added intro to finance & technical indicators tutorial

Author: x4nth055

README.md

@@ -52,6 +52,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
     - [How to Predict Stock Prices in Python using TensorFlow 2 and Keras](https://www.thepythoncode.com/article/stock-price-prediction-in-python-using-tensorflow-2-and-keras). ([code](machine-learning/stock-prediction))
     - [How to Convert Text to Speech in Python](https://www.thepythoncode.com/article/convert-text-to-speech-in-python). ([code](machine-learning/text-to-speech))
     - [How to Perform Voice Gender Recognition using TensorFlow in Python](https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python). ([code](https://github.com/x4nth055/gender-recognition-by-voice))
+    - [Introduction to Finance and Technical Indicators with Python](https://www.thepythoncode.com/article/introduction-to-finance-and-technical-indicators-with-python). ([code](machine-learning/technical-indicators))
 
 
 - ### [General Python Topics](https://www.thepythoncode.com/topic/general-python-topics)

machine-learning/technical-indicators/README.md

@@ -0,0 +1,4 @@
+# [Introduction to Finance and Technical Indicators with Python](https://www.thepythoncode.com/article/introduction-to-finance-and-technical-indicators-with-python)
+To run this:
+- `pip3 install -r requirements.txt`
+- Please check [the notebook](technical_indicators.ipynb) or the [Python script](technical_indicators.py)

machine-learning/technical-indicators/requirements.txt

@@ -0,0 +1,4 @@
+pandas-datareader
+yfinance
+mpl-finance
+stockstats

machine-learning/technical-indicators/technical_indicators.ipynb

@@ -0,0 +1,71 @@
+# To add a new cell, type '# %%'
+# To add a new markdown cell, type '# %% [markdown]'
+
+# %%
+import yfinance as yf
+import pandas_datareader as pdr
+from mpl_finance import candlestick_ohlc
+import matplotlib.pyplot as plt
+
+
+# %%
+# import SPY stock price
+df_spy = pdr.get_data_yahoo("SPY", start="2019-01-01", end="2019-09-30")
+# import AAPL stock price
+df_aapl = pdr.get_data_yahoo("AAPL", start="2019-01-01", end="2019-09-30")
+
+
+# %%
+df_spy.head()
+
+
+# %%
+df_aapl[["Open", "High", "Low", "Close"]].plot()
+plt.show()
+
+
+# %%
+fig = plt.figure(figsize=(10, 10))
+ax = plt.subplot()
+
+plot_data = []
+for i in range(150, len(df_aapl)):
+    row = [
+        i, 
+        df_aapl.Open.iloc[i], 
+        df_aapl.High.iloc[i], 
+        df_aapl.Low.iloc[i], 
+        df_aapl.Close.iloc[i], 
+    ]
+    plot_data.append(row)
+candlestick_ohlc(ax, plot_data)
+plt.show()
+
+
+# %%
+from stockstats import StockDataFrame
+stocks = StockDataFrame.retype(df_aapl[["Open", "Close", "High", "Low", "Volume"]])
+
+
+# %%
+plt.plot(stocks["close_10_sma"], color="b", label="SMA")
+plt.plot(df_aapl.Close, color="g", label="Close prices")
+plt.legend(loc="lower right")
+plt.show()
+
+
+# %%
+plt.plot(stocks["close_10_sma"], color="b", label="SMA") # plotting SMA
+plt.plot(stocks["close_10_ema"], color="k", label="EMA")
+plt.plot(df_aapl.Close, color="g", label="Close prices") # plotting close prices
+plt.legend(loc="lower right")
+plt.show()
+
+
+# %%
+plt.plot(stocks["macd"], color="b", label="MACD")
+plt.plot(stocks["macds"], color="g", label="Signal Line")
+plt.legend(loc="lower right")
+plt.show()
+
+