Investment, Research and AI Risk Notice

Effective date: 27 September 2026   Last updated: 27 September 2026   Version: 2026.09

This notice covers Autonomous Trading research, market intelligence, quantitative models, signals, educational content and AI-assisted explanations on the website and, when linked from the app, in the application. It should be read with the Terms of Service. It describes risk; it cannot change the legal character of an actual service or replace disclosures required beside a particular recommendation.

Research and recommendations

Factual market data, educational explanations, quantitative scores, research opinions and instrument-specific recommendations are different kinds of content. A BUY, SELL, SHORT, target or similar instrument-specific conclusion may be a non-personalized investment recommendation rather than mere general information. Such content may require producer, timing, methodology and conflict disclosures under applicable law. We intend to provide research and, where applicable, non-personalized recommendations; we do not intend to select transactions as suitable for a particular person's finances, holdings, objectives or risk tolerance.

Remembering a conversation, earlier questions or previously discussed research can improve continuity and explanation. That experience personalization is distinct from using your personal circumstances to recommend a particular investment transaction. The current Flowise Expert is intended to explain and contextualize signals and research. The planned stateful AI Trading Strategist is not a completed production product. Neither description is a substitute for testing actual outputs against the intended boundary.

You can ask to see research or signals for a company, instrument, market or theme. Retrieving a pre-existing output, such as an AAPL signal, in response to your request does not by itself make it suitable for you. The underlying research should not change because of your personal financial circumstances. Check whether a displayed signal is current, historical, corrected or withdrawn; a current instrument-specific BUY, SELL or SHORT view may require its own recommendation disclosures.

QMI AI research/model portfolio

QMI AI's model constituents, rankings, allocations or weights where applicable, rotations, targets and risk analytics represent quantitative research outputs. The model portfolio is not constructed or adjusted for your financial circumstances, investment objectives, risk tolerance, capacity for loss or suitability profile. It is distinct from your actual holdings and any paper or simulation portfolio. Inclusion in the model does not establish that an instrument or the portfolio is suitable for you, and you are not required or expected to replicate it with real capital. Model outputs may constitute non-personalized investment recommendations or information suggesting an investment strategy and require the applicable item-level disclosures.

Investment and trading risk

Equities and other financial instruments can lose value rapidly; leveraged, short and derivative positions may involve especially large losses and, in some cases, losses greater than the initial amount committed. You may lose all capital allocated to a position. Volatility, liquidity, trading halts, market gaps, currency movements, borrowing costs and changing regulations can affect outcomes. A model's stop level is not a guaranteed exit price. You remain responsible for any investment and execution decision and should assess your own circumstances with an appropriately authorized professional if needed.

Our preferred learning path is to learn the research, evaluate it through simulation or paper trading, and then make an independent decision. Paper trading does not reproduce every cost, constraint or emotion of using real capital. If you independently decide to use real capital, Autonomous Trading has not assessed whether a particular transaction is suitable for your circumstances. Consider advice from an appropriately qualified independent financial professional before acting where it would help you assess those circumstances.

Historical, hypothetical and forward-looking information

Past signals, published case studies, performance charts, simulated trades and backtests do not predict future results. Backtests and hypothetical results depend on data selection, assumptions, survivorship, look-ahead controls and execution assumptions; they may not reflect actual user trades. Reported model returns or accuracy may exclude fees, spreads, slippage, financing, taxes, delays or failed executions unless the specific methodology expressly includes them. A price target, forecast or scenario is an uncertain opinion as of its stated time, not a promise or guarantee. Historical examples should be assessed with their original timestamp and complete record, including unsuccessful outcomes.

Models, data and availability

Quantitative outputs depend on model design and the quality, timing and coverage of source data. Data can be delayed, stale, incomplete, revised or wrong; markets can change faster than an update cycle. A model can fail in conditions unlike its training or test history. Third-party market-data, hosting and communication services can be unavailable. The price and execution you obtain through a broker may differ materially from any displayed level or hypothetical result.

AI-assisted research

Some explanations and analyses are generated or assisted by AI. When you interact directly with an AI research interface, you should be told that you are interacting with AI at that point of use. AI can misread a question, invent a source, omit context or state an incorrect conclusion confidently. Check important figures, citations and timestamps against primary material. Human review may occur for some published work, but should not be assumed for every output unless indicated. The underlying model or provider may change; this notice does not promise use of a particular frontier model. Processing of AI inputs is described in the Privacy Policy.

Execution, geographic availability and conflicts

A displayed signal, model portfolio or research conclusion does not itself confirm a trade. Where users execute through their own broker, actual order placement, sizing and execution remain their decision and may produce different results. Any genuinely automated execution capability must be identified separately with accurate product terms, controls and regulatory review; this notice does not establish that such a capability exists or is available to every plan. Products and instruments may be restricted by jurisdiction, investor status or local law.

For any publication that constitutes an investment recommendation, relevant producer identity, interests and conflicts, date/time, source and methodology information must accompany the item or be directly and freely accessible from it as required for that publication. Corrections and material updates must preserve the original context and identify what changed. A general statement here cannot replace a specific conflict disclosure.

Contact and revisions

For questions about a specific research item or its disclosures, contact sales@autonomoustrading.io. Material revisions will be dated here and, where required, notified through the service. See also the Cookie Policy and operator details.