Practical writing on market data engineering, streaming APIs and building low-latency financial applications.
183 results
Learn how to access Real-time Stock Data with a Financial Market Data API. Explore REST API for stock market data, latest quotes, historical K-lines, and when WebSocket is a better fit for real-time market applications.
By AllTick
5 min read
A practical guide to real-time Hong Kong stock market data APIs, covering market data types, REST and WebSocket integration, market depth, performance, API limits, and production considerations.
By AllTick
5 min read
Learn how to calculate the KDJ indicator using real-time FX data, build 5-minute EUR/USD candles, generate trading signals, and validate quantitative strategies through reliable backtesting.
By AllTick
5 min read
Learn what tick trading is, how to calculate tick size and tick value, and how to account for trading costs and market data requirements when building and backtesting quantitative trading strategies.
By AllTick
5 min read
Compare AllTick plans by product limits, API request rates, WebSocket connections, and historical K-line coverage to find the right fit for your market data application.
By AllTick
5 min read
Learn how to handle missing gold price API data, fix timestamp discrepancies, normalize UTC timestamps, and recover historical data using REST and WebSocket.
By AllTick
5 min read
Learn how to design a real-time stock API architecture using WebSocket subscriptions, Redis caching, stale-update protection, and separate storage paths for live quotes and historical market data.
By AllTick
4 min read
Learn how to detect missing forex tick data, resolve timestamp inconsistencies, and validate market data before using it in quantitative trading strategies and backtesting.
By AllTick
5 min read
Learn what Open, High, Low, and Close mean in stock API data, how OHLC candlesticks work, and how to validate prices, timestamps, and historical data for reliable stock charts.
By AllTick
8 min read
When developing quantitative trading strategies, many developers focus on strategy logic, indicators, or parameter optimization. However, the reliability of backtesting results often depends on a more fundamental factor — data quality. For
By AllTick
5 min read
When building a forex trading system, quantitative strategy platform, or financial data application, developers usually focus on factors such as market data latency, coverage, and API stability. However, one fundamental issue is often overl
By AllTick
6 min read
In real-time forex trading systems, subscribing to multiple currency pairs seems like a simple scalability feature. However, once deployed in production, a subtle but critical issue quickly emerges: data out-of-order delivery. Especially in
By AllTick
4 min read
In modern trading systems, data connectivity is critical. Whether you are building a forex trading terminal, a multi-asset brokerage system, or a quantitative strategy engine, understanding the difference between an FX API and a CFD API is
By AllTick
3 min read
Many failed backtests are not caused by the strategy itself, but by the fact that the data layer is already biased from the beginning. In cryptocurrency markets, this problem becomes even more pronounced: prices move 24/7, liquidity shifts
By AllTick
4 min read
Learn how quantitative traders use order book imbalance (OBI) to adjust crypto market-making quotes with Python, manage volatility and inventory, and reduce adverse-selection risk.
By AllTick
4 min read
Showing 1–15 of 183
Generate a free API key in seconds and connect to every market from one endpoint.
