May 2024
Beginner to intermediate
496 pages
13h 15m
English
Content preview from Deep Learning Tools for Predicting Stock Market Movements
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Glossary
- AI (Artificial Intelligence):
- Artificial Intelligence is the simulation of human intelligence processes by machines, including learning, reasoning, and problem-solving. In finance, AI is employed to analyze data, develop trading strategies, and automate tasks.
- AI in option trading:
- Artificial Intelligence (AI) augments option trading by applying deep learning to assess market conditions and identify profitable opportunities. It assists traders in executing well-informed option trading strategies.
- Alternative data:
- Alternative data refers to non-traditional, unconventional data sources used for analysis. In finance, it can include social media activity, satellite imagery, and web scraping data for predicting market movements.
- ARCH and GARCH family:
- Autoregressive Conditional Heteroskedasticity (ARCH) and Generalized ARCH (GARCH) models are used to model volatility clustering in financial time series data. They provide insights into market volatility patterns.
- ARIMA (AutoRegressive Integrated Moving Average):
- ARIMA is a time-series forecasting method that models a variable as a combination of its past values and forecast errors. It’s commonly used in financial analysis for predicting stock prices and market trends. They capture temporal trends, seasonality, and autocorrelations in stock market data.
- Artificial intelligence in stock market prediction:
- Artificial intelligence leverages deep learning and other techniques to analyze massive amounts of data for stock market predictions. ...
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