Options Flow • Dark Pools • Scanners • Institutional Tracking • Trading Setups

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INTRODUCTION TO UNUSUAL ACTIVITY TRADING

Options Flow vs. Dark Pool Data

• Options flow = real-time stream of institutional-level options orders (sweeps, blocks, multi-leg orders). It shows where aggressive money is positioned.

• Dark pool data = off-exchange equity transactions. It reveals hidden buying/selling pressure not immediately reflected in the public tape.

• Together they provide a dual-lens:

  • Options flow → sentiment, speculation, hedging behavior
  • Dark pools → accumulation, distribution, liquidity absorption

Institutional Activity Impact

• Institutions use options for leverage and hedging, creating large sweeps that distort retail pricing.
• They use dark pools to hide size and avoid moving the market.
• Retail traders benefit by observing direction, speed, volume, and clustering of trades.

Unusual Whales Platform Overview

Key modules used by professionals:

• Flow Dashboard
• Dark Pool Feed & DP Levels
• Scanners (custom rules)
• Heat Maps
• Historical Flow
• Whales Alerts
• Chains & IV Tools
• ETF/Insider/Hedge Fund Trackers

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CASE STUDY 1: SETTING UP REAL-TIME FLOW ALERTS

1. Configure Filters for Significant Activity

Go to: Flow → Filters

Use the following professional filter template:

Setting	Recommended Value
Trade Type	Sweeps + Blocks only
Premium	> $50,000 (conservative) or > $250,000 (aggressive)
Expiration	0–45 days (short-term directional bets)
IV	> 20% change (unusual activity)
Delta	0.15–0.75 (avoid extreme hedges)
Flow Direction	Calls or Puts (choose based on bias)
Exclude	ETF flows (optional)

Pro tip: Enable "Repeat Buyer" & "Whale Activity" toggles.

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2. Setting Up Alerts (SMS, Email, Push)

Navigation: Alerts → Create Alert

Preset:

• "Large Bullish Sweeps"

  • Premium > $200K
  • Exp < 14 days
  • Ask-side only
  • SMS + Push

• "Bearish Flow Surge"

  • Put sweeps
  • Premium > $150K
  • Multi-exchange
  • Email summary every 15 minutes

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3. Creating Ticker Watchlists

Example watchlists:

• Mega-cap tech: AAPL, NVDA, TSLA, MSFT
• Event-driven: SNAP, AMD, NIO, BABA
• Volatility basket: SPY, QQQ, IWM, VIX

Assign each watchlist its own alert presets for clarity.

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4. Real Example: Tracking TSLA Options Flow (fictionalized but realistic)

A typical bullish sequence during a momentum run:

• TSLA – 0DTE call sweep

  • Strike: 250c
  • Premium: $1.2M
  • Side: Ask
  • Delta: 0.42
  • Notes: High urgency

Followed 3 minutes later by:

• TSLA – 2DTE call sweep

  • Premium: $480K
  • Spread: Wide → aggressive buyer
  • Multi-exchange execution

Interpretation: Momentum-based directional rush. Signal strength: High, especially if clustered.

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5. Interpreting Block Trades & Sweeps

• Sweeps = urgency and directional conviction

• Blocks = negotiated; often hedges or liquidity trades

  • If block + at ask → real buying
  • If block + mid → hedge
  • If block + bid → sell/unwind

Clustered sweeps = strongest signal.

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CASE STUDY 2: DARK POOL ANALYSIS & INTERPRETATION

1. Reading Dark Pool Prints

Key data fields:

• Price
• Size
• DP level
• Relative volume
• Premium
• Time clusters

High-level rule:

• Above current price → bearish (selling liquidity)
• Below current price → bullish (accumulation discount)

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2. Identifying Accumulation vs. Distribution

Look for:

Accumulation:

• Multiple prints below spot
• Large premiums (>$50M)
• Clusters over days (slow hand buying)

Distribution:

• Prints above spot
• Increasing frequency before major events
• Heavy volume at round numbers (e.g., 500, 250, 420)

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3. Correlating Dark Pools With Options Flow

Best practice:

• Dark pool build-up + call sweeps = strong bullish signal
• Distribution + put sweeps = strong bearish signal

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4. Example: SPY During FOMC Week

(Realistic pattern, numbers fictionalized)

• Dark pool clusters at 512.40, $480M total premium → Accumulation zone

• Options flow:

  • Repeated SPY 515c sweeps
  • 2–5 DTE
  • $350–700K per sweep

• Outcome: SPY closed above 515 after Powell remarks.

This is a classic UW institutional alignment setup.

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5. Alerts for Dark Pool Activity

Filter settings:

• Premium > $50M
• DP level repetition ≥ 3 prints
• Alerts for “DP Level Created” + “DP Level Broken”

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CASE STUDY 3: BUILDING CUSTOM SCANNERS

1. Delta/Volume-Based Scanner

Example rule set:

• Delta 0.25–0.65
• Volume ≥ 5x average
• OI increase > 20% day-over-day
• IV rank > 35

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2. Setting Up Heat Maps

Use:

• Top Premium by Ticker
• Flow Direction Map (Bull vs Bear)
• Expiration Heat Concentration

This identifies sector rotation moments.

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3. Sector-Specific Flow Monitor

Example sectors:

• Semis (NVDA, AMD, AVGO)
• Financials (JPM, GS, MS)
• Energy (XOM, CVX, SLB)

Scan rules:

• Premium > $200K
• Exp < 21 days
• IV spike > 10%
• Ask-side sweeps

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4. Historical Flow Tools

Use to review:

• Highest premium days
• Repeated whale buyers
• Flow–price correlations
• Earnings week behavior

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5. Practical Example: Meme Stock Scanner

Settings:

• Premium > $30K
• Exp < 5 days
• Volume > 3x OI
• Only sweeps
• Only single-leg orders
• Tickers: GME, AMC, BBBYQ, CVNA

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CASE STUDY 4: OPTIONS CHAIN ANALYSIS

1. Professional Chain Reading

Key metrics:

• IV & IV crush risk
• Skew (put-heavy vs call-heavy)
• Delta stack (where dealers hedge)

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2. OI & Volume

Signals:

• Rising OI + rising volume → trend continuation
• High volume, no OI change → intraday scalping
• Declining OI → position exit

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3. Put/Call Ratio

• <0.8 = bullish

• 1.3 = bearish

• 1.0–1.2 = neutral / hedging

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4. Max Pain

Used for:

• Earnings week pinning
• End-of-week expiry manipulations

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5. Example: Earnings Setup

Stock: AMD

• Heavy 120c sweeps
• IV elevated to 78%
• Max pain at 112 Interpretation:
• Expect volatility but not necessarily direction
• Wide-range straddles or verticals preferred

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ADVANCED CONFIGURATION

Institutional Tracking Tools

• 13F insights
• Insider buys correlated with call flow
• ETF creation/redemption (SPY, QQQ)
• Market maker gamma positioning

UW’s ETF tab helps track where liquidity is flowing.

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Risk Mgmt Integration

Stop-loss placement:

• Below dark pool accumulation levels
• Below repeated sweep entry zones

Position sizing:

• Larger when DP + flow agree
• Smaller when only flow appears (higher noise risk)

Technical correlation:

• Combine DP levels with VWAP, major MAs
• Options flow confirms breakout or rejection zones

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TRADING SETUPS

Day Trading With Flow

Premarket routine:

• Check overnight DP prints
• Scan for 0DTE/1DTE sweeps
• Identify highest premium tickers

Intraday flow divergence:

• Price down but call sweeps rising → reversal potential
• Price up but put sweeps rising → exhaustion

End-of-day pattern:

• Large put hedges into close → fear / event hedge
• Bullish sweeps near close → confidence into next day

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Swing Trading

• Weekly flow clusters → strong directional bias
• Earnings flow → mostly hedges (ignore unless overwhelming)
• Sector rotation → follow ETF flows
• Long-term accumulation → DP clustering + leaps call buying

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DATA INTERPRETATION GUIDELINES

Hedge vs. Speculation

Hedge signs:

• Deep ITM options
• Multi-leg orders
• Mid-price executions

Speculation signs:

• OTM sweeps
• Short expirations
• Ask-only executions
• Clusters at round numbers

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Avoiding False Signals

• Ignore isolated trades
• Ignore trades <$20K
• Confirm with DP data
• Check if flow contradicts macro trend

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Volume vs Open Interest

• Volume > OI → fresh interest
• OI >> volume → old interest, may be stale

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Expiration Considerations

• 0DTE: noise but high signal when clustered
• Weeklies: best for swing predictions
• Monthlies: institutional hedging territory

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INTEGRATION WITH OTHER TOOLS

TradingView

• Overlay DP levels
• Use alerts from UW + chart confirmation
• Mark flow clusters as S/R

Spreadsheet Export

• Build custom models:

  • Premium tracking
  • Repeated buyer ID
  • Sector rotation maps

API Integration

• Auto-scan
• Auto-alert distribution
• Backtesting flow patterns

Mobile App Optimization

• Only enable high-priority channels
• Disable ETF noise
• Use custom watchlists to avoid overload

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BEST PRACTICES

• Always confirm 3+ signals before trading (flow + DP + chart).
• Avoid reacting to the first sweep → wait for clusters.
• Journal: ticker, flow pattern, outcome.
• Do weekly flow reviews.

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LIMITATIONS & ENHANCEMENTS

• Flow can be noisy, especially 0DTE.
• DP print timestamps can be delayed.
• Combine with competitor data (SpotGamma, CheddarFlow, FlowAlgo).
• Premium-level UW features unlock the most accurate data.