Chart mistakes that change the story—and how to catch them
Audit your headline, scale, denominator, comparison window, color choices, and final export against the evidence actually displayed.
Read the guideTen complete guides to reading charts, explaining numbers, and publishing visuals with their context intact. Clear examples. Real calculations. No invented market results.
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Audit your headline, scale, denominator, comparison window, color choices, and final export against the evidence actually displayed.
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Pair visual clarity with useful descriptions, readable tables, keyboard controls, and exports that keep essential information intact.
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Match visual structure to the reading task, compare the same data in different formats, and avoid misleading connections or baselines.
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Build a focused visual argument with a defensible headline, compatible chart, precise annotation, and context that survives the export.
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Use worked examples to distinguish financial measures and create comparisons that preserve their units, denominators, and limitations.
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Read activity units, compare completed intervals, calculate a baseline, and avoid turning a tall volume bar into an unsupported story.
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Give overlays, volume, and momentum measures separate jobs, document the settings, and keep historical summaries distinct from forecasts.
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Work through a five-session simple moving average, warm-up values, smoothing, lag, and the settings a useful legend should preserve.
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Reconstruct open, high, low, and close, understand fill conventions, and distinguish a descriptive candle pattern from a prediction.
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Learn a repeatable approach to chart identity, intervals, scales, price changes, and the difference between a visible pattern and an explanation.
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