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AMT Market Phase [TradingIQ + Ethan]Hello Traders! 🔹 AMT Market Phase AMT Market Phase is a market structure tool designed to identify when price is trading inside a balanced range versus when it has moved out of balance. Instead of only marking highs and lows, this tool uses a TPO-style value area model to study where price has spent time, where value is forming, and when price breaks away from that accepted area. Think of it as a way to visualize balance, imbalance, and developing market phase shifts across multiple timeframes . detects balanced and out-of-balance market phases builds TPO-style value areas from price activity marks VAH, VAL, and POC levels uses ATR buffering to filter minor value-area breaks supports multiple timeframe phase tracking optional value area, POC, and profile displays 🔹 What the tool shows 🔸 Balance vs out of balance The script classifies the market into two core states: Balance Out of Balance Balance means price is still trading within its accepted value area. Out of Balance means price has moved beyond the buffered value area, suggesting that price may be leaving the prior area of acceptance. This helps you quickly see whether the market is rotating inside a range or attempting to expand away from it. 🔸 TPO-based value area The tool builds a TPO-style profile from the active market range and calculates key levels: VAH, or Value Area High VAL, or Value Area Low POC, or Point of Control These levels represent where price has spent meaningful time during the current balance structure. Instead of using a fixed lookback range, the profile expands and updates based on the active phase of the market. 🔸 Buffered value area breaks AMT Market Phase includes an ATR-based buffer around the value area. This helps reduce noise by requiring price to move a meaningful distance beyond value before being classified as out of balance. This helps separate: minor value-area probes weak fakeouts stronger attempts to leave balance 🔸 Multi-timeframe phase tracking The indicator can track market phase across multiple timeframes. This allows you to compare lower-timeframe and higher-timeframe structure directly on the chart. You can use it to see: whether the current timeframe is balanced whether higher timeframes are out of balance whether multiple timeframes agree or conflict where larger value areas may be influencing price 🔸 Visual value zones The script can draw the active balance area directly on the chart. Depending on your settings, it can display: value area zones POC lines VAH and VAL levels profile-style visuals recent balance ranges only This gives a clean visual map of where value has formed and where price is attempting to break away from that value. 🔸 Phase table The built-in table summarizes the current phase across key timeframes. It shows whether each tracked timeframe is in: BALANCE OUT OF BALANCE When price is out of balance, the table can also show directional context using arrows. 🔹 How to read it Each component gives a different layer of market context: Balance zone → where price has been accepted VAH → upper edge of value VAL → lower edge of value POC → most active price area Buffered VA → filtered balance boundary Out of Balance → price attempting to leave value Phase table → multi-timeframe market state 🔹 Why this tool is useful It gives you: a structured way to identify balance and imbalance objective value-area levels based on price activity multi-timeframe context for market phase a cleaner alternative to manually drawing ranges visual reference points for where price is accepted or rejected 🔹 Best use cases identifying balanced market conditions tracking when price leaves value studying range expansion and acceptance comparing market phase across timeframes building context around VAH, VAL, and POC understanding whether price is rotating or expanding 🔹 Important note This tool is based on TPO-style value-area analysis and historical price structure. That means: balance does not guarantee price will remain inside the range out of balance does not guarantee trend continuation value areas are context zones, not automatic trade signals market conditions can change quickly outputs should be used as context, not certainty 🔹 Inputs you can customize The script includes flexible controls such as: custom timeframe selection timeframe colors POC display toggles value area display toggles profile display toggles recent range only mode value area percentage ATR multiplier for balance filtering minimum profile bars table position Closing Notes AMT Market Phase is built to shift the focus from simply asking where price is moving to understanding whether price is accepted or rejected around value . It helps traders visualize when the market is balanced, when it is leaving balance, and how that behavior lines up across multiple timeframes. Thank you for checking it out!
Pine Script® indicator
by Trading-IQ
3
Candle Fingerprint [TradingIQ]Hello Traders! 🔹 Candle Fingerprint Candle Fingerprint is a pattern-based analysis tool designed to study how price has typically behaved after specific candle structures. Instead of treating candles as isolated events, this tool compares current candles to historical ones and shows what has usually happened next in similar situations . Think of it as a way to find historical matches and outcomes for the current candle , not as a fixed prediction engine. finds candles with similar structure in the past compares body size, wicks, volatility, and close position tracks whether price typically continued or reversed shows continuation vs reversal rates displays typical move after similar candles optional streak-based behavior analysis 🔹 What the tool shows 🔸 Candle similarity matching The script analyzes the current candle and searches historical data for candles with similar structure. It compares multiple components such as body size, wick proportions, volatility, and where the candle closed within its range. This helps reveal: which past candles looked similar to the current one how those candles behaved afterward whether similar setups tended to continue or reverse Instead of assuming what a candle means, you get a historical reference for how similar structures have behaved before . 🔸 Continuation vs reversal behavior Once similar candles are found, the script tracks what happened next. It calculates how often price continued in the same direction versus reversing. This allows you to see: whether continuation or reversal has been more common the relative strength of that tendency how consistent the behavior has been across samples This provides context around the current candle, rather than a guaranteed outcome. 🔸 Typical move after the candle In addition to direction, the script measures how far price typically moved after similar candles. It calculates median moves for both continuation and reversal scenarios. This helps show: the typical size of follow-through moves the difference between continuation and reversal magnitude how strong or weak reactions have been historically This is not about predicting an exact move, but about understanding what has commonly happened in the past . 🔸 Visual similarity mapping The script highlights the most similar historical candles directly on the chart. This gives a visual reference for how past setups formed and evolved. This helps you: see real examples of similar price behavior compare structure side by side understand how the current setup fits into historical context 🔸 Candle streak model In addition to similarity, the script includes a streak-based model that tracks sequences of consecutive up or down closes. This allows you to analyze: what has typically happened after multiple up closes what has typically happened after multiple down closes how continuation vs reversal tendencies shift with streak length This provides a different lens focused on momentum sequences rather than structure . 🔸 Confidence context The tool evaluates how reliable the observed behavior is based on sample size and consistency. This helps you understand: whether the data is meaningful or limited how much weight to give the observation when patterns appear more or less stable 🔹 How to read it Each component gives a different layer of insight: Candle structure → what the current candle looks like Similarity matches → where this pattern appeared before Continuation rate → how often price continued Reversal rate → how often price reversed Typical move → how far price typically moved afterward Streak context → how sequences of candles have behaved 🔹 Why this tool is useful It gives you: a structured way to compare current candles to historical ones context for whether a setup has tended to continue or reverse typical move expectations based on past behavior a data-driven alternative to subjective candle interpretation multiple perspectives using both structure and streak behavior 🔹 Best use cases analyzing individual candle behavior comparing current setups to historical patterns studying continuation vs reversal tendencies understanding momentum through candle streaks adding contextual data to price action analysis 🔹 Important note This tool is based entirely on historical observations and pattern matching. That means: it reflects past behavior, not guaranteed outcomes it should not be treated as a predictive or deterministic model similar candles can still produce different results outputs are best used as context, not certainty 🔹 Inputs you can customize The script includes flexible controls such as: model selection (similarity or streak) candle selection method table display and positioning similarity weighting (body, wicks, volatility, close) history table settings visual offset and layout Closing Notes Candle Fingerprint is built to shift the focus from what a candle looks like to how similar candles have behaved historically . It does not attempt to predict the future, but instead provides a structured view of what has typically happened in comparable situations , allowing you to make more informed, contextual decisions. Thank you for checking it out!
Pine Script® indicator
by Trading-IQ
3
Session Levels IQ [TradingIQ]Hello Traders! 🔹 Session Levels IQ Session Levels IQ is a session-based percentage grid tool designed to map how far price typically travels away from each session open. Instead of treating a session as a simple open-high-low-close range, this tool builds a structured level framework around the session open and tracks which distances tend to get reached, how often they get reached, and what price typically does after touching them . Think of it as a way to study session expansion behavior around the open . This indicator records historical observations to show what typically happens. It’s not a strict probability model, but more of a history book of past behavior. session-based percentage levels built outward from the open custom session or timeframe-based session construction hit-rate tracking for each distance level typical move-after-hit measurement normal vs unusual level zoning optional coloring by historical hit rate or move-after-hit reference price line for inspecting post-hit behavior 🔹 What the tool shows 🔸 Session-centered level grid Each session begins from its opening price, and the script builds levels outward in configurable percentage intervals. This creates a structured grid above and below the session open, helping you visualize how price expands relative to where the session started. This helps reveal: how far price tends to travel from the session open which percentage distances are reached most often how session expansion behaves over time 🔸 Historical hit rate by level The script tracks whether each percentage level gets touched across completed sessions. Over time, this produces a running statistical view of how often price reaches specific distances from the open. This allows you to observe: which distances are commonly reached which distances are less typical where session expansion begins to become unusual 🔸 Typical move after hit In addition to tracking whether a level is reached, the script also records what price typically does after touching that level. For levels that get hit, it measures the median follow-through after contact. This helps show: whether certain levels tend to lead to larger continuation whether some levels produce relatively small follow-through how post-hit behavior differs across the grid This is not just about whether price gets somewhere. It is also about what tends to happen once it gets there . 🔸 Normal vs unusual zones A configurable normal range defines which distances from the open are considered relatively typical and which fall outside that range. Levels inside this zone are treated as normal, while levels beyond it are treated as more unusual. This helps identify: common session movement areas stretched or less typical expansion zones where price is trading beyond its more ordinary session behavior 🔸 Level coloring modes The script can visually color levels in different ways depending on what you want to study. Available modes include: By Hit Chance By Move After None With hit-chance coloring, levels are shaded based on how frequently they are reached. With move-after coloring, levels are shaded based on the magnitude of the typical move after price touches them. This makes it easier to spot: frequently reached levels less common extension areas levels associated with larger follow-through 🔸 Custom session support You can build the framework using either: a standard session timeframe such as 1D a fully custom intraday session window This makes the tool flexible for traders who want to study: daily opens custom market sessions specific trading windows 🔸 Whole-number level emphasis The script can optionally emphasize whole-number percentage distances so that major percentage thresholds stand out more clearly on the chart. This can help when you want to quickly distinguish: major percentage levels minor intermediate levels cleaner structural reference points 🔸 Reference price line An optional draggable reference line lets you place a price directly onto a level and inspect the typical move after that level is hit. This gives you a visual way to explore: how levels behave after being reached which zones tend to continue further which levels show more limited follow-through This feature is best viewed as exploratory context , not as a standalone signal. 🔸 Session range box The script can also draw a box around the current session’s working range, helping frame the active expansion area as the session develops. This gives additional context for: the current session’s high-to-low development where the grid sits relative to the active range how much of the session’s expansion has already formed 🔹 How to read it Each component provides a different layer of session information: Session open → anchor point for the grid Percentage levels → structured expansion distances from the open Hit chance → how often a level gets reached across sessions Move after hit → typical follow-through once a level is touched Normal range → common vs unusual expansion territory Reference line → exploratory view of post-hit behavior 🔹 Why this tool is useful It gives you: a structured way to study session expansion around the open historical context for which distances are commonly reached visibility into which extensions are relatively unusual insight into what price typically does after contacting a level a contextual framework for session movement analysis 🔹 Best use cases studying how far sessions typically expand from the open identifying common vs stretched extension zones comparing likely and unlikely distance levels adding structure to open-based session analysis exploring how price tends to behave after touching key percentage levels 🔹 Important note This tool is based on historical session behavior and percentage-distance tracking. That means: it is descriptive, not predictive certainty results depend on the instrument and timeframe being analyzed smaller level spacing creates more detail, but also more density typical move-after-hit is informational and should not be treated too literally 🔹 Inputs you can customize The script includes flexible controls such as: custom session toggle custom session time session timeframe level spacing percentage normal range percentage label detail level label size label side show all stored levels whole-number level emphasis session range box display level coloring mode reference price line Closing Notes Session Levels IQ is built to shift the focus from simply asking where price is now to asking how far price has historically tended to travel from a session open, how often those levels are reached, and what usually happens after contact . It helps turn session expansion into a more structured and measurable framework , so you can view open-based movement with more context than raw candles alone. Thank you for checking it out and thank you TradingView!
Pine Script® indicator
by Trading-IQ
5
CVD Profiles [TradingIQ]Hello Traders! 🔹 CVD Profiles CVD Profiles is a profile-based order flow visualization tool designed to show how participation distributes across price levels - not just over time, but through price itself . Think volume profile data + TPO time segmenting! Instead of looking at cumulative delta as a single line, this tool breaks it down into a price-based structure , revealing where activity, imbalance, and participation actually occurred within the session. It focuses on answering a more important question: Where did participation concentrate… and how did it distribute across price/time? cumulative delta distributed by price level buy vs sell activity mapped into profiles imbalance and dominance across structure value areas and point of control activity concentration (volume, USD, or delta-based) how participation builds within a session 🔹 What the tool shows 🔸 CVD Profile (price-based structure) Instead of viewing delta as a time series, this tool distributes it across price levels - forming a profile of participation . This allows you to see: where buying pressure accumulated where selling pressure dominated which price levels attracted the most activity 🔸 Imbalance Ratio (dominance structure) Imbalance mode shifts the focus from raw participation to relative dominance between buyers and sellers at each price level. Each level reflects the ratio between buy and sell activity, highlighting where one side clearly outweighed the other. This allows you to see: where buyers strongly dominated sellers where sellers overwhelmed buying pressure areas of clear directional conviction High imbalance levels often represent: aggressive participation momentum-driven behavior one-sided control at specific prices Balanced areas, on the other hand, suggest: indecision two-sided trade lack of conviction 🔸 Activity Mode (participation intensity) Activity mode focuses on how much trading activity occurred at each price level, regardless of direction. Instead of separating buyers and sellers, this mode aggregates total participation to reveal: high interest zones areas of heavy interaction where the market spent the most effort This helps identify: key auction areas high liquidity regions zones where price is likely to react Low activity areas often indicate: inefficient movement thin liquidity potential for fast price movement This mode is about effort - not direction. 🔸 USD Volume Mode (capital-weighted activity) USD Volume mode builds on activity by incorporating price-weighted participation . Instead of just counting volume, it measures: “where was the most capital traded?” This highlights: price levels with the highest notional value traded areas of significant financial commitment where larger participants may be involved Compared to raw activity, this mode emphasizes: higher-priced transactions capital concentration rather than trade count This is especially useful for: spotting institutional interest identifying meaningful participation zones filtering out low-value noise This mode is about capital — not just volume. www.tradingview.com 🔸 Multiple profile models The script supports different ways to interpret participation: CVD → raw cumulative delta distribution Imbalance Ratio → relative dominance (buy vs sell strength) Activity → total participation intensity USD Volume → capital-weighted activity Each model answers a slightly different question about the market. 🔸 Value Area & POC The tool automatically calculates: Point of Control (POC) → highest participation level Value Area High (VAH) Value Area Low (VAL) This helps identify: fair value high liquidity regions areas where price is most accepted These levels often act as key reference points for structure and reaction. 🔸 Initial Balance (IB) The script tracks the initial balance range. This highlights: early session structure range expansion vs containment where price begins its auction It provides context for how the session develops relative to its starting range. 🔸 Profile stacking (time progression) Profiles are built over time and stacked horizontally, showing how participation evolves. This allows you to observe: shifts in dominance over time expansion of participation into new price zones whether activity is building or fading Instead of a static snapshot, you get a dynamic structural progression . 🔸 Gradient-based intensity Color gradients represent the magnitude of activity. This helps highlight: high participation nodes low interest areas extreme dominance zones Stronger colors = stronger participation. 🔸 CVD Delta / Acceleration histogram An off-chart histogram shows: CVD Delta → change in participation CVD Acceleration → change in momentum of participation CVD Delta represents the amount of buying vs selling pressure added during the current bar. In simple terms: positive delta → more buying than selling negative delta → more selling than buying This tells you who was in control during that bar . CVD Acceleration takes it one step further. It measures how quickly delta itself is changing: increasing acceleration → pressure is building decreasing acceleration → pressure is slowing sharp shifts → potential transitions in control This helps answer a deeper question: “Is participation just present… or is it expanding?” Together, they give you a clearer read on: whether buying/selling is increasing whether momentum is building or fading when participation is strengthening vs weakening Think of it like this: CVD Delta = current pressure CVD Acceleration = change in pressure Strong trends are often accompanied by: consistent delta in one direction positive acceleration early in the move While weakening moves often show: falling delta negative or declining acceleration 🔹 How to read it Each component provides a different layer: Profile → where participation occurred POC / VA → where value is established Model selection → what type of participation you're measuring Histogram → how participation is changing 🔹 Example interpretations high activity at a level → strong interest / potential reaction zone thin profile areas → low liquidity / fast movement zones POC holding → acceptance POC shifting → changing value expanding profile → active auction contracting profile → consolidation 🔹 Why this tool is useful It gives you: price-based participation mapping clear visualization of where trading actually occurred context for value and liquidity insight into dominance and imbalance a structural view of order flow instead of just time-based data 🔹 Best use cases identifying key reaction levels analyzing auction behavior tracking value shifts across sessions confirming strength or weakness at price enhancing liquidity-based or structure-based strategies 🔹 Important note This tool uses lower timeframe data to reconstruct participation. This means: it is an approximation of order flow accuracy depends on available intrabar data lower timeframe selection impacts precision 🔹 Important consideration CVD and participation: can drive price can fail to move price can be absorbed by opposing liquidity Location matters just as much as magnitude. 🔹 Inputs you can customize The script includes flexible controls such as: profile model selection lower timeframe input profile resolution (tick size) value area percentage fixed start vs rolling sessions color customization histogram mode (delta vs acceleration) Closing Notes This tool is built to shift your perspective from time-based indicators to price-based participation analysis . It helps you understand not just what the market did — but where it mattered most . It may receive updates based on feedback - stay tuned! Thank you TradingView as always!
Pine Script® indicator
by Trading-IQ
15
CVD IQ [TradingIQ]Hello Traders! 🔹 CVD IQ CVD IQ is a delta-driven analytical tool designed to reveal how aggressive buying and selling activity translates into price movement. Instead of relying purely on price, this indicator reconstructs order flow dynamics using lower timeframe data , allowing you to see: Where did the pressure come from… and how efficiently did it move price? It focuses on answering a deeper question: Was the move driven by real participation, or was it inefficient, absorbed, or divergent? aggressive buy vs sell activity (CVD) price vs delta divergences efficiency of price movement relative to flow cost of moving price (delta per tick) absorption and imbalance conditions multi-scale flow analysis (bar, day, swing) classic divergence detection (RSI style) 🔹 What the indicator shows 🔸 Cumulative Volume Delta (CVD) CVD is built using lower timeframe data to approximate aggressive buying and selling. This allows you to track: whether buyers or sellers are in control how much pressure is building over time when participation is increasing or fading 🔸 IMMEDIATE Divergence detection (Classic & Cost Models) The indicator detects when price and delta are out of sync . Classic divergence highlights: price making new highs while delta weakens price making new lows while delta strengthens potential exhaustion or reversal conditions Cost-based divergence goes further by evaluating: how much delta was required to move price whether moves are becoming more or less efficient hidden weakness in “expensive” price movement This shifts your perspective from: “price is moving” to: “how much effort did it take to move price?” 🔸 CVD Cost Per Tick (Efficiency Analysis) One of the most important features. The indicator measures: Delta per tick = how much aggressive volume was required to move price This allows you to identify: efficient moves (low cost → strong response) inefficient moves (high cost → weak response) potential exhaustion when cost rises sharply Each swing is classified into categories like: Very High Cost High Cost Normal Cost Low Cost Very Low Cost High cost often signals absorption or resistance from opposing liquidity . 🔸 Swing-based flow analysis The indicator breaks market structure into swings and evaluates: delta across each swing cost of movement between pivots relative efficiency vs previous swings This helps you understand: whether trends are strengthening or weakening if continuation is becoming harder when liquidity is likely opposing the move 🔸 Delta-Implied Close (Expected Price) The script estimates where price should have closed based on delta. This gives insight into: whether price overperformed or underperformed relative to flow hidden absorption when price fails to match delta inefficiencies between participation and result Important Note This model is adaptive and continuously updates based on changing market conditions. It is not a predictive engine, but rather a framework for interpreting how order flow is currently interacting with price. 🔸 Delta Analysis Table (Bar / Day / Swing) A live table provides a structured breakdown of flow and price response across three contexts: current bar current day current swing It includes: aggressive buy & sell volume buy/sell percentages net delta imbalance ratios price movement in ticks close position within range delta cost per tick cost classification absorption detection This allows you to quickly answer: Who is in control, and is price responding properly? 🔹 Table Overview Metric Name of the metric shown in each row. Bar Value calculated for the current bar only. Day Value accumulated from the start of the current day. Swing Value accumulated from the start of the current swing. 🔹 Flow Aggressive Buys Total buy-side market order volume. Higher values indicate stronger buying pressure. Aggressive Sells Total sell-side market order volume. Higher values indicate stronger selling pressure. Buy % Percentage of total aggressive volume coming from buyers. Higher values indicate buy-side dominance. Sell % Percentage of total aggressive volume coming from sellers. Higher values indicate sell-side dominance. Net Delta Aggressive buys minus aggressive sells. Positive values favor buyers, negative values favor sellers. Imbalance Ratio Relative dominance between buyers and sellers, expressed as a multiple. Higher values indicate stronger directional control. 🔹 Price Response Total Aggression Combined aggressive buy and sell volume. Represents total market participation. Bar Tick Move Price movement measured in ticks. Shows how far price moved over the period. Close Position Where price closed within its range. Higher values mean the close is nearer the high, lower values nearer the low. 🔹 Efficiency & Cost Delta Cost / Tick How much delta was required to move price by one tick. Higher values indicate less efficient movement and potential absorption. Cost Classification of how expensive the move is relative to recent conditions. High cost suggests resistance or absorption, low cost suggests efficient movement. Ticks per 1k Delta Number of ticks price moved per 1000 delta. Higher values indicate more efficient price movement. Price Move per 1k Delta Actual price movement per 1000 delta. Higher values indicate stronger price response to order flow. 🔹 Delta-Based Expectations Delta-Implied Close The price level where the bar would be expected to close based on the underlying delta. Move Ratio Actual price movement relative to the delta-implied move. 1.0 = expected response 1.0 = stronger than expected <1.0 = weaker than expected 🔹 How to read it Each component provides a different layer: CVD → who is active Divergence → when price and flow disagree Cost → how efficient the move is Table → structured confirmation across contexts Together, this shifts your thinking from: “price moved up” to: “buyers were aggressive - but did price actually respond?” 🔹 Example interpretations strong delta + efficient move → clean continuation strong delta + weak move → absorption rising cost over time → trend weakening divergence signals → potential reversal or trap low cost + expansion → strong directional move 🔹 Why this indicator is useful It gives you: participation behind price context for whether moves are efficient early detection of exhaustion or absorption a way to quantify “effort vs result” multi-timeframe flow insight (bar, day, swing) 🔹 Best use cases confirming trend strength identifying weak breakouts spotting absorption at key levels analyzing liquidity interaction enhancing price action or liquidity-based models 🔹 Important note This script uses lower timeframe data to approximate aggressive volume. This means: accuracy depends on data availability different symbols may behave differently lower timeframe selection impacts results 🔹 Inputs you can customize lower timeframe for CVD calculation divergence models (Classic / Cost / Both) divergence sensitivity (small, medium, large swings) cost structure length and thresholds visual styling and colors delta analysis table size Closing Notes CVD IQ is built to show the relationship between participation and outcome . As always, thank you TradingView!
Pine Script® indicator
by Trading-IQ
30
IQ Candles [TradingIQ]Hello Traders! 🔹IQ Candles IQ Candles is a brand new chart type - a pressure-based visualization tool designed to break down what’s happening inside each candle. Gone are the days of traditional candlesticks - it's time for an upgrade! Instead of treating candles as simple open-high-low-close structures, this chart type reconstructs how buying and selling pressure actually developed within the bar using lower timeframe data. It focuses on answering a more refined question: Where did the pressure come from… and how did it translate into price? buy vs sell pressure inside each candle true dominance within the bar imbalances driven by aggressive participation absorption of pressure by opposing liquidity hidden strength or weakness behind candle structure 🔹What the chart type shows 🔸Pressure candles (internal structure) Each candle is reconstructed to reflect the internal distribution of buying and selling pressure. This allows you to instantly see: where buying pressure accumulated where selling pressure dominated how evenly or unevenly the candle was built Instead of a single body, you see the composition of the move. The example above shows a candlestick that is majority green and about 20% red. This indicates that aggressive buys dominated the candle/price area, and contributed made the highest contribution to the structure of the candle. The example above shows a candlestick that is majority red and about 10% green. This indicates that aggressive sells dominated the candle/price area, and contributed made the highest contribution to the structure of the candle. The example above shows a candlestick that is 50% green and 50% red. This indicates equal contribution. 🔸Smoothed Contribution When smoothing is enabled, the chart type applies a moving average to buying and selling pressure. This reduces noise and highlights the underlying trend of participation over time. Instead of focusing on every short-term fluctuation, you get a clearer view of: sustained buying pressure sustained selling pressure gradual shifts in control between buyers and sellers This is especially useful for: filtering out erratic lower timeframe noise identifying persistent dominance understanding whether pressure is building or fading over multiple bars In fast or choppy conditions, raw pressure can fluctuate rapidly. 🔸Absorption detection The chart type detects when strong pressure fails to move price effectively. This is one of the most important concepts in order flow. It highlights: buying absorbed at highs selling absorbed at lows hidden liquidity opposing aggressive traders potential exhaustion or reversal conditions This helps answer: “Was that pressure actually effective?” The image above shows an example of the chart type when buyers are absorbed. The image above shows an example of the chart type when sellers are absorbed. 🔸Imbalance detection When one side heavily outweighs the other, the chart type highlights imbalance conditions. This helps identify: aggressive one-sided participation momentum-driven moves bars where one side clearly overpowered the other Imbalances are not just about direction - they show conviction. The image above shows the chart type detecting a buy-side imbalance candle. The image above shows the chart type detecting a sell-side imbalance candle. 🔸Buy vs Sell pressure histogram A histogram displays total buying and selling pressure per bar. This gives you a quick read on: which side is in control how dominant that control is whether pressure is increasing or fading 🔸Delta mode (pressure expansion) Delta mode emphasizes the difference between dominant and opposing pressure. This is useful for: highlighting extreme dominance isolating one-sided control visualizing pressure expansion during strong moves The image above shows how to read positive delta candles for the chart type. The image above shows how to read negative delta candles for the chart type. 🔸Candle Radar (live table) A live table summarizes current bar activity, including: buy pressure sell pressure buy/sell percentages delta ratio dominant side imbalance status absorption status This provides a quick overview without needing to interpret the chart visually. 🔹How to read it Each component gives a different layer of information: Histogram → total pressure (who is active) Candle structure → how pressure translated into price Imbalance → when one side dominates Absorption → when dominance fails Together, this shifts your perspective from: “price moved up” to: “buying pressure dominated — but did it actually succeed?” Example interpretations: strong buy pressure + strong close → clean continuation strong buy pressure + weak close → possible absorption balanced pressure → indecision / consolidation extreme imbalance → momentum or potential exhaustion absorption signals → potential reversal or liquidity interaction 🔹Why this chart type is useful It gives you: internal candle structure clear separation of buying and selling pressure context for whether pressure is effective imbalance detection for momentum absorption detection for reversals a deeper understanding of how price actually forms 🔹Best use cases analyzing strength behind moves confirming continuation vs weakness spotting absorption at key levels understanding liquidity interactions enhancing price action or liquidity-based models 🔹Important note Pressure can: drive moves fail to move price or be absorbed by opposing liquidity Context always matters. 🔹Important consideration This script uses lower timeframe data to approximate internal pressure. This means: accuracy depends on available data different symbols may behave differently lower timeframe selection impacts results 🔹Inputs you can customize The script includes flexible controls such as: lower timeframe selection smoothing of pressure imbalance threshold absorption sensitivity delta mode behavior extended move filtering visual styling and colors Closing Notes And that’s about it! This script is built to reveal what candles are actually doing beneath the surface -turning price into something you can interpret, not just observe. It may receive updates based on feedback - stay tuned! Thank you TradingView as always!
Pine Script® indicator
by Trading-IQ
80
Big Order Bubbles [Trading IQ]Hello Traders! 🔹Big Order Bubbles IQ Big Order Bubbles IQ is a visualization tool designed to help traders identify and interpret large participation events in the market. Instead of raw volume bars or hidden order flow, this indicator highlights where meaningful size enters the market , allowing you to quickly spot areas of aggressive buying or selling. It focuses on answering a simple but powerful question: Where are the largest players actually active? high participation events aggressive buying vs selling pressure large order clustering within a bar turning points driven by size extreme volume spikes relative to recent activity 🔹What the indicator shows 🔸Big order bubbles Large orders are displayed directly on the chart as bubbles, sized relative to their magnitude. This allows you to instantly see: where large trades occurred how significant they were compared to others whether they were buying or selling aggression 🔸Buy vs Sell pressure (histogram) The lower panel separates large buying and selling activity into a histogram view. This gives you a quick read on: net aggressive buying (large orders only) net aggressive selling (large orders only) 🔸Turning point detection In “Turning Points” mode, the script attempts to identify large orders that occur at structurally meaningful moments. This helps highlight: potential exhaustion points areas where liquidity is being absorbed reversal zones driven by size 🔸Extreme volume detection In “Extreme Vol” mode, the indicator focuses purely on outliers in volume. This is useful for: spotting abnormal participation detecting sudden institutional activity highlighting momentum ignition events 🔸Live tick big order tracking When enabled, the indicator can track large orders in real time using tick-based data. This mode is designed for: scalping environments real-time order flow awareness capturing large prints as they happen 🔸Big order table A live table shows the most recent large orders, including: side (buy/sell) size price time since execution This gives you a quick reference for recent activity without scanning the chart. 🔹How to read it Bubble size shows how large the order was relative to others Bubble color shows whether it was buying or selling pressure Histogram shows the total imbalance within the bar Location shows where large participants chose to act This combination helps you move beyond “volume exists” and toward: “volume mattered here.” For example: large buy bubbles at lows can suggest absorption or accumulation large sell bubbles at highs can suggest distribution or rejection clusters of large orders can indicate key liquidity zones lack of large participation during a move can signal weakness large bubbles during an already strong move can indicate a stop loss cascade or liquidation event 🔹Why this indicator is useful It gives you: clear visualization of large orders relative sizing instead of raw numbers buy vs sell separation context through turning points or statistical extremes optional real-time tracking for intraday traders 🔹Best use cases confirming whether moves are supported by size spotting potential reversals driven by large players detecting liquidity grabs and absorption adding order flow context to price action or liquidity models 🔹Important note This indicator is a chart-reading tool , not a prediction engine. Large orders can: initiate moves absorb moves or simply pass through the market without follow-through Context matters. Always consider: location trend liquidity and surrounding structure 🔹Important consideration Order flow on TradingView is derived from available data , not a full centralized order book. This means: some activity may be approximated different symbols may behave differently tick-based modes depend on data availability The goal is not perfect reconstruction, but practical insight . 🔹Inputs you can customize The script includes flexible controls such as: volume aggressiveness threshold maximum bubble size scaling dollar-based filtering for large orders lower timeframe selection turning point vs extreme volume model live tick storage and behavior visual styling and color controls Closing Notes And that’s about it! This script is built to make large participation visible, intuitive, and actionable . It may receive updates based on feedback - stay tuned! Thank you TradingView as always!
Pine Script® indicator
by Trading-IQ
159
Volume Spread Analysis IQ [TradingIQ]Hello Traders! 🔹Volume Spread Analysis IQ This indicator was most voted on for our indicator competition - so here it is! Hope you guys like it :D Volume Spread Analysis IQ is a chart-reading tool built to help traders judge effort, result, and background context in a way that is visual and practical. Instead of forcing you to interpret volume and spread in isolation, this indicator organizes what the bar is doing into a readable structure so you can quickly see when the market is showing: low participation high participation narrow or wide spread potential hidden strength potential hidden weakness contextual VSA signals such as No Demand, No Supply, Upthrusts, Shakeouts, and Stopping Volume 🔹Why Effort vs Result Matters in Volume Spread Analysis The following information is relevant to VSA interpretation. In any market, price movement is the visible outcome of an underlying battle between buyers and sellers. Volume represents the effort being applied in that battle, while the spread of the candle reflects the result of that effort. When effort and result move together, the market is behaving efficiently. High effort producing a large price move suggests strong conviction and participation. In trending conditions this often confirms that the dominant side of the market is still in control. However, when effort and result begin to diverge, it can reveal hidden information about what is happening beneath the surface. For example: High effort with very little upward progress may indicate that strong selling pressure is absorbing buyers. Even though buyers are active, their effort is not producing meaningful results. This type of imbalance can appear before weakness develops. Likewise, high effort with very little downward progress can signal that sellers are being absorbed by hidden demand. Large amounts of selling activity fail to push price lower, suggesting accumulation may be taking place. Low effort situations are also informative. A rally with very low effort often lacks participation and can signal weak demand, while a selloff with very little effort can suggest that selling pressure is fading. From a structural perspective, the effort/result relationship helps traders distinguish between moves driven by genuine participation and moves that occur simply because the market is temporarily thin. This distinction can be important when evaluating breakouts, pullbacks, or potential reversals. In short, effort tells you how hard the market is trying to move, while result tells you how successful that attempt actually was. When these two fall out of balance, it often reveals shifts in supply and demand before they become obvious on price alone. 🔹What the indicator shows🔹 🔸Background bias Each candle is tinted to reflect the recent VSA background. This helps you judge whether the market is currently leaning strong, weak, or neutral based on the recent flow of bullish and bearish evidence. 🔸Effort vs. Result view The lower panel converts both volume and spread into easy-to-read rankings from 1 to 10. Effort represents how active the market is. Result represents how much price actually moved. 🔸Per-candle labels Optional candle labels show a simple readout for each bar: R = Result rank E = Effort rank 🔸Effort vs. Result summary table A live table on the chart shows the current effort rank, result rank, and the current interpretation of their relationship. 🔸Key VSA event markers The script marks classic VSA conditions directly on the chart when they appear in the proper context: No Demand No Supply Upthrust Shakeout Stopping Volume 🔹How to read it Effort asks: How much activity came into this bar? Result asks: How much did price actually move? Background asks: Is recent behavior supporting strength or weakness? This combination helps separate bars that look dramatic from bars that are actually meaningful. For example: High effort with poor upward result can hint that buying is struggling High effort with poor downward result can hint that selling is being absorbed Low effort rallies can warn of weak demand Low effort selloffs can suggest supply is drying up 🔹Signal overview No Demand Highlights weak upward bars with low participation. No Supply Highlights weak downward bars where selling pressure appears limited. Upthrust Marks a rejection bar that appears in weak background conditions and can warn of downside risk. Shakeout Marks a lower rejection bar that appears in strong background conditions and can suggest bullish intent. Stopping Volume Flags heavy selling activity that may be halting a move lower. Context matters. In strong background it can be bullish. In weak background it can simply pause price before weakness resumes. 🔹Why this indicator is useful Many traders can see volume. Far fewer can quickly judge whether that volume actually meant anything. This tool is designed to help with exactly that. It gives you: a cleaner way to read volume and spread together fast recognition of effort versus result imbalance background context instead of isolated signals VSA-style event labeling without requiring a cluttered chart friendly settings for newer users, plus advanced overrides for experienced users 🔹Best use cases confirming whether breakouts have real participation spotting weak rallies and weak selloffs judging whether aggressive bars are efficient or wasteful finding VSA-style reversal or continuation clues adding context to your existing market structure, liquidity, or price action model 🔹Important note This indicator is a chart-reading tool , not a promise of outcomes. VSA works best when signals are interpreted in context, not taken mechanically one by one. Use the background, the effort/result relationship, and the signal location together. Important consideration We scoured the internet, books, you name it to find detailed information on VSA techniques. That said, information is sparse and conflicting depending on where you look. We relied mostly on gold standard literature. However, the information in that literature is far from objective. Many descriptions are similar to… “An upthrust is a bar that pushes up and then fails, showing rejection of higher prices, usually in a weak background.” Coding this requires interpretation by the engineer - there aren’t exact rules to follow. This means the indicator’s presentation of an upthrust, shakeout, etc. might not always align with your definition of those events. You can customize the settings to force the indicator to better match your interpretation. 🔹Inputs you can customize The script includes simple user-friendly controls such as: What counts as a small body What counts as a long wick How strict close location should be How strict spread and volume classifications should be How much background proof you want before the indicator leans strong or weak Whether to use broader or more traditional No Demand / No Supply logic Whether Shakeouts and Upthrusts should require clear trend alignment Advanced users can also enable raw threshold overrides for finer control. 🔹Closing Notes And that’s about it! This script might receive updates in the future if the community asks for it - stay tuned! Thank you TradingView as always!
Pine Script® indicator
by Trading-IQ
14
Open Interest Footprint IQ [TradingIQ]Hello Traders! Th e Open Interest Footprint IQ indicator is an advanced visualization tool designed for cryptocurrency markets. It provides a granular, real-time breakdown of open interest changes across different price levels, allowing traders to see how aggressive market participation is distributed within each bar. Unlike standard footprint charts that rely solely on volume, this indicator offers unique insights by focusing on the interaction between price action and changes in open interest (OI) — a leading metric often used to infer trader intent and positioning. How it works The Open Interest Footprint IQ processes lower timeframe price and open interest data to build a footprint-style chart that shows how traders are positioning themselves within each candle. Here’s a breakdown of the process: 1. Granular OI & Price Sampling The script retrieves lower-timeframe data (1-minute, 1-second, or 1-tick, based on your setting). For each candle, it captures: High and low prices Price change direction Change in open interest (OI) 2. Classifying Trader Behavior For each lower-timeframe segment, the indicator determines the type of positioning occurring based on price movement and OI change: If price is moving up and open interest is increasing, it suggests that long positions are being opened. This is considered a "Longs Opening" event, labeled as UU (Up/Up). If price is moving up but open interest is decreasing, it indicates that short positions are being closed. This is referred to as UD (Up/Down), or "Shorts Closing." If price is moving down and open interest is increasing, it signals that short positions are being opened. This is known as DU (Down/Up), or "Shorts Opening." If price is moving down while open interest is also decreasing, it means that long positions are being closed. This is labeled as DD (Down/Down), or "Longs Closing." These are stored in separate arrays and displayed at specific price levels. It is particularly useful for identifying: Where longs or shorts are opening/closing positions Stacked imbalances (indicative of potential absorption or exhaustion) Value area zones and POC (Point of Control) based on OI, not volume This footprint runs on your choice of sub-bar granularity and is ideal for high-frequency trading, scalping, and entries based on order flow dynamics. Key Features Footprint Visualization At each price level within a candle: Long/short opening and closing behavior is broken down. Delta (net open interest change) is displayed both numerically and color-coded. Optional gradient coloring shows intensity and type of flow (longs/shorts opened/closed). Cumulative or per-bar reset modes allow you to track OI evolution over time. The image above explains the information that each Footprint box shows across a candlestick! Each footprint box shows: OI Delta OI Delta % Longs Opened (LO) Longs Closed (LC) Shorts Opened (SO) Shorts Closed (SC) The image above explains the color-coding feature of the indicator. Boxes are color coded to show which position action dominated at the price area. For this example: Green boxes = Long positions being opened dominated Purple boxes = Long positions being closed dominated Red boxes = Short positions being opened dominated Yellow boxes = Short positions being closed dominated All colors are customizable. Additionally, for traders who are only interested in whether OI increased/decreased, a "two-color" option is available in the settings. For the two-color option, footprint boxes can be one of two colors. Showing whether OI increased or decreased at the level. Cumulative Levels Open Interest Footprint IQ contains a "Cumulative Levels" feature that tracks/stores open interest change at tick levels over time, rather than resetting per bar. With the "Cumulative Levels" feature enabled, traders can see open interest changes persist across all candlesticks. This feature is useful for determining whether longs opening, longs closing, shorts opening, or shorts closing are dominating at particular price areas over time rather than on a single bar. A useful feature to see if shorts/longs are favoring certain price throughout the day, week, month, etc. Input Settings Explained Granularity (Dropdown: Granularity) Options: 1-Minute, 1-Second, 1-Tick Determines how finely the script samples the lower timeframe data to construct the footprint. For precision: 1-Tick = Highest accuracy, but more resource-intensive. 1-Second/1-Minute = Suitable for broader or more zoomed-out analysis. Tick Level Distance (Tick Level Distance (0 = Auto)) Defines the vertical spacing between levels in the footprint chart. If 0, the script uses an automatic calculation based on ATR to adapt to volatility. Set a manual value (e.g., 5) to control the height granularity of each level in ticks. Cumulative Levels (Toggle) If enabled, the footprint builds cumulatively over time, rather than resetting per candle. Use case: Visualize ongoing buildup of OI activity across a session or day. Cumulative Levels Reset TF (Timeframe) Sets the reset interval for the cumulative view (e.g., reset daily, hourly, etc.) Works only when Cumulative Levels is enabled. Delta Box Display Settings Show Delta Percentage Toggles the display of the percentage change in OI across the footprint level. Helpful to gauge how aggressive positioning is relative to total OI at that level. Show Longs/Shorts (Opened/Closed) Show Longs Opened: Displays OI increase in up candles (price ↑, OI ↑). Show Longs Closed: Displays OI decrease in down candles (price ↓, OI ↓). Show Shorts Opened: OI increase in down candles (price ↓, OI ↑). Show Shorts Closed: OI decrease in up candles (price ↑, OI ↓). These behaviors are color-coded to give traders instant context: Blue-green for longs opening. Purple for longs closing. Red for shorts opening. Yellow for shorts closing. Value Area & POC Value Area % (Value Area %) Controls how much cumulative open interest is used to define the value area. Example: 70% means the smallest range of prices that contains 70% of total OI in that bar will be marked. Helps identify zones of interest, support/resistance, and institutional levels. The image above explains how to identify the VAH/VAL/POC shown by Open Interest Footprint IQ. VAH = Upper 🞂 POC = ● VAL = Lower 🞂 Imbalances Imbalance Percentage Defines the minimum delta % required at a level to be marked as an imbalance. If the net open interest change at a level exceeds this threshold, a visual marker appears. Stacked Imbalance Count If the number of consecutive imbalance levels meets this count, a “Stacked Imbalance” alert will trigger. This can signal aggressive buying or selling pressure, potential breakout zones, or institutional absorption. Color Settings Longs Opened / Closed, Shorts Opened / Closed Customize the color palette for each order flow behavior. These colors appear in the background gradient of the footprint boxes. Up/Down Only Mode Toggle to override all behavior-based colors with a single Up Color and Down Color. Useful if you prefer a simple bull/bear view. Up Color / Down Color If "Up/Down Only" is enabled, these two colors are used to represent all net positive or negative deltas. Special Notes Crypto only: This script works only with crypto tickers on TradingView. For other assets (stocks, futures), a warning message will appear instead. OI data must be available from the exchange (many perpetual pairs support this). If the footprint is too small or invisible, increase your tick level spacing in the settings. Alerts When a stacked imbalance is detected, an alert is fired ("Stacked Imbalance"). This feature is useful for automated systems, bots, or simply staying informed of potential trade setups. And that's all for now! If you have any questions or features you'd like to see feel free to share them in the comments below! Thank you traders!
Pine Script® indicator
by Trading-IQ
15
Divergence IQ [TradingIQ]Hello Traders! Introducing "Divergence IQ" Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features. Features Divergence Detection Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator. Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals. Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy. Normalization Options: Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all. Adjustable normalization window lets you customize the indicator to suit various market conditions. Option to display the normalized indicator on the chart for clearer visual comparison. Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection. Simulated Trade Management: Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes. Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings. Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count. Visual Enhancements and On-Chart Displays: Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups. On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels. Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane. Performance Metrics Table: A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades. This feature offers an at-a-glance assessment of how the divergence-based strategy is performing. The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action! The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods. Customization and Adaptability Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox. The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied. While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease. With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average. In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate. The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection. This feature can be used with almost any technical indicator. Stop Type Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses. The image above shows options for the feature. Divergence Detection Method A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later. To circumvent this issue, Divergence IQ offers two divergence detection mechanisms. Pivot Detection Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences. This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence. Immediate Detection Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting. Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator. Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs. TradingView Backtester Integration Divergence IQ is fully compatible with the TradingView backtester! Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market. So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy. Strategy Properties Used For Backtest Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets. Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity. Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use. And that's all! If you have any cool features you think can benefit Divergence IQ - please feel free to share them! Thank you so much TradingView community!
Pine Script® strategy
by Trading-IQ
5
TPO IQ [TradingIQ]Hello Traders! Introducing "TPO IQ"! TPO IQ offers a Time Price Opportunity profile with several customization options that packs several related features to help traders navigate the generated profiles! Features TPO Profiles Single Print identification Initial Balance Identification Can be anchored to timeframe change Can be anchored to fixed time interval Last profile detailed visuals Customizable value area percentage POC identification Mid-point identification TPO Profiles A TPO profile is a market profile visualization that details how much time was spent at each price level throughout the time interval. The image above further explains what a TPO Profile is! Each letter corresponds to a candlestick. With this information, traders are able to visualize how much time was spent at each price area. With customizable gradient colors, specifically in this example, blocks colored red are the earliest times in the profile, blocks colored green are in the beginning half of the time midpoint of the profile. Blue blocks represent the first half of the end of the time period, and purple blocks correspond to the end of the time period. Please note that this form of TPO profile generation will only occur when the most recent profile uses less than 500 alphabet characters! If more than 500 characters are preset, TPO IQ will revert to using labels! Initial Balance TPO IQ also identifies the initial balance range and all alphabet characters that form within it! The image above exemplifies this feature. The initial balance range is denoted by a a neon-blue line, with a blue circle showing the opening price. All characters within the initial balance range are highlighted blue, which is a feature that can be disabled with customizable colors. POC TPO IQ also identifies the point of control (POC) of the TPO Profile. The point of control for the profile is labeled yellow by default, and shows where price spent the most time throughout the time period. The image above shows the POC for the time period being identified by TPO IQ. Value Area TPO IQ also identifies the value area of the profile. A customizable percentage that is 70% by default, the value area of a TPO profile shows where price traded the majority of the time. The image above further explains this feature. For this example, with the value area percentage being set to 70%, the value area high and value area low show the price zone that prices traded at 70% of the time throughout the profile. TPO Midpoint In addition to the POC, the TPO profile midpoint is also identified by TPO IQ. The TPO midpoint simply corresponds to the middle price between the session's high and low! Fixed Interval Mode By default, TPO IQ recalculates every day, but this can also be changed to a customizable session time, such as 4 hours. If 4 hours is selected, then a new TPO profile will be generated every 4 hours. However, in Fixed Interval mode, a TPO profile will be generated through a user-defined time range, such as 1300-1700. In the image above, Fixed Interval mode is applied with a time range of 1300-1700 and, consequently, TPO IQ generates a new profile throughout every 1300-1700 time range! This feature allows traders to specify time ranges of interest to generate TPO profiles for! TPO Overview Label The TPO overview label shows key statistics for the TPO profile generated throughout the trading session! The "TPO Count" statistic shows how many alphabetical letters were generated for the profile, which is an adequate method to determine the session's volatility and price range. The "Tick Levels" statistic shows how many tick levels were used to create the profile - another method to determine the volatility and price range of the session. The "Top Letter" statistic shows which letter appears most throughout the profile. In this example, the top letter was "f", which means throughout creation of the profile, the letter "f" appeared the most! And that's all for now! If you have any feedback or new feature ideas for TPO IQ please feel free to share them with us! Thank you traders!
Pine Script® indicator
by Trading-IQ
15
Footprint IQ Pro [TradingIQ]Hello Traders! Introducing "Footprint IQ Pro"! Footprint IQ Pro is an all-in-one Footprint indicator with several unique features. Features Calculated delta at tick level Calculated delta ratio at tick level Calculated buy volume at tick level Calculated sell volume at tick level Imbalance detection Stacked imbalance detection Stacked imbalance alerts Value area and POC detection Highest +net delta levels detection Lowest -net delta levels detection CVD by tick levels Customizable values area percentage The image above thoroughly outlines what each metric in the delta boxes shows! Metrics In Delta Boxes "δ:", " δ%:", " ⧎: ", " ◭: ", " ⧩: " δ Delta (Difference between buy and sell volume) δ% Delta Ratio (Delta as a percentage of total volume) ⧎ Total Volume At Level (Total volume at the price area) ◭ Total Buy Volume At Level (Total buy volume at the price area) ⧩ Total Sell Volume At Level (total sell volume at the price area) Each metric comes with a corresponding symbol. That said, until you become comfortable with the symbol, you can also turn on the descriptive labels setting! The image above exemplifies the feature. The image above shows Footprint IQ's full power! Additionally, traders with an upgraded TradingView plan can make use of the "1-Second" feature Footprint IQ offers! The image above shows each footprint generated using 1-second volume data. 1-second data is highly granular compared to 1-minute data and, consequently, each footprint is exceptionally more accurate! Imbalance Detection Footprint IQ pro is capable of detecting user-defined delta imbalances. The image above further explains how Footprint IQ detects imbalances! The imbalance percentage is customizable in the settings, and is set to 70% by default. Therefore, When net delta is positive, and the positive net delta constitutes >=70% of the total volume, a buying imbalance will be detected (upwards triangle). When net delta is negative, and the negative net delta constitutes >=70% of the total volume, a buying imbalance will be detected (downwards triangle). Stacked Imbalance Detection In addition to imbalance detection, Footprint IQ Pro can also detect stacked imbalances! The image above shows Footprint IQ Pro detecting stacked imbalances! Stacked imbalances occur when consecutive imbalances at sequential price areas occur. Stacked imbalances are generally interpreted as significant price moves that are supported by volume, rather than a significant result with disproportionate effort. The criteria for stacked imbalance detection (how many imbalances must occur at sequential price areas) is customizable in the settings. The default value is three. Therefore, when three imbalances occur at sequential price areas, golden triangles will begin to print to show a stacked imbalance. Additionally, traders can set alerts for when stacked imbalances occur! Highest +Delta and Highest -Delta Levels In addition to being a fully-fledged Footprint indicator, Footprint IQ Pro goes one step further by detecting price areas where the greater +Delta and -Delta are! The image above shows price behavior near highest +Delta price areas detected by Footprint IQ! These +Delta levels are considered important as there has been strong interest from buyers at these price areas when they are traded at. It's expected that these levels can function as support points that are supported by volume. The image above shows a similar function for resistance points! Blue lines = High +Delta Detected Price Areas Red lines = High -Delta Detected Price Areas Value Area Detection Similar to traditional volume profile, Footprint IQ Pro displays the value area per bar. Green lines next to each footprint show the value area for the bar. The value area % is customizable in the settings. CVD Levels Footprint IQ Pro is capable of storing historical volume delta information to provide CVD measurements at each price area! The image above exemplifies this feature! When this feature is enabled, you will see the CVD of each price area, rather than the net delta! And that's it! Thank you so much to TradingView for offering the greatest charting platform for everyone to create on! If you have any feature requests you'd like to see for Footprint IQ, please feel free to share them with us! Thank you!
Pine Script® indicator
by Trading-IQ
52
IQ Zones [TradingIQ]Hey Traders! Introducing "IQ Zones". "IQ Zones" is an indicator that combines support and resistance identification with volume, the "value area" of a candlestick to be exact. IQ Zones identifies turning points in the market; however, the candlestick high or low that formed the key turning point is not necessarily distinguished as the support/resistance area. Instead, the script looks into the bar at lower timeframes and calculates the value area of the candlestick that formed the support or resistance level. Therefore, any lines protruding from a candlestick reflect the value area of that candlestick. These levels (value area high and value area low) are marked on the candlestick as a support/resistance level. If the level formed on high volume it's marked as an "IQ Zone". Additionally, IQ Zones presents a heat map to show volume intensity at nearby price areas. The heatmap is a product of the Volume Profile (IQ Profile) located on the right of the chart. The IQ Profile is a segmented volume profile. Recent price is split into fifths (customizable), and individual volume profiles are calculated for all segmented price areas. Price is split into more than one segment to avoid a situation where volume in a ranging price zone far surpasses all other recent price areas - creating an "unusable" volume profile that doesn't offer helpful insights. If desired, you can set the segmenting option to "1" to calculate one unified volume profile for the entire price range. The image above shows IQ Zones in action! Core Features of IQ Zones Value Area Support and Resistance Levels Segmented volume profile for the recent trading period Volume intensity heatmap Support and resistance levels in high volume intensity may be more significant as price stoppers The image above explains the labels marked along the y-axis of the IQ Profile. The "more green" a price area/label is, the higher the volume intensity at the marked support/resistance area. The image above further explains line lines protruding from the IQ Profile. For this example, the value area of the candlestick (where most trading action occurred) is quite far from the high price of the candlestick that formed a resistance level! Using the value area of a candlestick that marks a key turning point to draw support/resistance offers insight into where the majority of trading action took place when the support/resistance level was forming! Additionally, you can hover your mouse over the IQ Zone labels (triangles pointing up or down) to see the prices of the value area for the support/resistance level, including the total buying volume and total selling volume at the price area! The image above further explains the IQ Profile! You can segment the recent price area anywhere from 1 - 15 times. The image above further explains IQ Zones and the IQ Profile! That will be all for this indicator - a fun project to share with the community. Thank you!
Pine Script® indicator
by Trading-IQ
7
ICT Master Suite [Trading IQ]Hello Traders! We’re excited to introduce the ICT Master Suite by TradingIQ, a new tool designed to bring together several ICT concepts and strategies in one place. The Purpose Behind the ICT Master Suite There are a few challenges traders often face when using ICT-related indicators: Many available indicators focus on one or two ICT methods, which can limit traders who apply a broader range of ICT related techniques on their charts. There aren't many indicators for ICT strategy models, and we couldn't find ICT indicators that allow for testing the strategy models and setting alerts. Many ICT related concepts exist in the public domain as indicators, not strategies! This makes it difficult to verify that the ICT concept has some utility in the market you're trading and if it's worth trading - it's difficult to know if it's working! Some users might not have enough chart space to apply numerous ICT related indicators, which can be restrictive for those wanting to use multiple ICT techniques simultaneously. The ICT Master Suite is designed to offer a comprehensive option for traders who want to apply a variety of ICT methods. By combining several ICT techniques and strategy models into one indicator, it helps users maximize their chart space while accessing multiple tools in a single slot. Additionally, the ICT Master Suite was developed as a strategy . This means users can backtest various ICT strategy models - including deep backtesting. A primary goal of this indicator is to let traders decide for themselves what markets to trade ICT concepts in and give them the capability to figure out if the strategy models are worth trading! What Makes the ICT Master Suite Different There are many ICT-related indicators available on TradingView, each offering valuable insights. What the ICT Master Suite aims to do is bring together a wider selection of these techniques into one tool. This includes both key ICT methods and strategy models, allowing traders to test and activate strategies all within one indicator. Features The ICT Master Suite offers: Multiple ICT strategy models, including the 2022 Strategy Model and Unicorn Model, which can be built, tested, and used for live trading. Calculation and display of key price areas like Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps, Equal Levels, and more. The ability to set alerts based on these ICT strategies and key price areas. A comprehensive, yet practical, all-inclusive ICT indicator for traders. Customizable Timeframe - Calculate ICT concepts on off-chart timeframes Unicorn Strategy Model 2022 Strategy Model Liquidity Raid Strategy Model OTE (Optimal Trade Entry) Strategy Model Silver Bullet Strategy Model Order blocks Breaker blocks Rejection blocks FVG Strong highs and lows Displacements Liquidity sweeps Power of 3 ICT Macros HTF previous bar high and low Break of Structure indications Market Structure Shift indications Equal highs and lows Swings highs and swing lows Fibonacci TPs and SLs Swing level TPs and SLs Previous day high and low TPs and SLs And much more! An ongoing project! How To Use Many traders will already be familiar with the ICT related concepts listed above, and will find using the ICT Master Suite quite intuitive! Despite this, let's go over the features of the tool in-depth and how to use the tool! The image above shows the ICT Master Suite with almost all techniques activated. ICT 2022 Strategy Model The ICT Master suite provides the ability to test, set alerts for, and live trade the ICT 2022 Strategy Model. The image above shows an example of a long position being entered following a complete setup for the 2022 ICT model. A liquidity sweep occurs prior to an upside breakout. During the upside breakout the model looks for the FVG that is nearest 50% of the setup range. A limit order is placed at this FVG for entry. The target entry percentage for the range is customizable in the settings. For instance, you can select to enter at an FVG nearest 33% of the range, 20%, 66%, etc. The profit target for the model generally uses the highest high of the range (100%) for longs and the lowest low of the range (100%) for shorts. Stop losses are generally set at 0% of the range. The image above shows the short model in action! Whether you decide to follow the 2022 model diligently or not, you can still set alerts when the entry condition is met. ICT Unicorn Model The image above shows an example of a long position being entered following a complete setup for the ICT Unicorn model. A lower swing low followed by a higher swing high precedes the overlap of an FVG and breaker block formed during the sequence. During the upside breakout the model looks for an FVG and breaker block that formed during the sequence and overlap each other. A limit order is placed at the nearest overlap point to current price. The profit target for this example trade is set at the swing high and the stop loss at the swing low. However, both the profit target and stop loss for this model are configurable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 For Longs, the selectable stop losses are: Swing Low Bottom of FVG or breaker block The image above shows the short version of the Unicorn Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 For Shorts, the selectable stop losses are: Swing High Top of FVG or breaker block The image above shows the profit target and stop loss options in the settings for the Unicorn Model. Optimal Trade Entry (OTE) Model The image above shows an example of a long position being entered following a complete setup for the OTE model. Price retraces either 0.62, 0.705, or 0.79 of an upside move and a trade is entered. The profit target for this example trade is set at the -0.5 fib level. This is also adjustable in the settings. For Longs, the selectable profit targets are: Swing High Fib -0.5 Fib -1 Fib -2 The image above shows the short version of the OTE Model in action! For Shorts, the selectable profit targets are: Swing Low Fib -0.5 Fib -1 Fib -2 Liquidity Raid Model The image above shows an example of a long position being entered following a complete setup for the Liquidity Raid Modell. The user must define the session in the settings (for this example it is 13:30-16:00 NY time). During the session, the indicator will calculate the session high and session low. Following a “raid” of either the session high or session low (after the session has completed) the script will look for an entry at a recently formed breaker block. If the session high is raided the script will look for short entries at a bearish breaker block. If the session low is raided the script will look for long entries at a bullish breaker block. For Longs, the profit target options are: Swing high User inputted Lib level For Longs, the stop loss options are: Swing low User inputted Lib level Breaker block bottom The image above shows the short version of the Liquidity Raid Model in action! For Shorts, the profit target options are: Swing Low User inputted Lib level For Shorts, the stop loss options are: Swing High User inputted Lib level Breaker block top Silver Bullet Model The image above shows an example of a long position being entered following a complete setup for the Silver Bullet Modell. During the session, the indicator will determine the higher timeframe bias. If the higher timeframe bias is bullish the strategy will look to enter long at an FVG that forms during the session. If the higher timeframe bias is bearish the indicator will look to enter short at an FVG that forms during the session. For Longs, the profit target options are: Nearest Swing High Above Entry Previous Day High For Longs, the stop loss options are: Nearest Swing Low Previous Day Low The image above shows the short version of the Silver Bullet Model in action! For Shorts, the profit target options are: Nearest Swing Low Below Entry Previous Day Low For Shorts, the stop loss options are: Nearest Swing High Previous Day High Order blocks The image above shows indicator identifying and labeling order blocks. The color of the order blocks, and how many should be shown, are configurable in the settings! Breaker Blocks The image above shows indicator identifying and labeling order blocks. The color of the breaker blocks, and how many should be shown, are configurable in the settings! Rejection Blocks The image above shows indicator identifying and labeling rejection blocks. The color of the rejection blocks, and how many should be shown, are configurable in the settings! Fair Value Gaps The image above shows indicator identifying and labeling fair value gaps. The color of the fair value gaps, and how many should be shown, are configurable in the settings! Additionally, you can select to only show fair values gaps that form after a liquidity sweep. Doing so reduces "noisy" FVGs and focuses on identifying FVGs that form after a significant trading event. The image above shows the feature enabled. A fair value gap that occurred after a liquidity sweep is shown. Market Structure The image above shows the ICT Master Suite calculating market structure shots and break of structures! The color of MSS and BoS, and whether they should be displayed, are configurable in the settings. Displacements The images above show indicator identifying and labeling displacements. The color of the displacements, and how many should be shown, are configurable in the settings! Equal Price Points The image above shows the indicator identifying and labeling equal highs and equal lows. The color of the equal levels, and how many should be shown, are configurable in the settings! Previous Custom TF High/Low The image above shows the ICT Master Suite calculating the high and low price for a user-defined timeframe. In this case the previous day’s high and low are calculated. To illustrate the customizable timeframe function, the image above shows the indicator calculating the previous 4 hour high and low. Liquidity Sweeps The image above shows the indicator identifying a liquidity sweep prior to an upside breakout. The image above shows the indicator identifying a liquidity sweep prior to a downside breakout. The color and aggressiveness of liquidity sweep identification are adjustable in the settings! Power Of Three The image above shows the indicator calculating Po3 for two user-defined higher timeframes! Macros The image above shows the ICT Master Suite identifying the ICT macros! ICT Macros are only displayable on the 5 minute timeframe or less. Strategy Performance Table In addition to a full-fledged TradingView backtest for any of the ICT strategy models the indicator offers, a quick-and-easy strategy table exists for the indicator! The image above shows the strategy performance table in action. Keep in mind that, because the ICT Master Suite is a strategy script, you can perform fully automatic backtests, deep backtests, easily add commission and portfolio balance and look at pertinent metrics for the ICT strategies you are testing! Lite Mode Traders who want the cleanest chart possible can toggle on “Lite Mode”! In Lite Mode, any neon or “glow” like effects are removed and key levels are marked as strict border boxes. You can also select to remove box borders if that’s what you prefer! Settings Used For Backtest For the displayed backtest, a starting balance of $1000 USD was used. A commission of 0.02%, slippage of 2 ticks, a verify price for limit orders of 2 ticks, and 5% of capital investment per order. A commission of 0.02% was used due to the backtested asset being a perpetual future contract for a crypto currency. The highest commission (lowest-tier VIP) for maker orders on many exchanges is 0.02%. All entered positions take place as maker orders and so do profit target exits. Stop orders exist as stop-market orders. A slippage of 2 ticks was used to simulate more realistic stop-market orders. A verify limit order settings of 2 ticks was also used. Even though BTCUSDT.P on Binance is liquid, we just want the backtest to be on the safe side. Additionally, the backtest traded 100+ trades over the period. The higher the sample size the better; however, this example test can serve as a starting point for traders interested in ICT concepts. Community Assistance And Feedback Given the complexity and idiosyncratic applications of ICT concepts amongst its proponents, the ICT Master Suite’s built-in strategies and level identification methods might not align with everyone's interpretation. That said, the best we can do is precisely define ICT strategy rules and concepts to a repeatable process, test, and apply them! Whether or not an ICT strategy is trading precisely how you would trade it, seeing the model in action, taking trades, and with performance statistics is immensely helpful in assessing predictive utility. If you think we missed something, you notice a bug, have an idea for strategy model improvement, please let us know! The ICT Master Suite is an ongoing project that will, ideally, be shaped by the community. A big thank you to the @PineCoders for their Time Library! Thank you!
Pine Script® strategy
by Trading-IQ
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