Institutional Financial & Geospatial Intelligence Warehouse
Engineered for quantitative hedge funds, algorithmic crypto desks, risk managers, and econometric researchers. Access high-frequency 1-minute order flow, cumulative volume delta, 25-year macro regimes, and urban spatial graphs.
Four Pillars of Institutional Intelligence
Continuous pipeline ingestion, cleaned and cross-verified for systematic quantitative pipelines.
High-Frequency Crypto Microstructure & CVD
Granular 1-minute order book dynamics, buyer/seller aggressive volume split, Cumulative Volume Delta (CVD), and liquidity tick flows across Top 25 crypto assets (BTC, ETH, SOL, BNB, AVAX, ADA, etc.) from 2019 through 2026.
Global Macro, Yield Curves & Climate Regimes
Multi-decade sovereign fixed income data including the complete 2000–2024 US Treasury Yield Curve (1M to 30Y), Fed net liquidity matrices, G10 FX cross-asset benchmarks, and the 147-year NOAA global climate extreme risk index (1880–2026).
SEC EDGAR US Public Equities Financials
Comprehensive balance sheet, income statement, and cash flow statement master extracted directly from SEC EDGAR XBRL filings across 17+ years (2009–2026). Normalized for point-in-time quantitative equity factor modeling.
Geospatial & Transit Infrastructure
Overture Maps worldwide 3D building footprints with structural heights, global road networks and transit graphs, alongside commercial POI directories (EV charging hubs, hotels, medical facilities) across major US metro economies.
Institutional Quality & Compliance Specifications
Enterprise data delivery standards, cryptographic guarantees, and integration specifications.
| Standard / Guarantee | Institutional Specification | Delivery Mechanism | SLA Compliance |
|---|---|---|---|
| Cryptographic Data Integrity | SHA-256 Checksum on every package | Pre-computed manifest on edge | 100% Guaranteed |
| Zero-Copy Retrieval | Apache Parquet + DuckDB Zero-Copy | Polars / Arrow / DuckDB | 10x Speedup vs CSV |
| Edge REST API Gateway | Sub-50ms indexed SQLite & DuckDB queries | HTTPS REST API + Swagger Docs | 99.99% Uptime SLA |
| Real-Time Streaming | Server-Sent Events (SSE) micro-tick feed | Stream endpoint (/api/v1/stream) | Low-Latency Push |
| Automated Fulfillment | 24-hour signed cryptographic download tokens | Immediate post-purchase dispatch | Instant Delivery |
Direct Integration in Minutes
Query billions of rows without loading entire datasets into memory. Data Factory packages leverage columnar Apache Parquet format to provide sub-second predicate pushdown and vectorized scans in Python, R, DuckDB, and C++.
import polars as pl
import duckdb
# 1. Zero-copy query directly on signed Parquet archive
con = duckdb.connect()
df = con.execute("""
SELECT timestamp, symbol, close, volume_delta,
SUM(volume_delta) OVER (PARTITION BY symbol ORDER BY timestamp) AS cvd
FROM 'btcusdt_1minute_high_frequency.parquet'
WHERE volume_delta > 500000
ORDER BY timestamp DESC
LIMIT 10
""").pl()
print(df)
# Output: Instant vectorized analytical order flow matrixGenerate Instant 7-Day Research API Key
Evaluate our live Edge REST API and real-time SSE stream. Includes 1,000 requests/day across all 53 suites. No credit card required.
X-API-Key: <YOUR_KEY>
Ready for Production Quantitative Integration?
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