[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.
Thanks for the meeting
thanks for setting up the course, very interesting and insightful
Glad you liked it!
thanks !!!!
can you clarify the meaning of overnight in the definition of federal fund rate? if the interest is 5-6%, how does it compound ?
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.
Usually rates are yearly, so you need to apply (1+fed rate)/365.0 rate daily
Can you please provide the websites for getting the data for Indian Stock market
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!
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?
Colab that I use has earlier version of Python. You can create a virtual environment with 3.10 and use it?
@@pythoninvest2480 working on it😊, also the fix at 22:56 is not updated in the github repo.