← The collectionAI & systems / 2026

Market Research System

Prototype

Make the decision traceable.

A prediction-market research system that connects market data, simulated execution, and a persistent decision record.

Self-initiated research software
AI & systemsMarket Research System

Prototype

The project

Built a data-to-simulation pipeline with order-book-aware fills, a decision ledger, and outcome analysis.

Our contribution

  • Data engineering
  • Simulation
  • Systems design
  • Dashboard development

Context

Self-initiated research software

Prototype / 2026

A TRACEABLE RESEARCH PROCESS

  1. 01Read market data
  2. 02Evaluate a signal
  3. 03Simulate the fill
  4. 04Record the decision
  5. 05Review the outcome

Workflow illustration

01

Inside the system

A research instrument for a hypothesis.

The project asks how a trading idea can be examined before committing real money. It connects public market information to signals, position-sizing rules, simulated fills, and a ledger.

The output preserves the path from an input to a decision, making each assumption available for review.

02

Inside the system

Model the friction.

The simulation considers available order-book depth, partial fills, fees, and the difference between an observed price and an executable price. A separate resolution process connects earlier decisions to later outcomes.

The dashboard brings those records together so a strategy can be investigated rather than judged from an isolated win.

Project notes & credits

Research-system direction and development: Everest Egenhofer, with AI assistance.

Paper-trading research prototype using simulated execution; strategies remain hypotheses.

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