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Agent Workshop (Live Demo) is happening in 4 days
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Have Your Say! (Every Suggestion Will Be Read)
Hi everyone, Me and my team are working on the next round of content for the YouTube Channel and we need your help. We're now accepting ideas from members of Zero One Systems for specific tutorials, builds and explainers YOU want to see on my YouTube Channel. I'm talking: - Builds you've never seen before - Tutorials you've always wanted - Explanations no one has given yet I'll be able to pull from this list and ACTUALLY make the videos you've asked for. You can also "Like" another comment if you like their idea and I'll track the likes as "Upvotes" Lewis p.s.sometimes it's really hard to know which content people want vs what is made. This would help tremendously with that.
Have Your Say! (Every Suggestion Will Be Read)
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It Happened - My Biggest Live Event Ever!
The replay link is available here - https://event.webinarjam.com/n5l7zk/go/replay/3g0vq7ani9i4i5
It Happened - My Biggest Live Event Ever!
Your honest thoughts 👀
Who watched/attended live THE BIG EVENT by Lewis? I think this community could give some honest feedback. 💰What were the expectations? 🤖What were the thoughts during the event? 👉🏼Have you stayed till the end? What do you think overall about Louis' big event?😉 Let's be transparent. I think that feedback, good or bad, is always valuable for the creator themselves.
Your honest thoughts 👀
Day 2
Finish with How AI Actually Thinks, This was good to learn.
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How should an agentic trading system recover after losing its live market-data stream?
How should an agentic trading system recover after losing its live market-data stream? I’m working through a problem in the supervised trading system I’m building and would be interested in how others would approach it. The system consumes live market data through a WebSocket. During controlled observation sessions, the connection can occasionally close unexpectedly. Reconnecting to the provider is the easy part. The harder question is: After reconnecting, how does the system prove that its view of the market is complete and trustworthy enough to resume making decisions? My current thinking is that a lost connection should immediately remove decision authority. The system can continue recording diagnostics, but it shouldn’t treat a successful reconnection as proof that continuity has been restored. A few possible problems remain after the socket reconnects: - Events may have been missed during the outage - The first messages received may not rebuild the full current state - Delayed or duplicate events may arrive - Subscriptions may not match the original session - Indicators may have been calculated from an incomplete sequence - The agent’s previous thesis may no longer be valid - Broker or position state may have changed independently The recovery path I’m considering looks something like this: 1. Mark the live stream unhealthy and suspend decision authority. 2. Record the disconnect reason and last accepted event. 3. Open a new connection with a new connection-generation identity. 4. Authenticate and restore the required subscriptions. 5. Backfill the missing market-data window through an independent source. 6. Deduplicate and reorder events where possible. 7. Rebuild indicators and the current market snapshot. 8. Reconcile positions and outstanding orders independently. 9. Re-evaluate the previous thesis using fresh information. 10. Restore authority only after explicit continuity checks pass. The design question I’m still wrestling with is what evidence should be considered sufficient to restore authority.
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