IMPORTANT DISCLAIMER: Blank Capital Research ("BCR") is a technology platform, not a registered investment advisor or broker-dealer. The algorithmically generated signals, scores, and rankings provided on this site ("God Mode" Signals) are for informational and research purposes only and do not constitute financial advice, investment recommendations, or an offer to sell or solicit an offer to buy any securities.
HYPOTHETICAL PERFORMANCE RESULTS: The "timing scores" and "regime signals" displayed are based on quantitative models. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity.
RISK OF LOSS: Trading in financial markets involves a high degree of risk and may result in the loss of your entire investment. Data provided by third-party sources (Intrinio, Snowflake) is believed to be reliable but is not guaranteed for accuracy or completeness. Past performance is not indicative of future results.
© 2026 Blank Capital Research. All rights reserved. System Version: Aegis V8 (God Mode).
Our ranking system uses 6 academically-validated factors with static weights, backed by 41 peer-reviewed studies spanning 50+ years of financial economics. Every factor and weight is fully disclosed.
We gather price, fundamental, and alternative data for 4,446+ U.S. stocks meeting liquidity and data quality thresholds. Data is sourced from institutional-grade providers including Intrinio and Tiingo.
Each stock is ranked within its GICS sector first, eliminating systematic sector biases and identifying the best stocks in each industry. A 95th-percentile tech stock and a 95th-percentile utility stock both score equally high.
Factors are decorrelated to ensure each provides unique, additive information rather than redundant signals. For example, value and profitability are naturally correlated — orthogonalization removes this overlap.
Weighted combination of all 6 factors produces a final score from 0–100, translated into 5-star ratings and actionable recommendations. Weights are static — research shows that factor timing typically destroys value.
Measures cash-based operational efficiency — the single most predictive factor
Captures price trend persistence driven by behavioral underreaction
Composite measure of stock cheapness, adjusted for intangible assets
Berkin, A., Dugar, A., & Pozharny, J. (2024) — The Journal of Investing
Shows adjusting book values for R&D and SG&A improves value factor performance.
Identifies stable, lower-risk stocks that persistently outperform
Favors conservative capital allocation — disciplined firms outperform
Signal from sophisticated short sellers — informed trader sentiment
Composite scores are translated into score-threshold ratings using fixed score cutoffs inspired by AQR-style factor research. Each stock falls into one of five tiers based on its composite score.
41 peer-reviewed studies from top finance journals supporting our methodology. Factor-specific papers are listed under each factor above. Below are the cross-cutting research categories.
5 papers
Grinold, R. C., & Kahn, R. N. (2000) — McGraw-Hill
Definitive textbook on quantitative portfolio management. Standard reference for IC and factor evaluation.
3 papers
2 papers
Our model ingests data from multiple institutional-grade sources, processed daily through an automated pipeline.
Fundamentals, earnings calendar, and company financials for all U.S. equities
PostgreSQL database for factor computation, rankings storage, and real-time data access
Our quantitative rankings are for informational purposes only and do not constitute investment advice. Past performance does not guarantee future results. All factor-based strategies carry risks, including the possibility of underperformance relative to the market. Always conduct your own research and consider consulting a financial advisor before making investment decisions.