Binance - Portfolio Distribution Pie Chart

adds a simple visual representation of portfolio distribution (USD) on "balance" and "deposits & withdrawals" pages

您需要先安裝使用者腳本管理器擴展,如 TampermonkeyGreasemonkeyViolentmonkey 之後才能安裝該腳本。

You will need to install an extension such as Tampermonkey to install this script.

您需要先安裝使用者腳本管理器擴充功能,如 TampermonkeyViolentmonkey 後才能安裝該腳本。

您需要先安裝使用者腳本管理器擴充功能,如 TampermonkeyUserscripts 後才能安裝該腳本。

你需要先安裝一款使用者腳本管理器擴展,比如 Tampermonkey,才能安裝此腳本

您需要先安裝使用者腳本管理器擴充功能後才能安裝該腳本。

(我已經安裝了使用者腳本管理器,讓我安裝!)

你需要先安裝一款使用者樣式管理器擴展,比如 Stylus,才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展,比如 Stylus,才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展,比如 Stylus,才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

你需要先安裝一款使用者樣式管理器擴展後才能安裝此樣式

(我已經安裝了使用者樣式管理器,讓我安裝!)

// ==UserScript==
// @name         Binance - Portfolio Distribution Pie Chart
// @namespace    https://zachhardesty.com
// @author       Zach Hardesty <[email protected]> (https://github.com/zachhardesty7)
// @description  adds a simple visual representation of portfolio distribution (USD) on "balance" and "deposits & withdrawals" pages
// @copyright    2019-2024, Zach Hardesty (https://zachhardesty.com/)
// @license      GPL-3.0-only; http://www.gnu.org/licenses/gpl-3.0.txt
// @version      1.1.4

// @homepageURL  https://github.com/zachhardesty7/tamper-monkey-scripts-collection/raw/master/binance-portfolio-distribution-chart.user.js
// @homepage     https://github.com/zachhardesty7/tamper-monkey-scripts-collection/raw/master/binance-portfolio-distribution-chart.user.js
// @homepageURL  https://openuserjs.org/scripts/zachhardesty7/Binance_-_Portfolio_Distribution_Pie_Chart
// @homepage     https://openuserjs.org/scripts/zachhardesty7/Binance_-_Portfolio_Distribution_Pie_Chart
// @supportURL   https://github.com/zachhardesty7/tamper-monkey-scripts-collection/issues


// @match        https://www.binance.com/userCenter/balances/*
// @match        https://www.binance.com/userCenter/depositWithdraw/*
// @require      https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.min.js
// @require      https://greasyfork.org/scripts/419640-onelementready/code/onElementReady.js?version=887637
// ==/UserScript==

/* global onElementReady */

const chartColors = {
  red: "rgb(255, 99, 132)",
  orange: "rgb(255, 159, 64)",
  yellow: "rgb(255, 205, 86)",
  green: "rgb(75, 192, 192)",
  blue: "rgb(54, 162, 235)",
  grey: "rgb(201, 203, 207)",
  purple: "rgb(153, 102, 255)",
  teal: "#59d2fe",
}

const chartConfig = {
  type: "pie",
  data: {
    datasets: [
      {
        data: [],
        backgroundColor: [],
        label: "Dataset 1",
      },
    ],
    labels: [],
  },
  options: {
    responsive: false,
    layout: {
      padding: {
        left: 0,
        right: 0,
        top: 0,
        bottom: 20,
      },
    },
    title: {
      display: true,
      text: "Portfolio Distribution",
    },
  },
}

/**
 * finds key with max val in object
 *
 * @param {{}} obj - arbitrary obj
 * @returns {string} matching key
 */
function getMaxInObject(obj) {
  let maxKey = ""
  let maxVal = 0
  for (const key of Object.keys(obj)) {
    if (obj[key] > maxVal) {
      maxVal = obj[key]
      maxKey = key
    }
  }

  return maxKey
}

// begin program once data has loaded
onElementReady("span.btn.btn-deposit.ng-binding.ng-scope", { findOnce: true }, () => {
  // build canvas el
  const page = document.querySelector(".chargeWithdraw-title")
  const canvas = document.createElement("canvas")
  canvas.id = "zh-chart"
  canvas.height = 250
  canvas.width = 250
  canvas.setAttribute(
    "style",
    "height: 250px; width: 250px; display: block; float: right",
  )

  // insert canvas and capture el
  page.append(canvas)
  const ctx = /** @type {HTMLCanvasElement} */ (
    document.querySelector("#zh-chart")
  ).getContext("2d")

  // scrape value of portfolio data in BTC
  const portfolioRawData = document.querySelectorAll(".td.ng-scope")
  const portfolio = {}
  for (const el of portfolioRawData) {
    const name = el.firstElementChild.children[0].textContent.replaceAll(/\s/g, "")
    const val = Number.parseFloat(
      el.firstElementChild.children[5].firstChild.textContent,
    )
    if (val !== 0) {
      portfolio[name] = val
    }
  }

  // get cur BTC to USD conversion rate
  fetch("https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD")
    .then((response) => response.json())
    .then((data) => {
      // capture 6 largest assets for pie chart
      for (let i = 0; i < 6; i += 1) {
        const maxName = getMaxInObject(portfolio)
        const maxVal = (portfolio[maxName] * data.USD).toFixed(2)
        chartConfig.data.datasets[0].data.push(maxVal)
        chartConfig.data.labels.push(maxName)
        delete portfolio[maxName]
      }

      // accumulate remaining assets for "other" category of pie chart
      let otherCryptosVal = 0
      for (const tickerVal of Object.values(portfolio)) {
        otherCryptosVal += tickerVal
      }

      // update chart data with other category
      chartConfig.data.datasets[0].data.push((otherCryptosVal * data.USD).toFixed(2))
      chartConfig.data.labels.push("other")

      // randomize color order and update config
      const keys = Object.keys(chartColors)
      keys.sort(() => Math.random() - 0.5)
      for (let i = 0; i < chartConfig.data.datasets[0].data.length; i += 1) {
        chartConfig.data.datasets[0].backgroundColor.push(keys[i])
      }

      // generate pie chart
      // @ts-ignore
      window.myPie = new /** @type {any} */ (window).Chart(ctx, chartConfig)

      return null
    })
    .catch((error) => {
      console.log(error)
    })
})