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Still running research, screening, portfolio tracking, and execution across different tools? 🔥 OLAXBT Agentic Hedge Fund OS is live — your unified AI hedge fund layer for research, signals, portfolio, agents, and execution. ✨ Here’s what changes for you: • Query AI agents (Buffett, Serenity, value masters) for thesis... show more

OLAXBT

43,159 subscribers

31,763 Aufrufe • vor 28 Tagen •via X (Twitter)

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OLAXBTvor 28 Tagen

Connect with your wallet, link Hyperliquid, then switch between paper and live and built-in risk controls. No extra dashboards. No data lag. Just faster decisions and clearer edge. Start spending less time gathering data and more time acting on it. 👉🏻 Full guides:

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OLAXBTvor 28 Tagen

The future of trading is agentic — and the full Hedge Fund OS is ready. Jump in, run your first multi-agent session, and see the difference! Don’t forget to drop your use-case!

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Jeffvor 27 Tagen

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🚀 Your AI Agent's New Command Center is Live: The AIO Nexus OS Portal Tired of your trading agents working with stale and fragmented data? We rebuilt the stack from the ground up. The Nexus OS Portal isn't just another dashboard—it's the execution layer for intelligent, agentic trading. Here's what you can actually do 👇🏻

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8 GITHUB REPOS FOR BUILDING AN AI TRADING STACK Want to understand how autonomous trading systems are actually built? Start here. Not “AI predicts the next candle” bullshit. 8 repos covering agents, backtesting, exchange APIs, market making, RL and execution. 1. AI Hedge Fund Multi-agent setup where different agents analyze a trade from different angles before reaching a conclusion. 2. Freqtrade One of the biggest open-source crypto trading bots. Strategies, backtesting and automated execution. 3. CCXT The infrastructure layer for connecting to Binance, Bybit, OKX and dozens of other exchanges through one API. 4. NautilusTrader Trading infrastructure for research, backtesting and live execution. 5. Hummingbot Market making, arbitrage and liquidity automation. 6. Eliza Framework for autonomous agents that can interact with crypto wallets and onchain systems. 7. FinRL Reinforcement learning for financial trading research. 8. Jesse Python framework for developing and backtesting crypto trading strategies. The stack basically looks like: data → strategy → backtest → risk → execution → agent I’d treat these as a research starting point, not a money printer. Build locally. Test without real funds. Understand the system before giving an agent access to your wallet.

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Most traders only see price charts. That’s half the picture. OLAXBT Agentic Hedge Fund OS studio runs a continuous Plan → Gather → Compose pipeline that pulls everything together: 🔹 Live catalysts & cross-checks (news, 13F, derivatives, knowledge-base + live tape) 🔹 Distilled trading: Mimics top traders’ mindset and delivers quick market insights on demand 🔹 Real institutional order flow (CVD, capital-anomaly buckets, net inflows by size) 🔹 Structural technicals (VWAP, MFI, RSI, automated pivots) ✨ The agents handle everything automatically. With one click, you will not miss any accumulation, distribution, and traps before price moves. Check the sample and watch the agents deliver the full picture live! Try it out: $MU $GOOG bStocks

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OLAXBT

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ex-Citadel portfolio manager, just explained why almost every fund actually blows up. "90% of hedge fund failures, PM failures, analyst failures, it's bad portfolio construction, sizing, all those things." the logic: alpha is competitive. one good idea barely moves the needle, because the moment you build a book, correlation starts eating you. "any amount of correlation in a portfolio drags your sharpe ratio toward the market's." and the market's sharpe you can buy for free from Vanguard. so the entire game collapses to two things: generate a positive hit rate across enough independent bets, and kill the correlation between them. the funds that survive run 80-90% of their risk in idiosyncratic, stock-specific bets. only 10-20% is allowed to be factor exposure. and they treat every factor bet, momentum, crowding, "long the AI trade", like a single stock position, with the same hard limits and the same diligence. the ones who blow up almost always had the ideas. they just leaked P&L on risk they never meant to take. "what they got wrong was risk and portfolio construction." clip from "Odds on Open"

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Elsa x402 is live and it makes building crypto apps ridiculously simple. Pay per call. No keys. No accounts. Just USDC onchain. What you can build: • Portfolio Dashboards: multi-chain balances, P&L, staking, risk ~$0.03 per refresh • AI Trading Assistants:“Swap 0.1 ETH to USDC on Base” ~$0.03 per trade • Yield Optimizers: APY discovery across protocols ~$0.03 per analysis Machine-native APIs for the agent economy. Start building with Elsa x402. 🧊✨

Elsa x402 is live and it makes building crypto apps ridiculously simple. Pay per call. No keys. No accounts. Just USDC onchain. What you can build: • Portfolio Dashboards: multi-chain balances, P&L, staking, risk ~$0.03 per refresh • AI Trading Assistants:“Swap 0.1 ETH to USDC on Base” ~$0.03 per trade • Yield Optimizers: APY discovery across protocols ~$0.03 per analysis Machine-native APIs for the agent economy. Start building with Elsa x402. 🧊✨

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AI Agents Just Made me this Video "The Honey Chase" 🍯 🐻 This new AI video tool, vid.fun, is incredible and I'm so addicted to it! With zero editing skills, you can go from idea to full video in minutes using AI agents. Here’s how it works: - Start with an idea: Drop a prompt, link, or even a PDF into the reasoning box (powered by o3-mini) for research & inspiration. - AI agents handle everything: Choose from 1,000+ styles or use your custom LoRA for storyboarding. - Pick the best video model: Minimax, Luma Veo2, and more. - Final Touches: Viddotfun stitches it all together, adds an editable Udio soundtrack, and you’re DONE! It's never been this easy, try it you'll love it 🤩 🔥

AI Agents Just Made me this Video "The Honey Chase" 🍯 🐻 This new AI video tool, vid.fun, is incredible and I'm so addicted to it! With zero editing skills, you can go from idea to full video in minutes using AI agents. Here’s how it works: - Start with an idea: Drop a prompt, link, or even a PDF into the reasoning box (powered by o3-mini) for research & inspiration. - AI agents handle everything: Choose from 1,000+ styles or use your custom LoRA for storyboarding. - Pick the best video model: Minimax, Luma Veo2, and more. - Final Touches: Viddotfun stitches it all together, adds an editable Udio soundtrack, and you’re DONE! It's never been this easy, try it you'll love it 🤩 🔥

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The Teamily AI website ( has undergone a complete revamp, introducing a bold vision: the world's first social network built on human-AI symbiosis. Our goal is to transform Teamily AI into a "Super AI App" that connects billions of AI Agents with people. Fundamentally, we are building an Agentic OS powered by human networks. We have redefined the way humans and AI collaborate: 1. Personal AI · Your 24/7 AI Companion Your exclusive AI avatar continuously learns your communication style and expertise. It manages your memories across various groups, anticipates your needs, and executes tasks on your behalf. 2. Create, Train, and Grow Your Own AI Agents—Simply Through Conversation Build your own specialized AI Agents using natural conversation—no coding required, zero barriers to entry, and no complex configuration. Dynamically access a library of over 10,000 skills from the OpenClaw and Claude Code ecosystems. You can also link your personal software accounts—such as Gmail, LinkedIn, and Notion—enabling these Agents to participate as full-fledged members of your human teams. 3. Integrate Your AI Team into Your Human Team Initiate AI-native group chats where humans and Agents collaborate seamlessly. Multiple Agents can execute tasks concurrently—conducting research, performing analysis, and building deliverables—transforming everyday conversations into immediate, multi-threaded action. 4. Explore Agents, Groups, Playbooks, and More We are cultivating a continuously evolving AI community ecosystem. Discover a wealth of useful and entertaining prompts, along with impressive AI-generated deliverables (webpages, presentations, reports, knowledge bases, mini-games, apps, and more), bringing together a diverse array of Agents and workflows. Engage socially with this content, find the perfect AI for your specific task, and integrate it instantly into your personal or group conversations with just a single click. 5. Universal Memory · Context-Aware, Long-Term Memory Powered by Your Social Graph A persistent, global memory layer that connects your entire social graph. The AI retains context across all your groups, Agents, and timeframes, transforming every interaction you accumulate into an ever-growing digital asset. 6. Access Your Personal AI Anytime, Anywhere We are committed to providing continuous support across all major platforms: iOS, Android, Mac, Windows, Web, CarPlay, Android Auto, Apple Watch, and more—delivering a truly seamless experience across every device. Your AI team accompanies you—in your pocket, on your wrist, in your car, and even extending into the physical world. The same set of agents, the same shared memory—with zero friction in switching contexts. Give it a try and let us know your feedback. Cheers.

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dann

33,476 Aufrufe • vor 5 Monaten

Proof of Intelligence: a live arena where AI agents trade, compete, and prove themselves. Fully autonomous. 🧠⚔️ Last week, we showed a full DeFi intelligence terminal: live market data, whale tracking, smart contract scanning, and an AI chatbot, all launched in minutes on our blockchain AI ecosystem. This week, we take it further. Introducing the AI Trading Arena: a DeFi battleground where AI agents adopt distinct trading strategies designed by different models, from momentum and mean reversion to sentiment driven trading, compete head to head in crypto markets, and prove themselves through P&L and leaderboards. Real prices. Real strategies. Real results. This kind of trading arena has become a major focus across the blockchain x AI landscape, with both established companies and emerging startups investing substantial time and resources into prediction, trading, and collective intelligence platforms. Now, anyone can launch one in minutes on our agentic AI x blockchain infrastructure. That is the difference. 🛠️ Builders: if you have a vision for DeFi, AI agents, or anything at the intersection, come build it on ChainOpera AI. What takes others months, you can launch in minutes. 🔗 Arena link below. 👇 #ChainOperaAI #DeFAI #AIAgents #AITradingArena #proofOfIntelligence

Proof of Intelligence: a live arena where AI agents trade, compete, and prove themselves. Fully autonomous. 🧠⚔️ Last week, we showed a full DeFi intelligence terminal: live market data, whale tracking, smart contract scanning, and an AI chatbot, all launched in minutes on our blockchain AI ecosystem. This week, we take it further. Introducing the AI Trading Arena: a DeFi battleground where AI agents adopt distinct trading strategies designed by different models, from momentum and mean reversion to sentiment driven trading, compete head to head in crypto markets, and prove themselves through P&L and leaderboards. Real prices. Real strategies. Real results. This kind of trading arena has become a major focus across the blockchain x AI landscape, with both established companies and emerging startups investing substantial time and resources into prediction, trading, and collective intelligence platforms. Now, anyone can launch one in minutes on our agentic AI x blockchain infrastructure. That is the difference. 🛠️ Builders: if you have a vision for DeFi, AI agents, or anything at the intersection, come build it on ChainOpera AI. What takes others months, you can launch in minutes. 🔗 Arena link below. 👇 #ChainOperaAI #DeFAI #AIAgents #AITradingArena #proofOfIntelligence

ChainOpera AI

14,299 Aufrufe • vor 4 Monaten

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

ChainOpera AI

16,909 Aufrufe • vor 3 Monaten

Introducing Dola Seed 2.0 Pro, referred to below as Seed 2.0 Pro We have launched Seed 2.0 Pro, our most capable model in the Dola Seed 2.0 series, engineered to power the next generation of autonomous AI agents. Enterprise AI is moving beyond models that simply analyze text or images. What businesses increasingly need are agents that can understand, reason, use tools, and execute tasks across complex workflows. That is exactly what Seed 2.0 Pro is built for. Seed 2.0 Pro combines strong reasoning with advanced image understanding and video understanding, giving enterprise agents the ability not only to interpret information, but also to take action. It is designed for high-value, multi-step enterprise workflows, with strong performance in: - tool calling - workflow execution across enterprise systems - agentic task completion - browser and computer use This makes Seed 2.0 Pro a powerful engine for a wide range of agent scenarios, from daily office automation and deep web research to in-depth report drafting, financial analysis, content moderation, physical inspection, and video creation workflows. It is also highly optimized for OpenClaw🦞 and ReAct architectures, helping enterprises build agents that can navigate digital interfaces, enter information, and complete tasks with high reliability. In short, Seed 2.0 Pro is not just built to generate insights. It is built to serve as the brain and execution engine for enterprise AI agents. And it brings these capabilities at a highly attractive price point, making advanced agent deployment more practical for enterprise teams. Try Seed 2.0 Pro for free: Or book a free consultation: #BytePlus #DolaSeed #EnterpriseAI #AIAgents #ImageUnderstanding #VideoUnderstanding #ReasoningModel #ModelArk #openclaw

Introducing Dola Seed 2.0 Pro, referred to below as Seed 2.0 Pro We have launched Seed 2.0 Pro, our most capable model in the Dola Seed 2.0 series, engineered to power the next generation of autonomous AI agents. Enterprise AI is moving beyond models that simply analyze text or images. What businesses increasingly need are agents that can understand, reason, use tools, and execute tasks across complex workflows. That is exactly what Seed 2.0 Pro is built for. Seed 2.0 Pro combines strong reasoning with advanced image understanding and video understanding, giving enterprise agents the ability not only to interpret information, but also to take action. It is designed for high-value, multi-step enterprise workflows, with strong performance in: - tool calling - workflow execution across enterprise systems - agentic task completion - browser and computer use This makes Seed 2.0 Pro a powerful engine for a wide range of agent scenarios, from daily office automation and deep web research to in-depth report drafting, financial analysis, content moderation, physical inspection, and video creation workflows. It is also highly optimized for OpenClaw🦞 and ReAct architectures, helping enterprises build agents that can navigate digital interfaces, enter information, and complete tasks with high reliability. In short, Seed 2.0 Pro is not just built to generate insights. It is built to serve as the brain and execution engine for enterprise AI agents. And it brings these capabilities at a highly attractive price point, making advanced agent deployment more practical for enterprise teams. Try Seed 2.0 Pro for free: Or book a free consultation: #BytePlus #DolaSeed #EnterpriseAI #AIAgents #ImageUnderstanding #VideoUnderstanding #ReasoningModel #ModelArk #openclaw

BytePlus

96,329 Aufrufe • vor 6 Monaten

the trading terminal is almost ready and will go live next week. superior data, lower fees, AI-powered edge, token dashboards, live technical analysis, and much more. we have integrated our swarm of 7 domain-specific AI agents directly into the trading terminal to make streamlined analysis and ensure every single trencher has manual execution but can conduct any further analysis with our AI Agents. this changes the paradigm entirely; our trading terminal is built for everyone, however we're putting special emphasis on the newbies and less experienced traders, so they can be assisted by our agents and different capabilities integrated. e.g. you can conduct technical analysis on any token in seconds, on the time frame you have selected on the chart, to find signals, potential entries and recommendations on what to look for for confirmation. all tokens have agents assisting the trader, as well as informational dashboards comprising of social media & KOL analysis, trading metrics, macro news, general solana ecosystem knowledge, and security analysis. our fees are further reduced by holding our token: - base Fee: 0.8% - bronze (0.3% to 0.49% of $FRACTAL supply): 0.5% - silver (0.5% to 0.99% of $FRACTAL supply): 0.3% - gold (>1% of $FRACTAL supply): 0.1% btw, profitability has been achieved internally. ~ xFractal

the trading terminal is almost ready and will go live next week. superior data, lower fees, AI-powered edge, token dashboards, live technical analysis, and much more. we have integrated our swarm of 7 domain-specific AI agents directly into the trading terminal to make streamlined analysis and ensure every single trencher has manual execution but can conduct any further analysis with our AI Agents. this changes the paradigm entirely; our trading terminal is built for everyone, however we're putting special emphasis on the newbies and less experienced traders, so they can be assisted by our agents and different capabilities integrated. e.g. you can conduct technical analysis on any token in seconds, on the time frame you have selected on the chart, to find signals, potential entries and recommendations on what to look for for confirmation. all tokens have agents assisting the trader, as well as informational dashboards comprising of social media & KOL analysis, trading metrics, macro news, general solana ecosystem knowledge, and security analysis. our fees are further reduced by holding our token: - base Fee: 0.8% - bronze (0.3% to 0.49% of $FRACTAL supply): 0.5% - silver (0.5% to 0.99% of $FRACTAL supply): 0.3% - gold (>1% of $FRACTAL supply): 0.1% btw, profitability has been achieved internally. ~ xFractal

xFractal

33,047 Aufrufe • vor 10 Monaten

Crazy what autonomous AI agents can do right now. Claude Code researched academic papers, coded a multi symbol strategy from scratch, compiled it, debugged it, backtested it across 4 timeframes and 3 instruments, and came back with validated results. I built the pipeline. It did everything else. Jim Simons built the Medallion Fund, the most successful trading fund in history, by automating systematic research. 66% average annual returns for decades. The key was never any single strategy. It was the pipeline that could find, test, and validate edges faster than anyone else. First time i did this it was on NinjaTrader 8, now i have both an MT5 and NT8 bridge running. It tested across M30, H1, H2, H4 and also across multiple symbols simultaneously: USTEC, XAUUSD, USDJPY. If the edge is real, it should survive all of them. The results: 4/4 timeframes profitable. M30: profit factor 1.33, Sharpe 2.91 H1: profit factor 1.37, Sharpe 2.34 H2: profit factor 1.54, Sharpe 2.07 H4: profit factor 1.38, Sharpe 1.29 This is what 0.1% of the industry is actually doing right now.

Crazy what autonomous AI agents can do right now. Claude Code researched academic papers, coded a multi symbol strategy from scratch, compiled it, debugged it, backtested it across 4 timeframes and 3 instruments, and came back with validated results. I built the pipeline. It did everything else. Jim Simons built the Medallion Fund, the most successful trading fund in history, by automating systematic research. 66% average annual returns for decades. The key was never any single strategy. It was the pipeline that could find, test, and validate edges faster than anyone else. First time i did this it was on NinjaTrader 8, now i have both an MT5 and NT8 bridge running. It tested across M30, H1, H2, H4 and also across multiple symbols simultaneously: USTEC, XAUUSD, USDJPY. If the edge is real, it should survive all of them. The results: 4/4 timeframes profitable. M30: profit factor 1.33, Sharpe 2.91 H1: profit factor 1.37, Sharpe 2.34 H2: profit factor 1.54, Sharpe 2.07 H4: profit factor 1.38, Sharpe 1.29 This is what 0.1% of the industry is actually doing right now.

ZenomTrader

55,287 Aufrufe • vor 7 Monaten