WatchWise AI financial research agents help investors build structured research workflows, monitor market catalysts, and review decision-ready briefs.

AI Financial Research Agents

We helps investors run AI financial research with reusable workflows, structured outputs, and agent-driven market analysis.

Explore AI Financial Research

How it works

Asking is Easy.

Getting to a clear answer is hard.

Try AI Financial Research
✦

Start with your thesis

Research this investment thesis with my framework, watchlist context, and risk rules.
↑

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

⌘

Activate the workflow

/workflow
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.

◌

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.

From one-off chat

to persistent financial research memory.

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

Agents run your financial research all day.

You decide the logic, risk, and timing.

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

Manage Monitoring Rules
Mira reminder lockscreen
Industry analyst monitor result

Real-Time Financial Research

Deep Financial Research,

delivered in reviewable 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?
✦
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

MIRA auto-generated bar chart

Sandbox Process

The price analysis agent completed its evaluation in 15.97 seconds and surfaced the key price trends behind the move.
4 tools
↺
Conducting a comprehensive research search to gather relevant financial data and market insights.
⇢
Retrieving relevant documents and financial materials for the prior period between March 5 and March 12, 2026.
⌁
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 financial research workflow.

Start with AI Financial Research View Use Cases

Frequently Asked Questions

What is WatchWise?
WatchWise is an AI financial research platform that uses multiple AI agents to help investors analyze market context, monitor catalysts, and generate structured research outputs.
How does WatchWise AI analyze financial opportunities?
WatchWise combines market data, event monitoring, workflow memory, and AI financial agents to help users research ideas with clearer structure and context.
What makes WatchWise different from other analysis tools?
WatchWise is built around AI financial research workflows and agent-based monitoring, rather than one-off prompts or static dashboards.
How do I get started with WatchWise?
Start with a research question, choose a workflow, and let the agent organize the relevant market context for review.