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| const PRIOR_ALPHA = 1; |
| const PRIOR_BETA = 1; |
| const NEUTRAL_PRIOR = 0.5; |
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|
| export function baseRateProbability(series, spec, _options = {}) { |
| const values = (Array.isArray(series) ? series : []) |
| .map(Number) |
| .filter((v) => Number.isFinite(v)); |
| const baseline = Number(spec?.baselineValue ?? values[values.length - 1]); |
| const threshold = Number(spec?.threshold); |
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| if (!Number.isFinite(threshold) || !Number.isFinite(baseline)) { |
| return { probability: NEUTRAL_PRIOR, method: 'prior', n: 0, crossed: 0 }; |
| } |
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| |
| const requiredDelta = threshold - baseline; |
| const wantDown = requiredDelta < 0; |
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| |
| const deltas = []; |
| for (let i = 1; i < values.length; i += 1) deltas.push(values[i] - values[i - 1]); |
|
|
| if (deltas.length === 0) { |
| |
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| return { probability: 0.4, method: 'prior_directional', n: 0, crossed: 0 }; |
| } |
|
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| let crossed = 0; |
| for (const delta of deltas) { |
| if (wantDown) { |
| if (delta <= requiredDelta) crossed += 1; |
| } else { |
| if (delta >= requiredDelta) crossed += 1; |
| } |
| } |
|
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| const smoothed = (crossed + PRIOR_ALPHA) / (deltas.length + PRIOR_ALPHA + PRIOR_BETA); |
| return { |
| probability: round(clamp01(smoothed)), |
| method: 'empirical_move_frequency', |
| n: deltas.length, |
| crossed, |
| }; |
| } |
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| function clamp01(value) { |
| return Math.max(0, Math.min(1, value)); |
| } |
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| function round(value) { |
| if (!Number.isFinite(value)) return value; |
| return Math.round(value * 1_000_000) / 1_000_000; |
| } |
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