Real-Time Crypto Market Data
at Wire Speed

Aggregate trade data from 10+ exchanges with sub-200ms latency. 492 data sources, thousands of trades per second, delivered via gRPC streaming.

~2,100 trades/sec
0
Exchanges
0
Markets
0
Data Sources
0
Avg Trades/sec
0
Peak Trades/sec

Built for Teams That Move Markets

From solo quant researchers to institutional trading desks — our infrastructure powers the strategies behind the trades.

📊

Quantitative Traders

Build and backtest strategies on normalized, real-time trade data from 10+ exchanges. Sub-200ms latency means your signals fire before the competition.

🤖

Algo Trading Firms

Institutional-grade infrastructure without the institutional price tag. gRPC streaming, server-side filtering, and 99.991% trace quality for production trading systems.

🔬

Market Researchers

29B+ historical trades across 2+ years of market history. Cleaned, deduplicated, and normalized — ready for analysis without months of data engineering.

🧠

ML Engineers

Direct BigQuery access to 29B+ historical trades. Query with standard SQL, feed into TensorFlow, pandas, or Vertex AI — no proprietary pipelines. You pay GCP directly for compute; we charge a flat maintenance fee.

Blazing Fast. Battle Tested.

End-to-end latency from exchange to your strategy — measured, not estimated.

Click a pipeline step to see what happens at each stage

P95 Latency
0 ms
95th Percentile End-to-End
P99 Latency
0 ms
99th Percentile End-to-End
Trace Quality Rate
0%
(only 0.008639% discarded)

Infrastructure You Can Trust

Purpose-built from the ground up for financial-grade data delivery.

gRPC Streaming

Server-side streaming via Connect RPC delivers trades with minimal overhead. Binary Protocol Buffers keep payloads small and parsing instant.

Precision-First Math

Zero floating-point operations on financial data. Prices and quantities use string serialization backed by arbitrary-precision integer arithmetic.

Smart Filtering

Subscribe only to what you need. Server-side pair and source filtering reduces bandwidth by up to 95% compared to unfiltered firehose feeds.

Auto-Recovery

State machine lifecycle management with infinite retry and automatic reconnection. Exchange disconnections are handled transparently — your stream stays alive.

Complete Market Picture

Every trade, every exchange, zero gaps. Deduplication and sequencing ensure you never miss a fill or process a duplicate — giving you the full, accurate view.

99.99% Uptime SLA

Redundant ingestion across all exchanges with automatic failover. If an exchange drops, your stream continues from the remaining sources — uninterrupted.

Train on History. Trade the Future.

Comprehensive historical market data, cleaned and normalized for quantitative research and machine learning pipelines.

Historical Trades

Normalized and deduplicated

Training Data

Ready for ML pipelines

Market History

Across all exchanges

Direct BigQuery Access

Query all historical trade data with standard SQL — directly in your own GCP project. No proprietary tools, no data exports, no waiting.

Standard SQL

Query 29B+ trades with the SQL you already know

ML-Ready

Works with pandas, TensorFlow, Vertex AI, Jupyter, dbt

Your GCP, Your Billing

IAM access to dataset — BQ compute billed directly by GCP

Flat Maintenance Fee

Simple, predictable access cost — no per-query charges from us

Perfect for backtesting strategies, training models, and market research

Connected to the World's Top Exchanges

Real-time WebSocket connections to 10 major exchanges, aggregating 142 market pairs into a single normalized stream.

B

Binance

24 pairs

Live
B

Bitfinex

12 pairs

Live
B

Bitstamp

8 pairs

Live
B

Bybit

18 pairs

Live
C

Coinbase

16 pairs

Live
G

Gemini

9 pairs

Live
H

Huobi

15 pairs

Live
K

Kraken

14 pairs

Live
K

KuCoin

16 pairs

Live
O

OKX

10 pairs

Live

Don't see your exchange? Request an exchange — we actively add new integrations based on client demand.

Connect in Minutes

Three lines to your first trade. SDKs for every major language, built on gRPC for maximum performance.

package main

import (
    "context"
    "log"
    "net/http"

    "connectrpc.com/connect"
    streamv1 "arcfeed/gen/stream/v1"
    "arcfeed/gen/stream/v1/streamconnect"
)

func main() {
    client := streamconnect.NewStreamServiceClient(
        http.DefaultClient,
        "https://stream.arcfeed.finance",
    )

    req := connect.NewRequest(&streamv1.StreamDataRequest{
        Filter: []*streamv1.Filter{
            {Pair: "BTC-USDT", Source: "binance"},
            {Pair: "ETH-USDT", Source: "coinbase"},
        },
    })
    req.Header().Set("Authorization", "your-api-token")

    stream, err := client.StreamData(
        context.Background(), req,
    )
    if err != nil {
        log.Fatal(err)
    }

    for stream.Receive() {
        msg := stream.Msg()
        log.Printf("%s %s: %s @ %s",
            msg.Source, msg.Pair,
            msg.Trade.Price, msg.Trade.Quantity,
        )
    }
}

Full API reference and SDK documentation available at docs.arcfeed.finance

Up and Running in Minutes

Three steps from zero to real-time market data. No complex setup, no infrastructure to manage.

01

Connect

Integrate with our gRPC streaming API using your preferred language. SDKs available for Go, Python, and TypeScript.

client := streamv1.NewStreamServiceClient(
    "https://stream.arcfeed.finance",
)
02

Subscribe

Choose your exchanges, markets, and data granularity. Server-side filtering means you only receive what you need.

stream, _ := client.StreamData(ctx,
    connect.NewRequest(&StreamDataRequest{
        Pairs:   []string{"BTC-USDT"},
        Sources: []string{"binance"},
    }),
)
03

Stream

Receive normalized, real-time trade data with sub-200ms latency. Build strategies, analytics, and dashboards.

for stream.Receive() {
    trade := stream.Msg()
    // price, quantity, source, pair, ts
}

What You Get with Arcfeed

Everything you need to power real-time trading systems, analytics platforms, and quantitative research.

Real-Time Streaming

Ultra-low-latency trade data delivered the moment it happens

  • Sub-200ms end-to-end latency
  • gRPC streaming protocol
  • Thousands of trades per second
  • Persistent connections with auto-reconnect
  • Binary-efficient Protobuf encoding

Exchange Coverage

Broad market coverage across major crypto exchanges

  • 10+ exchanges supported
  • 492 data sources
  • Normalized trade format
  • Spot markets
  • Continuous connector expansion

Historical Data & BigQuery

Deep historical trade data with direct BigQuery access for ML workloads

  • 29B+ historical trades available
  • 2+ years of data depth
  • Tick-level granularity
  • Direct BigQuery access via IAM
  • Standard SQL — works with pandas, TF, Vertex AI
  • BQ compute billed by GCP, flat maintenance fee from us

Enterprise-Ready

Built for reliability at institutional scale

  • 99.9%+ uptime
  • Multi-region infrastructure
  • Dedicated support
  • Custom SLA options
  • On-premise deployment available

Interested in integrating Arcfeed into your stack? Let's talk.

Contact Us

Frequently Asked Questions

Everything you need to know about Arcfeed's market data infrastructure.

We currently support 10 major exchanges: Binance, Bitfinex, Bitstamp, Bybit, Coinbase, Gemini, Huobi, Kraken, KuCoin, and OKX. We actively accept requests to add new exchanges — if there's an exchange you need, let us know and we'll prioritize it.

Our real-time stream delivers trade data with sub-200ms end-to-end latency (P95). Data flows from exchange WebSocket to your application through our optimized pipeline: Exchange → Ingest → Normalize → Filter → Deliver. We discard trades older than 1 second to ensure data freshness.

All data is delivered via gRPC streaming using Protocol Buffers for maximum efficiency. Each trade includes source exchange, market pair, price, quantity, and nanosecond-precision timestamps. Prices and quantities are transmitted as strings to preserve full decimal precision — we never use floating-point for financial data.

Yes. We maintain 29B+ historical trades spanning 2+ years across all supported exchanges. That's 5.27TB of cleaned, normalized, and deduplicated data ready for backtesting, model training, and market research. For ML workloads, we also offer direct BigQuery access — query the full dataset with standard SQL in your own GCP project.

We use JWT-based authentication. Once onboarded, you'll receive API credentials that you include in your gRPC connection metadata. Tokens are managed securely and can be rotated at any time. Contact us to get started.

Our infrastructure runs on Google Cloud with multi-region deployment for maximum reliability. We offer 99.9%+ uptime with custom SLA options available — contact us to discuss your specific reliability requirements.

Absolutely. Server-side filtering lets you subscribe to specific exchange sources and market pairs. You only receive the data you need, reducing bandwidth and processing overhead on your end.

We provide SDKs for Go, Python, and TypeScript. Since our API uses gRPC/Connect, you can generate client code for any language that supports Protocol Buffers, including Java, C++, Rust, and more.

Ready to Build the Future of Trading?

Interested in streaming real-time market data with Arcfeed? Get in touch — we'd love to hear about your use case.

✓ 99.991% data quality✓ Sub-200ms latency✓ 10+ exchanges