In 2009, an unknown investor from Russia came out of nowhere to make one of the greatest late stage venture bets in the history of Silicon Valley. Why did FB choose an outsider to lead our Series D round? Here’s the inside story:
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Rather, I learned 10x more about investing from Twitter University.
🧵 Here are 5 threads from world-class Fintwitters.
What you learn: Build an investing checklist.
From: @BrianFeroldi, writer at Motley
1/ How to create an investment checklist (thread)
— Brian Feroldi (@BrianFeroldi) December 8, 2020
Checklists are an amazing, FREE, underutilized investing tool
Here's the step-by-step process for how to create your own
\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f\u2b07\ufe0f
What you learn: Read 10Ks like a Hedge Fund
From: @FabiusMercurius
\U0001f9d0How to Read 10Ks Like a Hedge Fund\U0001f9d0
— Ming Zhao (@FabiusMercurius) May 7, 2021
\u201cFundamentals don\u2019t matter anymore!\u201d I\u2019ve heard this a lot lately on Fintwit.\U0001f644
But, for those who\u2019ve diversify beyond $GME and $DOGE, here\u2019s a primer on what metrics fundamental buy-side PMs look at and why:
(real examples outlined)
\U0001f447 pic.twitter.com/tLlNRvpnDK
What you learn: Perform a DCF analysis.
From: @10kdiver
1/
— 10-K Diver (@10kdiver) August 8, 2020
Get a cup of coffee.
In this thread, I'll show you how to do a DCF analysis.
For those unfamiliar, DCF = Discounted Cash Flow.
What you learn: When to sell your stocks
From: @borrowed_ideas, founder at
A pleb's guide to using @Keeper_DAO's hiding game to acquire $Rook below market price and arb it like a pro.
Before reading this thread, please read this one to provide a bit of context:
https://t.co/jLeUJRIjLG
Here we go!
1/
Ok I couldn't resist myself...
— 0x_Infinitum (@CryptoMessiah) February 3, 2021
OOOONNEEE more $Rook post.
Before i get into the REALLY cool shit i want to talk about, let me discuss the arb mining mechanics that were present during the initial distribution phase.
See this image, that's the keeperdao treasury.
1/ pic.twitter.com/Z2sMsZN9jo
Before we really get into the meat of this... please do understand that the hiding game is currently in alpha. Hardware wallets don't work w/ it yet (they will soon).
Sometimes orders go unfilled (improving every day).
2/
A bit more context:
Limit orders on an amm aren't limit orders in the traditional sense. They are actually arbitrage opportunities for keepers. Keepers are bots that operate in the dark forest of ethereum.
3/
Now, let's say you use a service like 1inch or matcha to set your limit orders.
Let's say eth is $900 and you want to sell at $1000.
Eth pumps to $1040 rapidly, a keeper fills your limit order for $1000... everyone is happy. But wait... who gets the extra $40 here?
4/
Hint: it's not you! But what if you could?
This is where the hiding game comes in.
https://t.co/6sBlUWfw00
When you submit a limit order through the hiding game, @Keeper_DAO takes the $40 (or w/e amount) referenced above (this is MEV) and pushes it to the treasury.
5/
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This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.