Some people may recommend that you give Sage a try, which is Python-based. There is not really an open-source alternative in terms of features and cohesiveness-of-design. Wolfram made this to expose more people to Mathematica, I suppose. " Constant function market makers: Multi-asset trades via convex optimization." arXiv preprint 2107.12484 (2021). It wont be fast but its surprisingly usable. Value at the current reserves, i.e., the function is held constant." - From Angeris, Guillermo, et al. A proposed trade is accepted if the value of the tradingįunction at the post-trade reserves (with a small correction for the trading fee) equals the The rule is based on evaluating a trading function, which depends on the proposed trade and "CFMMs use a single rule that determines whether or not a proposed trade is accepted. The reason for this name comes from their use of an invariant trading function: In the literature, AMMs is also known as constant function market makers (CFMMs). ![]() ![]() First popularized by Uniswap, AMMs are a fundamental piece of decentralized finance (DeFi), and many types of AMMs exist today. Mathematica-users (or other CAS-users) that are curious about applications of these tools to DeFi.Īutomated market makers (AMMs) are smart contracts that helps users to swap between assets without using the traditional approach of order books.Highs Library of mathematics equations Complex arithmetic 2D and 3D geometric visualization. When people tell me that Mathematica isn’t fast enough, I usually ask to see the offending code and often find that the problem isn’t a lack in Mathematica‘s performance, but sub-optimal use of Mathematica.I thought I would share the list of things that I look for first when trying to optimize Mathematica code. Developers interested in creating new lending protocols that accept LP tokens (that are more complex than Uniswap) as collateral Mathematica opens up a world of experiments and analysing, and lets you visualize complicated concepts.This post may interest the following audience: This post will illustrate how to use computer algebra systems (in particular, Mathematica) for solving a security problem in DeFi, that is, the "safe" computation of prices of LP tokens. Finance, Statistics & Business Analysis. ![]() ![]() Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.
0 Comments
Leave a Reply. |