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πŸ’ΈNT Earn

About

NT Earn is Neutral Trade's USDC lending aggregator powered by Neutral Strategy Vaults. It automatically distributes funds across leading Solana lending pools to diversify counterparty risk and optimize risk-adjusted returns.

Deposit USDC β†’ Earn competitive passive returns

Strategy Design

Upon depositing into NT Earn, your USDC is automatically allocated across leading DeFi lending markets on Solana, including:

What Makes NT Earn Different

Rather than chasing yield alone, NT Earn evaluates multiple factors per lending market:

  • Utilization ratios and borrowing demand

  • Supply and borrow caps

  • Pool size and depth

  • Supply-demand oscillations

  • Average daily volume and volatility

Capital flows to pools with active borrowing demand, ensuring efficient deployment and optimized risk-adjusted returns.

Risk Management Framework

Neutral Trade operates an automated yield-optimization system that allocates stablecoin capital across DeFi lending protocols on Solana. This framework governs capital allocation, protocol selection, liquidity management, and automated exit strategies.

Core Products:

  • NT Earn: Multi-protocol yield aggregator distributing capital across Jupiter Lend, the Kamino USDC Max Yield vault, and Drift Protocol

  • Kamino USDC Max Yield Vaultarrow-up-right: Curated vault allocating USDC across selected Kamino Finance lending markets

Philosophy: Capital preservation first, risk-adjusted return optimization secondβ€”achieved through diversification, continuous monitoring, and algorithmic risk response.

Protocol Allocation Framework

Multi-Protocol Strategy

Protocol
Role
Max Allocation

Kamino Finance

Primary allocation: highest yield potential with sophisticated risk controls. Largest Solana lending protocol with isolated pools. Stats: https://risk.kamino.finance/Market_Overviewarrow-up-right

Primary Allocation

Drift Protocol

Diversification: unique demand from perpetual traders, hybrid derivatives DEX with integrated lending; cross-margined risk engine; insurance fund protection. Stats: https://metrics.drift.trade/d/HzSoFLOVz/deposits-and-borrows?orgId=1&from=now-7d&to=now&timezone=utc&var-SpotMarket=USDC&var-branch=&refresh=30sarrow-up-right

Diversification

Jupiter Lend

Part of Jupiter ecosystem, powered by Fluid with unified pools. Pools are not strongly isolated per market. Stats:(https://jup.ag/lend/statistics/liquidity/EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1varrow-up-right)

Secondary Allocation

Allocations exceed 100% intentionally; the system dynamically fills available capacity based on APY ranking while respecting individual caps.

Demand-Driven Capital Deployment

Our system actively monitors borrowing demand across lending pools and deploys capital where demand is strongest. This approach ensures:

  • Yield Optimization: Capital flows to pools with active borrowing, maximizing utilization-adjusted returns.

  • Market Efficiency: Supply meets demand rather than sitting idle in low-activity pools.

  • Dynamic Rebalancing: Continuous monitoring identifies shifts in borrowing patterns across protocols and markets.

Key demand indicators monitored:

  • Current and historical utilization rates

  • Borrowing growth trends

  • Supply-demand imbalances

  • Interest rate curve positioning

Kamino Market Selection

Collateral Quality Assessment

Asset Risk Scoring evaluates:

  • Issuer Risk: Control over token issuance/redemption, regulatory framework, governance processes.

  • Credit Risk: Probability of value loss, underlying volatility, reserve shortfall risk, liquidation bad debt potential.

  • Operational Risk: Protocol longevity, TVL resilience, security audit history, transparency metrics.

Additional Criteria:

Market Structure Analysis

Factor
Assessment Focus

Market Size & Depth

Sufficient liquidity for position management

Borrower Concentration

Distribution analysis to identify large single-borrower risks

Borrowing Demand

Active borrowing indicates healthy yield generation

Lender Concentration

Withdrawal cascade risk assessment

Liquidator Activity

Efficient bad debt prevention mechanisms

Oracle Quality

Price feed reliability and manipulation resistance

Liquidity Risk Management

Utilization Rate

The fundamental liquidity risk metric:

Utilization Rate = Total Borrowed / Total Supplied

High utilization creates risk by reducing available reserves for withdrawals, potentially triggering panic and cascade effects.

Automated Exit Strategy

Tiered Response Mechanism

Rather than full withdrawals at threshold breach, we implement graduated exits, minimizing market impact:

Pressure Level
Response

Light

Partial position reduction

Medium

Increased exit ratio

Panic

100% immediate exit

Entry Controls

  • Hard Block: Utilization exceeds exit threshold β†’ deposits completely blocked

  • Soft Allow: Below threshold β†’ deposits permitted subject to allocation caps and yield optimization

Capital Allocation Logic

Borrowing Demand and APY-Prioritized Investment

  1. Rank protocols by current APY (highest first)

  2. Evaluate entry blocking rules

  3. Calculate available capacity

  4. Simulate market impact: Model post-deposit APY based on borrowing demand and interest rate curves to ensure capital deployment won't significantly dilute yields

  5. Allocate to the highest-APY protocol until the gap is filled (subject to market impact thresholds)

  6. Flow remaining capital to the next highest-APY protocol

Our internal market impact simulation ensures we deploy capital only where borrowing demand can absorb it without killing APYs.

Borrowing Demand and APY-Reverse Withdrawal

For redemptions or stress exits:

  • Rank protocols by APY (lowest first)

  • Withdraw from lowest-APY positions first

  • Preserves highest-yield allocations

Monitoring

Function
Frequency
Purpose

Exit Monitoring

Very frequent

Check utilization against thresholds; execute tiered exits

Reallocation

Frequent

Optimize allocation based on current APY and demand

Balance Reporting

Very frequent

Log balances and allocation percentages

DeFi Risk Factors

Smart Contract Risk

Undiscovered vulnerabilities may exist despite audits.

Mitigation: Diversification across audited protocols with established track records; allocation caps limit single-protocol exposure.

Oracle Risk

Price oracle manipulation could cause improper liquidations or bad debt.

Mitigation: Protocol selection favoring multiple oracle sources; focus on highly liquid USDC markets.

Governance

Parameter Adjustments

Risk parameters may be adjusted based on:

  • Changes in protocol risk profiles or market conditions

  • New protocol risk assessment information

  • Historical performance analysis

  • Protocol additions or removals

Redemption Period & Fees

  • There are no fees for this product.

  • To optimize liquidity and returns, deposits come within 1 hour redemption period.

Deposit Here


Launch date - 4th August 2025

Last updated