DATASET
Dataset
Validated market snapshots with coverage details, scale metrics, and behavioral summaries.
Archive Scale & Freshness
to 2026-02-13
Preview sample: 100-entry rotating snapshot from latest archive (updated daily)
Dataset Disclaimers
- This dataset is descriptive only. It documents observed patterns in market snapshots and social sentiment, but makes no claims about predictive value.
- No correlation between sentiment and forward returns is implied or claimed. Aggregations may change as methodology evolves.
- Data is not real-time. Snapshots reflect monitoring windows from the past, provided for transparency and research purposes.
- All metrics are derived from algorithmic processing. Human interpretation or trading decisions based on this data carry inherent risks.
Dataset Sample
Browse recent archived entries and inspect the full field structure of each tier.
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Interpretation Note
As is common in cryptocurrency-related social media discourse, sentiment language is heavily skewed positive. Our dataset preserves this property rather than normalizing it. The sentiment mean reflects narrative tone, while post volume, balance, and silence capture structural changes in discourse.
What We Do Not Claim
- No live signals: This dataset is for research and analysis, not real-time trading
- No guaranteed correlation: Patterns shown are descriptive, not predictive
- No post-hoc filtering: Data passes automated gates only, no cherry-picking
- No execution advice: This is not financial advice or investment guidance
About the Dataset
A record is a single validated snapshot—frozen at admission and required to pass dataset health gates (700+ spot samples minimum). Each snapshot captures a moment in time, combining market microstructure, high-resolution price samples, and aggregated social sentiment windows.
See Access for subscription tiers and pricing.
Dataset Structure
Schema documentation, field definitions, and format specifications are available on GitHub. The repository includes versioned schemas, sample data, and a Python quickstart guide.
Access & Licensing
Public releases will include comprehensive documentation and a Python quickstart for reading and exploring the data. Access terms and licensing details will be finalized and published alongside the first release.
Cite This Dataset
If you use this dataset in research, analysis, or derivative work, please cite it using one of the formats below.
BibTeX
@dataset{instrumetriq_2026,
author = {Instrumetriq},
title = {Crypto Market Activity & Sentiment Context Dataset},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.18508636},
url = {https://doi.org/10.5281/zenodo.18508636}
}APA
Instrumetriq. (2026). Crypto Market Activity & Sentiment Context Dataset (Weekly Samples) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18508636