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DeFiMath
Fast Math & Derivatives Solidity Library
DeFiMath is an open-source Solidity library offering optimized math and DeFi primitives, designed for precision and efficiency in financial calculations. Compared to other open-source libraries, it offers more optimized Solidity functions, with outstanding precision. If you are building in DeFi, you'll going to need fast and safe math, as well as derivatives, options, greeks, compounding interest, ARR, conversions, and statistics. Check it out!
DefiMath started as a library for optimized Black-Scholes calculations, needed mainly for on-chain European options pricing. I soon implemented all the Greeks needed.
Since Black-Scholes model is computationally heavy, I had to optimize a lot of math functions, namely exp, ln, sqrt and stdNormCDF. After that I realized that my math is quite good, and actually faster (consumes less gas) than all of the Solidity libraries existing in space. So I bundled all together into one easy to use MIT licensed bundle.
I added over 30+ more functions used across DeFi: binary options for prediction markets, statistical and rate functions used in vaults, bots, and by market makers. All optimized, because sitting on a highly optimized math. Everything is 100% tested, audit coming soon.
About DeFiMath on Product Hunt
“Fast Math & Derivatives Solidity Library”
DeFiMath was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #41 on the daily leaderboard. DeFiMath is an open-source Solidity library offering optimized math and DeFi primitives, designed for precision and efficiency in financial calculations. Compared to other open-source libraries, it offers more optimized Solidity functions, with outstanding precision. If you are building in DeFi, you'll going to need fast and safe math, as well as derivatives, options, greeks, compounding interest, ARR, conversions, and statistics. Check it out!
On the analytics side, DeFiMath competes within Fintech, GitHub, Web3 and Cryptocurrency — topics that collectively have 101.5k followers on Product Hunt. The dashboard above tracks how DeFiMath performed against the three products that launched closest to it on the same day.
Who hunted DeFiMath?
DeFiMath was hunted by Nebojsa Konstantinovic. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DeFiMath including community comment highlights and product details, visit the product overview.
Nebojsa Konstantinovic