Exchange · Markets

Crypto

Cross-venue market intelligence, with the fees included.

Compare prices, spreads and risk across connected exchanges, with the real cost of a trade calculated rather than assumed.

What is Crypto?

A price difference between two venues is only an opportunity after fees, transfer costs and slippage. Crypto normalises market data across connected exchanges and computes the all-in cost behind an apparent spread, which is usually where the opportunity turns out to be smaller than it looked. It supports paper-trading workflows so a strategy can be examined before any money is committed.

Problems it solves

  • Compare prices and spreads across venues on one model
  • Compute the real cost of a trade rather than the headline spread
  • Examine a strategy on paper before committing funds
  • Monitor exposure across several exchange accounts
  • See when an apparent edge is smaller than its costs

Key capabilities

Market Screening
Filter a universe of instruments or lots down to those matching stated criteria.
All-In Cost Modelling
Compute the real landed cost behind a headline price — fees, premium, shipping, tax.
Risk Scoring
Score a change, a lot or a habitat on a published rubric you can read component by component.
Evidence Trail
Every figure carries the record it came from, so a reader can check the answer instead of trusting it.

How it is built

Venue normalisation
Different exchange models reduce to one comparable structure.
Cost-aware spread
Fees, transfer and slippage are part of the number, not a footnote.
Paper workflows
Examine a strategy without committing capital.

How it works

How the work is structured, and what each step's output rests on.

  1. Connect venues

    Source

    Read market data and balances from authorised exchange accounts.

  2. Normalise

    Observed

    Reduce differing venue models to one comparable structure.

  3. Compute all-in cost

    Estimate

    Apply fees, transfer costs and expected slippage.

  4. Assess risk

    AI-inferred

    Score the position on a published rubric.

  5. Human authorisation

    Human-verified

    Any execution is a human decision.

Example use cases

Each example has its own page you can read and share.

Crypto

Compare venues once fees are counted

Normalise prices across exchanges and compute the all-in cost behind an apparent spread.

4 minute walkthrough

  • Market Screening
  • All-In Cost Modelling
  • Evidence Trail

Crypto

Read exposure across connected venues

See total exposure and concentration across exchange accounts on one rubric.

3 minute walkthrough

  • Risk Scoring
  • Cross-Source Intelligence
  • Evidence Trail

Crypto

Examine a strategy before committing funds

Run a strategy on paper with real cost assumptions applied, and see how it would have behaved.

4 minute walkthrough

  • All-In Cost Modelling
  • Market Screening
  • Evidence Trail

Ask Crypto

Illustrative examples. Results depend on your own data.

  • “Where is the spread on this pair after fees?”
  • “What is my exposure across all connected venues?”
  • “Model this strategy on paper for the last quarter.”
  • “Which venue is cheapest to exit on right now?”

Security, governance and human control

Where the software deliberately limits itself.

Governance

  • Execution requires human authorisation
  • Cost models shown, not hidden in a score

Questions

Does it execute trades on its own?
No. Execution requires human authorisation.
Is this financial advice?
No. It is market-analysis software and does not know your circumstances.

Teams using Crypto often want these too.

Auction

Know the all-in cost before you bid.

Capabilities

  • Comparable Valuation
  • All-In Cost Modelling
  • Market Screening
  • Deterministic Policy Engine

Start with Crypto

Exchange is one of 9 categories, each its own subscription; Clearception One includes them all.