Trading 212 has expanded its AI chatbot to answer questions about customers’ personal transaction histories, moving the technology beyond portfolio analysis and market research into account-level financial information.
A newly identified Help Centre document confirms that the broker’s AI Chat can retrieve details of investment orders, trading fees, dividend payments, interest earned, deposits, withdrawals, card spending and cashback directly from customers’ account records.
The functionality allows users to ask questions in natural language rather than manually searching transaction histories or calculating totals from account statements.
Trading 212 has not disclosed when the account-history functionality became available. Its documentation describes the feature as available now, but does not provide a publication date or identify when the underlying access was introduced.
AI Chat Moves Beyond Portfolio Analysis
Trading 212 originally introduced its AI chatbot in April 2026, positioning it as an investment research assistant capable of examining portfolio holdings, identifying market-moving news, summarising analyst ratings and comparing financial instruments.
In its April 3 announcement, the broker explained that the chatbot could access users’ actual portfolio holdings and combine that information with market data to answer questions about investment performance.
The account-history capability goes further by allowing customers to query recorded financial transactions, including activity unrelated to individual investment positions.
Users can ask how much they have deposited since opening an account, identify their largest card expenses from the previous month, calculate dividend income over a specified period or review interest earned on uninvested cash.
The chatbot can also identify securities purchased or sold during a particular period, including quantities, execution prices and applicable fees such as currency conversion charges and stamp duty.
For dividends and interest, Trading 212 says the system can distinguish between gross payments, tax withheld and net amounts credited to customers.
The broker describes the functionality as retrieving information directly from account records rather than independently estimating balances or reconstructing transactions from market data.
That distinction is important because the chatbot is now being used to present customer-specific financial records, not merely generate explanations about securities or market developments.
Which Accounts Can Use the New Functionality?
According to Trading 212’s documentation, account-history queries are supported for Invest accounts, UK Individual Savings Accounts (ISAs) and UK Self-Invested Personal Pensions (SIPPs).
The feature does not currently support historical queries involving contracts for difference (CFDs) or cryptocurrency accounts.
Several additional restrictions apply. AI Chat cannot provide a live cash balance, and customers must continue using the main application for current cash information and certain card-specific details.
The chatbot can summarise spending by merchant category, but cannot currently calculate spending associated with an individual retailer or merchant.
Financial figures are also presented in the account’s existing currency, without automatically converting transaction amounts between currencies.
Trading 212 says the information is intended for factual account-history queries and does not constitute investment, financial or tax advice. Customers requiring documentation for tax reporting must use official statements rather than AI-generated responses.
The expansion comes as Trading 212 broadens its operations beyond share trading. The broker previously introduced multi-currency card services through a partnership with Paynetics, while its UK pension offering has added another category of long-term financial account.
Bringing those records into a conversational interface potentially allows customers to examine multiple aspects of their financial activity without navigating separate screens.
Accuracy Questions Accompany Deeper Account Access
The wider functionality also raises questions about how AI-generated responses are checked against financial records.
Trading 212 explicitly states that its AI responses are automated, are not reviewed by a human and may contain incomplete, incorrect or outdated information.
The broker’s documentation advises customers not to rely on the chatbot when making investment decisions and says official account statements remain the definitive records when discrepancies arise.
Those warnings have particular relevance when an AI assistant is asked to report financial figures rather than provide general market commentary.
On October 11, a Reddit user alleged that Trading 212’s chatbot had supplied unsupported information when questioned about the banks associated with interest paid on uninvested customer cash.
The user expressed concern that inaccurate explanations about financial arrangements could affect customers’ investment decisions despite the chatbot’s disclaimers.
The allegation has not been independently substantiated, and the user’s account does not establish that the chatbot produced incorrect transaction-history figures.
Earlier criticism appeared in Trading 212’s own community forum following the chatbot’s April introduction. One user complained about incorrect identification of financial instruments and questioned the reliability of numerical analysis. Another subsequently reported difficulties obtaining accurate portfolio dividend-yield information.
These individual experiences do not establish a systematic defect, but they highlight the importance of distinguishing between verified account records and the AI-generated explanations built around them.
Data Access and Safeguards Remain Key Questions
Trading 212’s Help Centre confirms that AI Chat retrieves information from customer account records, but it does not explain the system’s detailed technical architecture.
The documentation does not establish which underlying AI models process transaction queries, whether external providers receive account-level information, or what validation procedures are applied before financial totals appear in chatbot responses.
It also does not establish whether all calculations are performed by conventional account-data services before being presented conversationally, or whether any calculations are delegated to the language model itself.
These distinctions matter because retrieving a recorded transaction is different from generating a financial calculation or interpreting an institution’s custody arrangements.
Trading 212’s expansion reflects a broader shift in brokerage technology. Competitors are increasingly introducing conversational systems that interact with proprietary platform data rather than relying exclusively on public financial information.
FinanceFeeds previously examined how Interactive Brokers, eToro, Robinhood and other brokers are integrating AI into brokerage workflows, including portfolio analysis, research and trading-related activities.
Trading 212’s latest documented functionality extends that trend into personal transaction histories and everyday financial activity.
For now, the broker’s own guidance maintains a clear distinction between conversational access and authoritative records: customers can use AI Chat to review their activity, but official statements remain the final reference for verifying financial information.
Johan Shamshad is a financial markets writer at Dave Finances covering cryptocurrencies, trading platforms, brokers, fintech, financial regulation, and developments across global markets. He previously worked at Gulf News, adding newsroom experience to his coverage of fast-moving financial and digital-asset markets.
His work focuses on identifying market-moving events, company developments, regulatory changes, product launches, and shifts in trading and financial infrastructure.
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