AI_Trade_Model

matplotlib.pyplot AS PLT Import 
from matplotlib.animation Import FuncAnimation 
from the deque Collections Import 

# coordinate fig, ax = plt.subplots () is equivalent to the fig, ax = plt.subplots (11) . 
"" " 
Fig plt.figure = () 
matpltlib.pyplot.figure ( 
NUM = None, # figure set name. Default ascending numerical order named figure_num (pivot table output window) eg" figure1 ". Can set their own figure name, or the name of INT, str or type; 
figsize = None, size # figure set default command rcParams [ "figure.fig.size"] = [ 6.4, 4.8], i.e., length and width of 6.4 * figure. 4.8; 
dpi = None, # figure pixel density setting command is the default system rcParams [ "sigure.dpi"] = 100;. 
facecolor = None, # figure set default background color command rcParams [ "figure.facecolor". ] = 'w', i.e. white white;
edgecolor = None, frameon = True, # set not to draw the outline & contour colors. Default drawing contour, dyeing rcParams [ "figure.edgecolor"] = ' w', i.e., white White; 
FigureClass = <class 'matplotlib.figure.Figure'>, # is set so as not to use a figure template. The system default is not used; 
Clear = False, setting # figure when the same name exists, whether to replace it. Default False, that is not replaced. 
kwargs **) 
the subplot (1,2,1) 
Plot (X, Y, 'r--') 
the subplot (1,2,2) 
Plot (Y, X, 'G * -') 
"" " 

# Fig, ax = plt.subplots () is equivalent to the following two 
# Fig plt.figure = () 
# fig.add_subplot AX = (. 1,. 1,. 1) 
# 12 wherein the parameters represent the number of rows and columns of the sub-picture number, a total of 1x1 sub-images, when there is no default parameter a. 
Fig, plt.subplots AX = (1,1) 

# data source 
f = open ( "C: / Users / Cheung /Desktop/USDJPY240.csv", "r"








d = 0
global prev
prev = 0

scale = 1.0
queue = deque([(0, 0)])

for line in f:
    #print(line)
    values = line.split(",")
    price = float(values[5].strip())
    if prev == 0:
        queue.append((x, price))
        prev = price
    elif d == 0 and price > prev:
        queue.append((x, price))
        prev = price
    elif d == 0 and price <= prev:
        if (prev - price) >= scale:
            d = 1
            x = x + 1
            queue.append((x, prev))
            queue.append((x, price))
            prev = price
            
    elif d == 1 and price < prev:
        queue.append((x, price))
        prev = price
    elif d == 1 and price >= prev:
        if (price - prev) >= scale:
            d = 0
            x = x + 1
            queue.append((x, prev))
            queue.append((x, price))
            prev = price


def init():
    ax.set_xlim(0, 100)
    ax.set_ylim(60, 100)
    return ax.plot([], [], "r-", animated=False)


def update(frame):
    print(frame)
    xdate.append(frame[0])
    ydate.append(frame[1])
    return ax.plot(xdate, ydate, "r-", animated=False)


ani = FuncAnimation(fig, update, frames=queue,
                    init_func=init, blit=True, repeat=False)

plt.show()