R-Big Data
Master every point with Big Data.
Raydar BigData enables you to make strategic decisions by analyzing both market and user data.
Turn market chaos into clear insights.
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Who is R-Big Data for?
Discover the use cases to understand the power of R-Big Data.
Anonymized, Research-Grade Datasets
Digest billions of points across venues to surface trends, liquidity flows and investor behavior. Data is aggregated and anonymized; optimized for high-velocity access, not raw infra exposure.
- Venue/pair benchmarks: Compare spreads, depth resilience and volatility regimes across time.
- Signal discovery: Correlations, anomalies and clustering to detect structural changes early.
- Research extracts: Scheduled CSV/Parquet outputs for analysts and BI pipelines.
From raw noise to narratives.
Who Uses It
Market intelligence teams • Quant researchers • Exchanges & MM programs
Why It Helps
- Prebuilt metrics accelerate analysis and executive reporting.
- Clear lineage/governance improves trust and compliance posture.
- High-speed access layer supports large time-series scans without vendor lock.
Exchanges & Market-Maker Programs
Objective benchmarking to tune fees and incentives with before/after evidence.
- Depth/volatility profiles quantify resiliency and quote stability during stress.
- Slippage & impact metrics reveal execution quality by pair and session.
- Time-bucketed rollups yield comparable, presentation-ready charts.
Shared facts, better programs.
Scenarios
MM scorecards • Liquidity SLAs • Listing reviews
Benefits
- Reduce disputes via transparent, repeatable methodology.
- Align partners using common, independently derived metrics.
- Track program ROI with defensible KPIs.
Quant Research & Backtests
Clean, normalized market history for factor studies and policy checks across venues and time.
- High-quality time series with consistent timestamps and survivorship rules.
- Deterministic exports support notebooks and CI for reproducible results.
- Rich metadata (venue attributes, liquidity tags) for robust joins.
Confidence in the baseline.
Use Cases
Alpha research • Execution policy tests • Venue rotation
Why It Matters
- Spend more time on models; less on ETL and cleaning.
- Explainable inputs for committees and audits.
- Faster iteration cycles for research teams.
Frequently asked questions
We haveput together some commonly asked questions
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