Flow Regime Dashboard
Gamma + vanna + charm aligned into one institutional market-state read
Stable / Choppy / UnstableFlip AlignmentDealer Flow State
Filter Stack
Symbol
NIFTY
Expiry
Date
ATM Anchor
Auto ATM
Follow latest spot
Strike Window
+/- 10 strikes
Volatility Trigger
Static from first snapshot
When enabled, trigger sweep uses the first timestamp of the selected session. Other charts keep current/live behavior.
Live Snapshot Context
Spot-
Lot Size (Charm only)50
Snapshots0
Backtest
Live Updates
Desk Snapshot
Current Desk State
Monitoring
Waiting for enough live structure to classify state quality.
Data Quality
11
Fragile confidence
Snapshot Age
-
No timestamp available from the latest option-chain snapshot.
Snapshot Cadence
-
Median spacing between visible snapshots
Strike Coverage
0%
Selected strikes inside active chain
Key Levels Board And Change Tape
| Level | Value | Gap | Gap % | Interpretation | Action Cue |
|---|
Spot Change: -
Waiting for another snapshot to compute change.
No option-chain snapshots were available for the current selection.
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Understanding Flow Regime Dashboard
This page compresses three different dealer-flow channels into one operating-state map. Gamma approximates whether hedging tends to oppose or reinforce spot moves. Vanna measures how hedge ratios change when implied volatility reprices. Charm measures how delta drifts as time passes, which matters most as expiry approaches. The goal is not to predict direction mechanically, but to classify whether current structure is likely to be more stable, noisy, or unstable.
Core Ideas
Stable
Positive gamma plus clean flip separation usually compresses realized volatility and favors better mean-reversion quality.Choppy
When spot trades close to multiple flips, hedging flow changes quickly and trend quality usually degrades.Unstable
Negative gamma with hostile vanna/charm alignment can amplify intraday range expansion and punish late fades.How To Read The Charts
Composite Regime Readout
What it shows: The dominant market state after combining aggregate gamma, vanna, charm, and the distance of spot from the nearest regime boundaries.
How to use it: Treat it as a state filter before trade selection. Stable states usually support cleaner fades and reversion trades, while unstable states demand tighter stops and stronger continuation confirmation.
Watch for: The regime can degrade quickly when spot compresses near multiple flips or when event-driven volatility reprices the entire chain intraday.
Flip Alignment Ladder
What it shows: Gamma Flip, Vanna Trigger, and Charm Flip plotted against current spot so you can see whether price is sitting inside a clean state or in a conflict zone.
How to use it: When spot is stacked close to two or more flip levels, reduce size and wait for acceptance rather than assuming immediate follow-through.
Watch for: A flip is a regime boundary, not a standalone signal. Price still needs volume, breadth, and liquidity confirmation.
Normalized Dealer-Flow Alignment
What it shows: Strike-by-strike alignment of gamma, vanna, and charm after scaling them to comparable units.
How to use it: Look for clusters where all three are leaning the same way near current spot. That is where local flow reinforcement risk is highest.
Watch for: Normalization is for comparison, not sizing. It shows agreement or disagreement, not exact rupee-for-rupee hedge flow.
Execution Playbook
If the state is Stable
Inside known walls, mean reversion has tighter model levels. Supportive gamma often dampens rather than accelerates the move.
If the state is Choppy
Expect false starts, poor reward-to-risk on first breaks, and more dependence on intraday acceptance. This is where execution quality matters more than forecast confidence.
If the state is Unstable
Respect trend continuation, cut fade size, and avoid assuming every fast move must snap back. Negative gamma plus hostile second-order flow can expand range quickly.
On event or expiry sessions
Re-check the state more often. Research and exchange commentary both suggest that net positioning and hedging pressure can shift faster when short-dated inventory turns over quickly.
How Desks Use These Charts In Live Execution
Classify regime before entry
Use Stable/Choppy/Unstable as a position-sizing filter. Reduce size when spot is compressed between multiple regime lines.
Map nearest regime boundary
Treat the nearest flip as a risk boundary. Acceptance beyond it matters more than first touch.
Confirm with tape quality
Require volume and breadth confirmation before trusting continuation in unstable states or fades in stable states.
Re-check after IV repricing
Large IV shifts can reweight vanna/charm quickly. Refresh the state map after events and opening shocks.
Industry Display Patterns Used Here
State Strip + Key Levels
Institutional terminals usually place a compact state strip above charts so traders can read regime, confidence, and nearest structural levels before drilling into detail.
Stacked Regime Lines
Platforms popular with index-options desks often show Gamma Flip, Vanna Trigger, and time-decay boundaries together because conflict between lines usually degrades first-break quality.
Context Before Direction
Desk tools frame this as a risk-state map, not a directional prediction engine. The first decision is sizing and execution style, then entry logic.
Assumptions And Caveats
Research References
Cboe: Evaluating the Market Impact of SPX 0DTE Options
Explains gamma hedging sign and why net positioning matters more than gross notional volume.
SSRN: Impact of Option Dealer Flows on Equity Returns
Finds dealer sensitivity can be more responsive to implied-volatility changes than to spot alone, which supports adding vanna to regime analysis.
SSRN: Options Market Makers
Documents inventory rebalancing behavior and why visible positioning should be treated as a proxy rather than exact cash-equity flow.
Strategy intelligence
Continue your market analysis
Related strategy modules to validate the signal from another angle.
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