Chris Conlan

Financial Data Scientist

  • About
  • Blog
    • Business Management
    • Programming with Python
    • Programming with R
    • Automated Trading
    • 3D Technology and Virtual Reality
  • Books
    • The Financial Data Playbook
    • Fast Python
    • Algorithmic Trading with Python
    • The Blender Python API
    • Automated Trading with R
  • Snippets

S&P 500 for The Long Haul: Figures to Keep in Mind

January 3, 2017 By Chris Conlan 4 Comments

When considering any investment opportunity, classical literature tells us to always compare it to the risk-free rate. While this is never a bad idea, this article will study the S&P 500 for use as a comparable investment. The everyday investor now has access to the S&P 500 as an investment vehicle through ETFs (Exchange Traded […]

Filed Under: Automated Trading Tagged With: data analysis, investing benchmarks, mutual funds, return series, s&p 500, time series

Latest Release: The Financial Data Playbook

The Financial Data Playbook

Available for purchase at Amazon.com.

Algorithmic Trading

Pulling All Sorts of Financial Data in Python [Updated for 2021]

Calculating Triple Barrier Labels from Advances in Financial Machine Learning

Calculating Financial Performance Metrics in Pandas

Topics

  • 3D Technology and Virtual Reality (8)
  • Automated Trading (9)
  • Business Management (9)
  • Chris Conlan Blog (5)
  • Computer Vision (2)
  • Programming with Python (16)
  • Programming with R (6)
  • Snippets (8)
  • Email
  • LinkedIn
  • RSS
  • YouTube

Copyright © 2022 · Enterprise Pro Theme On Log in