Reliable Forex Price Feeds with WebSockets, Retries, and Data Tiers
Summary
This guide describes operational practices for receiving foreign-exchange prices for research, backtesting, and live systems. It recommends a WebSocket push connection instead of frequent polling for actively used currency pairs, retrying after temporary connection failures, and assigning real-time updates to core pairs while polling less frequently for other instruments. It also suggests short-term local caching and normalizing field names, data types, and timestamps before data enters analysis or strategy components.
A short Python example illustrates subscribing to a selected set of currency pairs and parsing pushed symbol, price, and timestamp fields. The article frames these practices as ways to reduce polling overhead and improve continuity, but it does not provide measured latency, uptime, data-quality tests, or backtest evidence. Its recommendations therefore describe a general integration pattern rather than a demonstrated guarantee of feed accuracy or service reliability. The code excerpt does not show a full recovery design, such as reconnect handling or checks for stale and missing observations.
Key ideas
- A push-based WebSocket feed can reduce the need for frequent price polling.
- Retry logic and local short-term caching are proposed to help handle transient interruptions.
- Feed subscriptions can be tiered so core currency pairs receive faster updates than less-used pairs.
- Normalizing timestamps, field names, and data types can simplify downstream analysis.
- The example illustrates subscription and parsing but does not demonstrate service reliability or measured data quality.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.