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finmagic

v1.0.4

Published

A TypeScript library for essential financial, technical, and statistical calculations.

Downloads

507

Readme

💰 finmagic

A TypeScript library for essential financial, technical, and statistical calculations. Designed for Node.js and browser environments, finmagic provides fast and reliable methods for traders, analysts, and developers.

npm version npm license npm downloads npm bundle size

Features

  • Price calculations:
    • percentChange(current: number, previous: number): number
    • dailyReturn(current: number, previous: number): number
    • cumulativeReturn(returns: number[]): number
  • Moving averages:
    • SMA(values: number[], period: number): number
    • EMA(values: number[], period: number): number
  • Financial calculations:
    • PV(futureValue: number, rate: number, periods: number): number
    • FV(presentValue: number, rate: number, periods: number): number
    • NPV(rate: number, cashFlows: number[]): number
    • IRR(cashFlows: number[], guess?: number): number
  • Financial ratios:
    • PE(price: number, earnings: number): number
    • PB(price: number, bookValue: number): number
    • DividendYield(dividend: number, price: number): number
    • Beta(portfolioReturn: number, marketReturn: number): number
    • Alpha(expectedReturn: number, actualReturn: number): number
    • Sharpe(returns: number[]): number
  • Risk management:
    • volatility(returns: number[]): number
    • positionSizing(capital: number, risk: number, stopLossPoints: number): number
    • stopLoss(entryPrice: number, percent: number): number
    • takeProfit(entryPrice: number, percent: number): number
  • Volume indicators:
    • VWAP(prices: number[], volumes: number[]): number
    • accumulationDistribution(close: number[], open: number[], volume: number[]): number
  • Statistical functions:
    • covariance(a: number[], b: number[]): number
    • correlation(a: number[], b: number[]): number

Installation

npm install finmagic

Usage

import { SMA, PV, Sharpe } from 'finmagic';

const prices = [10, 12, 11, 13, 15];
const average = SMA(prices, 5);

const presentValue = PV(1000, 0.05, 3);

const returns = [0.01, 0.02, 0.03];
const sharpeRatio = Sharpe(returns);

Contributing

Contributions, bug reports, and feature requests are welcome. Please submit via GitHub issues or pull requests.