Getting started with self-hosted algorithmic trading

Automating a trading strategy is less about clever code and more about discipline: a clear rule set, a reliable connection to your broker, and honest handling of the cases where things go wrong. This guide walks through the fundamentals of running an algorithmic strategy on your own machine, where your credentials never leave your computer.

Why self-hosted

Most retail algo platforms are cloud-hosted. You upload your strategy, hand over broker credentials, and trust that a third party's servers sit reliably between you and the exchange. That model has three problems: you don't control uptime, your keys live somewhere you can't see, and if the vendor disappears, so does your automation.

Self-hosting inverts all three. The software runs locally, connects directly to your broker's API, and keeps every credential on your machine.

The four building blocks

Every automated strategy, regardless of complexity, comes down to the same pipeline:

1. Market data — a live feed of prices, delivered over a WebSocket or polled from a REST endpoint.
2. Indicators — derived values (RSI, moving averages, ATR) computed from that data.
3. Signals — the rules that turn indicator values into decisions: enter, exit, do nothing.
4. Execution — placing and monitoring orders through the broker API.

The hard part is never the happy path. It's what happens when the feed drops, an order partially fills, or the market gaps through your stop.

A minimal rule set

Here's the kind of logic the Indicator Engine expresses visually, shown as pseudocode:

if rsi(14) < 30 and price > ema(20):
    enter_long(quantity=1)

if position.pnl_pct >= 2.0 or rsi(14) > 70:
    exit_position()

Two conditions in, two conditions out. Start here. Complexity is easy to add and hard to remove.

Handling the unhappy path

Before you go live, write down what should happen when:

• The data feed disconnects mid-session
• An order is rejected by the broker
• The process crashes and restarts with an open position

A strategy that ignores these isn't automated — it's just unattended.

Next steps

Once your rule set behaves predictably in paper mode and you've tested reconnection and restart, you're ready for a small live allocation. Scale slowly. The goal of automation is consistency, not speed.

If you'd like to see this running on your own strategy and broker, book a demo — we'll set it up on your machine and walk through the failure handling live.