Which stocks will decrease this week

Note on “likely to decrease”

No screen can guarantee that a stock will fall this week, but these filters are designed to tilt the list toward stocks that, based on recent price action and quantitative forecasts, have a higher probability of declining in the near term.

Screening Filters

1. moving_average_relationship: PriceCrossDownMA5, PriceBelowMA20

   • Purpose: Capture stocks showing bearish short‑term technical signals.
   • Rationale:
     • PriceCrossDownMA5: The current price has recently crossed below its 5‑day moving average.
       • This is a classic short‑term bearish crossover signal, suggesting momentum has turned downward very recently.
     • PriceBelowMA20: The current price is below its 20‑day moving average.
       • This indicates the stock is already in a short‑term downtrend, rather than just a one‑day dip.
     • Together, these filters focus on stocks where:
       • The trend over the last month (20 days) is weak, and
       • The very recent price action (5 days) has turned more negative.

2. week_price_change_pct: min = -100, max = -2

   • Purpose: Select stocks that already fell in the past week by at least 2%.
   • Rationale:
     • A 1‑week price change between −100% and −2% means:
       • The stock is down at least 2% over the last week (negative momentum),
       • But we exclude extreme edge cases beyond −100% (basically a safety bound).
     • This aligns with the idea that recent losers may have a higher chance of continued weakness, especially when confirmed by other indicators.

3. region: United States

   • Purpose: Restrict the universe to U.S. companies.
   • Rationale:
     • Your question is about the US market, so this ensures all results are U.S.-listed firms or U.S.-domiciled companies.

4. list_exchange: XNYS, XNAS, XASE

   • Purpose: Focus on major U.S. exchanges: NYSE, NASDAQ, and NYSE American.
   • Rationale:
     • These exchanges contain the most liquid and widely followed U.S. stocks.
     • It avoids over‑the‑counter and very illiquid names where prices can be erratic and signals less reliable.

5. one_week_predict_return: min = -100, max = -2

   • Purpose: Use a prediction model to find stocks expected to have negative returns over the next week.
   • Rationale:
     • This is a quantitative forecast of 1‑week return.
     • A range of −100% to −2% means the model expects at least a 2% decline over the next week (on average), not a gain.
     • Combining this with recent negative performance and bearish technicals targets stocks where both history and the model point the same way: downside.

6. one_week_rise_prob: min = 0, max = 40

   • Purpose: Filter for stocks with a low modelled probability of rising in the next week.
   • Rationale:
     • A maximum of 40% rise probability implies the model sees at least a 60% chance of not rising (flat or falling).
     • This strengthens the bias toward names that are statistically more likely to drop or at least not go up in the near term.
     • Using both predicted return and probability of rise reduces the chance of including stocks where the expected return is slightly negative but highly uncertain.

Why Results Match Your Question

• The screen limits results to U.S. stocks on major exchanges, matching your “US market” requirement.
• Recent price action is negative (down at least 2% in the last week), signaling existing weakness.
• Technical trends (5‑day and 20‑day moving averages) confirm a short‑term bearish setup rather than a random dip.
• A quantitative forecast calls for negative 1‑week returns and assigns a low probability of a rise, directly addressing “likely to decrease in value this week.”
• By combining past performance, technical indicators, and predictive modeling, the filters focus on stocks where multiple independent signals point toward a higher likelihood of short‑term downside.