Understanding automated trading

A clear look at algorithms, evidence and the risks behind AI trading claims.

LOOK INSIDE THE PROCESS

Data

What goes into the system?

How are the rules tested?

Who can stop the process?

Educational information. No trading accounts, deposits or guaranteed returns.

Identify whether a result comes from live orders, a simulation or a selected screenshot. Ask for the dates, costs and assumptions behind it.

An AI label is not a description of a strategy. Separate the data, decision rules, order process and oversight.

Verify the legal entity and relevant permissions independently. Examine the actual product agreement before relying on a claim.

Step 1

Identify the product, the provider and the exact claim you want to check. A technology label does not answer those questions.

Step 2

Review the method, costs, losses and limitations. Compare the evidence with independent records and clearly stated assumptions.

Step 3

Understand potential loss, account access and the process for stopping an automated system. Seek qualified advice when terms are unclear.

No. It is an informational resource. It does not accept deposits, connect financial accounts or operate a trading robot.

No. A technology label does not establish performance, suitability or legitimacy. Read the evidence and consider the potential loss.

No. A simulation depends on its data and assumptions. Execution, costs and changing conditions can affect real transactions.

Read the automation overview, then use the testing guide and risk checklist to organise your research.