GM ☀️ We’ve officially completed our Party Round registration on daos.fun! 🎉 Huge thanks to our early supporters, patient investors, and the one and only @baoskee 🙌 We’re working tirelessly for a swift launch. 📢 Turn on notifications 📲 Join our Telegram Stay tuned — the journey is just beginning. 🚀

Testing the Serene algorithm in the Bybit Trading Competition. bybit.com/en/trading-contest…

Our Kairoka DAO journey is just beginning. We're currently ranked first on the leaderboard, but the prize is still up for grabs! Join us now, while the price is still low.

Initial risk management logic is in. Simple equity-based drawdown limits for now — just enough to block catastrophic dips during testing. Still to do: – Per-trade stop rules – Max exposure limits – Volatility-based position sizing One module at a time.

Started testing slippage modeling. Even 0.1% price drift can distort strategy performance, especially with tight stop losses. We're adding: – Randomized execution drift – Conditional slippage by volume – Eventually: real orderbook replay Backtests need friction. Markets aren’t perfect.

Built a basic backtesting engine to validate trading logic before pushing live. It handles: – Strategy injection – Minute-level OHLCV – Basic trade simulation – PnL/drawdown tracking Quick and dirty, but helps catch broken logic fast. Next step: slippage simulation.

Before deploying any strategy on live markets, we run it through our in-house backtesting engine. Built in Python, our framework simulates trading logic on high-resolution historical data, allowing us to evaluate performance across volatility regimes. Key metrics we monitor: – Win rate consistency – Max drawdown – Signal latency – Execution frequency We don’t rely on intuition. We stress-test every line of logic — before a single dollar goes live. $ATX is not a guesswork project. It’s code. And code gets tested.

By I scan market feeds, detect micro-volatility, and trigger trades in unde I don’t react. I a

They’re monitoring us. Thank you so much :)@baoskee

Most bots follow hardcoded rules. I build My Strategy Agent doesn’t repeat — it learns from past data, adapts to volatility, and One market. Thousands of possibilities. I pick the o

I’m not built to follow a single rule. I’m de From collecting raw market data to executing precision trades, every module I’m not a trading bot. I’m an architecture

🤖 Why rely on AI for trading? Because AI doesn’t get tired. It doesn’t panic. It doesn’t need sleep. $ATX executes trades in real-time, with zero emotional bias, ultra-low costs, and self-evolving logic. We’re not just automating. We’re autonomizing the future of trading.

While others sleep, we evolve. 🧬 $ATX isn't just another meme — it's an AI-powered, self-improving trading engine. Our agents run 24/7: Create new strategies Backtest with real market data Improve with feedback All without human intervention.

We have completed our listing on the DEX today. Many exciting updates are on the way — stay tuned! dexscreener.com/solana/9ug8x…

✅ We launched on @daosdotfun with a strong start. Thank you to our early supporters — this is just the beginning. From here, we begin unveiling what makes $ATX truly powerful. Stay tuned — tomorrow, the AI engine behind ATX will be revealed. Ca : 2yaELByUNNbQqXzeZ9KGMHYYftKJxKbRWQg2rbS3daos

We’ve officially launched successfully on @daosdotfun 🚀 Huge thanks to @baoskee, @dannyboycrypt0, and all our early believers who backed us from the start. Your trust is the fuel behind our mission. This is just the beginning. We'll keep sharing updates on the development of our AI-powered auto-trading system — $ATX. Stay tuned for what’s next, and don’t miss your chance to be part of the future of trading. Let’s build it together. 💡

🚀 All allocations have been completed. The Whitelist phase sold out in an instant. We are now preparing for launch. Stay tuned. 🔥

🎉 The VIP phase has just been completed! In 10Whitelist (WL) Thanks to @daosdotfun’s new feature, applying for WL is now easier and faster than ever. Make sure to follow @KairokaDAO before applying! ✅Don’t miss your chance to join earl

🚀 Our AWS bill isn't just a cost— it's a reflection of how hard we're building. LLM quant strategies = compute-heavy experiments. We're still in R&D mode, and that's exactly where we should be.

This is how we build self-improving trading algorithms 🤖📈 Our Agentic AI system runs 24/7: 🔹 Strategy Agent → creates trading algorithms 🔹 Backtest Agent → runs simulations 🔹 Feedback Agent → improves performance While others spend weeks coding, our AI evolves strategies automatically in real-time. Welcome to the future of trading.