Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

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 просмотров • 28 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 3

Фото профиля OLAXBT

OLAXBT28 дней назад

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:

Фото профиля OLAXBT

OLAXBT28 дней назад

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!

Фото профиля Jeff

Jeff27 дней назад

💩💩💩

Похожие видео

🚀 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 👇🏻

🚀 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 👇🏻

OLAXBT

101,904 просмотров • 10 месяцев назад

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.

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.

TeddyCEO

147,800 просмотров • 6 дней назад

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

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

OLAXBT

10,251 просмотров • 1 месяц назад

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️

🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️

LangChain

61,205 просмотров • 1 год назад

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"

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"

Goshawk Trades

39,792 просмотров • 2 месяцев назад

Velvet isn’t simply another DeFi tool it’s an execution layer designed for humans and AI. → DCA orders that help minimize price impact on low liquidity assets → Intent-driven swaps across multiple chains → Non-custodial, real time analytics to identify strong performers early I’ve been using Velvet | Onchain Terminal for months to manage portfolios, compound returns, and compete on-chain for incentives. Everything runs smoothly, intelligently, and on your own terms. Now it takes things even further Velvet Unicorn is live as a native utility for OpenClaw agents. This enables AI to: → Evaluate tokens and charts → Monitor narratives and social traction → Consume live market data → Execute spot trades on-chain via intent routing This isn’t AI discussing markets. It’s AI actively engaging in them. If you’re serious about DeFi execution whether trading manually or building agents Velvet is already ahead of the curve.

Velvet isn’t simply another DeFi tool it’s an execution layer designed for humans and AI. → DCA orders that help minimize price impact on low liquidity assets → Intent-driven swaps across multiple chains → Non-custodial, real time analytics to identify strong performers early I’ve been using Velvet | Onchain Terminal for months to manage portfolios, compound returns, and compete on-chain for incentives. Everything runs smoothly, intelligently, and on your own terms. Now it takes things even further Velvet Unicorn is live as a native utility for OpenClaw agents. This enables AI to: → Evaluate tokens and charts → Monitor narratives and social traction → Consume live market data → Execute spot trades on-chain via intent routing This isn’t AI discussing markets. It’s AI actively engaging in them. If you’re serious about DeFi execution whether trading manually or building agents Velvet is already ahead of the curve.

Damian

27,502 просмотров • 7 месяцев назад

The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.

The TradeHost AI from allows Betfair traders to use our AI for speed ratings, form, course, draw and many other criteria. These parameters are then ranked in order by the AI and this creates a total rating number for each horse running every single day 24/7. This can be especially useful for beginners or those who don't have the time or expertise to develop their own trading strategies for Betfair. The TradeHost AI will find value - the most important factor for trading and betting on Betfair - without members having to do any research. We call it trading with a view. Most Betfair traders that don't trade with a view will lose money - in running and pre race! Copy trading using the TradeHost AI can help Betfair traders diversify their portfolios, reduce risk, and potentially increase Betfair profits by following the strategies of the successful JuiceStorm automated trading portfolio that has used AI on Betfair since 2021.

Betfair Trading - JuiceStorm.com

29,329 просмотров • 2 лет назад

OptimAI Core Node v2 is live. And with it, the introduction of OptimAI Claw. From nodes as infrastructure → to nodes as execution environments. With Core Node v2, every device becomes a runtime for native personal agents. 👉 Get your node up and running. No complex setup. No fragmented tooling. Just a few clicks... and your agent is live. OptimAI Claw brings persistent, node-resident agents directly into your system: • Multi-source research across web & social • Real-time summarization and signal tracking • Autonomous workflow execution • Continuous learning through reinforcement All running locally. All under your control. Supported on Windows & macOS. This is beyond prompt-based AI. Beyond isolated tools. This is personal agent infrastructure. Where every node thinks, acts, and evolves. Claw is now part of the network. And this is only the beginning. Happy Building, Making Impact! 🔥

OptimAI Core Node v2 is live. And with it, the introduction of OptimAI Claw. From nodes as infrastructure → to nodes as execution environments. With Core Node v2, every device becomes a runtime for native personal agents. 👉 Get your node up and running. No complex setup. No fragmented tooling. Just a few clicks... and your agent is live. OptimAI Claw brings persistent, node-resident agents directly into your system: • Multi-source research across web & social • Real-time summarization and signal tracking • Autonomous workflow execution • Continuous learning through reinforcement All running locally. All under your control. Supported on Windows & macOS. This is beyond prompt-based AI. Beyond isolated tools. This is personal agent infrastructure. Where every node thinks, acts, and evolves. Claw is now part of the network. And this is only the beginning. Happy Building, Making Impact! 🔥

OptimAI Network

375,870 просмотров • 5 месяцев назад

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 просмотров • 9 месяцев назад

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Sharpe AI

263,308 просмотров • 1 год назад

Q402 is live on BNB Chain. The first unified sign-to-pay execution and governance layer for the Agent Economy on BNB Chain. Built by Quack AI. ↓ What Q402 unlocks on BNB Chain: Universal compatibility. • Works with standard ERC-20 tokens • Compatible with any EVM chain supporting EIP-7702 • No token upgrades • No new approval flows ↓ • One signature execution • Gasless flows, built for agents • Policy-aware, auditable settlement ↓ Governance, payments, and automated actions now move through one sign-to-pay flow. No fragmented Approve → transfer → pay loops. ↓ Q402 is the execution layer. BNB Chain is where it begins.

Q402 is live on BNB Chain. The first unified sign-to-pay execution and governance layer for the Agent Economy on BNB Chain. Built by Quack AI. ↓ What Q402 unlocks on BNB Chain: Universal compatibility. • Works with standard ERC-20 tokens • Compatible with any EVM chain supporting EIP-7702 • No token upgrades • No new approval flows ↓ • One signature execution • Gasless flows, built for agents • Policy-aware, auditable settlement ↓ Governance, payments, and automated actions now move through one sign-to-pay flow. No fragmented Approve → transfer → pay loops. ↓ Q402 is the execution layer. BNB Chain is where it begins.

Quack AI

88,374 просмотров • 8 месяцев назад

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. 🧊✨

HeyElsa

41,154 просмотров • 9 месяцев назад

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 🤩 🔥

Amira Zairi

11,039 просмотров • 1 год назад

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.

Teamily AI

13,015 просмотров • 5 месяцев назад

every liquidity provider on Meteora only wants to know one thing. am i up? or am i down? introducing Portfolio, built for LPs to manage EVERYTHING. live for testing on Edge. we focused on 3 key principles when building this: Performance. Precision. and Clarity. here’s what you'll see on Edge: 1. Liquidity Card with your All-Time & Real-Time LP stats a) All-Time: Total Position Value, All-time Deposit, Fees Claimed, Claimable Fees b) Real-Time: Realized and Unrealized PnL, Total Deposits, Win Rate and Biggest Win 2. PnL Calendar, alongside a Bar Chart and Line Chart PnL view 3. Portfolio Sharing Card for you to flex to noobs test out the new portfolio and tell me what you think — always a DM away if you have any feedback!

every liquidity provider on Meteora only wants to know one thing. am i up? or am i down? introducing Portfolio, built for LPs to manage EVERYTHING. live for testing on Edge. we focused on 3 key principles when building this: Performance. Precision. and Clarity. here’s what you'll see on Edge: 1. Liquidity Card with your All-Time & Real-Time LP stats a) All-Time: Total Position Value, All-time Deposit, Fees Claimed, Claimable Fees b) Real-Time: Realized and Unrealized PnL, Total Deposits, Win Rate and Biggest Win 2. PnL Calendar, alongside a Bar Chart and Line Chart PnL view 3. Portfolio Sharing Card for you to flex to noobs test out the new portfolio and tell me what you think — always a DM away if you have any feedback!

dann

33,476 просмотров • 5 месяцев назад

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 просмотров • 4 месяцев назад

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 просмотров • 3 месяцев назад

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 просмотров • 6 месяцев назад

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 просмотров • 10 месяцев назад

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 просмотров • 7 месяцев назад