Ensuring Continuity

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WebSocket APIs: These provide a persistent, bi-directional, and low-latency connection. Users can subscribe to specific data streams and receive continuous updates instantaneously as they occur. This is an indispensable tool for applications that demand ultra-low latency data, such as live order book depth changes, real-time trade feeds, continuous price tick streams, and is absolutely critical for algorithmic trading bots that must react to market changes with unparalleled speed. WebSockets ensure that the data consumed is as close to real-time as possible.
Through these robust APIs, a rich and extensive array of data points, meticulously curated, processed, and maintained by the "Bitget database," is made publicly available for legitimate use:

Comprehensive Market Data: Including live order book depth (bid/ask prices and quantities), recent trade history, historical candlestick data (OHLCV – Open, High, Low, Close, Volume) across various timeframes and instruments (spot, futures, perpetual swaps), and derivatives-specific data such as real-time funding rates, index prices, and margin ratio details.
Authenticated Account & Order Data: (Requiring secure API key austria business fax list
authentication) Current user wallet balances across all supported currencies and wallet types, details of open orders, comprehensive historical order data, detailed trade history, and current positions for margin and futures trading.
Platform Status Information: Providing insights into the exchange's operational health, scheduled maintenance periods, and the list of currently supported trading pairs and products.
This robust and well-documented API infrastructure stands as a direct testament to the efficiency, scalability, and internal organization of the "Bitget database." The speed, accuracy, and comprehensiveness with which vast amounts of data can be queried and streamed via these APIs directly reflect the underlying database's optimized architecture, sophisticated indexing, and advanced processing capabilities, empowering a vibrant and innovative ecosystem of third-party applications, trading tools, and analytical platforms that rely on Bitget's extensive data.

Page: Data Resilience and Disaster Recovery for Bitget's Core Database
Word Count: 315 words