Blog - AllTick Real-time Market Data API

Grid Trading Strategy
Grid trading originated in the foreign exchange (forex) markets, though its exact inception date is difficult to determine. It can be traced back to the late 1970s and early 1980s,…

Andreas Clenow’s Trend Following Strategy
Among Clenow’s strategies, the Trend Following approach is perhaps the most famous. This strategy focuses on capturing long-term market trends by using technical indicators and trendlines to identify and follow…

Mean Reversion Strategy
The Mean Reversion strategy is a type of statistical arbitrage approach in quantitative trading. It is based on the idea that asset prices tend to revert to their long-term average…

Flash Crash Strategy
The “Flash Crash” strategy is a short-term trading approach inspired by the experiences and stories of Jesse Livermore, as described in the classic trading book Reminiscences of a Stock Operator….

The Turtle Trading Strategy: A Classic Trend-Following System
The Turtle Trading Strategy is a classic trend-following approach developed in the 1980s by Richard Dennis and William Eckhardt. This strategy identifies entry and exit points by tracking a market’s…

How to Use Google Finance Data in Google Sheets
If you have years of experience in quantitative trading, you’re probably no stranger to the Google Finance API. It was once a very popular tool in the financial trading industry,…

Python Quantitative Trading: How to Access Financial Market Data?
This article introduces how to use Python to call pre-packaged high-frequency data APIs. We’ll use Alltick’s tick data interface as an example. Here’s a sample code snippet. Requesting Candlestick Data…

Bollinger Bands Strategy
The Bollinger Bands strategy was developed by John Bollinger in the early 1980s. It is a highly popular technical analysis tool used to assess the price level and volatility of…

From Tick Data to Candlestick Charts
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…

Dual Moving Average Strategy
The Dual Moving Average (Dual MA) strategy is a simple yet widely used technical analysis tool designed to identify trend changes in the market and generate trading signals. This strategy…

R-Breaker Strategy
The R-Breaker strategy is a well-known trading strategy developed by American trader and programming expert Richard Saidenberg. It was made public in the early 1990s. This strategy is primarily used…

Forex Strategies in Python
The foreign exchange (forex) market, known for its high liquidity and 24-hour trading cycle, attracts a large number of traders. Quantitative trading strategies are also very popular in the forex…
Real-time Market Data API
Comprehensive high-frequency data API covering Hong Kong stocks, U.S. stocks, futures, forex, and cryptocurrencies.
- Real-time quotes & historical data
- Tick-level records
- Ultra-low latency
- 99.95% reliability
- Easy API integration