Datasets:

ClarusC64
/

market-agent-capacity-and-crowding-detection-v0.1

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