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Hacia el éxito en Trading Algorítmico

Este blog tiene como objetivo compartir temas aprendidos sobre la construcción de sistemas de trading exitosos y estrategias cuantitativas usando trading algorítmico. Elimina el sentimiento y la sicología mientras construyes una carrera exitosa en trading.

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A continuación, puedes encontrar los tags de los temas que encontrarás en el blog.

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Trading Algorítmico Algorithms Arbitrage Backtesting Básico Ciencia de datos Data Sources Derivative Markets EPAT Ingeniería Financiera Predicción Análisis Fundamental Hedging Strategies Histogramas Historical Stock Data Interactive Brokers Aprendizaje Machine Learning Market Corrections NASDAQ Mercado del petróleo Trading de petróleo Options Trading Option Trading Python Quantamental QuantInsti Análisis cuantitativo Trading cuantitativo Quantra Quant Trading R Retornos Risk Analysis Risk Management Arbitraje estadístico Acciones Trading sistemático Testing Trading Estrategias de Trading Training Vertical Spreads WorldQuant University Precios WTI


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Why algorithmic trading?

According to the Algorithmic Trading Market report, the market size is expected to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a CAGR of 11.1% during the forecast period. The key driven factors for this grow are:

Raise demand for fast, reliable, and effective order execution

Reduction of transactional costs

Increasing government regulations, and growing demand for market surveillance.

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The Exchange-Traded Fund (ETF) is expected to grow at the highest CAGR during the forecast period. This segment provides low average costs to traders so they could gain maximum profits out of them.

North America is expected to hold the largest market size, while Asia Pacific (APAC) is expected to grow at the highest CAGR.

The emergence of AI in the financial service sector is expected to be a major factor aiding in the growth of the trading algorítmico market.

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