Build vs buy

Build your own trading model, or call one?

Q: Why not train my own trading model?

You can. The question is whether it is worth the data pipeline, factor engineering, retraining, and the burden of proving the record yourself. You don't train your own GPT to use language; calling a maintained model is often the better trade.

Q: What does AlgoVault provide that a DIY model doesn't?

A maintained composite verdict across venues, plus an on-chain-verifiable track record you did not have to build. AlgoVault is infrastructure you call, not a trading desk or a backtester; you keep your strategy, execution, and risk.

Q: What does build versus buy cost?

Building costs data, engineering, compute, and ongoing maintenance, plus the work of proving the record. Buying is a free tier with usage-based paid plans and per-call micropayments. The verdict arrives in one MCP call.

Q: How do I verify the bought model's track record?

Every call is hashed on Base L2 before its outcome is known. Recompute any call's hash and check it on-chain at algovault.com/verify; the live win rate is at algovault.com/track-record. You verify the record instead of taking it on trust.

You don't train your own GPT to use language. Why train your own trading model? AlgoVault is the Trading Model API: one call returns a composite verdict — direction, confidence, regime — with a 91.6% PFE win rate over 233,000 on-chain-verified calls. Buy the verdict; keep your strategy.

Scope: AlgoVault is infrastructure you call, not a trading desk or a backtester. You buy access to a maintained, verifiable model the way you call an LLM API.

Build vs buy, line by line

	Build your own model	Call AlgoVault
Upfront work	Data, factors, training, infra	One MCP call
Maintenance	Retraining, monitoring, drift	Maintained for you
Coverage	What you build	5 perp venues, broad asset set
Track record	You must prove it	Published, on-chain-verifiable
Cost	Engineering plus compute	Free tier plus usage-based

Which should you choose?

Best to build: funds with a quant team and a proprietary edge they must own end to end.

Best to buy: builders who want a maintained, verifiable verdict to call, without running a model.

Alpha decay applies to single discrete strategies, not to a continuous multi-factor verdict updating across a broad asset set. Selling access also strengthens the model: like an LLM's API traffic, every call adds to the outcome dataset.

How do you verify the bought model?

Every call is hashed and published on Base L2 before its outcome is known. Recompute any call's hash and check it at /verify; the live win rate is at /track-record. You verify, not trust.

FAQ

Why not train my own trading model?

You can — but weigh the data pipeline, factor engineering, retraining, and proving the record yourself.

What does AlgoVault provide that a DIY model doesn't?

A maintained cross-venue verdict and an on-chain-verifiable record you did not have to build.

What does build versus buy cost?

Building costs engineering and compute; buying is a free tier with usage-based paid plans.

How do I verify the bought model's track record?

Check any call on-chain at /verify; the live win rate is at /track-record.

Verify it yourself

See the live track record, verify any call on-chain at /verify, or read how it works. Built by AlgoVault Labs.

Call the model free — 100 calls/month → See how the model works →

This is call interpretation, not investment advice; agents decide execution.