Search “polymarket copy trading bot github” and you get roughly a dozen repositories of varying quality. Some are abandoned three-day weekend projects. A handful are genuinely maintained. None of them, as of May 2026, are what I would call production-grade against the operational bar a real copy-trading operator needs to clear. I read the code of every one I could find, ran the ones that still build, and grouped them into five archetypes you will recognise the moment you start clicking through repos. This is an engineering review of the open source polymarket trading bots landscape on GitHub, the quality criteria I use to evaluate them, and the honest answer to when forking one of them makes sense versus when it does not.
The five archetypes of polymarket bot github repository
Across the open source polymarket trading bots I have looked at, every project falls into one of five shapes. I will not name specific repos because the GitHub landscape changes monthly and any link I drop here is half-likely to be stale by the time you read this. The archetypes are stable. Search the term “polymarket copy trading bot github” today, click through the first ten results, and you will see each of these five patterns repeated.
- Archetype A — the simple alert bot. Polls the Polymarket leaderboard, prints alerts to stdout or a Discord webhook. No execution. Maybe 50–300 stars, single maintainer, often unmaintained.
- Archetype B — the Telegram relay. Forwards detected leader fills to a Telegram channel for human consumption. Beginner-friendly, minimal risk management.
- Archetype C — the full execution bot. Actually places mirror orders against the Polymarket CLOB. Most complex code, most often abandoned, highest risk of bugs that move money.
- Archetype D — the market-making framework. Adjacent to copy-trading, not the same: posts maker orders on Polymarket markets and harvests rebates. Specialist audience.
- Archetype E — the arbitrage detector. Scans for cross-market or YES/NO spreads. Rarely fires, interesting to read, marginal economics.
If you are searching for a polymarket bot github project to fork, you are almost certainly in the market for archetype A, B, or C. The other two are different problems. The rest of this review focuses on what each archetype actually delivers and where each one breaks.
Open-source bots reviewed: archetype by archetype
Archetype A — the simple Python alert bot
This is the most common shape on GitHub and the easiest to evaluate. The repository contains a single Python file (sometimes two), a requirements.txt with `requests` and `python-dotenv`, and a README that says “polls the Polymarket leaderboard every N seconds and prints when a tracked wallet places a trade.” The code is usually under 500 lines.
I tested three of these. Two still ran in 2026; one had broken because the Polymarket API endpoint it polled had been deprecated since late 2024. The two that ran did what they advertised: a wallet I added to the watch list placed a trade and the bot printed an alert about 30–90 seconds later. That latency is a function of the polling interval the author chose, not the underlying infrastructure.
What these bots do not do: place orders, manage risk, handle the gap between “leader filled” and “I should also fill,” or survive an RPC failure. They are educational tooling. Honest summary: useful if you want to read 300 lines of Python to understand how a leaderboard listener works. Useless as a trading tool.
Archetype B — the Telegram relay bot
One step up: same listener, but instead of printing to stdout it formats a message and pushes it to a Telegram channel using a bot token. The code is slightly more involved — you handle Telegram rate limits, format trade payloads into readable text, and usually add some kind of debounce so a wallet placing five trades in two seconds does not flood the channel.
I read four of these. The interesting thing about archetype B is that it is the one users actually deploy. The author wires it up to their own Telegram channel, charges $20–$40 per month for access, and runs it on a $5 VPS for six months until they get bored. Code quality is mixed. Half of them have a hard-coded RPC endpoint that has long since rate-limited; the other half use a free public endpoint and silently drop events under load.
The honest assessment: archetype B is a fine on-ramp for understanding which wallets to watch. As a production execution path it inherits the entire latency problem that any Telegram-based workflow has — by the time you read the alert and open the app, the leader’s entry price is gone. See my five tool types comparison for the edge-capture numbers; manual execution from alerts captures roughly 22% of the leader’s realised edge.
Archetype C — the full execution bot
This is the archetype people are actually searching for when they type “polymarket copy trading bot github” into Google. A self-contained system that detects a leader fill, decides whether to mirror it, signs an EIP-712 order, and submits it to the Polymarket CLOB — all without human input.
There are, generously, three or four of these on GitHub in mid-2026. I cloned each, read the code, and tried to run the ones whose dependencies still resolved. The pattern is consistent: an ambitious initial commit, a flurry of activity for 4–8 weeks, then either silence or the kind of sporadic “fix readme typo” commits that are not real maintenance.
Common code smells I found across these repos:
- Hard-coded position sizing. The bot mirrors the leader’s exact USDC amount, with no scaling to the follower’s bankroll. This is a footgun that will blow up small accounts the first time a whale places a large fill.
- No idempotency on order submission. If the bot crashes after submitting but before logging, it will resubmit on restart. I found this bug in two of the three executors I read.
- RPC singleton with no failover. One endpoint, one provider. When that provider has a five-minute outage (which Polygon RPC providers do, regularly), the bot is silently offline.
- Public mempool submission. Every transaction is broadcast publicly, which is fine for small mirrors and disastrous for larger ones — you become the front-runner’s target. No private bundle support in any of the repos I reviewed.
- Test coverage near zero. The most ambitious repo had a dozen unit tests, all on the order-formatting code. None on the listener or the submitter. The two components that move money were untested.
The honest read: archetype C is the most exciting code to look at and the most dangerous to run. If you are an engineer who wants to learn the architecture of a polymarket bot github project end to end, fork one and read it. Do not point it at real money without a serious rewrite. The architecture deep-dive covers what the rewrite would have to address.
Archetype D — the market-making framework
Tangentially related to copy-trading: a bot that posts maker orders on Polymarket markets to earn the maker rebate. The code is usually more disciplined than archetype C because the operators who write market-makers are typically experienced HFT engineers, not weekend Polymarket enthusiasts. I have seen two of these on GitHub that I would describe as “competently written.”
Why mention this in a copy-trading review: because a non-zero number of people typing “polymarket bot github” into Google actually want a market-maker, not a copy-trader. They are different products. A market-maker provides liquidity and earns fees; a copy-trader consumes liquidity and pays them. If your search led you here looking for market-making code, archetype D is the right thing to clone, but it has nothing to do with mirroring smart-money wallets.
Archetype E — the arbitrage detector
Scans the order book for structural arbitrage: YES + NO summing to less than $1 after fees, conditional markets with stale legs, cross-market spreads. The code is usually the most mathematically interesting and the least operationally useful, because by the time a retail arbitrage detector spots a $0.005 edge, several market-makers have already eaten it.
I have spent enjoyable Saturdays reading archetype E repos. I have never deployed one. The realistic edge for a retail operator running detection on free RPC against professional market-makers running on co-located infrastructure is not large. Read for education; do not expect P&L.
Side-by-side comparison of the five archetypes
Generalised numbers from the repos I have looked at over the last twelve months. Treat them as the centre of a wide range, not as a specific recommendation.
| Archetype | Typical stars | Last commit | Language | Risk gates? | License | Recommendation |
|---|---|---|---|---|---|---|
| A — Alert bot | 50–300 | 6+ months ago | Python | No | MIT typical | Learning only |
| B — Telegram relay | 100–500 | 3–12 months | Python / Node | Basic | MIT / unlicensed | OK for alerts, manual exec |
| C — Full executor | 30–200 | 1–18 months | Python / Rust | Sometimes | MIT / GPL / unclear | Most break in production |
| D — Market-maker | 20–100 | Active varies | Python | Yes | MIT / Apache | Specialist audience |
| E — Arbitrage detector | 50–300 | Mixed | Python | N/A | MIT typical | Educational, low capture |
One pattern that is worth calling out: licence clarity is the single biggest tell of repo quality. The serious authors set an MIT or Apache licence in the first commit. The weekend-project authors never get round to it, and you end up with a repo that has no LICENCE file, meaning the code is technically all-rights-reserved and you cannot legally redistribute or run a modified fork commercially. If you are forking a polymarket bot github project for production use, check the licence file before you do anything else.
Quality criteria for evaluating any polymarket bot github project
When I look at a new repository in this space, I run through a seven-point check before I even clone it. None of these are unique to Polymarket bots — they are general open-source quality signals — but they are especially relevant for code that is going to handle money on your behalf.
- Recent commits. Has there been a real commit in the last 90 days? A real commit means logic changes, not README typos or dependency bumps. The Polymarket API has changed more than once in the last twelve months; a bot that has not been touched since 2024 is statistically broken.
- Tests present. Look for a `tests/` directory and a CI badge. Most polymarket bot github repos have neither. The ones that do are not automatically good, but the ones that do not are automatically suspect.
- Documentation completeness. Does the README actually describe how to configure the bot, or does it just say “clone, install, run”? Real documentation lists environment variables, explains the risk gates, and shows example output. Sparse docs correlate with sparse care elsewhere.
- Open issues versus closed. A repo with 40 open issues and 3 closed is being ignored. A repo with 40 open and 200 closed is being maintained. Look at the ratio.
- Maintainer responsiveness. Click into the three most recent issues. Did the maintainer respond? In how many days? Silence on inbound bug reports is the loudest signal that the project is functionally abandoned.
- License clarity. Covered above. No licence = unsafe to use commercially.
- Security audit. Almost never present on this kind of project. If you find a repo that has had an audit, weight that heavily. Most have not.
Run this checklist on every polymarket bot github repo you find. It will eliminate most of them in 90 seconds and save you from cloning code that was never going to work.
The honest reality: why most open source polymarket trading bots fail
Across the repos I have read in this category, the failure modes are consistent. Knowing them helps you set realistic expectations before you fork anything.
- The Polymarket API has changed since the bot was written. Endpoints have moved, the CLOB contract has been redeployed once, and the order signing scheme has evolved. A bot from 2024 is likely to fail at the order-submission step even if the listener still works.
- The maintainer lost interest. The dominant pattern. Open-source enthusiasm has a half-life of about six weeks for a side project. Almost every archetype-C executor was abandoned by month three.
- Risk management is missing or broken. The hardest part of a copy-trading bot is the risk gate — the logic that decides “the leader did this, but I am not going to.” Hard-coded position sizing, no per-market caps, no daily loss limit. These omissions are what turn an interesting bot into a money-losing one.
- Performance is not measured. None of the repos I reviewed had a way to ask “over the last 30 days, did this bot capture more or less than 50% of the leader’s realised edge?” Without that measurement, the operator cannot tell whether their bot is working.
None of these are unsolvable. They are just unsolved in the repos that exist today. If you have the engineering time to fix them, you have a real polymarket bot. If you do not, you have a project that compiles.
How to evaluate a polymarket bot github repo before you fork
Concrete sequence I would follow if I were starting from scratch today and wanted to pick one of these repos as a foundation.
- Search restrictively. Use GitHub’s code search with `language:python polymarket copy-trading` and sort by “Recently updated.” Ignore anything with no commits in 2026.
- Read the most recent commit message. Is it “fix order signing for new CLOB contract” or is it “Update README.md”? Real maintenance versus cosmetic activity.
- Open the listener file and the submitter file. Look for retry logic, RPC failover, idempotency keys. If you cannot find these in 30 seconds of reading, the bot will fail in production.
- Check the issues tab for the words “losing money” or “double-fill.” If users have reported these, the bug is real and unfixed.
- Run it on testnet or paper-trading mode for a week before staking real USDC. Most repos do not support paper-trading mode; that itself is a quality signal.
- Budget 60–120 hours of your own engineering time to harden the repo before production use. If you do not have that time, stop here. Do not run an unhardened bot.
When DIY makes sense and when a managed service does
The honest framing: forking a polymarket copy trading bot github project makes sense if you are an engineer, you enjoy the operational side of running infrastructure, and you have an opinionated view about something the off-the-shelf services do not implement — a custom risk gate, a non-standard leader-discovery mechanism, integration with internal systems. In those cases the GitHub starting point saves you a few weeks of greenfield work and you are well-equipped to fill in the gaps.
Forking does not make sense if you are looking for a free alternative to a managed copy-trading service. The math does not work. You will spend a Saturday a month on RPC failures, a weekend per Polymarket API change, and roughly $90–$400/month on infrastructure once you size the RPC plan properly. The all-in cost is comparable to a paid managed service, with the additional downside that you are the on-call engineer at 3:00 AM when the bot triple-fills. The full DIY vs managed cost analysis walks the numbers.
If you are an engineer and you want to do this anyway, the build-a-bot tutorial is the right starting point. It will be more productive than forking an unmaintained repo and trying to retrofit the missing pieces. If you are not an engineer and you want exposure to expert wallets without writing code, a managed non-custodial service like Poly Syncer is the honest fit; the conceptual overview is in the copy-trade guide.
Final verdict on the polymarket bot github landscape
Of the open source polymarket trading bots I have read in the last twelve months, none are production-grade as-shipped. Two or three are good starting points for an engineer who is going to do real work on top of them. The rest are educational artefacts — useful for learning how the Polymarket API and CLOB behave, useless as a turn-key trading tool.
If you only take one thing away from this review: the github star count is not the signal you think it is. A repo with 800 stars and no commits in eight months is worse for your purposes than a repo with 60 stars and active maintenance this week. Sort by recently updated, read the licence, read the most recent commit message, and run the seven-point quality checklist before you clone anything. The right polymarket bot github project for you is the one with a living maintainer, not the one with the prettiest README.
The official Polymarket API docs and the GitHub code search are the canonical starting points. From there, the criteria above will tell you which of the dozen-odd polymarket copy trading bot github repos is worth your time.
Frequently asked questions
What is the best polymarket copy trading bot on GitHub?
There is no single best polymarket copy trading bot on GitHub as of May 2026. The landscape consists of roughly a dozen repositories falling into five archetypes: simple alert bots, Telegram relays, full execution bots, market-makers, and arbitrage detectors. Of the ambitious archetype-C full executors, none are production-grade as-shipped. The honest recommendation is to pick the one with the most recent meaningful commit, the clearest license, and active maintainer responsiveness on issues, then budget 60 to 120 hours of your own engineering time to harden it before running real USDC through it.
Are open source polymarket trading bots safe to use?
Safety in this context has two dimensions: code safety and operational safety. On code safety, almost none of the polymarket bot github repos have had a security audit; you are reading the source yourself and trusting your own review. On operational safety, the failure modes that matter are missing idempotency on order submission, no RPC failover, public mempool exposure, and hard-coded position sizing. None of these are inherently fatal but all of them require engineering work to address before the bot is safe to run with non-trivial capital.
Can I fork a polymarket bot github repo and run it for free?
You can fork it for free but you cannot run it for free. A serious self-hosted polymarket bot needs a dedicated VPS at roughly forty to one hundred dollars per month, a premium RPC plan at fifty to three hundred dollars per month for usable latency, and ongoing operator time for maintenance and incident response. The all-in cost is broadly comparable to a managed copy-trading service. The free GitHub repo gets you the source code; everything else costs the same either way.
How do I tell if a polymarket bot github project is abandoned?
Three quick signals. First, the last commit date: anything older than 90 days is suspect, anything older than six months is almost certainly broken because the Polymarket API has moved on. Second, the open-to-closed issues ratio: many open and few closed indicates the maintainer is not responding. Third, the most recent commit message: real maintenance commits change logic, not README typos. Run all three checks before cloning anything.
Should I build my own polymarket bot or use an open source one from GitHub?
Build your own if you have a specific edge or feature that no existing repository implements and you are an experienced engineer with infrastructure time to spend. Fork from GitHub if you want to learn how a polymarket copy trading system works end to end and you are willing to harden the repository before production use. Use a managed non-custodial service like Poly Syncer if you want exposure to expert wallets without engineering work and you value keeping custody of your USDC. The choice is about your time and your edge, not about which option is technically cheapest.