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.
Connect venues
SourceRead market data and balances from authorised exchange accounts.
Normalise
ObservedReduce differing venue models to one comparable structure.
Compute all-in cost
EstimateApply fees, transfer costs and expected slippage.
Assess risk
AI-inferredScore the position on a published rubric.
Human authorisation
Human-verifiedAny 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.
Related applications
Teams using Crypto often want these too.
Quantis
Screen the market, and see the reasoning.
Capabilities
- Market Screening
- Evidence Trail
- Risk Scoring
- Agentic Investigation
PredictionAI
Compare the market's probability with your own.
Capabilities
- Probability Analysis
- Market Screening
- Evidence Trail
- Agentic Investigation
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.