I saw some Tycoons in the group saying that OKX was holding a World Pi Day Mystery Event, with the theme of "Exploration, Never Ending". As a veteran programmer, when I saw the news, I smiled and open...
Introduction to price momentum trading strategy Momentum trading strategy analyzes the comparison of long and short position forces through the relationship between the opening price, the highest pric...
Introduction to Dual Thrust trading algorithm The Dual Thrust trading algorithm is a famous quantitative trading strategy developed by Michael Chalek. It is usually used in futures, foreign exchange a...
Pair trading is a good example of formulating trading strategies based on mathematical analysis. In this article, we will demonstrate how to use data to create and automate pair trading strategies. Ba...
The inspiration of this article comes from my observation of some common warnings and traps after trying to apply machine learning technology to transaction problems during the data research on the FM...
The term "hedging" is a very basic concept in the field of quantitative trading and program trading. In the quantitative trading of digital currency, the hedging strategies often used are: futures-spo...
When writing and using strategies, we often use some rarely used K-line period data. However, exchanges and data sources do not provide data on these periods. It can only be synthesized by using data ...
There are not many Python strategies on the strategy square. A Python version of the grid strategy is written here. The principle of the strategy is very simple. A series of grid nodes are generated b...
Trend strategy generally uses various indicators to judge the market direction, and uses the comparison results of various indicators as trading signals. In this way, it is unavoidable to use paramete...
I. Teach you to transform a Python single-species strategy into a multi-species strategy In the last article, a very simple Python strategy was implemented: "Strategy for buying the winners of Python ...