These provide a persistent
Posted: Tue May 20, 2025 9:53 am
BitFlyer typically provides both REST APIs and WebSocket APIs to cater to different data access needs:
REST APIs: These are primarily used for making specific data requests or initiating actions (like placing orders or retrieving account balances) in a traditional request-response model. They are well-suited for fetching historical data, such as past price candles for a particular trading pair, or for querying a user's transaction history (which requires authentication). REST APIs singapore business fax list
offer flexibility and are widely used for building analytical tools and backend systems.
WebSocket APIs: , real-time connection. Users can subscribe to specific data streams and receive updates instantaneously as they occur. This is indispensable for applications that demand ultra-low latency data, such as live order book updates, real-time trade feeds, or continuous price tick streams. For high-frequency trading bots or live charting applications, WebSocket APIs are crucial for maintaining responsiveness and capturing fleeting market opportunities.
Through these APIs, a rich array of data points, meticulously curated and processed by the "bitFlyer database," is made available:
Market Data: Live order book data, recent trade history, historical candlestick data (OHLCV) across various timeframes, and funding rates for margin trading.
Authenticated Account Data: (Requires API key authentication) User wallet balances, open orders, order history, and detailed margin/funding positions.
Platform Status: Information about the exchange's operational health, supported trading pairs, and any system announcements.
This robust API infrastructure is a testament to the efficiency and scalability of the "bitFlyer database." The ability to serve high-volume, real-time data streams and respond to complex queries via APIs directly reflects the underlying database's optimized architecture, indexing, and processing capabilities, empowering a broad ecosystem of third-party applications and trading tools.
Page 8: Ensuring Continuity: Data Resilience and Disaster Recovery
Word Count: 315 words
REST APIs: These are primarily used for making specific data requests or initiating actions (like placing orders or retrieving account balances) in a traditional request-response model. They are well-suited for fetching historical data, such as past price candles for a particular trading pair, or for querying a user's transaction history (which requires authentication). REST APIs singapore business fax list
offer flexibility and are widely used for building analytical tools and backend systems.
WebSocket APIs: , real-time connection. Users can subscribe to specific data streams and receive updates instantaneously as they occur. This is indispensable for applications that demand ultra-low latency data, such as live order book updates, real-time trade feeds, or continuous price tick streams. For high-frequency trading bots or live charting applications, WebSocket APIs are crucial for maintaining responsiveness and capturing fleeting market opportunities.
Through these APIs, a rich array of data points, meticulously curated and processed by the "bitFlyer database," is made available:
Market Data: Live order book data, recent trade history, historical candlestick data (OHLCV) across various timeframes, and funding rates for margin trading.
Authenticated Account Data: (Requires API key authentication) User wallet balances, open orders, order history, and detailed margin/funding positions.
Platform Status: Information about the exchange's operational health, supported trading pairs, and any system announcements.
This robust API infrastructure is a testament to the efficiency and scalability of the "bitFlyer database." The ability to serve high-volume, real-time data streams and respond to complex queries via APIs directly reflects the underlying database's optimized architecture, indexing, and processing capabilities, empowering a broad ecosystem of third-party applications and trading tools.
Page 8: Ensuring Continuity: Data Resilience and Disaster Recovery
Word Count: 315 words