The ENVY team made it to Token2049 in Dubai this time ☀️
From high-level networking to thought-provoking panels, one thing became crystal clear: AI is trending, and this is just the beginning.
Get ready, because Trading AI Agents are about to change the game 🤖
From high-level networking to thought-provoking panels, one thing became crystal clear: AI is trending, and this is just the beginning.
Get ready, because Trading AI Agents are about to change the game 🤖
Please open Telegram to view this post
VIEW IN TELEGRAM
❤3❤🔥3🔥3
was busy planning the takeover of crypto with AI Agent
Now back to the trenches.
Now back to the trenches.
⚡3❤2🔥1
Yesterday:
BTC: -7 %
ETH: -6 %
✅ ENVY top agent: +60 %
Quant-grade math > emotions.
Non-coders will launch or back these bots soon. Keep watching.
#AITrading
BTC: -7 %
ETH: -6 %
✅ ENVY top agent: +60 %
Quant-grade math > emotions.
Non-coders will launch or back these bots soon. Keep watching.
#AITrading
❤🔥1🔥1
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 👆
⚡1👍1🔥1
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.
🔥3⚡2❤🔥1
Continuing publishing glimpses of user interfaces of ENVY for the depositors! Open Alpha is coming soon!
❤3⚡2🔥1
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.
⚡3🔥2👀2
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...
❤🔥2⚡2🔥2