Stock Rankings & Backtested Screeners

A stock ranking system scores every company in a defined universe, then orders the list from strongest to weakest. Instead of asking whether a stock passes one rigid rule, the ranking weighs several signals at once: valuation, quality, balance sheet strength, growth, risk, and other traits that matter for the strategy.

That makes rankings more useful than simple screeners for many idea-generation workflows. A screener can exclude a good company because one metric barely misses a cutoff, or include a weak company because it passes a single cheapness test. A stock ranking system keeps the trade-offs visible and pushes the best overall combinations to the top.

A ranking on its own only tells you the order of stocks today. To show whether that order has actually been useful, each backtested screener is paired with an example simulated strategy that buys its top-ranked names and rebalances them on a fixed schedule, then runs across two decades of history.

The resulting performance is a reference, a way to see how the ranking has behaved through different markets and whether higher-ranked stocks tended to hold up, not a live track record or a portfolio to copy. Every strategy is fully specified, so you can see the exact universe, rules, costs, and rebalance assumptions behind its numbers.