Recently I finished watching web-series Scam 1992. It’s based on story of Harshad Mehta, a famous Indian stockbrocker who made fortunes in stocks. Despite his iconic success & failure, the series rekindled my interest in world of “stocks”. I guess the famous dialogue “Risk Hai Toh Ishq Hai” has stuck with me.
I still consider myself a novice when it comes to stocks. There’s a no magic bullet to make money in stocks. However you can leverage scripts to reduce time to accumulate information. I’ll share one such approach in helping you to buy or sell stocks.
Lets say you want to buy or sell some stocks. You can use some website to track them everyday (too tedious). Or you can use some API (like yahoofinance) to get this information. However free API usually have some time lag. We will using python in getting our current stock prices directly from google.
Open your favourite terminal to create directory
$ mkdir $stocks $ cd $_
We will be using
poetry to manage our library depedencies. Create a default
pyproject.toml file like this
$ poetry init
Keep pressing enter to keep the defualt configuration
Next we will create a text file,
stocks.csv. This will list all the stocks that we need to track. For this example I am using aaple and microsoft.
ticker,sell,sell,buy aapl,0,125,0,0 msft,0,0,230,0
Here let me briefly expalin the columns:
ticker : stock ticker symbol
sell: the price at which you want to sell stock
buy: the price at which you want to buy stock
"Investing should be more like watching paint dry or watching grass grow. If you want excitement, take $800 and go to Las Vegas." - Paul Samuelson
Next create python file,
import pandas as pd from io import BytesIO from reportlab.platypus import SimpleDocTemplate, Paragraph, PageBreak from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import mm from reportlab.lib.pagesizes import letter from reportlab.platypus.tables import Table, TableStyle from reportlab.lib import colors from reportlab import platypus from reportlab.lib.styles import ParagraphStyle as PS from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.chrome.options import Options from selenium.webdriver.common.action_chains import ActionChains from reportlab.platypus import Image as Image2 import logging
Next we will open our favourite Web browser to type
We will then right click and use inspect the web page
Here we are looking for jsname with value
So our algorithm is like this for every stock
get current price of stock
Prints if the current price is greater than my desired selling price
Prints if the current price is smaller then my desired buying prices
I’ll be using
reportlab library to generate
Run this command using
$ poetry run python stock/main.py
The output looks like this
Of course predicting the buying and selling prices is an uphill task. May be you can call up Warren Buffett for tips. But I can’t since he doesn’t pick up my call 😢. So in next tutorial we’ll do some technical analysis on stocks.