Mandate breach
Where the portfolio has crossed a limit the advisor set — surfaces first, every time.
Investor Insights
Every mandate breach, behavior pattern, stress read, and concentration risk in a client's portfolio, ranked into one ordered feed — each card tied to the client's own trades, not a generic score.
Every card in the feed belongs to one of eight categories, surfaced in a fixed priority order, and every card is built from the client's own numbers — not a generic score.
Where the portfolio has crossed a limit the advisor set — surfaces first, every time.
What a genuinely rough month could do to this specific book.
A repeating pattern in how this client actually trades.
A hidden single-bet or a cluster of positions that behave like one.
A holding the model currently rates weak.
Room to improve that isn't urgent enough to be a warning.
An evidence-backed habit that's actually working, not just the problems.
A short, targeted lesson tied to whatever just fired.
Mandate breaches lead every time; everything else falls in behind them by severity, then by how confident the read is.
A concentration card names the actual pair of positions. A behavior card points to the client's own fastest-sold winner or longest-held loser — never a generic example.
Every card carries a blunt, quantified line for the advisor and a gentler one for the client — the same evidence, two ways of saying it. Roughly seven in ten signals also carry a real cost estimate; the rest are detected and cited without one.
Not a bias score. The client's own trade, the client's own number, the client's own limit.
Every mandate limit is a number the advisor set. Every behavioral signal traces to a named academic study. And nothing fires until there is enough evidence behind it.
A cap on how much of the book one name can carry.
The same cap, applied to a sector instead of a single name.
A trailing comfort limit on how far the portfolio has fallen from its peak.
A trigger on realized losses over the trailing month, as a share of the portfolio.
Set to the client's own stated trading style — long-term, balanced, active, or trader — not one number applied to everyone.
How much of the portfolio has been traded, not just how many trades were placed.
Flags a pattern of buying more of a position that is already underwater.
Every one of these is an explicit number the advisor sets for that client. None of them move on their own, and none are inferred from a risk-tolerance label — what counts as a breach is never ambiguous.
The behavior category covers 21 named, evidence-tied patterns — not personality labels, observable trading behavior: selling winners too early while holding losers too long, trading more after early success, averaging down into a losing position, panic-selling into a loss, doubling exposure right after a big win, chasing a stock because it just hit a new high, anchoring a decision to a position's own breakeven price, buying into newly-listed stocks in their first days of trading, letting a stale rebalancing plan drift, and under-diversifying into a handful of lottery-like single-name bets, among others. Every signal that fires carries a real academic citation, shown to the advisor as a "Research-backed" badge — not a footnote, a live attribution.
The system is built to say "not enough evidence yet" rather than guess — and that rule is enforced in more than one place, not left to a single check that could quietly be skipped.
Stress testing blends a library of real, calibrated past market shocks replayed against the client's actual current holdings with a forward-looking simulation for value-at-risk-style figures — and a reliability check that downgrades confidence rather than presenting a stressed number as certain. Concentration reads use a pairwise statistical correlation across the client's own holdings, surfacing the single most concentrated pair of positions and any same-sector holdings that behave like one bet despite looking diversified.
The system is designed to run out of confidence before it runs out of nerve.
A single client record, read start to finish, the way an advisor actually uses it.
An advisor opens one client's feed and the mandate breach leads — the single-stock limit is over, ranked above everything else. Behavior comes next: a pattern of adding to a loser, tied to a citation, not a guess. A glance at the day-by-day view shows exactly which trading day drove it, and drilling in surfaces the client's own trade — the actual ticker, the actual date, the actual cost. The advisor closes the read knowing exactly what to raise, and how to say it.
The same feed also powers a gated, client-facing view in a gentler register — the mandate breach becomes a plain observation, the behavior pattern becomes a coaching moment, never the advisor's blunt framing. One engine, two voices.
The feed doesn't end in a chart. It ends in the next sentence the advisor says.
Investor Insights is one application on FinCore's shared governance foundation — not a bolted-on analytics tool with its own rules.
Every institutional workspace on FinCore has its own operating boundary, a deliberately small three-role model, and an audit trail that treats every important change as reviewable evidence. Investor Insights inherits all of it.
Nothing here runs outside the control plane. This is what that looks like for one application.
Short, specific answers — the same understated register as the rest of this platform.
Below a minimum evidence floor, a signal simply doesn't fire — no claim is made off one or two trades. Between that floor and full confidence, the claim is shown at a dampened, not-quite-certain level. On a very short overall history, every signal on that ledger is held to its lowest confidence tier.
No. Investor Insights works from the account and portfolio data an institution already holds, and masks customer names and identifiers by default everywhere the feed surfaces them. Advisors see behavior and risk signal, not exposed identity, unless a workflow specifically requires it.
Same engine, different register. A client sees a gentler, plain-language read of the same signals — a mandate breach becomes an observation, a behavior pattern becomes a coaching moment — while the advisor sees the blunt, quantified version.
Not from Investor Insights directly — that's what Broker Report is for, drawing on the same governed client data. The feed is built to be read live and acted on, not archived as a static document.
Yes — the feed itself is fully rendered and cached in both languages, with the same depth in each. This document's interface is translated; its longer analysis is being brought to Turkish next.
Request a walkthrough focused on your mandate model, your client population, and what a first week on Investor Insights would look like.