Commodity-linked currencies take a hit as the iron ore slumps further and oil falls, although NZD pushes higher against the AUD

Short headline: 
Weighed down by stigma

By Kymberly Martin

“Commodity-linked” currencies were the worst performers on Friday, with the CAD and AUD almost tied for last position.

Commodities were once again under pressure on Friday night. The WTI oil price fell 5%, while the broader global CRB index was off almost 2%.

Unsurprisingly, this took a toll on the likes of the CAD and NOK. The CAD weakened 1% relative to the USD, with USD/CAD ending the week at 1.2610.

The AUD also bore the brunt of the latest slump in iron ore prices. The widely watched China average (62% fines) import price fell 4%.The AUD/USD ended the week at 0.7750.

Elsewhere the USD made late evening gains but gave these up by the close of trading. Despite a lengthy and detailed speech (see Interest Rates) from Fed Chair Yellen in the early hours of Sat morning (NZT) it did not garner much response from the currency. The USD index ended the week at 97.40.

The EUR/USD made a couple of attempts to break higher early on Sat morning. One attempt briefly punctured 1.0940, but later faded. The common currency slipped back to end the week at 1.0890.

The NZD was also weighed down by its stigma as a “commodity-linked” currency, weakening against many of its peers on Friday. The NZD/USD ended the week at 0.7570.

The notable exception was the NZD/AUD which rose from late evening lows around 0.9690 to end the week at 0.9760. This places the cross just short of its Monday highs of 0.9785, though a more sombre mood on Kiwi vs Aussie may prevail this morning.

Domestically it is a quite start to the week, with the data highlight not due until tomorrow, in the form of the ANZ business confidence survey.

Near-term there is a band of support for the NZD/USD at 0.7500 while resistance is eyed approaching last week’s highs close to 0.7700.

 


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Daily exchange rates

//var root_url=”http://www.interest.co.nz/”
var root_url=”http://www.interest.co.nz/charts-csv/” // left untouched for now
var tabs_count=”7″;
var csvfiles_loc= [“/charts-csv/chart_data/exchangerates/daily-usd.csv”,” /charts-csv/chart_data/exchangerates/daily-aud.csv”,” /charts-csv/chart_data/exchangerates/daily-twi.csv”,” /charts-csv/chart_data/exchangerates/daily-yen.csv”,” /charts-csv/chart_data/exchangerates/daily-yuan.csv”,” /charts-csv/chart_data/exchangerates/daily-eur.csv”,” /charts-csv/chart_data/exchangerates/daily-gbp.csv”];
var chart_title_arr= [“US dollar”,”Australian dollar”,”Trade weighted index”,”Japanese Yen”,”Chinese Yuan”,”Euro”,”British pound”];
var chart_subtitles_arr= [“Daily benchmark rate”,”Daily benchmark rate”,”Daily benchmark rate”,”Daily benchmark rate”,”Daily benchmark rate”,”Daily benchmark rate”,”Daily benchmark rate”];
var tab_titles_arr= [“US$”,”AU$”,”TWI”,”u00a5en”,”u00a5uan”,”u20acuro”,”GBP”];
var source_arr= [“RBNZ”,”RBNZ”,”RBNZ”,”RBNZ”,”RBNZ”,”RBNZ”,”RBNZ”];
var source_hyperlink_arr= [“http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”,”http://www.rbnz.govt.nz”];
var tabswidth=”8″;
var decimal_arr= [“4″,”4″,”4″,”2″,”2″,”4″,”4”];

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var padding_value=0;
var range_selector=0
var loc;
var updt;
var val_num;
var vi=0;
var max_val;
var x;

var finalAr = new Array();
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var flagAr = new Array();
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var yaxisAr = new Array();
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// to generate the format for date representation in x axis

var timestamweek = 604800000;
var timestamday = 86400000;
var timestammonth30 = 2592000000;
var timestammonth31 = 2678400000;
var timestamyear = 31536000000;
var timestamquarterly = 7776000000;

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var yy1=fomat.substring(k2+1,k3+1);

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//+++++++++++++++++++++++++++++++++++
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mm= "03";
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mm= "04";
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mm= "09";
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mm= "11";
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var timestam2 = Date.parse(date2);
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fomat= String(arr[i][0]);
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do {
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var k3=k;

var dd= fomat.substring(0,k1);
var mm = fomat.substring(k1+1,k2);
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var c_year=Number(current_year.substring(2,4));
var c_data=Number(''+fomat.substring(k2+1,k3+1));
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var yy = “19”+fomat.substring(k2+1,k3+1);
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{
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mm= “02”;
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mm= “03”;
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{
mm= “04”;
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mm= “05”;
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else if (mm == “Jun”)
{
mm= “06”;
}

else if (mm == “Jul”)
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mm= “07”;
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mm= “08”;
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else if (mm == “Sep”)
{
mm= “09”;
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else if (mm == “Oct”)
{
mm= “10”;
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else if (mm == “Nov”)
{
mm= “11”;
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mm= “12”;
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var date = mm+”/”+dd+”/”+yy;
//alert(date);

//alert(flagAr[csvgen_counter]);
//alert(“this is flagAr”+flagAr);

var timestam_1 = Date.parse(date);
var timestam= timestam_1+86400000; //86400000 added to get correct timezone output from Date.parse
var time4 = new Date(timestam);
var Weeko = time4.getDay();
var dd2 = time4.getDate();
var mm2 = time4.getMonth();
var flag_y=arr[i][1];
var ahref_title=”Click here for full story”;
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//var url=”http://www.nzherald.co.nz”;
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var url=arr[i][2];
var flag_date='{“x”:’+timestam+’, “title”:”  “,”text”:”Click here for Story!“}’;

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{
Weeko = “Wed”;
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Weeko = “Thu”;
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Weeko = “Fri”;
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Weeko = “Sat”;
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if (mm2==0)
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mm2 = “Jan”;
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{
mm2 = “Feb”;
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{
mm2 = “Mar”;
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else if (mm2==3)
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mm2 = “Apr”;
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else if (mm2==4)
{
mm2 = “May”;
}

else if (mm2==5)
{
mm2 = “Jun”;
}

else if (mm2==6)
{
mm2 = “Jul”;
}

else if (mm2==7)
{
mm2 = “Aug”;
}

else if (mm2==8)
{
mm2 = “Sep”;
}

else if (mm2==9)
{
mm2 = “Oct”;
}

else if (mm2==10)
{
mm2 = “Nov”;
}

else if (mm2==11)
{
mm2 = “Dec”;
}
//++++++++++++++++++++++++++++++++++++++++

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fomat2=dd2+”-“+mm2+”-“+yy4;
padding_value=timestamweek;
range_selector=2;
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else if ( timestamvar = timestamyear)
{
fomat2=mm2+”-“+yy4;
padding_value=timestamyear;
range_selector=3;
}

//monthly
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{
fomat2=mm2+”-“+yy4;
padding_value=timestamquarterly;
range_selector=3;
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else
{
fomat2=dd2+”-“+mm2+”-“+yy4;
padding_value=timestamday;
range_selector=3;
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//alert(“this is arr[i][0]”+arr[i][0]);
var decpad;
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arr[i][1] = decpad;

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{

// Functionality to get the last value

var xvalu=dd2+”-“+mm2+”-“+yy4;
var yvalu= String(arr[i][1]);
var xyvalu=”Latest value at “+xvalu+” is “+yvalu;
updt=”Updated on “+xvalu;
//alert(“this is updt= “+updt);
}

tempAr.push(timestam);
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arr[i][1]=null;
}
yaxisAr[csvgen_counter].push(arr[i][1]);
// tempAr1.push(timestam);
// tempAr2.push(tempAr1);
tempAr.push(arr[i][1]);
last_val=timestam;
finalAr[csvgen_counter].push(tempAr);
}
xpad=last_val+padding_value; //*****************to end up graph early//////
//alert(finalAr[csvgen_counter]);
if(arr[i]== “”)
{
vi=arr.length-i;
arr.length=arr.length-vi;
i=arr.length-1;
fomat = replic;

var k=0;

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var k1 =k;

do {
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} while(fomat.charAt(k)!=”-“)
var k2=k;

do {
k++;
} while(k<fomat.length)
var k3=k;

var dd= fomat.substring(0,k1);
var mm = fomat.substring(k1+1,k2);
var yy = "20"+fomat.substring(k2+1,k3+1);

// conversion of months into numerical form

//+++++++++++++++++++++++++++++++++++
if (mm == "Jan")
{
mm= "01";
}
else if (mm == "Feb")
{
mm= "02";
}

else if (mm == "Mar")
{
mm= "03";
}

else if (mm == "Apr")
{
mm= "04";
}

else if (mm == "May")
{
mm= "05";
}

else if (mm == "Jun")
{
mm= "06";
}

else if (mm == "Jul")
{
mm= "07";
}

else if (mm == "Aug")
{
mm= "08";
}

else if (mm == "Sep")
{
mm= "09";
}

else if (mm == "Oct")
{
mm= "10";
}

else if (mm == "Nov")
{
mm= "11";
}

else if (mm == "Dec")
{
mm= "12";
}
// +++++++++++++++++++++++++++++++++++++++++++++++++++++++

var date = mm+"/"+dd+"/"+yy;
//here flagAr may be
var timestam = Date.parse(date);
var time4 = new Date(timestam);
var Weeko = time4.getDay();
var dd2 = time4.getDate();
var mm2 = time4.getMonth();

var yy2 = time4.getFullYear();
var yy3 = yy2+"";
var yy4= yy3.substring(2,4);
//++++++++++++++++++++++++this for days conversion++++++++++++++++++++++++++++
if (Weeko==1)
{
Weeko = "Mon";
}

else if (Weeko==2)
{
Weeko = "Tue";
}

else if (Weeko==3)
{
Weeko = "Wed";
}

else if (Weeko==4)
{
Weeko = "Thu";
}

else if (Weeko==5)
{
Weeko = "Fri";
}

else if (Weeko==6)
{
Weeko = "Sat";
}

else if (Weeko==0)
{
Weeko = "Sun";
}

//+++++++++++++++++++++++this is for month conversion+++++

if (mm2==0)
{
mm2 = "Jan";
}

else if (mm2==1)
{
mm2 = "Feb";
}

else if (mm2==2)
{
mm2 = "Mar";
}

else if (mm2==3)
{
mm2 = "Apr";
}

else if (mm2==4)
{
mm2 = "May";
}

else if (mm2==5)
{
mm2 = "Jun";
}

else if (mm2==6)
{
mm2 = "Jul";
}

else if (mm2==7)
{
mm2 = "Aug";
}

else if (mm2==8)
{
mm2 = "Sep";
}

else if (mm2==9)
{
mm2 = "Oct";
}

else if (mm2==10)
{
mm2 = "Nov";
}

else if (mm2==11)
{
mm2 = "Dec";
}
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if ( timestamvar == timestamweek)
{
fomat2=dd2+"-"+mm2+"-"+yy4;
}

// Daily
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fomat2=mm2+”-“+yy4;
}

//monthly
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{
fomat2=mm2+”-“+yy4;
}

arr[i][0]= fomat2;
var decpad;

decpad = parseFloat(arr[i][1]);
//arr[i][1] = roundVal(decpad);
arr[i][1] = decpad;
if(i==(arr.length-1))
{

var xvalu=dd2+”-“+mm2+”-“+yy4;
var yvalu= String(arr[i][1]);
var xyvalu=”Latest value at “+xvalu+” is “+yvalu;
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//alert(“this is updt= “+updt);
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//other required functions

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function getXMLHttpRequest(file) {

//var arrSignatures = [“MSXML2.XMLHTTP.5.0”, “MSXML2.XMLHTTP.4.0″,
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//for (var i=0; i < arrSignatures.length; i++) {

try
{
var xmlhttp = new window.XMLHttpRequest();
xmlhttp.open("POST",file,false);
return xmlhttp;
}
catch(e)
{
error=e.message;
}

//}
throw new Error("MSXML is not installed on your system.");
}

function readCSV(locfile) {
// load a whole csv file, and then split it line by line
var req = new getXMLHttpRequest(locfile);
//req.open("POST",locfile,false);
req.send("");
//alert(req.responseText.split(/n/g));
return req.responseText.split(/n/g);
}

function parseLineCSV(lineCSV) {
// parse csv line by line into array
var CSV = new Array();

lineCSV = lineCSV.replace(/,/g," ,");

lineCSV = lineCSV.split(/,/g);

// This is continuing of 'split' issue in IE
// remove all trailing space in each field
for (var i=0;i<lineCSV.length;i++) {
lineCSV[i] = lineCSV[i].replace(/s*$/g,"");
}

lineCSV[lineCSV.length-1]=lineCSV[lineCSV.length-1].replace(/^s*|s*$/g,"");
var fstart = -1;

for (var i=0;i=0) {
for (var j=fstart+1;j<=i;j++) {
lineCSV[fstart]=lineCSV[fstart]+","+lineCSV[j];
lineCSV[j]="-DELETED-";

}
fstart=-1;
}
}
fstart = (lineCSV[i].match(/^"/)) ? i : fstart;
}

var j=0;

for (var i=0;i<lineCSV.length;i++) {
if (lineCSV[i]!="-DELETED-") {
CSV[j] = lineCSV[i];
j++;
}

}

return CSV;
}

function roundVal(val_num){
var dec = 2;
var result = Math.round(val_num*Math.pow(10,dec))/Math.pow(10,dec);
return result;
}

function setdecimalpoints(deca)
{
var deca1= deca;
var deca2= parseInt(deca);
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{
return 2;
}
else
{
return 0;
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}
for(i=0;i<tabs_count;i++)
{
var loc=csvfiles_loc[i];
csvgenerata(loc);
//alert(flagAr[csvgen_counter]);
// var flag_test="["+flagAr[csvgen_counter]+"]";
// alert(flag_test);
}

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jQuery.noConflict();
(function($) {

//alert(xpad);
$.getJSON(‘http://www.highcharts.com/samples/data/jsonp.php?filename=aapl-c.json&callback=?’, function(data) {
var demo = $(“div#mySliderTabs”).sliderTabs({
transition: ‘fade’,
});
for (var i=1;i<=tabs_count;i++)
{
//alert(range_selector);
//alert(finalAr[i]);
var arr_size=finalAr[i].length;
var arr_midpos=Math.floor(arr_size / 2);
var arr_uppermedian_pos=Math.floor((arr_size + arr_midpos)/2);
//alert(arr_uppermedian_pos);
var arr_uppermedian_val=finalAr[i][arr_uppermedian_pos][0];
//alert(finalAr[i][arr_uppermedian_pos][0]);
var oneDay = 24*60*60*1000;
var window_selector=Math.floor((xpad-arr_uppermedian_val)/oneDay);
//alert(window_selector);
var j=i-1;
var flag_test=flagAr[i];
ymax_pad[i]=Math.max.apply(Math, yaxisAr[i]);
ymin_pad[i]=Math.min.apply(Math, yaxisAr[i]);
var margin_max=ymax_pad[i] * 0.1;
var margin_min=ymin_pad[i] * 0.1;
var y_max=ymax_pad[i] + margin_max;
var y_min=ymin_pad[i] – margin_min;

// var ymax=ymax_pad[i];
// var ymin=ymin_pad[i];
// var max_ticks=1000;
// var ticks_int=(ymax-ymin)/max_ticks;
// var ymax_padder=ymax_pad[i]+ticks_int;
// var ymin_padder=ymin_pad[i]-ticks_int;
//alert(ticks_int);
// alert("ymax_pad="+ymax_pad[i]);
// alert("ymax="+ymax);
// alert("ymin_pad="+ymin_pad[i]);
// alert("ymin="+ymin);
$('#container_'+i).highcharts('StockChart', {
chart: {
borderColor: '#000000',
height:363,
width:547,
marginLeft:-3,
marginTop:-43, //takes the chart area up
events: {
load: function() {
this.renderer.image('/sites/all/libraries/InterestHighcharts/images/Interest_logo.gif', 170, 75, 200, 80).add(); // add image(url, x, y, w, h)
}
},
zoomType:'x'
},

credits: {
itemStyle: {
cursor: 'pointer',
color: '#000000',
fontSize: '11px',
fontWeight:'bold'
},
position: {
align: 'right',
x:-50,
verticalAlign: 'bottom',
y:-35
},
text: 'Source:'+source_arr[j],
href: source_hyperlink_arr[j] },

exporting: {
enabled:false, //diables the print button
},

rangeSelector : {
selected : 0,
inputEnabled : false,
buttonTheme:{
display: 'none'
},
labelStyle:{
color: 'transparent'
},
buttons: [{
type: 'day',
count: window_selector,
}, {
type: 'week',
count: 3,
text: '3w'
}, {
type: 'month',
count: 6,
text: '6m'
}, {
type: 'ytd',
text: 'YTD'
}, {
type: 'year',
count: 1,
text: '1y'
}, {
type: 'all',
text: 'All'
}] },

navigator : {
adaptToUpdatedData: false,
xAxis:{
labels:{
enabled: false,
},
},
height: 50,
margin:-2,
series:{
lineColor:'#FF0000',
fillColor : '#FFFFFF'
}
},

title : {
text : chart_title_arr[j],
align: 'left',
x: 26,
verticalAlign: 'top',
//y: 50,
style: {
fontFamily:'Arial,Helvetica,sans-serif',
fontWeight:'bold'
}
},

subtitle : {
text : chart_subtitles_arr[j],
floating:true, //enable us to position the subtitle using 'x' and 'y'
align: 'center',
x:10,
y:15,
style: {
fontFamily:'Arial,Helvetica,sans-serif',
},
},

xAxis: {
type:'datetime',
lineWidth: 20,
// gridLineColor:'#FAFFFF',
// gridLineDashStyle:'Dot',
dateTimeLabelFormats: {
day: '%e-%b',
week: '%e-%b',
month: '%b-%y',
year: '%Y'
},
max:xpad,
events: {
setExtremes: function(e) {
if (e.trigger === "navigator") {
max=e.max+padding_value;
var x=this;
setTimeout(function(){
x.setExtremes(e.min,max); //chart xAxis
}, 4);
}
}
},
labels: {
style: {
color: 'black',
fontSize: '10px',
fontWeight:'bold',
fontFamily:'Arial,Helvetica,sans-serif'
},
y:3
}
},

yAxis: {
opposite: true,
startonTick: true,
endonTick: true,
labels: {
formatter: function() {
return Highcharts.numberFormat(this.value,setdecimalpoints(this.value));
},
style: {
color: 'black',
fontSize: '10px',
fontWeight:'normal'
},
y:-12
}
},

scrollbar: {
liveRedraw: false
},

series : [{
data : finalAr[i],
id: 'dataseries',
lineWidth:3,
pointPlacement: 'on',
zIndex:9999,
name : 'AAPL Stock Price',
shadow:{
width:3,
color:'#000000'
},
lineColor:'#FF0000',
type : 'area',
threshold : null,
tooltip : {
valueDecimals : decimal_arr[i],
useHTML: true,
headerFormat:'

{point.key}
‘,
pointFormat: ‘{point.y}
‘,
footerFormat:’

‘,
},
dataGrouping:{
dateTimeLabelFormats: {
hour:[‘%b-%e,%Y’, ‘%b-%e,%Y’, ”],
day: [‘%b-%e,%Y’, ‘%b-%e,%Y’, ‘-%b %e, %Y’],
week: [‘%e-%b,%Y’, ‘%e-%b,%Y’, ‘-%e %b, %Y’],
month:[‘%b-%y’, ‘%b-%y’, ‘-%b %y %Y’],
year: [‘%Y’, ‘%Y’, ‘-%Y’] }
},
fillColor: {
linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1},
stops: [
[0, ‘#FFD8D5’],
[1, ‘rgba(255,255,255,0)’] ] },
fillOpacity:.01
},
{
type: ‘flags’,
useHTML: true,
name: ‘Flags on series’,
data: JSON.parse(“[“+flag_test+”]”),
onSeries: ‘dataseries’,
shape: “url(/sites/all/libraries/InterestHighcharts/images/balloon.jpg)”,
width : 5,
y: -33 //this is for flag
}]

});
}
});
//$(‘.series’).animate({height: 600, width: 800});

})(jQuery);

We update this chart twice each day, from the same data the drives our 'live-rates' charts.

Read full story

All its research is available here.