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What problems do people experience when trading with leverage?
I think if Opyn launched a power^4 perp instead of #Squeeth, it would have succeeded. Here are my learnings on power perpetuals: medium.com/numoen/the-mar…
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Very nice design space for lending protocols spanned by Euler v2. Can't wait to integrate.
Some animated debates about lending protocol design have been going around recently. Let me take you through my view of things and where I see Euler v2 and its unique ability to chain together vaults and build lending vault clusters fitting in. By the end of this thread I hope…
Soon 👀
📣🦄 PSA: Uniswap v4-core (PoolManager) is entering a code-freeze soon™️ What does this mean? v4 features will be considered code complete. 🟣 No more features, additions, or refactors 🟣 No more breaking changes (i.e. the removal of hook permissions, how dynamic fees are…
Monad Labs is excited to announce a $225M fundraise, led by @paradigm
Ahead of the production release of DFMM, Primitive has developed several in-house strategies, each reflecting a unique use case. Keep your eyes peeled for an upcoming testnet launch demonstrating these examples. Soon™️
Here is just a short list of logic that may be implemented within a DFMM strategy: Access Control Liquidity Incentives Dynamic Swap Fees Automated Portfolio Rebalancing Circuit Breakers All strategies are ERC-20 composable, unlocking even more functionality!
Put simply, a DFMM strategy is the implementation of a trading function and the parameterization on top of it. Strategy developers choose (or develop) a trading function, then add additional business logic at their discretion within the strategy contract.
Can't wait for testnet? Thinking about building your own strategy? Check out the DFMM contracts here: github.com/primitivefinan…
The deeper magic is Einstein's 1905 paper showing how to measure the size of molecules by adding up the quadratic movement of particles. This is how option pricing works -- add up quadratic variation of financial particles (prices), adjust for drifts, and you get a price.
The same math explains why asset prices modelled as stochastic differential equations lead to option prices that can be modelled with partial differential equations (e.g. the Black Scholes equation)
Today we look at the 2-perpetual. This is a derivative that tracks the squared price of an asset. This seems almost a curiosity. Just because we can use the perpetual mechanism to construct a squared payoff, should we? In this thread, we look at the 2-perpetual in some detail…
I think if Opyn launched a power^4 perp instead of #Squeeth, it would have succeeded. Here are my learnings on power perpetuals: medium.com/numoen/the-mar…
3/5 With AMM positions you get IL, which needs to be compensated with LP fees. With x^2, x^3 power perps you get impermanent gain. So you can afford to pay the funding rate. Where is the gain coming from? 🤔
3/5 Adding x^3, x^4 etc perps to the mix allows to hedge the IL more precisely. For a full-range position the amount of perps to buy is relatively easy to find analytically. For a v3 position I have a curve-fitting algorithm here: github.com/atiselsts/unis…
2/5 A full-range Uniswap position has return of sqrt(P/P_0), where P is the current and the initial price. It's a 1/2 power perpetual. It follows that you can buy and hold a x^2 power perpetual to cancel most of the impermanent loss from holding the AMM position.
Power perpetuals are very cool idea, we should use them more! x.com/alpinechicken/… I'll share some of my own work on them. 1/5
New paper from @opyn_ x @paradigm with @andrewjleone and @danrobinson arguing that *everything* is a power perpetual. research.opyn.co/everything-is-… What do we mean by "everything"? - Stablecoins (@MakerDAO ) – power 0 perpetual - Margined perpetuals (@dYdX ) – power 1 - Spot…
Introducing Atlas: a generalized execution abstraction protocol for building application-specific orderflow auctions on the EVM github.com/FastLane-Labs/…
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