EverHint Signal — Dip & Bounce — December 08, 2025

What This Signal Is (Quick)

This experimental Dip & Bounce Mean Reversion scanner looks for a very specific one-day pattern: a controlled intraday flush below the prior close, followed by a clear bounce off the low before the close. Think of it as “buyers quietly stepping in while the candle still looks ugly.”

For each stock, the pattern is defined by three pieces:

• A meaningful dip vs yesterday’s close (today’s low at least ~1.5% below the prior close).
• A visible bounce off the intraday low (price recovers ≥0.75% from the low into the close).
• A net result that’s usually red or flat on the day (roughly -2.5% to +0.5%), leaving a lower wick that hints at demand.

This is a mean-reversion-focused idea, not a trend-following breakout. The intent is to identify 1–3 day bounce candidates after a controlled flush, especially in higher-beta names. All signals are long-side only in this v1 release. Signals were generated on 2025-12-08 using end-of-day data.

Best suited for:

• Traders who like buying dips with proof of intraday demand
• Short-term swing traders targeting quick bounces
• People who want a pre-filtered watchlist, then pick 1–2 setups to manage manually

How We Ranked Today (Reader Version)

Today’s list contains 24 names across Technology, Industrials, Financial Services, Energy and more. Ranking is simple and transparent:

1. Dip % — Bigger intraday flush vs prior close ranks higher.
2. Bounce % — Among similar dips, stronger recoveries off the low rank higher.
3. Liquidity (adv20_dollars) — Higher average dollar volume is preferred when dip and bounce are similar.

On top of that, we layer:

• Insider activity — Net open-market buying vs selling over the last 90 days (P vs S transactions only).
• Earnings proximity — Days until the next earnings report (near-term events can amplify moves).
• Analyst coverage — How many analysts are modeling the name (rough proxy for institutional attention).

This is experimental research, shared for education and back-testing. These are controlled dips with clear bounces, not falling knives or panic candles.

📈 Dip & Bounce Signals — December 08, 2025

How to read the table:

• Dip % – How far today’s low undercut yesterday’s close.
• Bounce % – How far the stock rallied off today’s low into the close.
• Net Chg % – Overall result vs prior close (most are still slightly red).
• RSI(14) – Short-term momentum; lower values lean more oversold.
• Insider Net (USD) – Net open-market insider buying/selling over the last 90 days (P minus S). Positive = net buying, negative = net selling, “—” = no significant activity.
• Days → Earnings – Calendar days from 2025-12-08 until the next scheduled earnings report (where available).

A few quick highlights:

• Top dips with strong bounces – EOSE, QBTS and CRDO all saw 6–8% intraday flushes with ~6–8% bounces off the low, yet still closed about 1% below the prior day.
• Crypto-adjacent miners – CIFR, WULF and IREN show up together, reflecting a shared “flush and absorb” dynamic in that pocket.
• Large, liquid names – NXT, AKAM, HOOD, GEV bring institutional-scale liquidity into the same pattern.
• Near-term catalyst – AVAV reports in 1 day, making that dip-and-bounce especially event-sensitive. Several others sit within the 40–80 day earnings window.

Recent Headlines (Context for the Dips & Bounces)

Short summaries of recent news around some of the names in today’s list:

• NXT – Nextpower Inc.
  • Research outlets have flagged NXT as a trending name, with write-ups digging into fundamentals and valuation.
  • The company announced a new Southeast operations hub and manufacturing expansion, pointing to growing demand for its energy-infrastructure solutions.
  • Long-form pieces are exploring how AI data centers could reshape power demand, with NXT positioned as a beneficiary.
  • Fund-flow coverage highlights sizeable institutional positions and compares NXT to peers in clean-energy hardware.
• ATAT – Atour Lifestyle Holdings
  • Coverage notes that shares moved higher recently after raised guidance, pointing to stronger top-line expectations and improved visibility for the travel/consumer side of the story.

Use these headlines purely as context: they can help explain why the dip happened (profit-taking, macro fears, sector repricing) or what might fuel further bounce (guidance raises, structural growth themes, institutional interest).

Field Notes

Some quick observations from today’s batch:

• Dip, bounce, net move
  • Intraday dips ranged from roughly 3.4% to just over 8% below the prior close.
  • Bounces off the low recovered ~1.8% to 7.7% by the close.
  • Net moves still landed between about -1.9% and +0.1%, so visually many of these candles remain red while still hiding meaningful intraday demand in the lower wicks.
• RSI(14) profile
  • RSI spans from the mid-30s (more oversold) up to the low-80s (strong momentum).
  • Names like YPF sit on the softer-momentum side, while LBRT shows a much stronger RSI, meaning some dips occurred inside established uptrends rather than true washouts.
• Sector clustering
  • Technology (7 names), Industrials (5) and Financial Services (5) dominate the list.
  • Energy supplies 3 candidates (VIST, YPF, LBRT), hinting at a controlled shakeout rather than a full-on capitulation in the group.
  • This kind of clustering is consistent with sector-wide intraday flushes rather than isolated stock accidents.
• Insider flows
  • In this batch, insiders are net sellers, especially in high-beta names like CIFR, IREN, HOOD, MP, IONQ, QBTS and JOBY.
  • There’s no visible net open-market insider buying on this list, which tilts the signal toward “short-term trading setup” rather than “management is loading up on the dip.”
• Earnings timing
  • One-day catalysts: AVAV sits just 1 day from earnings.
  • Near-term windows (under ~2 months) include HWC, ROAD, HII, VKTX, LBRT, HOOD, IREN, CIFR, NXT, GEV and others.
  • A long runway (60–90+ days) tends to lower immediate event risk, but dip-and-bounce setups near earnings can see amplified volatility in both directions.
• Analyst coverage
  • Many names carry solid coverage: for example, AKAM has around mid-teens EPS estimates, HOOD shows a dozen or so, and growth names like QBTS, JOBY and EOSE have smaller but non-trivial analyst followings.
  • Wider estimate ranges (especially in early-stage growth and energy transition names) often mirror the uncertainty baked into these dips.

Vlad’s Take (EverHint)

From a market-wide lens, the backdrop on December 8, 2025 looked modestly risk-off but orderly:

• The S&P 500 slipped about -0.4%, with the Nasdaq and Dow down a similar -0.4 to -0.5%.
• Small caps (Russell 2000) tracked the same pattern, off around -0.45%, suggesting a broad but controlled pullback rather than a rotational blow-up.
• The VIX nudged higher to the mid-teens (around 16–17), roughly a 3% rise, which still sits in a “normal, not panic” regime.
• In crypto, Bitcoin added under +1% while Ethereum gained roughly +2.5%, supporting the idea that risk appetite hasn’t completely vanished.

Against that backdrop, a list of 3–8% intraday flushes with solid bounces makes sense: broad indices eased, volatility firmed a bit, and high-beta pockets shook out more aggressively without outright breaking.

If you’re trading this style of mean reversion, a few practical ideas:

• Entry timing – Consider stalking entries near prior-day close or modest next-day weakness, rather than chasing into the very end of the bounce candle.
• Position sizing – Treat these as tactical trades, not core holdings. Something like 1–2% of portfolio per idea is often more appropriate than oversized bets.
• Risk management – A common framework is a hard stop just under today’s low, since the whole thesis is that the low marked a flush that should hold. If that level breaks cleanly, the pattern has failed.
• Profit taking – Target a 3–5% bounce or a move back toward yesterday’s high or short-term resistance, and be willing to scale out rather than call the exact top.
• Time stop – If the stock doesn’t respond within 1–3 sessions, the edge erodes fast. Mean-reversion ideas that go sideways for a week often morph into something else entirely.

And always zoom out: this scanner doesn’t know if macro conditions are worsening, if we’re early in a new down-leg, or if a specific company has idiosyncratic risk that makes dips dangerous to buy. Use it as structured input, not automatic output.

📊 A simple like, share, or subscribe helps this channel reach more traders who follow data, not noise.

Independent, data-driven signals.
No hype. No promotions. Absolutely zero bias. Just experimental market research from EverHint.

This is not financial advice. Do your own due diligence.
See https://www.everhint.com/disclaimer/ and https://www.everhint.com/faqs/