Hungarian Forint HUF 2018 Conversion Rates

  • Opening Value is 258.350006 HUF per Dollar
  • Closing Value is 279.989826 HUF per Dollar
  • Change in Value during 2018 is 21.6398 which is 8.38%
  • Best Performance is on 2018-02-01 with 247.070007 HUF per Dollar
  • Lowest Performance is on 2018-11-12 with 287.269921 HUF per Dollar
  • Average Value is 270.2371 HUF per Dollar
  • Swing Between the higest and the lowest is 40.1999 per Dollar, that is 15.56% compared to the opening value.

USD to HUF Conversion Rates – 12 months

Date 1 USD =
2018-12-31 279.9898 HUF
2018-11-30 285.9604 HUF
2018-10-31 286.9280 HUF
2018-09-30 278.5850 HUF
2018-08-31 281.5404 HUF
2018-07-31 274.1750 HUF
2018-06-30 281.5700 HUF
2018-05-31 273.1400 HUF
2018-04-30 259.4600 HUF
2018-03-31 253.4800 HUF
2018-02-28 257.2600 HUF
2018-01-31 249.4300 HUF
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-12-31”),279.990,279.99],[new Date(“2018-11-30”),285.960,285.96],[new Date(“2018-10-31”),286.928,286.93],[new Date(“2018-09-30”),278.585,278.59],[new Date(“2018-08-31”),281.540,281.54],[new Date(“2018-07-31”),274.175,274.18],[new Date(“2018-06-30”),281.570,281.57],[new Date(“2018-05-31”),273.140,273.14],[new Date(“2018-04-30”),259.460,259.46],[new Date(“2018-03-31”),253.480,253.48],[new Date(“2018-02-28”),257.260,257.26],[new Date(“2018-01-31”),249.430,249.43],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[‘red’]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12months’));
chart.draw(data, options);
}

December, 2018

01      285.8504
02      285.4260
↗0.424, 0.15%
03      284.1497
↗1.276, 0.45%
04      285.2599
↘1.110, 0.39%
05      284.9604
↗0.300, 0.10%
06      283.9799
↗0.981, 0.34%
07      283.9404
↗0.039, 0.01%
08      283.9404
→0.000, 0.00%
09      283.5097
↗0.431, 0.15%
10      284.9398
↘1.430, 0.50%
11      285.8903
↘0.950, 0.33%
12      283.9950
↗1.895, 0.66%
13      284.5299
↘0.535, 0.19%
14      286.3304
↘1.801, 0.63%
15      286.3304
→0.000, 0.00%
16      286.1800
↗0.150, 0.05%
17      285.0799
↗1.100, 0.38%
18      283.2798
↗1.800, 0.63%
19      283.4203
↘0.140, 0.05%
20      280.5597
↗2.861, 1.01%
21      283.2804
↘2.721, 0.97%
22      283.2804
→0.000, 0.00%
23      283.1910
↗0.089, 0.03%
24      282.0099
↗1.181, 0.42%
25      281.8899
↗0.120, 0.04%
26      282.8900
↘1.000, 0.35%
27      280.8860
↗2.004, 0.71%
28      280.8504
↗0.036, 0.01%
29      280.8504
→0.000, 0.00%
30      281.2480
↘0.398, 0.14%
31      279.9898
↗1.258, 0.45%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-12-01”),285.850,285.85],[new Date(“2018-12-02”),285.426,285.43],[new Date(“2018-12-03”),284.150,284.15],[new Date(“2018-12-04”),285.260,285.26],[new Date(“2018-12-05”),284.960,284.96],[new Date(“2018-12-06”),283.980,283.98],[new Date(“2018-12-07”),283.940,283.94],[new Date(“2018-12-08”),283.940,283.94],[new Date(“2018-12-09”),283.510,283.51],[new Date(“2018-12-10”),284.940,284.94],[new Date(“2018-12-11”),285.890,285.89],[new Date(“2018-12-12”),283.995,283.99],[new Date(“2018-12-13”),284.530,284.53],[new Date(“2018-12-14”),286.330,286.33],[new Date(“2018-12-15”),286.330,286.33],[new Date(“2018-12-16”),286.180,286.18],[new Date(“2018-12-17”),285.080,285.08],[new Date(“2018-12-18”),283.280,283.28],[new Date(“2018-12-19”),283.420,283.42],[new Date(“2018-12-20”),280.560,280.56],[new Date(“2018-12-21”),283.280,283.28],[new Date(“2018-12-22”),283.280,283.28],[new Date(“2018-12-23”),283.191,283.19],[new Date(“2018-12-24”),282.010,282.01],[new Date(“2018-12-25”),281.890,281.89],[new Date(“2018-12-26”),282.890,282.89],[new Date(“2018-12-27”),280.886,280.89],[new Date(“2018-12-28”),280.850,280.85],[new Date(“2018-12-29”),280.850,280.85],[new Date(“2018-12-30”),281.248,281.25],[new Date(“2018-12-31″),279.990,279.99],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_12’));
chart.draw(data, options);
}

November, 2018

01      283.1699
02      282.6204
↗0.550, 0.19%
03      282.6204
→0.000, 0.00%
04      282.1700
↗0.450, 0.16%
05      282.2230
↘0.053, 0.02%
06      281.4170
↗0.806, 0.29%
07      281.0970
↗0.320, 0.11%
08      282.3530
↘1.256, 0.45%
09      283.6504
↘1.297, 0.46%
10      283.6504
→0.000, 0.00%
11      283.9750
↘0.325, 0.11%
12      287.2699
↘3.295, 1.16%
13      285.5014
↗1.769, 0.62%
14      285.1601
↗0.341, 0.12%
15      284.3498
↗0.810, 0.28%
16      282.7104
↗1.639, 0.58%
17      281.7104
↗1.000, 0.35%
18      281.8660
↘0.156, 0.06%
19      280.4270
↗1.439, 0.51%
20      282.6699
↘2.243, 0.80%
21      282.5739
↗0.096, 0.03%
22      281.7303
↗0.844, 0.30%
23      284.3520
↘2.622, 0.93%
24      284.4404
↘0.088, 0.03%
25      284.3605
↗0.080, 0.03%
26      285.7506
↘1.390, 0.49%
27      286.8301
↘1.080, 0.38%
28      284.7590
↗2.071, 0.72%
29      284.1010
↗0.658, 0.23%
30      285.9604
↘1.859, 0.65%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-11-01”),283.170,283.17],[new Date(“2018-11-02”),282.620,282.62],[new Date(“2018-11-03”),282.620,282.62],[new Date(“2018-11-04”),282.170,282.17],[new Date(“2018-11-05”),282.223,282.22],[new Date(“2018-11-06”),281.417,281.42],[new Date(“2018-11-07”),281.097,281.10],[new Date(“2018-11-08”),282.353,282.35],[new Date(“2018-11-09”),283.650,283.65],[new Date(“2018-11-10”),283.650,283.65],[new Date(“2018-11-11”),283.975,283.98],[new Date(“2018-11-12”),287.270,287.27],[new Date(“2018-11-13”),285.501,285.50],[new Date(“2018-11-14”),285.160,285.16],[new Date(“2018-11-15”),284.350,284.35],[new Date(“2018-11-16”),282.710,282.71],[new Date(“2018-11-17”),281.710,281.71],[new Date(“2018-11-18”),281.866,281.87],[new Date(“2018-11-19”),280.427,280.43],[new Date(“2018-11-20”),282.670,282.67],[new Date(“2018-11-21”),282.574,282.57],[new Date(“2018-11-22”),281.730,281.73],[new Date(“2018-11-23”),284.352,284.35],[new Date(“2018-11-24”),284.440,284.44],[new Date(“2018-11-25”),284.360,284.36],[new Date(“2018-11-26”),285.751,285.75],[new Date(“2018-11-27”),286.830,286.83],[new Date(“2018-11-28”),284.759,284.76],[new Date(“2018-11-29”),284.101,284.10],[new Date(“2018-11-30″),285.960,285.96],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_11’));
chart.draw(data, options);
}

October, 2018

01      278.9903
02      279.6498
↘0.660, 0.24%
03      281.3702
↘1.720, 0.62%
04      281.6096
↘0.239, 0.09%
05      281.7404
↘0.131, 0.05%
06      281.9404
↘0.200, 0.07%
07      281.8196
↗0.121, 0.04%
08      282.9301
↘1.110, 0.39%
09      282.2070
↗0.723, 0.26%
10      282.5499
↘0.343, 0.12%
11      280.7540
↗1.796, 0.64%
12      280.4804
↗0.274, 0.10%
13      280.4804
→0.000, 0.00%
14      280.7310
↘0.251, 0.09%
15      278.6103
↗2.121, 0.76%
16      278.0640
↗0.546, 0.20%
17      280.0603
↘1.996, 0.72%
18      282.1720
↘2.112, 0.75%
19      280.6104
↗1.562, 0.55%
20      280.6104
→0.000, 0.00%
21      280.6550
↘0.045, 0.02%
22      281.6250
↘0.970, 0.35%
23      281.2580
↗0.367, 0.13%
24      284.0003
↘2.742, 0.97%
25      285.0000
↘1.000, 0.35%
26      284.3804
↗0.620, 0.22%
27      284.3904
↘0.010, 0.00%
28      284.3730
↗0.017, 0.01%
29      285.4551
↘1.082, 0.38%
30      286.0940
↘0.639, 0.22%
31      286.9280
↘0.834, 0.29%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-10-01”),278.990,278.99],[new Date(“2018-10-02”),279.650,279.65],[new Date(“2018-10-03”),281.370,281.37],[new Date(“2018-10-04”),281.610,281.61],[new Date(“2018-10-05”),281.740,281.74],[new Date(“2018-10-06”),281.940,281.94],[new Date(“2018-10-07”),281.820,281.82],[new Date(“2018-10-08”),282.930,282.93],[new Date(“2018-10-09”),282.207,282.21],[new Date(“2018-10-10”),282.550,282.55],[new Date(“2018-10-11”),280.754,280.75],[new Date(“2018-10-12”),280.480,280.48],[new Date(“2018-10-13”),280.480,280.48],[new Date(“2018-10-14”),280.731,280.73],[new Date(“2018-10-15”),278.610,278.61],[new Date(“2018-10-16”),278.064,278.06],[new Date(“2018-10-17”),280.060,280.06],[new Date(“2018-10-18”),282.172,282.17],[new Date(“2018-10-19”),280.610,280.61],[new Date(“2018-10-20”),280.610,280.61],[new Date(“2018-10-21”),280.655,280.65],[new Date(“2018-10-22”),281.625,281.63],[new Date(“2018-10-23”),281.258,281.26],[new Date(“2018-10-24”),284.000,284.00],[new Date(“2018-10-25”),285.000,285.00],[new Date(“2018-10-26”),284.380,284.38],[new Date(“2018-10-27”),284.390,284.39],[new Date(“2018-10-28”),284.373,284.37],[new Date(“2018-10-29”),285.455,285.46],[new Date(“2018-10-30”),286.094,286.09],[new Date(“2018-10-31″),286.928,286.93],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_10’));
chart.draw(data, options);
}

September, 2018

01      281.5204
02      281.3975
↗0.123, 0.04%
03      281.2301
↗0.167, 0.06%
04      282.8798
↘1.650, 0.59%
05      281.5810
↗1.299, 0.46%
06      280.6203
↗0.961, 0.34%
07      281.2304
↘0.610, 0.22%
08      281.2704
↘0.040, 0.01%
09      281.3350
↘0.065, 0.02%
10      280.2604
↗1.075, 0.38%
11      279.9596
↗0.301, 0.11%
12      279.5670
↗0.393, 0.14%
13      277.4223
↗2.145, 0.77%
14      279.5304
↘2.108, 0.76%
15      279.5304
→0.000, 0.00%
16      279.3801
↗0.150, 0.05%
17      278.4410
↗0.939, 0.34%
18      277.3310
↗1.110, 0.40%
19      276.8988
↗0.432, 0.16%
20      274.6899
↗2.209, 0.80%
21      276.0304
↘1.341, 0.49%
22      276.0504
↘0.020, 0.01%
23      275.8501
↗0.200, 0.07%
24      275.3005
↗0.550, 0.20%
25      275.6360
↘0.335, 0.12%
26      275.4100
↗0.226, 0.08%
27      278.1198
↘2.710, 0.98%
28      278.7304
↘0.611, 0.22%
29      278.7304
→0.000, 0.00%
30      278.5850
↗0.145, 0.05%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-09-01”),281.520,281.52],[new Date(“2018-09-02”),281.398,281.40],[new Date(“2018-09-03”),281.230,281.23],[new Date(“2018-09-04”),282.880,282.88],[new Date(“2018-09-05”),281.581,281.58],[new Date(“2018-09-06”),280.620,280.62],[new Date(“2018-09-07”),281.230,281.23],[new Date(“2018-09-08”),281.270,281.27],[new Date(“2018-09-09”),281.335,281.33],[new Date(“2018-09-10”),280.260,280.26],[new Date(“2018-09-11”),279.960,279.96],[new Date(“2018-09-12”),279.567,279.57],[new Date(“2018-09-13”),277.422,277.42],[new Date(“2018-09-14”),279.530,279.53],[new Date(“2018-09-15”),279.530,279.53],[new Date(“2018-09-16”),279.380,279.38],[new Date(“2018-09-17”),278.441,278.44],[new Date(“2018-09-18”),277.331,277.33],[new Date(“2018-09-19”),276.899,276.90],[new Date(“2018-09-20”),274.690,274.69],[new Date(“2018-09-21”),276.030,276.03],[new Date(“2018-09-22”),276.050,276.05],[new Date(“2018-09-23”),275.850,275.85],[new Date(“2018-09-24”),275.301,275.30],[new Date(“2018-09-25”),275.636,275.64],[new Date(“2018-09-26”),275.410,275.41],[new Date(“2018-09-27”),278.120,278.12],[new Date(“2018-09-28”),278.730,278.73],[new Date(“2018-09-29”),278.730,278.73],[new Date(“2018-09-30″),278.585,278.59],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}

August, 2018

01      275.0860
02      277.2601
↘2.174, 0.79%
03      276.8038
↗0.456, 0.16%
04      276.8038
→0.000, 0.00%
05      276.8103
↘0.006, 0.00%
06      276.9395
↘0.129, 0.05%
07      275.6702
↗1.269, 0.46%
08      275.1983
↗0.472, 0.17%
09      278.3740
↘3.176, 1.15%
10      283.1504
↘4.776, 1.72%
11      283.1504
→0.000, 0.00%
12      283.7585
↘0.608, 0.21%
13      283.3702
↗0.388, 0.14%
14      284.5397
↘1.169, 0.41%
15      285.9954
↘1.456, 0.51%
16      284.8102
↗1.185, 0.41%
17      282.3038
↗2.506, 0.88%
18      282.3038
→0.000, 0.00%
19      282.5230
↘0.219, 0.08%
20      281.8802
↗0.643, 0.23%
21      279.5500
↗2.330, 0.83%
22      278.5797
↗0.970, 0.35%
23      281.0504
↘2.471, 0.89%
24      278.3704
↗2.680, 0.95%
25      278.3704
→0.000, 0.00%
26      277.9055
↗0.465, 0.17%
27      277.2435
↗0.662, 0.24%
28      277.1080
↗0.136, 0.05%
29      278.1103
↘1.002, 0.36%
30      280.3795
↘2.269, 0.82%
31      281.5404
↘1.161, 0.41%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-08-01”),275.086,275.09],[new Date(“2018-08-02”),277.260,277.26],[new Date(“2018-08-03”),276.804,276.80],[new Date(“2018-08-04”),276.804,276.80],[new Date(“2018-08-05”),276.810,276.81],[new Date(“2018-08-06”),276.939,276.94],[new Date(“2018-08-07”),275.670,275.67],[new Date(“2018-08-08”),275.198,275.20],[new Date(“2018-08-09”),278.374,278.37],[new Date(“2018-08-10”),283.150,283.15],[new Date(“2018-08-11”),283.150,283.15],[new Date(“2018-08-12”),283.758,283.76],[new Date(“2018-08-13”),283.370,283.37],[new Date(“2018-08-14”),284.540,284.54],[new Date(“2018-08-15”),285.995,286.00],[new Date(“2018-08-16”),284.810,284.81],[new Date(“2018-08-17”),282.304,282.30],[new Date(“2018-08-18”),282.304,282.30],[new Date(“2018-08-19”),282.523,282.52],[new Date(“2018-08-20”),281.880,281.88],[new Date(“2018-08-21”),279.550,279.55],[new Date(“2018-08-22”),278.580,278.58],[new Date(“2018-08-23”),281.050,281.05],[new Date(“2018-08-24”),278.370,278.37],[new Date(“2018-08-25”),278.370,278.37],[new Date(“2018-08-26”),277.906,277.91],[new Date(“2018-08-27”),277.243,277.24],[new Date(“2018-08-28”),277.108,277.11],[new Date(“2018-08-29”),278.110,278.11],[new Date(“2018-08-30”),280.380,280.38],[new Date(“2018-08-31″),281.540,281.54],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}

July, 2018

01      281.5600
02      283.1400
↘1.580, 0.56%
03      280.7400
↗2.400, 0.85%
04      278.8000
↗1.940, 0.69%
05      276.7100
↗2.090, 0.75%
06      274.7900
↗1.920, 0.69%
07      274.9500
↘0.160, 0.06%
08      275.1100
↘0.160, 0.06%
09      275.1200
↘0.010, 0.00%
10      275.9500
↘0.830, 0.30%
11      278.5200
↘2.570, 0.93%
12      278.1600
↗0.360, 0.13%
13      276.0900
↗2.070, 0.74%
14      276.0900
→0.000, 0.00%
15      276.7497
↘0.660, 0.24%
16      275.6700
↗1.080, 0.39%
17      277.3600
↘1.690, 0.61%
18      278.2800
↘0.920, 0.33%
19      279.9100
↘1.630, 0.59%
20      277.4500
↗2.460, 0.88%
21      277.4500
→0.000, 0.00%
22      277.4500
→0.000, 0.00%
23      279.0300
↘1.580, 0.57%
24      278.8300
↗0.200, 0.07%
25      277.0600
↗1.770, 0.63%
26      277.9800
↘0.920, 0.33%
27      276.4300
↗1.550, 0.56%
28      276.4300
→0.000, 0.00%
29      276.6100
↘0.180, 0.07%
30      274.7180
↗1.892, 0.68%
31      274.1750
↗0.543, 0.20%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-07-01”),281.560,281.56],[new Date(“2018-07-02”),283.140,283.14],[new Date(“2018-07-03”),280.740,280.74],[new Date(“2018-07-04”),278.800,278.80],[new Date(“2018-07-05”),276.710,276.71],[new Date(“2018-07-06”),274.790,274.79],[new Date(“2018-07-07”),274.950,274.95],[new Date(“2018-07-08”),275.110,275.11],[new Date(“2018-07-09”),275.120,275.12],[new Date(“2018-07-10”),275.950,275.95],[new Date(“2018-07-11”),278.520,278.52],[new Date(“2018-07-12”),278.160,278.16],[new Date(“2018-07-13”),276.090,276.09],[new Date(“2018-07-14”),276.090,276.09],[new Date(“2018-07-15”),276.750,276.75],[new Date(“2018-07-16”),275.670,275.67],[new Date(“2018-07-17”),277.360,277.36],[new Date(“2018-07-18”),278.280,278.28],[new Date(“2018-07-19”),279.910,279.91],[new Date(“2018-07-20”),277.450,277.45],[new Date(“2018-07-21”),277.450,277.45],[new Date(“2018-07-22”),277.450,277.45],[new Date(“2018-07-23”),279.030,279.03],[new Date(“2018-07-24”),278.830,278.83],[new Date(“2018-07-25”),277.060,277.06],[new Date(“2018-07-26”),277.980,277.98],[new Date(“2018-07-27”),276.430,276.43],[new Date(“2018-07-28”),276.430,276.43],[new Date(“2018-07-29”),276.610,276.61],[new Date(“2018-07-30”),274.718,274.72],[new Date(“2018-07-31″),274.175,274.18],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}

June, 2018

01      274.2800
02      274.2800
→0.000, 0.00%
03      274.1000
↗0.180, 0.07%
04      272.2700
↗1.830, 0.67%
05      271.5800
↗0.690, 0.25%
06      269.7900
↗1.790, 0.66%
07      270.0700
↘0.280, 0.10%
08      271.3200
↘1.250, 0.46%
09      271.3200
→0.000, 0.00%
10      271.2900
↗0.030, 0.01%
11      272.4300
↘1.140, 0.42%
12      271.9200
↗0.510, 0.19%
13      271.4500
↗0.470, 0.17%
14      279.0300
↘7.580, 2.79%
15      277.6000
↗1.430, 0.51%
16      277.6000
→0.000, 0.00%
17      278.0700
↘0.470, 0.17%
18      278.2200
↘0.150, 0.05%
19      277.9500
↗0.270, 0.10%
20      279.4500
↘1.500, 0.54%
21      280.8900
↘1.440, 0.52%
22      278.4600
↗2.430, 0.87%
23      278.4600
→0.000, 0.00%
24      278.1200
↗0.340, 0.12%
25      278.2700
↘0.150, 0.05%
26      279.8200
↘1.550, 0.56%
27      283.2400
↘3.420, 1.22%
28      283.9000
↘0.660, 0.23%
29      281.5700
↗2.330, 0.82%
30      281.5700
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-06-01”),274.280,274.28],[new Date(“2018-06-02”),274.280,274.28],[new Date(“2018-06-03”),274.100,274.10],[new Date(“2018-06-04”),272.270,272.27],[new Date(“2018-06-05”),271.580,271.58],[new Date(“2018-06-06”),269.790,269.79],[new Date(“2018-06-07”),270.070,270.07],[new Date(“2018-06-08”),271.320,271.32],[new Date(“2018-06-09”),271.320,271.32],[new Date(“2018-06-10”),271.290,271.29],[new Date(“2018-06-11”),272.430,272.43],[new Date(“2018-06-12”),271.920,271.92],[new Date(“2018-06-13”),271.450,271.45],[new Date(“2018-06-14”),279.030,279.03],[new Date(“2018-06-15”),277.600,277.60],[new Date(“2018-06-16”),277.600,277.60],[new Date(“2018-06-17”),278.070,278.07],[new Date(“2018-06-18”),278.220,278.22],[new Date(“2018-06-19”),277.950,277.95],[new Date(“2018-06-20”),279.450,279.45],[new Date(“2018-06-21”),280.890,280.89],[new Date(“2018-06-22”),278.460,278.46],[new Date(“2018-06-23”),278.460,278.46],[new Date(“2018-06-24”),278.120,278.12],[new Date(“2018-06-25”),278.270,278.27],[new Date(“2018-06-26”),279.820,279.82],[new Date(“2018-06-27”),283.240,283.24],[new Date(“2018-06-28”),283.900,283.90],[new Date(“2018-06-29”),281.570,281.57],[new Date(“2018-06-30″),281.570,281.57],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}

May, 2018

01      261.5600
02      262.9000
↘1.340, 0.51%
03      261.5700
↗1.330, 0.51%
04      262.1200
↘0.550, 0.21%
05      262.1200
→0.000, 0.00%
06      262.3600
↘0.240, 0.09%
07      263.4000
↘1.040, 0.40%
08      265.0700
↘1.670, 0.63%
09      265.9999
↘0.930, 0.35%
10      263.5800
↗2.420, 0.91%
11      263.8500
↘0.270, 0.10%
12      263.8500
→0.000, 0.00%
13      263.6700
↗0.180, 0.07%
14      264.1900
↘0.520, 0.20%
15      267.5300
↘3.340, 1.26%
16      267.0700
↗0.460, 0.17%
17      268.8500
↘1.780, 0.67%
18      270.0600
↘1.210, 0.45%
19      270.0600
→0.000, 0.00%
20      270.4700
↘0.410, 0.15%
21      269.3400
↗1.130, 0.42%
22      269.5400
↘0.200, 0.07%
23      271.7200
↘2.180, 0.81%
24      272.1600
↘0.440, 0.16%
25      273.9100
↘1.750, 0.64%
26      273.9100
→0.000, 0.00%
27      272.7700
↗1.140, 0.42%
28      273.7900
↘1.020, 0.37%
29      278.0200
↘4.230, 1.54%
30      273.7200
↗4.300, 1.55%
31      273.1400
↗0.580, 0.21%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-05-01”),261.560,261.56],[new Date(“2018-05-02”),262.900,262.90],[new Date(“2018-05-03”),261.570,261.57],[new Date(“2018-05-04”),262.120,262.12],[new Date(“2018-05-05”),262.120,262.12],[new Date(“2018-05-06”),262.360,262.36],[new Date(“2018-05-07”),263.400,263.40],[new Date(“2018-05-08”),265.070,265.07],[new Date(“2018-05-09”),266.000,266.00],[new Date(“2018-05-10”),263.580,263.58],[new Date(“2018-05-11”),263.850,263.85],[new Date(“2018-05-12”),263.850,263.85],[new Date(“2018-05-13”),263.670,263.67],[new Date(“2018-05-14”),264.190,264.19],[new Date(“2018-05-15”),267.530,267.53],[new Date(“2018-05-16”),267.070,267.07],[new Date(“2018-05-17”),268.850,268.85],[new Date(“2018-05-18”),270.060,270.06],[new Date(“2018-05-19”),270.060,270.06],[new Date(“2018-05-20”),270.470,270.47],[new Date(“2018-05-21”),269.340,269.34],[new Date(“2018-05-22”),269.540,269.54],[new Date(“2018-05-23”),271.720,271.72],[new Date(“2018-05-24”),272.160,272.16],[new Date(“2018-05-25”),273.910,273.91],[new Date(“2018-05-26”),273.910,273.91],[new Date(“2018-05-27”),272.770,272.77],[new Date(“2018-05-28”),273.790,273.79],[new Date(“2018-05-29”),278.020,278.02],[new Date(“2018-05-30”),273.720,273.72],[new Date(“2018-05-31″),273.140,273.14],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}

April, 2018

01      253.5300
02      253.9300
↘0.400, 0.16%
03      253.8200
↗0.110, 0.04%
04      252.9900
↗0.830, 0.33%
05      253.9400
↘0.950, 0.38%
06      254.2600
↘0.320, 0.13%
07      254.2600
→0.000, 0.00%
08      254.1400
↗0.120, 0.05%
09      252.7300
↗1.410, 0.55%
10      251.5200
↗1.210, 0.48%
11      251.5300
↘0.010, 0.00%
12      252.1100
↘0.580, 0.23%
13      251.7100
↗0.400, 0.16%
14      251.7100
→0.000, 0.00%
15      251.8000
↘0.090, 0.04%
16      250.3100
↗1.490, 0.59%
17      250.7700
↘0.460, 0.18%
18      250.7000
↗0.070, 0.03%
19      251.0600
↘0.360, 0.14%
20      252.6000
↘1.540, 0.61%
21      252.7000
↘0.100, 0.04%
22      253.0001
↘0.300, 0.12%
23      255.6600
↘2.660, 1.05%
24      255.2600
↗0.400, 0.16%
25      257.1300
↘1.870, 0.73%
26      258.1900
↘1.060, 0.41%
27      257.6200
↗0.570, 0.22%
28      257.6200
→0.000, 0.00%
29      258.0100
↘0.390, 0.15%
30      259.4600
↘1.450, 0.56%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-04-01”),253.530,253.53],[new Date(“2018-04-02”),253.930,253.93],[new Date(“2018-04-03”),253.820,253.82],[new Date(“2018-04-04”),252.990,252.99],[new Date(“2018-04-05”),253.940,253.94],[new Date(“2018-04-06”),254.260,254.26],[new Date(“2018-04-07”),254.260,254.26],[new Date(“2018-04-08”),254.140,254.14],[new Date(“2018-04-09”),252.730,252.73],[new Date(“2018-04-10”),251.520,251.52],[new Date(“2018-04-11”),251.530,251.53],[new Date(“2018-04-12”),252.110,252.11],[new Date(“2018-04-13”),251.710,251.71],[new Date(“2018-04-14”),251.710,251.71],[new Date(“2018-04-15”),251.800,251.80],[new Date(“2018-04-16”),250.310,250.31],[new Date(“2018-04-17”),250.770,250.77],[new Date(“2018-04-18”),250.700,250.70],[new Date(“2018-04-19”),251.060,251.06],[new Date(“2018-04-20”),252.600,252.60],[new Date(“2018-04-21”),252.700,252.70],[new Date(“2018-04-22”),253.000,253.00],[new Date(“2018-04-23”),255.660,255.66],[new Date(“2018-04-24”),255.260,255.26],[new Date(“2018-04-25”),257.130,257.13],[new Date(“2018-04-26”),258.190,258.19],[new Date(“2018-04-27”),257.620,257.62],[new Date(“2018-04-28”),257.620,257.62],[new Date(“2018-04-29”),258.010,258.01],[new Date(“2018-04-30″),259.460,259.46],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}

March, 2018

01      255.4500
02      254.3700
↗1.080, 0.42%
03      254.4300
↘0.060, 0.02%
04      254.7000
↘0.270, 0.11%
05      254.5600
↗0.140, 0.05%
06      251.9800
↗2.580, 1.01%
07      251.6300
↗0.350, 0.14%
08      253.1700
↘1.540, 0.61%
09      253.0400
↗0.130, 0.05%
10      253.0800
↘0.040, 0.02%
11      252.9400
↗0.140, 0.06%
12      252.5800
↗0.360, 0.14%
13      251.4100
↗1.170, 0.46%
14      251.3800
↗0.030, 0.01%
15      252.6900
↘1.310, 0.52%
16      252.7400
↘0.050, 0.02%
17      252.7400
→0.000, 0.00%
18      253.0800
↘0.340, 0.13%
19      252.0500
↗1.030, 0.41%
20      254.0100
↘1.960, 0.78%
21      251.9700
↗2.040, 0.80%
22      253.0700
↘1.100, 0.44%
23      253.0700
→0.000, 0.00%
24      253.0700
→0.000, 0.00%
25      253.1500
↘0.080, 0.03%
26      250.9800
↗2.170, 0.86%
27      251.8900
↘0.910, 0.36%
28      253.6600
↘1.770, 0.70%
29      253.5900
↗0.070, 0.03%
30      253.4800
↗0.110, 0.04%
31      253.4800
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-03-01”),255.450,255.45],[new Date(“2018-03-02”),254.370,254.37],[new Date(“2018-03-03”),254.430,254.43],[new Date(“2018-03-04”),254.700,254.70],[new Date(“2018-03-05”),254.560,254.56],[new Date(“2018-03-06”),251.980,251.98],[new Date(“2018-03-07”),251.630,251.63],[new Date(“2018-03-08”),253.170,253.17],[new Date(“2018-03-09”),253.040,253.04],[new Date(“2018-03-10”),253.080,253.08],[new Date(“2018-03-11”),252.940,252.94],[new Date(“2018-03-12”),252.580,252.58],[new Date(“2018-03-13”),251.410,251.41],[new Date(“2018-03-14”),251.380,251.38],[new Date(“2018-03-15”),252.690,252.69],[new Date(“2018-03-16”),252.740,252.74],[new Date(“2018-03-17”),252.740,252.74],[new Date(“2018-03-18”),253.080,253.08],[new Date(“2018-03-19”),252.050,252.05],[new Date(“2018-03-20”),254.010,254.01],[new Date(“2018-03-21”),251.970,251.97],[new Date(“2018-03-22”),253.070,253.07],[new Date(“2018-03-23”),253.070,253.07],[new Date(“2018-03-24”),253.070,253.07],[new Date(“2018-03-25”),253.150,253.15],[new Date(“2018-03-26”),250.980,250.98],[new Date(“2018-03-27”),251.890,251.89],[new Date(“2018-03-28”),253.660,253.66],[new Date(“2018-03-29”),253.590,253.59],[new Date(“2018-03-30”),253.480,253.48],[new Date(“2018-03-31″),253.480,253.48],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}

February, 2018

01      247.0700
02      248.4600
↘1.390, 0.56%
03      248.4600
→0.000, 0.00%
04      248.6100
↘0.150, 0.06%
05      250.5800
↘1.970, 0.79%
06      250.0600
↗0.520, 0.21%
07      252.8900
↘2.830, 1.13%
08      253.7200
↘0.830, 0.33%
09      254.6700
↘0.950, 0.37%
10      254.6700
→0.000, 0.00%
11      254.6700
→0.000, 0.00%
12      253.3100
↗1.360, 0.53%
13      252.3800
↗0.930, 0.37%
14      250.1500
↗2.230, 0.88%
15      248.8700
↗1.280, 0.51%
16      250.7300
↘1.860, 0.75%
17      250.7300
→0.000, 0.00%
18      250.7400
↘0.010, 0.00%
19      250.8100
↘0.070, 0.03%
20      252.6700
↘1.860, 0.74%
21      254.1400
↘1.470, 0.58%
22      253.6100
↗0.530, 0.21%
23      254.3200
↘0.710, 0.28%
24      254.3200
→0.000, 0.00%
25      254.6000
↘0.280, 0.11%
26      254.5400
↗0.060, 0.02%
27      256.6600
↘2.120, 0.83%
28      257.2600
↘0.600, 0.23%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-02-01”),247.070,247.07],[new Date(“2018-02-02”),248.460,248.46],[new Date(“2018-02-03”),248.460,248.46],[new Date(“2018-02-04”),248.610,248.61],[new Date(“2018-02-05”),250.580,250.58],[new Date(“2018-02-06”),250.060,250.06],[new Date(“2018-02-07”),252.890,252.89],[new Date(“2018-02-08”),253.720,253.72],[new Date(“2018-02-09”),254.670,254.67],[new Date(“2018-02-10”),254.670,254.67],[new Date(“2018-02-11”),254.670,254.67],[new Date(“2018-02-12”),253.310,253.31],[new Date(“2018-02-13”),252.380,252.38],[new Date(“2018-02-14”),250.150,250.15],[new Date(“2018-02-15”),248.870,248.87],[new Date(“2018-02-16”),250.730,250.73],[new Date(“2018-02-17”),250.730,250.73],[new Date(“2018-02-18”),250.740,250.74],[new Date(“2018-02-19”),250.810,250.81],[new Date(“2018-02-20”),252.670,252.67],[new Date(“2018-02-21”),254.140,254.14],[new Date(“2018-02-22”),253.610,253.61],[new Date(“2018-02-23”),254.320,254.32],[new Date(“2018-02-24”),254.320,254.32],[new Date(“2018-02-25”),254.600,254.60],[new Date(“2018-02-26”),254.540,254.54],[new Date(“2018-02-27”),256.660,256.66],[new Date(“2018-02-28″),257.260,257.26],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}

January, 2018

01      258.3500
02      256.1000
↗2.250, 0.87%
03      256.7000
↘0.600, 0.23%
04      255.1300
↗1.570, 0.61%
05      255.8000
↘0.670, 0.26%
06      255.8000
→0.000, 0.00%
07      256.0200
↘0.220, 0.09%
08      257.9100
↘1.890, 0.74%
09      259.2700
↘1.360, 0.53%
10      258.6200
↗0.650, 0.25%
11      256.2000
↗2.420, 0.94%
12      253.1100
↗3.090, 1.21%
13      253.1100
→0.000, 0.00%
14      253.1700
↘0.060, 0.02%
15      251.3700
↗1.800, 0.71%
16      251.3300
↗0.040, 0.02%
17      253.0100
↘1.680, 0.67%
18      251.8200
↗1.190, 0.47%
19      252.7400
↘0.920, 0.37%
20      252.7400
→0.000, 0.00%
21      252.0900
↗0.650, 0.26%
22      252.3900
↘0.300, 0.12%
23      251.0600
↗1.330, 0.53%
24      249.5300
↗1.530, 0.61%
25      249.3100
↗0.220, 0.09%
26      248.7900
↗0.520, 0.21%
27      248.7900
→0.000, 0.00%
28      248.7400
↗0.050, 0.02%
29      250.3000
↘1.560, 0.63%
30      250.3000
→0.000, 0.00%
31      249.4300
↗0.870, 0.35%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2018-01-01”),258.350,258.35],[new Date(“2018-01-02”),256.100,256.10],[new Date(“2018-01-03”),256.700,256.70],[new Date(“2018-01-04”),255.130,255.13],[new Date(“2018-01-05”),255.800,255.80],[new Date(“2018-01-06”),255.800,255.80],[new Date(“2018-01-07”),256.020,256.02],[new Date(“2018-01-08”),257.910,257.91],[new Date(“2018-01-09”),259.270,259.27],[new Date(“2018-01-10”),258.620,258.62],[new Date(“2018-01-11”),256.200,256.20],[new Date(“2018-01-12”),253.110,253.11],[new Date(“2018-01-13”),253.110,253.11],[new Date(“2018-01-14”),253.170,253.17],[new Date(“2018-01-15”),251.370,251.37],[new Date(“2018-01-16”),251.330,251.33],[new Date(“2018-01-17”),253.010,253.01],[new Date(“2018-01-18”),251.820,251.82],[new Date(“2018-01-19”),252.740,252.74],[new Date(“2018-01-20”),252.740,252.74],[new Date(“2018-01-21”),252.090,252.09],[new Date(“2018-01-22”),252.390,252.39],[new Date(“2018-01-23”),251.060,251.06],[new Date(“2018-01-24”),249.530,249.53],[new Date(“2018-01-25”),249.310,249.31],[new Date(“2018-01-26”),248.790,248.79],[new Date(“2018-01-27”),248.790,248.79],[new Date(“2018-01-28”),248.740,248.74],[new Date(“2018-01-29”),250.300,250.30],[new Date(“2018-01-30”),250.300,250.30],[new Date(“2018-01-31″),249.430,249.43],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_1’));
chart.draw(data, options);
}