Start in paper mode, move to live when ready. 👉 Get started: nvprotocol.com/#quickstart

▪️Built on independent indicators across technical, social & meta-predictive signals. - Adapts to market regimes & executes trades on your behalf. - Continuously validated to find real edge most traders miss.

👤 ENVY is now live as a native skill on OpenClaw. A complete trading intelligence layer for agents - auto-discovered & initialized. Data, strategy & execution unified in one system.

▪️ LLMs ≠ trading infrastructure. They can plan, but performance in live markets depends on the system around them. An LLM is just one module, but not an intelligent trading stack.

▪️ Risk is a core gap. Capital exposure, position sizing & hard limits require precise control. A response can be logically reasonable while still breaking core trading constraints.

▪️ Markets are combinatorial. Edge comes from interactions between signals, not isolated ideas. LLMs don’t explore this space, they generate strategies that sound right.

👤 Why LLMs can’t trade? LLMs are strong at language and reasoning, but they ain't designed for trading. Out of the box, no direct market context for order books, PnL, funding & risk.

👤 On-chain data shows a pattern - most perp traders lose. The reason is structural: Poor leverage control, Weak risk management & Emotional decisions. ▪️Profitability comes from disciplined systems, not impulsive trading.

▪️Frames specify which Chip versions they can work with. This blocks unsafe updates & keeps the system stable. Fixed Frames + Fixed Chip versions + Flexible switching = transparent upgrades & fully verifiable agent evolution.

▪️Chips exist in a shared library that keeps growing. - New versions are added as improved models are released. - Agents can switch to newer Chip versions without changing their Frame, enabling upgrades while the agent’s core behavior stays the same.

▪️Chips are modular analytical units that plug into a Frame. Each Chip handles: - price direction - volatility - sentiment - regime detection - execution Once a Chip version is released, it does not change. This keeps the performance history clear & verifiable.

▪️A fixed Frame gives the agent stable & predictable behavior. - Its architecture is permanently recorded on-chain, so long-term performance can always be reviewed under the same structural conditions. - This makes the agent’s behavior transparent & auditable.

👤 ENVY Agents use Frames & Chips architecture. A Frame defines the agent’s core setup: - memory size - forgetting speed - learning behavior - communication rules - reasoning depth. Once deployed, the Frame is fixed. The agent’s core identity can’t change.

◾️Benefits: • Composability - compatible with DeFi protocols supporting ERC-4626. • Transparency - all activity recorded on-chain. • Capital efficiency - proportional exposure via shares. • Standardization - predictable, battle-tested structure.

◾️ Why vault architecture? It separates capital custody from strategy logic. Users allocate funds into the vault, while execution is handled by the agent w/ no manual trade management required.

The agent trades pooled capital & PnL is reflected directly in the vault’s share price. ◾️ It operates like an automated on-chain fund: Positive performance → share value increases. Losses → share value declines proportionally.

👤ENVY x ERC-4626 Each agent runs as an ERC-4626 vault on Ethereum. The standard is widely used in DeFi, allowing integration across protocols and providing a unified interface for deposits, withdrawals & share accounting.

Commodity data, macro indicators, futures curves & news are fed through chips. Execution and risk stay identical across markets: position sizing, stops & drawdown limits are enforced system-wide. The intelligence stays the same, only the context changes.

For equities, the Data Controller processes prices, volumes, volatility & regime indicators the same way it does for crypto. Predictor chips target price action, volatility shifts or earnings signals. The same architecture applies to metals like gold & silver.

👤 Can AI trade gold? Agents aren’t limited to crypto. The architecture is modular - agents can pull in new market data w/o changing core logic. Stocks are handled by plugging in equity data through predictor chips.