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Swissquote Automated Trading Systems checklist

Automated trading systems place orders based on predefined rules, ranging from simple alerts to fully algorithmic strategies. Whether and how you can run automation through Swissquote depends on the platforms, APIs and account terms it currently offers, which you must confirm from the broker directly. This page provides a checklist of what to verify and what to test before running any automated strategy with real money.

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Confirm automation support from official documents

Automation support differs by broker, platform, entity and account type. Some brokers allow expert advisors or scripts on specific platforms, some offer APIs, and some restrict automation entirely. Do not assume Swissquote supports a particular automation method based on third-party articles. Check the broker's current platform documentation and terms of service, and get written confirmation for anything that matters to your strategy.

Ask which platforms or APIs, if any, currently permit automated order placement for your account type and country.
Read the terms of service for rules on automated activity, order frequency or prohibited strategies.
Confirm whether automation availability differs between the broker's regulated entities.
Record the date and source of each answer, since terms change.

Technical and cost questions before running a system

If automation is available, the practical details determine whether a strategy is viable. Execution speed, order type support, data quality and costs all affect automated results more than they affect manual trading. Ask precise questions and verify the answers against current pricing schedules and technical documentation rather than marketing pages.

Which order types can be submitted programmatically, and are there rate limits or throttling rules?
What are the current commissions, spreads, financing charges and any data or API fees?
Is there a paper trading or demo environment for testing before going live?
How are outages, rejected orders and partial fills handled, and what are your responsibilities during downtime?

Testing discipline and ongoing monitoring

An automated system is only as good as its testing and supervision. Backtests can overstate results due to survivorship bias, unrealistic fill assumptions and overfitting, and live conditions introduce slippage and latency that tests may not capture. Whatever broker you use, plan a staged rollout and continuous monitoring rather than switching a strategy on and walking away. The internal links below can help you continue broker research.

Test on a demo environment first, then with small live size before scaling.
Monitor live fills against expected fills to detect slippage or execution drift.
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FAQ

Does Swissquote support automated trading or trading APIs?

This page does not confirm current automation support at Swissquote. Availability depends on platform, entity, country and account type, so check Swissquote's official platform and API documentation or ask its support team in writing.

Why do backtested results often differ from live automated results?

Backtests can assume perfect fills, ignore slippage and fees, or be overfitted to past data. Live trading adds latency, partial fills and changing market conditions. Forward testing on a demo account and starting with small live size helps expose these gaps.

What should I monitor once an automated system is live?

Track fill quality versus expectations, error and rejection rates, connectivity, position and margin levels, and whether the strategy's behaviour still matches its rules. Have a manual shutdown procedure ready in case the system or your connection fails.