🤿Today's Deep-dive will be on the #MACROScore. How is it generated? 🤔 Let's Begin ⬇️
The #MACROScore is created by connecting either a single wallet or a bundle of wallets to Spectral’s App.
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The App retrieves all #DeFi and non-DeFi-related transactions associated with 1 or more wallet & engineers a Score ranging from 300 (low creditworthiness), up to a max Score of 850 (high creditworthiness).
The #MACROScore is powered by a continuously updated training dataset and #MachineLearning#ML model. Here are some key stats:
There are 7 broad categories of information used to determine the Score, which cover nearly 100 features! Let's dive in:
1 - DeFi Transaction History
@SpectralFi examines who and what you’ve transacted with, the nature and volume of each transaction in terms of borrowings, repayments, and more.
2 - Liquidation History
The #MACROScore uses liquidation as a proxy for loan default. A higher appetite for risk translates into less creditworthiness or a flag for speculative behavior.
3 - Loan Safety Margin
Spectral also evaluates the amount of headroom maintained as part of your borrowing activities. The higher the historical level of #DeFi collateralization maintained, the more risk-averse a user tends to be, improving the #MACROScore.
4 - Age or Time-Based Factors
The #MACROScore also evaluates whether a user has an established and reasonably long history of #DeFi and other on-chain activities. Older wallets can usually be expected to score higher as long as they have maintained a clean credit history.
5 - General Wallet History
Factors such as wallet balance, wallet composition, and general #ERC20 and #NFT transactions can represent changing balances, and risk tolerance, and give insight into a user's on-chain behavior.
6 - Market Conditions
The #MACROScore also takes into account general market volatility prevalent at the time of borrowing activities and further factors into how they might’ve impacted liquidations.
7 - Credit Mix
The #MACROScore also considers the mix of #DeFi lending protocols a user has interacted with. Although a diversified credit mix is not required for a high Score, it's advisable to interact with a variety of #DeFi lending protocols to spread one's risk.
But Programmable Money is capital inefficient and over collateralization left most users sidelined
On chain risk assessment could help but hasn't emerged yet🧵
2/ TradFi creditworthiness assessment has been stagnant.
3 major bureaus & @FICO have monopolized the space for decades. Incremental advancement has happened at the application layer for alternative datasets to be included but the underlying infrastructure has not changed.
3/ DeFi creditworthiness assessment has been non existent.
The industry has seen exponential growth but has been capital inefficient. All users receive the same loan terms creating a flat landscape. On chain transaction history has been neglected as a differentiator