Turn AI trading headlines into an evidence-based risk brief

Understand what the claim is actually about

Algorithmic trading is a broad category. A fixed-rule system, a machine-learning prediction model and an LLM agent making tool calls are not interchangeable. Before accepting a headline about agents taking over a market, identify the actual system, its authority and the evidence of deployment.

The Financial Stability Board’s AI report identifies possible vulnerabilities including correlated market behaviour, concentrated providers, cyber risk and model/data governance. It describes risks to monitor, not a prediction that a particular crash must happen.

The Reserve Bank of Australia’s financial-stability review discusses how shared models and data may make decisions more correlated. A common input can lead to similar reactions; whether that destabilises a market depends on positions, liquidity and safeguards.

Bring the evidence, not your brokerage login

1. Choose one claimCopy the article URL and the exact paragraph you want explained. Include its publication date, author and any report it cites.
2. Add the source materialOpen Claude and paste the excerpt or upload the report you are entitled to use. Web search is helpful where your account provides it; pasted source material also works without browsing.
3. Run the complete promptPaste the prompt below. It produces the finished brief, rewrites overconfident statements and names what the source does not establish. Do not connect trading accounts or provide passwords, balances or personal holdings.

The one-run evidence brief

Turn the public article or report I provide into a concise financial-education brief. Do not give me trades, price targets, portfolio allocations or personalized financial advice. Ask at most three missing questions if essential; otherwise use the supplied material and state the limits.

First identify the exact claim and the system described: fixed-rule algorithm, statistical machine-learning model, LLM assistant, or tool-using agent. If the source does not establish which, say unknown rather than guessing. Distinguish an agent producing research from an agent authorized to execute orders.

Return the finished brief with these sections:
1. What is documented: up to four factual statements, each linked to the exact supplied source and dated. If browsing is available, open primary references before citing them. Never invent a citation or treat a search snippet as the full report. If access fails, label the supplied excerpt and the verification limit.
2. How the risk could work: explain one concrete chain, such as shared input → similar decisions → concentrated orders → stress when liquidity is thin. Label hypothetical steps as a scenario, and include one condition that could interrupt the chain. Do not state that all agents think alike.
3. What the headline overstates: separate observed evidence, simulations, forecasts and opinion. Rewrite the headline and its most exaggerated sentence into accurate, still-readable wording.
4. What the source does not prove: identify unsupported claims about market share, guaranteed crashes, superiority over humans, or a profitable time horizon.
5. A plain-language takeaway: under 80 words explaining the finding without telling me how to invest.

Keep the complete brief under 600 words. Explain unfamiliar terms on first use. Include an evidence table with claim, source, date and evidence type. Finish with one or two primary links for further reading, not a list of homework.

Article or excerpt: [paste here]

What a useful result looks like

Example input: a headline saying that identical AI agents will cause the next flash crash. A sound brief would identify whether the article describes observed trading or a proposed scenario, explain the possible correlation mechanism and avoid turning a risk warning into an inevitable outcome.

A finished correction might read: ‘Shared AI models could increase correlated decisions in some markets; the scale and consequences depend on adoption, liquidity and controls.’ That is an example of calibrated wording, not a new empirical finding.

Use the brief safely

1. Open the key sourceCheck that the linked report contains the claimed finding and that its date matches the brief. A working link is not enough if it does not support the statement.
2. Keep uncertainty visibleDo not strip away words such as may, scenario or simulation when sharing. Those terms describe what kind of evidence you have.
3. Keep real decisions separateThis resource is for understanding AI’s role in markets. For decisions involving your money, use current regulated disclosures and appropriately qualified advice; do not treat the prompt as a suitability assessment.

Primary sources

FSB: The financial stability implications of artificial intelligence and RBA: Financial stability implications of artificial intelligence provide the risk context. The briefing prompt is a practical reading workflow, not a regulator-approved investment method.