341 lines
10 KiB
Svelte
341 lines
10 KiB
Svelte
<script lang="ts">
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import {
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failToDeliverComponent,
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displayCompanyName,
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stockTicker,
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assetType,
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etfTicker,
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screenWidth,
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getCache,
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setCache,
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} from "$lib/store";
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import InfoModal from "$lib/components/InfoModal.svelte";
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import { Chart } from "svelte-echarts";
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import { abbreviateNumber, formatDateRange, monthNames } from "$lib/utils";
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import { init, use } from "echarts/core";
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import { LineChart } from "echarts/charts";
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import { GridComponent, TooltipComponent } from "echarts/components";
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import { CanvasRenderer } from "echarts/renderers";
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export let data;
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use([LineChart, GridComponent, TooltipComponent, CanvasRenderer]);
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let isLoaded = false;
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let rawData = [];
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let optionsData;
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let avgFailToDeliver;
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let lowestPrice;
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let highestPrice;
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let weightedFTD;
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function findLowestAndHighestPrice(data, lastDateStr) {
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const lastDate = new Date(lastDateStr);
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const firstDate = new Date(lastDate.getFullYear(), lastDate.getMonth(), 1);
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const filteredData = data?.filter((item) => {
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const currentDate = new Date(item?.date);
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return currentDate >= firstDate && currentDate <= lastDate;
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});
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let prices = filteredData?.map((item) => parseFloat(item.price));
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lowestPrice = Math.min(...prices);
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highestPrice = Math.max(...prices);
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}
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function getPlotOptions() {
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let dates = [];
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let priceList = [];
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let failToDeliverList = [];
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rawData?.forEach((item) => {
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dates?.push(item?.date);
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priceList?.push(item?.price);
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failToDeliverList?.push(item?.failToDeliver);
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});
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findLowestAndHighestPrice(rawData, rawData?.slice(-1)?.at(0)?.date);
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const totalNumber = failToDeliverList?.reduce((acc, item) => acc + item, 0);
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avgFailToDeliver = (totalNumber / failToDeliverList?.length)?.toFixed(0);
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const option = {
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silent: true,
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tooltip: {
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trigger: "axis",
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hideDelay: 100,
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},
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animation: false,
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grid: {
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left: "3%",
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right: "3%",
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bottom: "2%",
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top: "5%",
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containLabel: true,
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},
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xAxis: {
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type: "category",
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boundaryGap: false,
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data: dates,
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axisLabel: {
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color: "#fff",
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formatter: function (value) {
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const dateParts = value.split("-");
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const day = dateParts[2].substring(0);
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const monthIndex = parseInt(dateParts[1]) - 1;
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return `${day} ${monthNames[monthIndex]}`;
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},
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},
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},
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yAxis: [
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{
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type: "value",
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splitLine: {
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show: false,
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},
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axisLabel: {
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show: false,
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},
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},
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{
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type: "value",
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splitLine: {
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show: false,
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},
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position: "right",
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axisLabel: {
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show: false,
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},
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},
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],
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series: [
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{
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name: "Price",
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data: priceList,
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type: "line",
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itemStyle: {
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color: "#fff",
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},
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showSymbol: false,
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},
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{
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name: "FTD Shares",
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data: failToDeliverList,
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type: "line",
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areaStyle: { opacity: 1 },
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yAxisIndex: 1,
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itemStyle: {
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color: "#E11D48",
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},
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showSymbol: false,
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},
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],
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};
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return option;
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}
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const getFailToDeliver = async (ticker) => {
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const cachedData = getCache(ticker, "getFailToDeliver");
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if (cachedData) {
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rawData = cachedData;
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} else {
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const postData = { ticker: ticker, path: "fail-to-deliver" };
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const response = await fetch("/api/ticker-data", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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},
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body: JSON.stringify(postData),
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});
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rawData = await response.json();
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setCache(ticker, rawData, "getFailToDeliver");
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}
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failToDeliverComponent.set(rawData?.length !== 0);
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};
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$: {
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const ticker = $assetType === "stock" ? $stockTicker : $etfTicker;
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if (ticker && typeof window !== "undefined") {
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isLoaded = false;
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Promise.all([getFailToDeliver(ticker)])
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.then(() => {
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if (rawData?.length !== 0) {
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weightedFTD = (
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(rawData?.slice(-1)?.at(0)?.failToDeliver /
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data?.getStockQuote?.avgVolume) *
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100
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)?.toFixed(2);
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optionsData = getPlotOptions();
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}
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})
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.catch((error) => {
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console.error("An error occurred:", error);
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});
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isLoaded = true;
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}
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}
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</script>
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<section class="overflow-hidden text-white h-full pb-8">
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<main class="overflow-hidden">
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<div class="flex flex-row items-center">
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<label
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for="failToDeliverInfo"
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class="mr-1 cursor-pointer flex flex-row items-center text-white text-xl sm:text-3xl font-bold"
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>
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Fail to Deliver
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</label>
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<InfoModal
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title={"Fail to Deliver"}
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content={"Failure to deliver in the stock market occurs when a seller does not deliver securities to the buyer within the settlement period. Naked shorts contribute to this by selling shares not owned or borrowed, potentially distorting market dynamics and regulations."}
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id={"failToDeliverInfo"}
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/>
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</div>
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{#if isLoaded}
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{#if rawData?.length !== 0}
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<div class="w-full flex flex-col items-start">
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<div class="text-white text-[1rem] mt-2 mb-2 w-full">
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Over the past year, {$displayCompanyName} has seen a monthly average
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of
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<span class="font-semibold"
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>{abbreviateNumber(avgFailToDeliver)}</span
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> fail to deliver shares.
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</div>
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</div>
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<div class="pb-2 rounded-md bg-[#09090B]">
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<div class="app w-full h-[300px] mt-5">
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<Chart {init} options={optionsData} class="chart" />
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</div>
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</div>
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<div
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class="flex flex-row items-center justify-between mx-auto mt-5 w-full sm:w-11/12"
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>
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<div
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class="mt-3.5 sm:mt-0 flex flex-col sm:flex-row items-center ml-3 sm:ml-0 w-1/2 justify-center"
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>
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<div
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class="h-full transform -translate-x-1/2"
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aria-hidden="true"
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></div>
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<div
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class="w-3 h-3 bg-[#fff] border-4 box-content border-[#27272A] rounded-full transform sm:-translate-x-1/2"
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aria-hidden="true"
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></div>
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<span
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class="mt-2 sm:mt-0 text-white text-center sm:text-start text-xs sm:text-md inline-block"
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>
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Price
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</span>
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</div>
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<div
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class="flex flex-col sm:flex-row items-center ml-3 sm:ml-0 w-1/2 justify-center"
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>
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<div
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class="h-full transform -translate-x-1/2"
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aria-hidden="true"
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></div>
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<div
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class="w-3 h-3 bg-[#E11D48] border-4 box-content border-[#27272A] rounded-full transform sm:-translate-x-1/2"
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aria-hidden="true"
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></div>
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<span
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class="mt-2 sm:mt-0 text-white text-xs sm:text-md sm:font-medium inline-block"
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>
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Share Quantity
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</span>
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</div>
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</div>
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<h2
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class="mt-10 mr-1 flex flex-row items-center text-white text-xl sm:text-2xl font-bold mb-3"
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>
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Latest Information
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</h2>
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<div class="flex justify-start items-center w-full m-auto">
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<table class="w-full" data-test="statistics-table">
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<tbody>
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<tr class="border-y border-gray-800 odd:bg-[#27272A]">
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<td class="px-[5px] py-1.5 xs:px-2.5 xs:py-2">
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<span>Date</span>
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</td>
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<td
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class="px-[5px] py-1.5 text-right whitespace-nowrap font-medium xs:px-2.5 xs:py-2"
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>
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{formatDateRange(rawData?.slice(-1)?.at(0)?.date)}
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</td>
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</tr>
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<tr class="border-y border-gray-800 odd:bg-[#27272A]">
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<td class="px-[5px] py-1.5 xs:px-2.5 xs:py-2">
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<span>Price Range</span>
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</td>
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<td
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class="px-[5px] py-1.5 text-right font-medium xs:px-2.5 xs:py-2"
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>
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{lowestPrice + "-" + highestPrice}
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</td>
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</tr>
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<tr class="border-y border-gray-800 odd:bg-[#27272A]">
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<td class="px-[5px] py-1.5 xs:px-2.5 xs:py-2">
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<span>Latest FTD</span>
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</td>
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<td
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class="px-[5px] py-1.5 text-right font-medium xs:px-2.5 xs:py-2"
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>
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{abbreviateNumber(rawData?.slice(-1)?.at(0)?.failToDeliver)}
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</td>
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</tr>
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</tbody>
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</table>
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</div>
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<div class="w-full flex flex-col items-start mt-3">
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<div class="text-white text-[1rem] mt-2 mb-2 w-full">
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Using the latest FTD data, we divide it with the monthly average
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volume to determine that
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<strong
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>{weightedFTD < 0.01 ? "less than < 0.01" : weightedFTD}%</strong
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> of shares failed to deliver.
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</div>
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</div>
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{/if}
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{:else}
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<div class="flex justify-center items-center h-80">
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<div class="relative">
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<label
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class="bg-[#09090B] rounded-xl h-14 w-14 flex justify-center items-center absolute top-1/2 left-1/2 transform -translate-x-1/2 -translate-y-1/2"
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>
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<span class="loading loading-spinner loading-md text-gray-400"
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></span>
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</label>
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</div>
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</div>
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{/if}
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</main>
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</section>
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<style>
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.app {
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height: 300px;
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max-width: 100%; /* Ensure chart width doesn't exceed the container */
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}
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@media (max-width: 640px) {
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.app {
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height: 210px;
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}
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}
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.chart {
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width: 100%;
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}
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</style>
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