Diversification Check
Confirms whether holdings across crypto, equities, and forex are actually uncorrelated, or only appear that way when viewed separately.
| Metric | Signal |
|---|---|
| Cross-asset correlation | Flagged |
| Single-driver exposure | Monitor |
Data Intelligence Platform
LyganiusisAI pulls positions, balances, and order data from connected exchanges and brokers into a single feed, then runs predictive models against the combined dataset to flag risk before it compounds.
Preview: a live position ledger, cross-asset correlation matrix, and a risk score that updates as source data changes.
Connected Sources
All feeds are normalized into one schema before any model runs against them.
Unified Intelligence
Investors running several income streams typically check four or five separate platforms before making a single decision. LyganiusisAI removes that step by pulling positions, balances, and trade history from each connected exchange into one normalized dataset.
The result is a single view of total exposure rather than a set of disconnected tabs. Concentration risk and overlapping positions become visible immediately, not after a drawdown has already occurred.
Predictive Edge
Each model runs against your unified dataset, not an isolated snapshot from one exchange. Outputs are ranked and scored, not delivered as blanket buy or sell calls.
01
Weighs momentum and volatility across connected assets to rank near-term directional bias.
Score: 0–10002
Flags concentration when multiple streams move on the same underlying driver.
Per asset class03
Tracks how holdings on different exchanges move relative to one another over time.
Rolling window04
Triggers when a position, drawdown, or correlation metric crosses a limit you define.
User-set limitsMethodology
The pipeline is the same regardless of which exchanges you connect. Every dataset passes through four stages before it reaches your dashboard.
Step 1
Read-only API connections pull trade, balance, and order data from each linked exchange on a scheduled cycle.
Step 2
Data formats, asset labels, and timestamps are mapped to a common schema so accounts can be compared directly.
Step 3
Trend, correlation, and exposure models run against the combined dataset, not against isolated exchange feeds.
Step 4
Scores, alerts, and the unified ledger are pushed to your dashboard and, where configured, to your API endpoint.
Use Cases
Three situations where a unified view changes the decision, not just the reporting.
Confirms whether holdings across crypto, equities, and forex are actually uncorrelated, or only appear that way when viewed separately.
| Metric | Signal |
|---|---|
| Cross-asset correlation | Flagged |
| Single-driver exposure | Monitor |
Identifies which connected stream is carrying disproportionate weight before adding new capital to it.
| Metric | Signal |
|---|---|
| Stream concentration | Flagged |
| Rebalance candidate | Clear |
Surfaces which open positions on different exchanges would move together in a shared drawdown scenario.
| Metric | Signal |
|---|---|
| Drawdown overlap | Monitor |
| Hedge ratio | Clear |
FAQ
There is no fixed cap on connections. Practical limits depend on the API rate limits set by each exchange, which vary by provider.
No. Read-only keys are sufficient for data ingestion, scoring, and alerts. Trading permissions are never required to use the dashboard.
Refresh cycles run on a fixed schedule per exchange, based on that exchange's API rate limits. Balances and open positions update on each cycle.
Yes. The unified dataset is available through the dashboard and, for connected accounts, through the REST API.
No. LyganiusisAI analyzes data and surfaces scores and alerts. Execution decisions remain with you.
Trading and investment decisions carry risk regardless of the data behind them. Read the full risk disclosure before connecting live accounts.
Setup takes a few minutes. A read-only API key is enough to generate your first unified view.