🔬 Phase 0 Research Prototype

Cognitive Support Research for Traders

Investigating real-time
cognitive intervention.

TradeUpCoach is an experimental system designed to detect cognitive drift during trading sessions and deliver timely interventions — before mistakes happen.

Built on CognitiveOS — our real-time cognition research platform.

What We're Investigating

Our research explores whether real-time cognitive monitoring can improve trading outcomes.

Early drift detection

We are developing algorithms to identify behavioral changes that precede poor trading decisions — potentially before conscious awareness.

Pattern recognition

The system will learn individual behavioral signatures. Each trader's triggers and warning signs are hypothesized to be unique.

Preemptive intervention

We are testing whether well-timed, minimal interventions can redirect behavior before costly mistakes occur.

Plan adherence support

The research aims to determine if cognitive support can help traders execute their existing strategies more consistently.

The Research Problem

Empirical evidence suggests that cognitive-emotional factors, not strategy knowledge, account for the majority of retail trading losses.

Revenge trading patterns

Loss-chasing behavior appears to follow predictable physiological and behavioral markers.

Rule violation under stress

Pre-defined trading rules are frequently abandoned during periods of heightened emotional arousal.

Delayed self-awareness

Research indicates that cognitive drift often precedes conscious recognition by several minutes.

Absence of real-time support

Current tools provide retrospective analysis; no system offers validated real-time intervention.

TradeUpCoach is designed to address this gap — providing real-time cognitive support that may detect drift patterns and intervene before decision quality degrades.

Proposed System Architecture

Our research employs a multi-signal approach to cognitive state estimation.

1

Passive observation

The system will monitor trading sessions unobtrusively, collecting behavioral and contextual data.

2

Drift state classification

Machine learning models will analyze multi-modal signals to estimate cognitive state in real-time.

3

Targeted intervention delivery

When drift probability exceeds threshold, the system will deliver personalized, minimally-disruptive prompts.

4

Outcome measurement

We will measure intervention effectiveness through decision quality metrics and participant feedback.

Explore the Prototype

We have developed an interactive visualization of the proposed intervention system. This prototype demonstrates intended functionality — not validated outcomes.

🔬 Research Prototype — Not a Product

Interface Concept Demonstration

This visualization illustrates how the cognitive support overlay will function during trading sessions. All data shown is simulated.

View the Prototype

The Research Platform

Built on CognitiveOS

CognitiveOS is our experimental cognitive monitoring framework. It is designed to detect cognitive drift — the transition from deliberate reasoning to emotionally-driven decision-making under pressure.

Trading represents our initial research domain. The underlying methodology may generalize to other high-stakes decision environments.

View System Architecture

Participate in Our Research

TradeUpCoach is currently in Phase 0 — foundational research and hypothesis validation. We are recruiting a limited cohort of traders to participate in early-stage testing.

Participation is voluntary. We will contact qualified candidates as research phases progress.