Product updates. Industry insights. Company news.

July 16, 2026
Binance order types and execution differ across Spot and Futures — post-only, iceberg, time-in-force, STP and rejection codes compared for platform teams

July 10, 2026
FIX SecurityList 35=y delivers instrument reference data answering SecurityListRequest 35=x. Crypto venues fill Symbol 55 and SecurityExchange 207 differently.

July 2, 2026
Which crypto exchanges support FIX API in 2026, with FIX versions and session types compared across Binance, Coinbase, Kraken, Gemini and Deribit.

June 29, 2026
Build vs buy crypto trading infrastructure — the real cost is maintaining 30+ exchange integrations forever, not the first build. When each path wins.

June 24, 2026
FIX vs REST vs WebSocket for crypto trading — REST for setup, WebSocket for data, FIX for the order path. A source-checked decision guide for trading desks.

June 22, 2026
A crypto FIX API trades over the FIX 4.4 protocol instead of REST or WebSocket. Coinbase, Kraken, Gemini and Binance offer native FIX; many venues do not.

June 16, 2026
Tick size, lot size, and min notional across Binance, Coinbase, and Kraken — the field names, endpoints, and why multi-venue systems must normalize them.

June 12, 2026
Crypto symbology has no central standard — the same market is BTCUSDT, BTC-USD or XBTUSD across exchanges. Why it happens, and how normalization fixes it.

November 26, 2025
This article explores how OMS and EMS systems support institutional crypto trading by managing liquidity fragmentation, enforcing risk controls, and improving execution across multiple venues.

October 28, 2025
Rebalancing at scale is the coordination of portfolio adjustments across venues, collateral types, and assets. It demands deterministic systems, data freshness, and precise execution planning.

October 23, 2025
Fill reason codes transform raw execution data into structured insight. They explain why fills occur, enable accurate TCA, and form the backbone of adaptive trading strategies.

October 16, 2025
Latency budgeting decomposes end-to-end execution time into measurable components, assigning ownership and maintaining visibility across trading systems.
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