AI stock analysis workspace
Stock briefs with the assumptions left visible.
Prism turns tickers, market context, portfolio math, and model judgment into a structured read: rating, conviction, evidence, risks, and the gaps that should slow a decision down.
Single-name brief
Head-to-head compare
ETF-aware portfolio diagnostics
Company diligence
Theme ranking
Workflow coverage
Analyze a ticker, compare two names, then check the portfolio math.
Prism is organized around the research jobs an investor repeats every week: underwrite a name, compare two setups, inspect holdings, review a company, or rank a theme.
Single-name brief
Build a compact research read with price context, scorecard separation, risk framing, and explicit entry discipline.
Head-to-head decision
Apply one scoring frame across both names so the trade-off stays visible and the preferred setup is easy to defend.
Look-through diagnostics
Compute actual weights, concentration, and sector crowding before any commentary is allowed to shape the conclusion.
Company diligence
Review operating posture, growth signals, and concern stack with a verdict that remains explicit about uncertainty.
Theme ranking
Rank the current setup across a theme, identify the strongest expression, and call out the risks that could break it.
Operating discipline
The research frame keeps facts, judgment, and limits apart.
Each run moves through the same sequence so the final read can be inspected instead of simply accepted.
Start with the research question.
A ticker, pair, holdings list, company, or theme sets the boundaries for the run.
Ticker
Pair
Portfolio
Attach market facts before commentary.
Quotes, timestamps, source coverage, weights, and sector exposure are shown before the generated read.
Quote
Timestamp
Weight
Separate the decision variables.
Rating, conviction, target, evidence, and counterpoints render as distinct fields.
Rating
Risk
Target
Ship the brief with its guardrails.
The final output keeps missing evidence, confidence notes, and change conditions visible.
Guardrail
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Prism workspace
Run Prism against the question on your desk.
Single-name brief
Generate a compact research read.
Live quote context when available.
Enter a public-equity or ETF ticker to retrieve price context, score separation, risk framing, and entry guidance.
Enter a name to generate the brief.
The output separates the call, the evidence, the risks, and the conditions that would justify changing the view.
Head-to-head compare
Run two setups through one frame.
Shared scorecard, one winner.
The name you want to underwrite.
The alternative you want to evaluate against it.
Compare two names with the same scoring frame.
The output keeps the winner, the runner-up case, and the metric gap visible in one decision view.
Portfolio diagnostics
Check concentration before commentary.
Deterministic math before model commentary.
Use TICKER quantity. Separate rows by comma or line break. Example: AAPL 10, MSFT 6, VTI 12.
Paste holdings to compute the actual risk shape.
The read focuses on weights, sector exposure, and concentration before it offers any commentary.
Company diligence
Review the business before the story.
Use a ticker or plain company name.
Best for operating posture, diligence, partner review, or early-stage company research.
Enter a company to generate an operating read.
The output focuses on business posture, positive and negative signals, concern stack, and uncertainty.
Sector pulse
Rank the setup across a theme.
Theme ranking with visible risk notes.
Examples: semiconductors, defense, AI infrastructure, healthcare services.
Enter a theme to rank the current setup.
The result shows the strongest names, the ranking logic, and the risks that would weaken the theme.