VelocitySignals Lab

In VelocitySignals Lab, I’ve built a system that enhance prediction and decision-making in stock market movement by analyzing key technical indicators like RSI, MACD, and Volume. The dataset comes directly from TradingView in the form of a CSV file with pre-established indicators. I use Google Cloud Functions to load this data into the lab, where it is processed and analyzed in real-time.

The lab's infrastructure is built on Google Cloud, with data flowing through Cloud Storage and BigQuery for easy querying and analysis. Once the dataset is loaded, I run calculations on key indicators, including Exponential Moving Averages (EMAs), MACD, and RSI. These indicators help me identify critical market conditions, such as when a stock is oversold or overbought, and predict future price movements based on historical trends. See the Technical Notes on the right side.

The predictive models in VelocitySignals Lab are designed to continuously improve by analyzing patterns in RSI, MACD, and Volume. The lab generates buy, sell, or hold signals based on these indicators, allowing me to anticipate market movements with greater accuracy. The real-time nature of the system means that I can rely on it for fast decision-making.

I visualize the data and predictions using Tableau, which connects to BigQuery for seamless updates. These dynamic dashboards display key insights like price trends, signal strength, and prediction accuracy, giving me a clear view of the market at any given moment. VelocitySignals Lab combines advanced analytics with cloud-based infrastructure, helping me make informed, data-driven trading decisions.