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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…

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…

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…

The pairs trading strategy is a high-frequency trading approach that seeks to profit from the price spread changes between two correlated assets by simultaneously buying one and short-selling the other….

Backtesting, short for retrospective testing, is the process of evaluating how a trading strategy would have performed in the past. It’s a critical step to determine whether your trading system…

Ultra-short-term trading (also known as intraday trading, from the English term Day Trading) refers to buying and selling stocks within the same trading day in order to profit from short-term…

In today’s financial markets—brimming with both challenges and opportunities—traders face complex decisions and fierce competition. To stand out and succeed in this dynamic environment, it takes more than just technical…

In today’s highly competitive financial markets, high-frequency trading (HFT) and algorithmic trading have become essential tools for many investors and traders seeking profit. Whether you’re a beginner or a seasoned…

The MACD (Moving Average Convergence Divergence) is a widely used tool in technical analysis, primarily employed to gauge the trend and momentum of stock or other asset prices. First introduced…

When it comes to cryptocurrency trading, quantitative strategies are a widely discussed topic. By automating and systematizing the trading process, quantitative strategies help traders execute trades more efficiently and respond…

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…

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…