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We wrote this article just recently at Resolv Labs to illustrate what could be expected from the protocol instruments in terms of yield. Proud that we have modeled distribution functions of perpetual futures funding rates! Implementing this research into our scenario simulations will help us structure protocol parameters in a way that better caters to investors' risk-reward profiles. https://lnkd.in/efj8skMB

Dynamic allocation of compute based on complexity of token - elegant: https://lnkd.in/eM8QneXP Thanks, AlphaSignal for the picture and the cue to the paper

In our next session, I want to talk about Go routines, but before we dive into this topic, it's important to understand the difference between concurrency and parallelism—a fundamental concept all developers should know.

Concurrency vs Parallelism Recently I watched a video and read some articles that really helped me drive home the distinction between Concurrency and Parallelism CONCURRENCY = Appearing as if running multiple things at once PARALLELISM = *Actually* running multiple things at once Parallelism is only a SUBSET of Concurrency. Parallelism is one technique for concurrent execution, in addition to other techniques such as context-switching/time-slicing where the CPU constantly switches between tasks on regular intervals of ~15ms or when IO wait occurs. So the comparison of "Concurrent vs. Parallel" is a bit misguided, since parallel is also concurrent. Often, we actually want to compare Non-parallel (i.e. task switching) vs Parallel. Though nowadays, when someone says "concurrent", I feel that they are likely to mean the task-switching concurrent Much credit to Dave's space on YouTube (video link is in comment)

This question comes up a lot: What's the difference between async and parallelism and when to use each? See the slides below. Read how to leverage them in dlt docs: https://lnkd.in/eGstTfn3

A simple explanation of when to leverage async and when to leverage parallelism for increased pipeline performance ->

😱 your private key 😎 Never Use A Env File. 🚨 Patrick Collins. Cyfrin Updraft Moving Beyond Environment Variables Solution: Encrypting your Keys Using ERC2335 The solution to this issue lies in the use of ERC2335. This is nothing but a nifty system that enables us to convert private keys into a secure JSON format. Let’s assume that your private key is the same as the default key that comes along with the Anvil development package. On running Anvil, you receive an output where you can locate said key. Once you have your key, from your terminal, go ahead and run the following command: cast wallet import defaultKey --interactive https://lnkd.in/e_NjZSKN

High-frequency trading (HFT) is a subset of algorithmic trading that focuses on executing trades at incredibly high speeds, that involves the use of powerful computers and algorithms and is a major focus of research and development in the financial industry 💲 💹 Quside RPUs emerge as a pivotal tool, notably enhancing simulation speeds and algorithm efficiency through its stochastic optimization solutions 💥 👉 Learn more about the full application of the RPU at HFT 👇 https://lnkd.in/dxrSyUmu

Delve into the potential of quantum computing in revolutionizing complex financial calculations. Discuss how quantum computing's immense computational power can impact risk assessment, portfolio optimization, and algorithmic trading.