AI & Quantitative

Alpha

The excess return of an investment relative to a benchmark index, representing the value added (or lost) by active management or a trading strategy.

Explained Simply

Alpha measures performance above and beyond what the market delivered. If the S&P 500 returned 10% and your portfolio returned 13%, your alpha is approximately 3% (after adjusting for risk via beta). Positive alpha means a strategy is beating the market on a risk-adjusted basis; negative alpha means it's underperforming. Generating consistent alpha is the holy grail of investing — it's what hedge funds, active managers, and trading algorithms aim for. However, alpha is notoriously difficult to sustain because markets are competitive and edges get arbitraged away over time. Many academic studies show that most active managers fail to generate alpha after fees.

How Tradewink Uses Alpha

Tradewink tracks alpha for every user's trading performance by comparing their returns against a buy-and-hold SPY benchmark, adjusted for risk. The LearningEngine uses alpha as a key metric to evaluate which strategies are actually adding value versus just riding market beta. Strategies that consistently generate positive alpha get higher weights in the RLStrategySelector, while strategies with persistent negative alpha are deprioritized or flagged for review.

Related Terms

Learn More

See Alpha in action

Tradewink uses alpha as part of its AI trading signal pipeline. Start getting signals that use this concept to find real opportunities.