AI Agent
Build strategies whose registered decisions are committed before outcomes and anchored on Robinhood Chain.
verifiable trading intelligence / beta 0.1.29
The verifiable agent layer for performance-driven trading.
01 — Verity Loom operating records
Every registered decision is committed before the outcome and anchored on Robinhood Chain. Inspect the record before you trust the result.
Showing 001 of 003 — AI Agent.
Build strategies whose registered decisions are committed before outcomes and anchored on Robinhood Chain.
Access eligible signal streams with forward evidence, drawdowns, costs, version history and registered failures in view.
Prove discipline against real market data, conservative paper execution and published performance and risk rules.
The problem
Look-ahead bias, survivorship and self-reported dashboards leave users with claims instead of proof.
Look-ahead bias and curve-fit backtests can manufacture impressive returns.
Only the winners stay visible while failed strategies disappear.
Editable dashboards and screenshots leave users with claims instead of proof.
03 — Verity Loom ecosystem
One verifiable agent layer for research, strategies and controlled execution.
Showing 01 of 04 — Agent.
01 / 04
Ask better questions. Turn a hunch into a testable brief, with context and constraints preserved.
Explore Agent02 / 04
Frame the landscape without losing the thread. Bring the same evidence standard to market context.
Explore Markets03 / 04
Put process before position size. Review the conditions that make an idea ready for controlled execution.
Explore Prop04 / 04
The connective tissue for evidence. Carry a clean record from research to the moment of action.
Explore Layer04 — the evidence standard
Six principles keep every decision legible, from first question to final review.
Showing 01 of 06 — Tamper-evident records.
01 / 06
Registered decisions are sealed before outcomes and anchored on Robinhood Chain, creating verifiable proof of what was recorded and when.
02 / 06
Wins, losses, rejected strategies and decisions not to trade remain part of the same forward record.
03 / 06
Backtests stay separate. Strategies are measured against real market data, costs and execution constraints.
04 / 06
Core logic can remain private while versions, decisions and performance evidence stay provable.
05 / 06
Rules are set before evaluation and applied consistently to strategies, traders and AI agents.
06 / 06
Users retain custody and authorize every execution. Signals never move capital on their own.
05 — product preview / Verity Loom Agent
Verity Loom Agent beta brings research, strategy testing and evidence into one desktop workspace.
macOS beta build · .dmgWindows beta coming soon
What changed since the last review?
agent / context passVerity Loom Agent is the verifiable agent layer for performance-driven trading research, strategy validation and controlled execution.
It proves that a decision was committed before the outcome and that the registered record can be checked after the fact. It does not prove a decision was right or profitable.
Rejected strategies and decisions not to trade remain part of the record so the history cannot be edited into only the wins.
Verity Loom Prop is a qualification path for proving discipline against real market data, conservative paper execution and published risk rules.
No. Verification and qualification describe the record and the process. They do not guarantee returns, funding or future performance.
PRODUCT PREVIEW / 00:42
This original CSS demonstration illustrates the record workflow. It does not show returns or execute trades.
Download for macOS