WatchWise is an AI investment research platform for investors who need repeatable stock research workflows, persistent research memory, market monitoring, and decision-ready briefs.

AI Investment Research Agent

WatchWise helps investors research stocks, monitor market catalysts, and turn ideas into structured investment briefs.

Explore AI Financial Research

How it works

Asking is Easy. Getting to a clear answer is hard.

Try AI Financial Research
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Start with your thesis

Research this investment thesis with my framework, watchlist context, and risk rules.
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Start from your investment question, preferred framework, and risk rules so the agent can research with the right context.

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Activate the workflow

/prompt
Use the saved AI financial research framework.
MIRA
Agent reply
Pulled from your research library
I found your saved decision framework and loaded it into this workflow.
Saved workflow
Activated as a working workflow
research agent
Investment Thesis Review
Research the market context, catalysts, risk rules, and decision implications.
Next: review the setup, approve it, and I will use this framework for the answer.
Review Approve Run

The agent turns your request into a financial research workflow that you can review and approve.

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Get structured research output

Review IREN against my thesis.
Structured research brief
May 26 22:02
Market context: IREN is trading above key averages while sector momentum remains supportive.
Catalyst: Capacity updates and earnings timing are the next events to monitor.
Risk: A failed breakout or margin pressure would weaken the thesis.

Receive a structured answer with context, catalysts, risks, and action-ready observations.

Research Memory That Stays With You

WatchWise remembers your research framework, watchlists, and decision rules across sessions.

Do you remember
the research rules we set in April?
April 2026 Research Memory

Here are the research rules saved in April 2026, pulled from memory.

  • April 19 | Strategist Role Definition with market regime judgment, position recommendations, and buy or sell calls.
  • Frameworks built in April including your strategist playbook, data sanity rules, and daily briefing cadence.
  • Output style saved so future answers keep the same analytical structure without repeating setup.
Your Analytical Framework

Saved your framework. Every company analysis will now lead with these three lenses.

  • EV/EBITDA over P/E to strip out capital structure noise.
  • ROIC above WACC stays as the core compounding signal.
  • Capex-heavy names always get an EV/EBIT cross-check.
Do you remember
the entry framework I approved for the last quarter?
Do you remember
the AMD answer you gave me earlier?
AMD Research Rule Check

The prior framework flags stretched entries above trend, catalyst timing, and disciplined scaling before any conclusion.

  • Market context: momentum remains strong, but entry risk is elevated.
  • Your saved rule still applies: do not chase names far above MA50.
  • Decision implication: wait for a pullback or a fresh catalyst before updating the thesis.
Use Saved Research Frameworks

Always-On Market Monitoring

From macro developments to company events, AI financial agents track the signals that matter to your watchlist and research framework.

Manage Monitoring Rules
AI market monitoring reminder in WatchWise
AI market monitoring workflow in WatchWise

Real-Time Financial Research

Decision-Ready Research Briefs.

Let MIRA, your AI financial research agent, organize market context, catalysts, risks, and decision implications into structured briefs.

Explore Financial Research

Conversational Research

what's happening today?
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Mira
16:33
Analysis complete   10 tools
What's Happening Today — March 12, 2026

The Big Picture: What changed, why it matters, and what to watch next

Market context: Oracle (ORCL) is rallying after earnings while broader markets remain under pressure.

Catalyst: Cloud demand and updated guidance changed the near-term setup.

Risk: Market weakness can still compress multiples even when company execution improves.

Decision implication: review valuation, momentum, and follow-through before updating the thesis.

Oracle (ORCL) +9.18%

Auto-Generated Charts

WatchWise auto-generated investment research chart

Sandbox Process

The price analysis agent completed its analysis in 15.97 seconds and surfaced the key price trends behind the move.
4 tools
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Conducting a comprehensive research search to gather relevant financial data and market insights.
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Retrieving relevant documents and financial materials for the prior period between March 5 and March 12, 2026.
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Searching for relevant financial news and updates between March 5 and March 12, 2026 to provide current market context.
✓
The system retrieved the latest market prices and synthesized the result into a transparent answer path.

Build Your AI Research Workflow

Start with AI Financial Research See Pricing

FAQ: AI Investment Research

What is WatchWise?
WatchWise is an AI investment research platform for investors who want repeatable stock research workflows. It helps analyze market context, monitor catalysts, preserve research memory, and turn investment questions into structured briefs that are easier to review and act on.
How does WatchWise help with investment research?
WatchWise helps investors move from a thesis or watchlist question to a clearer research workflow. It can organize market data, company events, saved frameworks, and agent outputs into a structured answer with context, catalysts, risks, and decision implications.
Can WatchWise monitor market catalysts?
Yes. WatchWise can help monitor market catalysts such as earnings, guidance changes, news events, valuation signals, and watchlist updates. The goal is to surface relevant changes for your research process instead of requiring you to manually check every signal.
Does WatchWise replace a financial advisor?
No. WatchWise is a research and workflow tool, not a financial advisor. It helps organize information, highlight risks, and generate research briefs, but investment decisions remain your responsibility and should account for your objectives, risk tolerance, and professional advice when needed.
How is WatchWise different from ChatGPT?
WatchWise is built for investment research workflows rather than one-off general chat. It emphasizes watchlists, saved research frameworks, market monitoring, structured briefs, and repeatable analysis so investors can keep context across sessions and review outputs in a finance-focused workspace.
How is WatchWise different from a stock screener?
A stock screener filters companies by metrics, while WatchWise helps investigate the story behind an idea. It can combine catalysts, market context, saved assumptions, and agent-generated analysis into a research workflow that goes beyond a static list of filtered tickers.
Can investors use WatchWise for repeatable research workflows?
Yes. WatchWise is designed to preserve research memory, reusable frameworks, watchlist context, and preferred output structure. That helps investors repeat a process across different companies or market events instead of rebuilding the same research setup each time.
What kind of investment briefs can WatchWise generate?
WatchWise can generate structured investment briefs that summarize market context, catalysts, risks, valuation considerations, price action, and decision implications. The briefs are meant to support research review, compare ideas, and document the reasoning behind an investment workflow.