| --- |
| 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 |
|
|
