Buyside & Sellside Liquidity [LuxAlgo]The Buyside & Sellside Liquidity indicator aims to detect & highlight the first and arguably most important concept within the ICT trading methodology, Liquidity levels.
🔶 SETTINGS
🔹 Liquidity Levels
Detection Length: Lookback period
Margin: Sets margin/sensitivity for a liquidity level detection
🔹 Liquidity Zones
Buyside Liquidity Zones: Enables display of the buyside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for buyside liquidity levels & zones.
Sellside Liquidity Zones: Enables display of the sellside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for sellside liquidity levels & zones.
🔹 Liquidity Voids
Liquidity Voids: Enables display of both bullish and bearish liquidity voids.
Label: Enables display of a label indicating liquidity voids.
🔹 Display Options
Mode: Controls the lookback length of detection and visualization, where Present assumes last 500 bars and Historical assumes all data available to the user
# Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
🔶 USAGE
Definitions of Liquidity refer to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
In the context of Inner Circle Trader's teachings, liquidity mainly relates to stop losses or pending orders and liquidity level/pool, highlighting a concentration of buy or sell orders at specific price levels. Smart money traders, such as banks and other large institutions, often target these liquidity levels/pools to accumulate or distribute their positions.
There are two types of liquidity; Buyside liquidity and Sellside liquidity .
Buyside liquidity represents a level on the chart where short sellers will have their stops positioned, and Sellside liquidity represents a level on the chart where long-biased traders will place their stops.
These areas often act as support or resistance levels and can provide trading opportunities.
When the liquidity levels are breached at which many stop/limit orders are placed have been traded through, the script will create a zone aiming to provide additional insight to figure out the odds of the next price action.
Reversal: It’s common that the price may reverse course and head in the opposite direction, seeking liquidity at the opposite extreme.
Continuation: When the zone is also broken it is a sign for continuation price action.
It's worth noting that ICT concepts are specific to the methodology developed by Michael J. Huddleston and may not align with other trading approaches or strategies.
🔶 DETAILS
Liquidity voids are sudden changes in price when the price jumps from one level to another. Liquidity voids will appear as a single or a group of candles that are all positioned in the same direction. These candles typically have large real bodies and very short wicks, suggesting very little disagreement between buyers and sellers. The peculiar thing about liquidity voids is that they almost always fill up.
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case;
Liquidity level is detected/updated.
Liquidity level is breached.
🔶 RELATED SCRIPTS
ICT-Concepts
ICT-Macros
Imbalance-Detector
Recherche dans les scripts pour "imbalance"
Market Structure & Liquidity: CHoCHs+Nested Pivots+FVGs+Sweeps//Purpose:
This indicator combines several tools to help traders track and interpret price action/market structure; It can be divided into 4 parts;
1. CHoCHs, 2. Nested Pivot highs & lows, 3. Grade sweeps, 4. FVGs.
This gives the trader a toolkit for determining market structure and shifts in market structure to help determine a bull or bear bias, whether it be short-term, med-term or long-term.
This indicator also helps traders in determining liquidity targets: wether they be voids/gaps (FVGS) or old highs/lows+ typical sweep distances.
Finally, the incorporation of HTF CHoCH levels printing on your LTF chart helps keep the bigger picture in mind and tells traders at a glance if they're above of below Custom HTF CHoCH up or CHoCH down (these HTF CHoCHs can be anything from Hourly up to Monthly).
//Nomenclature:
CHoCH = Change of Character
STH/STL = short-term high or low
MTH/MTL = medium-term high or low
LTH/LTL = long-term high or low
FVG = Fair value gap
CE = consequent encroachement (the midline of a FVG)
~~~ The Four components of this indicator ~~~
1. CHoCHs:
•Best demonstrated in the below charts. This was a method taught to me by @Icecold_crypto. Once a 3 bar fractal pivot gets broken, we count backwards the consecutive higher lows or lower highs, then identify the CHoCH as the opposite end of the candle which ended the consecutive backwards count. This CHoCH (UP or DOWN) then becomes a level to watch, if price passes through it in earnest a trader would consider shifting their bias as market structure is deemed to have shifted.
•HTF CHoCHs: Option to print Higher time frame chochs (default on) of user input HTF. This prints only the last UP choch and only the last DOWN choch from the input HTF. Solid line by default so as to distinguish from local/chart-time CHoCHs. Can be any Higher timeframe you like.
•Show on table: toggle on show table(above/below) option to show in table cells (top right): is price above the latest HTF UP choch, or is price below HTF DOWN choch (or is it sat between the two, in a state of 'uncertainty').
•Most recent CHoCHs which have not been met by price will extend 10 bars into the future.
• USER INPUTS: overall setting: SHOW CHOCHS | Set bars lookback number to limit historical Chochs. Set Live CHoCHs number to control the number of active recent chochs unmet by price. Toggle shrink chochs once hit to declutter chart and minimize old chochs to their origin bars. Set Multi-timeframe color override : to make Color choices auto-set to your preference color for each of 1m, 5m, 15m, H, 4H, D, W, M (where up and down are same color, but 'up' icon for up chochs and down icon for down chochs remain printing as normal)
2. Nested Pivot Highs & Lows; aka 'Pivot Highs & Lows (ST/MT/LT)'
•Based on a seperate, longer lookback/lookforward pivot calculation. Identifies Pivot highs and lows with a 'spikeyness' filter (filtering out weak/rounded/unimpressive Pivot highs/lows)
•by 'nested' I mean that the pivot highs are graded based on whether a pivot high sits between two lower pivot highs or vice versa.
--for example: STH = normal pivot. MTH is pivot high with a lower STH on either side. LTH is a pivot high with a lower MTH on either side. Same applies to pivot lows (STL/MTL/LTL)
•This is a useful way to measure the significance of a high or low. Both in terms of how much it might be typically swept by (see later) and what it would imply for HTF bias were we to break through it in earnest (more than just a sweep).
• USER INPUTS: overall setting: show pivot highs & lows | Bars lookback (historical pivots to show) | Pivots: lookback/lookforward length (determines the scale of your pivot highs/lows) | toggle on/off Apply 'Spikeyness' filter (filters out smooth/unimpressive pivot highs/lows). Set Spikeyness index (determines the strength of this filter if turned on) | Individually toggle on each of STH, MTH, LTH, STL, MTL, LTL along with their label text type , and size . Toggle on/off line for each of these Pivot highs/lows. | Set label spacer (atr multiples above / below) | set line style and line width
3. Grade Sweeps:
•These are directly related to the nested pivots described above. Most assets will have a typical sweep distance. I've added some of my expected sweeps for various assets in the indicator tooltips.
--i.e. Eur/Usd 10-20-30 pips is a typical 'grade' sweep. S&P HKEX:5 - HKEX:10 is a typical grade sweep.
•Each of the ST/MT/LT pivot highs and lows have optional user defined grade sweep boxes which paint above until filled (or user option for historical filled boxes to remain).
•Numbers entered into sweep input boxes are auto converted into appropriate units (i.e. pips for FX, $ or 'handles' for indices, $ for Crypto. Very low $ units can be input for low unit value crypto altcoins.
• USER INPUTS: overall setting: Show sweep boxes | individually select colors of each of STH, MTH, LTH, STL, MTL, LTL sweep boxes. | Set Grade sweep ($/pips) number for each of ST, MT, LT. This auto converts between pips and $ (i.e. FX vs Indices/Crypto). Can be a float as small or large as you like ($0.000001 to HKEX:1000 ). | Set box text position (horizontal & vertical) and size , and color . | Set Box width (bars) (for non extended/ non-auto-terminating at price boxes). | toggle on/off Extend boxes/lines right . | Toggle on/off Shrink Grade sweeps on fill (they will disappear in realtime when filled/passed through)
4. FVGs:
•Fair Value gaps. Represent 'naked' candle bodies where the wicks to either side do not meet, forming a 'gap' of sorts which has a tendency to fill, or at least to fill to midline (CE).
•These are ICT concepts. 'UP' FVGS are known as BISIs (Buyside imbalance, sellside inefficiency); 'DOWN' FVGs are known as SIBIs (Sellside imbalance, buyside inefficiency).
• USER INPUTS: overall setting: show FVGs | Bars lookback (history). | Choose to display: 'UP' FVGs (BISI) and/or 'DOWN FVGs (SIBI) . Choose to display the midline: CE , the color and the line style . Choose threshold: use CE (as opposed to Full Fill) |toggle on/off Shrink FVG on fill (CE hit or Full fill) (declutter chart/see backtesting history)
////••Alerts (general notes & cautionary notes)::
•Alerts are optional for most of the levels printed by this indicator. Set them via the three dots on indicator status line.
•Due to dynamic repainting of levels, alerts should be used with caution. Best use these alerts either for Higher time frame levels, or when closely monitoring price.
--E.g. You may set an alert for down-fill of the latest FVG below; but price will keep marching up; form a newer/higher FVG, and the alert will trigger on THAT FVG being down-filled (not the original)
•Available Alerts:
-FVG(BISI) cross above threshold(CE or full-fill; user choice). Same with FVG(SIBI).
-HTF last CHoCH down, cross below | HTF last CHoCH up, cross above.
-last CHoCH down, cross below | last CHoCH up, cross above.
-LTH cross above, MTH cross above, STH cross above | LTL cross below, MTL cross below, STL cross below.
////••Formatting (general)::
•all table text color is set from the 'Pivot highs & Lows (ST, MT, LT)' section (for those of you who prefer black backgrounds).
•User choice of Line-style, line color, line width. Same with Boxes. Icon choice for chochs. Char or label text choices for ST/MT/LT pivot highs & lows.
////••User Inputs (general):
•Each of the 4 components of this indicator can be easily toggled on/off independently.
•Quite a lot of options and toggle boxes, as described in full above. Please take your time and read through all the tooltips (hover over '!' icon) to get an idea of formatting options.
•Several Lookback periods defined in bars to control how much history is shown for each of the 4 components of this indicator.
•'Shrink on fill' settings on FVGs and CHoCHs: Basically a way to declutter chart; toggle on/off depending on if you're backtesting or reading live price action.
•Table Display: applies to ST/MT/LT pivot highs and to HTF CHoCHs; Toggle table on or off (in part or in full)
////••Credits:
•Credit to ICT (Inner Circle Trader) for some of the concepts used in this indicator (FVGS & CEs; Grade sweeps).
•Credit to @Icecold_crypto for the specific and novel concept of identifying CHoCHs in a simple, objective and effective manner (as demonstrated in the 1st chart below).
CHoCH demo page 1: shifting tweak; arrow diagrams to demonstrate how CHoCHs are defined:
CHoCH demo page 2: Simplified view; short lookback history; few CHoCHs, demo of 'latest' choch being extended into the future by 10 bars:
USAGE: Bitcoin Hourly using HTF daily CHoCHs:
USAGE-2: Cotton Futures (CT1!) 2hr. Painting a rather bullish picture. Above HTF UP CHoCH, Local CHoCHs show bullish order flow, Nice targets above (MTH/LTH + grade sweeps):
Full Demo; 5min chart; CHoCHs, Short term pivot highs/lows, grade sweeps, FVGs:
Full Demo, Eur/Usd 15m: STH, MTH, LTH grade sweeps, CHoCHs, Usage for finding bias (part A):
Full Demo, Eur/Usd 15m: STH, MTH, LTH grade sweeps, CHoCHs, Usage for finding bias, 3hrs later (part B):
Realtime Vs Backtesting(A): btc/usd 15m; FVGs and CHoCHs: shrink on fill, once filled they repaint discreetly on their origin bar only. Realtime (Shrink on fill, declutter chart):
Realtime Vs Backtesting(B): btc/usd 15m; FVGs and CHoCHs: DON'T shrink on fill; they extend to the point where price crosses them, and fix/paint there. Backtesting (seeing historical behaviour):
Equilibrium╭━━━╮╱╱╱╱╱╱╭╮╱╭╮
┃╭━━╯╱╱╱╱╱╱┃┃╱┃┃
┃╰━━┳━━┳╮╭┳┫┃╭┫╰━┳━┳┳╮╭┳╮╭╮
┃╭━━┫╭╮┃┃┃┣┫┃┣┫╭╮┃╭╋┫┃┃┃╰╯┃
┃╰━━┫╰╯┃╰╯┃┃╰┫┃╰╯┃┃┃┃╰╯┃┃┃┃
╰━━━┻━╮┣━━┻┻━┻┻━━┻╯╰┻━━┻┻┻╯
╱╱╱╱╱╱┃┃
╱╱╱╱╱╱╰╯
Overview
Equilibrium is a tool designed to measure the buying & selling pressure in the market. It is depicted as a “pressure gauge” that automatically adjusts as new candles are formed, providing a real-time indication of who's on top right now, buyers or sellers?
Background
Supply & demand is considered to be the main driving force of our modern economies, where the interaction between the two parties(sellers & buyers) leads to the determination of the fair price for a given product. Stock markets are no exception, they operate very much based around the idea of supply & demand.
In simple terms, supply refers to the availability of a product, and demand is the willingness of consumers to buy that product at a given price. It is obvious that different vendors may sell the same product at slightly different prices, and similarly, different customers may choose to buy the same product from different vendors at varying prices. The idea is that the price is allowed to fluctuate from time to time, but in a free & fair market, the price will eventually settle down to a value that makes both the parties happy. Such a state is known as the “Price-Equilibrium”, and this process is also referred to as the market mechanism.
This is the basic assumption around which this tool is based, the market is always trying to move towards a state of equilibrium.
Calculations
This tool takes a simplistic approach to estimate the degree of imbalance between buyers & sellers, here’s a brief summary of how the pressure is calculated:
- We compute the total lengths of red & green candles for a given period, i.e. price range multiplied by the volume for that candle.
- Then the distribution of each type of candle is calculated.
- Assuming more red candles denote more selling pressure, and green candles denote buying pressure, the gauge is populated cell by cell.
- As the pressure on one side increases, the intensity of the cell color also increases, signifying the extent to which one side is dominating.
How to use it
- The indicator is designed as a pressure gauge that moves up(vertical alignment) or to the right(horizontal alignment) as the buying pressure increases, and moves down or to the left as the selling pressure increases. How it is to be used & applied, that completely depends on your trading methodology. But, the general idea is that we expect the market to be in a state of equilibrium, and if that is not the case the tool will highlight that, and this is also where the opportunity lies to find suitable trades.
- Just by having an idea about who’s dominating the market currently, a trader can also pick sides wisely. Remember, the market is always striving to come back a state of equilibrium, and a slight imbalance can indicate the current trend, and more importantly, who’s more likely to make the next move.
User Settings
The tool offers some minimal configurations for the end user:
- You can choose to display the actual percentage value in the gauge(Show Text).
- You can adjust colors that denote buyers & sellers.
- You can change the layout of gauge, default is vertical(right side of the screen).
- Last, and most important, you can adjust the number of candles to traverse for calculating the pressure. Default is 50, can go upto 1000.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
------------------------
Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
coates moving averages (cma)This indicator uses three moving averages:
2 period low simple ma
2 period high simple ma
9 period least squares ma
The trend is determined by the angle of the moving averages, current close relative the the 9 least squares ma (lsm) and the current close relative to the prior two periods high and low.
When there are consecutive closes inside the prior two candles high and low then a range is signaled:
In ranges the buy zone is between the lowest low and the lowest close of the current range. The sell zone is between the highest high and the highest close. The zones are adjusted as long as the new close is within the prior two candles range:
When price closes above the 2 high ma and the 9 lsm then a bull trend is signaled if all moving averages are angled upward (as seen at #4 in the chart above and #1 the chart below ). If the 9 lsm and / or the 2 low ma continue to angle downward, following a close above the 2 high ma and 9 lsm, then a prolonged range or reversal is expected (#2 in the chart below):
During a bull trend the buy zone is between the 2 low ma and the 9 lsm. The profit target is the 2 high ma:
During dip buying opportunities price should resist closing below the 9 lsm. If there is one close below the 9 lsm then it is a canary in the coalmine that tells us to proceed with caution. This will often signal a range, based on the conditions outlined above. To avoid a prolonged range, or reversal, price needs to immediately react in the direction of the prevailing trend:
If the moving averages are angled down and the most recent close is below the 2 low ma and 9 lsm then trend is fully bearish:
During a bear trend the short zone is between the 2 high ma and 9 lsm. The profit target is the 2 low ma:
When the 2 high ma angles down and the 2 low ma angles up while price closes inside both mas then it indicates a cma squeeze:
Volatility is expected in the direction of the breakout following the squeeze. In this situation traps / shakeouts are common. If there is a wick outside the cma, with a close inside, then it indicates a trap / shakeout. If there is a close outside the 2 high / low ma then it signals a breakout.
A trend is considered balanced when the 9 lsm is roughly equidistant from the 2 low and 2 high mas. If the 9 lsm crosses the 2 high or 2 low ma then it signals exhaustion / imbalance.
For a stop loss I use the prior three periods low, for bull trends, and the prior three periods high for bear trends. I would expect other reliable stops, such as the parabolic sar or bill williams fractal, to be effective as well. The default moving averages should be very effective on all timeframes and assets classes, however this indicator was developed for bitcoin with a focus on higher timeframes such as the 4h, daily and weekly.
As with any other technical indicator there will be bad signals. Proceed with caution and never risk more than you are willing to lose.
Tick-Based Delta Volume BubblesTICK-BASED DELTA VOLUME BUBBLES
OVERVIEW
A real-time order flow indicator that displays volume delta at the tick level, helping traders identify buying and selling pressure as it develops during live market hours. Unlike traditional volume delta indicators that rely on bar close data, this indicator captures actual tick-by-tick volume changes and directional bias, providing granular insight into market dynamics.
HOW IT WORKS
The indicator monitors live tick data during real-time trading by tracking volume increases between consecutive price updates. Each time volume increments, the script calculates the volume delta, determines price direction, assigns directional bias to the volume, and accumulates net delta for each bar.
This methodology is identical to the tick detection mechanism used in professional cumulative volume delta tools, ensuring accuracy and reliability.
FEATURES
Real-Time Tick Detection
- Captures genuine tick-by-tick volume flow using varip persistence
- Not estimated from OHLC data
- Processes actual market ticks as they occur
Adaptive Bubble Sizing
- Bubbles scale based on delta strength relative to a customizable moving average (default 20 bars)
- Highlights significant order flow imbalances
- Five size levels from tiny to huge
Dual Display Modes
- Normal Mode: Sized bubbles with optional volume labels positioned at bar midpoint
- Minimal Mode: Clean dots above/below bars for unobtrusive delta visualization
Flow Classification
- Aggressive Buy (bright green): Strong positive delta with greater than 1.2x strength
- Aggressive Sell (bright red): Strong negative delta with greater than 1.2x strength
- Passive Buy (light green): Moderate positive delta
- Passive Sell (light red): Moderate negative delta
Intensity Mode (Optional)
- Gray: Low intensity (less than 0.5x average)
- Blue: Medium intensity (0.5-1.0x average)
- Orange: High intensity (1.0-2.0x average)
- Red: Extreme intensity (greater than 2.0x average)
Smart Filtering
- Percentile-based filters (customizable) ensure only significant delta events are displayed
- Reduces chart clutter while highlighting important order flow
- Separate thresholds for bubble display and numeric labels
Data Collection Status
- Optional progress box in top-right corner
- Shows real-time bar collection progress
- Displays percentage completion and bars remaining
- Automatically hides when sufficient data is collected
Hide Until Ready Option
- Suppresses bubble display until the averaging period is complete
- Prevents misleading signals from incomplete data
- Default requires 20 bars before displaying bubbles
SETTINGS
Delta Average Length (1-200, default 20)
- Lookback period for calculating delta strength baseline
- Higher values = longer-term delta comparison
- Lower values = more sensitive to recent changes
Hide Bubbles Until Enough Data
- Prevents display until averaging period completes
- Ensures reliable delta strength calculations
Show Data Collection Status Box
- Displays progress indicator during initialization
- Can be disabled if you understand the warmup period
Minimal Mode
- Switches to simple dot display above/below bars
- Green dots above bars = positive delta
- Red dots below bars = negative delta
- Maintains color intensity or flow type classification
Show Bubbles
- Master toggle for bubble display
Bubble Volume Percentile (0-100, default 60)
- Minimum percentile rank required to display bubble
- Higher values = fewer, more significant bubbles
- Lower values = more bubbles displayed
Show Numbers in Bubbles
- Toggle delta value labels
- Only appears in normal mode
- Disabled automatically in minimal mode
Label Volume Percentile (0-100, default 90)
- Higher threshold for displaying numeric labels
- Typically set higher than bubble percentile
- Reduces label clutter on chart
Intensity Mode
- Switch from flow-type coloring to magnitude-based coloring
- Useful for identifying volume spikes regardless of direction
IMPORTANT NOTES
Real-Time Only: This indicator processes live tick data and does not provide historical analysis. It begins collecting data when added to a live chart.
Volume Required: Symbol must have volume data available. Will not function on symbols without volume (most forex pairs from retail brokers).
Initialization Period: Requires the specified number of bars (default 20) to calculate accurate delta strength. Use the "Hide Until Ready" option to prevent premature signals.
Market Hours: Only collects data during live market hours. Does not backfill historical data.
CREDITS
Tick detection methodology inspired by the Kioseff Trading Tick CVD indicator. This implementation adapts the same core tick-level volume delta calculation for bubble-style visualization and per-bar delta analysis.
ICT Levels Breach Scanner (12M Timeframe)Detects and scans for breaches of key Inner Circle Trader (ICT) concepts on the yearly (12M) chart: Swing Lows (3-bar wick pivots), Rejection Blocks (3-bar body pivots), Fair Value Gaps (3-bar inefficiencies), and Volume Imbalances (bullish body gaps ≥0.15%, unmitigated).
Features:
Tracks active levels with arrays for real-time breach detection (price low below any level triggers alert).
Visuals: Blue solid lines (Swing Lows), orange dashed (Rejection Blocks), purple dotted (FVGs), green boxes (VIs)—all extending right.
Red triangle + bgcolor alert on breach bar; built-in alertcondition for notifications.
Optimized for Pine Screener: Filter stocks (e.g., US exchanges) showing symbols where price has traded below these levels on the latest 12M bar.
Usage: Apply to a 12M chart for viz, or add to Screener > Pine tab for multi-symbol scans. Customize gap % or add bearish variants via inputs. Ideal for spotting potential support in long-term trends.
ICT-inspired; test on liquid stocks like AAPL/TSLA. Not financial advice.
MK_OSFT-Momentum Confluence DetectorMOMENTUM CONFLUENCE DETECTOR - Trading Indicator Overview
What This Indicator Does
The Momentum Confluence Detector is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities by detecting momentum bars that align with multiple confluence factors. It combines traditional technical analysis with advanced Smart Money Concepts to filter out noise and highlight the most significant price movements.
CORE FUNCTIONALITY
📊 Momentum Bar Detection Identifies unusual volume and bar size expansion using customizable multipliers
Detects bullish, bearish, and neutral momentum bars based on OHLC relationships
Uses moving averages to establish baseline volume and bar size thresholds
🔄 Multi-Filter Confluence System
The indicator employs up to 5 different filter types to validate momentum signals:
Level Concept Filter - Choose between:
- Support/Resistance Levels : Traditional pivot-based S/R zones with touch counting and break tracking
- Smart Money Concepts : Institutional order flow analysis including Order Blocks, Fair Value Gaps (FVGs), and market structure breaks
Trend Filter : EMA/SMA-based trend direction confirmation with alignment requirements
Breakout Filter : Detects price breakouts beyond recent highs/lows with percentage thresholds
Volatility Filter : ATR expansion confirmation to ensure signals occur during active market conditions
Market Session Filter : Filters signals to specific trading sessions (Tokyo, London, New York)
ADVANCED FEATURES
🎯 Smart Money Concepts Integration
Order Blocks : Identifies institutional supply/demand zones from major and minor structure breaks
Fair Value Gaps (FVGs) : Detects price imbalances and tracks their evolution through partial fills and inversions
Market Structure : Recognizes Break of Structure (BOS) and Change of Character (CHoCH) patterns
Retracement Patterns : Tracks HLH (Higher-Low-Higher) and LHL (Lower-High-Lower) institutional patterns
📈 Support/Resistance System
Multi-timeframe pivot detection (3, 5, 7-bar spans)
Volume-weighted strength calculation for level importance
Dynamic level merging and break tracking
Automatic level type classification (Support/Resistance/Flip zones)
⚙️ Intelligent Filtering Logic
ALL Mode : Requires all enabled filters to pass (high precision)
ANY Mode : Requires at least one filter to pass (higher frequency)
Real-time filter status tracking and visualization
Visual Features
Signal Markers : Clear triangular markers for qualified momentum bars
Unfiltered Signals : Optional display of raw momentum bars for comparison
Level Visualization : Dynamic S/R level boxes and lines with strength indicators
Structure Lines : BOS/CHoCH break visualization with major/minor classification
Fair Value Gaps : Color-coded boxes showing bullish/bearish FVGs with partial fill tracking and IFVG conversion
Order Blocks : Institutional supply/demand zones displayed as colored boxes with major/minor classification
Information Table : Real-time display of signal details and filter status
Session Boxes : Visual representation of active trading sessions
Practical Applications
✅ Swing Trading : Identify high-probability reversal and continuation setups
✅ Day Trading : Spot intraday momentum shifts with institutional backing
✅ Multi-Timeframe Analysis : Combine major and minor structure analysis
✅ Risk Management : Filter out low-quality setups using confluence requirements
✅ Educational : Understand market structure and institutional order flow
Customization Options
Adjustable momentum thresholds for different market conditions
Comprehensive filter settings with individual enable/disable controls
Visual customization for colors, sizes, and display preferences
Alert system with detailed signal information
Performance optimization settings for different chart timeframes
Who Should Use This Indicator
This indicator is suitable for traders who:
Want to combine multiple technical analysis approaches
Seek to understand institutional market behavior
Prefer confluence-based trading setups
Need customizable filtering for different market conditions
Value comprehensive signal validation over high-frequency alerts
The Momentum Confluence Detector transforms complex market analysis into clear, actionable signals by requiring multiple forms of confirmation before highlighting trading opportunities.
EQ + Bandas Pro 📊 EQ + Bands Pro is an advanced indicator built on OHLC analysis. It calculates a synthetic equilibrium price and plots dynamic, robust bands that adapt to volatility while filtering outliers. The tool highlights zones of overvaluation and undervaluation, helping traders identify key imbalances, potential reversals, and trend confirmations.
ICT 369 Sniper MSS Indicator (HTF Bias) - H2LThis script is an ICT (Inner Circle Trader) concept-based trading indicator designed to identify high-probability reversal or continuation setups, primarily focusing on intraday trading using a Higher Timeframe (HTF) directional bias.
Here are the four core components of the indicator:
Higher Timeframe (HTF) Bias Filter (Market Structure Shift - MSS): It determines the overall trend by checking if the current price has broken the most recent high or low swing point of a larger timeframe (e.g., 4H). This establishes a Bullish or Bearish bias, ensuring trades align with the dominant trend.
Fair Value Gap (FVG) and OTE: It identifies price imbalances (FVGs) and calculates the Optimal Trade Entry (OTE) levels (50%, 62%, 70.5%, etc.) within those gaps, looking for price to retrace into these specific areas.
Kill Zones (Timing): It incorporates specific time windows (London and New York Kill Zones, based on NY Time) where institutional trading activity is high, only allowing entry signals during these defined periods.
Signal and Targets: It triggers a Long or Short signal when all criteria are met (HTF Bias, FVG, OTE retracement, and Kill Zone timing). It then calculates and plots suggested trade levels, including a Stop Loss (SL) and three Take Profit targets (TP1, TP2, and a dynamic Runner Target based on the weekly Average True Range or ATR).
In summary, it's a comprehensive tool for traders following ICT principles, automating the confluence check across trend, structure, liquidity, and timing.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
Quadro Volume Profile [BigBeluga]🔵 OVERVIEW
The Quadro Volume Profile is a precision-engineered volume profiling tool that segments market activity into four distinct quadrants surrounding the current price. By separating bullish and bearish volume above and below the current price, it helps traders identify dominant forces and high-interest price zones with ease. Each quadrant includes label annotations showing total volume and its share of overall activity — delivering powerful insights into the market’s internal structure.
🔵 CONCEPTS
Four-Quadrant Volume Distribution : Volume is separated into Buy and Sell profiles both above and below the current price.
Directional Volume Logic : Bullish and bearish candle volume is allocated to specific bins, creating color-coded volume stacks.
Dynamic PoC Detection : Point of Control (PoC) levels are calculated per quadrant and optionally displayed.
Lookback-Based Anchoring : The volume histogram is anchored to a fixed lookback window, ensuring consistency and historical context.
Label-Based Analytics : Each quadrant displays a labeled breakdown of direction, total volume, and percentage weight of total activity.
🔵 FEATURES
Four separate volume profiles:
Upper Left: Bearish volume (Sell Quad above price)
Upper Right: Bullish volume (Buy Quad above price)
Lower Left: Bullish volume (Buy Quad below price)
Lower Right: Bearish volume (Sell Quad below price)
Live Labels for Each Quad:
Displays BUY or SELL direction
Shows total volume per quadrant (e.g. 607.49K)
Displays percent share of total quad volume (e.g. 18.87%)
Toggle visibility for each profile and each Point of Control (PoC) dashed PoC lines with volume annotations
Adjustable calculation period (lookBack), number of bins, and horizontal offset
Color gradient intensity represents volume strength per bin
Auto-cleaning visuals to keep the chart uncluttered
Gradient color control for Buy and Sell volumes
Clean midline split between upper and lower quadrants
🔵 HOW TO USE
Select your desired calculation period (default: 200 bars) to define the range for volume analysis.
Adjust the bins parameter for more or less resolution in volume distribution.
Toggle each quadrant on/off depending on your preference using the settings panel:
“Upper Sell Quad” – shows bearish volume above current price (left)
“Upper Buy Quad” – shows bullish volume above current price (right)
“Lower Buy Quad” – shows bullish volume below current price (left)
“Lower Sell Quad” – shows bearish volume below current price (right)
Enable or disable PoC lines for each quad to highlight where volume peaked.
Use the gradient coloring to identify volume imbalances — sharp differences between opposing quads often indicate key zones of rejection or breakout.
Monitor the midline level which splits the four quadrants — it serves as a psychological pivot zone.
🔵 CONCLUSION
The Quadro Volume Profile offers a powerful and visually intuitive way to dissect market activity around price. By splitting volume into four quadrants, traders can better interpret order flow, identify dominant volume zones, and spot potential reversals or continuation setups. Whether you're trading breakouts, liquidity sweeps, or range-bound behavior — this tool adds a structured layer of volume context to your charting workflow.
Bar Statistics - DELTA/OI/TOTAL/BUY/SELL/LONGS/SHORTSBar Statistics - Advanced Volume & Open Interest Analysis
Overview
The Bar Statistics indicator is a comprehensive analytical tool designed to provide traders with detailed insights into market microstructure through advanced volume analysis, open interest tracking, and market flow detection. This indicator transforms complex market data into easily digestible visual information, displaying six key metrics in customizable colored boxes that update in real-time.
Unlike traditional volume indicators that only show basic volume data, this indicator combines multiple data sources to reveal the underlying forces driving price movement, including volume delta calculations from lower timeframes, open interest changes, and estimated market positioning.
What Makes This Indicator Unique
1. Multi-Timeframe Volume Delta Precision
The indicator utilizes lower timeframe data (default 1-second) to calculate highly accurate volume delta measurements, providing much more precise buy/sell pressure analysis than standard timeframe-based calculations. This approach captures intraday volume dynamics that are often missed by conventional indicators.
2. Real-Time Updates
Unlike many indicators that only update on bar completion, this tool provides live updates for the developing candle, allowing traders to see evolving market conditions as they happen.
3. Market Flow Analysis
The unique "L/S" (Long/Short) metric combines open interest changes with price/volume direction to estimate net market positioning, helping identify when participants are accumulating or distributing positions.
4. Adaptive Visual Intensity
The gradient color system automatically adjusts based on historical context, making it easy to identify when current values are significant relative to recent market activity.
5. Complete Customization
Every aspect of the display can be customized, from the order of metrics to individual color schemes, allowing traders to adapt the tool to their specific analysis needs.
6.All In One Solution
6 Metrics in one indicator no more using 5 different indicators.
Core Features Explained
DELTA (Volume Delta)
What it shows: Net difference between aggressive buy volume and aggressive sell volume
Calculation: Uses lower timeframe data to determine whether each trade was initiated by buyers or sellers
Interpretation:
Positive values indicate aggressive buying pressure
Negative values indicate aggressive selling pressure
Magnitude indicates the strength of directional pressure
OI Δ (Open Interest Change)
What it shows: Change in open interest from the previous bar
Data source: Fetches open interest data using the "_OI" symbol suffix
Interpretation:
Positive values indicate new positions entering the market
Negative values indicate positions being closed
Combined with price direction, reveals market participant behavior
L/S (Net Long/Short Bias)
What it shows: Estimated net change in long vs short market positions
Calculation method: Combines open interest changes with price/volume direction using configurable logic
Scenarios analyzed:
New Longs: Rising OI + Rising Price/Volume = Long position accumulation
Liquidated Longs: Falling OI + Falling Price/Volume = Long position exits
New Shorts: Rising OI + Falling Price/Volume = Short position accumulation
Covered Shorts: Falling OI + Rising Price/Volume = Short position exits
Result: Net bias toward long (positive) or short (negative) market sentiment
TOTAL (Total Volume)
What it shows: Standard volume for the current bar
Purpose: Provides context for other metrics and baseline activity measurement
Enhanced display: Uses gradient intensity based on recent volume history
BUY (Estimated Buy Volume)
What it shows: Estimated aggressive buy volume
Calculation: (Total Volume + Delta) / 2
Use case: Helps quantify the actual buying pressure in monetary/contract terms
SELL (Estimated Sell Volume)
What it shows: Estimated aggressive sell volume
Calculation: (Total Volume - Delta) / 2
Use case: Helps quantify the actual selling pressure in monetary/contract terms
Configuration Options
Timeframe Settings
Custom Timeframe Toggle: Enable/disable custom lower timeframe selection
Timeframe Selection: Choose the precision level for volume delta calculations
Auto-Selection Logic: Automatically selects optimal timeframe based on chart timeframe
Net Positions Calculation
Direction Method: Choose between Price-based or Volume Delta-based direction determination
Value Method: Select between Open Interest Change or Volume for position size calculations
Display Customization
Row Order: Completely customize which metrics appear and in what order (6 positions available)
Color Schemes: Individual color selection for positive/negative values of each metric
Gradient Intensity: Configurable lookback period (10-200 bars) for relative intensity calculations
Visual Elements
Box Format: Clean, professional box display with clear labels
Color Coding: Intuitive color schemes with customizable transparency gradients
Real-time Updates: Live updating for developing candles with historical stability
How to Use This Indicator
For Day Traders
Volume Confirmation: Use DELTA to confirm breakout validity - strong directional moves should show corresponding volume delta
Entry Timing: Watch for volume delta divergences at key levels to time entries
Exit Signals: Monitor when aggressive volume shifts against your position
For Swing Traders
Market Flow: Focus on the L/S metric to identify when participants are accumulating or distributing
Open Interest Analysis: Use OI Δ to confirm whether moves are backed by new money or position adjustments
Trend Validation: Combine multiple metrics to validate trend strength and sustainability
For Scalpers
Real-time Edge: Utilize the live updates to see developing imbalances before bar completion
Quick Decision Making: Focus on DELTA and BUY/SELL for immediate market pressure assessment
Volume Profile: Use TOTAL volume context for optimal entry/exit sizing
Setup Recommendations
Futures Markets: Enable OI tracking and use Volume Delta direction method
Crypto Markets: Focus on DELTA and volume metrics; OI may not be available
Stock Markets: Use Price direction method with volume value calculations
High-Frequency Analysis: Set lower timeframe to 1S for maximum precision
Technical Implementation
Data Accuracy
Utilizes TradingView's ta.requestVolumeDelta() function for precise buy/sell classification
Implements error checking for data availability
Handles missing data gracefully with fallback calculations
Performance Optimization
Efficient array management with configurable lookback periods
Smart box creation and deletion to prevent memory issues
Optimized real-time updates without historical data corruption
Compatibility
Works on all timeframes from seconds to daily
Compatible with futures, forex, crypto, and stock markets
Automatically adjusts calculation methods based on available data
Risk Disclaimers
This indicator is designed for educational and analytical purposes. It provides statistical analysis of market data but does not guarantee trading success. Users should:
Combine with other forms of analysis
Practice proper risk management
Understand that past performance doesn't predict future results
Be aware that volume delta and open interest data quality varies by market and data provider
Conclusion
The Bar Statistics indicator represents a significant advancement in retail trader access to professional-grade market analysis tools. By combining multiple data sources into a single, customizable display, it provides the depth of analysis needed for comprehensive market microstructure understanding while maintaining the simplicity required for effective decision-making.
Reversal Scalper – Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges
General Description
The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting.
Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms.
⸻
Key Features
• Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data)
• Support for contract types: USDT.P, USD.P, USDC.P, USD.PM
• Automatic normalization of various OI data formats from different providers
• Display modes:
• OI candlestick chart (total aggregated OI)
• OI Delta (change in OI per bar)
• Full table with detailed data by exchange and contract type
• Short summary table with totals in USD and base assets
• Support for USD or COIN denomination
• Convenient formatting for large numbers
• Customizable colors
⸻
How to Use the Indicator
1. Select Exchanges
In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster.
2. Choose Data Type
• OI — aggregated open interest from selected exchanges.
• OI delta — delta (change in OI compared to the previous bar).
3. Denomination
• USD — values are converted into USD equivalents.
• COIN — values are shown in the base asset (BTC, ETH, etc.).
4. Reading the Chart
• OI candlesticks show the overall OI dynamics.
• Delta histogram highlights how much OI has grown or decreased per bar.
• Colors are fully customizable.
5. Tables
• Enabled via the Show table option.
• Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated.
• Short Table → Displays only the total OI values in USD and the base asset.
⸻
Important Notes
• For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation.
str(d, n, s) =>
str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s
format(_r) =>
d = str.tostring(math.round(_r))
str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d
⸻
Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
High Probability Order Blocks [AlgoAlpha]🟠 OVERVIEW
This script detects and visualizes high-probability order blocks by combining a volatility-based z-score trigger with a statistical survival model inspired by Kaplan-Meier estimation. It builds and manages bullish and bearish order blocks dynamically on the chart, displays live survival probabilities per block, and plots optional rejection signals. What makes this tool unique is its use of historical mitigation behavior to estimate and plot how likely each zone is to persist, offering traders a probabilistic perspective on order block strength—something rarely seen in retail indicators.
🟠 CONCEPTS
Order blocks are regions of strong institutional interest, often marked by large imbalances between buying and selling. This script identifies those areas using z-score thresholds on directional distance (up or down candles), detecting statistically significant moves that signal potential smart money footprints. A bullish block is drawn when a strong up-move (zUp > 4) follows a down candle, and vice versa for bearish blocks. Over time, each block is evaluated: if price “mitigates” it (i.e., closes cleanly past the opposite side and confirmed with a 1 bar delay), it’s considered resolved and logged. These resolved blocks then inform a Kaplan-Meier-like survival curve, estimating the likelihood that future blocks of a given age will remain unbroken. The indicator then draws a probability curve for each side (bull/bear), updating it in real time.
🟠 FEATURES
Live label inside each block showing survival probability or “N.E.D.” if insufficient data.
Kaplan-Meier survival curves drawn directly on the chart to show estimated strength decay.
Rejection markers (▲ ▼) if price bounces cleanly off an active order block.
Alerts for zone creation and rejection signals, supporting rule-based trading workflows.
🟠 USAGE
Read the label inside each block for Age | Survival% (or N.E.D. if there aren’t enough samples yet); higher survival % suggests blocks of that age have historically lasted longer.
Use the right-side survival curves to gauge how probability decays with age for bull vs bear blocks, and align entries with the side showing stronger survival at current age.
Treat ▲ (bullish rejection) and ▼ (bearish rejection) as optional confluence when price tests a boundary and fails to break.
Turn on alerts for “Bullish Zone Created,” “Bearish Zone Created,” and rejection signals so you don’t need to watch constantly.
If your chart gets crowded, enable Prevent Overlap ; tune Max Box Age to your timeframe; and adjust KM Training Window / Minimum Samples to trade off responsiveness vs stability.
STOCK SCHOOL | FVGThe Stock School FVG Indicator is designed to help traders identify and trade Fair Value Gaps (FVGs) and Inverse FVGs (IFVGs) with precision.
Built for both intraday and swing traders, this tool highlights high-probability trading zones where institutions leave imbalances in the market.
✨ Key Features:
Auto-detects FVGs & IFVGs in real-time
Works on all timeframes and instruments (Nifty, BankNifty, Stocks, Forex, Crypto)
Non-repainting logic for reliable signals
Clean and easy-to-use interface with Stock School styling
Perfect for Smart Money Concept (SMC) traders
🚀 With this indicator, you can:
Spot institutional footprints quickly
Combine with BOS, CHoCH, Order Blocks for high accuracy
Trade liquidity sweeps + FVG collisions with confidence
💡 Disclaimer:
This indicator is for educational purposes only. Trading involves risk. Always use proper risk management.
Money Flow | Lyro RSMoney Flow | Lyro RS
The Money Flow is a momentum and volume-driven oscillator designed to highlight market strength, exhaustion, and potential reversal points. By combining smoothed Money Flow Index readings with volatility, momentum, and RVI-based logic, it offers traders a deeper perspective on money inflow/outflow, divergences, and overbought/oversold dynamics.
Key Features
Smoothed Money Flow Line
EMA-smoothed calculation of the MFI for noise reduction.
Clear thresholds for overbought and oversold zones.
Normalized Histogram
Histogram plots show bullish/bearish money flow pressure.
Color-coded cross logic for quick trend assessment.
Relative Volatility Index (RVI) Signals
Detects overbought and oversold conditions using volatility-adjusted RVI.
Plots ▲ and ▼ markers at exhaustion points.
Momentum Strength Gauge
Calculates normalized momentum strength from ROC and volume activity.
Displays percentage scale of current momentum force.
Divergence Detection
Bullish divergence: Price makes lower lows while money flow makes higher lows.
Bearish divergence: Price makes higher highs while money flow makes lower highs.
Plotted as diamond markers on the oscillator.
Signal Dashboard (Table Overlay)
Displays real-time status of Money Flow signals, volatility, and momentum.
Color-coded readouts for instant clarity (Long/Short/Neutral + Momentum Bias).
How It Works
Money Flow Calculation – Applies EMA smoothing to MFI values.
Normalization – Scales oscillator between relative high/low values.
Trend & Signals – Generates bullish/bearish signals based on midline and histogram cross logic.
RVI Integration – Confirms momentum exhaustion with overbought/oversold markers.
Divergences – Identifies hidden market imbalances between price and money flow.
Practical Use
Trend Confirmation – Use midline crossovers with histogram direction for money flow bias.
Overbought/Oversold Reversals – Watch RVI ▲/▼ markers for exhaustion setups.
Momentum Tracking – Monitor momentum percentage to gauge strength of current trend.
Divergence Alerts – Spot early reversal opportunities when money flow diverges from price action.
Customization
Adjust length, smoothing, and thresholds for different markets.
Enable/disable divergence detection as needed.
Personalize visuals and dashboard display for cleaner charts.
⚠️ Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used alongside other methods and proper risk management. The creator is not responsible for financial decisions made using this script.
S&R ZonesThis indicator automatically detects swing highs and swing lows on the chart using a 3-bar swing structure. Once a swing point is confirmed, it evaluates the price movement and body size of subsequent candles. If the movement meets a volume-based range condition (2.5× the average body size of the last 5 candles), the indicator creates a zone around that swing.
Swing High Zones: Drawn from the highest price of the swing cluster down to its midpoint.
Swing Low Zones: Drawn from the lowest price of the swing cluster up to its midpoint.
These zones act as dynamic support and resistance levels and remain on the chart until they are either:
Broken (price closes beyond the zone), or
Expired (more than 200 bars old).
Zones are color-coded for clarity:
🔴 Red shaded areas = Swing High resistance zones.
🟢 Green shaded areas = Swing Low support zones.
This makes the indicator useful for identifying high-probability reversal areas, liquidity zones, and supply/demand imbalances that persist until invalidated.
Trojan Cycle: Dip & Profit Hunter📉 Crypto is changing. Your signals should too.
This script doesn’t try to outguess price — it helps you track capital rotation and flow behavior in alignment with the evolving macro structure of the digital asset market.
Trojan Cycle: Dip & Profit Hunter is a signal engine built to support and validate the capital rotation models outlined in the Trojan Cycle and Synthetic Rotation theses — available via RWCS_LTD’s published charts
It is not a classic “buy low, sell high” tool. It is a structural filter that uses price/volume statistics to surface accumulation zones, synthetic traps, and macro context shifts — all aligned with the institutionalization of crypto post-2024.
🧠 Purpose & Value
Crypto no longer follows the retail-led, halving-driven pattern of 2017 or 2021.
Instead, institutional infrastructure, regulatory filters, and equity-market Trojan horses define the new path of capital.
This tool helps you visualize that path by interpreting behavior through statistical imbalances and real-time momentum signals.
Use it to:
Track where capital is accumulating or exiting
Identify signals consistent with true cycle rotation (vs. synthetic traps)
Validate your macro view with real-time statistical context
🔍 How It Works
The engine combines four signal layers:
1. Z-Score Logic
- Measures how far price and volume have deviated from their mean
- Detects dips, blowoffs, and exhaustion zones
2. Percentile Logic
- Compares current price and volume to historical rank distribution
- Flags statistically rare conditions (e.g. bottom 10% price, top 90% volume)
3. Combined Context Engine
- Integrates both models to generate one of 36 unique output states
- Each state provides a labeled market context (e.g., 🟢 Confluent Buy, 🔴 Confluent Sell, 🧨 Synthetic Trap )
4. Momentum Spread & Divergence
- Measures whether price is leading volume (trap risk) or volume is leading price (accumulation)
- Outputs intuitive momentum context with emoji-coded alerts
📋 What You See
🧠 Contextual Table UI with key Z-Scores, percentiles, signals, and market commentary
🎯 Emoji-coded signals to quickly grasp high-probability setups or risk zones
🌊 Optional overlays: price/volume divergence, momentum spread
🎨 Visual table customization (size, position) and chart highlights for signal clarity
🔔 Alert System
✅ Single dynamic alert using alert() that only fires when signal context changes
Prevents alert fatigue and allows clean webhook/automation integration
🧭 Use Cases
For macro cycle traders: Track where we are in the Trojan Cycle using statistical context
For thesis explorers: Use the 36-output signal map to match against your rotation thesis
For capital rotation watchers: Identify structural setups consistent with ETF-driven or compliance-filtered flow
For narrative skeptics: Avoid synthetic altseason traps where volume lags or flow dries up
🧪 Suggested Pairing for Thesis Validation
To use this tool as part of a thesis-confirmation framework , pair it with:
BTC.D — Bitcoin Dominance
ETH/BTC — Ethereum strength vs. Bitcoin
TOTALE100/ETH — Altcoin strength relative to ETH
RWCS_LTD’s published charts and macro cycle models
🏁 Final Note
Crypto has matured. So should your signals.
This tool doesn’t try to game the next 2 candles. It helps you understand the current phase in a compliance-filtered, institutionalized rotation model.
It’s not built for hype — it’s built for conviction.
Explore the thesis → Validate the structure → Trade with clarity.
🚨 Disclaimer
This script is not financial advice. It is an analytical tool designed to support market structure research and rotation thesis validation. Use this as part of a broader framework including technical structure, dominance charts, and macro data.
Smart Money SignalsSmart Money Signals – Market Flow & Structure Visualizer
Overview
Smart Money Signals is a precision trading tool designed for traders who want to see market structure and momentum flow in real time. By detecting pivots, momentum imbalances, and dynamic support/resistance levels, the indicator transforms raw price action into a clear visual narrative of where capital is entering and exiting the market.
Instead of lagging averages or cluttered signals, Smart Money Signals highlights the moments that matter most—where bullish and bearish flows are confirmed, where support or resistance breaks, and where momentum zones show the true battleground between buyers and sellers. Its adaptive design makes it equally effective for scalpers seeking sharp entries, swing traders tracking reversals, and longer-term traders looking for confirmation of bias.
How It Works
The engine behind Smart Money Signals relies on swing detection and a configurable sensitivity filter. By monitoring directional momentum across recent bars, the system identifies bullish pivots (where downside exhaustion flips into strength) and bearish pivots (where upward thrust collapses into weakness).
When price confirms a pivot, the indicator draws flow lines to mark the breakout and labels them as either continuation or reversal events, depending on existing market bias. Momentum zones are automatically plotted, highlighting the critical areas where buyers defended price or sellers pressed it lower.
Dynamic support and resistance levels extend forward in time, updating live as price develops. These zones change color when broken, visually signaling whether structure has held or failed. Gradient background shading further emphasizes moments of extreme momentum, such as overbought or oversold surges, so that traders instantly see when market pressure intensifies.
Signals and Market Flows
Smart Money Signals provides visual cues that are both intuitive and actionable:
📈 Bullish Flow Signals appear when price breaks above a confirmed pivot, signaling continuation or reversal into strength.
📉 Bearish Flow Signals appear when price breaks below a confirmed pivot, indicating continuation or reversal into weakness.
Momentum Zones highlight the defended areas between pivots, giving traders a visual map of where structure is strongest.
Dynamic Support & Resistance lines extend across the chart, shifting from defense to failure when broken, ensuring that the most relevant levels are always visible.
Break Signals mark the exact bar where key levels give way, confirming structural violations in real time.
By filtering out noise and focusing on meaningful flow events, the system helps traders avoid overreaction and focus only on high-probability structural shifts.
Strategy Integration
Smart Money Signals is versatile across trading styles:
Trend Continuation : Enter in the direction of flow signals, using dynamic zones as both confirmation and stop-loss placement.
Reversal Trading : Watch for pivots tagged as reversal points, where market bias flips and new structure is created.
Momentum Zone Entries : Use the automatically drawn zones to identify low-risk entries on pullbacks or retests.
Bias Alignment : The integrated dashboard reveals the current market bias—bullish, bearish, or neutral—helping traders stay aligned with the dominant flow.
Stop-losses can be positioned beyond the dynamic zone on the opposite side, while take-profits may be guided by the width of zones or momentum-driven extensions. On higher timeframes, the indicator provides context for macro structure, while lower timeframes allow for tactical entry refinement.
Advanced Techniques
Traders seeking deeper precision can combine Smart Money Signals with volume or order flow tools to validate pivots and zone defenses. Monitoring the sequence of bullish and bearish flows helps identify trend maturity, while analyzing the success rate of pivots in the analytics panel builds a data-driven approach to confidence in signals.
Adjusting swing period and sensitivity allows the indicator to adapt to different market conditions, from volatile crypto pairs to steady forex majors. The flexible visual themes—Cyber, Ocean, Sunset, Matrix—ensure readability across setups, while gradient shading keeps the chart intuitive even under fast-moving conditions.
Why Use Smart Money Signals
Markets are driven by liquidity, momentum, and structure. Smart Money Signals uncovers these forces by translating price action into a clear visual map of flow. It shows:
Where structure was built.
Where it was defended.
Where it was broken.
And where momentum is likely to carry next.
By combining flow detection, dynamic zones, and a live analytics dashboard, the indicator provides traders with a complete framework for reading price action in real time.
Whether you trade crypto, forex, or indices, Smart Money Signals adapts seamlessly to any asset class, giving you clarity, precision, and confidence to execute without second-guessing.
VSA Signals [odnac]This indicator applies Volume Spread Analysis (VSA) concepts to highlight important supply and demand events directly on the chart. It automatically detects common VSA patterns using price spread, relative volume, and candle structure, with optional trend filtering for higher accuracy.
Features:
Stopping Volume (SV): Signals potential end of a downtrend when heavy buying appears.
Buying Climax (BC): Indicates exhaustion of an uptrend with heavy volume near the top.
No Supply (NS): Weak selling pressure, often a bullish sign in an uptrend.
No Demand (ND): Weak buying interest, often a bearish sign in a downtrend.
Test: Low-volume test bar probing for supply.
Up-thrust (UT): Failed breakout with long upper wick, often a bearish trap.
Shakeout: Bear trap with high-volume wide down bar closing low.
Demand Absorption (DA): Demand absorbing heavy selling pressure.
Supply Absorption (SA): Supply absorbing heavy buying pressure.
Additional Options:
Background highlights for detected signals.
Configurable moving average (SMA, EMA, WMA, VWMA) as a trend filter.
Adjustable multipliers for volume and spread sensitivity.
Legend table for quick reference of signals and meanings.
Alerts available for all signals.
This tool is designed to help traders spot professional accumulation and distribution activity and to improve trade timing by recognizing supply/demand imbalances in the market.
TRI - Smart Zones============================================================================
# TRI - SMART ZONES v2.0
## Professional Smart Money Concepts Indicator for Pine Script v6
============================================================================
## 📊 OVERVIEW
**TRI - Smart Zones** is a comprehensive Smart Money Concepts indicator that
combines multiple institutional trading concepts into a single, powerful tool.
Built with Pine Script v6 for optimal performance and reliability.
## 🎯 CORE FEATURES
### **Fair Value Gaps (FVG)**
- **Detection**: Automatic identification of price imbalances
- **Types**: Bullish and Bearish Fair Value Gaps
- **Threshold**: Customizable gap size requirements (0.1% default)
- **Extension**: Configurable zone projection length
- **Mitigation**: Real-time tracking of gap fills
### **Order Blocks (OB)**
- **Detection**: Volume-based institutional footprint identification
- **Types**: Bullish and Bearish Order Blocks
- **Method**: Pivot-based volume analysis with configurable lookback
- **Validation**: Market structure confirmation required
- **Extension**: Adjustable zone projection
### **BSL/SSL Liquidity Levels**
- **Multi-Timeframe**: Automatic higher timeframe reference
- **Dynamic**: Real-time level updates and extensions
- **Visual**: Clear line markings with timeframe labels
- **Smart**: Adaptive timeframe selection based on current chart
### **Fibonacci Extensions**
- **ZigZag Integration**: Advanced pivot point detection
- **Levels**: Customizable Fibonacci ratios (38.2%, 61.8%, 100%, 161.8%)
- **Projection**: Dynamic extension from swing points
- **Visual**: Subtle dashed lines with level/price labels
### **Smart Dashboard**
- **Zone Statistics**: Real-time FVG and OB counts
- **Success Rates**: Mitigation percentages for each zone type
- **Market Bias**: Intelligent bullish/bearish/neutral assessment
- **Positioning**: Customizable location and size
### **Zone Analysis Engine**
- **Technical Confluence**: RSI, ADX, ATR, Volume analysis
- **VWAP Integration**: Institutional price reference
- **Confidence Scoring**: High/Mid/Low signal classification
- **Signal Arrows**: Visual trade direction indicators
## 🔔 ALERT SYSTEM
### **Market Structure Alerts**
- `Market Bias Changed` - Shift in overall market sentiment
- `BSL Touched` - Buy Side Liquidity level reached
- `SSL Touched` - Sell Side Liquidity level reached
### **Zone Touch Alerts**
- `OB Touched` - Any Order Block interaction
- `Bullish OB Touched` - Bullish Order Block touch
- `Bearish OB Touched` - Bearish Order Block touch
- `FVG Touched` - Any Fair Value Gap interaction
- `Bullish FVG Touched` - Bullish FVG touch
- `Bearish FVG Touched` - Bearish FVG touch
- `Zone Touched` - Any Smart Zone interaction
- `Bullish Zone Touched` - Any bullish zone touch
- `Bearish Zone Touched` - Any bearish zone touch
## ⚙️ CONFIGURATION
### **Zone Detection**
- Enable/disable FVG and OB detection independently
- Maximum zones per type (3-15, default: 8)
- Zone-specific threshold and extension settings
### **Visual Customization**
- Individual color schemes for each zone type
- Adjustable transparency levels
- Configurable line styles and widths
- Dashboard positioning and sizing options
### **Technical Analysis**
- RSI, ADX, ATR period customization
- Volume threshold multipliers
- Confidence level color coding
- Signal display toggle
## 🚀 PINE SCRIPT v6 OPTIMIZATIONS
- **User-Defined Types**: Structured data for zones and statistics
- **Methods**: Type-specific operations for better code organization
- **Enhanced Arrays**: Optimized memory management
- **Switch Statements**: Improved performance for zone classification
- **Error Handling**: Robust input validation and edge case management
- **Performance**: Efficient algorithms for real-time analysis
## 📈 TRADING APPLICATIONS
### **Entry Strategies**
- Zone confluence for high-probability setups
- Multi-timeframe confirmation via BSL/SSL
- Fibonacci extension targets
- Signal arrows for directional bias
### **Risk Management**
- Zone mitigation for stop-loss placement
- Market bias for position sizing
- Dashboard statistics for strategy validation
### **Market Analysis**
- Institutional footprint identification
- Liquidity level mapping
- Market structure assessment
- Trend continuation vs reversal analysis
## 🔧 TECHNICAL SPECIFICATIONS
- **Version**: Pine Script v6
- **Overlay**: True (draws on price chart)
- **Max Objects**: 100 boxes, 100 lines, 50 labels
- **Performance**: Optimized for real-time analysis
- **Compatibility**: All TradingView chart types and timeframes