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#include <fstream>
#include <string>
#include <vector>

#include <ctime>
#include <cstdlib>
#include <iostream>
#include "kdtree.h"
using namespace std;

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#include "kdtree.h"
#include <iostream>
// コンストラクタ
KDTree::KDTree() 
{
	build_index({});
}
// コンストラクタ
KDTree::KDTree(const vector<PointCloud_Point>& pts)
{	

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#pragma once

#include <memory>
#include <unordered_map>
#include "pointcloud.h"
#include "nanoflann.hpp"

using namespace std;
using namespace nanoflann;

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struct PointCloud_Point
{
	size_t id;
	double  x, y;
	PointCloud_Point() :id(0), x(0.0), y(0.0) {};
	PointCloud_Point(const size_t id, const double x, const double y) : id(id), x(x), y(y) {};
	PointCloud_Point(const PointCloud_Point& pt) :id(pt.id), x(pt.x), y(pt.y) {};
};

struct PointCloud

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from matplotlib.pylab import  figure, plot, title, xlabel, ylabel, xlim,show

import numpy as np
from pprint import pprint
import math
from onlineregression import OnlineRegression

def draw_plot(arr_x,arr_y,plot_title):
	plot(arr_x,arr_y,'bo-')
	title(plot_title)

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# -*- coding: utf-8 -*-

# データ
arr_x=[0, 1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,9 ,10,11,12]
arr_y=[20,25,40,35,50,40,35,30,25,30,45,40,50]

sz=len(arr_x)
# グラフを格納する辞書
data=dict()
# インデックス

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# -*- coding: utf-8 -*-
import math

class OnlineRegression():

  def __init__(self):
    self.n=0
    self.x=0.0
    self.y=0.0
    self.xx=0.0

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<?php

$data;
$arr=array(
0,0.3987527,-0.8932547,0.1768298,-1.675824,-2.837438,-2.355524,-1.252398,-2.899442,-2.419981,-2.091308,-2.10021,-2.714076,-3.625284,-3.592246,-2.441939,-3.843519,-4.990552,-3.515711,-4.657077,-7.364385,-7.658229,-7.499073,-7.562957,-8.481097,-8.252456,-8.464059,-7.580894,-7.210767,-6.445776,-6.008003,-5.500024,-4.63942,-6.790132,-6.419145,-7.802707,-7.596067,-6.33891,-6.690298,-7.485143,-7.644236,-6.111133,-5.882926,-5.647768,-6.127489,-6.66978,-6.871189,-8.511509,-7.466892,-7.792628,-9.821345,-10.05553,-10.42828,-12.32344,-10.51485,-11.57175,-13.00084,-12.73021,-11.76026,-11.89079,-11.64385,-12.71155,-11.84579,-11.49114,-11.33376,-10.54172,-9.44159,-10.01351,-9.509508,-10.437,-8.269219,-7.62659,-7.505197,-7.904896,-8.12006,-9.240085,-9.298025,-8.780998,-9.275904,-10.12872,-11.86345,-11.52073,-11.26576,-11.491,-12.07157,-11.88601,-13.27906,-14.90004,-16.58147,-17.229,-16.64617,-15.97717,-16.49825,-15.11031,-16.1323,-16.66544,-17.47197,-17.43013,-19.23583,-18.25882,-17.05801,-15.96338

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// EWMAC Trading ///////////////////
#include <profile.c>

function run()
{
	//+----------------------------------------------+
	//| Settings                                     |
	//+----------------------------------------------+
	// simulation period 2010-2016
	StartDate = 2010;

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# -*- coding: utf-8 -*-
"""
This file shows how to calculate the EWMAC trading rule for crude oil futures

As in chapter 7 / appendix B of "Systematic Trading" by Robert Carver (www.systematictrading.org)

Required: pandas, matplotlib

USE AT YOUR OWN RISK! No warranty is provided or implied.