Crypto demo

Compare venues once fees are counted

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

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4 minute walkthrough

The challenge

A spread between two venues looks like an opportunity until fees, transfers and slippage are counted.

The scenario

A trader sees a price difference across two connected exchanges and needs to know whether anything survives the costs.

What goes in

Connected venues
Market data and balances from authorised exchange accounts.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

  • Where is the spread on this pair after fees?
  • Which venue is cheapest to exit on?
  • How much does transfer cost eat here?

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

  1. Normalise venues

    Observed

    Reduce differing exchange models to one comparable structure.

  2. Apply real costs

    Estimate

    Add fees, transfer cost and expected slippage.

  3. Report survivors

    Estimate

    Show what remains after costs, and what does not.

What you get

The shape of what comes back — not a promised result.

  • Cost-adjusted comparison

    Estimate

    Venue prices with the all-in cost applied and shown.

Why it matters

Fewer false edges
Opportunities that costs erase are filtered early.
Costs made explicit
The maths is visible rather than embedded in a score.

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

Want to try this with your own work?

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