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id
int64
1
200
episode
int64
1
79
latency_dispersion
float64
0.05
2.48
order_imbalance
float64
0.02
1
liquidity_depth_inverse
float64
0.13
0.96
cancel_replace_ratio
float64
0.05
4.82
volatility_spike
float64
0.16
0.75
recovery_time_ms
float64
164
853
circuit_breaker_buffer
float64
0.13
0.92
flash_fragility_index
float64
0.28
0.65
1
59
0.364653
0.238534
0.943097
0.876355
0.557439
278.414305
0.522782
0.414265
2
29
0.390273
0.702025
0.700424
1.198923
0.602845
612.559601
0.706112
0.514057
3
13
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flash fragility Economics Dataset

Dataset Description

Summary

Synthetic 200-row dataset for flash fragility measurement and computational experiments.

Supported Tasks

  • Economic analysis
  • Financial Economics research
  • Computational economics

Languages

  • English (metadata and documentation)
  • Python (code examples)

Dataset Structure

Data Fields

  • id: Unique event id
  • episode: Synthetic microstructure episode
  • latency_dispersion: Dispersion in execution latency
  • order_imbalance: Signed order-flow imbalance
  • liquidity_depth_inverse: Inverse order book depth at top levels
  • cancel_replace_ratio: Cancel-to-replace order ratio
  • volatility_spike: Instantaneous volatility shock
  • recovery_time_ms: Time required for spread normalization
  • circuit_breaker_buffer: Remaining micro-circuit breaker headroom
  • flash_fragility_index: Composite term index

Data Splits

  • Full dataset: 200 examples

Dataset Creation

Source Data

Synthetic data generated for demonstrating flash fragility applications.

Data Generation

Channels are sampled from controlled distributions with correlated structure. The term index is computed from normalized channels and directional weights.

Considerations

Social Impact

Research-only synthetic data for method development and reproducibility testing.

Additional Information

Licensing

MIT License - free for academic and commercial use.

Citation

@dataset{flash-fragility2026, title={{flash fragility Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }

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