unvitsgarz dashboard concept showing unified market data used for AI-driven analysis

One dashboard, every exchange: AI analysis for people who can't watch the markets all day

unvitsgarz pulls your holdings and order data from multiple exchanges into a single view, then applies predictive models that run continuously in the background, so you are not left refreshing tabs to work out what changed and why.

Unified oversight, without the manual spreadsheet work

Most side-hustle investors hold positions across two or three exchanges and track them by hand. unvitsgarz replaces that routine with one connected view and a model that is always analysing in the background.

A single dashboard across exchanges

Connect read-only API access from your exchanges and unvitsgarz consolidates balances, open positions and recent activity into one screen. You see your full exposure in one place instead of switching between separate apps to piece it together.

  • Supports major UK-accessible exchanges via standard API keys
  • Read-only connections by default — no withdrawal permissions required
  • Updated continuously, not on a fixed daily refresh
01

Passive data analysis, explained plainly

"Passive" here means the analysis runs without you initiating it each time, not that outcomes are guaranteed. Once connected, unvitsgarz ingests market data on a rolling basis and scores conditions against the predictive models described in the next section, flagging notable shifts for your review.

  • You set the parameters; the system monitors against them
  • Notifications highlight changes worth your attention, rather than every tick
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Built for people with a day job

unvitsgarz is designed for individuals who are managing investments alongside full-time work, not full-time traders. The interface favours clarity over density: fewer charts, clearer labelling, and summaries written in plain English wherever the underlying data allows it.

Where technical terms are unavoidable — volatility, drawdown, correlation — we define them in context rather than assuming prior knowledge.

unvitsgarz team approach to building an accessible analysis platform

How the predictive models actually work

Understanding the mechanics builds reasonable trust. Here is the workflow in four stages, described without unnecessary jargon.

1

Data ingestion

Price, volume and order-book data are pulled from each connected exchange at short, regular intervals and normalised into a common format.

2

Pattern analysis

Statistical and machine-learning models compare current conditions against historical patterns to estimate the probability of various near-term outcomes.

3

Risk scoring

Each signal is weighted against volatility and liquidity measures, so a statistically interesting pattern in a thin, illiquid market is treated with appropriate caution.

4

Recommendation output

Results are translated into a plain-language summary and a confidence indicator, delivered to your dashboard rather than acted on automatically.

These are decision-support outputs, not instructions. unvitsgarz does not place trades on your behalf; every model output is presented for you to review before you act on it.

Data integrity checked on every ingestion cycle

Where this fits a side-hustle investor's week

Two common situations illustrate the difference between manual tracking and a unified, model-assisted view.

Managing positions across three exchanges

An investor holding assets on three separate platforms previously checked each one individually most evenings. With a consolidated dashboard, the same review happens in one sitting, with changes in exposure or correlation surfaced automatically rather than discovered by comparison.

ApproachTypical weekly effort
Manual, exchange by exchangeSeveral short checks daily, each one separate
Unified dashboard with alertsBrief daily glance, deeper review when flagged

A small trading strategy run alongside employment

A part-time strategist running a modest allocation needs to know when conditions shift outside their comfort range, without constant monitoring. Threshold-based alerts mean attention is drawn only when the risk score crosses a level they have set themselves.

  • Fewer interruptions during working hours
  • Decisions based on consolidated data, not partial snapshots
  • A written rationale accompanies each flagged recommendation

Risk mitigation: what the platform does and does not do

Precision in language matters here, so the following section uses specific terms and explains each one.

Volatility analysis

The platform measures recent price dispersion for each held asset and compares it with its own historical range. A rising volatility reading does not mean "sell" — it means the asset is currently behaving less predictably than usual, which is useful context before any decision.

Automated hedging suggestions

Where correlated risk is detected across your holdings — for example, several assets that tend to move together — unvitsgarz can suggest offsetting positions that would reduce combined exposure. These are suggestions for you to execute manually; the platform does not place hedges on its own.

Safety protocols

API connections default to read-only permissions, data is encrypted in transit and at rest, and you can revoke exchange access at any time from your account settings without contacting support.

Questions before you start

A short set of answers covering the points people most often ask about before connecting an exchange.

Is the earning described here actually passive?

The analysis runs continuously without you needing to trigger it, which is the sense in which it is passive. However, unvitsgarz does not execute trades automatically and does not promise any particular return. Acting on recommendations still requires your decision and, in most cases, your manual confirmation on the exchange itself.

Which exchanges can I connect?

unvitsgarz supports major exchanges that are accessible to UK users and offer standard read-only API access. The connection list is maintained in your account settings, since exchange APIs change periodically.

Can unvitsgarz move or withdraw my funds?

No. Default connections are read-only. Trading or withdrawal permissions are never required to use the analysis and dashboard features.

How much time does setup take?

Connecting an exchange typically involves generating a read-only API key on the exchange's own site and pasting it into unvitsgarz. Most people connect their first exchange in a few minutes, though it depends on the exchange's own verification steps.

What happens if a model's confidence is low?

Low-confidence outputs are labelled as such rather than hidden, so you can judge how much weight to give them. The platform is built to show its uncertainty, not to smooth it over.

Have a different question? Contact support →

Start your analysis with your own data

Connect a read-only exchange account and see your consolidated dashboard before deciding whether to add others. No trading permissions are requested at any stage.

Start your analysis