In this one we'll cover how we can plot two technical indicator series in the same plot using alpha vantage api, python, and matplotlib.

We'll work with a simple moving average and a relative strength index in this video.

#Python #StockMarket #tutorial

Here's a repo that has more alpha vantage examples to try out:
https://github.com/Derrick-Sherrill/alpha-vantage-examples

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Full code from the video:
import pandas as pd
from alpha_vantage.techindicators import TechIndicators
import matplotlib.pyplot as plt

api_key = 'RNZPXZ6Q9FEFMEHM'

period = 60

ti = TechIndicators(key=api_key, output_format='pandas')

data_ti, meta_data_ti = ti.get_rsi(symbol='MSFT', interval='1min',
time_period=period, series_type='close')

data_sma, meta_data_sma = ti.get_sma(symbol='MSFT', interval='1min',
time_period=period, series_type='close')

df1 = data_sma.iloc[1::]
df2 = data_ti
df1.index = df2.index

fig, ax1 = plt.subplots()
ax1.plot(df1, 'b-')
ax2 = ax1.twinx()
ax2.plot(df2, 'r.')
plt.title("SMA & RSI graph")
plt.show()

https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/twotechindicators.py

Packages (& Versions) used in this video:

Python 3.7
pandas == 0.25.0
alpha vantage
matplotlib

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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com

Check out my website:
https://www.derricksherrill.com/

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Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!