import time
import datetime
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import matplotlib.dates as mdates
from matplotlib.finance import candlestick
import matplotlib
import pylab
matplotlib.rcParams.update({'font.size': 9})


eachStock = 'EBAY','TSLA','AAPL'

def rsiFunc(prices, n=14):
    deltas = np.diff(prices)
    seed = deltas[:n+1]
    up = seed[seed>=0].sum()/n
    down = -seed[seed<0].sum()/n
    rs = up/down
    rsi = np.zeros_like(prices)
    rsi[:n] = 100. - 100./(1.+rs)

    for i in range(n, len(prices)):
        delta = deltas[i-1]
        if delta > 0:
            upval = delta
            downval = 0.

        else:
            upval = 0
            downval = -delta

        up = (up*(n-1)+upval)/n
        down = (down*(n-1)+downval)/n

        rs = up/down
        rsi[i] = 100. - 100./(1.+rs)
    return rsi


def movingaverage(values,window):
    weights = np.repeat(1.0, window)/window
    smas = np.convolve(values, weights, 'valid')
    return smas

def ExpMovingAverage(values,window):
    weights = np.exp(np.linspace(-1., 0., window))
    weights /= weights.sum()
    a = np.convolve(values, weights, mode='full')[:len(values)]
    a[:window] = a[window]
    return a

def computeMACD(x, slow=26, fast=12):
    '''
    macd line = 12ema - 26 ema
    signal line = 9ema of the macd line
    histogram = macd line - signal line
    '''
    emaslow = ExpMovingAverage(x, slow)
    emafast = ExpMovingAverage(x, fast)
    return emaslow, emafast, emafast-emaslow



def graphData(stock,MA1,MA2):
    try:
        try:
            print 'pulling data on',stock
            urlToVisit = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=3y/csv'
            stockFile = []
            try:
                sourceCode = urllib2.urlopen(urlToVisit).read()
                splitSource = sourceCode.split('\n')
                for eachLine in splitSource:
                    splitLine = eachLine.split(',')
                    if len(splitLine)==6:
                        if 'values' not in eachLine:
                            stockFile.append(eachLine)


            except Exception, e:
                print str(e),'failed to organize pulled data'


        except Exception, e:
            print str(e),'failed to pull price data'

        date, closep, highp, lowp, openp, volume = np.loadtxt(stockFile,delimiter=',',unpack=True,

                                                              converters={ 0: mdates.strpdate2num('%Y%m%d')})
        x = 0
        y = len(date)
        newAr = []
        while x < y:
            appendLine = date[x],openp[x],closep[x],highp[x],lowp[x],volume[x]
            newAr.append(appendLine)
            x+=1


        Av1 = movingaverage(closep, MA1)
        Av2 = movingaverage(closep, MA2)

        SP = len(date[MA2-1:])

        fig = plt.figure(facecolor='#07000d')





        ax1 = plt.subplot2grid((6,4), (1,0), rowspan=4, colspan=4, axisbg='#07000d')
        candlestick(ax1, newAr[-SP:], width=.6, colorup='#53C156', colordown='#ff1717')

        Label1 = str(MA1)+' SMA'
        Label2 = str(MA2)+' SMA'
        ax1.plot(date[-SP:],Av1[-SP:],'#e1edf9',label=Label1, linewidth=1.5)
        ax1.plot(date[-SP:],Av2[-SP:],'#4ee6fd',label=Label2, linewidth=1.5)


        ax1.grid(True, color='w')
        ax1.xaxis.set_major_locator(mticker.MaxNLocator(10))
        ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
        plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='upper'))
        ax1.yaxis.label.set_color('w')
        ax1.spines['bottom'].set_color('#5998ff')
        ax1.spines['top'].set_color('#5998ff')
        ax1.spines['left'].set_color('#5998ff')
        ax1.spines['right'].set_color('#5998ff')
        ax1.tick_params(axis='y', colors='w')
        ax1.tick_params(axis='x', colors='w')
        plt.ylabel('Stock Price and Volume')





        maLeg = plt.legend(loc=9, ncol=2, prop={'size':7},
                    fancybox=True, borderaxespad=0.)
        maLeg.get_frame().set_alpha(0.4)
        textEd = pylab.gca().get_legend().get_texts()
        pylab.setp(textEd[0:5], color = 'w')


        ax0 = plt.subplot2grid((6,4), (0,0), sharex=ax1, rowspan=1, colspan=4, axisbg='#07000d')
        rsi = rsiFunc(closep)
        rsiCol = '#c1f9f7'
        posCol = '#386d13'
        negCol = '#8f2020'
        ax0.plot(date[-SP:],rsi[-SP:],rsiCol,linewidth=1.5)
        ax0.axhline(70, color = negCol)
        ax0.axhline(30, color = posCol)
        ax0.fill_between(date[-SP:],rsi[-SP:], 70, where=(rsi[-SP:]>=70), facecolor=negCol, edgecolor=negCol)
        ax0.fill_between(date[-SP:],rsi[-SP:], 30, where=(rsi[-SP:]<=30), facecolor=posCol, edgecolor=posCol)
        ax0.spines['bottom'].set_color('#5998ff')
        ax0.spines['top'].set_color('#5998ff')
        ax0.spines['left'].set_color('#5998ff')
        ax0.spines['right'].set_color('#5998ff')
        ax0.text(0.015, 0.95, 'RSI (14)', va='top', color='w', transform=ax0.transAxes)
        ax0.tick_params(axis='x', colors='w')
        ax0.tick_params(axis='y', colors='w')
        ax0.set_yticks([30,70])
        ax0.yaxis.label.set_color('w')
        #plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='lower'))



        volumeMin = 0

        ax1v = ax1.twinx()
        ax1v.fill_between(date[-SP:],volumeMin, volume[-SP:], facecolor='#00ffe8', alpha=.5)
        ax1v.axes.yaxis.set_ticklabels([])
        ax1v.grid(False)
        ax1v.spines['bottom'].set_color('#5998ff')
        ax1v.spines['top'].set_color('#5998ff')
        ax1v.spines['left'].set_color('#5998ff')
        ax1v.spines['right'].set_color('#5998ff')
        ax1v.set_ylim(0, 2*volume.max())
        ax1v.tick_params(axis='x', colors='w')
        ax1v.tick_params(axis='y', colors='w')



        ax2 = plt.subplot2grid((6,4), (5,0), sharex=ax1, rowspan=1, colspan=4, axisbg='#07000d')
        fillcolor = '#00ffe8'
        nslow = 26
        nfast = 12
        nema = 9

        emaslow, emafast, macd = computeMACD(closep)
        ema9 = ExpMovingAverage(macd, nema)

        ax2.plot(date[-SP:], macd[-SP:], color='#4ee6fd', lw=2)
        ax2.plot(date[-SP:], ema9[-SP:], color='#e1edf9', lw=1)
        ax2.text(0.015, 0.95, 'MACD 12,26,9', va='top', color='w', transform=ax2.transAxes)
        ax2.fill_between(date[-SP:], macd[-SP]-ema9[-SP:], 0, alpha=0.5, facecolor=fillcolor, edgecolor=fillcolor)
        ax2.spines['bottom'].set_color('#5998ff')
        ax2.spines['top'].set_color('#5998ff')
        ax2.spines['left'].set_color('#5998ff')
        ax2.spines['right'].set_color('#5998ff')
        ax2.tick_params(axis='x', colors='w')
        ax2.tick_params(axis='y', colors='w')
        plt.gca().yaxis.set_major_locator(mticker.MaxNLocator(prune='upper'))
        ax2.yaxis.set_major_locator(mticker.MaxNLocator(nbins=5, prune='upper'))


        for label in ax2.xaxis.get_ticklabels():
            label.set_rotation(45)





        plt.suptitle(stock,color='w')

        plt.setp(ax0.get_xticklabels(), visible=False)
        plt.setp(ax1.get_xticklabels(), visible=False)

        plt.subplots_adjust(left=.09, bottom=.14, right=.94, top=.95, wspace=.20, hspace=0)
        plt.show()
        fig.savefig('example.png',facecolor=fig.get_facecolor())




    except Exception, e:
        print 'failed main loop',str(e)

while True:
    stockToUse = raw_input('Stock to chart: ')
    graphData(stockToUse,20,200)