Glossary

Explanation

Swing velocity measures rate of change between swings, not candle-by-candle movement. A velocity reading at the 93rd session percentile means the current move is faster than 93% of all moves in today's session; statistically extended, not just "fast." When velocity is declining across successive swings, price is moving slower even if direction hasn't changed. This deceleration often appears before a reversal becomes visible on any standard indicator. Rising velocity confirms momentum. Declining velocity warns of exhaustion before the chart shows it. The session percentile framing matters because absolute velocity numbers vary by instrument and conditions; what's fast for NIFTY on a quiet day is slow on an expiry day.

Explanation

Acceleration is the second derivative of price. When swings accelerate — each move completing faster than the last — momentum has genuine strength behind it. Pullbacks in an accelerating trend tend to be shallow and brief, making it a strong environment for entries in the trend direction. When swings decelerate — each move taking progressively longer to complete — the trend is weakening even if price is still moving the right way. Deceleration is one of the earliest exhaustion signals available because it appears in the structure of the moves themselves, before any oscillator or momentum indicator reflects the change. Negative acceleration (the rate of speed is falling) into a rising price is a divergence that often precedes reversal.

Explanation

When a metric reaches statistical extreme territory, it has entered the range that is, by mathematical definition, unsustainable within the current session's conditions. A z-score above 2.0 means the reading is in the 95th percentile. Above 3.0 (climactic) means the 99.7th percentile. These are not prediction signals; they are contextual signals. A climactic velocity reading doesn't guarantee reversal in the next candle. It means the move has gone further and faster than 99.7% of comparable moves in the instrument's history, and continuation from that point requires conditions that rarely persist. When multiple metrics simultaneously reach extremes — velocity, swing duration, and range all at once — the probability of continuation drops sharply.

Explanation

Acceptance is the opposite of rejection, and distinguishing between them at key levels is one of the most important reads in real-time analysis. When price spends significant time at a level — volume builds, range narrows, neither buyers nor sellers can push it away — the market is signalling that this price is fair. Acceptance above a prior resistance level is the most reliable confirmation of a genuine breakout; price is not just printing above the level, it is being accepted there. Acceptance is measured in time and volume, not just price location. A candle closing above a level is not acceptance. Five minutes of balanced, high-volume activity at the level is.

Explanation

Rejection is visible in real time: price touches a level and moves away within seconds or minutes, often leaving a prominent wick. Strong rejection at resistance confirms the level is actively defended and creates a clear reference point for entries and stops. Weak rejection, where price lingers before retreating, signals that the level is contested rather than firmly defended, an entirely different risk profile. The strength of rejection can be measured through wick size relative to candle body, the speed of the retreat, and whether CVD confirms selling pressure at the level or whether price drifted away passively. Strong rejection with CVD confirmation is a high-quality signal. A long wick with neutral CVD is ambiguous.

Explanation

Price clusters form where buyers and sellers repeatedly transact, where the market keeps returning because both sides find the price acceptable. Unlike support and resistance drawn from historical swing points, clustering shows where traders are actively engaged right now, in the current session. Cluster zones have genuine liquidity: orders are resting there, participants are watching them, and reactions to those levels tend to be sharper than reactions to theoretical levels drawn from price history. When a cluster zone and a structural level (order block, FVG, VWAP) coincide, the confluence of mechanical and participatory support creates the highest-probability zones in the session.

Explanation

Time at price reframes support and resistance from a visual concept to a participatory one. A level where price has spent 15% of the session's time is fundamentally different from a level touched once for thirty seconds. Extended time creates a value area; the market has repeatedly confirmed this price as fair. Brief visits create reference points: the market passed through but didn't stay. For stop placement, this distinction matters significantly. Stops below extended-time zones are less likely to be swept by routine noise; the zone has absorbed substantial activity and is unlikely to give way to a thin liquidity sweep. Stops below brief-visit levels have no such protection.

Explanation

A symmetry score of 0.40 means counter-moves are only 40% the size of trend moves: genuine directional dominance, the structural character of a tradeable trend. A score of 0.70 means buyers are absorbing 70% of every sell wave; the market is oscillating with a slight directional bias, not trending with conviction. Most trend indicators cannot distinguish between these two conditions. Supertrend, EMA alignment, and RSI direction all read identically in both cases. Move symmetry is the metric that reveals the underlying structure. Scores above 0.65 in a "trending" market are a warning that the trend may be a high-symmetry drift that reverses on any sustained contrary pressure.

Explanation

Pullback depth is a trend health indicator: the depth of retracements reveals the balance of power between trend participants and counter-trend participants. Shallow pullbacks (23.6–38.2% of the prior impulse) indicate strong trends where buyers re-enter aggressively at minor discounts. Deep pullbacks (50–61.8%) indicate weakening trends where buyers require significant discounts before committing. Pullbacks beyond 61.8% often signal structural trend breakdown rather than continuation. Pullback depth combined with velocity on the pullback — a shallow, fast pullback is the healthiest combination — distinguishes trends worth holding from trends that are quietly deteriorating while price still prints higher highs.

Explanation

Options flow is the record of commitment: money that actually traded, not orders sitting on the book. The signal in flow lives in patterns rather than individual prints: sweep orders executed with urgency, block trades printed with institutional size, repeat buying at the same strike accumulated over hours, and volume spikes that dwarf existing open interest at a level. Most flow is noise: hedging, rolling, and routine position management. The institutional signal is a fraction of the total tape but is systematically distinguishable by size, urgency, and positioning context. Flow reveals where smart money is building exposure before price reflects that positioning, making it a leading rather than lagging data source.

Explanation

CVD distinguishes between price moves driven by genuine buyer aggression and moves that happen passively as sellers step back. When price rises because buyers are lifting offers — hitting the ask aggressively — CVD rises with it, confirming the move has real conviction. When price rises but CVD is flat or declining, the advance is passive; sellers are retreating rather than buyers attacking. This distinction matters enormously for trade duration and stop placement. CVD divergence — price making a new high while CVD makes a lower high — is one of the most reliable early exhaustion signals available because it reveals the engine of the move is weakening before price itself confirms it.

Explanation

On-Balance Volume adds full session volume on up-closes and subtracts it on down-closes, creating a running total that reflects whether volume is net supportive or net opposing to price direction. The slope — whether OBV is rising, flat, or falling — reveals the trend in participation. A rising price with a declining OBV slope is a classic distribution signal: price is advancing but the volume behind it is pointing the other way, suggesting institutions are selling into strength while retail buyers push price higher. This divergence often precedes significant reversals because it reflects a fundamental shift in who is doing what: smart money exiting while price still looks constructive on the chart.

Explanation

Unusual activity stands out because most options trading is routine: market making, hedging, and rolling existing positions. When volume at a specific strike jumps to five or ten times its average, with the trades executing as sweeps rather than passive limit orders, the pattern suggests a participant with conviction or information is building a new position. UOA is a starting point for investigation, not a standalone trading signal. The next question is always: is this directional or protective? New OI opening on a sweep at an out-of-the-money strike, with no obvious existing position to hedge, tilts toward directional. Large put buying alongside a known equity long position tilts toward hedging. Context resolves the majority of ambiguous cases.

Explanation

Dark pool trades don't appear on the standard exchange tape until after execution, which means large institutional positions can be built without the market seeing them directly. However, institutions typically hedge dark pool equity positions with options on public exchanges, creating a detectable signal in the options flow tape. A sudden spike in put buying for a stock shortly after a dark pool print often reflects protective hedging of a new long position. This indirect signal is imprecise but adds a layer of context when reading unusual options activity alongside price action. Dark pool data is most relevant for US equities; Indian markets have a different structure, with block deals reported separately through exchange mechanisms.

Explanation

Institutions cannot fill large positions in a single trade without moving price significantly against themselves. Accumulation happens across days or weeks: buying on dips, absorbing sell pressure, keeping price range-bound while building size. The tells are subtle: tight range with rising OBV, CVD gradually rising despite flat price, repeat call buying at the same strikes in the options tape. Distribution mirrors the pattern in reverse. Identifying accumulation before the breakout — rather than after, when the pattern is obvious in hindsight — requires reading multiple flow dimensions simultaneously. Price alone rarely reveals the accumulation until the breakout has already happened.

Explanation

Time at price reframes support and resistance from a visual concept to a participatory one. A level where price has spent 15% of the session's time is fundamentally different from a level touched once for thirty seconds. Extended time creates a value area; the market has repeatedly confirmed this price as fair. Brief visits create reference points: the market passed through but didn't stay. For stop placement, this distinction matters significantly. Stops below extended-time zones are less likely to be swept by routine noise; the zone has absorbed substantial activity and is unlikely to give way to a thin liquidity sweep. Stops below brief-visit levels have no such protection.

Explanation

When options market makers sell options to traders, they hedge by buying or selling the underlying. The amount they need to trade changes as price moves; that sensitivity is gamma. Aggregate gamma exposure across all outstanding positions creates a mechanical force on price. In positive GEX, market makers buy dips and sell rallies as part of their hedging, dampening price moves and creating range-bound conditions. In negative GEX, they sell dips and buy rallies, amplifying moves and creating trending conditions. The gamma flip level — the price where aggregate GEX transitions from positive to negative — is the single most important level that never appears on any price chart. Knowing the regime before the session begins changes everything about how levels should be interpreted.

Explanation

Open interest is a snapshot of existing commitment. High OI at a strike means significant money is concentrated there, and both buyers and sellers have incentives around that level. More importantly, OI concentration drives market maker hedging behaviour; the larger their net gamma exposure at a strike, the more aggressively they trade the underlying around that level. Increasing OI signals new positions being opened: conviction entering the market. Decreasing OI signals positions closing: participants reducing exposure. OI shifts overnight, after the close, often reveal where institutional money moved while the market was closed, making overnight OI change one of the most useful pre-market signals available.

Explanation

Near expiry, price tends to gravitate toward max pain through the mechanics of incentive alignment and delta hedging rather than any coordinated activity. Option writers — typically institutions and market makers — collectively benefit from settlement near max pain, and their hedging flows create mechanical pressure in that direction. The gravitational pull strengthens as expiry approaches, becoming most pronounced in the final day or two before the weekly NIFTY expiry, which now settles on Tuesday. Max pain is one input among several — not a price target to trade mechanically — but combined with put and call walls and the gamma regime, it contributes to a coherent picture of the session's mechanical forces. The 200-point gap between current price and max pain is meaningful context. A 20-point gap is less so.

Explanation

Implied volatility is the volatility that, when plugged into an options pricing model, produces the observed market price for the option. When IV rises, options premiums expand because the market expects larger future moves. When IV collapses after an event resolves — regardless of which direction price moved — premiums collapse, which is why directionally correct options trades around events can still lose money. IV percentile contextualises the current reading: IV at its 90th historical percentile is expensive; at its 10th percentile, it is cheap. Neither high nor low IV is automatically a signal to buy or sell options; but IV context changes which strategies carry positive expected value in current conditions.

Explanation

India VIX is not a fear gauge and not a directional predictor. It measures the magnitude of expected moves, not their direction. The direct mechanical relationship to premiums is the most practically important thing to understand: when VIX rises, NIFTY option premiums expand proportionally; when VIX collapses, premiums collapse regardless of price behaviour. This relationship is most consequential around scheduled events — budget, RBI policy announcements, election results — where VIX spikes in the days before and collapses immediately after, creating IV crush that erases the premium value of directionally correct positions. Bank Nifty tends to amplify VIX movements because of its concentration in rate-sensitive financials.

Explanation

A high PCR — above 1.2 for NIFTY as a general reference — indicates heavy put buying relative to calls, reflecting either bearish positioning or elevated hedging demand. A low PCR below 0.7 indicates call-dominant activity, reflecting bullish sentiment or complacency. PCR functions best as a contrarian indicator at extremes: extreme put buying often coincides with market bottoms where downside fear has peaked; extreme call buying often coincides with tops where complacency has peaked. PCR as a standalone signal is noisy and unreliable. PCR in context with OI concentration, gamma regime, and flow data becomes a meaningful component of the broader options landscape read.

Explanation

When a market maker sells a call, they acquire positive delta; they profit if price rises. To remain directionally neutral, they buy the underlying in proportion to the option's delta. As price moves and delta changes, they must continuously rebalance. This rebalancing creates systematic buying and selling pressure at specific price levels, not based on price action or fundamental views, but purely on the mechanics of maintaining a delta-neutral book. In aggregate across all outstanding options positions, this hedging creates the gamma exposure regime that determines whether price moves are dampened or amplified. Understanding delta hedging is understanding why options positioning creates mechanical support and resistance that never appears on a standard chart.

Explanation

Delta measures how much the option price moves for a one-point move in the underlying. Gamma measures how fast delta changes: the metric that drives market maker hedging behaviour and creates the GEX regime. Theta measures daily time decay: the amount of value an option loses each day through the passage of time alone, which accelerates sharply as expiry approaches and becomes non-linear in the final session of a 0DTE cycle. Vega measures how much the option price changes for a one-percentage-point change in implied volatility: the sensitivity that makes options expensive before events and cheap after them. For multi-dimensional trading analysis, gamma is the most important Greek because it drives the mechanical forces that create invisible price levels.

Explanation

Before a high-uncertainty event, IV expands as market participants pay elevated premiums for protection and speculation. The premium reflects expected volatility, not realised volatility. Once the event resolves — earnings reported, RBI policy announced, election results declared — uncertainty collapses and IV drops sharply, often within minutes. A trader who bought a straddle expecting a large move can be correct about the move's magnitude and still lose money if IV collapses more than the price move expands the option's intrinsic value. IV crush is the most common mechanism through which retail options traders lose money on catalyst events they correctly anticipated. The solution is not to avoid events but to understand how to structure positions that benefit from directional moves without excessive IV exposure.

Explanation

FVGs form when price moves with enough urgency that consecutive candles fail to overlap, leaving a zone where orders went unfilled. Unmitigated FVGs — those not yet revisited by price — act as magnets because the orders that created the imbalance remain unfilled and draw price back toward resolution. A bullish FVG (price gapped up) creates a support zone below current price; a bearish FVG (price gapped down) creates resistance above. The mitigation status of an FVG — whether price has returned to fill it — is as important as its existence. A fully mitigated FVG has lost most of its magnetic pull. An unmitigated FVG sitting inside an untested order block at the same price level creates confluence between two independent institutional mechanics.

Explanation

Order blocks mark where institutional participants entered with size. Because large orders cannot be fully filled in a single transaction without moving price against themselves, institutions leave residual interest at the level of their original entry. When price returns to an order block, that residual interest tends to re-emerge, creating a reaction. Untested order blocks — those not yet revisited by price — carry the highest probability because the original institutional interest hasn't been absorbed. Volume at the original order block candle indicates participation strength: higher volume at the block suggests more institutional commitment to that level. Order blocks combined with unmitigated FVGs at the same price create the highest-confluence structural zones available in price action analysis.

Explanation

Volume profile is built on auction market theory: markets seek the price level where the most trading can occur, and volume concentration shows where that agreement was found. High-Volume Nodes (HVN) are levels where heavy trading occurred — the market accepted value there — and price tends to slow or consolidate when returning to them. Low-Volume Nodes (LVN) are levels the market moved through quickly — price was rejected — and when revisited, price tends to accelerate through them with minimal friction. The Point of Control (POC) is the highest-volume price of the period: the session's center of gravity and the level price gravitates toward during directionless conditions. Volume profile explains why some levels hold slowly and others gap through instantly.

Explanation

VWAP is the price the largest participants benchmark their execution against, which is precisely why it behaves as a magnet rather than a line drawn on a chart. Institutional algorithms are instructed to fill at or better than VWAP, so their order flow naturally gravitates toward it; the level reacts because real money is actively working around it, not because of chart geometry. Price trading above the session VWAP means buyers are in control of the day; price below it means sellers are. The standard-deviation bands around VWAP frame how stretched a move is: a push to the upper band in a balanced session is a mean-reversion candidate back toward VWAP, while a trending session rides one band and treats VWAP as support on every pullback. Session VWAP resets each day; anchored VWAP measured from a significant high, low, or event tracks control from that specific origin. When VWAP coincides with a volume-profile point of control or an order block, the benchmark and the structure reinforce each other.