Learn how to use the platform with practical examples
This tutorial shows how to explore all features of the Stocks Lab Project, from basic technical analysis to advanced AI tools like linear regression, clustering, and outperformer identification.
You can track stocks weekly using interactive charts with indicators such as RSI, ADX, Volume, and MACD. You can also compare a stock's performance against the VOO ETF and monitor its evolution over time.
Check the crossover between the 9 and 21 period moving averages (MA9 and MA21) to identify bullish or bearish trends. A short-term average crossing above the long-term average signals a bullish trend; the opposite indicates a bearish trend.
The returns panel also allows you to analyze the performance of different assets and track moving averages graphically.
Linear regression is used to calculate the slope (trend inclination) of each asset. It is an essential part of the platform's machine learning algorithms and helps identify trends and relative performance.
Clustering groups assets with similar performance behaviors using the slope as the main metric. This helps identify growth patterns and find assets with similar performance.
You can use an asset as a benchmark and discover others following similar trends, aiding portfolio diversification.
Discover which stocks outperformed the VOO ETF, based on the S&P 500 index. The system uses machine learning to identify stocks that performed better — the so-called outperformers.
The Heatmap shows asset performance by sector, making it easier to spot bullish and bearish trends. You can choose different sectors and identify the most profitable assets to build a diversified portfolio.
The Stocks Lab Project offers a consolidated and practical view of stock analysis, combining historical data, technical indicators, and AI tools. Explore each feature and use this tutorial as a guide to enhance your investment decisions.