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Long-Term Signals

Long-Term Signals Overview

Buying and holding strong stocks for a year or more is the safest way to see the highest returns. Prospero.ai's long-term signals show predictions for the next 2 months to 2 years, helping you create and maintain a strong portfolio.

Upside Breakout

Ranks stocks or ETFs by their potential for significant price gains over the next one to two years. Stocks with high Upside indicate investors expect good returns, which along with other signals, can indicate a solid long-term bet.

Downside Breakout

Ranks stocks or ETFs by their potential for significant price losses. A high number here indicates that investors expect bad returns, meaning you should look more carefully at this stock before buying or holding.

Profitability

Ranks stocks or ETFs by their potential for strong financial performance. A higher number here indicates a strong potential to yield profits over the next one to two years, suggesting a good long-term bet.

Market Similarity

Ranks a stock by how closely it mirror's the S&P 500. A high number means it is moving with the market with a low number meaning it is moving in the opposite direction. This signal is best combined with other signals.

Growth

Ranks stocks by the likelihood they will experience revenue and/or size expansion over the next one to two years. As Wall St. is addicted to growth, a higher number is a great indicator of success.

Short-Term Signals

Short-Term Signals Overview

Predicting the performance of a stock over the next one to two months, Prospero.ai's short-term signals help you see how institutions and options traders view the stock. While short term trading is risky, it can be lucrative for seasoned traders.

Net Options Sentiment

Ranks stocks or ETFs by how traders value a stock based mostly on pricing dynamics in the options markets. Large institutions like hedge funds strongly influence this number and following can help predict where price moves.

Net Social Sentiment

Ranks stocks and ETFs based on social media engagement and sentiment analysis data that indicates how positively or negatively users of large social media networks view the company.

Net Institutional Sentiment

Ranks stocks or ETFs by market activity of institutions based on their Securities and Exchange Commission filings. This signal can be a strong indicator but should never be used by itself.

Dark Pool Rating

Ranks stocks by the appearance of activity in dark pools. Dark pools are exchanges used only by institutions to delay trades up to 24 hours. This helps distort the true price of the stock or ETF.

Short-Pressure Rating

Ranks stocks or ETFs by how much short sellers are actively attempting to push down its price. If the stock gains despite sustained efforts to push it down, short-Pressure increases exponentially.

Prospero.ai Newsletters

Powerful Results

Investing Newsletter

2025 picks win at a 61% rate vs S&P500 and beating S&P by 115% annualized as of 05/22/25 (Beat S&P by 76% in 2024 and ~50% 2022/23).*

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  • Bi-Weekly update
  • Smaller/Higher conviction portfolio
  • Blends qualitative and quantitative strategies
  • Optional/simplified downside protection strategies

Trading Newsletter

Stay ahead. Daily updates with 27% better returns than S&P 500 with a 55% win rate vs. S&P 500 benchmarks on close to 5,000 picks since inception in 2023.*

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  • Updates almost every trading day
  • Opportunistic strategies
  • Ranges in complexity from sector and macro focused plays to event based pair-options trades.
*Disclaimer: Any signals presented are for illustrative purposes only and are not intended to portray recommendations to purchase or sell and security. Past performance is not necessarily indicative of future results. The results presented here relate solely to signals generated by our models and systems and are not actual trading results. 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. The performance of accounts using actual trading will likely differ from the results presented here due to various factors including slippage, commissions and other costs. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown here.