2022 in Exercise

Comments

In the tradition of last year, I decide run a report of what I have done as a year in exercise.

20222 Activities

Activity Type

Activities

Total Distance

Average Distance

Max Distance

Total Activity Time

Average Speed

Cycling

37

415.43 mi

11.23 mi

49.21 mi

37:31:35 h:m:s

11.1 mph

Gym & Fitness Equipment

209

2.03 mi

0.01 mi

0.92 mi

100:13:25 h:m:s

0.0 mph

Hiking

7

29.26 mi

4.18 mi

7.65 mi

18:03:00 h:m:s

1.6 mph

Other

122

1,068.98 mi

8.76 mi

29.55 mi

234:35:41 h:m:s

4.6 mph

Running

226

453.27 mi

2.01 mi

8.57 mi

90:59:31 h:m:s

5.0 mph

Walking

493

358.03 mi

0.73 mi

6.65 mi

132:47:20 h:m:s

2.7 mph

This time, I am going to remind myself that you cannot exercise yourself out of a bad diet. Not as much exercise as last year. Still lost 4.7 pounds. No where the goal that I set, but, in the right direction.

WOW Ports that I am following August 2022

Comments

These are screens are those that I follow from: What Works on Wall Street, Fourth Edition: The Classic Guide to the Best-Performing Investment Strategies of All Time.

This is just my interpretation of the books material.

This material is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation. Past performance is not always indicative of future returns. I may or may not own stocks listed

R System Prep

Data was downloaded the day that I run this notebook. Data should be 1 market day old.

This sheet was run on:

In [1]:
Sys.time()

[1] "2022-08-01 11:46:36 PDT"

First initialize R environment:

In [2]:
suppressPackageStartupMessages(library(tidyverse))
suppressPackageStartupMessages(library(tidyquant))
suppressPackageStartupMessages(library(rio))
suppressPackageStartupMessages(library(knitr))
suppressPackageStartupMessages(library(kableExtra))
suppressPackageStartupMessages(library(IRdisplay))
#library(kableExtra)

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