import matplotlib.pyplot as plt
from stocksignals.calc_moving_avg import moving_average as ma
import pandas as pd
[docs]def plot_ma_200days(stock):
"""
Plot stock price and corresponding 200 day moving average.
Parameters
----------
stock : string
name of the stock for which the plot is created
Returns
--------
Matplotlib chart
A line chart showing price data and corresponding 200 day
moving average line for a stock.
Examples
--------
>>> plot_ma_200days("MSFT")
"""
data = pd.read_csv('../../data/'+stock+'.csv')
data["Date"] = pd.to_datetime(data["Date"], utc=True).dt.date
mov_avg = ma(stock, 200) # always going to be 200
plt.figure(figsize=(8,6))
plt.plot(data.iloc[-200:, 0], # date
data.iloc[-200:, 4], "b-", label='Price') # close
plt.plot(mov_avg.iloc[-200:, 0],
mov_avg.iloc[-200:, 1], "r--", label = '200-days SMA')
plt.xticks(rotation=90)
plt.xlabel("Date (YY-MM-DD)")
plt.ylabel("Closing Price (USD)")
plt.title("200 day moving average vs closing price")
plt.legend()
plt.show()