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Stock/pandas_eval.py
T
jens 72c17e5d05 Initial import
git-svn-id: http://moon:8086/svn/projects/Stock@291 fda53097-d464-4ada-af97-ba876c37ca34
2019-12-08 17:48:30 +00:00

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837 B
Python

import pandas as pd
import numpy as np
import math
import matplotlib.pyplot as plt
# https://www.fmlabs.com/reference/default.htm?url=SimpleMA.htm
def sin(f, a, N):
result = np.empty(0)
for n in range(0, N):
v = a*math.sin(2*math.pi*f*n/N)
result = np.append(result, v)
return result
def ema(data, alpha=0.75):
result = np.empty(0)
r = data[0]
for v in data:
r = alpha*r + (1-alpha)*v
result = np.append(result, r)
return result
def macd(data):
ema_short = ema(data, alpha=0.85)
ema_long = ema(data, alpha=0.925)
return ema_short - ema_long
pd_data = pd.read_csv("aapl.csv", names=['Dates', 'Price'])
np_data = np.flip(pd_data['Price'].to_numpy())
a = sin(2, 1, 100)
plt.plot(np_data, label='Price')
plt.plot(ema(np_data), label='EMA')
plt.plot(macd(np_data), label='MACD')
plt.legend()
plt.grid()
plt.show()