Bar Balance [LucF]Bar Balance extracts the number of up, down and neutral intrabars contained in each chart bar, revealing information on the strength of price movement. It can display stacked columns representing raw up/down/neutral intrabar counts, or an up/down balance line which can be calculated and visualized in many different ways.
WARNING: This is an analysis tool that works on historical bars only. It does not show any realtime information, and thus cannot be used to issue alerts or for automated trading. When realtime bars elapse, the indicator will require a browser refresh, a change to its Inputs or to the chart's timeframe/symbol to recalculate and display information on those elapsed bars. Once a trader understands this, the indicator can be used advantageously to make discretionary trading decisions.
Traders used to work with my Delta Volume Columns Pro will feel right at home in this indicator's Inputs . It has lots of options, allowing it to be used in many different ways. If you value the bar balance information this indicator mines, I hope you will find the time required to master the use of Bar Balance well worth the investment.
█ OVERVIEW
The indicator has two modes: Columns and Line .
Columns
• In Columns mode you can display stacked Up/Down/Neutral columns.
• The "Up" section represents the count of intrabars where `close > open`, "Down" where `close < open` and "Neutral" where `close = open`.
• The Up section always appears above the centerline, the Down section below. The Neutral section overlaps the centerline, split halfway above and below it.
The Up and Down sections start where the Neutral section ends, when there is one.
• The Up and Down sections can be colored independently using 7 different methods.
• The signal line plotted in Line mode can also be displayed in Columns mode.
Line
• Displays a single balance line using a zero centerline.
• A variable number of independent methods can be used to calculate the line (6), determine its color (5), and color the fill (5).
You can thus evaluate the state of 3 different components with this single line.
• A "Divergence Levels" feature will use the line to automatically draw expanding levels on divergence events.
Features available in both modes
• The color of all components can be selected from 15 base colors, with 16 gradient levels used for each base color in the indicator's gradients.
• A zero line can show a 6-state aggregate value of the three main volume balance modes.
• The background can be colored using any of 5 different methods.
• Chart bars can be colored using 5 different methods.
• Divergence and large neutral count ratio events can be shown in either Columns or Line mode, calculated in one of 4 different methods.
• Markers on 6 different conditions can be displayed.
█ CONCEPTS
Intrabar inspection
Intrabar inspection means the indicator looks at lower timeframe bars ( intrabars ) making up a given chart bar to gather its information. If your chart is on a 1-hour timeframe and the intrabar resolution determined by the indicator is 5 minutes, then 12 intrabars will be analyzed for each chart bar and the count of up/down/neutral intrabars among those will be tallied.
Bar Balances and calculation methods
The indicator uses a variety of methods to evaluate bar balance and to derive other calculations from them:
1. Balance on Bar : Uses the relative importance of instant Up and Down counts on the bar.
2. Balance Averages : Uses the difference between the EMAs of Up and Down counts.
3. Balance Momentum : Starts by calculating, separately for both Up and Down counts, the difference between the same EMAs used in Balance Averages and an SMA of double the period used for the EMAs. These differences are then aggregated and finally, a bounded momentum of that aggregate is calculated using RSI.
4. Markers Bias : It sums the bull/bear occurrences of the four previous markers over a user-defined period (the default is 14).
5. Combined Balances : This is the aggregate of the instant bull/bear bias of the three main bar balances.
6. Dual Up/Down Averages : This is a display mode showing the EMA calculated for each of the Up and Down counts.
Interpretation of neutral intrabars
What do neutral intrabars mean? When price does not change during a bar, it can be because there is simply no interest in the market, or because of a perfect balance between buyers and sellers. The latter being more improbable, Bar Balance assumes that neutral bars reveal a lack of interest, which entails uncertainty. That is the reason why the option is provided to interpret ratios of neutral intrabars greater than 50% as divergences. It is also the rationale behind the option to dampen signal lines on the inverse ratio of neutral intrabars, so that zero intrabars do not affect the signal, and progressively larger proportions of neutral intrabars will reduce the signal's amplitude, as the balance calcs using the up/down counts lose significance. The impact of the dampening will vary with markets. Weaker markets such as cryptos will often contain greater numbers of neutral intrabars, so dampening the Line in that sector will have a greater impact than in more liquid markets.
█ FEATURES
1 — Columns
• While the size of the Up/Down columns always represents their respective importance on the bar, their coloring mode is independent. The default setup uses a standard coloring mode where the Up/Down columns over/under the zero line are always in the bull/bear color with a higher intensity for the winning side. Six other coloring modes allow you to pack more information in the columns. When choosing to color the top columns using a bull/bear gradient on Balance Averages, for example, you will end up with bull/bear colored tops. In order for the color of the bottom columns to continue to show the instant bar balance, you can then choose the "Up/Down Ratio on Bar — Dual Solid Colors" coloring mode to make those bars the color of the winning side for that bar.
• Line mode shows only the line, but Columns mode allows displaying the line along with it. If the scale of the line is different than that of the scale of the columns, the line will often appear flat. Traders may find even a flat line useful as its bull/bear colors will be easily distinguishable.
2 — Line
• The default setup for Line mode uses a calculation on "Balance Momentum", with a fill on the longer-term "Balance Averages" and a line color based on the "Markers Bias". With the background set on "Line vs Divergence Levels" and the zero line on the hard-coded "Combined Bar Balances", you have access to five distinct sources of information at a glance, to which you can add divergences, divergences levels and chart bar coloring. This provides powerful potential in displaying bar balance information.
• When no columns are displayed, Line mode can show the full scale of whichever line you choose to calculate because the columns' scale no longer interferes with the line's scale.
• Note that when "Balance on Bar" is selected, the Neutral count is also displayed as a ratio of the balance line. This is the only instance where the Neutral count is displayed in Line mode.
• The "Dual Up/Down Averages" is an exception as it displays two lines: one average for the Up counts and another for the Down counts. This mode will be most useful when Columns are also displayed, as it provides a reference for the top and bottom columns.
3 — Zero Line
The zero line can be colored using two methods, both based on the Combined Balances, i.e., the aggregate of the instant bull/bear bias of the three main bar balances.
• In "Six-state Dual Color Gradient" mode, a dot appears on every bar. Its color reflects the bull/bear state of the Combined Balances, and the dot's brightness reflects the tally of balance biases.
• In "Dual Solid Colors (All Bull/All Bear Only)" a dot only appears when all three balances are either bullish or bearish. The resulting pattern is identical to that of Marker 1.
4 — Divergences
• Divergences are displayed as a small circle at the top of the scale. Four different types of divergence events can be detected. Divergences occur whenever the bull/bear bias of the method used diverges with the bar's price direction.
• An option allows you to include in divergence events instances where the count of neutral intrabars exceeds 50% of the total intrabar count.
• The divergence levels are dynamic levels that automatically build from the line's values on divergence events. On consecutive divergences, the levels will expand, creating a channel. This implementation of the divergence levels corresponds to my view that divergences indicate anomalies, hesitations, points of uncertainty if you will. It excludes any association of a pre-determined bullish/bearish bias to divergences. Accordingly, the levels merely take note of divergence events and mark those points in time with levels. Traders then have a reference point from which they can evaluate further movement. The bull/bear/neutral colors used to plot the levels are also congruent with this view in that they are determined by price's position relative to the levels, which is how I think divergences can be put to the most effective use.
5 — Background
• The background can show a bull/bear gradient on four different calculations. You can adjust its brightness to make its visual importance proportional to how you use it in your analysis.
6 — Chart bars
• Chart bars can be colored using five different methods.
• You have the option of emptying the body of bars where volume does not increase, as does my TLD indicator, the idea behind this being that movement on bars where volume does not increase is less relevant.
7 — Intrabar Resolution
You can choose between three modes. Two of them are automatic and one is manual:
a) Fast, Longer history, Auto-Steps (~12 intrabars) : Optimized for speed and deeper history. Uses an average minimum of 12 intrabars.
b) More Precise, Shorter History Auto-Steps (~24 intrabars) : Uses finer intrabar resolution. It is slower and provides less history. Uses an average minimum of 24 intrabars.
c) Fixed : Uses the fixed resolution of your choice.
Auto-Steps calculations vary for 24/7 and conventional markets in order to achieve the proper target of minimum intrabars.
You can choose to view the intrabar resolution currently used to calculate delta volume. It is the default.
The proper selection of the intrabar resolution is important. It must achieve maximal granularity to produce precise results while not unduly slowing down calculations, or worse, causing runtime errors.
8 — Markers
Six markers are available:
1. Combined Balances Agreement : All three Bar Balances are either bullish or bearish.
2. Up or Down % Agrees With Bar : An up marker will appear when the percentage of up intrabars in an up chart bar is greater than the specified percentage. Conditions mirror to down bars.
3. Divergence confirmations By Price : One of the four types of balance calculations can be used to detect divergences with price. Confirmations occur when the bar following the divergence confirms the balance bias. Note that the divergence events used here do not include neutral intrabar events.
4. Balance Transitions : Bull/bear transitions of the selected balance.
5. Markers Bias Transitions : Bull/bear transitions of the Markers Bias.
6. Divergence Confirmations By Line : Marks points where the line first breaches a divergence level.
Markers appear when the condition is detected, without delay. Since nothing is plotted in realtime, markers do not appear on the realtime bar.
9 — Settings
• Two modes can be selected to dampen the line on the ratio of neutral intrabars.
• A distinct weight can be attributed to the count of the latter half of intrabars, on the assumption that later intrabars may be more important in determining the outcome of chart bars.
• Allows control over the periods of the different moving averages used in calculations.
• The default periods used for the various calculations define the following hierarchy from slow to fast:
Balance Averages: 50,
Balance Momentum: 20,
Dual Up/Down Averages: 20,
Marker Bias: 10.
█ LIMITATIONS
• This script uses a special characteristic of the `security()` function allowing the inspection of intrabars—which is not officially supported by TradingView.
• The method used does not work on the realtime bar—only on historical bars.
• The indicator only works on some chart resolutions: 3, 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars and the stepping mechanism could require adaptation.
• When using the "Line vs Divergence Levels — Dual Color Gradient" color mode to fill the line, background or chart bars, keep in mind that a line calculation mode must be defined for it to work, as it determines gradients on the movement of the line relative to divergence levels. If the line is hidden, it will not work.
• When the difference between the chart’s resolution and the intrabar resolution is too great, runtime errors will occur. The Auto-Steps selection mechanisms should avoid this.
• Alerts do not work reliably when `security()` is used at intrabar resolutions. Accordingly, no alerts are configured in the indicator.
• The color model used in the indicator provides for fancy visuals that come at a price; when you change values in Inputs , it can take 20 seconds for the changes to materialize. Luckily, once your color setup is complete, the color model does not have a large performance impact, as in normal operation the `security()` calls will become the most important factor in determining response time. Also, once in a while a runtime error will occur when you change inputs. Just making another change will usually bring the indicator back up.
█ RAMBLINGS
Is this thing useful?
I'll let you decide. Bar Balance acts somewhat like an X-Ray on bars. The intrabars it analyzes are no secret; one can simply change the chart's resolution to see the same intrabars the indicator uses. What the indicator brings to traders is the precise count of up/down/neutral intrabars and, more importantly, the calculations it derives from them to present the information in a way that can make it easier to use in trading decisions.
How reliable is Bar Balance information?
By the same token that an up bar does not guarantee that more up bars will follow, future price movements cannot be inferred from the mere count of up/down/neutral intrabars. Price movement during any chart bar for which, let's say, 12 intrabars are analyzed, could be due to only one of those intrabars. One can thus easily see how only relying on bar balance information could be very misleading. The rationale behind Bar Balance is that when the information mined for multiple chart bars is aggregated, it can provide insight into the history behind chart bars, and thus some bias as to the strength of movements. An up chart bar where 11/12 intrabars are also up is assumed to be stronger than the same up bar where only 2/12 intrabars are up. This logic is not bulletproof, and sometimes Bar Balance will stray. Also, keep in mind that balance lines do not represent price momentum as RSI would. Bar Balance calculations have no idea where price is. Their perspective, like that of any historian, is very limited, constrained that it is to the narrow universe of up/down/neutral intrabar counts. You will thus see instances where price is moving up while Balance Momentum, for example, is moving down. When Bar Balance performs as intended, this indicates that the rally is weakening, which does necessarily imply that price will reverse. Occasionally, price will merrily continue to advance on weakening strength.
Divergences
Most of the divergence detection methods used here rely on a difference between the bias of a calculation involving a multi-bar average and a given bar's price direction. When using "Bar Balance on Bar" however, only the bar's balance and price movement are used. This is the default mode.
As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for the purported ability of bullish/bearish divergences to indicate imminent reversals.
Superfluity
In "The Bed of Procrustes", Nassim Nicholas Taleb writes: To bankrupt a fool, give him information . Bar Balance can display lots of information. While learning to use a new indicator inevitably requires an adaptation period where we put it through its paces and try out all its options, once you have become used to Bar Balance and decide to adopt it, rigorously eliminate the components you don't use and configure the remaining ones so their visual prominence reflects their relative importance in your analysis. I tried to provide flexible options for traders to control this indicator's visuals for that exact reason—not for window dressing.
█ NOTES
For traders
• To avoid misleading traders who don't read script descriptions, the indicator shows nothing in the realtime bar.
• The Data Window shows key values for the indicator.
• All gradients used in this indicator determine their brightness intensities using advances/declines in the signal—not their relative position in a fixed scale.
• Note that because of the way gradients are optimized internally, changing their brightness will sometimes require bringing down the value a few steps before you see an impact.
• Because this indicator does not use volume, it will work on all markets.
For coders
• For those interested in gradients, this script uses an advanced version of the Advance/Decline gradient function from the PineCoders Color Gradient (16 colors) Framework . It allows more precise control over the range, steps and min/max values of the gradients.
• I use the PineCoders Coding Conventions for Pine to write my scripts.
• I used functions modified from the PineCoders MTF Selection Framework for the selection of timeframes.
█ THANKS TO:
— alexgrover who helped me think through the dampening method used to attenuate signal lines on high ratios of neutral intrabars.
— A guy called Kuan who commented on a Backtest Rookies presentation of their Volume Profile indicator . The technique I use to inspect intrabars is derived from Kuan's code.
— theheirophant , my partner in the exploration of the sometimes weird abysses of `security()`’s behavior at intrabar resolutions.
— midtownsk8rguy , my brilliant companion in mining the depths of Pine graphics. He is also the co-author of the PineCoders Color Gradient Frameworks .
"imbalance" için komut dosyalarını ara
Delta Volume Columns [LucF]Displays delta volume columns using intrabar volume information. Each volume column is divided into three sections: buying, selling and neutral volume. Volume for each section is determined from the volume and price movement of each intrabar at a user-selected lower resolution.
Features include:
- Choice of color themes for either dark or light chart backgrounds
- Delta volume columns
- Volume Balance displayed as the difference between the MAs of buying and selling volume
- Display of divergences between a bar’s volume balance and the bar’s price movement (example: buying volume > selling volume but close < open). Divergences can be shown in 2 different color schemes (including green/red showing a tentative direction), on volume columns and/or on chart bars
- Display of bar by bar volume balance with highlighting of above average volume
- Display of the usual total volume MA
- Choice of the lower resolution used to retrieve intrabar information
- Alerts configurable on any combination of the markers, with control over long/short direction
- Choice of 3 different markers:
1. Double bumps: two consecutive bars where buying or selling volume is in the same direction and where volume > volume MA
2. Divergence confirmations: direction of the price bar following a price/volume balance divergence
3. Volume balance shifts: zero level crossings of the volume balance MA delta
The chart shows the two main modes of display:
- Top pane : shows the stacked volume columns with divergences in orange and the flattened volume balance MAs delta at the bottom of the volume columns. This volume balance is the same shown in the bottom pane. The top pane also shows the instant volume balance strip above the volume columns. The strip’s colors show which of the buying or selling volume was greater, and colors are brighter if the total volume was above the total volume MA.
- Bottom pane : shows the volume balance MAs delta with markers 1 and 2. Given that this graphic has no price momentum component, I find quite eerie how it often looks like a momentum-based signal.
The default 5 minute intrabar resolution is used in combination with the weekly chart, which is excessive.
This script uses a special characteristic of the security() function’s behavior when it is sent to a resolution lower than the chart’s resolution. Details are given in the script’s comments. This method has the advantage of working under more circumstances than some of the other loop-based methods, but it also has its limits.
IMPORTANT
This is what you need to know:
- The method used does not work on the realtime bar—only on historical bars. Consequently, the volume column shown on the realtime bar is a normal volume column plotted in green or red, following price movement. The column will only show delta volume information after it closes and becomes a historical bar.
- The indicator only works on some chart resolutions: 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars.
- Intrabar resolutions can be selected from 1, 5, 15, 30, 45 minutes, 1, 2, 3, 4 hours, 1 day, 1 week and 1 month. The intrabar resolution must of course be smaller than the chart’s resolution.
- Contrary to my other indicators where alerts must be configured to trigger “Once Per Bar Close” in order to avoid false triggers (or repainting), all this indicator’s alerts are designed to trigger using previous bar information since the indicator’s calculations in the realtime bar are not exact. Markers are not plotted with a negative offset; they appear at the beginning of the realtime bar following confirmation of the marker’s condition on the previous bar. Alerts for this indicator should thus be configured to trigger “Once Per Bar” so they trigger at the beginning of the realtime bar. Note that the penalty is not that great, as it is simply the instant between the close of the previous realtime bar and the opening of the next. The advantage of using this technique is that the indicator does not repaint; a marker that appears at the beginning of the realtime bar will never disappear.
- The script only plots information that is reliable in the realtime bar, i.e., total volume and markers. All other plots are set to n/a to prevent misleading traders.
- When the difference between the chart’s resolution and the lower resolution is too important, volume columns will not calculate for all bars in the dataset.
On Delta Volume
Buying or selling volume are misnomers, as every unit of volume transacted is both bought and sold by 2 different traders. There is no such thing as “buy only” or “sell only” volume, but trader lingo is riddled with original fabulations.
Without access to order book information, traders work with the assumption that when price moves up during a bar, there was more buying pressure than selling pressure. The built-in volume indicator available on TradingView uses this logic to color the volume columns green or red. While this script’s numbers are more precise because it analyses a number of intrabars to calculate its information, it uses the exact same imperfect logic to calculate its buying/selling/neutral sections.
Until Pine scripts can have access to how much volume was transacted at the bid/ask prices, our so-called buying/selling volume information will always be a mere proxy.
Divergences
You may wonder how there can be divergences between buying/selling volume information and price movement. This will sometimes be due to the methodology’s shortcomings we have just discussed, but divergences may also occur in instances where because of order book structure, it takes less volume to increase the price of an asset than it takes to decrease it.
As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for divergences. To your pattern-hungry brain, the orange bars this indicator shows on chart will—as divergences on other indicators do–appear to often indicate turnarounds. My opinion is that reality is generally quite sobering, as many who have tried building automated rules based on divergences will tell you. I do not have hard numbers on the lack of performance of divergences—only many failed attempts to make them perform, which a few experienced strategy modelers I know share with me. Please don’t try to read too much into them. While they look great on past data, I find they are often difficult to use in realtime to make bets with good odds.
Thanks to:
- A guy called Kuan who commented on a Backtest Rookies presentation of an intrabar delta volume indicator using a for loop. The heart of “my” indicator is code borrowed from Kuan; I just built a hopefully useful wrapper around it.
- @theheirophant, my partner in the exploration of the sometimes weird abysses of security() ’s behavior at lower resolutions.
Indicator: Volume Price Confirmation Indicator (VPCI)Developed by Buff Dormeier, VPCI won 2007 Charles H Dow award by the MTA. VPCI plots the relationship between price trend and the volume, as either being in a state of confirmation or contradiction.
Excerpt from article below:
"Fundamentally, the VPCI reveals the proportional imbalances between price trends and volume-adjusted price
trends. An uptrend with increasing volume is a market characterized by greed supported by the fuel needed to
grow. An uptrend without volume is complacent and reveals greed deprived of the fuel needed to sustain itself.
Investors without the influx of other investors (volume) will eventually lose interest and the uptrend should
eventually breakdown.
A falling price trend reveals a market driven by fear. A falling price trend without volume reveals apathy, fear
without increasing energy. Unlike greed, fear is self-sustaining, and may endure for long time periods without
increasing fuel or energy. Adding energy to fear can be likened to adding fuel to a fire and is generally bearish
until the VPCI reverses. In such cases, weak-minded investor's, overcome by fear, are becoming irrationally
fearful until the selling climax reaches a state of maximum homogeneity. At this point, ownership held by weak
investor’s has been purged, producing a type of heat death capitulation. These occurrences may be visualized by
the VPCI falling below the lower standard deviation of a Bollinger Band of the VPCI, and then rising above the
lower band, and forming a 'V' bottom. "
Full article: www.mta.org
Nearly all parameters are configurable and exposed via "Options" page (enable/disable BB, enable/disable breach-markings, enable/disable MA, ...).Also check the source for enabling "histogram" (difference between VPCI and MA of VPCI).
Do note that the shortTerm/longTerm lengths need tuning for your instrument. The default 5/20 is not optimal, in my quick check.
Setup Finder by cryptokazancevEnglish
The indicator helps find setups based on Smart Money instruments
What OB and FVG Are
Order Blocks (OB) are a bullish or bearish candle (or several candles) where the next candle (or a sequence of candles) impulsively engulfs the order block.
Imbalance (FVG) is a price inefficiency caused by an impulsive price move due to an abnormal dominance of supply or demand at a price level.
Indicator Settings (in Simple Terms)
Show OB — enable/disable displaying the detected order blocks on the chart.
Show FVG — enable/disable displaying the detected FVG zones.
Max OB (per side) — how many long and how many short order blocks to display at the same time.
Max FVG (per side) — how many long and how many short FVG zones to display at the same time.
Engulfing Window (candles) — how many subsequent candles are allowed to consider the order block “engulfed.”
Color Engulfing Candles — highlight candles where the engulfing occurred to make it easier to spot on history.
OB Invalidation Mode — when to consider an order block “broken” (invalid):
“50%” — the OB is considered invalid if price closes with the candle body below/above the midpoint (50%) of the order block.
“Entry Drill” — the OB becomes invalid on the first touch of the OB zone.
Size Limits via ATR
OB Size in ATR — here ATR is defined as the average candle size over the last 500 bars. It is used to determine the maximum allowed size of an order block.
FVG Size in ATR — the same, but for an FVG zone: a limit on what FVG size is considered acceptable.
Setup Search Mode
Enable Setup Search Mode — when enabled, the indicator will not display all OB and FVG, but only those that contain:
pivots, or
a Sunday Open level, or
both.
Require Pivots / Require Sunday Open — a requirement that the OB/FVG zone must contain pivots and/or Sunday Open levels (depending on the selected option).
Number of Sunday Open Levels — how many Sunday Open levels to draw on the chart.
How to use
Enable Setup Search Mode .
Turn on the requirements Require Pivots and Require Sunday Open so that only the most relevant OB/FVG zones are displayed.
Wait for price to return into the highlighted Order Block or FVG area.
On a lower timeframe, look for an entry model/confirmation, such as:
engulfing,
pin bar,
break of structure / Market Structure Shift (MSS).
Repainting
The indicator does not repaint.
Русский
Индикатор помогает находить сетапы по торговой стратегии Павла Казанцева.
Что такое OB и FVG
Ордерблоки (OB) — это бычья или медвежья свеча (или несколько свеч), при этом следующая свеча (или связка свеч) импульсно поглощает ордерблок.
Имбаланс (FVG) — это ценовая неэффективность, вызванная импульсным движением цены вследствие аномального превосходства спроса/предложения на ценовом уровне.
Настройки индикатора (простыми словами)
Показывать OB — включить/выключить отображение найденных ордерблоков на графике.
Показывать FVG — включить/выключить отображение найденных зон FVG.
Максимум OB (на сторону) — сколько лонговых и сколько шортовых ордерблоков показывать одновременно.
Максимум FVG (на сторону) — сколько лонговых и сколько шортовых зон FVG показывать одновременно.
Окно поглощения (свечей) — сколько следующих свечей допускается, чтобы считать, что ордерблок был “поглощён”.
Окрашивать поглощённые свечи — подсвечивать свечи, где произошло поглощение, чтобы проще было искать это на истории.
Режим инвалидации OB — когда считать ордерблок “сломавшимся” (недействительным):
“50%” — OB считается недействительным, если цена закрепилась телом свечи ниже/выше середины (50%) ордерблока.
“Entry Drill” — OB становится недействительным при первом касании зоны OB.
Ограничение размеров через ATR
Размер OB в ATR — ATR здесь понимается как средний размер свечей за последние 500 баров. От него считается, какой максимальный размер ордерблока допустим.
Размер FVG в ATR — то же самое, но для зоны FVG: ограничение, какой размер FVG считается допустимым.
Режим поиска сетапов
Включить режим поиска сетапов — если включить, индикатор будет показывать не все OB и FVG, а только те, внутри которых есть:
пивоты, или
уровень Sunday Open, или
и то, и другое.
Обязательно Пивоты / Обязательно Sunday Open — требование, чтобы в зоне OB/FVG обязательно были пивоты и/или уровни Sunday Open (в зависимости от выбранной опции).
Количество уровней Sunday Open — сколько уровней Sunday Open рисовать на графике.
Как пользоваться
Включите режим поиска сетапов .
Активируйте требования Обязательно Пивоты и Обязательно Sunday Open , чтобы отображались только наиболее релевантные зоны OB/FVG.
Дождитесь, когда цена вернётся в отмеченный диапазон ордерблока или FVG .
На младшем таймфрейме найдите модель входа/подтверждение, например:
поглощение,
пинбар,
слом структуры / Market Structure Shift (MSS).
Перерисовка
Индикатор ничего не перерисовывает.
FVG Long Zones w/ Proper Logic + ConfluencesThis script identifies **bullish Fair Value Gaps (FVGs)** using a 3-candle imbalance (high two bars ago below the current low), marks them as potential long zones, and looks for a single long entry when price retraces into the gap. Entries are filtered by **trend (price above EMA-50)**, **momentum/mean reversion (RSI ≤ 50)**, and a **bullish candle**, with risk defined from the FVG low and a configurable risk-to-reward take-profit. It visually plots the FVG zone, entry label, and projected SL/TP levels, allowing only one trade per detected FVG.
Smart Money Pressure DifferentialPurpose
The Smart Money Pressure Differential (SMPD) is built to reveal the underlying tug‑of‑war between informed volume flows represented by NVI and reactive volume flows represented by PVI, using a clean statistical framework. Instead of relying on raw NVI or PVI, which drift over time and are not directly comparable, the script isolates pressure deviations by measuring how far each index moves away from its own long‑term expectation. By standardizing these deviations, SMPD produces a stable, volatility‑normalized spread that highlights accumulation, distribution, and regime transitions with far greater clarity than traditional volume indicators.
How It Works
The script computes NVI and PVI, scales them, and subtracts their EMAs to extract deviation‑from‑trend pressure, with optional WMA smoothing to reduce micro‑noise. Each deviation series is then standardized independently using rolling mean and standard deviation, ensuring both NVI and PVI operate on equal statistical footing. Their difference becomes the SMPD spread, a normalized measure of which side is exerting more pressure. A second layer applies log‑ROC to capture acceleration rather than level, and these acceleration signals can be plotted as dotted lines. Standard deviation reference levels at 0, 1, 2, and 3 provide a consistent frame for interpreting extreme pressure events.
Rationale
This architecture solves structural weaknesses found in most volume‑based tools, particularly scale drift, volatility collapse, and the instability of cumulative indicators. Standardizing before differencing prevents one index from overpowering the other, ensuring the spread reflects true pressure imbalance rather than structural bias. The log‑ROC layer adds a stable acceleration measure that avoids the distortions of classic ROC when values approach zero. The result is a regime‑independent engine, producing signals that remain comparable across assets, timeframes, and market conditions. SMPD therefore becomes a robust diagnostic tool for identifying when smart‑money pressure is building, fading, or reversing, without relying on arbitrary thresholds or bounded oscillators that distort signal strength.
Impulse Move FVG TrackerThis script identifies strong directional impulse moves and automatically plots Fair Value Gaps (FVGs) only in locations that are contextually relevant to those moves. It tracks consecutive candle bodies to determine when a large move up or down has occurred, calculates the midpoint of that impulse, and then displays bullish FVGs above the midpoint after strong upward moves and bearish FVGs below the midpoint after strong downward moves. The script operates only within a user-selected, scrollable time-of-day window and allows full control over FVG colors, extension length, minimum impulse size, and how many of the most recent FVGs remain on the chart. It is designed to reduce noise by showing FVGs only where price displacement suggests meaningful imbalance rather than marking every gap indiscriminately.
Volume Delta MontoscaTechnical Summary: Volume Delta Montosca + Market Bias V3
The Volume Delta Montosca + Market Bias V3 is a multi-layered analysis tool designed to decode market sentiment through volume decomposition and relative strength. Instead of looking at volume as a single metric, this indicator splits every bar into its buy and sell components to reveal the true intent behind price movements.
Core Volume Analysis and Delta Logic
The indicator uses a calculation based on price movement within each bar to estimate Buy and Sell Delta. It measures the relationship between the close, high, and low to determine how much of the total volume was aggressive buying versus aggressive selling. Users can define a Dominance Threshold (typically 80%), which acts as a filter to identify bars where one side has a "substantial majority," effectively ignoring noise and focusing on high-conviction moves.
Signal Generation and FVG Filtering
Signals are categorized into two levels of importance. Base Signals (represented by small circles) occur when there is a significant volume spike—defined by a 20-period SMA—combined with high dominance. However, the indicator also features an internal Fair Value Gap (FVG) Filter. When price action "inverts" or breaks through a recent price imbalance while showing dominant volume, the indicator triggers a High-Priority Signal (represented by triangles). This specific logic ensures that signals are not just based on volume, but on the successful reclamation of key price areas.
Dynamic Market Bias and Comparative Strength
Beyond individual asset analysis, the script includes a Market Bias Engine that compares the current ticker against a benchmark, such as the S&P 500 (ES1!). It calculates a ratio between the two assets and applies a "Volume Supremacy" logic. If the current asset shows expanding volume and higher dominance percentages than the benchmark, the Bias Panel updates to show which asset is leading the market. This allows traders to see at a glance if they are trading the strongest available asset or if the broader market bias is shifting against them.
Visual Elements and Customization
The tool offers a clean visual experience by plotting a dual-colored histogram where the dominant volume color takes priority. It also includes Volume Candles, which paint the bars on the main chart to match the volume sentiment, and Top Diamonds to mark the peaks of volume expansion. All features, including the FVG lookback range and the SMA adjustment factor, are fully customizable to fit different trading timeframes and styles.
Engulfing Breakout StructureEngulfing Breakout Structure (EBS)
" Identify High-Probability Market Structures, Not Just Patterns. "
The E ngulfing Breakout Structure (EBS) is a professional-grade analysis tool designed to filter market noise and identify the true origins of significant price movements. While standard Engulfing patterns occur frequently, many lead to "fakeouts" within a range. EBS solves this by treating an engulfing candle as a potential "structure" that is only validated once a decisive Break-away occurs.
How it Works: The EBS Logic
Unlike traditional indicators that plot signals immediately, EBS follows a strict confirmation process:
Structure Formation (Invisible): The script internally tracks "Candidate" engulfing candles.
Break-away Validation: The structure is only drawn on the chart after price aggressively breaks out of the engulfing range, accompanied by a Fair Value Gap (FVG).
Historical Anchoring: Once confirmed, the block is plotted back to its origin, highlighting the exact zone where the market imbalance was created.
Key Features
Break-away Filter: Eliminates low-probability signals by ensuring price has left the "zone of indecision."
Dynamic Structure Plotting: Automatically draws the supply/demand blocks that acted as the catalyst for the breakout.
Smart FVG Integration: Detects and highlights the gaps created during the breakout, providing additional confluence for entry.
EBS Break-away Confirmed: Triggered the moment a new structure is validated by a decisive price breakout. This alert signals that a new supply or demand zone has been established.
EBS Structure Tested (Mitigation): Triggered when price returns to touch a previously confirmed EBS block. This "Mitigation" often presents the highest risk-to-reward entry opportunity as it tests the origin of the breakout.
Trading Strategy
The Breakout (Aggressive): Enter as soon as the EBS block and FVG appear, following the momentum.
The Retest (Conservative): Wait for price to return and "mitigate" the EBS block. This retest of a confirmed breakout structure is a classic institutional entry pattern.
Predictive Candle and Accuracy CoreThis Predictive Candle – Accuracy Core indicator is designed to project the likely direction and size of the next candle based on market microstructure, volatility, momentum, and volume dynamics. It calculates a delta-based volume imbalance, RSI, EMA distances, ATR, and ADX to assess both the strength and trend of the market. The script applies a market regime filter to allow predictions only when trends are strong and aligned, then computes weighted bullish and bearish scores, normalizes them into probabilities, and self-measures its historical accuracy. Using this, it projects the next candle’s body and wicks, color-coded green or red for bullish or bearish, with a confidence percentage label. The projection adjusts dynamically for volatility, ADX strength, and prediction accuracy, providing traders with a quantitative, adaptive visual cue for potential price movement without repainting.
Asian Liquidity Sweep + NY Reversal [NY Only]Asian Liquidity Sweep + NY Reversal
Concept
Asia builds a tight range → liquidity pool
London / early NY raids that liquidity (stop hunt)
New York delivers the real move in the opposite direction
Sessions utc+3
Asia range: 04:00 – 10:00
Liquidity sweep: London open → pre-NY (≈10:00–14:00)
Execution window: NY Kill Zone 15:00 – 18:00
Step-by-Step Model
Define Asia Range
Mark:
Asia High
Asia Low
Liquidity Sweep (Stop Hunt)
Price must do ONE of the following:
Sweep above Asia High → bullish liquidity taken
Sweep below Asia Low → bearish liquidity taken
NY Reversal Confirmation (Key Part)
Wait for NY Kill Zone and look for:
Strong rejection candle
Displacement / impulsive move back inside range
Optional: small internal structure break on lower TF
Entry Rules (High Probability)
🔻 If Asia High is swept:
Bias: SELL
Entry:
After NY rejection
On pullback to:
Discount zone / FVG
OR Asia High retest
SL: Above sweep high
TP:
Asia Low (TP1)
NY session low / next HTF liquidity (TP2)
If Asia Low is swept:
Bias: BUY
Entry:
NY rejection + displacement
Pullback to imbalance / Asia Low
SL: Below sweep low
TP:
Asia High
Daily high / premium liquidity
arrows/labels-will show when to buy or sell
signal-once per day
Use volume profile (max) for confirmation of entry point
Lets win together
Mean Reversion Mirror📌 Mean Reversion Mirror — Multi‑Level Mean Reversion Strategy
Mean Reversion Mirror is an advanced modular mean‑reversion strategy built around dynamic and static deviation levels from a moving average.
The strategy automatically scales into positions across six levels (LONG and SHORT), using both dynamic MA‑based deviation levels and static levels that lock in after entry.
🔍 Core Concept
Price tends to revert toward its mean.
This strategy exploits that behavior by opening an initial base entry at the first deviation and adding positions as the imbalance grows.
Each additional level improves the average entry price and increases the probability of exiting profitably.
⚙️ Key Features
📈 Six Dynamic Deviation Levels
Levels are calculated as percentage deviations from a selected MA (WMA, SMA, EMA, RMA, HMA).
This makes the strategy adaptive to volatility and market structure.
📉 Six Static Levels
Once triggered, each level becomes fixed and no longer changes.
This creates a stable averaging grid independent of future MA movement.
🎯 Flexible Take‑Profit System
fixed take‑profit
or trailing take‑profit with dynamic offset
🖐 Manual Entry Support
You can manually set a price for LONG or SHORT, and the strategy will execute the base entry automatically.
📊 Rich Visualization
dynamic deviation levels
static levels
dotted “last chance” levels
average position price
take‑profit line
compact mini‑table with key position metrics
📦 Two Operating Modes
STK Mode — fixed unit size
Classic Mode — quantity calculated from USD value
🧠 Entry Logic
The strategy uses sequences B1–B6 (LONG) and S1–S6 (SHORT):
B1/S1 — base entry
B2–B6 / S2–S6 — averaging entries as deviation increases
L6/S6 — “last chance” level with its own size
Each level activates only after the previous one.
📌 Who This Strategy Is For
mean‑reversion traders
grid/averaging system users
pullback‑based investors
traders who want clear visual levels
users who prefer manual control over entry points
⚠️ Disclaimer
This strategy is not financial advice.
Always backtest and adjust parameters according to your risk tolerance before using it in live markets.
All OB + FVG + Overlap Zones + Alerts (v6 safe)//@version=6
indicator(
"All OB + FVG + Overlap Zones + Alerts (v6 safe)",
overlay = true
)
// === USER INPUTS ===
maxBarsBack = input.int(500, "Max Bars Back to Display OB/FVG", minval = 1)
extendBars = input.int(10, "Extend OB/FVG Boxes Forward", minval = 1)
// === COLORS ===
bullOBColor = color.rgb(139, 0, 0) // Deep Red
bearOBColor = color.rgb(75, 0, 130) // Deep Purple
bullFVGColor = color.rgb(0, 100, 0) // Deep Green
bearFVGColor = color.rgb(184, 134, 11) // Deep Yellow
overlapColor = color.rgb(0, 255, 255) // Cyan for OB+FVG overlap
// === HELPER FUNCTION ===
inRange(offset) =>
bar_index - offset >= last_bar_index - maxBarsBack
// === ORDER BLOCK LOGIC ===
bullOB = close < open and close > open
bearOB = close > open and close < open
// === COLOR OB CANDLE ===
barcolor(
bullOB and inRange(1) ? bullOBColor :
bearOB and inRange(1) ? bearOBColor :
na,
offset = -1
)
// === DRAW EXTENDED OB BOXES ===
if bullOB and inRange(1)
box.new(
left = bar_index - 1,
right = bar_index - 1 + extendBars,
top = high ,
bottom = low ,
bgcolor = color.new(bullOBColor, 70),
border_color = bullOBColor
)
if bearOB and inRange(1)
box.new(
left = bar_index - 1,
right = bar_index - 1 + extendBars,
top = high ,
bottom = low ,
bgcolor = color.new(bearOBColor, 70),
border_color = bearOBColor
)
// === FVG LOGIC (3-candle imbalance) ===
bullFVGFormed = low > high
bearFVGFormed = high < low
// === DRAW FVG BOXES AND STORE TOP/BOTTOM ===
var float bullFVGTop = array.new_float()
var float bullFVGBot = array.new_float()
var float bearFVGTop = array.new_float()
var float bearFVGBot = array.new_float()
var box bullFVGBoxes = array.new_box()
var box bearFVGBoxes = array.new_box()
if bullFVGFormed and inRange(2)
fvgBox = box.new(
left = bar_index - 2,
right = bar_index - 2 + extendBars,
top = low,
bottom = high ,
bgcolor = color.new(bullFVGColor, 80),
border_color = bullFVGColor
)
array.push(bullFVGBoxes, fvgBox)
array.push(bullFVGTop, low)
array.push(bullFVGBot, high )
if bearFVGFormed and inRange(2)
fvgBox = box.new(
left = bar_index - 2,
right = bar_index - 2 + extendBars,
top = high,
bottom = low ,
bgcolor = color.new(bearFVGColor, 80),
border_color = bearFVGColor
)
array.push(bearFVGBoxes, fvgBox)
array.push(bearFVGTop, high)
array.push(bearFVGBot, low )
// === CHECK AND HIGHLIGHT OB + FVG OVERLAPS ===
var float overlapLevelsTop = array.new_float()
var float overlapLevelsBot = array.new_float()
if bullOB and inRange(1) and array.size(bullFVGBoxes) > 0
for i = 0 to array.size(bullFVGBoxes) - 1
obTop = high
obBot = low
fvgTop = array.get(bullFVGTop, i)
fvgBot = array.get(bullFVGBot, i)
overlapTop = math.min(obTop, fvgTop)
overlapBot = math.max(obBot, fvgBot)
if overlapTop > overlapBot
box.new(
left = bar_index - 1,
right = bar_index - 1 + extendBars,
top = overlapTop,
bottom = overlapBot,
bgcolor = color.new(overlapColor, 80),
border_color = overlapColor
)
array.push(overlapLevelsTop, overlapTop)
array.push(overlapLevelsBot, overlapBot)
if bearOB and inRange(1) and array.size(bearFVGBoxes) > 0
for i = 0 to array.size(bearFVGBoxes) - 1
obTop = high
obBot = low
fvgTop = array.get(bearFVGTop, i)
fvgBot = array.get(bearFVGBot, i)
overlapTop = math.min(obTop, fvgTop)
overlapBot = math.max(obBot, fvgBot)
if overlapTop > overlapBot
box.new(
left = bar_index - 1,
right = bar_index - 1 + extendBars,
top = overlapTop,
bottom = overlapBot,
bgcolor = color.new(overlapColor, 80),
border_color = overlapColor
)
array.push(overlapLevelsTop, overlapTop)
array.push(overlapLevelsBot, overlapBot)
// === ALERT CONDITIONS ===
overlapAlert = false
for i = 0 to array.size(overlapLevelsTop) - 1
if close <= array.get(overlapLevelsTop, i) and close >= array.get(overlapLevelsBot, i)
overlapAlert := true
// === ALERTCONDITION (v6 compatible) ===
alertcondition(overlapAlert, "OB + FVG Overlap", "⚡ Price entered an OB + FVG overlap zone! ⚡")
alertcondition(bullOB, "Bullish OB Formed", "🔴 Bullish OB formed!")
alertcondition(bearOB, "Bearish OB Formed", "🟣 Bearish OB formed!")
Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine
What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself.
"Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma"
Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it.
Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts.
Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data.
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WHY THIRD-DERIVATIVE ANALYSIS?
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The Hierarchy of Market Information
Most traders operate at the wrong level of abstraction:
• Price → What happened (lagging)
• Momentum → How fast it happened (still lagging)
• Gamma (2nd Derivative) → How momentum is changing (coincident)
• Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading )
The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable.
Why This Beats RSI
RSI measures momentum magnitude. GoG measures momentum trajectory .
Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent).
RSI answers: "How strong was the move?"
GoG answers: "Is the move strengthening or weakening right now ?"
The first is historical. The second is predictive.
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MATHEMATICAL FOUNDATION
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Layer 1: Cumulative Volume Delta (CVD)
The foundation is order flow approximation:
• Up bar (close > prior close): Volume classified as buying pressure
• Down bar (close < prior close): Volume classified as selling pressure
• CVD = Running sum of signed volume
Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals.
Layer 2: Gamma (Second Derivative)
Gamma measures acceleration of order flow:
Formula: Gamma = CVD - 2×CVD + CVD
This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating.
Layer 3: Gamma of Gamma (Third Derivative)
GoG measures jerk — the acceleration of acceleration:
Formula: GoG = Gamma - 2×Gamma + Gamma
Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse.
Layer 4: Z-Score Normalization
Raw GoG values are normalized against their 50-period distribution:
Formula: GoG_Z = (GoG - Mean_50) / StdDev_50
Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes.
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SIGNAL GENERATION LOGIC
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Long Signal (Bullish Anticipation)
Triggers when:
• GoG Z-score < -Threshold (default -2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in.
Short Signal (Bearish Anticipation)
Triggers when:
• GoG Z-score > +Threshold (default +2.0)
• Volume > Average Volume × Minimum Multiple (default 1.2×)
Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes.
Why Volume Confirmation?
Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods.
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CONFIDENCE ENGINE
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Not all signals are equal. The Confidence Engine quantifies signal strength:
Confidence Calculation:
Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100
Capped at 100%
Visual Representation:
• Small orb = Low confidence (50-65%)
• Normal orb = Medium confidence (65-80%)
• Large orb = High confidence (80-100%)
Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention.
Practical Use:
• High confidence (>80%): Consider larger position size, tighter stops
• Medium confidence (50-80%): Standard position size
• Low confidence (<50%): Reduced size or wait for confirmation
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INTEGRATED BACKTESTER
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Every signal system needs accountability. The onboard backtester provides real-time performance tracking:
Core Metrics:
• Total Trades
• Win Rate
• Profit Factor
• Expectancy (average P&L per trade)
• Net P&L
• Max Drawdown
• Average Win / Average Loss
Methodology:
• Positions held for configurable bar count (default 10 bars)
• Forces objective evaluation independent of discretionary exits
• Updates in real-time as new trades complete
Optimizer Mode:
Enable for parameter tuning research:
• Stability Score (0-100 points): Composite evaluation of parameter robustness
• Trade Density : Signals per 1000 bars — monitors over/under-trading
• Parameter Display : Current settings for documentation
• Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT
Stability Scoring Breakdown:
• Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points
• Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points
• Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points
• Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points
Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk.
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CHART EXECUTION SIGNALS
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Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane.
Visual Markers:
• ▲ Green Triangle (below bar): Long entry at exact price level
• ▼ Red Triangle (above bar): Short entry at exact price level
• ✕ Gold X-Cross : Position exit after hold period
Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes.
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DUAL DASHBOARD SYSTEM
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Main Dashboard — Real-Time State
Displays:
• Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL)
• GoG Z-Score (numerical)
• Raw GoG value
• Gamma value
• CVD (Cumulative Volume Delta)
• Volume status (Active/Low with ratio)
• Signal state (Scanning / Long Signal / Short Signal / In Position)
• Confidence meter with visual bar
• Entry price when in position
Backtest Dashboard — Performance Metrics
Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled.
Both dashboards feature:
• Configurable position (6 locations including Middle Left/Right)
• Adjustable text size (Tiny/Small/Normal/Large)
• Transparency control for visual integration
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PARAMETER GUIDE
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Calculation Settings
• GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0
• Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20
• GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20
• Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0
Backtester Settings
• Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style.
• Parameter Optimizer Mode : Enables extended metrics for tuning research.
Tuning by Timeframe
Scalping (1-5 min):
Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars
Day Trading (15-60 min):
Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars
Swing Trading (4H-Daily):
Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars
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HOW TO USE: PRACTICAL WORKFLOW
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Step 1: Identify Regime
Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal.
Step 2: Wait for Extreme
When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart.
Step 3: Assess Confidence
Check orb size and dashboard confidence reading:
• Large bright orb + 80%+ confidence = High conviction setup
• Small faint orb + <60% confidence = Requires additional confirmation
Step 4: Execute with Context
GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry.
Step 5: Manage Position
Exit markers show backtester exits. For live trading, consider:
• Time-based exit (signal's hold period)
• Opposite signal exit
• Fixed R:R targets
Step 6: Review Performance
Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions.
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WHAT THIS INDICATOR IS — AND ISN'T
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This Indicator IS:
✅ State-transition detector (balance → imbalance)
✅ Early warning system for momentum shifts
✅ Anticipation tool for pre-positioning
✅ Statistical framework with built-in accountability
This Indicator IS NOT:
❌ Mechanical buy/sell system (requires discretion)
❌ Trend-following indicator
❌ Reversal-only indicator
❌ Replacement for risk management
Best Use Cases:
• Detecting early reversals before obvious confirmation
• Anticipating breakouts during volatility compression
• Timing pullback entries in established trends
• Identifying exhaustion at momentum climaxes
Challenging Conditions:
• Extremely low volume environments
• News-driven gaps (no order flow to measure)
• Instruments with unreliable volume data
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ORIGINALITY STATEMENT
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Innovation 1: Third-Derivative Order Flow Analysis
While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely.
Innovation 2: Z-Score Adaptive Thresholds
Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument.
Innovation 3: Confidence-Weighted Visual System
Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter.
Innovation 4: Integrated Accountability
Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required.
Innovation 5: Dual-Pane Execution Visualization
Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review.
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LIMITATIONS & DISCLAIMERS
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Technical Limitations
• Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data.
• CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets.
• Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management.
Market Limitations
• Requires meaningful volume data. Avoid instruments with reported volume issues.
• Signals may cluster during high-volatility events. Not every signal should be traded.
• Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing.
Risk Disclosure
• Trading involves risk of loss. Past performance does not guarantee future results.
• This indicator provides analysis tools, not financial advice.
• Always use proper position sizing and risk management.
• Backtest results are hypothetical and do not include slippage, commissions, or fees.
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RECOMMENDED SETTINGS BY MARKET
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Crypto (BTC, ETH, SOL)
Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H
Notes: Higher volatility produces more signals. Consider higher threshold to filter.
Forex Majors (EURUSD, GBPUSD)
Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H
Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately.
Stocks (Large Cap)
Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily
Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions.
Futures (ES, NQ, CL)
Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H
Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only.
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CONCLUSION
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Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum.
By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable.
This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen.
Stop chasing. Start anticipating.
RSI tells you where momentum was. GoG tells you where it's going.
Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume)
AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments.
It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders.
Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC.
🔹 Core Features
Session-Anchored Value Area
Value Area is built only during the selected session
Resets cleanly at session start
Levels develop during the session and can be extended forward
No repainting or shifting due to lookback changes
TPO or Volume Mode
TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data
Volume mode – uses broker volume if preferred
Same logic, different weighting method
Fixed Price Bin Size
Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100)
Produces cleaner, more realistic VAH/VAL levels
Avoids distorted profiles caused by dynamic bin scaling
VAH / VAL / POC Levels
VAH (Value Area High)
VAL (Value Area Low)
POC (Point of Control) (optional)
Lines can be extended to act as forward reference levels
🔹 Trading Signals & Alerts
Value Re-Entry
Identifies false breakouts where price:
Trades outside value
Then closes back inside
Often seen before strong mean-reversion or continuation moves.
Acceptance
Detects initiative activity using:
Multiple consecutive closes outside value
Filters out weak single-candle breaks
Rejection
Flags strong rejection candles:
Large candle body
Wick outside value
Close back inside the value area
These conditions are especially effective on Gold intraday.
🔹 Optional Profile Histogram
Right-side volume/TPO histogram
Buy/sell imbalance visualization
Fully optional to reduce chart clutter and improve performance
🔹 Best Use Cases
Recommended markets
XAUUSD (Gold)
NAS100 / US100
Other index or metal CFDs
Recommended timeframes
5m, 15m, 30m
Suggested settings
Mode: TPO
Value Area: 70%
Bin size:
Gold: 0.10
NAS100: 0.25 or 0.50
🔹 How Traders Use It
Trade rejections at VAH / VAL
Look for acceptance to confirm trend days
Use re-entries to fade failed breakouts
Combine with trend filters, EMA structure, or session context
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Mismatch Strategy | Madrimov tradeTitle
Mismatch Strategy by Madrimov trade – Gold vs DXY Impulse and Compression
Description
Concept
This indicator is based on a cross-market mismatch principle between Gold (XAUUSD) and the US Dollar Index (DXY).
It looks for situations where DXY expands aggressively while Gold temporarily fails to respond, creating a build-up of directional pressure that is often released once Gold breaks its short-term range.
Methodology (High-Level Overview)
The script evaluates three conditions on the same chart timeframe:
DXY Impulse Detection
A directional impulse on DXY is detected when the candle’s range exceeds a multiple of its ATR, indicating unusually strong participation rather than normal fluctuation.
Gold Compression Filter
At the same time, Gold must remain compressed, defined as a candle range significantly smaller than its own ATR.
This represents under-reaction or absorption despite external pressure.
Delayed Breakout Confirmation
Trades are triggered only after the mismatch occurs and Gold subsequently breaks its recent high or low over a configurable lookback period.
This delay avoids chasing impulses and focuses on release after compression.
Why This Is Different
Unlike traditional trend or correlation indicators, this script does not trade direction directly.
Instead, it evaluates effort versus response across two related markets, filtering out low-quality momentum and false breakouts.
The strategy focuses on:
Cross-asset pressure imbalance
Volatility-normalized conditions
Sequential confirmation rather than instant signals
How to Use
Designed primarily for XAUUSD charts
Works best on intraday timeframes (5m–15m)
Signals are strongest when aligned with higher-timeframe bias
Buy and sell signals are plotted directly on candles
Optional RR visualization can be enabled for reference
Limitations
Not predictive; signals are generated after candle close
Performance degrades during extremely low-liquidity or news-driven spikes
Intended as a decision-support tool, not a standalone trading system
Smart Money Structure | GainzAlgo📊 OVERVIEW:
================
Smart Money Structure Analysis is a professional-grade market structure and order-flow system designed to identify institutional trading behavior through volatility-adaptive logic, multi-timeframe trend alignment, and volume-based confirmation.
This indicator implements original mathematical models to detect Change of Character (CHoCH), Break of Structure (BOS), cumulative volume dynamics, and trend convergence across seven timeframes — delivering high-probability trade signals with significantly reduced noise.
Unlike basic indicator combinations, this system functions as a unified trading framework, where volatility adaptation, structure analysis, and volume confirmation continuously reinforce each other to provide precise, context-aware signals.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
=====================================================
This is not a collection of common indicators placed together.
Smart Money Structure Analysis represents a cohesive institutional methodology, engineered so that:
- Volatility adjusts signal sensitivity in real time
- Multi-timeframe trends define directional bias
- Market structure determines timing
- Volume confirms institutional participation
- Advanced filters eliminate low-quality setups
Each component is mathematically linked to the others, creating a workflow that cannot be replicated by stacking separate indicators.
🔗 SYNERGISTIC INTEGRATION – HOW THE SYSTEM WORKS TOGETHER:
==========================================================
🧠 1. CONTEXT-AWARE VOLATILITY ADAPTATION
ATR-based volatility logic dynamically adjusts all momentum thresholds:
- Higher volatility → stronger confirmation required
- Lower volatility → sensitivity increases to capture valid moves
This prevents over-signaling in choppy markets and under-signaling during expansion phases — a core flaw in static indicators.
📐 2. MULTI-TIMEFRAME TREND CONVERGENCE ENGINE
Seven timeframes are analyzed simultaneously:
1M • 5M • 15M • 30M • 1H • 4H • 1D
Each timeframe is scored using EMA + VWAP alignment, producing a composite Trend Strength Score from -100 to +100.
The stronger the alignment across timeframes, the higher the probability of continuation — instantly visible through the real-time dashboard.
🏗️ 3. INSTITUTIONAL MARKET STRUCTURE (CHoCH & BOS)
The system automatically identifies the two core smart money concepts:
- CHoCH (Change of Character):
Signals potential trend exhaustion or reversal zones
- BOS (Break of Structure):
Confirms trend continuation and institutional commitment
Structure zones are visualized with persistent, color-coded levels and clouds, providing precise contextual timing rather than lagging signals.
📊 4. CUMULATIVE VOLUME DELTA (CVD) CONFIRMATION
CVD tracks the cumulative difference between buying and selling pressure:
- Rising CVD → accumulation
- Falling CVD → distribution
- Divergence vs price → early reversal warning
Volume participation is categorized into Low / Medium / High, adding depth beyond simple volume bars.
🛡️ 5. SIX-LAYER PROFESSIONAL SIGNAL FILTERING
Every signal must pass through up to six independent confirmation layers:
1. Volatility-adjusted momentum
2. Higher timeframe trend alignment
3. Lower timeframe conflict prevention
4. Institutional volume confirmation
5. Structural breakout validation
6. Repeated-signal restriction
This dramatically reduces false positives while preserving only high-quality institutional setups.
🧮 DETAILED CORE SYSTEMS:
========================
📏 ADAPTIVE MOMENTUM FORMULA
- Momentum Threshold = Base × (1 + (ATR ÷ Price) × 2)
- Pre-Momentum Factor = Base × (1 − (ATR ÷ Price) × 0.5)
📊 TREND STRENGTH CALCULATION
- Trend Strength = (Sum of 7 timeframe scores ÷ 7) × 100
📦 CVD LOGIC
- Close > Previous Close → Buy volume added
- Close < Previous Close → Sell volume subtracted
- Cumulative sum reveals institutional intent
🧠 STRUCTURE DETECTION
- Pivot-based swing logic
- Candle confirmation
- Configurable lookback periods
- Non-repainting visualization
🧩 ADVANCED ANALYSIS TOOLS:
==========================
🧲 LIQUIDITY ZONE DETECTION
Identifies probable retail stop-loss clusters where institutions often initiate stop hunts before true directional moves.
📦 MARKET PROFILE & ORDER FLOW IMBALANCE
Detects buy/sell dominance using volume ratios, highlighting accumulation and distribution zones before large price moves.
🔄 RSI DIVERGENCE SCANNER
Identifies bullish and bearish divergences that frequently precede structure shifts and trend reversals.
🎨 VISUAL SYSTEM & DASHBOARD:
============================
📊 SMART MONEY MATRIX
- Composite trend strength
- System confidence %
- CVD value
- Directional grid for all timeframes
📈 TREND PREDICTION MATRIX (Optional)
Forecasts short-term directional bias using trend, momentum, and volatility data.
🏷️ SIGNAL LABELS
- BUY / SELL → Fully confirmed entries
- READY → Momentum building
- BOS / CHoCH → Structure events
- FLOW / LIQ / BULL / BEAR → Advanced confirmations
⚙️ CORE FEATURES:
================
1. Multi-Timeframe Trend Convergence
2. Smart Money Structure Detection (CHoCH & BOS)
3. Adaptive Volatility-Based Momentum
4. Cumulative Volume Delta (CVD)
5. Six-Layer Signal Filtering
6. Liquidity Zone Detection
7. Order Flow & Market Profile Analysis
8. Divergence Scanner
9. Dynamic Trendlines
10. Institutional-Grade Dashboard
📘 WHO THIS INDICATOR IS FOR:
============================
- Scalpers: Noise-filtered precision on lower timeframes
- Day Traders: High-probability continuation setups
- Swing Traders: Multi-timeframe alignment & structure zones
- Reversal Traders: Divergence + CHoCH confirmation
⚠️ IMPORTANT DISCLAIMER:
========================
This indicator is a technical analysis and educational tool only.
It does not provide financial advice or trade recommendations.
Trading involves substantial risk, and losses are a natural part of trading.
Past performance does not guarantee future results.
All trading decisions remain the sole responsibility of the user.
CandelaCharts - SMT 📝 Overview
The CandelaCharts – SMT indicator is a professional-grade Smart Money Technique (SMT) divergence detector designed to compare price action between correlated markets (intermarket analysis).
It identifies moments where the main chart makes a swing high or low while one or more comparison symbols fail to confirm the move—revealing potential institutional imbalance, distribution, or accumulation .
By automatically detecting pivot-based divergences and drawing clean, contextual lines and labels directly on price, SMT helps traders spot high-probability reversal or continuation zones driven by relative strength and weakness across markets.
📦 Features
Automatic SMT divergence detection – Identifies divergences between the main chart and up to two comparison symbols.
Pivot-based logic – Uses swing highs and swing lows to ensure structurally meaningful SMT signals.
Dual-symbol comparison – Compare the main market against one or two correlated instruments simultaneously.
Bullish & bearish SMT filtering – Show only bullish, bearish, or both divergence types.
Clear visual mapping – Divergence lines are drawn directly between pivots for intuitive price-context reading.
Smart labels – Compact labels display symbol(s), volume, and directional markers.
Detailed tooltips – Hover tooltips include divergence type, symbols involved, prices, volume, timestamps, and pivot settings.
Highly customizable visuals – Control colors, line width, and label styling.
⚙️ Settings
Lookback – Pivot lookback length used to detect swing highs and lows. Higher values produce fewer but more significant SMT signals.
Bias – Control which SMTs are displayed: Both, Bearish or Bullish
Swing High Color – Line and label color for SMT at swing highs.
Swing Low Color – Line and label color for SMT at swing lows.
Line Width – Thickness of SMT divergence lines.
Symbol 1 – Enable and select the first comparison instrument (e.g., NQ vs ES).
Symbol 2 – Enable and select the second comparison instrument (optional).
⚡️ Showcase
Bullish and Bearish SMTs
Bearish SMTs
Bullish SMTs
🚨 Alerts
This indicator does not include built-in alert conditions.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. Trading and investing involve substantial risk, and losses can exceed expectations. Past performance is not indicative of future results. You are solely responsible for your trading decisions. CandelaCharts assumes no liability for any outcomes resulting from the use of this indicator.
CBDR Standard Deviation V2CBDR
Standard Deviation measures how far price statistically deviates from the central bank dealer range before institutional rebalancing occurs. CBDR defines fair value, while standard deviation highlights liquidity expansion zones. Moves into ±2 SD or beyond often signal stop-loss sweeps and inventory imbalance, where institutions favor mean reversion, not breakouts.
CBDR SD Core Checklist
□ Daily IPDA bias defined
□ Clean CBDR formed (Asia / early London)
□ CBDR high & low marked
□ ±1 and ±2 SD levels plotted
□ Liquidity sweep beyond CBDR
□ No high-impact news in session
CBDR SD Reversal Trade Checklist
□ Price taps ±2 SD or ±2.5 SD
□ Clear rejection (wick / displacement)
□ Entry against the expansion, not on breakout
□ Stop placed beyond liquidity extreme
□ TP1: CBDR boundary
□ TP2: CBDR midpoint (mean)
□ TP3 (optional): Opposite CBDR extreme
□ Invalidate if strong trend displacement continues
This reversal model captures institutional fade trades after liquidity is harvested, keeping execution statistical, disciplined, and prop-firm resilient.
5 Layer Script FVG P3 Identifier Package True vs FalseThis script is a Fair Value Gap (FVG) identification framework designed to highlight price inefficiencies created by displacement, not to predict reversals or force entries. The script automatically detects and plots true three candle fair value gaps, allowing traders to objectively identify areas where price moved with imbalance and may later seek re-equilibration. Where you will see the FVG will update from a regular fvg to a True FVG.
How it works
-Identifies valid FVGs based on price displacement, not arbitrary candle size
-Plots FVG zones only after they are fully formed and confirmed
-Zones remain on the chart until price interacts with them
-No repainting once an FVG is printed
How to use it
-Use FVGs as areas of interest, not entry signals
-Best applied when price is returning after expansion
-Combine with: Higher-timeframe bias and Midpoint equilibrium levels
-Market structure shifts
-Liquidity sweeps or session timing
Entries should be taken only after confirmation (reaction, rejection, or shift)
This can be a good entry tool.
Power Candle Morphology Power Score Only- By DaliliPower Candle Morphology Indicator
By Dalili
Overview
This indicator is a price-action–only candle morphology engine designed to identify moments of genuine directional intent rather than noise. It operates strictly on single-bar geometry and immediate context, without moving averages, oscillators, volatility smoothing, or historical aggregation. Each qualifying candle is scored in real time and labeled only when structural dominance is present.
Core Philosophy
Markets move when one side overwhelms the other. This tool quantifies that imbalance directly from the candle itself. It ignores indicators derived from price and instead evaluates how price behaved inside the bar: body dominance, wick asymmetry, closing authority, and classic institutional candle patterns. No hindsight. No averaging. One bar, one judgment.
Morphology Detection
The indicator classifies only high-conviction candle structures:
1. Marubozu variants, where the body controls the full range and the close asserts dominance at the extreme.
2. Engulfing structures, where a current candle decisively absorbs prior opposing intent.
3. Directional pin bars, where rejection is violent and asymmetric, signaling forced participation failure on one side.
If none of these conditions are met, the candle is ignored entirely.
Power Scoring System
Each qualifying candle receives a Power Score from 1 to 10, derived from four independent components:
1. Body dominance as a percentage of total range.
2. Wick asymmetry relative to the body, measuring rejection or control.
3. Close location within the range, measuring who won the bar.
4. Pattern boost for structurally dominant formations.
The score is intentionally capped and discrete. There is no smoothing, rolling average, or cumulative bias.
Signal Output
Only candles that meet both structural qualification and a minimum power threshold are labeled. Labels are minimal by design:
“P#” only, plotted above or below the candle in the direction of dominance. Green denotes bullish control. Red denotes bearish control. No additional text, shapes, or overlays are introduced.
What This Indicator Is Not
It is not predictive.
It is not trend-following.
It is not confirmation-stacking.
It does not care about indicators agreeing with it.
What It Is Used For
This indicator is best used as a decision-quality filter. It answers a single question with precision: Was this candle structurally strong enough to matter? When combined with context such as support and resistance, volume expansion, or volatility contraction, it highlights the exact bars where professional participation is most likely present.
In short, this is a candle truth detector. It strips price action down to dominance, grades it objectively, and stays silent unless something real just happened.
PSP (Precision Swing Point - CIC SMT)PSP SMT – Correlation Stages Indicator
The PSP SMT – Correlation Stages indicator is designed to identify Smart Money divergences (SMT) between correlated markets through a progressive, stage-based model.
It visually classifies price behavior into correlation stages, helping traders detect early imbalance, confirmation, and distribution phases used by institutional participants.
By comparing a primary asset with a correlated symbol, the indicator highlights loss of correlation, displacement, and confirmation signals, offering a structured framework to anticipate potential reversals or continuations within ICT-based market models.
Ideal for traders who apply ICT concepts, intermarket analysis, and liquidity-based strategies, the PSP SMT enhances timing, context, and confidence in decision-making.
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV)
Institutional Volume Flow Analysis with VWMA Matrix
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📌 OVERVIEW
SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals.
Key Features:
• Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data)
• 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97)
• 5-Layer Scoring System: 100-point institutional-grade signal quality assessment
• State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation
• Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation
• High Volume Node Detection: Automatic identification of significant volume zones
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📊 DASHBOARD REFERENCE
1) NOW VECTOR (Current Market State)
This section captures the immediate market conditions:
• FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish.
• LTP: Last Traded Price - current close price.
• NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-.
• LIQUIDITY: Total volume on the current bar (K/M format).
• BUY VOL: Estimated buying volume based on selected model.
• SELL VOL: Estimated selling volume.
• BID PRES.: Buying volume as percentage of total volume.
• ASK PRES.: Selling volume as percentage of total volume.
• DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪).
2) DATA QUALITY / CONFIG
Configuration status and data integrity monitoring:
• VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure).
• IB LTF: Intrabar Lower Timeframe for precise volume decomposition.
• MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97).
• IB OK: Intrabar data validity - OK or NO.
• IB STREAK: Consecutive bars with valid intrabar data.
• LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference.
3) STRUCTURE RADAR
Market structure analysis showing price position relative to VWMA matrix:
• WIRES ▲/▼: Count of VWMAs above (resistance) and below (support).
• RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY".
• SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL".
4) ACTIVE INTERACTION
Real-time analysis of price interaction with key levels:
• Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---"
• TARGET: Active level being tested (MA period or zone type).
• TEST LEVEL: Exact price level being tested.
• SCORE: Total score (0-100%) with letter grade .
• VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x").
• BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise.
• DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing.
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🎯 5-LAYER SCORING SYSTEM (100 Points Total)
Layer 1: Volume Quality (Max 25 pts)
• Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10
• Spike (0-8): Volume Z-Score intensity
• Trend (0-7): Volume trend alignment with price direction
Layer 2: Battle Structure (Max 25 pts)
• Break (0-10): Breakout intensity ratio (attacker vs defender)
• Dom (0-8): Internal dominance ratio
• Pres (0-7): Pressure imbalance percentage
Layer 3: Flow & Energy (Max 20 pts)
• Delta (0-8): Delta alignment with accumulation trend
• Accel (0-6): Delta acceleration
• Mom (0-6): Flow momentum
Layer 4: Geometry (Max 15 pts)
• Impact (0-7): Impact angle directness
• Vec (0-5): Vector alignment
• PriceZ (0-3): Price Z-Score position
Layer 5: Army Structure (Max 15 pts)
• Stack (0-5): MA stack depth
• Conf (0-5): Confluence percentage
• Trend (0-5): Trend alignment count (7>13, 13>23, 23>97)
Grade Scale:
• A+ = 90-100 pts (Exceptional)
• A = 80-89 pts (Strong)
• B+ = 70-79 pts (Good)
• B = 60-69 pts (Moderate)
• C+ = 50-59 pts (Below average)
• C/D/F = Below 50 pts (Weak)
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5) SIGNAL STATUS PANEL
Real-time signal state machine status:
• Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT"
• LOCK PRICE: Price at which signal was locked/confirmed.
• RANGE ±: Validation range percentage.
• POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK"
• DISTANCE: Percentage distance from lock price.
• vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW"
• VAL TICKS: Validation progress (current/required ticks).
6) REALTIME PREDICTION PANEL
Candle prediction engine:
• WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL"
• CONFIDENCE: Prediction confidence percentage.
• ACCURACY: Historical prediction accuracy (session-specific).
• BUY/SELL PROB: Individual probabilities for each side.
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🏷️ SIGNAL LABELS REFERENCE
• 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete.
• 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete.
• 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position.
• 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position.
• ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state.
• ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state.
• ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state.
Display Modes:
• Minimal: Icon only (hover for tooltip details)
• Normal: Icon + Price level
• Detailed: Full information (price, score, grade)
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📈 CHART ELEMENTS
VWMA Spectrum Lines
Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume.
High Volume Node Lines
• Blue Lines: High Buy Volume zones - potential demand areas
• Red Lines: High Sell Volume zones - potential supply areas
• Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas
Lock Price Line & Range Band
• Dashed Line: Locked price level (green for buyers, red for sellers)
• Dotted Lines: Upper/lower bounds of validation range
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⚙️ INPUT SETTINGS GUIDE
Volume Model
• Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation.
• Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute).
Direction Filter
• Direction Trigger Angle: Threshold for directional state change (default: 1.5°)
• Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°)
Testing Filter
• Level Proximity (%): How close price must be to "test" a level (default: 0.25%)
• Require Wick Touch: If enabled, requires high/low to touch proximity band.
Signal Validation
• Lock Range (%): Price range for validation (default: 0.5%)
• Validation Ticks: Consecutive bars required (default: 3)
• Validation Time: Minimum seconds for real-time confirmation (default: 5)
• Minimum Hold Bars: Stay in position for at least this many bars (default: 5)
• Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop"
• Stop Loss (%): Exit threshold (default: 1.0%)
Signal Score Filter
• Score Range Minimum: Minimum score for signal generation (default: 10%)
• Score Range Maximum: Maximum score threshold (default: 100%)
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💡 USAGE RECOMMENDATIONS
1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts.
2. Use Intrabar mode when your broker provides lower timeframe data.
3. Focus on high-grade signals (B+ or better) for higher probability setups.
4. Wait for validation to complete before acting on signals.
5. Use the Lock Price line as your reference for position management.
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⚠️ IMPORTANT NOTES
• This indicator is designed for educational and analytical purposes.
• Always combine with proper risk management and additional confirmation.
• Past performance and signal quality do not guarantee future results.
• The prediction accuracy is session-specific and resets on chart reload.
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Volume-Based Indicator — Data Granularity & Table Guide
1) Critical warning about data granularity (read first)
Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it.
The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S).
If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features.
Plan-related notes (TradingView)
TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are:
• Basic: 5,000 bars
• Essential: 10,000 bars
• Plus: 10,000 bars
• Premium: 20,000 bars
• Expert: 25,000 bars
• Ultimate: 40,000 bars
Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.






















