Wanted to share my own investment process to document how I'm thinking now.

A thread, not advice of any kind πŸ‘‡
1/ When it comes to liquidly traded cryptoassets, my investment strategy can be summed up as follows:
2/ First, some background:

When I first started investing in crypto, I focused on making thesis-driven bets with a multi-month to year time frame.

There wasn't any real process besides finding what seems like a good project and buying it.
3/ However, even after coming up with the most meticulous valuation models, market prices rarely seemed to reflect any of my fundamental projections.

One of the reasons was no one can predict when adoption for new technologies happen, so growth assumptions are way off.
4/ But more importantly, I was blindly applying equities analysis framework today to a market that was nascent and had no consensus around valuation approaches.

e.g. Using NVT sounds like a crypto-proxy for PE ratios, but real prices have barely any relation to it.
5/ Since we're on the topic of valuation, an aside...

Whenever I feel like I'm thinking too small in crypto, I look back to one of the earliest attempts at valuing Bitcoin (by none other than @CremeDeLaCrypto!), back in 2016.

The report had a price target of $62 / BTC πŸ‘€
6/ Anyway, back to my investment process.

Crypto has come a long way since the days of using NVT to look at which Layer 1 is "underpriced".

Today, DeFi generates millions in fees *daily*, allowing for more sophistication around valuations.
7/ My intuition: the lower the price, the less room it has to fall (margin of safety)...typically.

Having a quantifiable screen (e.g. absolute FDV, mcap/TVL, mcap/revenue, inflation-adjusted revenues, ) helps me quickly screen for things that may be underpriced.
8/ I say "typically" since illiquidity can be the reason behind gross mispricings.

In a market selloff, thin liquidity will exacerbate downside. 2018's 99% drawdowns, anyone?

9/ Given the lack of consensus around valuation frameworks, having too strong of a valuation screen will also lead you to miss out on profitable investments.

e.g. $SNX, which traded at a high premium but outperforming DeFi at multiple points.
10/ Which is why (2) is important.

Ever noticed how when crypto rallies, it does so in categories? We had the algo-stable craze in July 2020, DeFi summer in late 20, NFT bubble in 2021, then ETH/BTC rally in 2021.

Understanding capital rotation is key.
11/ It doesn't matter if an asset seems "cheap" - it can always get cheaper (value trap).

Crypto today has the attention span of a 5-year old child. Imagine sector rotations in equities, but shrink that down to weeks, even days!

12/ This doesn't mean sell everything not in vogue and chase every trend.

It simply informs how aggressive and quickly I want to size an asset, or if I want to wait and be patient.
13/ Say you found an undervalued DeFi token generating real revenues, and think DeFi as a sector is making a comeback.

(3) is where the real work is done. This is where you dive deep into the project, and understand it intimately.
14/ This involves understanding the product roadmap, mechanism design, trade offs, and competitors.

Practically this means using the product, speaking to developers, reading docs, lurking in community forums, reading research reports, quantifying user/fee growth.
15/ Step (3) is the most intensive.

Use tools and resources like @DuneAnalytics @tokenterminal @Delphi_Digital @MessariCrypto @nansen_ai

Using them may not always give you an edge, but not using them is a handicap.

If you work at a fund, convince your boss to pay for these.
16/ I lump (4) and (5) together because they ask a similar question: what will cause this asset to re-price (or not)?

As a corollary, you should know your re-underwriting price - i.e. how much do you allow your asset to fall in price before re-assessing whether you were wrong?
17/ What constitute as catalysts?

Bullish example: governance proposal for new token update that is not properly priced in (e.g. long $AAVE in 2020, +5000% since)
18/ Then finally, once all the boxes are checked, comes arguably the equally important part: sizing.

In most funds, no one but the CIO/ portfolio manager gets a say over sizing. This is the single biggest differentiator between returns for funds who are in roughly the same bets.
19/ I'll leave the topic of sizing for another thread.

In summary, the framework I used which resulted in ~75%+ of my investments outperforming a weighted index of top 30 cryptos over the bear and bull phases of the past 3 years is as follows:
20/

1. Find something mispriced
2. Find out if it's idiosyncratic
3. Understand the product inside-out
4. Know why the market is pricing it where it is today, and make the case for why it won't

And above all, ignore noise, and constantly evolve the above process

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More from @mrjasonchoi

5 Jul
A lot of my threads are commentary on the latest projects and events in crypto.

Pinning this meta-thread to keep track of more "timeless" threads in case they're helpful to anyone.
Why "fully diluted valuation" is not a meme.

Taking advantage of illiquidity and mispricings.

Read 8 tweets
29 Jun
Will regulations end up killing DeFi?

A thread πŸ‘‡
1/ As someone not based in US, keeping track of the alphabet soup of regulators (SEC, CFTC, IRS, FinCEN) can be daunting.

That's because unlike China, there's no comprehensive, unifying stance issued by one entity.

insights.deribit.com/market-researc…
2/ Over the past 12-24 months, individuals within different regulatory bodies in the US have offered various comments and draft regulations on DeFi.

Following is my rough summary of notable comments.
Read 8 tweets
24 Jun
Some of my favorite @theBlockcrunch episodes from past 6 months.

Insights from some of the biggest brains in crypto and DeFi to help you level up.
1/ For the traders out there...

@SplitCapital discusses his strategy, what he looks at when trading, and how the pros consistently take your money.

2/ Missed the NFT wave?

@richardchen39 was one of the earliest/ biggest NFT bulls. He shares why it's just the beginning for NFTs, and specific things he looked at to identify his early winners

Read 5 tweets
23 Jun
Fixed income: the next big opportunity in DeFi?

A thread πŸ‘‡
1/ While a nascent vertical in DeFi, fixed income is a *massive* market in legacy finance.

The estimated size of global fixed income instruments today is more than $120 TRILLION.
2/ Fixed income is a broad term referring to everything from treasury bills and corporate bonds.

The basic idea is financial instruments that generate a fixed interest to holders.

Contrast this with lending on @AaveAave, where your interest is variable.
Read 9 tweets
22 Jun
A thread on @theBlockcrunch's backstory.

Figured there may be a lesson for young people without highly differentiable skills trying to get their start in crypto.

For anyone interested...
1/ I grew up in local schools in Hong Kong - that means everyone wanted to be a doctor or lawyer.

There was 0 startup culture, no one talks about tech, no one's building the next unicorn.
2/ So when I got to the US for college, I was completely blown away by the startup fever.

Everyone was trying to become the next Zuck, and virtually everyone had a startup idea lol
Read 20 tweets
20 May
Are whales cashing out of $BTC?

What about $ETH?

Let's take a look at the data.
1/ From the run up from $17K - $60K, addresses with more than 10K $BTC have been falling.

From January to April when $BTC almost doubled in price, there was a roughly 10% reduction in mega whales.

Because the number is so low and may contain exchange addresses it's a bit fuzzy.
2/ Addresses with >1K $BTC ($40M currently) is likely more representative of "whale"/ long term believers.

This was a sharper bunch and basically started selling around $38K, all the way to the top.
Read 13 tweets

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