Delphi Labs presents: a Dynamic Interest Rate Model Using Control Theory
In this piece, we explore an alternative pricing solution which we believe to be more capital efficient and better suited to the dynamic crypto market. delphidigital.io/reports/dynami…
Lending OGs such as @compoundfinance and @AaveAave typically use a fixed price curve where the interest rate (IR) is determined according to the utilization rate of each money market.
While this model has proved useful and was a clever initial approach to the pricing problem, it has some limitations.
Specifically, it can be too rigid for the constantly evolving crypto market and cannot adjust to changes in external market conditions.
This rigidity can translate into 2 undesirable outcomes:
1⃣ Illiquidity in money markets where the IR doesn’t adjust quickly enough (i.e. when new yield farms pop up)
2⃣ underutilization of certain markets
So, how do we propose to solve this?
By incorporating control theory into the pricing mechanism.
Specifically, we propose using a PID controller that dynamically adjusts interest rates to target an optimal utilization within each money market. Let’s explore 👇
Simply put, the PID controller works as follows:
1⃣ It calculates the difference btwn the optimal utilization + the current utilization
2⃣ It adjusts the IR accordingly. All else being equal, the higher the difference, the higher the IR adjustment
3⃣ It repeats 1⃣ periodically
In contrast to the prevalent pricing model across DeFi, the PID model dynamically adjusts to market conditions.
Given that it doesn’t depend on a fixed curve, IRs within this model will keep adjusting whenever the current state is different than the desired one.
This model will be implemented by @mars_protocol, a lending protocol on top of @terra_money that’s currently being incubated by Delphi Labs.
If you’re a DeFi builder or part of a protocol and are interested in experimenting with this model, please reach out to us; we want to hear from you!
Special thanks to @euler_mab from @euler_xyz for his valuable help revising this report. The initial idea of using a PID Controller within the lending context came from his work in Euler XYZ.
Sui Network: Demystifying the Monolithic Contender
@SuiNetwork innovates blockchain scaling with vertical and horizontal approaches. Built by Mysten Labs, it features a novel storage model and uses the Move language for safety & efficiency. Let’s dive in👇
While Sui now scales vertically, it is also on the path to scale horizontally. By employing execution & consensus upgrades, new scaling possibilities could be unlocked while laying the ground for decentralization.
Sui has no public mempool, unlike Ethereum. Still, based on Sui’s transaction life cycle, we can see that full nodes and validators have visibility on transactions before they are executed.
The onchain economy is no longer a niche — onchain innovation is changing how we interact, trade, and create, from financial systems to gaming and collectibles.
An excerpt on Base’s role in the growing onchain economy. 👇🧵
Our latest consulting report dives into the recent growth of the onchain economy across major networks, with a focus Base’s position therein.
Most graphs cover data from January 2024 to October 2024. Metrics have continued to spike in November! Major networks analyzed include Bitcoin, Ethereum, Solana, Arbitrum, Avax, Base, Binance Smart Chain (BSC), Cosmos, Optimism, Polygon, Sei, and Sui.
Crypto x AI Month - Decentralized AI Training: Can It Dismantle Centralized Powerhouses?
Top experts @IridiumEagle, @DillonRolnick, @fenbielding, @johannes_hage debate how open-source and DeAI can rival tech giants, a panel hosted by @Shaughnessy119.
🗣 “What decentralization really gives us is the opportunity for a properly modular infrastructure where you could actually compose those models together.” - @fenbielding (@gensynai)
Timeboost, @arbitrum's new transaction sequencing policy, replaces first-come-first-serve with an auction for transaction priority.
Winners access an "express lane" with a 200ms advantage for transaction inclusion. This shifts competition from latency to strategic bidding and prediction.
Arbitrum uses first-come-first-serve (FCFS) transaction ordering based on sequencer arrival.
This enables fast blocks and reduces frontrunning, but it has drawbacks:
In the other hand, Timeboost auctions are held every minute for next-minute express lane control:
Auctioneer accepts bids for 45 seconds, with 15 seconds for resolution. Minimum bid: 3 $ARB or 0.001 $ETH (DAO decision). Limit: 5 bids per address per round. 👇
4 Potential Express lane strategies:
1️⃣ Predict MEV opportunities using price models for arbitrage and liquidations.
2️⃣ Capture real-time MEV during control period.
3️⃣ Establish secondary market by winning auctions and reselling rights.
4️⃣ Collaborate with others, sharing access when collective MEV exceeds individual extraction.
Timeboost shifts Arbitrum's MEV from speed to strategy via time-based auctions.
It generates DAO revenue, reduces spam, and allows flexible allocation.
This approach encourages strategic bidding, benefiting the ecosystem while enabling community-driven distribution.