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World desk4 min

Decision Trace Logging: Keep False Results and Missing Evidence Apart

A trace must distinguish a Boolean check that returned false from an observation that was never recorded. Learn the validation and evidence practices that preserve that distinction.
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If a trading-engine dashboard says WAIT, a trace should show whether the spread check ran and returned false or whether no spread observation was recorded at all. Those are different facts: one is a negative result; the other is missing evidence.

What does false mean in a decision trace?

In this example’s contract, false means the Boolean check ran and its condition was not met. A missing spreadAllowed key means the observation was not recorded. A trace that treats both cases alike cannot tell an investigator whether the engine evaluated the spread condition or lacked the input.

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null is invalid under this narrow contract. It is neither a negative result nor an acceptable substitute for a missing key. If a production system needs to represent an unavailable observation, define that state explicitly and record a reason—for example, distinguish “not received” from “measurement invalid”—rather than quietly overloading a Boolean.

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Trace value Meaning in this contract How to handle it
true or false A Boolean observation was recorded; false means the check evaluated negatively. Accept only when the key is present and its value has Boolean type.
Key absent No observation was recorded. Reject the trace as incomplete when the feature is required.
null Invalid in this contract; it does not explain why a value is unavailable. Reject it, or define a separate explicit unavailable status and reason if the system supports that case.

How should a validator preserve false?

Do not use a truthiness check such as if (!value) to validate a required Boolean. That condition is true both when the value is false and when it is absent or otherwise falsy, so it can discard a legitimate negative result. Check the key’s presence and then its type.

A compact JavaScript pattern for a trace whose features object must own both required keys is:

function hasOwn(object, key) {
  return Object.prototype.hasOwnProperty.call(object, key);
}

function isNonEmptyString(value) {
  return typeof value === "string" && value.trim().length > 0;
}

function validateTrace(trace) {
  if (!trace || typeof trace !== "object") return false;

  if (!isNonEmptyString(trace.decisionId) ||
      !isNonEmptyString(trace.sourceEventId) ||
      !isNonEmptyString(trace.codeVersion) ||
      !isNonEmptyString(trace.configurationVersion)) {
    return false;
  }

  if (!trace.features || typeof trace.features !== "object") return false;

  for (const key of ["sessionOpen", "spreadAllowed"]) {
    if (!hasOwn(trace.features, key) ||
        typeof trace.features[key] !== "boolean") {
      return false;
    }
  }

  return true;
}

The validator requires non-empty decision ID, source-event ID, code-version string, and configuration-version string. It also requires a features object with own sessionOpen and spreadAllowed properties whose values are Booleans. The ownership check prevents an inherited property from being mistaken for an observation in the trace itself.

This is an example contract, not a complete schema for every system. In production, define the expected shape and any allowed unavailable states explicitly; do not let a permissive parser silently convert absent, null, or malformed values into false.

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What evidence makes a trace useful later?

Record the input snapshot at decision time

Capture the decision’s input snapshot when the decision is made. Reconstructing it later from a current chart or revised data feed can produce values that no longer describe what the engine saw at the time. The trace should preserve the actual observations associated with that decision, including whether each required observation was present.

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Keep version references and underlying evidence distinct

A code-version or configuration-version string is a reference, not proof. A string alone does not establish that the referenced build exists, that its contents match the label, or that the named configuration was actually running. An investigation system needs a way to resolve those references to retained build and configuration evidence.

Do not overwrite the decision with later events

Keep the decision, submitted order request, and observed fill as separate records linked by identifiers. They represent different events. Replacing a decision status with an order or fill status erases the sequence investigators need to understand what happened.

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How can you check the trace contract?

Use a small set of cases to verify that validation distinguishes false from missing. The reported example tests cover acceptance of false and rejection of an omitted feature, null, and an empty configuration version; the article author reports that four tests passed locally. This result applies only to the example validator, not to a trading strategy, broker integration, or production trace pipeline. Arnold Holm’s article describes the example and its limits.

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  1. Remove a required feature, such as spreadAllowed, and confirm the validator rejects the trace as incomplete.
  2. Restore the feature with the value false and confirm it is accepted and preserved as false.
  3. Set the feature to null and confirm the example contract rejects it.
  4. Empty the configuration-version string and confirm the required non-empty reference check fails.
  5. Change the configuration reference and check whether the investigation tools display the changed version and can resolve it to the relevant evidence.

These are suggested checks for the example contract, not a claim that the procedure was independently run. For JavaScript projects, Node.js’s v26.10.0 test-runner documentation describes the built-in node:test module and marks the runner stable; that tooling documentation does not verify this validator or any production system.

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