Market & Financial Data
Low-latency data pipelines that don't blink.
Power quant models, alt-data products, and trading research with geo-distributed collection at scale. DC + residential blends for the right speed/trust trade-off.
- Sub-second rotation
- Thousands of concurrent sessions
- DC + residential blends
Sub-100ms datacenter routes are critical for time-sensitive alt-data signals.
Explore DatacenterWhy teams choose Rainproxy for market & financial data.
Alpha is a function of how fast you observe and how cleanly you ingest. Rainproxy underpins alt-data products and quant research pipelines that scrape earnings transcripts, SEC filings, job postings, freight rates and satellite imagery in real time — at sub-400ms median latency, with thousands of concurrent sessions.
Datacenter blends are the right tool for time-sensitive signals; residential fills the gap on targets that fingerprint every request.
Built for serious market & financial data workloads.
Sub-400ms median latency
12 datacenter regions tuned for low-latency collection of time-sensitive signals.
Quant-stack native
Stream straight into Kafka, Kinesis, or proprietary feed handlers without an intermediate hop.
Compliance-aware
We help you stay on the right side of robots.txt and ToS so your fund's research holds up to diligence.
From zero to production in three steps.
Define your signal
Earnings transcripts, job postings, satellite imagery, public filings — anything you can scrape.
Geo-distribute collection
Spread the load across 12 datacenter regions to dodge regional rate limits.
Ship to your quant stack
Direct integration with Kafka, Kinesis, and proprietary feed handlers.
Drop-in for the tools you already use.
Frequently asked questions.
Is web-scraped data legally usable in a quant pipeline?+
Public data scraped in accordance with ToS and robots.txt is generally usable, but the safest path is to work with counsel. We provide audit logs and politeness defaults to support that diligence.
What latency can I expect?+
Median ~400ms globally for residential and under 100ms for datacenter to major financial data targets.