A · Editorial Light
I. The product

Where whales do their research

Play in the next league.

AI-native research workbench for traders.

FinWhale Chat surface — AI agent answering a research question
FinWhale Data Lens surface — filter the market like a table
FinWhale Charts surface — historical research at chart speed
I. Chat
II. The shift

Today the platform. Tomorrow your custom tools.

A prop desk is infrastructure plus a room of traders. Capital, data, charts, execution venues — each trader running their own book on rented tools. The edge is personal: the setups you wait for, the names you watch, the way you size, the patterns you trust. It lives in chart annotations, a watchlist, and your head — invisible to the next analyst, lost when a trader leaves.

Today the workbench gives your traders three research surfaces and one memory layer — Chat for plain-English research, Data Lens to filter the market like a table, Charts for historical research at chart speed. Tomorrow the partnership extends that memory into custom software: agent skills that run your workflows end-to-end, Data Lens views tailored to your setups, chart indicators fitted to your patterns, bespoke watchers. You still call the trade — sizing, risk, the entry. The tools just stopped being passive.

Read the manifesto
III. Two paths
i. SaaS — FinWhale Platform

Trader's research workbench

Three research surfaces, one memory layer. The platform your desk runs on every day. Admin-provisioned seats; no self-serve checkout yet.

  • Chat — plain-English research, code-backed answers
  • Data Lens — filter the market with corporate events and quant screens
  • Charts — historical research at chart speed
  • Memory across conversations — knowledge accumulates
Request access
ii. Partnership — Custom AI

Codify your desk's edge

Custom extensions to the workbench, built on your strategy. The system extends memory into custom software — delivered today by the partnership; the vision is overnight.

  • Agent skills — research workflows the agent runs end-to-end on your strategy
  • Data Lens views — custom filters built around the names and events you watch
  • Chart indicators — signals fitted to the setups you trade
  • Bespoke watchers — alerts that fire when your patterns show up
Book a discovery call
IV. The platform in 90 seconds

Three surfaces. One memory layer.

FinWhale Chat surface
Chat

Plain-English research. Code-backed answers.

Ask the question; the agent pulls the data, writes the code, runs correlation studies, price-action analysis, backtests. Hours of analyst work compressed into minutes. Built for alpha generation, not chitchat.

FinWhale Data Lens surface
Data Lens

Filter the market like a table.

Corporate-event filters — splits, earnings, dividends, IPOs. Quantitative filters — price, volume, volatility, flags. Per-ticker rules. Find the candidates without writing SQL.

FinWhale Charts surface
Charts

Historical research, at chart speed.

Double-click navigation to any setup in history. Cross-ticker comparison on the same day, no backscrolling. Annotate, measure, lock a date — context recalls next session. Charts for research, not just price.

Memory layer

Memory today. Custom tooling tomorrow.

Today

The agent has memory across conversations. It remembers your research — correlation studies, sector analysis, the market events you've parsed through the lens of your strategy — so you don't repeat the same work. Knowledge accumulates, session by session.

Tomorrow  ·  with the partnership

The system extends memory into custom software — a Data Lens view tailored to your strategy, a chart indicator for your setups, a bespoke watcher for the patterns you trade. Delivered by the partnership today; the vision is for the system to ship it overnight.

Data stays in your environment No cross-desk training Ownership stays with you
V. Talk to the founder

Founder-led, by application.

The partnership is bounded. We take 2-3 design-partner desks per quarter to keep delivery deep and founder-led.

Replies from the founder · Typical response, 24h