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.
Read story![Annual performance of financial assets since 2010](/content/images/size/w100/2024/04/D_asset_performance.png)
Learn how to apply statistical programming on any industry.
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
Read storyLearn how to automate trading strategies by programming buy and sell orders with Python using the Alpaca API.
Read storyLearn to statistically analyze the stock performance of a company with Python.
Read storyLearn to integrate a Machine Learning model into an investment strategy and evaluate its performance using the backtesting.py library with Python.
Read storyPython tutorial to unstack the row categories into columns (long to wide table) to later create a heat matrix.
Read storyWhich library should you use for data visualization in Python? Matplotlib, Seaborn, or Plotly? Learn the main differences between them and when to use each one.
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
Using Bollinger Bands, we can create a trading strategy to buy and sell stocks based on the market's moving volatility.
Learn how to automate trading strategies by programming buy and sell orders with Python using the Alpaca API.
Learn to statistically analyze the stock performance of a company with Python.
Automate your European energy analyses with Python and the ENTSO-E API. We explain step by step with practical examples.
Learn to integrate a Machine Learning model into an investment strategy and evaluate its performance using the backtesting.py library with Python.
Leverage the properties of DatetimeIndex in Pandas for more efficient time series analysis, from formatting the column to creating reports with pivot tables.