Artificial Intuition for Forecasting the Future: 50 Pre-Registered Financial Forecasts

Riccardo Boscariol's dataset bundle accompanies the 2026 paper 'Artificial Intuition for Forecasting the Future'. It includes a master per-session spreadsheet with 50 rows and an aggregated trial-level dataset of 19,997 trials. The bundle provides column definitions mapped to the paper and was last updated on 2026-05-24.

Use Cases

• Analyzing forecasting accuracy based on per-session metrics.
• Studying decision-making patterns across 19,997 individual trials.
• Conducting confirmatory or exploratory analyses of pre-registered financial predictions.
• Replicating or extending the findings of the associated 2026 research paper.

Strengths

• Includes 19,997 individual trial-level data points for granular analysis.
• Provides a README mapping columns to definitions in the associated paper.
• Dataset is pre-registered with an OSF record, enhancing research transparency.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count for the master spreadsheet is known (50), but the total number of rows across all files is unknown.
• Column-level documentation is absent from the input; field semantics must be inferred from the paper after download.
• Data may reflect the specific temporal and methodological bias inherent to the original study's 50 sessions.

Provenance

Source

Riccardo Boscariol

Collection Method

Companion data for a pre-registered research study involving financial forecasting sessions.

Freshness

Last updated 2026-05-24 08:03:19.