#!/usr/bin/env python
# coding: utf-8

# - [fibonacci retracement](https://en.wikipedia.org/wiki/Fibonacci_retracement)

# In[2]:


import pandas_datareader
from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')


# In[3]:


intc = pandas_datareader.DataReader('INTC',  'yahoo',
                                   datetime(2000, 1, 1),
                                   datetime.now())


amd = pandas_datareader.DataReader('AMD',  'yahoo', 
                                   datetime(2000, 1, 1),
                                   datetime.now())

nvda = pandas_datareader.DataReader('NVDA',  'yahoo', 
                                   datetime(2000, 1, 1),
                                   datetime.now())


# In[9]:


qcom = pandas_datareader.DataReader('QCOM',  'yahoo', 
                                   datetime(2000, 1, 1),
                                   datetime.now())

avgo = pandas_datareader.DataReader('AVGO',  'yahoo', 
                                   datetime(2000, 1, 1),
                                   datetime.now())


# In[6]:


snp = pandas_datareader.DataReader('^GSPC',  'yahoo', 
                                   datetime(2000, 1, 1),
                                   datetime.now())


# In[7]:


# sep07 = datetime(2007, 8, 15)
# # intc.loc['2015-02-12']
# intc.loc[sep07]


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t0 = datetime(2005, 6, 1)
t1 = datetime(2008, 6, 1)

plt.plot(intc.loc[t0:t1].index, intc.loc[t0:t1].Close, c='c', label='INTC')
plt.plot(amd.loc[t0:t1].index, amd.loc[t0:t1].Close, c='m', label='AMD')
plt.plot(nvda.loc[t0:t1].index, nvda.loc[t0:t1].Close, c='y', label='NVDA')
plt.plot(qcom.loc[t0:t1].index, qcom.loc[t0:t1].Close, c='b', label='QCOM')
plt.plot(avgo.loc[t0:t1].index, avgo.loc[t0:t1].Close, c='r', label='AVGO')

plt.legend()
plt.xticks(rotation=45)
plt.grid(True)


# In[12]:


t0 = datetime(2014, 6, 1)
t1 = datetime(2018, 6, 1)

plt.plot(intc.loc[t0:t1].index, intc.loc[t0:t1].Close, c='c', label='INTC')
plt.plot(amd.loc[t0:t1].index, amd.loc[t0:t1].Close, c='m', label='AMD')
plt.plot(nvda.loc[t0:t1].index, nvda.loc[t0:t1].Close, c='y', label='NVDA')
plt.plot(qcom.loc[t0:t1].index, qcom.loc[t0:t1].Close, c='b', label='QCOM')
plt.plot(avgo.loc[t0:t1].index, avgo.loc[t0:t1].Close, c='r', label='AVGO')

plt.legend()
plt.xticks(rotation=45)
plt.grid(True)


# In[93]:


plt.plot(snp.loc[t0:t1].index, snp.loc[t0:t1].Close.apply(lambda x: x/snp.Close.mean()),
         c='orange', label='^GSPC')

plt.legend()
plt.xticks(rotation=45)
plt.grid(True)


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