Practical writing on market data engineering, streaming APIs and building low-latency financial applications.
183 results
The foreign exchange (forex) market attracts a large number of traders due to its high liquidity and 24-hour trading availability. Quantitative trading strategies are just as popular in forex as in other markets. Below are three classic for
By AllTick
2 min read
Volume profile is a commonly used concept in the field of financial investment. It refers to the relative proportion of a particular asset held by investors at a specific point in time. In the stock market…
By AllTick
1 min read
High-frequency trading is a computer-based trading strategy that aims to use technological advantages to conduct multiple buying and selling transactions within a short period. It typically uses microseconds (1…
By AllTick
1 min read
Every quantitative trader should master the 21 most popular trading strategies covered in this article. These strategies have proven to be key factors used by successful algorithmic and quantitative trading systems, employed not only by individual algorithmic traders but also by established hedge funds and other financial institutions…
By AllTick
1 min read
In quantitative trading, a strategy's core is not just its entry logic; more importantly, it is how to exit a position. A strategy that lacks effective take-profit and stop-loss mechanisms may perform poorly even with accurate entry signals because it cannot control risk and lock in profits…
By AllTick
1 min read
In the fast-changing financial markets, how to make efficient and rational investment decisions has always been the goal pursued by every investor. Quantitative Trading (Quantitat…
By AllTick
1 min read
Candlestick charts are a widely used chart type in stock markets and financial trading, designed to display information such as the opening price, highest price, lowest price, and closing price over a specific time period. This article intr
By AllTick
5 min read
With the rise of algorithmic trading, Python has become an essential tool for quantitative developers. This is largely thanks to Python’s powerful ecosystem in scientific computing and data analysis, along with support from excellent third-
By AllTick
5 min read
The momentum effect is a common phenomenon in financial markets, referring to the tendency for assets that performed well in the past to continue performing well for a period of time in the future. This article will introduce a quantitative strategy based on the momentum effect and use…
By AllTick
2 min read
In today’s complex financial ecosystem, trading platforms undoubtedly occupy a central and critical position. They function like bustling financial marketplaces, where a wide range of assets—from traditional stocks, bonds, and futures to em
By AllTick
5 min read
As a professional financial market data provider, AllTick is committed to providing stable and accurate real-time market data to trading platforms, quantitative teams, and fintech companies worldwide…
By AllTick
2 min read
📌LT;DRAllTick’s China stock API provides a powerful, reliable solution for accessing real-time market data. With 99.95% SLA uptime, our system ensures consistent, uninterrupted data delivery. We offer wide coverage of 100,000+ symbols acro
By AllTick
7 min read
📌TL;DR AllTick’s Precious Metals API provides real-time market data for a range of metals, including gold, silver, and more, with minimal delay (170 milliseconds). Register now to create an account and start your free trial Start Your Free
By AllTick
4 min read
📌TL;DR: AllTick’s HK Stock Real-Time Quote API provides ultra-low latency, real-time market data for over 3,000 Hong Kong stocks with an average delay of just 170 ms. It’s perfect for traders who need accurate, up-to-the-second insights fo
By AllTick
12 min read
TL;DR: AllTick API provides real-time and historical data for a wide range of markets, including: – Hong Kong Stocks– China Stocks– U.S. Stocks– Forex– Crypto– Commodities Features: Real-time & historical data availableLatency as low as 170
By AllTick
6 min read
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