Trading Algorítmico con Chabba: Cómo
Algorithmic trading strategy is a predefined set of rules that automates trade execution based on market data, technical indicators, and statistical ana...
Algorithmic trading strategy is a predefined set of rules that automates trade execution based on market data, technical indicators, and statistical analysis. It removes emotional bias from trading decisions and replaces them with data-driven logic, enabling consistent execution across multiple markets. Key fact: Algorithmic trading accounts for over 80% of U.S. equity volume as of 2024, shaping how modern markets function. Mean reversion strategy is a trading approach that assumes prices will eventually return to their historical average after deviating significantly. These strategies identify assets that have deviated considerably from their average and expect them to revert to the mean. These strategies work especially well in range-bound markets and typically use indicators like moving averages, Bollinger Bands, and RSI. The mathematical model often employed is the z-score: z-score = (Close - 20-day MA) / 20-day Standard Deviation Example: A mean reversion strategy might enter a long position when the z-score is below -1.5 (indicating the asset is significantly below its mean) and exit when the z-score approaches zero.
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