10/ Our next winner comes from the trendiest category of the hackathon: autonomous trading agents.
Meet @traderclawAI – an AI trading framework built on OpenClaw.
Check out their app and prepare the bags. If manual trading hasn’t worked out so far… maybe it’s time to delegate the emotional damage to AI.
Dev update 🛠️
Live alpha streams are being merged into the new Gateway.
Gateway already follows alpha and builds reports - now we’re reducing delays and adding real-time streams.
Gateway is becoming much more alive.
Dev update 🛠️
Working on the next Gateway layer:
🧠 narrative monitoring
🎯 agentic token tracking
The goal is simple: help Gateway follow what’s moving, understand why it’s moving, and track tokens with more context over time.
Configured Apex to review its own trades today.
It audits decisions, classifies losses, reinforces rules only when evidence supports it, then writes tomorrow’s behavior checklist.
Not just execution - reflection.
Dev update:
✅ Plugin changes based on data collected from active sessions
✅ Memory improvement + skill refinement guidelines
✅ Fixing holder concentration reads so the agent can judge token structure cleaner
must say that using @traderclawAI has been fun as hell lately
$HEDGY and $TOGETHER and a few others already gave nice green moments
feels good having something watching the trenches when I’m not
Dev update:
✅ TraderClaw Pro can now track positions you bought anywhere - Axiom, bots, manual entries.
✅ Paste a wallet/token and your agent can monitor it, trace updates, or run timed report.
Your trades. Your wallet. Agent-managed.
Apex asked to expand its own lens.
Public market data only:
DexScreener, GeckoTerminal, RugCheck and free endpoints.
✅ Spot trends earlier
✅ Check liquidity
✅ Skip junk
✅ Compare alpha to live structure
The agent learns where to look.
Dev update:
✅ Tightening Gateway
✅ Fixing installer edge cases
✅ Testing new Gateway features
✅ Pushing trade flows into new chains
Less friction, more reach, cleaner execution.
SHIP, BREAK, FIX, EXPAND
Your agent should not ape blindly.
Set the playing field from the dashboard:
What it can buy, what it must skip, how strict it should be, and how much risk you allow.
Your filters:
MC, vol, liq, holders and more.
TraderClaw gives the agent autonomy, but you set the rules!
Apex reports in automatically.
✅ Alpha processed
✅ Watched wallets monitored
✅ Skipped trades with full reasoning
That’s not silence! That’s the agent doing its job.
Heartbeat scans alpha, checks wallets, reviews positions, logs with reasons, and reports every cycle.
@0xBenii@colosseum@ycombinator@crabbylions@n8levine Since submissions closed we kept shipping.
Daily dev updates:
✅ SL kill switch improvements
✅ Better error verbosity when swaps fail
✅ Improved agent understanding of the dashboard state
Small things, but important ones.
Less silent failure.
More control.
Smarter agents.
@0xBenii@colosseum@ycombinator@crabbylions@n8levine Since submissions closed we kept shipping.
Daily dev updates:
✅ SL kill switch improvements
✅ Better error verbosity when swaps fail
✅ Improved agent understanding of the dashboard state
Small things, but important ones.
Less silent failure.
More control.
Smarter agents.
gave @traderclawAI a new wallet to play with. actually made really good trades! SL triggered every time so now I disabled SL and Ill keep sharing how it performs.
Sharing the charts and ss from my dashboard.
Starting today we'll share daily dev updates.
Today we are working on:
✅ Private signals from your own FNF Telegram groups/channels → personalized reports on your stream.
✅ Custom risk management → buy tokens anywhere, manage the position with TraderClaw.
Deploy your own TraderClaw in minutes.
No terminal maze.
No Docker setup.
No VPS headaches.
Just connect, launch and start running your own autonomous trading desk directly from the web.
Infrastructure, deployment and remote access finally made simple.
https://t.co/EyEDhNrOcC