visualising-data.md

The first thing we need to do is go ahead and plot this data out to see what we're working with, and see what our goals are.

It's a good idea to get comfortable with visualizing data in Python.

visualization part-1

import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib.dates import bytespdate2num
import numpy as np
from matplotlib import style
style.use("ggplot")

def graphRawFX():
    date,bid,ask = np.loadtxt('GBPUSD1d.txt', unpack=True,
                              delimiter=',',
                              converters={0:mdates.bytespdate2num('%Y%m%d%H%M%S')})
    fig = plt.figure(figsize=(10,7))
    ax1 = plt.subplot2grid((40,40), (0,0), rowspan=40, colspan=40)
    ax1.plot(date,bid)
    ax1.plot(date,ask)
    ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
    for label in ax1.xaxis.get_ticklabels():
            label.set_rotation(45)
    plt.subplots_adjust(bottom=.23)
    plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
    plt.grid(True)
    plt.show()
graphRawFX()

visualization part-2

import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib.dates import bytespdate2num
import numpy as np
from matplotlib import style
style.use("ggplot")

def graphRawFX():
    date,bid,ask = np.loadtxt('GBPUSD1d.txt', unpack=True,
                              delimiter=',',
                              converters={0:mdates.bytespdate2num('%Y%m%d%H%M%S')})
    fig = plt.figure(figsize=(10,7))
    ax1 = plt.subplot2grid((40,40), (0,0), rowspan=40, colspan=40)
    ax1.plot(date,bid)
    ax1.plot(date,ask)
    ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d %H:%M:%S'))
    plt.grid(True)
    for label in ax1.xaxis.get_ticklabels():
            label.set_rotation(45)
    plt.subplots_adjust(bottom=.23)
    plt.gca().get_yaxis().get_major_formatter().set_useOffset(False)
    ax1_2 =ax1.twinx()
    ax1_2.fill_between(date, 0, (ask-bid), facecolor='g',alpha=.3)
    plt.subplots_adjust(bottom=.23)
    plt.show()
graphRawFX()