Here is a list of coins that were most popular amongst 30 well-known crypto funds. Many of these coins have done exceptionally well during the current 2020 post-halvening bull run. Sometimes it’s as simple as following the money 🚀

# of funds holding which coins

24 ETH
23 BTC
13 DOT
9 UNI
8 FIL
8 GRT
8 MKR
7 AAVE
7 CKB
7 ZEC
6 COMP
6 LUNA
6 STX
5 ATOM
5 NEAR
5 SNX
4 DODO
4 FTT
4 SOL
4 UMA
4 ZRX
3 1INCH
3 ALGO
3 AVAX
3 CELO
3 FLOW
3 HT
3 KSM
3 MANA
3 NMR
3 SC
3 XMR
3 XRP
3 XTZ
3 YFI
2 AR
2 BAL
2 BAT
2 BNB
2 EGLD
2 EOS
2 KAVA
2 KEEP
2 KNC
2 LEO
2 MATIC
2 ONE
2 SKL
2 SRM
2 SUSHI
1 AKRO
1 ALPHA
1 ANT
1 API3
1…

As vaccines start to roll-out and combat this seemingly endless pandemic, a cure for the ballooning wealth inequality is nowhere in sight. Gradually developed during the third industrial revolution, the lopsided social hierarchy exacerbated by our growing reliance on technology will most likely be more deadly than the virus itself.

While wealth gaps are nothing new, the ascent and reliance on Big Tech for survival is unlike any other time in history when technology was just an accessory. While governments are busy figuring out the next stimulus check, Big Tech has gripped society by its balls. Technology not only controls…

2020 marks the beginning of a new paradigm. During the unprecedented start to this tumultuous decade, assets ​fueled by recovery stimulus and loose monetary policy rocketed to new highs. The wealth divide​ grew ​considerably along with micro and macro tensions​ across the globe​.

Marketcap remains one of the best metrics for comparing investment opportunities​. A​s Apple continues to dominate and pave the way to new highs,​ ​others​ will eventually​ follow i​ts path. 2T is the new 1T marketcap standard now. Gold at 10T ​is a major marketcap milestone to reach. Most FANG and tech stocks now have a​ growing​ competitive…

On an island of 7M+ people, Hong Kong is plagued by air and noise pollution. Imagine if one of the largest pollution culprits was entirely removed. The streets would be quieter and the air would be cleaner, wouldn’t that be amazing? The city would be instantly upgraded noise+air-wise and it’d be fun to travel on large multi-wheel vehicles again (possibly Self-Driving too!).

Introducing the Hong Kong Double-Decker EV Bus based on the Tesla Motors Semi Truck. This rendering is themed after the classic KMB, Kowloon Motor Bus, but can be deployed anywhere there are large, loud, fossil-fuel burning buses many…

Here is a fun project where I used data from several APIs (IEX Trading, RiteKit Logo) and Python modules (Pytrends, Alexa_Check) to create some mini stock graphics with the help of Airtable’s page designer tool. The idea was to create a simple “Cheat Sheet” like mini graphic with some useful information about a company (outside of some of the traditional details on Yahoo Finance).

Google Trends and Alexa Website Traffic Analysis are two tools I usually check as they are sometimes correlated with the performance of a company. …

While fiddling around with various Google trend keywords, I stumbled upon “Robinhood” — the commission-free stock and crypto trading app that most traders on /r/wallstreetbets use and is growing rapidly (see Alexa stats below).

Surprisingly, both times after a spike in Google search interest for “Robinhood” the S&P stock price dropped. Could Wall Street be dumping on new Robinhood traders? Google Trends has been quite the leading indicator the last two spikes. Will be interesting to see what happens on the third spike — most likely when they reveal their Cash Management service with 3% interest rates — something competing institutions must hate!

In this post we look at the correlation between the 50 most popular datasets in the FRED database with SPY, VIX, GLD and BTC. The datasets cover a wide range of themes including: Growth, Prices and Inflation, Money Supply, Interest Rates, Employment, Income and Expenditure, Other Economic Indicators, Debt.

Although this is far from exhaustive it gives a brief look at some popular economic data points and how they relate to the stocks, volatility, gold and Bitcoin. I’ve included charts of the most and least correlated data points below for visual reference (all charts here). While it’s unclear on certain…

Been busy this past week looking at fractals, identifying them from historical price data and trying to find relevance in them. So far I’ve created a web interface that can spot fractals using a correlation window with various input parameters.

The tool can spot similar movements across a period, especially sharp movements. I’ve found that by using a weighted correlation window that favors the shorter windows (more recent prices) to be an improvement over simply comparing one window period to another.

Yesterday, I manually scanned some stocks and came across $WB which had strong signals for an up day. While…