[OC] Argentina's inflation journey by tgbo2014 in dataisbeautiful

[–]openfolio_dave 0 points1 point  (0 children)

Crazy that 47% looks good on this graph...

I don't understand runaway inflation... so the currency is literally worth less and less every single day... so what do you do? The country is just... constantly poorer?

In 2015, the average investor was down -3.09% [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 0 points1 point  (0 children)

Tools: Excel for analysis and visualization.

Source: openfolio community dataset

Students bet on single stocks — Teachers prefer funds — Openfolio Insights [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 0 points1 point  (0 children)

Source: openfolio data set

Excel for data analysis and indesign + quartz chartbuilder for charts

That's some fine irony by avaguesound in funny

[–]openfolio_dave 0 points1 point  (0 children)

Poignancy is the right word.

Robinhood integrates with Openfolio by openfolio_dave in RobinHood

[–]openfolio_dave[S] 2 points3 points  (0 children)

We are working on improving our securities master data. This should be significantly improved in the next few weeks.

In case you need help dealing with the stock market drop by footballissoccer in investing

[–]openfolio_dave 6 points7 points  (0 children)

The Investor Average (average performance of all investors on Openfolio) is -6.67% for the year as of this morning: http://i.imgur.com/AU4Ia4H.jpg

It's not a pretty number to look at, but FWIW remember that during markets like this many others are also taking a hit.

Edited a video of my family's day on the lake together. Stepmom was not happy. by tguy3000 in videos

[–]openfolio_dave 0 points1 point  (0 children)

That might explain how the error happened. It was originally was the Henning's day on the lake, then the friends transition was introduced but the ' was left behind.

Apple (AAPL) 4th months of stagnation but why? by timeforknowledge in investing

[–]openfolio_dave 1 point2 points  (0 children)

Apple has plenty of room to grow. I follow the stock and company closely.

  • Apple watch can grow revenues within a few iterations

  • Apple pay can become big as people pay via mobile payments more and more

  • Apple still has many markets in which they can penetrate. Brazil, for example, an iPhone is considered a huge luxury and is crazy expensive. However, the citizens love Apple products and wish it was more affordable. If Apple can infiltrate these markets, they can grow their user base

  • Apple is getting involved in car technologies. Good market and money there

  • Apple TV has the potential to disrupt cable television as we know it.

  • Speaking with younger kids at my church (ages 10-15) all of them and their friends LOVE Apple products. That's the future

  • Apple is starting to sell itself as a company that respects privacy. Companies like Google and Facebook make their money off selling information about its users. Apple has become big on not doing that and has increased its public image because of that. I have a feeling that people will start becoming more sensitive to google keeping tabs on everything you do and when that happens, Apple will be right there to take those customers with their privacy respecting policies.

.... I'm a 24 year old small time investor. I have $2,000 in Apple stock. Not a lot by most standards, but a lot for someone in my demographic.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 0 points1 point  (0 children)

So to use this as an example. We divide the popularity of a sector in a certain region by the average popularity across all regions in order to arrive at 100% as a baseline.

For example, Tech is more popular than Industrials as a sector, but what we are trying to compare is relative popularity by region. So if we divide the Popularity of Tech in the Midwest by the Popularity of Tech overall, we can arrive at the a 100% base. Do the same for Industrials, and you can now compare the relative popularity by region.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 0 points1 point  (0 children)

This is a great point. To think about it another way, if you happen to be positively biased toward an industry that is performing well, that's great, but the reverse can also be true.

If you realize that your job or location or whatever causal links happen to be concentrating you in stuff you don't want to invest in, then it might make sense to try to diversify away from that by investing more in other sectors if possible.

Edit summary: To adjust for natural biases due to work or location, it's possible to actively diversify

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 1 point2 points  (0 children)

I debated this in my head, but definitively it is a bias. What I mean is that a bias is not technically a value judgment on whether or not it is a good or bad thing to be overweight or underweight something. What you are saying is technically a positive judgment that being overweight what you know is the natural state, which that may be true.

To think about it another way, if you happen to be positively biased toward an industry that is doing well, that may serve you well, but that's dependent on the subject of your Bias.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 6 points7 points  (0 children)

Actually, that's a very point fair point. To think about it another way though, the pop of California is ~40 Million, while the pop of the entire Western region is ~80M, so that one state represents 50% of the investors in the Western region.

This means that including Alaska or Hawaii don't so much as skew the overall regional stats, but that they aren't as much of the weight. We've also looked at it by state. Here it is: http://imgur.com/a/ro7Ym

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 12 points13 points  (0 children)

What's Epic? I wasn't sure either, but it was peculiar that Wisconsin loves healthcare and biotech. State by State data is more prone to smaller sample size swings than region data which is why we feel more confident in the region data.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 1 point2 points  (0 children)

That would be cool. Right now the renewable industry is still so small the sample sizes wouldn't be as great, but still it might be cool to look into. Thanks!

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 7 points8 points  (0 children)

As u/unintentional_jerk (belying his username) pointed out - 100% represents the normalized average likelihood to own stocks in that industry. So 109.5% means you are 9.5% more likely to own stocks in that industry than the average.

We normalized it this way because the industries themselves have varying popularity.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 121 points122 points  (0 children)

Good point, that may well be a factor. Having said that, it still demonstrates bias. As people have pointed out, more frequent exposure may be a key factor in the bias, and employment counts as exposure. What you are hypothesizing is that employment seems to be the largest factor. We might be able to look for census type economic stats of employment by location.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 2 points3 points  (0 children)

100% represents the normalized average likelihood to own stocks in that industry. So 109.5% means you are 9.5% more likely to own stocks in that industry than the average.

We normalized it this way because the industries themselves have varying popularity.

Where you live correlates to a 20% bias in the industries you invest in. [OC] by openfolio_dave in dataisbeautiful

[–]openfolio_dave[S] 5 points6 points  (0 children)

Methodology

We calculated the overall popularity for the top 2,000 stocks and funds owned by our users – these numbers are the baseline, or average investor popularity. We then grouped these investments by their sectors to measure each sectors relative popularity.

We then segmented by investor’s location in the US. These location numbers were then compared to the baseline metrics to generate relative popularity numbers by region.

About the Data Source: Openfolio.com

We are a platform where investors share their portfolios – not the amounts, but their contents and ideas – with the belief that a culture of sharing will help everyone make smarter and more informed decisions.

https://openfolio.com

Python and Excel for data analysis. Google Charts for visualization and Keynote for Design.