- Beyond Banks
- Posts
- Bitcoin lending on a layer-2 with smart contracts?
Bitcoin lending on a layer-2 with smart contracts?
Zest Protocol's, Best Bitcoin Loan Platform launch on Stacks
Zest Protocol has launched its inaugural lending markets on Stacks, a Bitcoin layer-2 platform, enhancing opportunities for BTC holders to engage in on-chain finance. This strategic move precedes the anticipated Nakamoto upgrade on Stacks, aimed at expanding the Bitcoin finance ecosystem.
Muneeb Ali, of Trust Machines, highlighted the role of robust capital markets in propelling Bitcoin to widespread adoption. He noted Zest Protocol's ambition to solidify Bitcoin's status as a global reserve asset, with the launch on Stacks marking a significant step in this direction.
Investor interest is surging around Runes, an upcoming Bitcoin protocol, especially with the Bitcoin finance sector's growth to a $1.3 billion total value locked, of which Stacks constitutes a significant portion. Zest Protocol's co-founder, Tycho Onnasch, sees the Stacks launch as a key move towards establishing a comprehensive infrastructure for Bitcoin lending, setting the stage for more extensive offerings in the DeFi space.
Zest Protocol, acclaimed by Blockworks as a leading Bitcoin loan platform in 2023, has demonstrated its commitment to security and innovation through consecutive smart contract audits by Coinfabrik and Least Authority.
Our Opinion:
Bitcoin lending markets present lucrative opportunities for Alternative lenders, potentially unlocking new revenue streams and client bases. On the other hand, it also calls for comprehensive understanding and risk management given the peculiarities surrounding Bitcoin and other cryptocurrencies—regulatory challenges, volatility, and restricted adoption. Therefore, the debut of Zest Protocol’s Bitcoin lending markets serves as both an opportunity for expansion and a reminder of caution for alternative lenders.
ChatGPT Tutorial: How to Use ChatGPT to Analyze Historical Data and Predict Loan Defaults
Train AI on your historical data. Detect default patterns humans miss.
You can utilize ChatGPT to analyze your own historical dataset, identify factors that contribute to defaults, and make more informed lending decisions.
At Cobalt Intelligence, we provide background data and can help you automate this process. If you're interested in learning more, please reach out to us.
Headlines You Don’t Want to Miss
Genesis introduces Genesis Web, a digital platform offering comprehensive automation in credit insurance processes, aiming to revolutionize the industry by enabling easier risk management and business recovery post-pandemic. The application integrates with insurers' existing infrastructures, providing instant access to data, secure transactions, and flexible underwriting options.
The forecasted impressive growth of the corporate lending platform market is driven mainly by advancements in technology, such as AI and machine learning, and the industry's willingness to digitize operations.
The Federal Reserve Bank of Kansas City reports a rise in farm debt in 2023, largely due to non-real estate loans for operations and livestock amidst falling crop and livestock prices, challenging the sector's financial health. Despite overall lending declines, banks and the USDA's Farm Service Agency remain key credit providers to farms.
Lenders report a significant rise in loan default rates in Q1, attributed to increasing interest rates, stricter credit standards, and economic uncertainties, leading financial institutions to reinforce their risk management strategies. Certain regions and sectors face more severe impacts, signaling differentiated stress across the economy.
Schedule a FREE Demo Call with Jordan
Get Free Access to our Alternative Finance Disclosure Law Helper GPT
Get Free Access to our Cobalt Modern Underwriter GPT
Get Free Access to our Alternative Funding Expert GPT
Get Free Access to our AI Credit Risk Tool
Create an account to Get Free Access to our Secretary of State AI Tool
Subscribe on our YouTube Channel here |
See us on LinkedIn |