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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Calculate On Autopilot
Practical tutorials on applying algorithms to data from any industry.
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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Structuring energy billing data with OpenAI for later BI
An quick example on how to use ChatGPT programmatically with Python.
How to calculate optimal power for solar self-consumption
Learn how to calculate the components of a solar self-consumption simulation to find the optimal power of solar panels to install.
Price spread report in Spain's energy markets
Explore Spain's energy price spreads, market share, and key fluctuations with detailed charts and data insights.
Visually comparing contracts from Iberian gas market MIBGAS
Discover how to analyze and visualize MIBGAS contract prices using Pandas and Matplotlib. This tutorial guides you through data filtering, date handling, and interpolation techniques.
Main differences between matplotlib, seaborn, and plotly
Which 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.
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.
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.