Prognozowanie kursów Forex: Modele ARIMA, XGBoost, LSTM i Monte Carlo (Polish Edition)
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Prognozowanie kursów Forex: Modele ARIMA, XGBoost, LSTM i Monte Carlo (Polish Edition)

by Kirti Wanjale, Aditya Wanjale

Business Finance Mathematics
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Prognozowanie kursów Forex presents models such as ARIMA for time series, XGBoost for machine learning predictions, LSTM for deep learning on sequences, and Monte Carlo for simulations. Ideal for Forex traders seeking accurate exchange rate forecasts, this Polish edition demystifies quantitative techniques for market analysis and decision-making.

About This Book

This book explores forecasting techniques for Forex exchange rates, focusing on established models like ARIMA for time series analysis.

Readers will learn about XGBoost, a powerful gradient boosting framework, and LSTM neural networks tailored for sequential data prediction in financial contexts.

The Monte Carlo simulation method is also covered, providing probabilistic approaches to estimate future currency movements.

Aimed at traders and analysts, the content offers practical insights into applying these models to real-world Forex scenarios.

As a Polish edition, it makes complex quantitative finance accessible to Polish-speaking professionals.

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