COMMAND
10 independent derivative, technical, and flow indicators — the institutional trading desk toolkit, delivered to individual investors
COMMAND Overview
Ticker Analysis Center
Command Terminal consolidates 10 independent derivative, technical, and flow indicators into a single screen. Monitor VOL REGIME for current volatility structure, CONVICTION for multi-source data alignment, SHORT SQUEEZE for short-cover risk, and ANALYST TARGET for Wall Street consensus — all in real-time. Delivering the same analytical depth that costs hundreds of thousands at a Bloomberg Terminal.
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Institutional-Grade Analytics
Each indicator derives from an independent data source in real-time. The core of structural analysis lies not in interpreting single indicators, but in cross-validating multiple signals — applying the same multi-source confirmation methodology used by institutional analysts.
VOL REGIME
VolatilityCombines Gamma Exposure (GEX), Implied Volatility (IV), and Squeeze Probability to classify the current market volatility regime into 4 tiers. Quantified as a 0–100 Score derived directly from options dealer hedging structure — the metric institutional risk managers check first.
• STABLE: Dealer hedging tends to revert prices toward VWAP, creating a mean-reversion environment
• COILING: Compressed volatility accumulates energy; breakout moves tend to be amplified
• LOADED/ERUPTING: Dealer short-gamma deepens, creating structural conditions for bi-directional sharp moves
CONVICTION MATRIX
Composite ScoreWeighted aggregation of moving average trends, VWAP position, P/C Ratio, gamma exposure, and options flow — a directional conviction score from 5 independent data sources. Grades A through F to intuitively convey data alignment, implementing institutional multi-source confirmation methodology.
• Grade A: All 5 data sources converge in the same direction, structurally elevating trend continuation probability
• Grade C: Data conflict detected — a transitional state with low directional confidence
• Grade F: Multiple sources converge bearish, indicating structurally elevated downside risk
VWAP
Institutional BenchmarkThe deviation (%) between Volume-Weighted Average Price and current price. The industry-standard execution benchmark used by institutional participants to measure execution quality — its sign and magnitude reveal short-term supply/demand structure. A core reference at global hedge fund trading desks.
• +2% deviation: Average participants hold significant unrealized gains; profit-taking supply likely
• ±0.5%: VWAP battleground zone — whether close forms above or below VWAP is the key observation
• −2% deviation: Average participants underwater; additional decline may trigger stop-loss cascades
SHORT SQUEEZE
Short RiskAggregates Short Interest (SI%), Days to Cover, and short volume concentration to classify squeeze probability into tiers. Quantifies the potential magnitude of involuntary buying demand when forced covering occurs — a mandatory monitoring element in institutional risk management systems.
• HIGH/CRITICAL: Price increases can cascade forced covering, triggering non-linear rallies through self-reinforcing loops
• Positive momentum + HIGH SI%: Price rise triggers covers, covers trigger further rises — a self-reinforcing feedback loop
• LOW: Short interest impact on price is negligible; prioritize fundamental and technical analysis
ANALYST TARGET
ConsensusDisplays analyst opinion distribution and 12-month price target consensus (Average/High) from major investment banks and research houses. Tracks the 5-tier distribution alongside Wall Street's collective research judgment in real-time.
• 12-Month Target: Assess upside potential through the gap between current price and analysts' average (Target) and highest (High) price targets
• Buy 90%+: Research community outlook extremely converged — strong consensus serves as a medium-term bullish foundation
• Buy 50–70%: Dispersed opinions suggest data permits multiple interpretations — an uncertain phase
RELATED
Correlated PeersDisplays real-time performance of industry peers with high statistical correlation. Instantly distinguish sector-wide capital flows from individual stock events — delivering the same correlation analysis that institutional traders monitor continuously.
• Sector co-movement: Macro/sector flows dominate price action over individual fundamentals
• Leader-only advance: Intra-sector rotation underway; whether it spreads to laggards is the key question
• Decoupling: Stock-specific catalyst overrides sector trend
INST RADAR
Institutional FlowCombines dark pool trading ratios and block trade frequency to classify institutional Accumulation/Distribution patterns into 3 tiers. Infers institutional positioning intent invisible to public markets — data typically accessible only through institutional-only terminals.
• ACCUMULATION: Large volumes aggregating off-exchange, indicating non-public institutional buying intent
• DISTRIBUTION: Institutional supply entering the market; selling may continue even during rallies
• NEUTRAL: Institutional participation at normal levels; retail flow plays the dominant price-setting role
TREND PHASE
Trend DiagnosisDiagnoses the current trend phase based on SMA 50/200 crossover state. Golden Cross and Dead Cross are the technical reference points institutional portfolio managers use for medium-to-long-term asset allocation — SIGNUM delivers these with real-time levels and deviation percentages.
• Golden Cross: 50-day average crossed above 200-day — technical confirmation of medium-term bullish momentum
• Dead Cross: 50-day average fell below 200-day — technical warning of medium-term bearish transition
• SMA gap within 3%: Two averages converging, crossover imminent — a transitional zone
FUNDAMENTAL
Financial AnalysisComposite financial health score integrating P/E, ROE, free cash flow, revenue growth, operating margin, and debt ratio. Automated quantitative analysis applying institutional analyst valuation frameworks — instantly accessible as 0–100 / A–F grade.
• Grade A: Growth, profitability, and stability all strong — structural fundamental advantage confirmed
• Grade B: Most metrics solid but specific areas require attention — a mixed picture
• Grade C−: Structural financial vulnerabilities confirmed; price likely driven by speculative flow
EARNINGS
Earnings ScheduleDisplays the next quarterly earnings date and time (BMO/AMC), estimated EPS, and the recent quarter's Earnings Surprise (Beat/Miss). It features an Est EPS mode before the announcement that automatically transitions into a real-time Actual EPS mode on the release day, offering a Bloomberg Terminal-level experience.
• BMO / AMC: Specifies whether the announcement is Before Market Open or After Market Close, helping you time the volatility phase
• Pre-Release (Est EPS): Evaluates the structure by referencing next quarter's estimated EPS alongside the surprise (Beat/Miss %) recorded during the last announcement
• Post-Release (Actual EPS): Switches automatically to Actual mode on release day, instantly exposing the magnitude of the current quarter's Beat/Miss
IV SKEW
Volatility AsymmetryQuantifies the implied volatility differential between call and put options. Reveals the directional premium bias paid by market participants, reflecting the real-time balance between institutional hedging demand vs speculative positioning. Skew direction exposes the risk asymmetry as perceived by the options market.
• PUT RICH: Elevated put premiums signal active institutional downside protection — heightened latent risk perception
• CALL RICH: Elevated call premiums indicate concentrated upside speculation — monitor for reversal potential at extremes
• Rapid skew reversal: PUT→CALL or reverse within 24h signals structural directional shift in institutional positioning
GAMMA FLIP LEVEL
The Most Critical Options-Derived Price Level
Gamma Flip Level is the price point where dealer gamma exposure transitions from long to short. At this boundary, dealer hedging direction reverses — above it, dealers hedge against price movement (stabilizing); below it, they hedge in the same direction (amplifying). A core reference level at institutional options desks — SIGNUM delivers it to individual investors in real-time.
Price > Gamma Flip → Dealers hedge against price movement → Natural braking force on price swings. A volatility-suppressed range environment forms.
Price < Gamma Flip → Dealers hedge in the same direction as price → Price moves become self-reinforcing. A volatility-amplified momentum environment forms.
Price History Chart
Overlays Call Wall, Max Pain, Put Floor, and Prev Close levels on a multi-timeframe price chart. Instantly visualize support/resistance zones defined by options structure. Switchable across 1D/5D/1M/6M/1Y/All — integrating institutional-grade options level analysis directly into the chart.
SIGNAL CORE
Composite signal analysis engine. Displays detected structural events (Golden Cross, IV Spike, Consensus Shift) as summary badges. After market close, auto-generates AI comprehensive analysis reports combining SMA, news, and flow data.
FLOW UNIT
Tracks real-time options capital flows. Combines Call/Put premium differential (Net Premium) with execution intensity (Volume Strength) to capture large participant directional positioning in real-time — a core feature delivering institutional options flow data to individual investors.
TACTICAL RANGE & NET GAMMA ENGINE
Provides structural price levels derived from options open interest and gamma profile analysis. Support/Resist/Max Pain define the short-term price range while Net GEX direction and Gamma Flip structurally classify the current market environment.
GEX TIMELINE 30D / TECH LEVELS / IV SKEW / 13-F
4-Tab Analytical Intelligence Panel
The core analytical panel of the Command terminal. Four independent tabs illuminate market structure from different time horizons and analytical perspectives. Each tab delivers the same caliber of analysis referenced daily by institutional trading desks.
Visualizes 30 days of Gamma Exposure (GEX) evolution as a time series. Long-gamma ↔ Short-gamma transitions (Gamma Flip events) are automatically annotated on the timeline, revealing regime transition frequency and patterns that contextualize the current volatility regime. Each transition is marked with NEG→POS / POS→NEG badges and the price at transition.
SMA50, SMA200, VWAP, Max Pain, Call Wall, Put Floor, Gamma Flip — 7 technical and derivative levels arranged on the price axis to visualize the structural position of current price. Real-time deviation (%) to each level is computed, delivering the core support/resistance map referenced by institutional traders.
Visualizes call/put implied volatility across strike prices as a curve. The slope and shape of skew on each side of ATM reveals the directional risk perception asymmetry of options market participants. Deepening put skew indicates institutional hedging demand for tail risk, while call skew steepening signals speculative upside demand.
Surfaces institutional investor positions derived from quarterly SEC Form 13-F filings. Displays share counts, market values, and portfolio weight for each reporting institution, enabling assessment of ownership concentration and structural positioning. Shifts in large institutional holdings serve as leading indicators for medium-to-long-term directional conviction.
GEX TIMELINE 30D — Deep Dive
Per-Ticker 30-Day Gamma Exposure Historical Analysis
Tracks the evolution of each ticker's gamma structure through 30 days of daily GEX data accumulated in DynamoDB. Delivers SpotGamma-tier ($300+/mo) historical GEX tracking that is typically gated behind expensive institutional data subscriptions.
A. Percentile / Regime
Visualizes the current GEX value's percentile within the 30-day distribution on a gradient gauge. The spectrum spans from Negative GEX (left) to Positive GEX (right) with the current position marked.
B. Regime Persistence
Compares the current POSITIVE/NEGATIVE regime's consecutive session count against the historical average duration for that regime. A Current-to-Average ratio exceeding 1.5× structurally indicates regime fatigue.
• Extended beyond average (1.5×+) — Elevated volatility magnitude at regime transitions
• Below average — Additional regime persistence structurally possible
Key Levels
Displays Call Wall (overhead resistance) and Gamma Flip Level (regime transition pivot) extracted from the 30-day history as card-format metrics.
• Call Wall — Maximum call OI concentration price. The percentage of 30-day sessions where price remained below this level (Hit Rate) is displayed alongside.
• Gamma Flip Level — The price historically coinciding with dealer hedging regime transitions. Dealer gamma exposure switches between long ↔ short at this boundary.
Flip Events (Regime Transitions)
Records POSITIVE ↔ NEGATIVE regime transitions within the 30-day window. Each event displays the transition date, direction (NEG→POS / POS→NEG), and price at transition.
• NEG→POS — Short gamma to long gamma transition; stabilization regime begins
• POS→NEG — Long gamma to short gamma transition; volatility amplification regime begins
Dynamic Insight
Auto-generates 3 multi-line insight statements from accumulated 30-day data. Regime status, Call Wall accuracy, and Gamma Flip Level context are delivered in compliance-safe language.
GEX value + percentile + consecutive regime session count summary
Call Wall price + historical accuracy (hit rate) quantified
Gamma Flip Level + historical regime transition context
• Percentile 75th+ + Long POSITIVE Streak → Dealer gamma structure sustainably stable; range-bound observation in volatility-suppressed environment
• Percentile ≤ 10th + Multiple Flip Events → Extreme short gamma with frequent regime transitions; bi-directional sharp movement risk at structural maximum
• Call Wall Hit Rate ≥ 80% + CW Trend ↑ → High resistance reliability + institutional upward positioning; current structural analysis accuracy elevated
13-F INSTITUTIONAL HOLDINGS — Deep Dive
SEC Form 13-F Based Institutional Ownership Analysis
Tracks quarterly equity positions of institutional investors managing over $100 million in assets, based on mandatory SEC Form 13-F filings. From the world's largest asset managers — Vanguard, BlackRock, State Street — to hedge funds and pension funds, SIGNUM delivers institutional positioning shifts directly to individual investors.
What is a 13-F Filing?
SEC Form 13-F is a mandatory quarterly report filed by institutional investment managers with assets under management (AUM) exceeding $100 million. Required under Section 13(f) of the Securities Exchange Act of 1934, it publicly discloses institutional equity positions as a regulatory mechanism for market transparency.
Filing Obligation: AUM $100M+ institutional managers — mutual funds, hedge funds, pension funds, insurance companies, bank trust departments
Filing Deadline: Within 45 days of quarter end (e.g., Q1 due by May 15)
Reported Data: Equity holdings, share count, market value, voting authority type
Data Points Provided
SIGNUM processes 13-F data collected from SEC EDGAR to deliver per-institution ownership profiles in an intuitive format.
Interpretation Framework
13-F data provides quarterly snapshots; structural insight precision increases significantly when cross-referenced with SIGNUM's real-time indicators rather than used in isolation.
Multiple large institutions simultaneously increasing positions → Institutional accumulation structure indicated
Multiple institutions simultaneously reducing positions → Institutional distribution structure indicated
Top 10 institutions holding 50%+ combined → High ownership concentration means large institutional position changes carry structurally outsized price impact
13-F accumulation pattern + INST RADAR ACCUMULATION + CONVICTION Grade A simultaneous confirmation → Institutional execution and research views aligned in the same direction — a powerful structural consensus
Important Limitations
Structural limitations that must be understood when interpreting 13-F data.
45-Day Lag: Filed within 45 days after quarter end, meaning published positions may reflect holdings up to 4.5 months old. Current holdings may differ materially.
Quarterly Snapshot: Reflects holdings at a single point in time (quarter end). Intra-quarter trading activity (e.g., round-trip trades, mid-quarter buys followed by sells) is not captured.
Incomplete Positions: Short positions, most options, bonds, and foreign securities are excluded from 13-F reporting. Therefore, the filing does not reflect an institution's complete positioning.
Confidential Treatment: Some institutions may request SEC confidential treatment to delay disclosure of specific positions.
• Top 5 institutional holdings increasing + multiple new entrants QoQ → Structural institutional accumulation underway; reliability increases when cross-confirmed with INST RADAR ACCUMULATION signal
• Large institution position cuts (>20%) + institutions exiting entirely QoQ → Structural institutional departure observed; strengthened distribution signal when accompanied by declining dark pool ratios
• Growing number of institutional holders + stable average position weight → Broadening institutional participation with diversifying ownership structure. A positive signal as single-institution concentration risk decreases
SEC FORM 4 INSIDER TRADING — Deep Dive
SEC Form 4 Based Insider Transaction Intelligence
SEC Form 4 mandates that corporate insiders (officers, directors, 10%+ shareholders) disclose equity transactions within 2 business days. SIGNUM collects and analyzes these filings in real time to deliver structural signals derived from insider behavioral patterns directly to individual investors.
What is Form 4?
Under Section 16(a) of the Securities Exchange Act, insider equity transactions must be reported to the SEC within 2 business days. Unlike 13-F filings (45-day lag), Form 4 provides near-real-time disclosure, making it the fastest regulatory data source for capturing insider conviction levels.
Filing Obligation: All equity transactions by officers (CEO/CFO/COO), board members, and 10%+ beneficial owners
Transaction Codes: P (open market purchase), S (open market sale), A (stock option exercise), M (option conversion) — distinguishing transaction types
10b5-1 Distinction: Pre-scheduled automatic trades (Rule 10b5-1) are clearly separated from voluntary discretionary trades, differentiating signal quality
Academic Research Foundation
The informational value of insider trading has been empirically validated through decades of academic research.
Seyhun (1986, Journal of Financial Economics) — Statistically significant abnormal return patterns have been documented following insider transactions, with particularly stronger patterns recorded for voluntary purchases by C-level executives
Lakonishok & Lee (2001, Review of Financial Studies) — Insiders exhibit contrarian investment patterns, with purchase signals showing higher informational value in smaller-capitalization stocks. In large-cap stocks, the informational value has been recorded as comparatively limited
Cluster Buying — When multiple insiders purchase simultaneously within a compressed window, subsequent abnormal return patterns have been recorded at higher intensity compared to single-insider purchases
SIGNUM Analysis Methodology
SIGNUM collects the trailing 90 days of Form 4 filings, synthesizing buy/sell counts, net transaction value, and 10b5-1 plan status to auto-compute a 4-tier Sentiment classification.
AI Deep Analysis Integration
Insider transaction data is integrated as the 4th analytical axis (INSIDER ACTIVITY) in AI Deep Analysis. The AI engine cross-analyzes technical structure, options positioning, and news context alongside insider behavioral patterns to deliver more precise structural diagnostics.
Interpretation Framework
C-level voluntary purchase — When executives purchase with personal capital outside of pre-arranged plans, it is interpreted as reflecting high conviction in the company's internal outlook
Cluster buying (multiple insiders purchasing simultaneously) — Observed as a signal with structurally higher reliability compared to individual purchases
Voluntary large-scale selling — Discretionary sales not governed by 10b5-1 plans may suggest shifts in insider short-term outlook
10b5-1 plan sales — Pre-scheduled automatic transactions; the timing itself is interpreted as having limited informational value
Structural Limitations
Limitations that must be understood when interpreting insider transaction data.
Disclosure Lag: Filed within 2 business days of transaction, so up to 2 days of latency may exist
Sell Noise: A significant portion of insider selling is driven by non-informational motivations such as tax obligations, portfolio diversification, and personal liquidity needs
Large-Cap Limitation: Per Lakonishok & Lee (2001), the informational value of insider purchases in large-cap stocks has been observed as limited compared to small-cap stocks
This data represents observation and quantification of market structure and does not constitute investment advice or trade recommendations
• C-level voluntary purchase + cluster buying pattern → High structural conviction from management; reliability strengthens when cross-confirmed with CONVICTION Grade A
• Multiple insiders voluntarily selling large positions + non-10b5-1 → Insider short-term outlook shift observed; institutional departure structure strengthens when accompanied by INST RADAR DISTRIBUTION
• Insider activity NEUTRAL + 13-F institutional accumulation pattern → External institutional conviction observed even in the absence of insider activity. The divergence between institutional and insider perspectives warrants attention
AI DEEP ANALYSIS
Claude S4 — Institutional-Grade AI Analysis
An institutional-grade AI analysis engine powered by Claude Sonnet 4. Cross-processes options structure, technical indicators, insider transactions, and news context across 4 independent analytical axes to deliver comprehensive structural diagnostics. Each analysis cycle auto-computes a RISK tier (LOW/MEDIUM/HIGH/CRITICAL) with next update ETA displayed in real-time.
Converges all analytical axis outputs into a single directional judgment. BULLISH/NEUTRAL/BEARISH direction with 1-2 sentence core rationale summary, supplemented by AI commentary that enriches interpretive context.
TECHNICAL STRUCTURE ANALYSIS — Moving average crossovers, support/resistance levels, and trend structure synthesized into technical structural analysis
OPTIONS POSITIONING — Put Floor, Gamma Flip, options chain concentration, and GEX regime-based derivative positioning analysis
INSIDER ACTIVITY (SEC Form 4) — C-level voluntary buy/sell patterns, 10b5-1 plan distinction, and cluster purchase detection for insider behavioral analysis
NEWS & MARKET CONTEXT — AI cross-analyzes real-time news and market context to assess sentiment and catalysts
Structural Analysis Workflow
4-Step Process
Systematize Command's 10 indicators into a 4-step framework for multi-dimensional market structure analysis. Adapts the actual analytical process used by institutional trading desks for individual investors.
Step 1: Volatility Regime Assessment
Check VOL REGIME's 4-tier grade and CONVICTION's composite score first. Understanding whether the market is in a Stable/Transitional/Explosive volatility regime and which direction data align forms the foundation for all subsequent analysis.
Step 2: Directional Structure Confirmation
Review TREND PHASE crossover state and VWAP deviation. Confirm whether technical trend and short-term supply/demand benchmark point the same direction or conflict.
Step 3: Risk Environment Evaluation
Check SHORT SQUEEZE risk tier and EARNINGS D-Day. High SI% + imminent earnings creates compound catalyst conditions for bi-directional sharp moves.
Step 4: Institutional Participation Structure
Review INST RADAR's Accumulation/Distribution signals and FLOW UNIT's Net Premium direction. Infer institutional positioning through cross-analysis of dark pool, block trade, and flow data.
⚠️ Risk Disclosure & Disclaimer
All information provided (including indicators, signals, and analysis results) represents quantitative analysis of market data and does not constitute investment advice, trade directives, or personalized recommendations. Financial investments carry the risk of principal loss. Past data and indicators do not guarantee future returns. All investment decisions are made under the user's own responsibility.