Stocks that are going to boom next week

Important Note Up Front

No screen (or analyst) can reliably find “stocks that are going to boom next week” with certainty. What we can do is look for stocks that, based on historical patterns and predictive models, have a higher probability of rising meaningfully in the coming week. The filters below are designed exactly for that: to tilt the odds in your favor, not to guarantee a boom.

Screening Filters

1. Market Cap: 500M – 300B

   • Purpose: Focus on mid-sized to large companies, avoiding both tiny micro-caps and mega-cap “slow movers.”
   • Rationale:
     • Minimum 500M:
       • Excludes very small, illiquid, or highly speculative micro-cap stocks where moves can be random or easily manipulated and risk is extreme.
       • Aims for companies that are established enough to have real businesses and more reliable data for prediction models.
     • Maximum 300B:
       • Cuts off the very largest blue chips (e.g., mega tech or giant multinationals) that are generally more stable and less likely to “boom” in a single week.
       • Historically, the biggest short-term percentage moves tend to occur in small‑ to mid‑cap names, not mega‑caps.

2. PriceAboveMA20 (Price above 20‑day moving average)

   • Purpose: Ensure the stock is currently in a short-term uptrend rather than fighting downward momentum.
   • Rationale:
     • The 20‑day moving average (MA20) is a common measure of short-term trend.
     • When price is above the MA20, it suggests buyers are in control and the stock is already showing strength.
     • Strong short-term trends are statistically more likely to continue than to reverse immediately, which aligns with the idea of a near‑term “boom” candidate.
     • This helps filter out stocks that are oversold or in a clear downtrend, even if they might look “cheap.”

3. One-week rise probability ≥ 60%

   • Purpose: Select only stocks where a predictive model estimates at least a 60% probability of being higher 1 week from now.
   • Rationale:
     • This is a probability-based filter: it doesn’t say the stock will go up, but that based on historical data, price patterns, and maybe other factors (volatility, volume, etc.), the model assigns a better‑than‑coin‑flip chance (>50%) of a positive weekly return.
     • Setting the bar at 60% makes the screen stricter: only candidates with relatively stronger bullish odds get through, which fits the goal of finding potential “boom” names rather than random picks.

4. One-week predicted return ≥ 5%

   • Purpose: Focus on stocks where the magnitude of the expected move is meaningful (at least ~5% over the next week).
   • Rationale:
     • A stock expected to rise only 1–2% next week doesn’t really fit the idea of “booming.”
     • A predicted return of ≥ 5% in one week is an aggressive target and aligns better with what most people mean by a stock “taking off” in the short term.
     • Combined with the ≥60% rise probability, this keeps only those names where the model expects both:
       • A reasonably high chance of going up, and
       • A sizable potential weekly gain.

Why These Results Match Your Intent

• Short‑term upside focus: The one‑week rise probability and one‑week predicted return filters explicitly target near‑term performance, which is what you asked for (“next week”).
• Higher probability, not random bets: By demanding ≥60% probability of a rise, the screen looks for situations where historical and quantitative signals tilt the odds toward an upward move, giving you candidates that are statistically more likely to do well.
• Meaningful potential move: Requiring a predicted return ≥ 5% tries to capture stocks with the potential for a noticeable “pop,” not small, everyday fluctuations.
• Trend alignment: The PriceAboveMA20 filter ensures you’re riding existing short-term momentum, not betting against it, which is more consistent with seeking a “boom” than buying into downtrends.
• Balanced risk/realism: The market cap range avoids lottery-ticket micro‑caps and slow mega‑caps, focusing instead on a segment where sharp weekly moves are more common but still grounded in real businesses.

In summary, these filters don’t guarantee that any stock will “boom,” but they narrow the universe to stocks that are: (1) in short‑term uptrends, (2) statistically more likely to rise next week, and (3) expected to move enough to potentially feel like a “boom” if the model’s forecasts play out.