Reporting annual cumulative returns on multiple assets in Python
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
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Machine Thinking
Program the machine to free the human.
Program trading orders with Alpaca API in Python
Learn how to automate trading strategies by programming buy and sell orders with Python using the Alpaca API.
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Preprocess and analyze stock returns with Python
Learn to statistically analyze the stock performance of a company with Python.
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Backtesting with ML-based investment strategies
Learn to integrate a Machine Learning model into an investment strategy and evaluate its performance using the backtesting.py library with Python.
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Unstack data frame after grouping to create heat matrix
Python tutorial to unstack the row categories into columns (long to wide table) to later create a heat matrix.
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Reporting annual cumulative returns on multiple assets in Python
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
Reportes anuales sobre retorno acumulado con múltiples activos financieros
Aprende cómo procesar múltiples activos financieros para agregarlos a un reporte que destaque el rendimiento anual de cada activo.
Bollinger Bands with Python applied to the S&P500
Using Bollinger Bands, we can create a trading strategy to buy and sell stocks based on the market's moving volatility.
Program trading orders with Alpaca API in Python
Learn how to automate trading strategies by programming buy and sell orders with Python using the Alpaca API.
Preprocess and analyze stock returns with Python
Learn to statistically analyze the stock performance of a company with Python.
ENTSO-E API in Python: European energy data analysis
Automate your European energy analyses with Python and the ENTSO-E API. We explain step by step with practical examples.
Backtesting with ML-based investment strategies
Learn to integrate a Machine Learning model into an investment strategy and evaluate its performance using the backtesting.py library with Python.