AllTick
Blog

From the AllTick blog

Practical writing on market data engineering, streaming APIs and building low-latency financial applications.

203 results

quantitative tradingtrading strategyMarket DataTechnical Indicators

Dual Moving Average Strategy

Learn how the dual moving average strategy works, detect crossover signals with Python, and backtest trading rules using historical market data, realistic trading costs, and risk controls.

By AllTick

3 min read

quantitative tradingPython TradingStrategy Backtesting Market Data

R-Breaker Strategy

Learn how the R-Breaker strategy works, calculate its six price levels with Python, define breakout and reversal rules, and backtest trading signals using historical market data.

By AllTick

3 min read

Blog

High-Frequency Data and Arbitrage

In the stock market, arbitrage is the process by which investors seek out and exploit price differences to earn risk-free profits. With the development of high-frequency trading technologies in recent years, the search for arbitrage opportu

By AllTick

4 min read

Blog

Different Types of High-Frequency Data

In financial markets, high-frequency data analysis has become a crucial research method, especially when it comes to making trading decisions and analyzing microstructure. We’ve already explained the concept of tick data in detail in a prev

By AllTick

4 min read

tick dataquantitative tradingMarket-DataTick-DataBacktestingFinancial Data

What is tick data

Learn what tick data is, why it matters for quantitative trading, how to validate historical tick records, and how to evaluate market data APIs for more reliable backtesting.

By AllTick

7 min read

Blog

New Promotion: 20% Off for Annual Subscribers!

Subscribe to AllTick annually and enjoy 20% off on high‑frequency market data. Permanent promotion – upgrade your trading decisions today. Start saving now!

By AllTick

1 min read

Showing 196–203 of 203

Start streaming market data today

Generate a free API key in seconds and connect to every market from one endpoint.