EURGBP_array = {}
EURUSD_array = {}
USDJPY_array = {}
EURJPY_array = {}
GBPUSD_array = {}
GBPJPY_array = {}


f = open('EURGBP.csv', 'r')
for i in f:
    dele = i.split(',')
    EURGBP_array[dele[0]] = dele[5]
f.close()

f = open('EURUSD.csv','r')
for i in f:
    dele = i.split(',')
    EURUSD_array[dele[0]] = dele[5]

f = open('USDJPY.csv', 'r')
for i in f:
    dele = i.split(',')
    USDJPY_array[dele[0]] = dele[5]
f.close

f = open('EURJPY.csv', 'r')
for i in f:
    dele = i.split(',')
    EURJPY_array[dele[0]] = dele[5]
f.close()

f = open('GBPUSD.csv', 'r')
for i in f:
    dele = i.split(',')
    GBPUSD_array[dele[0]] = dele[5]
f.close

f = open('GBPJPY.csv', 'r')
for i in f:
    dele = i.split(',')
    GBPJPY_array[dele[0]] = dele[5]
f.close()

#date = input()

#print('EURUSD', EURUSD_array[date])
#print('USDJPY', USDJPY_array[date])
#print('EURJPY', EURJPY_array[date])
#print('GBPUSD', GBPUSD_array[date])
#print('EURGBP', EURGBP_array[date])
#print('GBPJPY', GBPJPY_array[date])



import matplotlib.pyplot as plt
fig, ax = plt.subplots()
length_array = len(EURUSD_array)
date = [i for i in range(1, length_array +1)]

count_EURUSD = []
for i in EURUSD_array:
    count_EURUSD.append(float(EURUSD_array[i]))

count_EURGBP = []
for i in EURGBP_array:
    count_EURGBP.append(EURGBP_array[i])

count_USDJPY = []
for i in USDJPY_array:
    count_USDJPY.append(USDJPY_array[i])

count_EURJPY = []
for i in EURJPY_array:
    count_EURJPY.append(EURJPY_array[i])

count_GBPUSD = []
for i in GBPUSD_array:
    count_GBPUSD.append(GBPUSD_array[i])

count_GBPJPY = []
for i in GBPJPY_array:
    count_GBPJPY.append(GBPJPY_array[i])

for i in count_EURUSD:
    print(i)
print('----')


count_EURUSD_SLOW = []
for i in range(3, len(count_EURUSD)):
    local_sum =str((float(count_EURUSD[i]) + float(count_EURUSD[i-1]) + float(count_EURUSD[i-2]))/3)
    local_sum = local_sum[0:7]
    s = float(local_sum)
    count_EURUSD_SLOW.append(s)

#for i in range(3):
#    count_EURUSD_SLOW.insert(0, 0);



count_EURUSD_FAST = []
for i in range(5, len(count_EURUSD)):
    local_sum = str((float(count_EURUSD[i]) + float(count_EURUSD[i-1]) + float(count_EURUSD[i-2]) + float(count_EURUSD[i-3]) + float(count_EURUSD[i-4]))/5)
    local_sum = local_sum[0:7]
    s = float(local_sum)
    count_EURUSD_FAST.append(s)

#for i in range(5):
#    count_EURUSD_FAST.insert(0, 0)


date_cut_slow = [i for i in range(4, len(EURUSD_array) + 1)]
date_cut_fast = [i for i in range(6, len(EURUSD_array) + 1)]


g1 = plt.plot(date, count_EURUSD)
g2 = plt.plot(date_cut_slow, count_EURUSD_SLOW, label = "fast ma")
g3 = plt.plot(date_cut_fast, count_EURUSD_FAST, label = "slow ma")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.legend()

plt.show()