Sharper market structure, built for decisions.
Deep Research is a Markets Gone Wild product that turns ticker-level market data into structured, decision-ready reports. Each run moves beyond a simple chart read into market context, scenario review, stress testing, and a final thesis delivered as HTML and PDF.
From raw price action to a finished thesis.
Chart Context
Trend, momentum, structure, key levels, volatility, and pressure points are organized into a readable market frame.
Scenario Review
Bull, bear, base, and conditional paths are mapped so the report does not collapse into one lazy market take.
Final Thesis
The output closes with a clean written conclusion, practical takeaways, and deliverables built for review.
A sharper research workflow under the hood.
1. Input
Ticker, timeframe, report depth, and optional focus question.
2. Research Pass
Technical analysis, context gathering, and evidence organization.
3. Pressure Test
Scenarios, stress testing, assumptions, and invalidation points.
4. Final Output
Decision-ready report in HTML and PDF.
Built for more than surface-level commentary.
Technical Stack
Trend, EMA/SMA structure, momentum, support/resistance, volatility, and broader chart behavior.
Market Context
Relevant backdrop, related assets, recent pressure, and setup framing where available.
Scenario Review
Upside, downside, base case, and conditional path mapping.
Stress Test
Where the thesis weakens, breaks, or holds under pressure.
Final Thesis
Clear synthesis, key takeaways, and a conviction-aware conclusion.
HTML + PDF
Delivered in clean export-ready formats for review, sharing, and archiving.
Built for traders who want structure, not noise.
Fast Review
For quick setup validation and directional sanity checks.
Balanced Research
For traders who want more context, scenario depth, and review pressure.
Deep Thesis
For higher-conviction decisions that need more stress testing.
Not just another market summary.
A thesis should survive more than one clean chart.
Deep Research pushes a setup through bull, bear, base, and conditional paths. It calls out assumptions, risk/reward asymmetry, invalidation points, and the stress conditions that could change the read.
Clean outputs built for review, sharing, and action.
The point is not to drown you in raw data. The point is to package the research into something readable, exportable, and repeatable — so every ticker gets judged through a consistent structure.
See the output. Then choose your depth.
Explore sample reports, compare pricing tiers, and choose the level of research that fits your process.
Deep Research provides market research and informational analysis. It is not financial advice.