Galeon Prediction Season 1 is here. Over the next 90 days, 100,000,000 Points will be distributed across the Galeon Trade Prediction Market. Predict the outcome of Galeon Brain’s trades, earn points through participation, accuracy and leaderboard performance, and compete for additional monthly USDC rewards from the Reserve Pool. Every prediction earns more than a chance to win — it also becomes part of the feedback that helps Galeon Brain learn from the market and its users. Predict. Earn. Help build a smarter Galeon Brain.

BTC is down today. Galeon Brain is still making money. 🧠 While the market turned red, Galeon Brain continued trading and is currently sitting at +$538.05 PnL today. This is what we want to see from an autonomous trading system: not simply making money when everything is going up, but continuously adapting to changing market conditions and finding opportunities when the market moves the other way. No manual calls. No waiting for the market to turn green. The Brain keeps analyzing, making decisions, managing positions, and executing. BTC down. Galeon Brain: +$538 today. Another day of the Brain doing its job. 🧠⚡

New Feature is launching Crypto moves fast, and users can’t monitor every token all day. That’s why we built Galeon Market Overview. Galeon Brain now scans different tokens and surfaces AI-generated trading signals in one place, helping users discover which assets may be worth paying attention to. With Market Overview, users can: 1. Track AI signals across multiple tokens 2. Check market direction and signal status 3. Save specific tokens into their watchlist 4. Receive updates directly through Telegram 5. React faster when Galeon Brain detects a new signal or market change This is not just another dashboard. Market Overview turns Galeon Brain into a real-time market monitoring layer for users. Instead of constantly switching between charts, tokens, groups, and alerts, users can let Galeon Brain watch the market and notify them when something important happens. Discover signals. Save your watchlist. Get Telegram alerts. Live now: galeon.world/#/market-overvi…

Agent trading should not be a black box. If an AI can trade, it should be willing to show how it trades. That’s why Galeon Brain makes its Paper Trade performance fully visible — not only the return curve, but also the trade history, entry logic, exit logic, PnL, win rate, drawdown, and decision records. Most products in AI trading still ask users to trust the narrative. We think the next stage is different: show the trades, show the logic, show the results. Galeon Brain has reached up to 6x Paper Trade returns, but the more important point is transparency. In agent trading, being able to publicly track and review the full decision process is what builds real trust. AI trading needs proof, not just claims.

Galeon × Jev: Bringing System One Decision Models into Autonomous Finance 🧠 We’re excited to share that Galeon has received access to Jev by @typesafeai. But we’re not integrating Jev to add another AI model or chatbot to Galeon. We’re integrating it because Jev fits directly into one of the core problems Galeon Brain has been solving: How can an autonomous financial system make fast, structured decisions under constantly changing market conditions? Financial markets don’t need more AI-generated text. They need decisions that can actually be executed. Galeon Brain already continuously processes market structure, price action, BTC regime, momentum, smart money, on-chain data, trading history and risk conditions. It then closes the full loop: Market Understanding → Strategy → Decision → Risk → Execution → Outcome → Learning This is where Jev becomes interesting. Instead of placing Jev outside Galeon Brain as another “brain,” we’re integrating it into specific decision nodes inside the system. For example: Trade direction? LONG / SHORT / WAIT Execute this opportunity? YES / NO Current risk level? LOW / MEDIUM / HIGH Exit the position? EXIT / HOLD Jev can return these as structured probabilistic decisions, giving Galeon Brain another way to evaluate decisions quickly and consistently. But probability alone never triggers a trade. Every decision still passes through Galeon’s strategy validation, confidence thresholds, risk engine and execution rules before real capital is deployed. And every completed trade produces a real outcome. That outcome goes back into Galeon’s Trading Memory, where we can backtest, evaluate and continuously improve how different decision models perform across different market regimes. So the architecture becomes: Market State → Galeon Brain [Jev Decision Layer] → Risk Gate → Execution → Real Outcome → Trading Memory This is also part of a much bigger direction for Galeon. We don’t believe the future of financial AI is another chatbot telling traders what might happen. We believe AI should be able to understand → decide → manage risk → execute → learn. Galeon is building the specialized AI infrastructure that closes that loop. And eventually, the same financial brain can power wallets, exchanges, DEXs, trading agents and other financial applications. One Brain. Many financial products. Welcome Jev to Galeon Brain. 🧠⚡ @typesafeai

8,330 users didn’t just sign up. They participated. In Galeon Season 1: 210,557 predictions were made 152.7M+ points were committed 143M+ points were paid out 8,327 users received participation rewards What matters to us isn’t the number of accounts. It’s whether users keep coming back, making decisions, and putting conviction behind them. Season 1 was the first real test. Now we scale.

Most AI trading systems talk about “learning.” Galeon Brain learns from something more concrete: real trading outcomes on @binance . Every win, loss, blocked signal, and exit becomes new feedback for the system. Trade → Result → Learn → Improve → Trade Again Real execution is the training data.

Galeon Brain is built as a self-evolving AI trading system. It doesn’t just generate signals. It understands the market, makes trading decisions, executes them on @binance , and learns from the real result of every trade. Each win or loss updates the system — signal weights are adjusted, strong combinations are reinforced, weak patterns are blocked, and missed opportunities are reviewed. Understand → Decide → Execute → Learn → Improve And with Trade Prediction, human judgment can become an additional feedback layer on top of the AI. Real trades. Real feedback. A smarter Galeon Brain with every cycle.

Binance Agent OS lets AI agents trade. Galeon is building the brain behind them. AI-powered trading decisions, executing directly on @binance — autonomous, non-custodial, always learning.

Galeon's prediction market runs on Base mainnet — community members bet USDC on whether the AI's next trade will win. 6,084 trades in. The crowd is getting better at reading the agent. Built with @sibyl_labs_ × @base 🔵

Galeon just hit 6,084 live trades with a 60.3% win rate — and every single outcome is stored in @sibyl_labs_ persistent memory. On cold start, the agent recalls all learned signal weights from Sibyl. No retraining. No warm-up. The memory is load-bearing.

Prediction Season 1 — Week 5 on @base is complete. This week: 249,118 bets 2,351 participants 180.6M PTS committed 176.6M PTS distributed Galeon Trade Prediction continues to grow on Base, turning real AI-generated trades into onchain prediction markets. More users. More predictions. More onchain activity on Base. New users can still get points and join Season 1 now.

Will AI Agents really take traders' jobs? 🧐 Tonight 8PM UTC+8, Superlabs livestream with APRO, AOP, and Galeon. 👉 Tune in: nitter.net/i/spaces/1qKVmyzeYlWxB

AI Agents are eating mispricings in prediction markets — are human traders still in the game? 🧐 From data oracles to RWA assetization to automated trading — who's bridging the last mile for Agents? Superlabs brings three leading projects together. Sept 4, 8PM UTC+8. Let's talk.@APRO_Oracle @ArkOfPanda @HelloGaleon

New in the Galeon Report: HL Trader Regime Map. AI analysis of on-chain trading behavior across decentralized exchanges. Identifies which trader archetype has structural edge in the current BTC market regime, and how they are positioned right now. For each regime, you can now see: which trader archetype is leading long vs short positioning directional bias recent trading activity In the current sideways BTC regime, XYZ Specialists are showing the strongest structural edge, with a clear short bias. More context. Better positioning. Smarter trading decisions. galeon.world/#/report

Galeon Trade Prediction Market has now deployed 1,262+ prediction pools on @base Every pool is built around real trades generated by Galeon Brain — turning AI trading decisions into markets users can predict, participate in, and learn from. More trades. More predictions. More crowd intelligence. 1,262+ pools and growing. galeon.world/#/prediction

Season 1 — Week 3 is complete. Galeon Trade Prediction has now reached 1,150 users, up from 675 last week — a 70.4% increase. Across the first three weeks: 💡31,092 bets placed 💡22,493,830 PTS staked 💡20,314,514 PTS distributed in rewards More users, more predictions, more activity around AI-generated trades. Predict. Trade. Earn. galeon.world/#/prediction

Season 1 — Week 2 is complete. From Aug 14–20, Galeon Trade Prediction reached 675 participants, up 131 users (+24.1%) from last week. This week: 5,398,659 PTS staked 4,674,128 PTS distributed to winners Participation continues to grow as more users join Galeon’s AI-powered prediction market. Predict. Trade. Earn. galeon.world/#/prediction

Galeon will support @RobinhoodApp Agentic Trading

Season 1, Week 1 is in the books. From Aug 7–13, Galeon Trade Prediction recorded 3,855 bets from 544 participants, with 2,814,085 PTS committed and 3,102,637 PTS distributed to winning predictions. A strong first week, and we’re just getting started. Predict. Trade. Earn. galeon.world/#/prediction