Home Server vs VPS: Where Should You Run Your Trading Bot?

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🌐 한국어

Once your bot clears backtesting and is ready for live trading, one question remains: where do I run this? Leave the PC at home on 24 hours a day, or rent a VPS for a few dollars a month?

The right answer depends on the strategy. But the decision comes down to four criteria.

Criterion ① Uptime — Does It Actually Stay Up?

This is the home PC's weakest link. While your bot is down, the market keeps moving. The worst case is the bot going dark while holding a position—that's functionally identical to having no stop-loss.

Realistic reasons a bot stops in a home environment:

  • Power outage — even a brief flicker kills the PC. Without a UPS there's nothing you can do
  • Internet drop — router reboots, line maintenance, ISP outages
  • Windows auto-update reboot — surprisingly, this is number one. It quietly restarts overnight
  • Sleep mode — you meant to turn off the display and put the system to sleep instead, dropping the network
  • Human error — rebooting to play a game, unplugging the cable while cleaning

A VPS (Virtual Private Server — a virtual machine in a data center rented by the month) makes most of these disappear. Data centers have uninterruptible power and redundant lines, and outside of kernel updates there's no reason for a reboot.

If you're staying at home, do at least these two things: block Windows automatic-update reboots and fully disable sleep mode. That alone halves your incidents.

Criterion ② Network Latency — How Much Does It Matter?

This is the item people most overestimate. The short answer: it depends entirely on the strategy.

  • Strategies on a minutes-to-hours horizon (swing, trend following, rebalancing) — a 100 ms difference is effectively meaningless. Running at home is fine
  • Second-scale strategies (grid, short-term gaps) — it starts to matter. It affects your fill failure rate
  • Arbitrage and microsecond competition — decisive. And this is not a game an individual wins on latency in the first place

What matters is measuring rather than guessing. Time the round trip to the exchange API yourself.

import time, statistics

import requests

URL = "https://api.example-exchange.com/v1/ticker"  # replace with your real endpoint

samples = []

for _ in range(30):

    t0 = time.perf_counter()

    requests.get(URL, timeout=5)

    samples.append((time.perf_counter() - t0) * 1000)  # ms

    time.sleep(0.5)

samples.sort()

print(f"median {statistics.median(samples):.1f}ms")

print(f"p95    {samples[int(len(samples) * 0.95)]:.1f}ms")

print(f"worst  {samples[-1]:.1f}ms")

Look at p95 and the worst case, not the average. A line that averages 40 ms but occasionally spikes to 800 ms can be worse than one that sits at a steady 90 ms. What kills bots is the tail, not the average.

If you go with a VPS, region selection matters more than specs. Pick an overseas region while using a Korean brokerage API and no amount of extra CPU will reduce your latency.

Criterion ③ Cost — Put Electricity in the Math

"The home PC is free" is a common belief, but running 24 hours a day isn't free.

A typical desktop draws roughly 60–100 W at idle. Take 60 W and run the month and you're at about 43 kWh—more in felt cost once tiered rates enter the picture. Keep a high-spec PC or a monitor on alongside it and that can more than double.

The specs needed to run one bot are lower than people expect. A minimal VPS at 1 vCPU / 1 GB RAM runs most Python and Go bots comfortably, and that tier generally costs about a couple of cups of coffee per month.

So on pure cost, a low-spec VPS is cheaper than or comparable to running a home PC around the clock. Add the uptime advantage on top and cost is actually a point in the VPS's favor.

Criterion ④ Management Burden — Can You Handle Linux?

The real cost of a VPS isn't money—it's learning time. SSH access, Linux commands, firewall configuration, process management, reading logs. First time through, that's a few days.

And owning a server exposed to the internet comes with responsibility. At minimum, do these.

  • Disable SSH password login; use key authentication only — brute-force attempts start the day you create the server
  • No direct root login; use a normal account plus sudo
  • Firewall down to only the ports you need — a bot only makes outbound connections, so there's almost nothing to open
  • Authenticate any dashboard you expose — an unauthenticated web dashboard is a control panel for someone else's use of your bot

So Where Should You Run It?

Broken down by situation:

  • Development, backtesting, paper trading → home PC. No debate. Edit code and run immediately is overwhelmingly faster
  • Starting live with small size → home PC is acceptable. But disable sleep and auto-reboot, and make the bot alert you when it dies
  • Strategies that hold positions overnight → VPS. Uptime is risk management
  • Strategies needing second-scale reaction → VPS, in a region close to the exchange
  • Using a Windows-only brokerage API → it won't move to a Linux VPS. Use a Windows VPS, or keep the home PC and build an uptime plan around it

What I'd personally recommend is a hybrid. Develop and backtest at home; deploy only validated code to the VPS. Set up a deployment path with Docker or Git and that round trip becomes a single command.

And wherever you run it, always build something that tells you the bot is alive. A one-line status message to Telegram every 30 minutes is enough to avoid the worst outcome: not knowing how long it's been dead.

Summary

  • The criteria are uptime, latency, cost, and management burden
  • The home PC's worst enemy isn't hackers — it's power outages and Windows auto-reboots
  • For latency, measure, don't guess, and look at p95 and the worst case rather than the average
  • Once electricity is included, a low-spec VPS can actually be cheaper
  • The real cost of a VPS is Linux learning time and security responsibility
  • For strategies on a minutes-or-longer horizon, latency isn't worth worrying about
  • Wherever it runs, a liveness alert is mandatory

Rather than hunting for "the better place," decide first what your strategy is actually sensitive to and the answer arrives quickly. Attaching a low-latency server to a bot that rebalances once a day is waste; leaving a bot that sleeps holding positions on a home PC is a gamble.

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