Screening Filters
Market Cap ≥ $2,000,000,000 (market_cap.min)
- Purpose: Focus on mid- to large-cap companies.
- Rationale: When looking for “best” dip-buying opportunities, larger, more established companies tend to have:
- Better liquidity (easier to get in and out)
- More stable business models and information flow
That reduces the chance you’re just catching a falling knife in an illiquid small cap.
Relative Volume ≥ 1 (relative_vol.min)
- Purpose: Ensure today’s trading activity is at least normal, if not elevated.
- Rationale: A dip with solid volume means:
- The move is meaningful, not just a random, low-volume print
- There is active market participation, which makes technical levels more reliable
For dip-buying, you want real, liquid price action, not a dead stock drifting lower.
RSI Category = Moderate (rsi_category)
- Purpose: Avoid both extremely overbought and extremely oversold names.
- Rationale:
- If RSI is very overbought, the stock may be at risk of a deeper pullback ahead.
- If RSI is extremely oversold, the stock may be in a stronger downtrend (and not just a short-term dip).
“Moderate” RSI aims to capture stocks pulling back within a generally healthier trend, better matching “dips to consider buying” rather than full breakdowns.
Today’s Price Change: -6% to -2% (price_change_pct)
- Purpose: Explicitly target stocks that are dipping today.
- Rationale:
- A loss between -2% and -6% is a meaningful intraday pullback, but not necessarily a complete collapse.
- This range is a good “dip” window: big enough to be interesting for swing traders, but not so large that it automatically suggests serious bad news or a trend reversal.
1-Month Price Change: +5% to +40% (month_price_change_pct)
- Purpose: Ensure the stock has been in a recent uptrend, now experiencing a pullback.
- Rationale:
- A positive 1-month move says the stock has had upward momentum.
- Limiting it to +5%–+40% avoids:
- Flat/weak names (no momentum to bounce from)
- Extremely parabolic names (more vulnerable to big reversals)
This directly supports the classic “buy the dip in an uptrend” idea.
Region = United States (region)
- Purpose: Restrict to U.S.-listed companies.
- Rationale:
- Aligns with many traders’ focus and access (most retail platforms easily handle U.S. stocks).
- Simplifies comparing news, regulations, and macro drivers across all candidates.
Exchange in NYSE / NASDAQ / AMEX (list_exchange)
- Purpose: Focus on major U.S. exchanges.
- Rationale:
- These exchanges typically have better liquidity, tighter spreads, and higher disclosure standards.
- This helps ensure that your dip candidates are generally higher quality and more tradable.
Predicted 1-Week Return ≥ 0 (one_week_predict_return.min)
- Purpose: Use a model-based forward-looking filter to avoid names expected to keep dropping.
- Rationale:
- This doesn’t guarantee gains, but it tries to exclude stocks where the model sees a negative short-term outlook.
- For “dips to consider buying,” you’d prefer names where the data doesn’t suggest further downside over the next week.
Why Results Match the Question
- The daily price drop filter (-6% to -2%) directly targets stocks “experiencing dips today.”
- The positive 1‑month performance and moderate RSI focus on stocks dipping within an uptrend rather than collapsing from weakness.
- The market cap, exchange, and region filters concentrate on larger, more liquid, U.S.-listed names, which are typically more suitable for swing trading and dip-buy strategies.
- The relative volume and non-negative predicted 1-week return help narrow it to dips that are:
- Actively traded today
- Not flagged (by the model) as likely to keep sliding in the immediate future
Together, these filters are designed to surface U.S. stocks that have been trending up, are pulling back meaningfully today, are liquid and tradable, and have at least a neutral-to-positive short-term outlook—matching the idea of “the best stocks experiencing dips today to consider buying.”
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.