Spread betting carries a high level of risk. Between 51-82% of retail investor accounts lose money. You should consider whether you can afford to take the risk of losing your money.
BetTheSpread
Home/Guides/How to Automate Your Spread Betting: A Step-by-Step Guide
ai trading

How to Automate Your Spread Betting: A Step-by-Step Guide

Platforms with APIs, strategy builders, and everything you need to build automated spread betting systems in 2026.

BetTheSpread2026-03-049 min read

Automated trading removes emotion from your decisions and lets strategies run around the clock. Combined with the tax-free status of spread betting, automation becomes a powerful tool for UK traders. Here is how to get started.

Platforms with Automation Support

PlatformMethodLanguageBroker
IG REST APICustom botsAny (Python, JS, etc.)IG
ProRealTimeVisual + codeProBuilderIG, City Index
cTrader AutomateFull IDEC#Pepperstone
MT4 Expert AdvisorsScriptsMQL4Pepperstone, FXCM
TradingView Pine ScriptAlerts + webhooksPine ScriptIG, Pepperstone
Capitalise.aiNatural languageEnglishPepperstone

Step-by-Step: Building Your First Bot

Step 1: Choose Your Strategy

Start simple. A moving average crossover (buy when the 20-period MA crosses above the 50-period, sell when it crosses below) is a classic first strategy. It will not make you rich, but it teaches the mechanics of automation.

Step 2: Backtest

Test your strategy against historical data. ProRealTime and cTrader both have built-in backtesting engines. For API-based approaches, libraries like backtrader (Python) or QuantConnect provide institutional-grade backtesting.

Step 3: Paper Trade

Run your strategy in demo mode for at least 2-4 weeks. Compare live results to your backtest. If there is significant slippage or the strategy underperforms, investigate before going live.

Step 4: Go Live (Small)

Start with the minimum stake size. Monitor your bot closely for the first week. Common issues include: connection drops, order rejection, and unexpected market conditions the backtest did not cover.

Risk Management for Automated Trading

Automation can amplify losses just as easily as gains. Essential safeguards:

  • Maximum daily loss limit — stop the bot if it loses more than a set amount in a day
  • Position size limits — never let the bot risk more than 2% of capital per trade
  • Kill switch — a manual override to stop all trading immediately
  • Monitoring alerts — get notifications when the bot opens or closes positions
  • Guaranteed stop losses — use them on every automated trade

The Easiest Path: ProRealTime

If you do not want to code, IG's ProRealTime integration is the most accessible option. You can build strategies visually, backtest them against years of data, and set them to auto-execute — all within the platform. No API keys, no servers, no coding required.

Risk warning: Automated trading carries the same risks as manual trading. Past performance of a backtest does not guarantee future results.