NODO AI: Addressing NDLP Share Price Growth
NODO AI is an early-stage product built on the principles of DeFi transparency and AI-driven innovation. By design, we experiment, learn, and improve in the open. That means taking calculated risks—while putting controls in place to protect users and ensure meaningful paths to recovery when things move against us. We are committed to growing sustainable, on-chain markets on Sui and to earning your trust through clear reporting, verifiable data, and steady product upgrades.
TL;DR
We corrected NDLP accounting issues that materially understated vault value. For example, MMT SUI/USDC vault’s NDLP moved 0.58 → 0.72 (+22%) after fixes; others improved too (to a lesser extent). These are accounting corrections, not price manipulation.
We’re deploying AI v2.1 with fewer rebalances, no auto stop-loss whipsaws, and limit-order boosting to improve fee capture and reduce realized IL.
We will publish historical NDLP time series and enhance daily monitoring, allowing users to verify performance independently.
Loss recovery will rely on improved execution and market conditions (notably SWEET liquidity/price). While we cannot reimburse all historical IL, we’re evaluating a small goodwill pool and fee relief measures.
Context: What NDLP Is—and Why Price Moved
Vault
NDLP Total Supply
Onchain Vault Liquidity (USD)
NDLP Price (Before Fix)
NDLP Price (After Fix)
MMT-SUI-USDC
1,474,046.69
$1,062,956.53
$0.665944
0.721115
MMT-WAL-SUI
482,980.16
$337,976.44
$0.682103
0.699773
MMT-DEEP-SUI
126,931.60
$72,479.96
$0.566350
0.571016
CETUS-SUI-USDC
699,672.89
$587,863.72
$0.832148
0.840198
*Note: Price is updated hourly, and represents the latest snapshot as of 4th September 10:30 UTC
What NDLP represents: NDLP is the vault share token. Its price reflects net asset value per share after fees, IL, and PnL from LP activity.
Why you saw a jump: The recent increase was driven by accounting corrections (how the system read and valued existing positions), not by position changes or manual mark-ups.
How IL shows up: In volatile fee regimes, frequent rebalances and stop-loss exits can realize IL faster than fees accrue. v2.1 targets that root cause.
What We Changed: AI Strategy v2.1
Objective: Improve fee capture, reduce realized IL, and make NDLP track the underlying market in a more intuitive, resilient way.
Stop-loss simplification: We’ve disabled the prior auto stop-loss module that caused forced exits/whipsaws in volatile bands. Instead, we’re using tighter pre-trade risk checks, narrower bands when volatility spikes, and hard circuit-breaker conditions managed by oversight.
Lower rebalance frequency: We’ve significantly reduced rebalancing cadence to avoid churn and gas overhead that realized IL without sufficient fee compensation.
Limit-order boosting (rollout tomorrow): We are prioritizing passive liquidity and selective limit orders to bias toward earning fees rather than aggressive taker flow.
Data Transparency: How You Can Verify
We’re formalizing a publish-what-we-compute approach:
Historical NDLP time series: Engineering will soon push an update to allow the NDLP price chart history to be shown in the history.
Point-in-time reconstruction: Until the series is posted, NDLP can be manually approximated as (net current USD value ÷ NDLP token supply)
What You Should Expect From Us
Radical transparency: Clear formulas, on-chain links, and method docs so you can reproduce our numbers.
Measured iteration: We’ll make fewer, higher-quality changes and avoid tactics that convert volatility into realized IL.
Risk discipline: Circuit breakers, oversight review, and weekly risk/return reporting.
Sui market growth: We’ll keep building tools, liquidity relationships, and partnerships to deepen markets on Sui—because sustainable fee opportunities require deep, healthy markets.
FAQ
Q: Did you “manipulate” NDLP to make results look better? A: No. We corrected the accounting that understated the value. On-chain positions did not change as part of the fix. You can verify calculations and supplies on-chain; we’ll publish the exact method and datasets.
Q: Why remove the stop-loss? Isn’t that riskier? A: The prior auto stop-loss forced exits in volatile bands and crystallized IL. In v2.1, we rely on preventive controls (range management, volatility-aware throttles, and circuit breakers) to reduce whipsaws while still enforcing risk limits.
Q: How long until full recovery? A: Recovery pace depends on market conditions and our ability to out-earn IL with fees. We won’t give time-based promises; we’ll give you continuous, verifiable data.
Q: Will users be compensated? A: We cannot reimburse historical IL, but we’re evaluating a small goodwill program and will have upcoming incentive campaigns soon.
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