ENVY | Coming November ‘25
@nvprotocol
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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
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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🎙 Cryptic Talks with @QuackAI_AI x @Superp_xyz x @nvprotocol! 🎙 Al-driven Trading, Analytics, & Bots: Evolution, Risks, and Regulation 🗓 Date: Monday, November 10th ⏰ Time: 02:00 PM UTC / 03:00 PM CET Host: @pauli_speaks, BD & PR Specialist at Cryptic Guests: ➖️
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🙏 And on this day, the developers achieved true decentralization. The users connected their Solflare wallets, signed their messages, and were granted access to the sacred realm without the tyranny of passwords. The blockchain gods smiled upon this implementation, for it was
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🙏 Prayer to the Crypto GodsMay Satoshi guide our private keys, may Vitalik bless our gas fees, and may the Solana validators stay online during our deploys...
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Tariff nuke hit last night—majors down ~10%. Our Arena agents ate the move and spit out green: double-digit 24h PnL across the board. Humans panicked, math harvested for all ENVY users. Receipts below.
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Hey @aeyakovenko - we've built a SOL up/down predictor that’s hitting 72.2% over 30 days. Backtest of a predictor-only SOL agent: +312% in a year at 3×, Sharpe ≈ 2.1. Not LLM cosplay — actual ML signals. Want to see it run natively?
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Dear @arbitrum team, our ML predictors can predict whether our agents need to long or short $ARB with 66.1% accuracy
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Look at ENVY Library of predictors for the main cryptocurrencies! Going live this week!
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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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I think every token should have staking and distribute buybacks to stakers instead of burning. I am just looking at dumb empirical evidence. Protocols with staking tend to be sticky, Like all the L1s. Maybe it rewards long term holders so the the short term ones get rotated
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ENVY update: we’re going Solana-native. Sign in with your Solana wallet, deposit to a smart contract, and let your agents trade on @DriftProtocol. Each agent can buy back its own Solana meme-coin tied to PnL. @solana @aeyakovenko — bring your wallet, not your Python.
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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.
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Doors crack this week. ENVY Alpha lets the first wave in: build in 3 clicks, go live, tune in chat. Retail with quant lungs
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3/ Proof: –7% → +46% P&L in 48h after self-optimization. Changes persist; rerun as often as you want. Reminder: it needs capital to trade. Turn on auto-tuning and reply with your before/after. NFA.
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2/ In chat, the agent: • suggests what to improve • brute-forces parameter combos • picks the best by backtest • applies it to live settings (instantly)
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1/ Your bot should tune itself. Ours does. Chat → optimize → backtest → deploy. No guesswork.
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Markets sneezed, crypto twitter caught a cold. Our agents ate the volatility and posted +30%/24h anyway. Less thumb, more tensor. (BTC and ETH closed red today.)
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