Building a Polymarket Copy-Trading Bot, Part 9: Turning It Off
A quick note on language and scope before I get into it. I write this series in English because Polymarket isn’t accessible in every jurisdiction, and English reaches the widest audience of people who might actually run something like this. On the money side, I stay deliberately vague — which wallets I follow, how I filter signals, how I size positions — because that’s the edge, and sharing it would dissolve it. What I do share, in full, is the engineering: the decisions, the failures, the infrastructure that had to be built to make any strategy runnable at all. This entry is the last one in the series, at least for this bot. It’s about what it means to stop on purpose.
Stopping versus decommissioning
Stopping the bot was a single command. A process exited, a WebSocket connection closed, and nothing happened on-chain that night. That part took about three seconds. Decommissioning — doing it properly, with the records in a state I’d actually be able to use later — took longer, and it’s the part I want to write about, because I don’t see it discussed much.
The distinction matters. Stopping is an operational act. Decommissioning is an archival one. A stopped bot that you just walk away from is an abandoned project. A decommissioned bot is a closed chapter with its evidence intact. The difference lives entirely in what you do in the hours after the process exits.
Why I stopped
It wasn’t a crash. By the time I reached this point, Parts 1 through 8 had worked through the brittle edges: the approval flow, the logging bug that was hiding other bugs, the memory blowup from reading a growing file on every cycle, and several smaller issues I’ve touched on along the way. The bot was stable in the sense that it would run overnight without surprising me in the morning.
I stopped it because I had written down, before it went live, what would count as a honest answer of “no” — a specific condition that would mean the strategy wasn’t doing what I expected. When that condition was met, I had already agreed with myself that the right move was to stop. That prior commitment was probably the most important thing I built in the whole project. Without it, the temptation to give it one more week, adjust a parameter, blame an unusual stretch — that temptation is nearly irresistible. Having the criterion written down in advance removed the negotiation. The bot met the condition; the bot stopped.
I want to be precise here: I’m not describing a loss-limit or a profit target or any numeric threshold — I said I’d keep those private, and I will. The point is structural. Decide before you run what would make you stop. Write it down somewhere you can’t quietly edit. Then honor it.
The urge to tidy the record
After the process exited, I opened the event log. This is the append-only file that has been the backbone of the whole system — every order attempt, every fill confirmation, every reconciliation check, every reconnect event, timestamped in insertion order. It is not flattering reading. There are stretches in there where the bot was doing something I thought was fine at the time and that I can now see clearly was not. There are reconnect events clustered in a way that tells an uncomfortable story about a dependency I underestimated. There are order attempts that went nowhere for reasons I still don’t fully understand.
The urge to tidy those stretches — to delete a run, to truncate a bad window, to add a retroactive comment that makes me look like I knew what was happening — was real. I didn’t do it. A dead bot with honest records is worth more than a live bot with flattering ones, because the records are what the next project inherits. If I delete the embarrassing parts, I’m not protecting myself; I’m just guaranteeing that I build the same mistakes into the next thing.
So the log stays as it is. Read-only. Compressed and archived off the server it ran on. The analytics summaries that I generated from it — aggregated views of event counts, timing distributions, reconnect frequency — are archived alongside it in the same state they were in when I stopped. I haven’t regenerated them. I won’t. Future-me doesn’t get to rerun the analysis with different parameters and call it the same record.
Writing down why, while you still know
The other thing I did immediately after stopping was write a short internal document — a few paragraphs — explaining why the bot was stopped, what condition was met, and what I observed in the final days of operation. This sounds obvious. In practice it’s easy to skip because you feel like you’ll remember, and you won’t, not accurately. Memory is revisionist. The document is not.
That document now lives next to the archived log. It’s part of the record. If I ever look at this archive two years from now and wonder why I stopped, the answer is there, written on the day I stopped, by a version of me who actually knew.
What the infrastructure inherited
Looking back at the eight entries before this one, the things that were genuinely hard to build were not the things I expected to be hard. The strategy logic — the part that was supposed to be the point — was actually fairly straightforward to implement once the plumbing existed. What was hard was the plumbing.
The event log design: append-only, never mutated, capturing intent and outcome as separate events so reconciliation is always possible. The reconciliation itself: the logic that compares what was sent to what was confirmed on-chain, and never double-counts, even when the WebSocket drops mid-fill. The request-pacing layer: the code that enforces rate limits without requiring every caller to think about them. The reconnect logic: the code that knows when it was deaf, that tracks the gap, that re-fetches state rather than assuming continuity.
These things survive the strategy. The strategy came and went in a few months. The plumbing is what I actually built, and it’s reusable for any on-chain system that needs to send transactions, track state, and stay honest about what it knows. If I build another bot — for a different market, a different strategy, a different hypothesis — it starts from that plumbing on day one. The event log format doesn’t change. The reconciliation contract doesn’t change. The rate-limit layer doesn’t change. Only the signal logic changes, and the signal logic is the smallest part of the whole thing.
Ending on purpose
There’s a specific feeling that comes from ending a project deliberately, with its records intact, versus abandoning it — just letting it drift, stopping paying the server bill, closing the terminal window and never opening it again. I’ve done both. They feel different.
Abandonment leaves a kind of residue. The project didn’t resolve; it just stopped mattering. Decommissioning resolves it. The process exited, the archive exists, the reasons are written down, and the parts worth keeping are extracted and labeled. It’s done. That finality is cleaner, and it makes it easier to start the next thing without carrying the loose ends forward.
The habit of deciding, before a bot runs, what would make me turn it off — and then the habit of turning it off properly when that condition arrives — is probably the highest-leverage thing I took from this project. Not any specific piece of code. Not the WebSocket handling or the gas estimation or the approval flow. The discipline of having an exit criterion and honoring it, and then closing the chapter honestly.
That’s what I wanted to document before I moved on.
A future entry will cover rebuilding the signal layer from scratch — same plumbing, different hypothesis, and everything I’d do differently from day one.