How Quants Build Alpha Models for Trading Signals
Quantitative researchers, or "quants," are at the core of modern systematic investing. Their task is to translate raw market data into actionable trading signals, known as "alpha models," that can predict future price movements. But how do quants actually construct these sophisticated models from scratch? This article walks through the precise steps quants follow - using a real-life alpha formula as an example - to transform price and volume data into profitable trading signals.
An alpha model is a mathematical or statistical formula that aims to forecast returns or price changes in financial markets. The output of these models - referred to as "signals" - guides trading decisions, portfolio rebalancing, and risk management.
Let's take a concrete example of an alpha formula found in the world of quantitative trading:
