Product
Why does this headline matter? Does the reasoning behind a position still hold?AlphaSignal puts those questions back into the full research and trading workflow.
An AI workspace for US equity research and trading.
Market news, strategy reasoning, orders and positions do not have to live apart. AlphaSignal connects them, so you can follow how markets change, review the basis for each decision, and look back at how it played out.
Identify the event and the names it touches, then read its possible impact against market information, so research rests on something concrete.
Short-term and long-term views need not agree. Each strategy is analyzed separately, keeping its own reasoning and course of action.
Weigh current holdings, pending orders and market risk to offer review notes that state the reasoning, the uncertainty and what would invalidate it.
Track order status, position changes and P&L, so the reasoning at the time sits next to what actually happened.
The position agent provides analysis and recommendations; trade execution is governed by separate permissions and rules. Recommendations, order status and actual fills are recorded separately.
AlphaSignal is a research and trading workflow tool. AI analysis can be wrong and is not a promise of returns.
What we explore
As the cost of intelligence falls, which products, services and forms of organization—once out of reach because of cost, time or capability—become possible for the first time? This is where our exploration begins.
From ongoing, personalized help to new ways of transacting and collaborating, we look for needs that have always existed but are only now becoming possible to meet.
Can a few people working with AI take on work that once required a much larger team? Starting with our own studio, we explore how human judgment and AI execution can build a new kind of organizational capability.
How we work
As execution becomes easier, choosing worthwhile problems, identifying the evidence that matters and deciding where to commit our effort become the abilities we value most.
We write down why we chose an approach and show concrete examples of good work. Others can build on those examples or challenge them.
We record why we made a choice, then test it against reality. Lessons that hold up become part of how we work; assumptions that fail are revised.
Contact
Have a problem worth exploring, an idea for a product, or a potential collaboration? We would like to hear about it.
Tell us what you are working on, what is getting in the way, and how you would like to collaborate.
hello@morrowcat.comWe are looking for partners who want to explore what AI can do over the long term. Bring your experience and curiosity, and let’s find problems worth solving and turn ideas into useful products.