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Systematic trading is a trading strategy based on predefined rules, algorithms, or quantitative models that make trading decisions without the influence of human emotions or discretion. These strategies rely on data analysis and statistical methods to identify trading opportunities and execute trades automatically. Systematic trading is common in algorithmic trading and quantitative hedge funds, where trades are executed at high frequency and in large volumes.
A systematic trading strategy might be programmed to buy stocks when their relative strength index (RSI) drops below a certain threshold, with trades executed automatically based on these predefined criteria.
• A rule-based trading strategy using algorithms or models.
• Removes emotional decision-making from trading.
• Common in algorithmic and quantitative trading.
Systematic trading eliminates emotional bias, allowing for consistent execution based on data and predefined rules.
Systematic traders use technical indicators, statistical models, and algorithms based on factors like price trends, volatility, and momentum.
By following strict rules, systematic trading can adjust to market conditions automatically, though sudden market changes can still pose risks.
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