Four taps, zero Python. ENVY lets you drag-drop a brainy trading agent, back-test on live prices, tweak like a pro, and push it to market—all before your coffee cools. Build. Launch. Earn a cut while the bot hunts alpha 24/7. Screenshots say it all 👆
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Prophecy: with ChatGPT-5 in everyone’s pocket, “elite” trading AI won’t stay gated. It’s marching into DeFi and retail—inevitable. The only question is who brings it first and shares the upside. That’s why we’re building ENVY.
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Continuing publishing glimpses of user interfaces of ENVY for the depositors! Open Alpha is coming soon!
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NEW: chat-based auto-optimization for trading agents.
Type a prompt → agent backtests, proposes changes, brute-forces params, and applies the best set live.
Real run: –9% → +45% P&L in 48h after self-tuning.
Re-run anytime. Fund the bot & let it cook. NFA.
Type a prompt → agent backtests, proposes changes, brute-forces params, and applies the best set live.
Real run: –9% → +45% P&L in 48h after self-tuning.
Re-run anytime. Fund the bot & let it cook. NFA.
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BlackRock just published a paper on LLM multi-agents for portfolio construction. The hedge fund of the future = a tiny team + a swarm of agents. AI-native trading is inevitable. That’s why we’re building ENVY for crypto. arxiv.org/abs/2508.11152
arXiv.org
AlphaAgents: Large Language Model based Multi-Agents for Equity...
The field of artificial intelligence (AI) agents is evolving rapidly, driven by the capabilities of Large Language Models (LLMs) to autonomously perform and refine tasks with human-like efficiency...
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Back from Token2049/KBW and straight into the lab. ENVY’s predictor backbone is ready: 30-day 24h direction accuracy — BTC 65.2%, ETH 59.7%, SOL 66.4%, XRP 61.8%, DOGE 64.5%, ARB 64.9%. Predictor-powered agents roll out in days. Receipts in the charts.
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