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Kalshi Trading Bots: Why a VPS Gets You Blocked

P
ProxyBase Team
September 2026 • 7 min read

Every guide to running a Kalshi bot says the same thing: rent a VPS, put it near the exchange, keep it always on. It is reasonable advice about where to run code. It is also, on its own, the reason your bot is getting rejected.

Here is the part the guides skip. A VPS does not just sell you a machine. It sells you an IP address that belongs to a hosting network, and the network class of that address is precisely what Kalshi’s firewall is built to reject.

What you actually rented

Every IP address sits inside an Autonomous System, a block of addresses announced by one operator. AWS is an AS. Hetzner is an AS. So is Comcast, and so is Verizon. What separates them is class: hosting networks versus eyeball networks, meaning real people on real home connections.

That classification is public and commercially maintained. Any service can look up an IP and tell you which AS it belongs to and what kind of network that is, in microseconds, before your request body is even parsed.

Kalshi is a CFTC-regulated exchange and must enforce a geographic boundary to keep its licence, so it inspects the network origin of every incoming connection. When your bot on a Hetzner box calls the API, the request arrives carrying a hosting ASN and is rejected on that basis, independently of your API key, your account status, or whether you are a verified US resident who is entitled to trade.

That independence is what makes the failure so confusing. You can be perfectly eligible and still blocked, because eligibility and network class are two separate checks and the second one runs first.

Why the guides still recommend a VPS

Most articles ranking for Kalshi bot queries are published by VPS providers. They are answering “where should this code run”, and the metric they optimise is proximity and uptime. Network class is not their product, so it does not come up.

The tell is that the same guides often mention the block in passing, then suggest trying a different region. Region changes do not help when the entire class is rejected.

How it fails, in practice

The simplest failure is a rejection on the first request from a fresh VPS. It is obvious and immediate, which is why it is the one that sends people looking for an answer.

Intermittent failure is harder to read. Many providers reassign IPs within a pool, so an address that was clean when you provisioned can later carry the reputation of a previous tenant who abused it. Your behaviour did not change; your IP did.

The hardest to diagnose is neighbour contamination. On shared hosting ranges, what other tenants do from adjacent addresses affects how the whole block is treated. You get rate-limited or flagged for traffic that has nothing to do with you, and there is no fix available from inside your own instance.

Separate the compute from the network identity

The fix is not to abandon the VPS. Keep the machine; it is a fine, cheap place to run code. What has to change is that the machine’s own IP no longer needs to be the one that reaches Kalshi.

Route the exchange traffic through a US residential exit and let everything else go direct. Your order flow then originates from a residential ISP in the country Kalshi expects, while your compute stays wherever it is cheapest.

import requests API = "https://api.proxybase.xyz/v2" TOKEN = "sk_your_session_token" GATEWAY = "api.proxybase.xyz:1082" # Open a sticky session that exits from US residential IPs. r = requests.post( f"{API}/sessions", headers={"Authorization": f"Bearer {TOKEN}"}, json={ "country": "US", "network_type": "residential", "session_type": "sticky", "spend_cap_microcredits": 5_000_000, }, timeout=15, ) r.raise_for_status() session_id = r.json()["session_id"] # username = session_id, password = session token proxies = { "http": f"socks5h://{session_id}:{TOKEN}@{GATEWAY}", "https": f"socks5h://{session_id}:{TOKEN}@{GATEWAY}", } # Confirm the exit before trading. print(requests.get( "https://api.ipify.org?format=json", proxies=proxies, timeout=10 ).json()) # Route only the exchange leg through the proxy. status = requests.get( "https://external-api.kalshi.com/trade-api/v2/exchange/status", proxies=proxies, timeout=10, ) print(status.json())

Two things in that snippet are deliberate. The connection string uses socks5h:// so DNS resolves at the exit node rather than locally. Otherwise your own resolver still sees every lookup even though the traffic is proxied, and that mismatch between resolver and connection origin is a signal you can trivially avoid.

And only the exchange leg is proxied. Market data that Kalshi serves publicly, your logging, and your alerting need no residential exit, and sending them through one burns bandwidth you are paying for by the gigabyte.

On latency, and on what you pay for

The instinct that a VPS must be faster is worth examining. What matters for a bot is total round-trip time to the exchange, and the dominant term there is geographic distance, not the speed of the instance. A residential exit in the same metro as Kalshi’s infrastructure will generally beat a datacenter box an ocean away, which means node selection matters more than machine size.

Within a session, setup cost dominates per-request cost. Keep the session warm and reuse it instead of reconnecting per call, and keep your WebSocket stream on the same session as your orders so the feed and the execution path share one origin. Splitting them across two exits is a common mistake: your data feed and your order flow then appear to come from different networks, which is the pattern detection is designed to notice.

The cost model differs too. A VPS is a flat monthly fee you pay whether or not you trade, and it buys you a machine whose IP is pre-flagged for this purpose. A per-gigabyte proxy costs nothing when you are idle and scales with actual order flow. For a bot that trades a few hours a day around specific events, that is frequently the cheaper shape as well as the working one.

Frequently Asked Questions

Why does my Kalshi bot get blocked on a VPS?

Your VPS IP belongs to a hosting ASN. Kalshi classifies connections by network origin before it evaluates credentials, so hosting addresses are rejected whether or not your account is verified and eligible.

Will a VPN on the VPS fix it?

Not durably. Most VPN exits are datacenter-hosted so the ASN flag carries over, and shared VPN ranges get blocklisted as a unit. It may work briefly and fail without warning.

Is a residential proxy slower?

Distance matters more than machine speed. A residential node near the exchange usually beats a distant datacenter instance. Choose seller nodes close to the venue and reuse warm connections.

Do I still need the VPS?

Yes, as compute. The change is that its IP no longer has to reach the exchange, because the proxy does. Keep the compute where it is cheap and put the network identity where Kalshi requires it.

Does this let me trade without being eligible?

No. Kalshi is available to US residents only, and this does not change who you are. It fixes your infrastructure being in the wrong place when you are already eligible. Misrepresenting residency breaches Kalshi’s terms.

US residential SOCKS5 credentials in minutes, paid per GB in crypto, no KYC. Point your Kalshi bot at a network that its firewall accepts.

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