Empowering everyone to deploy quant grade AI crypto traders. They improve, adapt and trade - so you don't have to.
United Arab Emirates
Joined December 2024
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▪️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.
Start in paper mode, move to live when ready.
👉 Get started: nvprotocol.com/#quickstart
👤 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.
👤 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.
▪️ 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.
👤 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.
👤 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.
▪️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.
👤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.
◾️ 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.
👤 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.
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.