@RequestMapping(value = "/Regression", method = RequestMethod.POST)
public String regression(
ModelMap model,
HttpServletRequest request,
@Valid stocksearchhelper StockSearchHelper,
BindingResult result)
throws MalformedURLException, IOException {
if (result.hasErrors()) {
model.addAttribute("re", "Please Check the Values Entered");
model.addAttribute("StockSearchHelper", new stocksearchhelper());
model.addAttribute("CompanyName", new CompanyReports());
List<stock> x = stockServiceInterface.liststock("NASDAQ");
List<stock> y = stockServiceInterface.liststock("NASDAQCOMPOSITE");
List<stock> z = stockServiceInterface.liststock("DOWJONES");
List<stock> a = stockServiceInterface.liststock("GOLD");
List<stock> b = stockServiceInterface.liststock("SANDP");
List<stock> c = stockServiceInterface.liststock("OIL");
model.addAttribute("NASDAQ", x.get(0).getPrice());
model.addAttribute("NASDAQCOMPOSITE", y.get(0).getPrice());
model.addAttribute("DOWJONES", z.get(0).getPrice());
model.addAttribute("GOLD", a.get(0).getPrice());
model.addAttribute("SANDP", b.get(0).getPrice());
model.addAttribute("OIL", c.get(0).getPrice());
List<TopPerformers> opds1 = topPerformerServiceInterface.liststock();
model.addAttribute("first", opds1.get(0).getTickerCode());
model.addAttribute("second", opds1.get(1).getTickerCode());
model.addAttribute("third", opds1.get(2).getTickerCode());
model.addAttribute("fourth", opds1.get(3).getTickerCode());
return "ClientHome";
} else {
String symbol = StockSearchHelper.getName();
statistics s = statisticServiceInterface.refreshStockInfo(symbol);
// System.out.println("apple"+s.getRsquare());
double[] x = s.getX();
double[] y = new double[20];
for (int i = 0; i < y.length; i++) {
y[i] = x[i] / 10;
}
// Data data = Data.newData(y);
Line line1 = Plots.newLine(Data.newData(y), Color.newColor("CA3D05"), "Trend");
line1.setLineStyle(LineStyle.newLineStyle(3, 1, 0));
line1.addShapeMarkers(Shape.DIAMOND, Color.newColor("CA3D05"), 12);
line1.addShapeMarkers(Shape.DIAMOND, Color.WHITE, 8);
LineChart chart = GCharts.newLineChart(line1);
chart.setSize(600, 450);
chart.setTitle("Market Trend|(in 100's)", Color.WHITE, 14);
AxisLabels yAxis = AxisLabelsFactory.newAxisLabels("", "1", "2", "3", "4");
AxisLabels xAxis3 = AxisLabelsFactory.newAxisLabels("Weeks", 25.0);
xAxis3.setAxisStyle(AxisStyle.newAxisStyle(Color.WHITE, 14, AxisTextAlignment.CENTER));
yAxis.setAxisStyle(AxisStyle.newAxisStyle(Color.WHITE, 14, AxisTextAlignment.CENTER));
chart.setBackgroundFill(Fills.newSolidFill(Color.newColor("1F1D1D")));
LinearGradientFill fill = Fills.newLinearGradientFill(0, Color.newColor("363433"), 100);
fill.addColorAndOffset(Color.newColor("2E2B2A"), 0);
chart.setAreaFill(fill);
chart.addXAxisLabels(yAxis);
chart.addXAxisLabels(xAxis3);
String url = chart.toURLString();
// Passing the chart to the JSP for rendering.
model.addAttribute("url", chart.toURLString());
model.addAttribute("Statistics", s);
long currentTime = (new Date()).getTime();
// long
try {
URL yahoofin =
new URL("http://finance.yahoo.com/d/quotes.csv?s=" + symbol + "&f=e7e8e9r6r7&e=.csv");
URLConnection yc = yahoofin.openConnection();
BufferedReader in = new BufferedReader(new InputStreamReader(yc.getInputStream()));
String inputLine;
while ((inputLine = in.readLine()) != null) {
String[] yahooStockInfo = inputLine.split(",");
model.addAttribute("epsestimatecurrentyear", Float.valueOf(yahooStockInfo[0]));
model.addAttribute("epsestimatenextyear", Float.valueOf(yahooStockInfo[1]));
model.addAttribute("epsestimatenextquarter", Float.valueOf(yahooStockInfo[2]));
model.addAttribute("pricesestimatecurrentyear", Float.valueOf(yahooStockInfo[3]));
model.addAttribute("priceestimatenextyear", Float.valueOf(yahooStockInfo[4]));
break;
}
in.close();
return "statisticanalysis";
} catch (Exception ex) {
}
return "statisticanalysis";
}
}
public String draw(String title, Map<String, List<Double>> data, List<String> xLabels) {
/*
Scale values
*/
Double maxValue = Double.MIN_VALUE;
Double minValue = Double.MAX_VALUE;
for (List<Double> doubles : data.values()) {
for (Double d : doubles) {
maxValue = Math.max(d, maxValue);
minValue = Math.min(d, minValue);
}
}
double k = 100.0 / maxValue;
HashMap<String, List<Double>> scaled = new HashMap<>();
for (Map.Entry<String, List<Double>> entry : data.entrySet()) {
List<Double> value = new ArrayList<>();
for (Double next : entry.getValue()) {
value.add(next * k);
}
scaled.put(entry.getKey(), value);
}
data = scaled;
Random rnd = new Random(42);
// Defining lines
ArrayList<Line> lines = new ArrayList<>();
for (Map.Entry<String, List<Double>> entry : data.entrySet()) {
Color color =
Color.newColor(
String.format("%02X%02X%02X", rnd.nextInt(256), rnd.nextInt(256), rnd.nextInt(256)));
Line line = Plots.newLine(Data.newData(entry.getValue()), color, entry.getKey());
line.setLineStyle(LineStyle.newLineStyle(3, 1, 0));
line.addShapeMarkers(Shape.DIAMOND, color, 12);
line.addShapeMarkers(Shape.DIAMOND, Color.WHITE, 8);
lines.add(line);
}
// Defining chart.
LineChart chart = GCharts.newLineChart(lines);
chart.setSize(600, 450);
chart.setTitle(title, WHITE, 14);
int stepCount = 5;
chart.setGrid(100 / stepCount, 100 / stepCount, 3, 3);
// Defining axis info and styles
// Make x axis
AxisStyle axisStyle = AxisStyle.newAxisStyle(WHITE, 12, AxisTextAlignment.CENTER);
AxisLabels xAxis = AxisLabelsFactory.newAxisLabels(xLabels);
xAxis.setAxisStyle(axisStyle);
// Calculate y axis labels
List<String> yLabels = new ArrayList<>();
for (int i = 0; i <= stepCount; i++) {
yLabels.add(String.valueOf(maxValue / stepCount * i));
}
AxisLabels yAxis = AxisLabelsFactory.newAxisLabels(yLabels);
yAxis.setAxisStyle(axisStyle);
// Adding axis info to chart.
chart.addXAxisLabels(xAxis);
chart.addYAxisLabels(yAxis);
// Defining background and chart fills.
chart.setBackgroundFill(Fills.newSolidFill(Color.newColor("1F1D1D")));
LinearGradientFill fill = Fills.newLinearGradientFill(0, Color.newColor("363433"), 100);
fill.addColorAndOffset(Color.newColor("2E2B2A"), 0);
chart.setAreaFill(fill);
return chart.toURLString();
}