Earning yield/ "LP"ing is marketed as "passive income" as if risk-free, but in fact that's a traitorously inaccurate sales pitch for what it ACTUALLY is:
Covered options writing.
An exposé on the real risks & returns👇.
🧵/
1/ People think it's like holding treasuries. It's not.
Returns on yield farming depend on:
- absolute returns of the underlying (aka beta)
- impermanent loss (aka relative volatility)
- fees & rewards (theta premium)
- capital concentration - @Uniswap V3 (strike selection)
Returns on treasuries (and safe/IG bonds) depend on:
- interest rates
- inflation
For high yield bonds, add:
- counter-party/default risk
- liquidity risk
Clearly "yield" in TradFi and "yield" in DeFi look NOTHING alike.
LP yield is more like betting on options premium. Why?
2/ Dampened downside in stable pools
Say u LP into an $ETH/$DAI stable pool w/ 1 $ETH + 4416 $DAI ($8832 @ time of lockup).
If $ETH drops 30% next week:
Say u get back 1.2 ETH + 3708 DAI (1.2*70%*4416).
That's $7416 or -16% ROI.
i.e It's like buying the stock + fractional put.
3/ Dampened upside in stable pools (ur opportunity cost vs. hodling the underlier)
Continuing with the 1 $ETH + 4416 $DAI example...
If $ETH instead moons 2x next week:
Say u get back 0.6 ETH + 5299 DAI (0.6*2*4416).
That's $10598, or 20% ROI...
< 100% ROI if u'd just hodl'ed.
Here it's like you're selling a fractional covered call (e.g. long 1x ETH, short a 0.8x call with at-the-money strike).
Fees earned from liquidity mining are like the upfront options premia of selling a call. Fixed value guaranteed but not vs. the volatility of the underlying.
4/ Un-dampened downside + upside in non-stable pools
Say u LP into a BTC/ETH pool w/ 1 $BTC + 14.3 $ETH (worth $122.2K).
If both coins equally crash 30% next week:
U get back the same 1 BTC + 14.3 ETH.
But now it's $85.5K.
Ur not hedged.
Ur holding naked longs w/ no stop loss.
5/ Add in fees & rewards
For simplicity, let's consider the Uniswap v1/v2 case where the protocol pays LPs 0.3% of trades in fees + some governance tokens as rewards.
What happens to your risk/loss function when we add fees & rewards?
It's a vertical shift up [see diagram]
Without fees, whenever the relative price of the 2 tokens in a swap diverge (left or right along the IL curve), LPs lose out.
Add in fees (i.e. options premium) to compensate the shorts and the risk function resembles a straddle (sell 1 Put + sell 1 Call)
Here's a side-by-side:
TLDR: Yield farming on an AMM doesn't actually pay a "yield."
It pays an options premium resembling somewhere between a covered call strategy and a short straddle strategy.
It's not passive income.
It's not guaranteed profit.
Know your risks before you trade.
If you didn't fully understand this thread / feel like you're missing financial context, check out some of my more "intro" finance threads on market-mapping the DeFi ecosystem, options premiums, and AMMs/liquidity provision:
RWAs: US-China's Chess Game for Financial Hegemony
On 6/24: 国泰君安, China’s #1 broker, jumps 300% on Hong Kong’s ok to be the first SOE stablecoin dealer.
7/17: Trump signs Genius Act.
8/1: HK follows quickly w/ Stablecoin Bill.
Among Chinese finance circles, RWA is all anyone's talking about right now.
What’s changed these last 3 months to turn tokenization from the wet dream of on-chain zealots to the queening pawn of Chinese Wall St?
And where do we go next?
👇
🧵
1/ RWA Universe
First, the basics.
What's an RWA anyways?
Literal def: a “real world asset”, aka any qty of anything wrapped as a crypto so as to:
(a) increase access or
(b) skirt KYC
My def: a synechdoche for stablecoins, aka the tug of war for dollar dominance.
Not to throw shade, but here's my corrected market map (Labubu is rapidly upping China's soft power so it can stay 🙃).
2/ Stablecoins - the only RWA that matters
Stablecoins = Currency = 99% USD-linked
i.e. the story of stablecoins is currently the story of supply and demand for US dollar; different countries' people reveal their preferences through the net inflows/outflows of USDT and USDC
What's critical to realize is that stablecoin trading volumes are still VASTLY DOMINATED BY MARKET PARTICIPANTS IN ASIA (esp. Korea, HK, China, India, Japan, Taiwan).
As shown below, USDT accounts >62% of transaction volumes and is >2.5X USDC, and is by far the most dominant coin used in APAC.
Nvidia is about to become the 1st trillion-dollar chipmaker, after surging $200B in valuation in a single day.
But when cofounders Jensen, Chris, & Curtis started the company in 1993, they had only $40K in the bank.
Here’s Nvidia’s founding story, from 0 to Taxman of AI.
👇
🧵/
1/ On Day 0
The idea came together over breakfast at Dennys — to bring 3D graphics computing to the burgeoning video game industry.
The risk was clear—$10M+ initial capex needed to ship the first accelerator with no pre-committed customers, no funding, and huge technology &… twitter.com/i/web/status/1…
2/ Cofounders take action
So Jensen quit his director job at chipmaker LSI Logic (now Broadcom). And Chris and Curtis quit their engineering jobs at Sun Microsystems.
Nvidia initially had no name and the co-founders named all their files NV for “next version.” When the founders… twitter.com/i/web/status/1…
(with real examples, each scored #/10 on usefulness & accuracy)
👇
1/ Sourcing potential clients
score: 9/10
Prompt:
"Find 50 [insert business, eg. brokers] in [target region] that [do X, eg. offer US stocks on their investment app]?
Indicate each's website, HQ, & [other relevant info: eg. their custodial partner]. Put everything into a chart.
2/ Forming Google Dork queries to refine souring
score: 9/10
If your clients are also clients of X & if you know what terms are in a standard partnership agreement, you can Google DORK to source many more "hidden" candidate clients that have no publicly announced partnerships!