For the complete documentation index, see llms.txt. This page is also available as Markdown.

Assets & Risk Parameters

Each asset on AlphaFi Lend has unique risk parameters that determine how it can be used as collateral and borrowed. These parameters reflect the asset's volatility, liquidity, and overall risk profile

Core Risk Parameters

Loan-to-Value (LTV)

The LTV determines the maximum amount you can borrow against an asset.

LTV
Meaning

85%

Borrow up to 85% of collateral value

80%

Borrow up to 80% of collateral value

60%

Borrow up to 60% of collateral value

Higher LTV = More capital efficient, used for stable/liquid assets

Lower LTV = More conservative, used for volatile/newer assets

Why do assets have different LTV?

LTV reflects risk assessment:

  • Stablecoins (USDC, suiUSDT) — 85% LTV, minimal price volatility

  • Major assets (SUI, stSUI) — 85% LTV, high liquidity and established markets

  • Wrapped BTC variants — 80% LTV, bridge/wrapper considerations

  • Newer or volatile assets — 45-60% LTV, higher price risk

Lower LTV provides more buffer before liquidation if prices drop rapidly.

Liquidation Threshold

The liquidation threshold (LT) is the point at which your position becomes eligible for liquidation. This is typically set at 85-90% for most assets — generally 5% above the maximum LTV.

The gap between LTV and liquidation threshold provides a safety buffer:

  • At 80% LTV: LT is 85%, giving a 5% buffer before liquidation

  • At 85% LTV: LT is 90%, giving a 5% buffer before liquidation

Once your position exceeds the LTV ratio but remains below the liquidation threshold, you cannot withdraw collateral. This restricted zone acts as a warning period — your position is unhealthy, but not yet subject to liquidation.

Supply and Borrow Caps

Caps limit the total amount of each asset that can be supplied or borrowed:

  • Supply Cap — The maximum amount that can be deposited for an asset

  • Borrow Cap — The maximum amount that can be borrowed for an asset

Caps protect the protocol from:

  • Excessive concentration in a single asset

  • Liquidity risks during market stress

  • Oracle manipulation attacks

You can view current utilization against caps on each asset's detail page.

Asset Categories

Main Markets

The primary markets include established assets with standard risk parameters:

  • SUI and liquid staking derivatives (stSUI)

  • Major stablecoins (USDC, suiUSDT)

  • Wrapped Bitcoin variants

  • Other established tokens

Isolated Markets

Isolated markets contain assets that require additional risk management:

  • Newer tokens with less price history

  • Assets with lower liquidity

  • Tokens with additional smart contract risk

Assets in isolated markets may have:

  • Lower LTVs

  • Stricter borrow caps

  • Limited collateral usage

Ember Markets

Ember markets contain yield-bearing vault tokens from Ember Protocol.

When you deposit assets into Ember vaults, you receive a tokenized representation (e.g., eSUI) that accrues yield. These tokens can then be deposited into AlphaFi Lend and used as collateral, similar to how you would use the underlying asset like SUI.

Retired Markets

Retired markets contain deprecated assets. These are closed to new supplies and borrows but existing positions can be managed and closed.

Price Oracles

AlphaFi Lend uses Pyth price feeds to determine asset values across the protocol. These prices drive all core calculations — collateral valuations, borrow limits, liquidation triggers, and health factors.

How Oracle Prices Are Used

Calculation
Role of Oracle Price

Collateral value

Determines the USD value of your supplied assets

Borrow limit

Collateral value × LTV, derived from oracle prices

Liquidation check

Compares debt value to collateral value in real time

Health factor

Based on the ratio of collateral to debt at current prices

Pyth Network

Pyth provides high-frequency price updates sourced from institutional market data providers. Key characteristics:

  • Pull-based updates — Prices are updated on-chain when needed, reducing unnecessary transactions

  • Sub-second latency — Price data reflects near real-time market conditions

  • Multiple data sources — Each feed aggregates prices from numerous providers to reduce manipulation risk

Pyth is purpose-built for DeFi price feeds on high-performance chains like Sui. Its pull-based model aligns with Sui's architecture, delivering fresh prices without the overhead of constant on-chain updates. The breadth of institutional data sources provides resilience against single-source failures or manipulation.

Price Staleness

If an oracle price becomes stale or unavailable, the protocol may restrict operations on the affected asset to protect users from acting on outdated valuations.

Additional Parameters

Spread Fee

The spread between supply and borrow rates (typically 15%). This margin covers:

  • Protocol reserves

  • Risk buffer

  • Operational costs

Borrow Weight

A multiplier applied to borrowed amounts for risk calculations. A borrow weight of 1 means the asset is counted at face value.

Checking Asset Parameters

To view complete parameters for any asset:

  1. Click on the asset row in the markets table

  2. Review the "Reserve Status & Configuration" section

  3. Key metrics displayed:

    1. Maximum LTV

    2. Liquidation Threshold

    3. Close Factor

    4. Current utilization

    5. Supply and borrow caps

    6. Historical borrow and supply APRs

Last updated

Was this helpful?