A Multi-Factor Framework for Selecting U.S. Stock Perpetuals

Summary

The article adapts conventional equity screening to leveraged U.S. stock derivatives, emphasizing that these products track price movements without giving the trader ownership of shares. It recommends comparing price-to-earnings, price-to-book, and price-to-sales ratios with sector peers and historical ranges, then scoring fundamentals, capital flows, policy, technicals, and news. A worked NVIDIA scenario combines revenue growth and valuation with open interest, funding, moving averages, RSI, and earnings news.

The example proposes waiting for a pullback, using isolated margin and moderate leverage, limiting position size and exposure, and placing staged profit targets and a stop. These levels and scoring weights are prescriptive illustrations, not evidence of a profitable strategy or backtest. Valuation thresholds are context-dependent, and leveraged perpetuals or CFDs introduce funding costs and liquidation risk; the article’s product descriptions and market assumptions may also become outdated.

Key ideas

• The article distinguishes stock price derivatives from ownership of company shares.
• It proposes screening valuation ratios against industry peers and historical percentiles.
• Its five-factor framework combines fundamentals, capital flows, policy, technicals, and news.
• The NVIDIA example suggests a pullback entry and defines leverage, exposure, and exit rules.
• The proposed framework is illustrative and includes no backtest or evidence of profitability.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.