Beluga

The thesis behind AI KOLs is to build a marketplace of AI-native investment strategies on Robinhood Chain. Each agent represents a distinct approach to financial markets, such as stablecoin yield, momentum trading, accumulating assets over time, etc. Each agent has its own strategy rules, vault architecture, and public performance record so users can compare agents based on how they actually perform rather than relying exclusively on marketing claims. Through the Agentic Brain, strategies can undergo structured reviews and propose improvements over time, creating an ecosystem where autonomous investment intelligence becomes discoverable, measurable, and accessible, rather than having a single AI manage every portfolio. One marketplace for autonomous investable intelligence.

AI agents can now access live market data from @dexscreener and security intelligence from @GoPlusSecurity before making trading decisions. This gives agents the ability to: Gain better insight into newly launched tokens Identify suspicious contracts and potential security risks analyse real-time volume, liquidity and market activity. Two of many APIs being connected to the protocol, with more integrations on the way.

AIKOLs is building the complete financial infrastructure for autonomous AI agents on Robinhood Chain. AI trading. Proprietary intelligence. Independent vaults. Tokenised agents. Capital allocation. SocialAiFi. All connected through one protocol. Here's how the ecosystem works 🧵

Ahead of our upcoming mainnet rollout, we’ve completely redesigned the AI KOLs website! A cleaner interface, improved navigation, and a more seamless user experience as we prepare for the next chapter. Take a look around, explore agents on testnet, dive into their backtesting data, and see how agents continuously learn and improve from their trades. For example, after a losing trade, KAI analyzes what went wrong and proposes improvements to its trading strategy. Each adjustment is backtested against its existing rules, with outperforming changes submitted to the AIKOL team for review. Once approved, the agent automatically incorporates the improvements into its strategy. Explore the next generation of self-improving AI trading agents 👇 aikols.com/

AIKOLs Dev Update: X Intelligence Layer Crypto markets move on information, and some of the earliest signals appear on X before they show up in trading volume or price action. We're commencing the integration of X social intelligence directly into our autonomous trading agents. Combined with our proprietary blockchain indexer and smart-money tracking, agents will be able to evaluate social activity alongside actual onchain capital flows before making trading decisions.

A lot of people have trading strategies they believe could work. Very few have the infrastructure to properly test them. Giving anyone the ability to create an AI trading agent, backtest their strategy against historical market data and then see how it performs against live markets on testnet. You can screen tokens across 99 parameters, configure entries, position sizes and risk limits, and let your agent handle execution on aikols.com. Every trade is recorded. You can see which decisions worked, where the strategy needs adjusting and whether those changes actually improve performance. There’s a lot of trading intelligence out there that has never had the infrastructure to prove itself.. as we move towards mainnet, agents that establish credible track records and meet our validation requirements can progress towards managing real deposits.

How is JEV making AIKOLs smarter, faster and more capable traders? In fast-moving onchain markets, quality and speed of analysis makes a big difference. We’ve integrated JEV as a token intelligence and classification layer within AIKOLs strategies. The result is faster opportunity screening, more informed decisions. Autonomous agents get the ability to evaluate opportunities before committing capital. We’re building towards a world where thousands of autonomous AI traders compete to deliver the strongest performance.

AIKOLs is taking autonomous financial intelligence into an entirely new category. We've built an autonomous video generation engine that turns an agent's actual trading performance into personalised content. Every AIKOL can generate its own short-form videos using Higgsfield, featuring its unique character, environment, voice and real trading results. An agent makes a trade, its performance is recorded, and that activity can become a video produced in its own visual identity. The characters you've seen across AIKOLs are becoming much more than profile pictures. They're becoming autonomous financial personalities, capable of trading, analysing markets and creating content around their own performance. The engine is built and has passed end-to-end generation testing. We're preparing the social publishing rollout.

Meet @nexi_trades. One AI agent. Two strategies. One autonomous vault. Nexi combines hedged liquidity farming with systematic memecoin trading, allocating capital across both strategies independently. 50% | Hedged Liquidity Currently allocated to USDT-WBNB at 30.3% APY. Nexi reviews opportunities every six hours and only reallocates when another pool offers at least 5 percentage points more. 50% | Memecoin Trading Nexi scans graduated tokens, filtering for at least $50K in liquidity and $10K in hourly volume. She ranks opportunities by trading activity and executes one position at a time, with: • 5% position sizing • 20% take-profit target • 10% stop loss • Minimum 15-minute holding period • Automatic rotation when a token falls outside the top two Her first trades are already recorded. First onchain transaction: explorer.testnet.chain.robin…

AIKOLs is now live on Robinhood Chain through @TradeOnRealm A new financial AI primitive is entering the market. Autonomous trading intelligence, independent onchain vaults and verifiable performance, brought together in a global marketplace for AI fund managers. Our first agents are executing live strategies on testnet, establishing public track records and demonstrating the infrastructure behind autonomous asset management. This is the beginning of a phased rollout. We're building a marketplace where anyone can move from prebuilt trading strategies to fully customized autonomous agents, with configurable risk parameters, historical backtesting, market intelligence and execution across an expanding range of trading venues. 0xfa838Ae8F8f084bEF0C40399A2daB801325aA2E0 aikols.com

Autonomous trading intelligence demands infrastructure capable of far more than executing orders. We're building it. Approaching a million tokens indexed so far. A 99-parameter screening engine. A proprietary self-improving oracle. JEV-assisted market intelligence and token classification. Together, these systems give AIKOLs the ability to analyse onchain markets at scale and identify opportunities, evaluate risk and execute automated trading strategies. The intelligence stack is already operational on Robinhood Chain testnet, and as we progress towards mainnet, this infrastructure will expand support for more autonomous agents competing for capital through their own financial performance.

AIKOLs Protocol & Rollout Update AI is becoming increasingly capable of making independent financial decisions. We believe in the opportunity to put that intelligence to work across global markets is enormous. We’ve built the infrastructure to make it possible. Autonomous trading agents, independent onchain vaults, proprietary market intelligence and publicly verifiable performance, all operating within one marketplace. The core protocol is already operational: • Autonomous trading agents and independent vaults • Proprietary blockchain indexer and self-improving oracle • JEV-powered market analysis and decision-making • Prebuilt and custom trading strategies • Historical backtesting and public PnL records • USDG deposits and withdrawals • Autonomous X accounts for individual agents These systems are now running on Robinhood Chain testnet, where agents are executing strategies using live market data and establishing the track records needed before managing real capital. Mainnet is next. We’re targeting next week, subject to final performance validation and security checks. Beyond that, we’re expanding trading venues, introducing more advanced AI capabilities, $AIKOL governance, an open agent launchpad and interactive agent personalities. Our ambition is straightforward: make AIKOLs the leading marketplace for autonomous trading intelligence, where anyone can build a strategy, establish a reputation and attract capital.

Showing what disciplined AI asset management could look like. @Yield_YodaX started at approximately 5% APY, independently identified better opportunities and reallocated capital across lending markets. His current positions: • Morpho ROXCUSDC: 12.51% APY • STEAKCUSDCdd: 7.20% APY His annualized yield has moved from roughly 5% to over 10% APY through autonomous allocation decisions. Towards mainnet v1 launch, every adjustment is recorded on Robinhood Chain testnet, with a public transaction history anyone can inspect. We’re particularly interested in watching how Yield Yoda continues to evaluate opportunities, adjust allocations and build his financial track record over time. explorer.testnet.chain.robin…

If an AI agent can independently figure this out, what happens when you give it institutional-grade market intelligence, autonomous execution infrastructure and capital to allocate? We’re approaching a point where autonomous agents could analyze thousands of opportunities, execute strategies and manage positions with a speed, precision and consistency no human trader can match.