Capitalogix

Mindset Matters

I have a picture in my conference room that says energy might be the most important thing to measure.

 

via GapingVoid

It means exactly what it sounds like - but also a lot more. 

We use A.I. to trade.  So, measuring performance is important.  But, so are all sorts of production, efficiency, and effectiveness measures. 

While there are hundreds of important metrics we track day-to-day, energy affects everything. 

Energy affects how you feel, what you do, and what you make it mean.  That means it is a great way to measure your values too.

Consequently, even if you don't recognize it, energy has a lot to do with who you hire and fire. It affects where you spend our time. Ultimately, it even affects the long-term vision of our company.

If something brings profit and energy, it is probably worth pursuing. 

In contrast, one of the quickest ways to burn out is by fighting your energy.  Figuring out who and what to say "no" to is an important way to make sure you stay on path and reach your goals.

At a recent Genius Network event, I shared a mindset scorecard I created during one of their exercises.  I hope it helps!

Normally, Genius Network is private, and these recordings are for internal use only; but I asked permission to share my impromptu session with you. 

Check it out. In the first 5 minutes, I will introduce the scorecard. For the next 10 minutes, you'll get an extra look at the resulting group discussion. 

 

I use this tool to diagnose where we are during meetings, while ranking opportunities, and even for HR and partnership decisions.

Think of each comparison as a spectrum. They're not necessarily "one-or-the-other", but they can help identify where you are on the scale of "what to avoid" versus "what you want".

 

• Blaming <-----> Encouraging
• Insistent <-----> Inspirational
• Fearful <-----> Abundant
• Steadfast <-----> Curious
• Clogging <-----> Cleansing
• Resentful <-----> Grateful
• Zero-Sum <-----> Relational
• Small-Minded <-----> Visionary

 

These words mean something to me, but they may need tooling to work in your company. Changing the names, the order of the comparisons, the number of comparisons, etc. can have a profound effect on the usefulness of this scorecard to you. 

I encourage you to think about how you could use this scorecard, and how you can bring attention to those people and actions that best embody the traits that are vital to your business. 

How Warren Buffet Got His Start

Warren Buffett is a legend for many reasons. Foremost among them might be that he's one of the few investors who clearly has an edge ... and has for a long time. From 1976 to 2017 his Sharpe ratio (excess return relative to risk) was approximately double the overall market. Berkshire Hathaway now has over $700 billion in assets – and is still performing well. 

While many people consider Buffett to be an investor,  I also consider him to be an entrepreneur.

At the age of six, he started selling gum door to door. Obviously, selling gum wasn't the key to his path to riches.  So, how did he make his first million?  Here's a video that explains it.

 

via Coolnimation

For context, he made his first million at age 30, which was in 1960. For context, a million dollars in 1960 would be worth about $8.5 million today.

Buffet has always been honest about his bread-and-butter "trick" ...  he buys quality companies at a discount and holds on to them.

It is fascinating to recognize how much the world has changed – and yet how much it stayed the same.

For extra viewing: Warren Buffett, Charlie Munger, and Bill Gates recently did a full 2-hour interview with CNBC. You can watch it here.

Here Are Some Links For Your Weekly Reading - April 12th, 2019

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• Here's How Google Knows in Less Than 5 Minutes If Someone Is a Great Leader. (Inc)
• What Amazon Knows About You. (Axios)
• Julio Iglesias Has an Absolutely Massive Net Worth and Owns an Airport.(CNW)
• Scientist: Alien Life Now Seems Inevitable and Possibly Imminent. (Futurism)
• This Trick Helped 96% of WWII US Military Pilots Learn to Fall Asleep within 2 Minutes, Even After Drinking Coffee. (BusinessInsider)

 

Trading Links:

• One Out of Every 11,600 People in San Francisco is a Billionaire. (Vox)
• Here's Who Stands to Get Rich from Uber's IPO. (ComplianceX)
• Vegan-Friendly, Celeb-Backed Beyond Meat Has 2019'S Best U.S. IPO. (Time)
• If You Invested $1,000 in Apple in 2009, Here's How Much You'd Have Now. (CNBC)
• Man Credited With Calling the 2008 Crisis Says the Next 20 Years in the Stock Market Will Break a Lot of Hearts'. (MarketWatch)

Microsoft: Are They Where They Thought They'd Be in 2019?

 In 2009, Microsoft released a video anticipating the world in 2019. That was only 10 years ago. 

I recently showed you how much Social Media has changed in 10 years - so how close was Microsoft's guess?

Watch this video to find out: 

 

 

The answer is .... not as close as I would have thought.  Nonetheless, they just hit a Trillion Dollar market cap.  So, they must have gotten something right! 

It's interesting to think about which factors or missing innovations caused the difference between their imagined vision and reality.

They really bought into scaleable, HD, transparent, touch screen displays being not only available, but located in everything by now ... which suffice to say, isn't the case. 

The reality is ...

• A lot of these innovations actually have little use - Not every situation needs a transparent monitor - they're worse than standard monitors in almost every way. You end up using absurdly expensive screens to display a digital version of a post it note or handwriting. The desk/monitor hybrid would be covered in sheets of paper, office supplies, and your coffee. A boarding pass being a screen is highly inefficient for so many reasons - and so is a digital newspaper. We have those - they're called phones.  
• They assumed batteries would be way farther along - The thinner your monitor, the more transparent, the harder it is to create a high-performance high-fidelity battery to maintain it. Unfortunately, batteries haven't had nearly the boom like the rest of our tech (though they are getting better). 
• IoT Adoption/Security - One of the biggest problems with IoT is that the more these pieces communicate the harder it is to prevent hacks. A chain is only as strong as the weakest link - and a smart coffee maker isn't nearly secure as your computer. 
• Fingerprints (Glass) - I get this isn't a "real" concern - but every piece of technology they showed was transparent/glass. On top of being very breakable (see Samsungs new foldable phones) Could you imagine how smudged/dirty everywhere would appear? Imagine a New York subway with this technology.
• Expense v. Convenience - A lot of technologies are feasible - but aren't cost-effective. Look at the slow adoption of Solar cells as their efficiency per cost went up.

Making everything a device/screen means more opportunity for companies to serve you ads and retarget you ad infinitum. 

Ultimately, I find this perceived "modern digital office environment" very inefficient. A lot of these "innovations" are less dynamic and easy to use than their analog counterparts. Mechanical keyboards serve a purpose. 

In reality, a lot of the trends we've adopted to increase collaboration and sharing have been counterproductive. Not every office needs an open floor plan - not every team needs 15 subteams with 4 bosses - and using 20 different productivity tools actually decreases productivity. 

That being said, we've come a long way in 10 years. Think about the quality of your phone in 2009 or your desktop computer - whirring loudly as it tried to access the disk, or the internet, or anything really. 

What we have now isn't perfect - but it's leaps and bounds ahead of where we were. A lot of technology seems like science fiction - like the Babel fish from Hitchhikers Guide to the Galaxy.

Here Are Some Links For Your Weekly Reading - May 5th, 2019

 

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• These are Amazon's 38 Rules for Success. (FastCompany)
• Amazon Used an AI to Automatically Fire Low-Productivity Workers. (Futurism)
• Cornell Scientists Create Living' Machines that Eat, Grow, and Evolve. (TheNextWeb)
• Drinking Tequila Could Help You Lose Weight. (Elle)
• Is It True that It's More Painful to Come Second Rather Than Third? New Insights from the 2016 Olympics. (Digest)

 

Trading Links:

• Making Sense of the Market in the Age of Algorithmic Trading. (Barrons)
• The next Gig Economy Will Be On-demand Knowledge.(WEForum)
• Central Banks Extraordinary Policies: What Could Go Wrong.(SeeItMarket)
• Super Rich Ditching Jet Ownership for a Portfolio of Aviation Options. (Bloomberg)
• If You Invested $1,000 in Microsoft in 2009, Here's How Much You'd Have Now. (CNBC)

 

 

Gartner's 2018 Hype Cycle for Emerging Technologies

With all the "fake news" and manufactured social buzz, it's hard to identify what technologies are reaching maturity and which ones are fads. Gartner's Hype Cycle attempts to solve that problem. 

What's a "Hype Cycle"?

As technology advances, it is human nature to get excited about the possibilities and to get disappointed when those expectations aren't met. 

At its core, the Hype Cycle tells us where in the product's timeline we are, and how long it will take the technology to hit maturity. It tells us which will survive the hype have the potential to become a part of our daily life. 

Gartner's Hype Cycle Report is a considered analysis of market excitement, maturity, and the benefit of various technologies.  It aggregates data and distills more than 2,000 technologies into a succinct, contextually understandable, snapshot of where various emerging technologies sit on the hype cycle.

Here are the five regions of Gartner's Hype Cycle framework:

1. Innovation Trigger (potential technology breakthrough kicks off),
2. Peak of Inflated Expectations (Success stories through early publicity),
3. Trough of Disillusionment (waning interest),
4. Slope of Enlightenment (2nd & 3rd generation products appear), and
5. Plateau of Productivity (Mainstream adoption starts). 

 

Understanding this hype cycle framework enables you to ask important questions like "How will these technologies impact my business?" and  "Which technologies can I trust to stay relevant in 5 years?"

What's exciting this year? 

Currently, people are probably "too" excited about IoT platforms, Deep Learning, and Virtual Assistants. The idea isn't they won't stand the test of the time, but there's an artificial influx of people inflating the adoption numbers. Once the chaff is separated from the wheat - you can expect these to succeed. Autonomous driving, connected homes, and mixed reality have matured past the hype phase. 

For comparison, here's my article from last year, and here's my article from 2015. Click the chart below to see a larger version of this year's Hype Cycle.

via Gartner

This year, Gartner organized the 17 highlighted technologies into 5 encompassing trends:

 

• Democratized AI (autonomous driving, conversational AI, deep neural nets, etc.) is one of the most disruptive classes of technology. It's becoming more readily available due to open source and cloud computing. There's a burgeoning field of "makers" inspired to push the boundaries of what's possible.  
• Digitalized Ecosystems ( blockchain, IoT) support emerging technologies by being the foundations for dynamic systems. There's a shift from discrete infrastructure systems to comprehensive ecosystems. Think of blockchains potential impact on tracking and communication.  
• Do-It-Yourself Biohacking (biotech, biochips, exoskeletons, AR) is something I've talked about before. Dave Asprey is a public face of this movement and we shot a video together last year. The future is bringing implants to extend humans past their perceived limits and increase our understanding of our bodies; biochips with the potential to detect diseases, synthetic muscles, and neural implants. 
• Transparently Immersive Experiences (connected home, smart dust, volumetric displays) represent the blending of where human stops, work starts, and things exist. Imagine a theoretical smart workspace where electronic whiteboards capture all your notes and disseminate them, sensors let you know where people are and what they're working on, and everything in your office interacts directly with your IT platform. This creates much more contextual and personalized experiences.  
• Ubiquitous Infrastructure (5G, carbon nanotubes, quantum computing) means that infrastructure is becoming a less competitive advantage. As infrastructure becomes cheaper, more ubiquitous, and faster, it becomes background noise.  

 

Looking at the overarching trends of this year, it's also fun to look at what technologies are just starting their hype cycle. 

• Artificial Tissue (Biotech) could be used to repair or replace portions of, or whole, tissues (cartilage, skin, muscle, etc.)
• Flying Autonomous Vehicles can be used as taxis, but also as transports for other things such as medical supplies, food delivery, etc. Amazon and Uber are likely excited about this development - and expect it in the next couple of years. 
• Smart Dust opens up the possibility of monitoring essentially everything by creating a vast network of minuscule sensors that can detect various inputs. 
• Artificial General Intelligence
• 4D Printing would theoretically allow us to print objects that reshape or self-assemble over time. 

 

Which technologies do you think will survive the hype?

Reinventing Hedge Funds

Two months ago, I spoke at IBM's Think 2019 Conference with iOLAP's Chris Jordan. Our talk was Gaining a Financial Edge through Fast Data and Analytics.

 

 

The crux of our presentation was that high-performance computing and advanced technology stacks are fundamental to today's trading strategies.

Earlier this week, IBM released a commercial we shot together about how IBM's Integrated Analytics System (IAS) is helping us re-invent hedge funds.  Check it out.

 

 

via IBM Analytics

Think of it this way: 

Each generation of traders finds new ways to play the game and to generate Alpha (the excess return generated by manager skill, rather than luck or excess risk). As soon as enough people adopt a strategy (or figure out a way to combat it), the edge begins to decay.

When computerized data became available, simply understanding how to download and use it generated Alpha. The same could be said for each later evolution: the adoption of complex algorithms, access to massive amounts of clean data, and the adoption of AI strategies.

Each time a new shift happens, traders pivot or fail – it's not that active trading stopped working – it's that the tools and styles necessary to play that game evolved.

We use a similar concept we call "Active Switching".  Instead of simply trying to pick stocks or markets, we use advanced technology and techniques to choose markets, techniques, risk levels, and allocation strategies. Further, we use Active Switching to make many decisions, great and small, that together allow us to build portfolios that adjust themselves to changing market conditions.

 

Playing a New Game

 

Confusion is the catalyst to most trades.  What that means is the ability to parse information ... to create a contextual map of meaning and figure out where there's signal and noise ... is the new table stakes for playing that game.   ~ Howard Getson

 

Historically, most active traders don't beat the S&P in any given year ... and even less beat it with any semblance of consistency.  But those that do – the ones that have been doing it for long enough that it's not chance ... exercise a willingness (and a skill) to adapt quickly. 

One of Charles Darwin's best-known concepts is: It is not the strongest species that survive, nor the most intelligent, but the ones most responsive to change.

While computers have made information accessible to everyone, they've also created a massive asymmetric information advantage for those who have both the access and the skill to best use the massive amounts of data now available.  This is more complicated than it seems.  You need the information, the technology, the process, and the people.  There is so much data available now that figuring out what to ignore is probably more important than what to use.  Likewise, the ability to ingest, clean, validate and curate the data is a huge hurdle that most can't clear.

 

 

Even with those skills, it's harder than ever to take advantage of inefficiencies (edges) than ever before.  The edges are smaller, more fleeting, and surrounded by more volatility and noise.  It's like finding a needle in a haystack.  That being said - finding a needle in a haystack is easy when you have a metal detector. 

That's where A.I. has come in for us. We use A.I. to develop algorithms, to analyze markets, and to create meaning where humans can't find any. 

 

 

We live in exciting times.  Onwards!

Here Are Some Links For Your Weekly Reading - April 21st, 2019

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• What are the Most Promising Uses for Blockchain We Haven't Seen Yet? (Forbes)
• Sperm and Sensibility: The Modern World of Designer Children. (TLS)
• Thousands of Amazon Workers are Listening in on Echo Audio, Report Says. (AppleInsider)
• Strength Training for the Lungs: Why Heavy Breathing Could Be a Shortcut to Improving Your Health. (Telegraph)
• Forecasting the Future: Can the Hive Mind Let Us Predict the Future? (Futurism)

 

Trading Links:

• NVIDIA AI Research Points to an Evolution of the Chip Business. (ZDNet)
• Philip Morris International is Sticking with E-Cigs, Not Marijuana. (Fool)
• This Simple Map Shows the Biggest Employers in Each State. (Good)
• Lyft's I.P.O. is Making the Same Circle of Men Rich, Again. (New York Times)
• The Future of Electric Cars is Happening Now in China. (Quartz)

 

 

Here Are Some Links For Your Weekly Reading - April 7th, 2019

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

• Scientists Plead to Stop Creation of Killer Robots: We're at 'The Brink of a New Arms Race'. (FoxNews)
• Moratorium on Human Genome Editing: Time to Get It Right. (HastingsCenter)
• 'Those Who Obeyed the Rules Were Favored by Evolution'.(Spiegel)
• Meet the World's Oldest Confirmed Person, 116-Year-Old Kane Tanaka. (TwistedSifter)
• Why Democrats Want to Abolish the Electoral College and Republicans Want to Keep It. (Fortune)

Trading Links:

• Why Companies that Wait to Adopt AI May Never Catch Up.(HBR)
• Iranian Hackers Have Hit Hundreds of Companies in past Two Years. (Wall Street Journal)
• What is an Inverted Yield Curve and What Does It Really Mean? (TheStreet)
• S&P 500 Posts Best First Quarter in 21 Years. (FoxBusiness)
• Bill Gates is Back in the $100 Billion Club, and Not All Thanks to Microsoft. (CNW)

 

 

Here Are Some Links For Your Weekly Reading - March 31st, 2019

 

Here are some of the posts that caught my eye recently. Hope you find something interesting.

Lighter Links:

 

• 7 Odd Traits Geniuses, Masters and Entrepreneurs All Have in Common.(Forbes)
• Nest Founder: I Wake up in Cold Sweats Thinking, What Did We Bring to the World?. (FastCompany)
• Bill Gates: AI is like Nuclear Weapons and Nuclear Energy in Danger and Promise. (Vox)
• Artificial Intelligence and Ethics. (HarvardMagazine)
• These are All the World's Major Religions in One Map. (WEForum)

 

Trading Links:

• Just Because You're Paranoid, Doesn't Mean the Algorithms Aren't out to Get You. (TimHarford)
• Here are the Top Risks on Goldman Sachs CEO David Solomon's Radar.(Finance)
• UBS CEO Says this is One of the Worst First-quarter Environments in History. (CNBC)
• Apple Sold 35 Million AirPods in 2018, Currently Most Popular 'Hearable' Brand. (AppleInsider)
• Facebook, Google and Other Big Tech Giants are about to Face a Reckoning, State Attorneys General Warn. (Washington Post)