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F-160 is presented by Kestrel Quant as a named execution-layer risk rule for its autonomous crypto-trading system—not as an established industry standard. A related post describes it as a deterministic fallback for manual positions and maximum-leverage caps. The available description does not establish the rule’s full specification, its exceptions, or how it separates permissions, so those details cannot be stated as facts.
What F-160 refers to
Kestrel Quant’s DEV Community profile describes its author as building an autonomous AI crypto-trading engine, and the F-160 post is categorized under algorithmic trading, crypto, and AI. The title’s phrase “iron law” should be understood as the author’s label for a system rule, not a recognized external standard. Source
What the author has said about the rule
In a separate post, Kestrel Quant writes: “We always enforce hard-coded, deterministic fallback risk limits (like our F-160 iron law for manual positions and hard max-leverage caps) at the execution layer.” This characterizes F-160 as a deterministic execution-layer fallback associated with manual positions and leverage limits. It is the author’s description of their system, not independent validation of the implementation or its effectiveness. Related post
What remains unspecified
The full F-160 article’s body is not available in the retrieved material, so the precise rule and permission model cannot be verified. The available description does not say which actions AI or a human may initiate, who can approve or override an action, what exceptions apply, or how the system behaves if AI output is malformed or unavailable. Those details should not be inferred from the title alone. Article listing
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The same author’s related post discusses F-072, a different mechanism. Its examples and measurements do not establish F-160’s behavior or performance. No F-160-specific published measurement is available in the cited material. Related post Article listing
How to evaluate a permission rule like this
For a system implementing a similar safeguard, useful questions include:
- Which actions are permitted to the AI, to a human operator, or to both?
- Who can approve, reject, or override an action, and are those permissions enforced separately from the AI’s output?
- At what point in execution are limits checked?
- Do deterministic limits still apply when the AI response is malformed, missing, or inconsistent?
- What exceptions exist, and how are they recorded?
These are evaluation questions, not confirmed features of F-160.
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