[Stock Market Analytics Zoomcamp] Module1 "Intro and Data Sources"

Links:
- Course Github: github.com/DataTalksClub/stoc...
- Registration Form: docs.google.com/forms/d/e/1FA...
- PythonInvest Website: pythoninvest.com/
- (support PythonInvest): www.buymeacoffee.com/pythonin...
Timestamps:
[00:00] Introduction and Course Overview
[00:27] What to Expect from the PythonInvest’s Analytics in Stock Market ZoomCamp
[01:52] Today's Agenda and Section Overview
[08:21] Analyzing Updated Questionnaire Results with a Focus on Course Application
[11:46] Setting the Right Expectations for the Course
[16:42] Understanding Economic Context for Investment Strategies
[19:51] Introduction to Practical Work with Google Colab and Data Sources
[23:36] Core CPI and Inflation Data Analysis
[33:23] Exploring S&P 500 as a Benchmark for Stock Market Investments
[41:15] Dive into Risk Reward and Asset Classes Discussion
[46:18] Detailed Look at Practical Data Sources for Stocks and Financial Analysis
[59:36] Main Source of data (Yahoo Finance OHLCV)
[1:10:37] Recap of the Session, Cheat Sheet, and General Recomendations for the Course
[1:17:45] Homework Assignment Explanation and Guidelines
Module 1 "Understanding Data-Driven Decisions and Initiating Data Extraction":
- Explore the philosophy behind making decisions based on data.
- Delve into the landscape of potential personal investments.
- Address questions about where to focus attention and considerations of risk and reward.
Practical Setup: Colab and Initial Data Download
- Guide you through setting up Colab for practical data analysis.
- Download your initial financial data using Finance APIs.
Essential Principles for API Selection
- Considerations for selecting the right API for your data needs.
- When it becomes necessary to consider payment options in the API selection process.

[@konutek7716]

Thanks for the meeting

[@phuongdo8269]

thanks for setting up the course, very interesting and insightful

[@pythoninvest2480]

Glad you liked it!

[@gustavocastro3189]

thanks !!!!

[@ashwingadam]

Can you please provide the websites for getting the data for Indian Stock market

[@pythoninvest2480]

Yahoo Finance (discussed at the livestream) may be able cover some of the indexes/companies on NSE - you need to check it. I've tried this and it worked well: finance.yahoo.com/quote/EICHERMOT.NS/ . You can also try some of the apis/sources in this discussion: www.reddit.com/r/IndianStreetBets/comments/zuhovd/any_api_for_ohlc_data/ . Let us know what worked for you!

[@nithishprabhu]

can you clarify the meaning of overnight in the definition of federal fund rate? if the interest is 5-6%, how does it compound ?

[@pythoninvest2480]

I’m not an expert here, as I never borrowed money from Fed as a bank. But my understanding is that they can borrow/save funds daily overnight (what is left after the credit/saving activities for them). That’s why they can “price” all other activities around this rate (credit and saving rates for businesses and people). Compounding for fed rate (eg over a week) is just multiplication of daily rates - the usual formula , you just need to apply a new rate every day.

[@pythoninvest2480]

Usually rates are yearly, so you need to apply (1+fed rate)/365.0 rate daily

[@adityamathur2284]

I am using python 3.12 and till the time i am posting this comment, I cannot use pandas-datareader library, as the latest version on pypi still uses distutils as a dependency and this is a deprecated library in 3.12 any work arounds?

[@pythoninvest2480]

Colab that I use has earlier version of Python. You can create a virtual environment with 3.10 and use it?

[@adityamathur2284]

@@pythoninvest2480 working on it😊, also the fix at 22:56 is not updated in the github repo.