Historical Options Analytics
Study the past to understand the present
Daily analytics show today’s positioning. Flow shows real-time trades. Historical analytics show how everything evolved over time.
This is where you study past patterns, backtest ideas, and understand what happened before major moves.
Availability: All plans (Delta and higher)
The 11 Historical Charts
| Chart | What It Answers |
|---|---|
| Volatility Metrics | Is IV high or low historically? |
| Skew & Term Structure | How has risk pricing changed? |
| Delta & Gamma Exposure | How did GEX/DDE evolve? |
| Net Greeks | What’s the aggregate positioning? |
| Expected Move | Did IV predict actual moves? |
| Market Momentum | Is momentum building or fading? |
| Max Pain | Where did price finish vs max pain? |
| Market Sentiment | What’s the crowd thinking? |
| Put/Call Ratios | How has sentiment shifted? |
| VIX-Style Metrics | Stock-specific volatility index |
| Trading & Arbitrage | Premium flow and yield metrics |
Date Range Selection
| Range | Best For |
|---|---|
| 3 months | Recent trends |
| 6 months | Medium-term patterns |
| 1 year | Full market cycle |
| 2 years | Extended analysis (default) |
Key Features
Data Visualization
| Feature | Description | Use Case |
|---|---|---|
| Price Overlay | Stock price shown alongside options metrics | Correlate options data with price action |
| Statistical Rankings | Percentile and Z-score calculations | Identify extreme readings |
| Trend Indicators | Moving averages and momentum signals | Spot trend changes early |
| Sparkline Widgets | Mini charts for quick metrics | At-a-glance current values |
| Multi-Metric Charts | Multiple data series on one chart | Compare related metrics |
| AI Analysis | Click ✨ for instant explanations | Understand complex patterns |
Statistical Metrics Explained
IV Rank (0-100%):
- Compares current IV to its 52-week range
- 80%+ = IV near historical high (expensive options)
- 20%- = IV near historical low (cheap options)
IV Percentile (0-100%):
- Shows percentage of days where IV was lower than today
- More robust than IV Rank (not affected by single spike)
Z-Score:
- Measures how many standard deviations from the mean
- +2 = Two standard deviations above mean (very high)
- -2 = Two standard deviations below mean (very low)
- 0 = At the mean (average)
Chart Types
Sparklines: Quick reference mini-charts
- Show current value and trend
- No axes for clean appearance
- Perfect for dashboards
Candlestick Charts: Detailed time series
- OHLC data for each period
- Volume bars at bottom
- Multiple overlays available
Line Charts: Trend visualization
- Clean, simple trend lines
- Multiple series comparison
- Statistical overlays (MA, bands)
Rank Charts: Percentile tracking
- Shows relative positioning
- Color-coded zones (high/low)
- Historical context
Use Cases & Examples
Volatility Trading
Goal: Find optimal times to sell/buy premium
Workflow:
- Check IV Rank chart (target 80%+ for selling, 20%- for buying)
- Review IV Percentile for confirmation
- Compare IV to Realized Volatility (IV-RV spread)
- Check Vol of Vol (stable = better for selling)
- Review historical IV mean reversion patterns
Example Strategy:
- IV Rank >80% + IV > RV20 = Sell iron condors
- IV Rank <20% + IV < RV20 = Buy straddles/strangles
Event Analysis (Earnings)
Goal: Understand typical earnings patterns
Workflow:
- Load 2-year history including past earnings
- Mark earnings dates on charts
- Study IV behavior 30 days before/after
- Analyze GEX changes around earnings
- Review sentiment shifts (P/C ratios)
Typical Pattern:
- IV rises 30 days before earnings
- GEX increases (positioning)
- IV crushes 30-50% post-earnings
- GEX normalizes within days
Sentiment Tracking
Goal: Identify extreme sentiment for contrarian plays
Workflow:
- Monitor Put/Call ratio charts
- Check sentiment analysis indicators
- Review risk reversal (25-delta)
- Track tail risk indicator
- Compare to historical extremes
Contrarian Signals:
- P/C Ratio >1.5 = Extreme fear (potential bottom)
- P/C Ratio <0.5 = Extreme greed (potential top)
- Tail Risk >90th percentile = Panic (buy opportunity)
Risk Assessment
Goal: Understand current volatility regime
Workflow:
- Check VIX 30d and VIX Rank
- Review term structure slope
- Analyze gamma exposure trends
- Check vol of vol (volatility stability)
- Compare to historical regimes
Regime Classification:
- Low Vol: VIX <15, Positive GEX, Low Vol of Vol
- Normal: VIX 15-25, Mixed GEX, Moderate Vol of Vol
- High Vol: VIX 25-35, Negative GEX, High Vol of Vol
- Crisis: VIX >35, Very Negative GEX, Extreme Vol of Vol
Pattern Learning
Goal: Study what happened before major moves
Example Questions:
- “What did GEX look like before that gamma squeeze?”
- “How did skew behave before the crash?”
- “What was P/C ratio at the top?”
- “Did IV predict the actual move?”
Research Workflow:
- Identify the event date
- Load 6-month history centered on event
- Review all 11 chart categories
- Note patterns in 30 days before event
- Document findings for future reference
Backtesting Ideas
Goal: Validate trading strategies historically
Workflow:
- Define entry criteria (e.g., IV Rank >80)
- Define exit criteria (e.g., IV Rank <50)
- Scan historical charts for matches
- Note outcomes (profit/loss)
- Calculate win rate and average return
Example Backtest:
- Strategy: Sell 30-delta strangles when IV Rank >75
- Exit: Close at 50% profit or IV Rank <40
- Review: Check all instances in past 2 years
- Result: Document win rate, avg return, max loss
How to Navigate
Quick Start
- Search for a stock symbol
- Select “Historical Analytics” from sidebar
- Choose from 11 chart categories
- Adjust date range (3mo, 6mo, 1yr, 2yr)
- Analyze patterns and trends
Advanced Navigation
Compare Multiple Timeframes:
- Open multiple browser tabs
- Set different date ranges
- Compare patterns across periods
Pro Tips
- Start with sparklines: Get quick overview of all metrics
- Drill into details: Click sparkline to see full chart
- Use date range shortcuts: Quick access to common periods
- Compare to price: Always overlay stock price for context
- Check multiple stocks: Compare patterns across similar stocks
- Note correlations: How do metrics relate to each other?
- Document patterns: Save screenshots of interesting patterns
- Set reminders: Note when to check back (e.g., before earnings)
Remember: Historical patterns are probabilities, not certainties. Markets evolve. Past performance doesn’t guarantee future results.
