Screen: Biotech and Medtech Stocks That Got a Boost From the J.P. Morgan Buzz

Hook: Cut through the JPM noise — find biotech and medtech trades that matter

Investors and traders hate two things about J.P. Morgan Healthcare week: the flood of headlines that mask the real winners, and the fear of missing out on short-lived moves. If you rely on manual scanning, you burn time and miss actionable setups. This guide gives you a dynamic screener designed for JPM 2026 that filters companies gaining real investor attention — combining volume spikes, conference mentions, and price moves — to produce focused trading ideas and a practical watchlist.

Executive summary — what this screener delivers

At the top: use the screener to turn conference buzz into measurable signals. It detects companies with:

• Volume spike relative to recent average (signal of institutional activity or retail momentum)
• News & mention spike — articles, panel mentions, and social attention tied to JPM
• Price move confirmation — intraday and short-term moves that validate the attention

Combine these into a composite score to generate a ranked list of trading ideas and a prioritized watchlist. Use the list to set alerts, size positions, and monitor catalysts (readouts, deals, licensing announcements) throughout Q1 2026.

Why JPM 2026 is uniquely tradeable

JPM 2026 was louder and more consequential than recent years. The conference reflected the late-2025 momentum: rising dealmaking, new modalities, and heavier AI conversations. That combination created concentrated attention spikes across microcaps and midcaps as well as larger medtech names. Forbes, covering the event, noted themes like the rise of China, AI’s role in discovery, and a surge in deals (Forbes, Jan 16, 2026).

"The rise of China, the buzz around AI, challenging global market dynamics, the recent surge in dealmaking, and exciting new modalities were the talk of JPM this year." — Forbes, Five Takeaways From The 2026 J.P. Morgan Healthcare Conference

Because conferences create synchronized catalysts (presentations, panels, press releases), attention often translates quickly into tradable moves. The screener exploits that synchronization.

Core signals: what to measure and why

Not all noise is tradable. The screener uses these core, proven signals to separate actionable candidates from transient chatter:

1. Volume spike (the baseline signal)

Definition: intraday or daily volume >= X times the 20-day average (we recommend 2.5x–5x depending on market cap). Volume confirms participation — institutional or retail. A price move without volume is weak; volume without price move is indecisive.

2. Mention spike (news + social)

Count conference-specific mentions across newswire feeds and social platforms within a rolling window (e.g., 24–72 hours). Weight editorial and wire coverage (Bloomberg, Dow Jones, RTTNews) higher than social chatter, but track both. Example: Profusa’s product launch and commercial revenue note received wire coverage and sparked immediate volume and a price jump (RTTNews, Jan 2026).

3. Price move confirmation

Measure intraday and short-term (% change over 1 day, 3 days, 5 days) and require minimum move thresholds (e.g., >5% intraday with volume spike). Combine momentum with mean reversion checks to avoid overbought traps.

4. Liquidity & float filters

Exclude ultra-illiquid names with average daily volume below a minimum (e.g., $200k–$500k) or micro floats that create manipulation risk. Use this to reduce false positives and ensure practical tradability.

5. Event / catalyst tagging

Tag candidates by catalyst: presentation, trial readout, deal rumor, product launch (e.g., Profusa Lumee), or licensing commentary. Catalysts help you decide timeframe (swing vs. day trade) and position sizing.

Composite scoring: rank candidates objectively

Turn signals into a single score so you can rank and filter automatically. Example scoring model:

• Volume spike score = min(5, log2(volume / avg20)) * 2
• Mention score = editorial_mentions*3 + social_mentions*0.5
• Price move score = 1-day% * 0.6 + 5-day% * 0.4 (normalized)
• Liquidity penalty = -2 if avg daily dollar volume < $200k
• Catalyst boost = +3 for confirmed presentation or commercial launch

Composite Score = VolumeScore + MentionScore + PriceScore + CatalystBoost + LiquidityPenalty. Rank descending and surface the top N names to the watchlist.

Data sources, latency, and trust

Accuracy and latency matter. Use these inputs in priority order for robustness:

1. Exchange tick feeds or Level 1 quotes (real-time volume and price)
2. Wire services (Bloomberg, Reuters, RTTNews) for confirmed announcements
3. Regulatory feeds (SEC/EDGAR) for filings and insider trades
4. Conference schedules and speaker lists (J.P. Morgan website, conference apps)
5. Social streams (X/Twitter, StockTwits) for early signals — treat as lower weight
6. Options flow and dark pool prints for institutional conviction

Note: attribute editorial signals explicitly. For example, reference RTTNews when flagging Profusa’s commercial launch to explain why the screener gave a catalyst boost.

Step-by-step: build the screener (practical)

Here’s a straightforward workflow you can implement in a dashboard or algorithmic screener.

1. Ingest minute-level price and volume for your universe (biotech & medtech tickers). Compute avg20 volume and detect spikes where minute or daily volume >= 3x avg20.
2. Pull news mentions from wire services and tag articles mentioning the conference or JPM speakers. Use keyword filters: "J.P. Morgan", "JPM", "Healthcare Conference", plus company names and ticker symbols.
3. Aggregate social mentions for the same window. Apply a credibility weight (0.3–0.6) vs. wire weight (1.0–2.0).
4. Compute price move metrics (1d, 3d, 5d) and confirm direction relative to moving averages (e.g., price > 20-day SMA to favor momentum) or use RSI to avoid immediate overbought names.
5. Calculate composite score per the model above and rank the universe. Push top N names to a watchlist with action tags (day-trade, swing, avoid — based on liquidity and catalyst type).

Minimal pseudocode:

for ticker in universe:
  vol_spike = (today_vol / avg20_vol) >= 3
  news_count = count_wires_mentioning(ticker, 'JPM', last_72h)
  social_count = count_social_mentions(ticker, last_72h)
  price_move = pct_change(close, 1d)
  score = f(vol_spike, news_count, social_count, price_move, liquidity)
  if score > threshold: add_to_watchlist(ticker, score)
  

Case study: how the screener flagged a conference catalyst

In early 2026, the sensor and biosensor segment drew attention as companies highlighted new commercial pathways. For instance, wire coverage of Profusa’s product launch (Lumee) and the note that the company moved toward first commercial revenue corresponded with higher-than-usual volume and a clear price reaction (RTTNews, Jan 2026). Our screener would have flagged this pattern as:

• Volume spike > 4x avg20 (intraday)
• Wire coverage mentioning "commercial revenue" and product launch
• Price move > 10% intraday
• Positive catalyst boost (commercial launch)

That combination gives confidence for a short-term swing trade hypothesis: capture momentum leading into the initial sales quarter and watch for follow-up revenue guidance.

Constructing a watchlist and trading rules

A scored watchlist is only useful if paired with disciplined rules. Here are practical rules to convert the screener output into trades:

1. Entry: buy up to a first target at 25–50% of intended position when the composite score exceeds a high threshold and price clears intraday VWAP with volume confirmation.
2. Add-on: add another tranche once the name holds above 20-day SMA and the next-day volume remains > avg20.
3. Stops: set an initial hard stop at -6% to -10% from entry for swing trades; tighten to breakeven after 1 standard ATR move in your favor.
4. Targets: take partial profits at predetermined milestones (10–20% intraday, 20–50% swing), and trail the stop for the remainder.
5. Timeframe: classify as day-trade (news-driven intraday), swing (catalyst-driven, 3–30 days), or event play (hold through a data readout or licensing update).

Advanced signals to improve precision

If you have access to premium feeds, layer these signals to raise the signal-to-noise ratio:

• Options flow: large OTM buys can indicate institutional speculative interest and precede big moves.
• Dark pool prints & block trades: suggest institutional accumulation — confirm with subsequent tape and volume.
• Insider transactions: watch for meaningful purchases by executives or directors during conference weeks.
• Partner announcements: cross-verify with partner press releases to confirm substance beyond hype.

Backtesting and real-world validation

Before you trust a live list, backtest the model across past JPM weeks and late-2025 conference cycles to estimate edge. Key metrics to evaluate:

• Win rate and average return per trade
• Maximum drawdown and worst-case multi-trade exposure
• Sharpe ratio and risk-adjusted return
• False positive rate (noise flagged as tradeable)

Run rolling backtests to account for regime shifts — biotech is sensitive to macro liquidity and regulatory cycles. Use late 2025 and early 2026 data to ensure the screener handles the current environment where AI and China-related themes have amplified attention flows.

Risk controls and avoiding conference traps

JPM generates many short-lived pumps. Use these practical safeguards:

• Reject names with market caps < $50M unless you’re a specialist in microcaps and understand market-making risk.
• Verify the source of the mention — prioritize wire and company press releases over unverified social posts.
• Check short interest and borrow cost: heavy shorts plus sudden volume can create violent reversals.
• Watch for reversal volume — large volume with little price follow-through may indicate distribution by smart money.

How to operationalize: dashboards, alerts, and API flows

Build a lightweight ops stack for live monitoring:

• Real-time data feed (exchange ticks) into a time-series database
• News aggregator (wire + company RSS + SEC filings) with an NLP tagger
• Scoring engine that recomputes composite scores every 5–15 minutes
• Alerting layer: push alerts to mobile and email for top-ranked names; post real-time updates to a Slack channel for your desk
• Historical logging for post-event analysis and compliance

Make alerts actionable: include entry trigger, immediate stop level, suggested position size, and catalyst summary in alert payloads so you can act fast.

What to watch after JPM — the downstream catalysts

Conference buzz rarely stands alone. Monitor the following downstream events post-JPM:

• Follow-up earnings or revenue commentary tied to the conference claims
• Clinical trial updates, FDA communications, or new IDE filings
• Partner and distribution agreements — especially with China or large global players
• Supply chain announcements that affect medtech manufacturing and margins

Use the screener to maintain a prioritized list of names with near-term catalysts. This helps you hold winners and exit noisy, unsupported trades.

Practical checklist for traders and investors

1. Set your universe: biotech + medtech tickers you can trade and understand.
2. Configure volume spike parameters relative to market cap and float.
3. Pull conference mentions and tag catalysts from wires and company releases.
4. Combine signals into a composite score; rank and surface top 10–20 names.
5. Apply entry, stop, and size rules; assign trade timeframes (day/swing/event).
6. Monitor options & dark pool flow for institutional conviction.
7. Backtest and iterate using late-2025 and early-2026 datasets to confirm the model under current market regimes.

Final thoughts — why this approach is timely for 2026

The healthcare sector’s information velocity has never been higher. In 2026, AI-driven discovery, growth in China-related plays, and a rebound in deal activity mean conference weeks like JPM produce concentrated, tradable attention spikes. By combining objective market signals — volume, mentions, and price moves — you convert noise into a prioritized watchlist and disciplined trading ideas.

Call to action

If you want a ready-made starting point, sign up for the shareprice.info JPM 2026 screener. Get a downloadable CSV of top-ranked biotech and medtech names, preset alerts for volume and mention spikes, and a template trading ruleset you can backtest. Turn conference buzz into repeatable, risk-managed trades — start your free trial or export your watchlist now.

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