Subject
Every alert names what it's actually about — a position, a sector tilt, a correlation pair — not a generic risk warning.
Portfolio Intelligence
Verdicts on the book you already run — backed by real computed evidence across correlation, asset flow, stress, and bias — not a black-box score or a flat list of warnings.
This cockpit was rebuilt after an earlier version was described internally as veneer — it looked complete, but the numbers behind the verdicts weren't real. Every verdict reason here is backed by actual share-of-signal math.
Every alert names what it's actually about — a position, a sector tilt, a correlation pair — not a generic risk warning.
Open any alert and see the real data behind the verdict — the computed numbers themselves, not a description of them.
Narrow the feed by subject, severity, or app — a busy morning shouldn't mean forty alerts read one at a time.
Related alerts group together, so three symptoms of the same underlying shift read as one story, not three unrelated lines.
Every alert links straight into the underlying data — the position, the correlation matrix, the flow series — no separate lookup required.
Verdict reasons are computed as an actual share of the signal driving them, not assembled from a canned sentence.
Every verdict reason is a real share-of-signal number you can open and check, not a sentence that sounds plausible.
Related alerts surface as one cluster, so the cockpit reads like a story instead of a stack of unrelated lines.
Deep-links take you straight to the position, the matrix, or the series behind the alert — no separate lookup.
A verdict without an evidence drawer is just an opinion with a timestamp.
Correlation structure, asset-flow patterns, stress exposure, and behavioral bias — each distilled into its own card, each backed by real computed evidence, not a single number standing in for all four.
How the book's positions actually move together right now — not an assumed diversification, a computed one.
Where money is actually moving inside the book and around it, read from real flow data.
What happens to the book under a real stress scenario, not a generic risk label.
The same computed bias signals the platform's behavior engine already tracks, surfaced at the portfolio level.
Concentration, flow, stress, and behavior each get their own card because they call for different responses.
The bias card draws on the same behavior engine used elsewhere on the platform — not a separate, simplified model.
Each card opens into the same evidence-drawer detail as the cockpit's alerts.
Four honest numbers beat one confident-sounding one.
A thesis-tracking view structured around four gates, with bridges into the platform's strategy-building tools the moment a verdict says something needs to change.
Every position or portfolio thesis is tracked against four gates, not a single conviction rating. When a verdict from the cockpit suggests something has changed, the workbench bridges straight into the platform's strategy-building tools — and the propose-from-cockpit loop turns "here's a problem" into a concrete next step, instead of a dead end.
This is the consumption half of the platform's decision spine — Quant Lab is where a strategy gets built and validated; the workbench is where you track whether the thesis behind a position in your book is still holding, and where a verdict turns into an actual next step.
A problem surfaced without a next step is just a notification.
Performance compares against the total-return BIST100 — dividends included, not just the price index — alongside a Sharpe ratio and TLREF as the reference funding rate.
The price index alone understates a long-horizon comparison — dividends compound. Switching the benchmark to total return closes that gap and gives an honest answer to "has this portfolio actually beaten the market."
A price index doesn't pay dividends. Ours does.
Short, specific answers — the same understated register as the rest of this platform.
No — every verdict reason is a real share-of-signal number, and the evidence drawer shows you the exact computation behind it. You can open it and check the number yourself; nothing is asserted without something to point at.
Quant Lab is where a strategy gets built and validated — the construction side. Portfolio Intelligence is the monitoring side: once a strategy or a position is actually in the book, this is where you watch how it's doing and get told when something changes. They're two halves of the same decision spine, not competing tools.
The evidence drawer is exactly where you check that — the real number is right there, so you can judge for yourself whether the alert holds up. Filtering lets you deprioritize a class of alert once you've decided it isn't useful for your book.
No, and that's worth saying plainly: an earlier version had the structure of a cockpit but not the computation behind it — verdict reasons weren't backed by real numbers. It was rebuilt specifically to fix that, the same way other parts of this platform have been rebuilt when they were found to be underbuilt.
Because dividends compound, and a price-only index quietly understates any long-horizon comparison. Switching to total-return BIST100 gives an honest answer to whether a portfolio actually beat the market, not a flattering one.
Request a walkthrough focused on your book, your alert history, and what a first verdict would actually show in week one.