Cue Traders

Cue is an AI assisted stock research application to help stock traders make informed investment decisions. Our factor based ranking models helps users review company fundamentals while our AI models analyzes technical signals to generate a proprietary ranking and score for many US listed stocks that we cover.

Our systematic strategies leverage our model's history to curate stocks that show certain winning patterns based on statistical analytics of our own factors over the lifetime of these algorithms. Growth and Value and Momentum strategies use ML models to select stocks based on their fundamentals and technical strength.

Whether you are a short-term trader or a long-term investor you will find our rankings and stock curation valuable for your own investment journey. 



Factors used in Cue's Ranking Model:

- Growth

This factor will model the potential growth in Revenue and Earnings. Past results are also considered to adjust this factor for constancy over the long term. With both the past, present and future outlook the factor does its best at ranking companies that growth vs the ones that don't

- Valuation

This factor is about answering one question: "is the stock overvalues or undervalued?" we try to do that by comparing the stock to others in the market and high Valuation score indicated that the stock has a good upside while a low score indicates an overvalued name.

- Profitability

This factor summarized the business returns, whether it is gross margins indicting positive unit economics, or operating margin indicating operational efficiency. The profitability factor is often the one that is most overlooked by retail investors.

- Strength

This factor models the financial strength for the business. Debt, Equity and Cash all play a role in determining the short-term cashflow, and in many cases long-term survival or success.

- Sentiment

This factor reviews Analyst recommendations over time to capture sentiment shifts in current and future earning outlook.

- Momentum

This factor reviews the price history over the past year to gage the momentum of the price with relation to its trend.

- Technical Trend

This factor trains on the stock's technical signals to predict the near-term direction (bullish or bearish)