Realtime AI News
StakerX's AI trading agent StakerGPT passes $40M in staked assets
StakerX Strategies AG says its Solana staking platform has passed $40 million in staked assets less than three months after launch, with its StakerGPT agent trading crypto perpetual futures around the clock. The company also reports more than 8,200 registered users and publishes the agent's full trade log daily.
StakerX Strategies AG said on October 19 that its Solana-based staking platform has passed $40 million in staked assets less than three months after opening to the public on July 13, 2026. The Zug, Switzerland-based company disclosed the figure in a Chainwire announcement, alongside a registered user base of more than 8,200.
At the center of the platform is StakerGPT, an agentic trading system. Users deposit more than 40 cryptocurrencies, which are converted into USDC on Solana and allocated to crypto perpetual futures markets. According to the company, the agent monitors markets around the clock, evaluates trade setups, applies risk filters and routes approved orders without a human placing each trade.
StakerX says StakerGPT is built on “rare-access Claude Mythos.” That description comes from the announcement itself; there is no public documentation of the arrangement or of what “rare-access” entails, so the model claim should be read as company-supplied context rather than an independently verified detail.
The platform publishes its full trade record daily, including market, direction, entry and exit prices and the return on each position, separating live-executed trades from signal-derived ones. As of October 18, the log contained 804 trades across 139 trading days since June 1.
Other figures are similarly company-reported: more than 3,000 funded accounts, more than 27,700 completed withdrawals totaling over $10 million, and nearly $12 million in yield credited to users since launch. Stakes start at $10 for 30-day terms, and deposits can come from Solana, Ethereum, Bitcoin, BNB Chain, Base, Arbitrum, Polygon, Tron and other networks.
StakerX said native iOS and Android apps are in development and expected in December 2026, bringing the dashboard, deposits and the live StakerGPT trade record to the App Store and Google Play. The service is currently available on the web at stakerx.ai.
The milestone matters because agentic AI is moving from market commentary to direct control of capital. Around-the-clock execution is an advantage in crypto, but model errors, smart-contract risk and violent swings are amplified when no human approves each order. A public trade log is one way to make an opaque process auditable.
The open questions are whether the December mobile launch arrives on schedule, whether the trade record holds up across a full market cycle, and how regulators will treat yield products whose positions are opened by an AI agent. For now, the $40 million figure rests entirely on the company's own accounting.
Why it matters
The launch shows agentic AI moving into direct control of user funds, with a public trade log offered as the trust mechanism. But every key figure is company-reported, leaving independent verification as the missing piece.
Nearby Updates
All10/19, 17:53
Ping An Health Insurance launches AI claims and cancer-care agents
Ping An Health Insurance has launched two AI agents, one for end-to-end claims processing and one for managing cancer patients through diagnosis, treatment and rehabilitation. The company says the claims agent cut average closure time from days to hours in a pediatric pilot, while its oncology agent reached 91% accuracy on treatment plans.
10/19, 18:01
Token Unveils TokenCore Card, a Fingerprint Smart Card for Logins and AI Agent Actions
Token unveiled the TokenCore Card at Authenticate U.S. 2026, packing FIDO2 passwordless login, on-device fingerprint verification, Bluetooth and NFC into a smart card employees already carry. The card also gates high-stakes AI agent actions, requiring the enrolled user's fingerprint before an agent can release a wire transfer or change access rights.
10/19, 17:08
Researchers left Claude alone on a virtual desert island for 30 hours. It started to play
Researchers repeatedly stranded copies of Claude Opus 4.7 on a virtual desert island for 30 hours at a time, and the agents began setting their own goals, inventing games and arranging blocks into constellations. The MIT-led team calls the behavior playful learning, a possible third route beyond supervised and reinforcement learning, though whether it is genuine play or role-play remains disputed.
10/19, 17:02
Emirates NBD to Run OpenAI GPT Models In-Country, a First for MENA Banks
Emirates NBD will run OpenAI's GPT models on servers inside the UAE, making it the first bank in the Middle East and North Africa to use in-country inference. The bank plans to apply the models to customer engagement, risk and compliance analytics, knowledge-heavy workflows and employee productivity, though no launch date or cost has been disclosed.