How AI Stock Analysis Works
How TradeMind AI uses two AI models in parallel to analyse stocks — and what the results mean.
Two models, one analysis
When you search a ticker on the Dashboard, TradeMind AI calls two AI models simultaneously:
- Claude Haiku (Anthropic) — fast, precise, trained on financial reasoning
- GPT-5-mini (OpenAI) — a reasoning model that uses internal thinking tokens to work through the problem step by step
Both models receive the same input: live price, RSI, moving averages, fundamentals (P/E, market cap), recent news headlines, and sector context.
What each model returns
Each model independently produces:
- Recommendation — BUY, HOLD, or SELL
- Confidence — Low, Medium, or High
- Reasoning — specific technical and fundamental factors behind the call
- Risk assessment — downside %, stop-loss level, macro risk, stress-test worst case
- Outlook — three time-frame view: [1–7 days] tactical, [1–4 weeks] swing, [1–3 months] structural
The results are displayed in separate panels so you can compare the models directly — where they agree and where they diverge.
The "In Plain English" section
Below the model panels is a plain-language summary of the analysis. This section deliberately uses observational language:
- "Indicators suggest the stock is under accumulation pressure…"
- "Price action points to near-term consolidation…"
- "RSI at 68 indicates momentum is elevated but not yet extreme…"
This language is intentional. The analysis describes what the data shows — it does not tell you what to do. Financial decisions are personal and depend on your own situation, risk tolerance, and goals.
The AI Consensus section
After the individual model panels, an AI Consensus section synthesises both models into a unified conclusion. It highlights where both models agreed, where they differed, and what that divergence might mean for the overall picture.
Why observational language?
AI analysis on TradeMind is general market information, not personal financial advice. "Indicators suggest…" and "price action points to…" accurately reflect what AI models do: they identify patterns and describe probabilities. They do not know your financial situation, investment horizon, tax position, or risk appetite.
The disclaimer on every analysis card is not legal boilerplate — it is a genuine reminder that pattern recognition is not a guarantee, and that the stop loss on any signal exists precisely because no analysis is ever certain.
AI analysis vs. AI trading signals
These are two different features:
- AI analysis — the BUY/HOLD/SELL recommendation panel described in this article. Educational, observational, general.
- AI signal — a locked trade idea with exact entry, stop, and target prices. Generated by clicking "Generate Signal". Immutable after issuance, publicly auditable, included in the track record.
You can use analysis without ever generating a signal. Or you can use both — the analysis gives context and the signal gives a specific, measurable trade plan.
See it in action
Every TradeMind AI signal shows confidence score, entry, stop, target, and R-multiple — all explained with tooltip hints when you hover the term.