---
language:
  - en
license: mit
pretty_name: Market Agent Capacity and Crowding Detection v0.1
dataset_name: market-agent-capacity-and-crowding-detection-v0.1
tags:
  - clarusc64
  - market
  - agents
  - positioning
  - crowding
  - risk
task_categories:
  - tabular-classification
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: test
        path: data/test.csv
---

What this dataset tests  

Whether a system can detect  
when a market agent type is near capacity  
and forced reversal risk rises.

This is constraint pressure.  
Not opinion.

Required outputs  

- crowded agent type  
- capacity utilization score  
- reversal risk score  
- unwind trigger conditions  
- time to capacity event  

Constraints  

Market only.  
Use inferred positioning proxies and flow context.  
Do not predict price direction.

Evaluation focus  

High scores require  
agent type named  
numeric capacity and risk values  
explicit unwind triggers  
time estimate