Štedorix unified dashboard interface showing multi-exchange portfolio data and predictive analytics

AI Data Intelligence Platform

One dashboard for every exchange, one model for every decision

Štedorix consolidates portfolio and market data from multiple exchanges into a single analytical view, then applies predictive modeling to surface risk-weighted recommendations you can verify before you act.

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Multi-exchangeUnified data feed, no manual reconciliation

Risk-weightedEvery recommendation shows its reasoning

Real-timeContinuous ingestion, not periodic reports

Data Integration

Fragmented accounts, connected into one analytical layer

Most portfolio holders track balances across several exchanges and wallets using spreadsheets or separate apps. Štedorix replaces that manual process with a single ingestion pipeline that normalizes formats, timestamps, and asset identifiers before any model runs.

1Centralized exchanges — read-only API keys pull balances, order history, and fee structures without withdrawal permissions.
2On-chain wallets — public address monitoring reconciles holdings that sit outside exchange custody.
3Market and macro feeds — volatility indices, liquidity depth, and correlation data provide context beyond raw price.
4Internal business data — for corporate accounts, treasury and cash-flow exports can be layered onto the same dashboard.

Exchange A Exchange B Wallet Market feed

↓ normalized & timestamped ↓

Unified Dashboard — single data model

↓ scored & ranked ↓

Predictive engine outputs risk-weighted recommendations with a visible reasoning trail.

Predictive Engine

Where the model reduces risk instead of just predicting price

The engine is built to support decisions, not replace judgment. It flags exposure concentration, models downside scenarios, and ranks alternatives by risk-weighted return rather than raw upside alone.

Exposure monitoring

Continuous tracking of position concentration across exchanges highlights when a portfolio drifts outside its stated risk tolerance.

Scenario modeling

Historical volatility patterns are applied to current holdings to estimate plausible drawdown ranges under different market conditions.

Recommendation transparency

Each suggestion is accompanied by the input factors and weighting that produced it, so the reasoning can be audited rather than trusted blindly.

24/7

Data ingestion and re-scoring run continuously rather than on a fixed reporting cycle, so recommendations reflect current market conditions rather than end-of-day snapshots.

Methodology

How a recommendation gets built, step by step

Rather than relying on testimonials, we document the process itself. Each stage below is auditable and produces an intermediate output you can inspect.

Step 1

Ingest & normalize

Raw data from each connected source is standardized into a common schema, removing duplicate or stale entries.

Step 2

Score risk factors

Volatility, liquidity, and correlation metrics are calculated per asset and combined into a composite risk score.

Step 3

Model outcomes

The predictive engine simulates a range of forward scenarios and ranks options by risk-weighted expected return.

Step 4

Surface with reasoning

The dashboard presents the top-ranked actions alongside the specific inputs that drove each ranking.

Security & compliance: exchange connections use read-only API scopes with no withdrawal authority. Data at rest is encrypted, and access logs are retained for review on request.

Applications

Built for two decision profiles, one data layer

Individual Investor

Consolidating a multi-exchange portfolio into one risk view

An investor holding positions across several exchanges typically loses time reconciling balances manually and rarely sees combined exposure in real time. Štedorix removes that step.

Single view of total exposure across all connected accounts
Alerts when concentration in one asset class exceeds a set threshold
Scenario comparisons before rebalancing, with visible assumptions

Connected exchanges4

Portfolio concentration flagHigh — BTC 61%

Suggested rebalance windowModel-ranked

Risk-weighted return estimateRange-based

Business & Treasury Teams

Turning fragmented operational data into structured strategy input

Businesses managing digital-asset treasury alongside conventional cash flow need a shared reference point for finance and leadership. The dashboard layers both data sets without forcing a single source system.

Combined liquidity view across treasury and operational accounts
Risk reporting formatted for internal or board-level review
Historical logs supporting audit and compliance documentation

Data sources mergedTreasury + market feed

Reporting cadenceContinuous

Access controlRole-based

Export formatStructured report

Štedorix analysts reviewing predictive modeling output on a unified dashboard

About the Platform

A tool for structured reasoning, not automated conviction

Štedorix was built on the premise that AI-generated recommendations are only useful when their logic is visible. Every score, flag, and ranking traces back to a documented input, so users can decide how much weight to give it rather than accepting it on faith.

Questions on reliability, privacy, and scope

How reliable are the AI-generated recommendations?

Recommendations are ranked probabilistically, not presented as certainties. Each output includes the risk factors and weighting used, so it can be reviewed against your own judgment rather than followed automatically.

What access does Štedorix require to my exchange accounts?

Connections use read-only API keys with no withdrawal or trading permissions. The platform can only read balances and transaction history, never move funds.

How is portfolio and business data stored and protected?

Data is encrypted at rest and in transit. Access is role-based, and activity logs are available on request for audit purposes.

Can the dashboard combine crypto holdings with traditional business data?

Yes. Treasury exports and operational cash-flow data can be layered alongside exchange and wallet feeds, giving finance teams one reference point instead of separate reports.

Does the platform provide investment advice?

No. Štedorix provides data analysis and risk-weighted modeling to support decisions. Final judgment and responsibility remain with the user or the business team involved.

What is required to get started?

You connect at least one exchange or data source through a read-only key, and the dashboard begins ingesting and normalizing data immediately. No trading permissions are ever requested.