Direct answer
Information about “Trend Strength” can be verified by using a consistent definition, reproducing the calculations from the published formula, and validating that the same inputs produce the same outputs. Because different sources may use different windows, smoothing, or scaling, verification should start by confirming what exactly is being measured and how it is computed. When you cannot reproduce the reported values using the stated method and assumptions, treat the claim as not verified.
Mechanism or definition
“Trend Strength” is not one single universal formula. In general technical analysis usage, it means a way to quantify how strongly price is moving in a particular direction relative to time and/or to recent variation. Verification is easiest when you can describe the measurement in mechanical terms, for example:
- Inputs: the price series used (e.g., closes), the time step, and the lookback window length.
- Transformation: how returns, changes, ranges, or deviations are computed.
- Aggregation: whether values are averaged, smoothed, normalized, or compared to a baseline.
- Output interpretation: whether higher values mean “stronger” in the same direction and what that direction refers to.
To keep stable mechanics separate from variable conditions, distinguish the definition and computation (stable) from the market data and execution environment (variable). The “stable” part is the math and assumptions; the “variable” part is which dataset you use and how costs, liquidity, and execution timing affect observed outcomes.
Evidence or example (reproducible checks)
Use a verification routine that does not rely on live prices:
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Lock the definition. Write down the exact formula you are trying to verify, including every parameter: lookback length, smoothing method, and any normalization. If a source omits parameters, you cannot fully verify.
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Lock the dataset. Choose a fixed historical price series from a single provider and record what series it is (for example, “closing prices” at a given bar interval). If two sources use different datasets, their results can differ even with the same formula.
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Recompute step-by-step. Calculate intermediate values exactly as defined (returns, deviations, or ranges—whichever the formula uses), then compute the final Trend Strength output.
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Compare outputs with a tolerance rule. Many calculations involve rounding or floating-point differences. Define an acceptable numerical tolerance (for example, “match within a small rounding error”). If outputs differ beyond the tolerance, the information is not verified.
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Sanity-check directionality. Confirm that the sign or directional mapping is consistent with the method’s description (e.g., whether the measure increases with stronger upward movement). Misinterpreting sign conventions is a common verification failure.
Limitations and risks (material failure modes)
At least one material limitation should be checked before trusting any Trend Strength claim:
- Parameter sensitivity: Changing the lookback window, smoothing, or normalization can change the ranking of “strong” vs “weak.” A result that looks stable under one parameter set may not remain stable under another.
- Data quality and alignment: Different sources may use different bar timestamps, missing data handling, or price definitions. Verification can fail if the dataset is not identical.
- Scaling and interpretation drift: If a source normalizes outputs differently (e.g., relative to volatility or range), comparing numeric values across sources may be misleading.
- Historical relationships do not establish future results: Even if a Trend Strength measure aligns with past behavior, that does not prove predictive accuracy.
- Costs and execution effects: Any implied performance relationship can vary with spread, commissions, and execution timing, which are outside the definition of the indicator itself.
Verification or next question
A practical next question is to ask: “What exact computation and inputs does the source use?” If the source cannot provide a complete formula and parameter list, treat Trend Strength information as only partially verifiable. Also verify robustness by repeating the same computation under clearly stated assumptions (such as alternative lookback lengths) and noting whether conclusions change. Finally, use verification to improve clarity about what is being measured—rather than to assume safety, certainty, or future outcomes.