggestion — so you can compare them row by row. Each filter row in the suggestion is tagged Kept, Added, Modified, or Removed against your original, so you can see exactly what Fin changed rather than just the outcome.
The review reports the suggestion's edge as an average, captioned "Avg annualized outperformance vs benchmark, across all six horizons", and carries its own disclaimer: "Backtested result — past performance doesn't guarantee future returns." From there you choose: Use these filters puts the suggestion into your editor as unsaved changes, Save as new screener keeps your original and saves the suggestion separately, and Discard leaves everything as it was.
Fin can also come back with nothing. When it cannot beat what you built, the review reads "This is already a strong screener" and "Fin tested thousands of filter combinations against market history and couldn't improve on it." If the search itself fails, it reads "Fin couldn't finish" and "The search couldn't complete. Your screener is unchanged — try again."
A suggestion from Fin is a filter set that tested well on historical data, not a recommendation to invest. Fincanva provides no financial advice — see Is this financial advice?.
Is there a Fin chat you can ask questions?
Not today. The conversational Fin — a panel you open and ask questions in — is not available yet; where its surface would appear the app says "Fin is coming soon." Fin's only working capability right now is the screener suggestion described above.
Defaults in Fincanva
- Fin never edits a screener on its own. Every suggestion goes through the review, and applying one arrives as unsaved changes you still have to save.
- Improve filters requires at least one filter; Suggest new filters does not.
- "Save as new screener" creates a separate screener, so accepting a suggestion never overwrites the one you built.
- A failed or cancelled run leaves your screener exactly as it was.
Worked example
You have a screener with four fundamental filters that matches about 80 instruments, and you want to know whether it can be sharpened. You select Improve filters. Fin runs, reporting "Fin is improving your screener…" with a progress reading, and comes back with "Fin's suggestion is ready".
In the review, two of your filters are tagged Kept, one is Modified with a tighter threshold, one is Removed, and a new one is Added — five rows, so you can see the shape of the change and not just its score. You decide you want to keep your original as a reference, so you choose Save as new screener. You now have both screeners in your library and can back-test each one and compare the matches yourself.
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Fincanva provides no financial advice. Backtests show what would have happened — not what will.
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