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--- knowledge_base:programming:stockcharting [2023/12/18 21:41] – [Setup Python Virtual Environment] Normal User
+++ knowledge_base:programming:stockcharting [2023/12/18 23:05] (current) – [Step 5. More Indicators, Plot Layout] Normal User
@@ Line 29: / Line 29: @@
 You don't need to read all at once.
-===== Step 2. Data Extraction from Yahoo Finance =====
+==== A Simple Example ====
+Run the following simple code (from [[https://www.analyticsvidhya.com/blog/2021/10/interactive-plots-in-python-with-plotly-a-complete-guide/#Line_Plots_Using_Plotly|Credits]]) to demonstrate a simple stock charting.
-===== Step 3. Plot Single Stock Chart =====
+Notes: You will need to install plotly and pandas Python packages using pip. Reference to [[https://datatofish.com/install-package-python-using-pip|this]] if you don't know how.
+<code>
+import plotly.express as px
-===== Step 4. More Indicators, Plot Layout =====
+df = px.data.stocks()
+fig = px.line(df, x='date', y=["MSFT","GOOG",'FB',"AMZN"])
+fig.show()
+</code>
+===== Step 2. Learning to Use Git =====
-===== Step 5. UI for Taking Multiple Stock Symbols =====
+Watch this [[https://youtu.be/i_23KUAEtUM?si=iH7UxpvWzFsBxcgs|Official Video]] to learn how to use Git in VS Code.
+Note: Create a ''.gitignore'' file to exclude Python virtual environment folder.
-===== Step 5. Putting All Together =====
+===== Step 3. Data Extraction from Yahoo Finance =====
+Try out the following simple example - getting Amazon stock price data by reading [[https://www.qmr.ai/yfinance-library-the-definitive-guide/|this resource]].
+<code>
+# IMPORT THE LIBRARY
+import yfinance as yf
+from datetime import datetime
+# CREATE TICKER INSTANCE FOR AMAZON
+amzn = yf.Ticker("AMZN")
+# GET TODAYS DATE AND CONVERT IT TO A STRING WITH YYYY-MM-DD FORMAT (YFINANCE EXPECTS THAT FORMAT)
+end_date = datetime.now().strftime('%Y-%m-%d')
+amzn_hist = amzn.history(start='2022-01-01',end=end_date)
+print(amzn_hist)
+</code>
+===== Step 4. Plot Single Stock Chart =====
+Combining Step 2 and Step 3 to plot Amazon stock price and volume over the past two years.
+===== Step 5. More Indicators, Plot Layout =====
+  * 50 day moving average
+  * 200 day moving average
+  * Bollinger bands
+===== Step 6. UI for Taking Multiple Stock Symbols =====
+===== Step 7. Putting All Together =====