长期持有 HYPE,除了拿约 2% 的质押收益,还能做什么?
叠加资金费策略,再到 PURR 折溢价交易:实盘 107 天超额收益 17.9%,历史年化约 60%,最大回撤 9.9%。
这篇讲清收益从哪里来,以及每一层要付出的成本和风险。
$PAPER 值多少钱?
如果 Papertrade 每天约 2,000 万美元的总亏损能持续,可能0.05的成本挖Paper都是划算的
What is $PAPER worth if daily gross trading losses stay near $20M?
Papertrade’s issuance curve connects trader losses, token dilution and staking dividends. We mapped out what that means for valuation.
🔵 Our selected scenarios
🟡 Current scale, longer horizons
Full analysis in the quoted post.
@papertrade_xyz @paperstrategy_ @izebel_eth
What is $PAPER worth if Papertrade keeps generating ~$20M in daily gross trading losses—or activity falls sharply?
I modeled 28 scenarios across business scale, shutdown and recovery, accounting for future dilution and staking dividends.
Barker Intern retweeted
What is $PAPER worth if Papertrade keeps generating ~$20M in daily gross trading losses—or activity falls sharply?
I modeled 28 scenarios across business scale, shutdown and recovery, accounting for future dilution and staking dividends.
What is $PAPER worth if Papertrade keeps generating ~$20M in daily gross trading losses—or activity falls sharply?
I modeled 28 scenarios across business scale, shutdown and recovery, accounting for future dilution and staking dividends.
有个钱包在 Hyperliquid 上借了约 3,475 万 USDC,它在做什么?
看起来是一个 14%+ APY 的 delta 中性资金费策略:这个策略普通人也能自己搭,代码已开源,详解在文章里👇
xitter.cf/barkerintern/status/21…
稳定币想拿高息,除了追补贴、买理财产品,还有第三条路:自己搭一个收益策略。手动就能搭建,建仓后几乎不用管理。
我们在 Hyperliquid 上实盘运行 76 天,净值增长 2.45%,折算历史年化 12.33%。
详解收益来源、手动建仓方法,公开了钱包地址和策略代码。
完整文章👇
已开源代码仓库和AI skill github.com/royrzguo/hype-fun…
Barker Intern retweeted
BREAKING: The odds of aliens being confirmed this year are soaring.
And, yes, you can make money on the aliens 👇
Barker Intern retweeted
One important technical item that I forgot to mention is the proposed switch from Casper FFG to Minimmit as the finality gadget.
To summarize, Casper FFG provides two-round finality: it requires each attester to sign once to "justify" the block, and then again to "finalize" it. Minimmit only requires one round. In exchange, Minimmit's fault tolerance (in our parametrization) drops to 17%, compared to Casper FFG's 33%.
Within Ethereum consensus discussions, I have always been the security assumptions hawk: I've insisted on getting to the theoretical bound of 49% fault tolerance under synchrony, kept pushing for 51% attack recovery gadgets, came up with DAS to make data availability checks dishonest-majority-resistant, etc. But I am fine with Minimmit's properties, in fact even enthusiastic in some respects. In this post, I will explain why.
Let's lay out the exact security properties of both 3SF (not the current beacon chain, which is needlessly weak in many ways, but the ideal 3SF) and Minimmit.
"Synchronous network" means "network latency less than 1/4 slot or so", "asynchronous network" means "potentially very high latency, even some nodes go offline for hours at a time". The percentages ("attacker has <33%") refer to percentages of active staked ETH.
## Properties of 3SF
Synchronous network case:
* Attacker has p < 33%: nothing bad happens
* 33% < p < 50%: attacker can stop finality (at the cost of losing massive funds via inactivity leak), but the chain keeps progressing normally
* 50% < p < 67%: attacker can censor or revert the chain, but cannot revert finality. If an attacker censors, good guys can self-organize, they can stop contributing to a censoring chain, and do a "minority soft fork"
* p > 67%: attacker can finalize things at will, much harder for good guys to do minority soft fork
Asynchronous network case:
* Attacker has p < 33%: cannot revert finality
* p > 33%: can revert finality, at the cost of losing massive funds via slashing
## Properties of Minimmit
Synchronous network case:
* Attacker has p < 17%: nothing bad happens
* 17% < p < 50%: attacker can stop finality (at the cost of losing massive funds via inactivity leak), but the chain keeps progressing normally
* 50% < p < 83%: attacker can censor or revert the chain, but cannot revert finality. If an attacker censors, good guys can self-organize, they can stop contributing to a censoring chain, and do a "minority soft fork"
* p > 83%: attacker can finalize things at will, much harder for good guys to do minority soft fork
Asynchronous network case:
* Attacker has p < 17%: cannot revert finality
* p > 17%: can revert finality, at the cost of losing massive funds via slashing
I actually think that the latter is a better tradeoff. Here's my reasoning why:
* The worst kind of attack is actually not finality reversion, it's censorship. The reason is that finality reversion creates massive publicly available evidence that can be used to immediately cost the attacker millions of ETH (ie. billions of dollars), whereas censorship requires social coordination to get around
* In both of the above, a censorship attack requires 50%
* A censorship attack becomes *much harder* to coordinate around when the censoring attacker can unilaterally finalize (ie. >67% in 3SF, >83% in Minimmit). If they can't, then if the good guys counter-coordinate, you get two non-finalizing chains dueling for a few days, and users can pick on. If they can, then there's no natural schelling point to coordinate soft-forking
* In the case of a client bug, the worst thing that can happen is finalizing something bugged. In 3SF, you only need 67% of clients to share a bug for it to finalize, in Minimmit, you need 83%.
Basicallly, Minimmit maximizes the set of situations that "default to two chains dueling each other", and that is actually a much healthier and much more recoverable outcome than "the wrong thing finalizing".
We want finality to mean final. So in situations of uncertainty (whether attacks or software bugs), we should be more okay with having periods of hours or days where the chain does not finalize, and instead progresses based on the fork choice rule. This gives us time to think and make sure which chain is correct.
Also, I think the "33% slashed to revert finality" of 3SF is overkill. If there is even eg. 15 million ETH staking, then that's 5M ($10B) slashed to revert the chain once. If you had $10B, and you are willing to commit mayhem of a type that violates many countries' computer hacking laws, there are FAR BETTER ways to spend it than to attack a chain. Even if your goal is breaking Ethereum, there are far better attack vectors.
And so if we have the baseline guarantee of >= 17% slashed to revert finality (which Minimmit provides), we should judge the two systems from there based on their other properties - where, for the reasons I described above, I think Minimmit performs better.
Finally, the block building pipeline.
In Glamsterdam, Ethereum is getting ePBS, which lets proposers outsource to a free permissionless market of block builders.
This ensures that block builder centralization does not creep into staking centralization, but it leaves the question: what do we do about block builder centralization? And what are the _other_ problems in the block building pipeline that need to be addressed, and how? This has both in-protocol and extra-protocol components.
## FOCIL
FOCIL is the first step into in-protocol multi-participant block building. FOCIL lets 16 randomly-selected attesters each choose a few transactions, which *must* be included somewhere in the block (the block gets rejected otherwise). This means that even if 100% of block building is taken over by one hostile actor, they cannot prevent transactions from being included, because the FOCILers will push them in.
## "Big FOCIL"
This is more speculative, but has been discussed as a possible next step. The idea is to make the FOCILs bigger, so they can include all of the transactions in the block.
We avoid duplication by having the i'th FOCIL'er by default only include (i) txs whose sender address's first hex char is i, and (ii) txs that were around but not included in the previous slot. So at the cost of one slot delay, only censored txs risk duplication.
Taking this to its logical conclusion, the builder's role could become reduced to ONLY including "MEV-relevant" transactions (eg. DEX arbitrage), and computing the state transition.
## Encrypted mempools
Encrypted mempools are one solution being explored to solve "toxic MEV": attacks such as sandwiching and frontrunning, which are exploitative against users. If a transaction is encrypted until it's included, no one gets the opportunity to "wrap" it in a hostile way.
The technical challenge is: how to guarantee validity in a mempool-friendly and inclusion-friendly way that is efficient, and what technique to use to guarantee that the transaction will actually get decrypted once the block is made (and not before).
## The transaction ingress layer
One thing often ignored in discussions of MEV, privacy, and other issues is the network layer: what happens in between a user sending out a transaction, and that transaction making it into a block? There are many risks if a hostile actor sees a tx "in the clear" inflight:
* If it's a defi trade or otherwise MEV-relevant, they can sandwich it
* In many applications, they can prepend some other action which invalidates it, not stealing money, but "griefing" you, causing you to waste time and gas fees
* If you are sending a sensitive tx through a privacy protocol, even if it's all private onchain, if you send it through an RPC, the RPC can see what you did, if you send it through the public mempool, any analytics agency that runs many nodes will see what you did
There has recently been increasing work on network-layer anonymization for transactions: exploring using Tor for routing transactions, ideas around building a custom ethereum-focused mixnet, non-mixnet designs that are more latency-minimized (but bandwidth-heavier, which is ok for transactions as they are tiny) like Flashnet, etc. This is an open design space, I expect the kohaku initiative @ncsgy will be interested in integrating pluggable support for such protocols, like it is for onchain privacy protocols.
There is also room for doing (benign, pro-user) things to transactions before including them onchain; this is very relevant for defi. Basically, we want ideal order-matching, as a passive feature of the network layer without dependence on servers. Of course enabling good uses of this without enabling sandwiching involves cryptography or other security, some important challenges there.
## Long-term distributed block building
There is a dream, that we can make Ethereum truly like BitTorrent: able to process far more transactions than any single server needs to ever coalesce locally. The challenge with this vision is that Ethereum has (and indeed a core value proposition is) synchronous shared state, so any tx could in principle depend on any other tx. This centralizes block building.
"Big FOCIL" handles this partially, and it could be done extra-protocol too, but you still need one central actor to put everything in order and execute it.
We could come up with designs that address this. One idea is to do the same thing that we want to do for state: acknowledge that >95% of Ethereum's activity doesn't really _need_ full globalness, though the 5% that does is often high-value, and create new categories of txs that are less global, and so friendly to fully distributed building, and make them much cheaper, while leaving the current tx types in place but (relatively) more expensive.
This is also an open and exciting long-term future design space.
firefly.social/post/lens/814…















