Heavy Institutional Distribution
Overview
The Heavy Institutional Distribution profile highlights stocks showing persistent institutional selling pressure. It focuses on names with either an extremely negative Accumulation/Distribution Score or Recent Institutional Selling over the last 10 trading days.
This profile is useful for spotting early breakdown candidates, identifying stocks under steady fund liquidation, and removing names with heavy distribution from long watchlists before the weakness becomes obvious.
This profile updates in real time and includes only stocks with strong liquidity, acceptable volatility, and either a very negative Accumulation/Distribution Score (≤ -3) or Recent Institutional Selling in the past 10 trading days.
Strategy Focus
- Identify stocks under heavy institutional selling pressure
- Spot early breakdown candidates before the move becomes obvious
- Track smart money exits in liquid names with real participation
- Use strategy metrics to confirm weak setups
- Add a distribution filter to long-biased watchlists and avoid weaker names
- Compare selling pressure across groups and themes to find broader rotation outflows
Filters Applied
This profile applies structural and behavioral filters to isolate stronger distribution setups:
- Liquidity Rating > 70, ATRP 14D ≥ 0.5, Volatility (Month) ≥ 1: Keeps the list focused on liquid stocks with enough movement to support clean downside behavior.
- Accumulation/Distribution Score ≤ -3 OR Recent Institutional Action = Inst Selling: Requires either persistent institutional distribution over the last quarter or recent selling detected over the last 10 trading days.
These filters keep the profile centered on real institutional exit pressure, not routine weakness.
Metrics Used
Institutional Activity
- Recent Institutional Action: Detects selling behavior over the last 10 trading days and helps flag fresh distribution.
- Accumulation/Distribution Score: Measures buying and selling pressure over roughly one quarter. Scores of -3 indicate especially heavy distribution.
AI Strategy and Setup Quality
- AI - Alpha Strategy: Shows whether current structure supports a short or weak setup.
- AI - Risk/Reward: Helps rank downside setups by the balance between projected reward and risk.
- AI - Path to Target: Shows how much structural support remains beneath current price.
Volume, Liquidity, and Activity
- Volume All Hours: Confirms whether selling is happening with meaningful participation.
- Relative Volume: Helps identify unusual activity that often appears during institutional exits.
- Dollar Volume Rank: Brings the most liquid and widely followed distributed names to the top.
Price Action and Technical Context
- Change Pre Market (%) and Change From Close (%): Show whether selling pressure is already translating into visible weakness.
- RSI Divergence 14 Days: Helps detect weakening momentum or late-stage trend fatigue.
- Universal Pattern Detection: Adds bearish pattern context around the distribution signal.
- Tight Range: Helps identify stocks compressing before a larger move lower.
Group Strength and Broader Context
- Industry Rating 1 Day and Theme Rating 1 Day: Help show whether selling is stock-specific or part of a broader rotation out.
- Industry Rating 1 Year and Theme Rating 1 Year: Add long-term context around where the weakness is developing.
- Relative Strength 1 Day and Relative Strength 1 Year: Help confirm whether the stock is already losing leadership across multiple timeframes.
Fundamental and Timing Context
- MarketAlpha Rating: Adds broader technical and fundamental context to the distribution signal.
- EPS Rating, Sales Rating, Profit Rating: Help show whether selling is happening in weaker names or in names that still look strong on paper.
- 52 Week High (%): Useful for judging how far the stock has already fallen from prior highs.
- Next Earnings In Days: Helps identify whether distribution may be happening ahead of an earnings catalyst.
Default Sorting Logic
Results are sorted by Dollar Volume Rank (ascending) to prioritize the most liquid and actively followed names under institutional selling pressure.
Practical Use Cases
- Find stocks under persistent institutional distribution
- Identify early downside setups before breakdowns fully develop
- Remove names with heavy selling pressure from long-biased watchlists
- Compare distribution across sectors, themes, and trend stages
- Build short watchlists around liquid stocks with clear selling flow
- Track where fund exits align with weakening price action