Products
Features
YouTube Video Summarizer
Summarize YouTube videos
Web & PDF Highlighter
Highlight web pages & PDFs
Chat with PDF
Ask any PDF questions with AI
Ask AI Clone
Chat with your highlights & memories
Audio Transcriber
Transcribe audio files to text
Glasp Reader
Read and highlight articles
Kindle Highlight Export
Export your Kindle highlights
Idea Hatch
Hatch ideas from your highlights
Integrations
Obsidian Plugin
Notion Integration
Pocket Integration
Instapaper Integration
Medium Integration
Readwise Integration
Snipd Integration
Hypothesis Integration
Apps & Extensions
Chrome Extension
Safari Extension
Edge Add-ons
Firefox Add-ons
iOS App
Android App
Discover
Discover
Ideas
Discover new ideas and insights
Articles
Curated articles and insights
Books
Book recommendations by great minds
Posts
Essays and notes from readers
Quotes
Inspiring quotes collection
Videos
Curated videos and summaries
Explore Glasp
Glasp Newsletter
Weekly insights and updates
Glasp Talk
Interview series with great minds
Glasp Blog
Latest news and articles
Glasp Use Cases
Learn how others use Glasp
Build & Support
Glasp API
Access Glasp's API for developers
MCP Connector
Connect Glasp to Claude & ChatGPT
Community
Glasp Reddit Community
Students
Student discount and benefits
FAQs
Frequently Asked Questions
AboutPricing
DashboardLog inSign up

Completing our basic stock screener - Using Programming for Fundamental Investing Part 10

6.8K views
•
September 17, 2013
by
sentdex
YouTube video player
Completing our basic stock screener - Using Programming for Fundamental Investing Part 10

TL;DR

This tutorial demonstrates how to screen stocks using programming to narrow down a large dataset, and how to acquire historical earnings data using the Wayback Machine.

Transcript

hello and welcome to the 10th fundamental investing with the use of programming tutorial where we left off i was showing you all how to further screen a batch of data that way you don't have to continue running through the whole huge set right so in this case you know instead of running through 3000 bits of 3000 tickers you can generate kind of a s... Read More

Key Insights

  • 👻 Using programming techniques to screen stocks can be a valuable tool for investors, allowing them to identify potential investment opportunities efficiently.
  • 🍉 The tutorial emphasizes that fundamental investors focus on long-term value rather than short-term growth or momentum.
  • ♿ The Wayback Machine provides a workaround to access historical earnings data without purchasing it, although the data may not be as complete or recent.
  • 💁 The tutorial suggests exploring other pages on Yahoo Finance, such as analyst opinions and cash flow statements, to gather additional information for security analysis.

Install to Summarize YouTube Videos and Get Transcripts

Explore YouTube Video Summarizer or Get YouTube Transcript Extractor

Questions & Answers

Q: How can screening stocks using programming help investors?

Screening stocks using programming allows investors to quickly narrow down a large dataset and focus on companies that meet specific criteria, saving time and effort in the research process.

Q: What additional requirements can be added to further refine the screened stock list?

Additional requirements, such as a specific debt to equity ratio, can be added to the screening process to further narrow down the list and identify potential investment opportunities.

Q: How can the Wayback Machine be used to access historical earnings data?

The Wayback Machine can be used to access cached versions of websites from the past. By entering the company's ticker symbol and browsing through past records, investors can gather historical earnings data and analyze the company's financial performance over time.

Q: Is it necessary to purchase historical earnings data for fundamental analysis?

While historical earnings data can be purchased from sources like Thomson Reuters, the tutorial provides a method to access this data for free by using the Wayback Machine. However, this method may not be as comprehensive or up-to-date as purchased data.

Summary & Key Takeaways

  • The tutorial explains how to screen stocks using programming to create a manageable list that meets specific criteria.

  • It demonstrates how to further refine the list by adding additional screening requirements.

  • The tutorial also shows how to use the Wayback Machine to access historical earnings data for a company.


Read in Other Languages (beta)

English

Share This Summary 📚

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Explore More Summaries from sentdex 📚

"Members only" bug. thumbnail
"Members only" bug.
sentdex
Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17 thumbnail
Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17
sentdex
Tkinter tutorial Python 3.4, creating a full scale Program GUI part 1 thumbnail
Tkinter tutorial Python 3.4, creating a full scale Program GUI part 1
sentdex
Raspberry pi with Python for Robotics 10 - Programming Distance Sensor HC-SR04 thumbnail
Raspberry pi with Python for Robotics 10 - Programming Distance Sensor HC-SR04
sentdex
Python: Programming Average True Range (ATR) 2 Mathematics and Stock Indicators thumbnail
Python: Programming Average True Range (ATR) 2 Mathematics and Stock Indicators
sentdex
Building out Bot Commands - making Discord bots with Discordpy p.2 thumbnail
Building out Bot Commands - making Discord bots with Discordpy p.2
sentdex

Summarize YouTube Videos and Get Video Transcripts with 1-Click

Download browser extensions on:

Try YouTube Summary with ChatGPT & Claude or YouTube Transcript Generator

Apps & Extensions

  • Chrome Extension
  • Safari Extension
  • Edge Add-ons
  • Firefox Add-ons
  • iOS App
  • Android App

Key Features

  • YouTube Video Summarizer
  • Web & PDF Summarizer
  • Web & PDF Highlighter
  • Chat with PDF
  • Ask AI Clone
  • Audio Transcriber
  • Glasp Reader
  • Kindle Highlight Export
  • Idea Hatch

Integrations

  • Obsidian Plugin
  • Notion Integration
  • Pocket Integration
  • Instapaper Integration
  • Medium Integration
  • Readwise Integration
  • Snipd Integration
  • Hypothesis Integration

More Features

  • APIs
  • MCP Connector
  • Blog & Post
  • Embed Links
  • Image Highlight
  • Personality Test
  • Quote Shots

Company

  • About us
  • Blog
  • Community
  • FAQs
  • Job Board
  • Newsletter
  • Pricing
Terms

•

Privacy

•

Guidelines

© 2026 Glasp Inc. All rights reserved.