EverHint Signal — Dip & Bounce — December 04, 2025

What This Signal Is (Quick)

Dip & Bounce is a mean-reversion scanner that looks for a very specific one-day pattern:

• The stock trades meaningfully below the previous close intraday (controlled flush, not a collapse).
• Buyers step in and push price well off the low before the close (visible lower wick).
• The day usually still ends red or roughly flat, but the tape shows demand absorbing supply.

For this report (signals dated 2025-12-04), every name:

• Saw a dip of at least ~3.4–7.3% vs the prior close, based on the intraday low.
• Then bounced ~2.2–6.7% off the low into the close.
• Still finished around –0.9% on average vs yesterday’s close, which is exactly the sort of controlled flush this strategy wants.

This is an experimental scanner aimed at 1–3 day mean-reversion bounces, not multi-week trend following. It is best suited for:

• Traders who like buying controlled dips with evidence of intraday demand.
• People who want a pre-filtered list, then manually pick one or two best setups rather than spraying entries across the whole list.

Signals are for research, education, and back-testing only, not trade recommendations.

How We Ranked Today (Reader Version)

Today’s list is built from a pre-selected pack of 15 dip-and-bounce candidates, ranked by an internal combined dip + bounce score. In simple terms:

• Bigger, cleaner dips (price flushed further below the previous close).
• Stronger intraday recoveries (price traveled a good distance from the low into the close).
• Liquidity and basic quality filters, so we’re not chasing totally illiquid junk.

On top of that, we layer in:

• Insider flows (last 90 days) – net USD buying vs selling based only on open-market P (purchase) and S (sale) codes.
• Earnings proximity – days until the next scheduled earnings date, when available.
• Analyst coverage – whether there is active EPS/revenue estimate coverage and how concentrated it is (many vs few analysts).

Important context:

• These are controlled dips, not free-fall crashes.
• Many names are still above longer-term trend lines even after the flush.
• Several large-caps (for example Thermo Fisher Scientific and ICON) have deep institutional analyst coverage, while some high-beta names have fewer analysts and wider estimate ranges, which usually means more uncertainty and more volatility.

Again, this is an experimental, mean-reversion-focused scan, not financial advice.

📈 Dip & Bounce Signals – Top 15 List

Columns:

• Rank – Final rank from the combined dip+bounce score.
• Last ($) – Close on 2025-12-04 (signal day).
• Dip % – Intraday drawdown vs previous close.
• Bounce % – Recovery from intraday low into the close.
• Net Chg % – Close vs previous close (often modestly negative).
• RSI(14) – Short-term momentum; lower values are more oversold.
• Insider Net (USD) – Approximate net insider buying/selling over the last 90 days (open-market P/S only). Positive = buying the dip; negative = insiders selling into or around recent prices.
• Days → Earnings – Calendar days from 2025-12-04 until the next earnings date when known.

A few quick field notes from the table:

• Average dip across the list is roughly 4½%, with 3¾% average intraday bounce, while the day closes about –0.9% vs prior close.
• ICLR, FSLY, IQV show the strongest flushes (around 5.8–7.3% intraday dips) with powerful 4–6.7% recoveries.
• AFRM and STNE carry the lowest RSIs (around 41–42), making them the more oversold momentum names in this batch.
• TSEM and ICLR sit at the higher end of RSI (near 70), where the pattern is more of a “buying the pullback in a strong trend” than a deep oversold bounce.
• Insider activity is mixed: modest selling in some high-beta tech (FSLY, AFRM, ALAB) and heavy selling in Gap (GAP) with more than 23M USD net outflow, plus notable selling in Macy’s, IQVIA, and Thermo Fisher.

Recent Headlines On Key Names

Short, recent catalysts that help explain or contextualize some of these dips and bounces:

• M (Macy’s, Inc.) – Department-store name reacting to strong holiday-season narratives and earnings follow-through.
  • Macy’s has been highlighted as seeing stronger spending from wealthier shoppers, with commentators questioning how durable that trend will be.
  • Other coverage focuses on the company’s multi-year turnaround, with sales climbing to their highest level in several years as management leans into a transformation plan.
• TSEM (Tower Semiconductor Ltd.) – Semiconductor foundry stock with institutional attention.
  • Recent coverage points to a large investment firm taking a sizable stake in Tower, underscoring ongoing institutional interest in specialist chip manufacturing and design capacity.

Even when day-to-day headlines are positive, short bursts of profit-taking can still create dip-and-bounce days like the ones this scanner tries to surface.

Field Notes

A few important concepts and patterns behind this scan:

• Dip % (vs previous close)
  • Measures how far the intraday low was below yesterday’s close.
  • In this list, dips range from about 3.4% up to 7.3%, with the biggest flushes in ICLR, IQV, and FSLY.
  • Larger dips offer more bounce potential but also more risk if they are the start of a bigger trend change instead of a one-day flush.
• Bounce % (from the low)
  • Measures how much price recovered from the intraday low up to the close.
  • Recoveries here cluster around 3–4%, with standouts like ICLR, IQV, and TSEM showing very strong intraday demand (4–6.7% bounces).
  • A strong bounce after a decent flush is the signature of “flush then absorb” – supply got dumped and quickly absorbed by buyers.
• Net Chg % (close vs previous close)
  • Most names still finished slightly red or near flat, even after that bounce.
  • That combination – day ends red, but with a long lower wick – is classic mean-reversion territory: the crowd sees a “down day,” but the tape shows quiet accumulation.
• RSI(14)
  • Most RSIs sit between mid-40s and upper-60s, with:
    • AFRM, STNE, TMO more on the “short-term oversold” side.
    • TSEM, ICLR, M, KSS closer to “strong but extended,” where you’re essentially buying a pullback in an already strong tape.
  • For a pure bounce-trader, the lower-RSI names tend to be the more classic setups; for trend followers, the high-RSI pullbacks can be attractive.
• Sector rotation inside the list
  • Healthcare (ICLR, IQV, TECH, ABVX, TMO) and Technology (STNE, FSLY, TSEM, AFRM, ALAB) together make up most of the scan.
  • Consumer cyclicals (M, KSS, GAP) appear as targeted retail/thematic flushes.
  • The presence of SBSW (metals/mining) and GENI (sports data / media) rounds out a cross-sector mix, suggesting this was more of a broad, light risk-off day than a single-sector capitulation.
• Earnings proximity
  • For names with known schedules, earnings are mostly 56–89 days out, so there is very little near-term earnings risk here.
  • That usually means these moves are more about rotation, profit-taking, or day-to-day sentiment than about imminent event bombs.
• Insiders vs price action
  • Heavy net selling in GAP, plus additional selling in M, IQV, TMO, FSLY, AFRM, ALAB, suggests some insiders have been lightening up into recent strength or volatility.
  • A neutral or missing insider signal does not automatically make a setup good or bad; it just means there is no strong insider confirmation in either direction.
  • When you do see net buying during dips, it can add conviction that insiders are quietly using the weakness to accumulate. In this particular batch, insider flows lean more toward trimming than accumulation.

Vlad’s Take (EverHint)

On 2025-12-04, the broad market backdrop was modestly risk-off but not panicky:

• S&P 500 (SPX) closed around –0.14%, Nasdaq about –0.09%, and the Dow roughly –0.08%, all small, controlled red moves.
• Small caps (Russell 2000) actually outperformed, up about +0.9%, which points to selective risk-taking beneath the surface.
• The VIX finished near 15.8, down almost 2.8%, a low-to-normal volatility regime, not fear-driven.
• The 10-year yield (^TNX) ticked slightly higher, and Bitcoin / Ethereum traded modestly lower on the day, consistent with a mild, rotation-type risk-off mood rather than a shock event.

In that kind of environment, controlled dips with strong intraday bounces often represent:

• Short-term profit-taking in leaders (for example some healthcare and semi names).
• Traders de-risking into small red index days.
• Active funds opportunistically buying back intraday when liquidity improves.

From a trading-practice standpoint for this Dip & Bounce Mean Reversion idea:

• Entry timing
  • Consider entries on the next day’s minor weakness, ideally if price retests part of the prior day’s lower wick without breaking the low.
  • Some traders like entering near the prior close or into a small morning dip, watching intraday structure closely.
• Position sizing
  • Mean-reversion setups can fail hard when the market transitions into a stronger downtrend.
  • Keeping positions around 1–2% of portfolio per idea helps avoid one bad trade derailing the account.
• Risk management
  • A common tactical stop is just below the signal day’s low, which is the level that buyers defended.
  • If price slices decisively below that low on expanding volume, the “flush and absorb” thesis is likely wrong.
  • A time stop of 1–3 trading days also helps; if there is no bounce after a few sessions, the edge usually decays.
• Taking profits
  • Many mean-reversion traders look for 3–5% bounces or a retest of the previous day’s high / short-term resistance levels.
  • In stronger tapes, you might stagger exits, scaling out into strength while keeping a runner if the broader trend is bullish.

Overall, this list looks like a healthy mix of structured pullbacks in strong trends (ICLR, TSEM, TECH, TMO) and deeper dips in higher-beta names (AFRM, FSLY, STNE), all occurring on a day when the market was slightly red but calm. For a discretionary trader, it’s a good starting universe for picking one or two setups to track intraday rather than a shopping list to buy blindly at the open.

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This is not financial advice. Do your own due diligence.
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