Validated cross-exchange market data

Quickly test demand for real market-data workflows.

Request historical slices, replay-ready packages, and exchange-specific sample datasets with explicit completeness, timing provenance, order-book validation, and transparent confidence states.

Historical Replay Order book Manifests Pilot Live on request

These landing pages are designed to surface concrete demand by exchange, symbols, channels, and time range - not to hide uncertainty behind generic API language.

Timing model in progress
  • orderTimeexchange-side event time
  • receiveTimeclient-side packet receive time
  • crossConnectExchangeNameReceiveTimecross-connect timing layer

Replace older placeholder wording with a clearer field name, then keep the status visible instead of overclaiming.

Landing-page principle

Do not sell “another crypto data API.” Open with trust, correctness, replay fidelity, and faster qualification of real exchange-level demand.

Core promise

Most products sell access. These pages should test trust.

Use exchange-specific landing pages to learn where demand is strongest, which workflows are painful enough to buy, and what kind of sample proves the category story fastest.

Explicit completeness

Datasets are scoped by exchange, symbols, channels, and time range - with visible coverage, gap markers, and manifest-level truth.

Timing provenance

Keep exchange time, receive time, and normalized time distinct so timing-sensitive workflows are grounded in observable provenance.

Validated book states

Book reconstruction is treated as a product surface, not a hidden internal calculation. Confidence and degradation states stay visible.

Deterministic replay

Use the same historical slice for simulation, QA, post-trade analysis, and research without losing the event structure that matters.

First wave

Exchange-specific pages for the first demand test.

Each page uses the same structure, but the copy makes the request feel concrete instead of generic.

Exchange page

Binance

Validated Binance market data for teams that need more than feed access.

Often requested for high-volume market research, cross-venue comparison, and simulator / book-reconstruction workflows.

Open Binance page

Exchange page

Coinbase

Validated Coinbase market data for institutional trading and research workflows.

Often requested for institutional routing analysis, research datasets, and replayable market context around execution.

Open Coinbase page

Exchange page

Kraken

Validated Kraken market data for research, trading infrastructure, and venue comparison.

Often requested for integrity-sensitive research, venue-quality monitoring, and multi-venue historical comparison.

Open Kraken page

Exchange page

OKX

Validated OKX market data for cross-venue research and production workflows.

Often requested for multi-venue strategy research, market-data QA, and replayable exchange-specific historical slices.

Open OKX page

Exchange page

Deribit

Validated Deribit market data for derivatives-heavy workflows and replayable research.

Often requested for derivatives workflows, simulator inputs, and deeper market-context analysis where replay fidelity matters.

Open Deribit page

Exchange page

Bybit

Validated Bybit market data for trading, research, and internal market-data QA.

Often requested for cross-venue comparison, internal validation, and research workflows that need more than a generic export.

Open Bybit page

Exchange page

Crypto.com

Validated Crypto.com market data for teams expanding venue coverage without adding data debt.

Often requested when teams need additional venue coverage, reproducible history, or a cleaner way to test demand before building new connectors.

Open Crypto.com page

Historical data framework

Width, depth, correctness.

That three-part frame still explains demand clearly: buyers want the right scope, useful depth, and confidence that the data is not silently wrong.

Width

  • Symbols and channels
  • Venue coverage
  • Sample datasets on request
  • Historical plus live-scope discussion

Depth

  • History window
  • Trades and books
  • Replay-ready delivery
  • Raw and curated layers

Correctness

  • Gaps and recoveries
  • Timestamp provenance
  • Validation signals
  • Manifests and confidence states

Python example

Put one concrete request shape on the page.

Keep the example lightweight, link to the docs, and make it easy to copy into an internal note or discovery email.

See full docs at https://docs.marketdata.trade/api/python

Example request
# see full docs at https://docs.marketdata.trade/api/python

# pip install marketdata.trade

import asyncio
from marketdata.trade import MarketDataClient, Stream

marketdata_client = MarketDataClient(api_key="<YOUR_API_KEY>")

async def replay():
    events = marketdata_client.replay(
        exchange="binance",
        from_date="2024-02-29",
        to_date="2024-03-30",
        filters=[Stream(name="book", symbols=["BTC-USDT"])]
    )

    async for receive_binance_timestamp, message in events:
        print(message)


asyncio.run(replay())

General request

Tell us which exchange page should get the next conversation.

The goal is simple: collect the most concrete data request possible and route it to the right exchange page or follow-up conversation.

Open Python docs

This static prototype opens a prepared email to the configured inbox. Replace the email or connect a form endpoint before production launch.