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@railpath/finance-toolkit

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Production-ready finance library for portfolio construction, risk analytics, quantitative metrics, and ML-based regime detection

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.BollingerBandsOptionsSchema = void 0; const zod_1 = require("zod"); /** * Schema for Bollinger Bands calculation options */ exports.BollingerBandsOptionsSchema = zod_1.z.object({ /** * Array of price values (typically closing prices) */ prices: zod_1.z.array(zod_1.z.number()).min(1, 'Prices array must contain at least one value'), /** * Period for the moving average and standard deviation calculation * Must be positive and not exceed the length of prices array */ period: zod_1.z.number() .int('Period must be an integer') .positive('Period must be positive'), /** * Standard deviation multiplier (typically 2) * Must be positive */ stdDevMultiplier: zod_1.z.number() .positive('Standard deviation multiplier must be positive') .default(2) });