Building a Systematic Screener

The Quantitative Funnel

In systematic value investing, the stock screener is your first line of defense against emotional bias. Instead of hunting for stories, you will learn to build a quantitative funnel that narrows thousands of global equities down to a shortlist of high-probability candidates. We start with the broad investable universe, which can include over four thousand US-listed stocks. By applying rigorous filters, we aim for a 'sweet spot' of twenty to fifty candidates for deep-dive analysis.

The Value Composite Approach

To build a robust screener, you must move beyond single-metric filters. Systematic investors use a Value Composite approach to triangulate cheapness from multiple angles. Combining uncorrelated metrics, like EV/EBITDA for operations and Price/Book for assets, provides a more holistic view than the P/E ratio alone.

Data Hygiene & The Universe

Systematic rules are only as good as the underlying data. We must define our investable universe and perform a rigorous data hygiene scrub to avoid the 'Garbage In, Garbage Out' trap. This involves filtering out companies with stale financial reports or non-standard reporting structures that can skew results.

Key Concepts Recap

Before we move into the practical simulation, let's recap the core principles of building a systematic funnel.

Simulation: The Value Funnel

Let's execute a simulated stock screen. We start with the full US-listed universe of forty-five hundred stocks. Your goal is to reach a shortlist of under thirty finalists. By setting a Market Cap minimum of five hundred million, we remove micro-caps with unreliable data. Notice the count drops to nineteen hundred. Now, apply the valuation tests: EV/EBITDA under ten, Price/Book under one point two, and FCF Yield over eight percent. We are down to one hundred and forty candidates.

Simulation: The Quality Scrub

To finalize our list, we must apply the 'Quality Scrub'. We have one hundred and forty candidates left. Use the checkboxes to filter for data integrity. Filtering for Positive Net Income removes speculative cash-burners. Removing ADRs and OTC stocks ensures standard SEC reporting. We have reached our twenty-eight finalists!

Common Pitfalls & Configuration

Even with a great screener, there are traps to avoid. Beware of over-optimization, where setting thresholds too tight leads you straight into impaired businesses. Finally, watch for sector clustering. A pure value screen often loads up on Energy or Steel, increasing your systematic risk. Survival bias occurs when your data only includes companies that 'survived' to the present day, skewing backtest results.

Diagnosis: The Broken Screen

Read this screener configuration carefully. It is generating a list of stocks that are primarily bankrupt or delisted. Why is this happening? Type your diagnosis and a solution below.

Conclusion & Next Steps

You've mastered the art of the systematic funnel. Remember, this is just the beginning. The candidates you've identified today will now face the 'Key Tests Protocol' to separate the winners from the traps. Please note that this course is for educational purposes only and is not financial advice.