23 days ago
Product23 days ago
ProductIntroducing: Upshot Lending Strategies
Upshot has entered the NFT Lending space. Our lending strategies, which leverage our appraisal models and new infrastructure built specifically for lending, appeals to a range of liquidity providers with different risk profiles.
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24 days ago
ProductIntroducing Collection Recommendations
A reliable recommendation engine is important for the growth of the NFT industry and the marketplaces that operate within it. So, we built one.
![Upshot Changelog [23-02-24]](http://images.ctfassets.net/lhkcghnr8ql4/3aJZDt2SeVPuqF2vOgM3r4/cab5d72da4daa5cacdc1f15670b2d5fc/changelog.001.jpeg)
a month ago
ChangelogUpshot Changelog [23-02-24]
Upshot changelog: February 24th 2023
a month ago
ChangelogUpshot Changelog [23-02-17]
Upshot changelog: February 17th 2023
3 months ago
Research
How to Build ML-Powered NFT Appraisals At Scale
At Upshot, we combine our deep understanding of NFT markets with real-time market data and advanced machine learning models to produce NFT appraisals with industry-leading accuracy spanning a huge number of collections: - Upshot appraises over 57M assets from over 32k collections (and growing every day). - Appraisals are refreshed hourly, so they are never stale - Our performance is industry-leading, with Median Absolute Percentage Errors (MAPE) for the more popular and liquid collections, typically between 3 - 8% and ~11% on average for less-liquid collections
a year ago
Research
Explaining NFT Pricing with Machine Learning
The final installment in our blog series exploring the use of machine learning to accurately price NFTs. You can read the previous entry on determining what matters for NFT valuation [here](https://mirror.xyz/0x82FE4757D134a56BFC7968A0f0d1635345053104/hYImuHzw3_Pu-pYxVIoEbjguRKST-eeN_8eBKNgzQls). 
a year ago
Research
Determining What Matters for NFT Valuation
The third installment in our blog series exploring the use of machine learning to accurately price NFTs. Over the last few weeks, we’ve been diving deeper into how we use machine learning and crowd intelligence to generate automated and up-to-date NFT pricing, why machine learning models are important to achieve reliable valuations at scale, and much more. You can read the previous entry on taking NFT pricing to the next level with machine learning [here](https://mirror.xyz/0x82FE4757D134a56BFC7968A0f0d1635345053104/7H7NJWxVNZfYC4aIeJ6_wZ6LT1JtM_a1y5RZv4X1VNc). 
a year ago
Research
The Sotheby’s Ape Auction: How Upshot’s Appraisal Performed
Sotheby’s Auction House recently hosted an auction of 101 Bored Ape Yacht Club NFTs in another milestone for crypto collectibles. Prior to the auction, Sotheby’s estimated the value of the collection at $12–18m. We ran our machine learning models to value the Bored Apes on offer and stored the estimate on the blockchain before the auction ended. We arrived at a valuation of $25.3m for the bundle. The winning bid? $24.4m.
3 months ago
ResearchHow to Build ML-Powered NFT Appraisals At Scale
At Upshot, we combine our deep understanding of NFT markets with real-time market data and advanced machine learning models to produce NFT appraisals with industry-leading accuracy spanning a huge number of collections: - Upshot appraises over 57M assets from over 32k collections (and growing every day). - Appraisals are refreshed hourly, so they are never stale - Our performance is industry-leading, with Median Absolute Percentage Errors (MAPE) for the more popular and liquid collections, typically between 3 - 8% and ~11% on average for less-liquid collections
a year ago
ResearchExplaining NFT Pricing with Machine Learning
The final installment in our blog series exploring the use of machine learning to accurately price NFTs. You can read the previous entry on determining what matters for NFT valuation [here](https://mirror.xyz/0x82FE4757D134a56BFC7968A0f0d1635345053104/hYImuHzw3_Pu-pYxVIoEbjguRKST-eeN_8eBKNgzQls). 
a year ago
ResearchDetermining What Matters for NFT Valuation
The third installment in our blog series exploring the use of machine learning to accurately price NFTs. Over the last few weeks, we’ve been diving deeper into how we use machine learning and crowd intelligence to generate automated and up-to-date NFT pricing, why machine learning models are important to achieve reliable valuations at scale, and much more. You can read the previous entry on taking NFT pricing to the next level with machine learning [here](https://mirror.xyz/0x82FE4757D134a56BFC7968A0f0d1635345053104/7H7NJWxVNZfYC4aIeJ6_wZ6LT1JtM_a1y5RZv4X1VNc). 
a year ago
ResearchThe Sotheby’s Ape Auction: How Upshot’s Appraisal Performed
Sotheby’s Auction House recently hosted an auction of 101 Bored Ape Yacht Club NFTs in another milestone for crypto collectibles. Prior to the auction, Sotheby’s estimated the value of the collection at $12–18m. We ran our machine learning models to value the Bored Apes on offer and stored the estimate on the blockchain before the auction ended. We arrived at a valuation of $25.3m for the bundle. The winning bid? $24.4m.