NxJumps breaks down what's happening across your portfolio holdings, personalized to what you actually own, so you always know what it means for you.
No jargon. No advice. Just clarity.
You own the holdings. You read the headlines. You still aren't sure what any of it means for your money. Most investors spend more time gathering information than understanding it — the sources conflict, the jargon piles up, and nothing you read is actually about your portfolio.
NxJumps filters and ranks everything against your portfolio, your goals, and your risk tolerance. NxJay reads the news, data, and market moves for you and explains what they mean in plain language — the why behind a change, not just the what, and only for the holdings that matter to you.
Price action, sentiment, sector flows, and primary-source filings — all timestamped against the moment the signal triggered.
Not a wall of headlines. A structured read of what's actually moving the tape, with weights you can audit.
Not predictions. Pre-defined events and levels that will either confirm or break the current read — surfaced before they happen.
The noise stays out. What's relevant stays in. NxJumps weighs each signal against your real positions, your concentration, and your stated goals — and surfaces only what changes your view.
Data-center growth guided to 28% vs. 32% consensus. Three positions you hold have direct read-through: AVGO, AMD, TSM.
Bounced cleanly off the 50-day SMA on rising volume. Read-through case is intact for Friday's print.
NxJay is your research assistant. Ask why something moved, what a filing means, or how it relates to what you own. You get a sourced, plain-language explanation — educational, never pushy. NxJay explains what it means, not what you should do.
Three things explain the gap — and none of them are about the broader index.
This is a concentration tail, not a thesis break. Historically, post-guidance dips in this name have recovered within 18 sessions when the data-center growth rate stayed above 25% — which it did.
AI-generated analysis — not professional financial advice.
Every screen is built to increase understanding and reduce noise. If something is uncertain or probabilistic, we say so. Below is a sample of how NxJumps sorts a normal session — separating noise from movement, and movement from yours.
See how every stock has historically performed across months, weeks, and market cycles. Identify the seasonal trades that hit again and again — and the ones to step around.
Explore patternsRevenue, earnings, margins, and the lines that actually matter — pulled from every filing, normalized across companies, and explained in plain English. No spreadsheets. No 10-K archaeology.
View financialsWhat used to take a Bloomberg terminal, three analysts, and a spreadsheet — now lives in one fast, focused app.
NxJumps surfaces evidence, context, and historical pattern matches. Every decision — and its consequences — stays with you. No jargon, no advice, no black-box scores. Just a clearer view of what your investments are doing and why.
NxJumps surfaces evidence, context, and historical pattern matches. Every decision — and its consequences — stays with you.
Every signal traces back to the news item, filing, or price action that triggered it. No black-box scores. No anonymous calls.
Holdings are encrypted at rest and never sold, shared, or used to train models. Read-only sync, revocable any time.
When the signal is mixed, NxJay says so. When historical patterns disagree, we show the disagreement. The market is not a calculator.
The market doesn't owe anyone certainty. The least we can do is be honest about what we know, and when.
A live, editorially-reviewed library of AI-generated research notes — so you can see exactly the kind of insight NxJumps produces, across every sector.
Model signals indicate tighter spread dispersion after management guidance emphasized improved refinancing flexibility.
Cross-region inflation expectation spreads widened, with model outputs flagging higher FX sensitivity.
NLP tagging across earnings call transcripts points to a moderation in cost optimization language.
How we think about AI-assisted research, what's working in the wild, and the engineering trade-offs behind a faster newsroom.
A practical framework for combining model outputs with human review and CMS controls.
Read articleMetadata fields like sourceTopic, qualityScore, and review status improve editorial confidence.
Read articleNo jargon, no advice — just a clearer view of what your investments are doing and why. Sign up for free and see the difference on day one.