Crypto demo
Compare venues once fees are counted
Normalise prices across exchanges and compute the all-in cost behind an apparent spread.
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.
Normalise venues
ObservedReduce differing exchange models to one comparable structure.
Apply real costs
EstimateAdd fees, transfer cost and expected slippage.
Report survivors
EstimateShow what remains after costs, and what does not.
What you get
The shape of what comes back — not a promised result.
Cost-adjusted comparison
EstimateVenue 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.
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Want to try this with your own work?
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