What counts as “entry rules” (and what doesn’t)
Entry rules are the predefined criteria that describe when a trader would place an order. They are usually written as conditional statements that connect observable conditions (for example, price relative to a level) to an action (for example, order placement). Entry rules are not the same as outcomes, because outcomes depend on market movement, execution quality, and costs.
To verify information about entry rules, first separate stable mechanics from variable context:
- Stable mechanics: the logical structure of the rules (conditions, decision order, and calculation definitions).
- Variable context: market state, bid/ask spread, slippage, commissions, and platform or jurisdiction rules.
Source hierarchy for verifiable entry-rule information
Use a simple hierarchy that makes what can be checked clear:
- Official documentation for the execution environment: platform rules, order types, and how fills are computed. This helps verify how your stated entry logic would translate into real orders.
- Regulatory or supervisory material relevant to the trading environment: these sources help confirm broad constraints (for example, risk disclosures or reporting obligations) without assuming future performance.
- Primary definitions from credible references: glossary-style explanations and methodological descriptions of conditional decision rules.
- Secondary commentary: treat as interpretation. You can verify whether the interpretation matches the underlying mechanics, but you should not treat it as authoritative.
Because no real-time market data is assumed here, focus on logic and calculation definitions rather than live prices.
Reproducible verification steps (with assumptions)
Follow a repeatable checklist so that verification does not rely on “trust.”
1) Rewrite the entry rules into a decision procedure
Convert the description into an explicit sequence:
- Inputs: which observable variables are used (levels, timestamps, indicators, order state).
- Condition checks: which condition must be true first.
- Order definition: what order is placed when conditions match.
- Calculations: how levels like stop distance or take-profit targets are computed.
If the source does not state inputs and calculations, you cannot fully verify it.
2) State assumptions for any numeric example
If an example uses numbers, list assumptions such as:
- whether a level is based on bid, ask, or mid,
- whether rounding follows a specified tick size or contract rule,
- whether costs include commission only or also financing/spread.
Historical relationships do not establish future results, so use numeric examples only to verify that the procedure is internally consistent.
3) Check rounding and execution mapping
Many “verification gaps” come from mismatches between written rules and execution mechanics. Verify:
- the exact order parameters produced by the rule,
- how rounding changes entry triggers,
- whether the rule assumes immediate fills or ignores partial fills.
Even without live data, you can detect logical errors by simulating the decision procedure on paper with clearly stated inputs.
4) Re-run edge cases (material failure modes)
Test at least one scenario where the rule could fail or behave differently than expected, such as:
- the condition is exactly on a boundary (equal vs greater-than),
- the required input is missing or arrives late,
- spread widens and changes the practical trigger.
A material limitation is that execution quality and costs can change the realized entry price, even if the trigger condition is correct.
Limitations and risks of “verifying” entry rules
Information can be verified in two different senses: logical correctness and real-world realizability.
- Logical correctness: the rule is unambiguous and internally consistent.
- Real-world realizability: the environment actually executes as assumed.
Key limitations:
- Outcomes vary with market conditions, costs, execution, and jurisdiction.
- Historical relationships do not establish future results.
- Provider and platform differences can alter how orders are triggered, filled, or rounded.
Verification checklist you can reuse
- Is the decision procedure explicit (inputs, order of checks, and exact calculations)?
- Are all numeric examples tied to stated assumptions (tick size, bid/ask basis, rounding, costs)?
- Have you tested at least one edge case and one failure mode?
- Does the execution environment documentation match the rule’s implied behavior?
- If a source claim depends on live or future conditions, can you separate that from stable mechanics?
If you can answer these questions consistently, you can accurately explain entry rules and independently verify the relevant facts without relying on predictions or guaranteed outcomes.