Day/Week/Month Metrics (Zeiierman)█ Overview
The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and monthly metrics provides a granular view of the instrument's behavior.
The indicator requires the chart to be set on a daily timeframe.
█ Key Statistics
⚪ Day in month
The performance of financial markets can show variability across different days within a month. This phenomenon, often referred to as the "monthly effect" or "turn-of-the-month effect," suggests that certain days of the month, especially the first and last days, tend to exhibit higher than average returns in many stock markets around the world. This effect is attributed to various factors including payroll contributions, investment of monthly dividends, and psychological factors among traders and investors.
⚪ Edge
The Edge calculation identifies days within a month that consistently outperform the average monthly trading performance. It provides a statistical advantage by quantifying how often trading on these specific days yields better returns than the overall monthly average. This insight helps traders understand not just when returns might be higher, but also how reliable these patterns are over time. By focusing on days with a higher "Edge," traders can potentially increase their chances of success by aligning their strategies with historically more profitable days.
⚪ Month
Historically, the stock market has exhibited seasonal trends, with certain months showing distinct patterns of performance. One of the most well-documented patterns is the "Sell in May and go away" phenomenon, suggesting that the period from November to April has historically brought significantly stronger gains in many major stock indices compared to the period from May to October. This pattern highlights the potential impact of seasonal investor sentiment and activities on market performance.
⚪ Day in week
Various studies have identified the "day-of-the-week effect," where certain days of the week, particularly Monday and Friday, show different average returns compared to other weekdays. Historically, Mondays have been associated with lower or negative average returns in many markets, a phenomenon often linked to the settlement of trades from the previous week and negative news accumulation over the weekend. Fridays, on the other hand, might exhibit positive bias as investors adjust positions ahead of the weekend.
⚪ Week in month
The performance of markets can also vary within different weeks of the month, with some studies suggesting a "week of the month effect." Typically, the first and the last week of the month may show stronger performance compared to the middle weeks. This pattern can be influenced by factors such as the timing of economic reports, monthly investment flows, and options and futures expiration dates which tend to cluster around these periods, affecting investor behavior and market liquidity.
█ How It Works
⚪ Day in Month
For each day of the month (1-31), the script calculates the average percentage change between the opening and closing prices of a trading instrument. This metric helps identify which days have historically been more volatile or profitable.
It uses arrays to store the sum of percentage changes for each day and the total occurrences of each day to calculate the average percentage change.
⚪ Month
The script calculates the overall gain for each month (January-December) by comparing the closing price at the start of a month to the closing price at the end, expressed as a percentage. This metric offers insights into which months might offer better trading opportunities based on historical performance.
Monthly gains are tracked using arrays that store the sum of these gains for each month and the count of occurrences to calculate the average monthly gain.
⚪ Day in Week
Similar to the day in the month analysis, the script evaluates the average percentage change between the opening and closing prices for each day of the week (Monday-Sunday). This information can be used to assess which days of the week are typically more favorable for trading.
The script uses arrays to accumulate percentage changes and occurrences for each weekday, allowing for the calculation of average changes per day of the week.
⚪ Week in Month
The script assesses the performance of each week within a month, identifying the gain from the start to the end of each week, expressed as a percentage. This can help traders understand which weeks within a month may have historically presented better trading conditions.
It employs arrays to track the weekly gains and the number of weeks, using a counter to identify which week of the month it is (1-4), allowing for the calculation of average weekly gains.
█ How to Use
Traders can use this indicator to identify patterns or trends in the instrument's performance. For example, if a particular day of the week consistently shows a higher percentage of bullish closes, a trader might consider this in their strategy. Similarly, if certain months show stronger performance historically, this information could influence trading decisions.
Identifying High-Performance Days and Periods
Day in Month & Day in Week Analysis: By examining the average percentage change for each day of the month and week, traders can identify specific days that historically have shown higher volatility or profitability. This allows for targeted trading strategies, focusing on these high-performance days to maximize potential gains.
Month Analysis: Understanding which months have historically provided better returns enables traders to adjust their trading intensity or capital allocation in anticipation of seasonally stronger or weaker periods.
Week in Month Analysis: Identifying which weeks within a month have historically been more profitable can help traders plan their trades around these periods, potentially increasing their chances of success.
█ Settings
Enable or disable the types of statistics you want to display in the table.
Table Size: Users can select the size of the table displayed on the chart, ranging from "Tiny" to "Auto," which adjusts based on screen size.
Table Position: Users can choose the location of the table on the chart
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
ابحث في النصوص البرمجية عن "liquidity"
Temporary imbalances 2.0 This indicator attempts to calculate potential points of imbalance and equilibrium based on VWAPs and modified moving averages. The idea is to determine if there has been a change in volume and perform the calculation from that point It uses the standard deviation to determine the significant imbalance threshold. Candles with bullish imbalances are highlighted in green, while candles with bearish imbalances are highlighted in red.
"It also features a set of VWAPs and modified moving averages that you can enable or disable."
When you activate the 'Show Anchor VWAP' option, it will add five modified VWAPs.
Practical Significance:
The Anchored VWAP is a volume-weighted average price that serves as a dynamic reference to assess the average price during specific moments of market imbalance.
During a bullish imbalance, the anchor_vwap reflects the VWAP at that moment, emphasizing price behavior during that specific period.
Similarly, in a bearish imbalance, the anchor_vwap provides the associated VWAP for that condition, highlighting price movements during the imbalance phase.
How to Use:
The anchor_vwap can be employed to contextualize the volume-weighted average price during critical moments associated with significant changes in market imbalance.
By analyzing price behavior during and after periods of imbalance, the Anchored VWAP can help better understand market dynamics and identify potential areas of support or resistance.
Show VWAP Percent Imbalance"
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The "showDeltaVWAP" is a toggleable setting that you can turn on or off. When activated, it displays special lines on the chart. Let's understand what these lines represent:
Delta Anchor VWAP:
A green line (Delta Anchor VWAP) represents a measure of market volume imbalance.
Delta2 Anchor VWAP:
A red line (Delta2 Anchor VWAP) shows another perspective of volume imbalance.
VWAP Delta Volume:
A light blue line (VWAP Delta Volume) displays a volume-weighted average of price.
VWAP Delta Volume2:
An orange line (VWAP Delta Volume2) shows another view of the volume-weighted average of price.
Delta3 Anchor VWAP:
A light blue line (Delta3 Anchor VWAP) represents a combination of the previous measures.
Delta4 Anchor VWAP:
A purple line (Delta4 Anchor VWAP) is another combination, providing an overall view.
These lines are based on different conditions and calculations related to trading volume. When you activate "showDeltaVWAP," these lines appear on the chart, aiding in better understanding market behavior.
"Show Faster Volatility" is an option that you can enable or disable. When activated (set to true), it displays special lines on the chart called "Faster Volatility VWAP," "Faster Volatility VWAP2," and "Faster Volatility VWAP3." Let's understand what these lines represent:
Faster Volatility VWAP:
A purple line (Faster Volatility VWAP) is a Volume Weighted Average Price (VWAP) that is calculated more quickly based on short-term price reversal patterns.
Faster Volatility VWAP2:
A light gray line (Faster Volatility VWAP2) is another Volume Weighted Average Price (VWAP) that is calculated even more quickly based on even shorter-term price reversal patterns.
Faster Volatility VWAP3:
A purple line (Faster Volatility VWAP3) is another Volume Weighted Average Price (VWAP) calculated rapidly based on even shorter-term price reversal patterns.
These lines are designed to indicate moments of possible exhaustion of volatility in the market, suggesting that there may be a subsequent increase in volatility. When you activate "Show Faster Volatility," these lines are displayed on the chart.
"Show Average VWAPs Imbalance" displays weighted averages of different Volume Weighted Average Prices (VWAPs) in relation to specific market conditions. Here's an explanation of each component:
Standard VWAP:
The blue line represents the standard VWAP, a volume-weighted average of asset prices over a specific period.
VWAP with Added Imbalance (avg_vwap2):
The pink line is a weighted average that adds an imbalance value to the standard VWAP. This component highlights periods of market imbalance.
VWAP with Balance (avg_vwap3):
The lilac line is a weighted average that adds balance based on the imbalance between uptrend and downtrend, reflecting changes in volume. This provides insights into supply and demand dynamics.
Overall Average of VWAPs (avg_vwaptl):
The violet line is a weighted average that incorporates both standard and adjusted VWAPs, offering an overview of market behavior under different considered conditions.
Visual Customization (Show Average VWAPs Imbalance):
Users have the option to show or hide these average lines on the chart, allowing for a clear visualization of market trends.
"Show Min Variation VWAP" is associated with the calculation and display of a smoothed version of the Volume Weighted Average Price (VWAP), taking into account the minimum price variation over a specific period.
"How Imbalance Anchor VWAP Calculated as the smoothed relationship between liquidity difference and maximum VWAP equilibrium" is associated with the calculation and display of a smoothed version of the Imbalance Anchor VWAP. Here is a detailed explanation:
Calculations and Smoothing:
The variable "smoothed_difference" represents the exponential moving average (EMA) of the difference between two variables related to liquidity.
"smoothed_difference2" is the division of "smoothed_difference" by the maximum variation of the VWAP Equilibrium.
"smoothed_difference3" involves additional manipulation of "smoothed_difference" and "vwap_delta3."
"smoothed_difference4" incorporates the previous results, adjusted by the value of the VWAP.
Visual Customization:
The user has the option to enable or disable the display on the chart.
The line is colored in a shade of green.
It provides a smoothed representation of the Imbalance Anchor VWAP.
The line is colored in a shade of blue, and the calculation involves the summation of moving averages (20, 50, 200). Afterward, there is division by 3. Additionally, there is the summation of moving averages (766, 866, 966), divided by 3. The final step is to add these results together and divide by 2. media name is Imbalance Value2
Show VWAP Equilibrium (Max Variation) Calculated as the difference between two VWAPs derived from the highest and lowest price changes
Show Equilibrium VWAP Calculated as the sum of VWAP and (sma200 - sma20)
calculate the difference between the media of 200 to 20
Show Equilibrium VWAP Calculated as the sum of VWAP and (766+866+966)/3 - (sma200 - sma20)
Show Equilibrium VWAP Standard Deviation Calculated as the Exponential Moving Average (EMA) of the Standard Deviation of SMA (sma200 + sma20 + sma8)/3
Show Equilibrium VWAP Delta Calculated as the ratio of the smoothed VWAP Delta Result componentes
Show Standard Deviation Equilibrium VWAP Delta: Calculated as the Standard Deviation between the Average of VWAP Delta Result Components and Their Smoothed Versions
This average attempts to calculate the equilibrium."
vwap_equilibrium:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price (hl2) multiplied by volume, focusing on periods of volume equilibrium.
Calculation: Utilizes the simple moving average weighted (sma) of the product of the volume-weighted average price and volume only when there is no volume imbalance.
Interpretation: This indicator provides a view of the volume-weighted price trend during moments when the market is in equilibrium, meaning there is no noticeable imbalance in volume conditions. The calculation of VWAP is adjusted to reflect market characteristics during periods of stability.
vwap_percent_condition:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The objective of these two VWAPs is to calculate possible equilibrium points between buyers and sellers.
The indicator works for all timeframes This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
Interesting
Interesting
lookback period 7 , 12, 20,70,200, 500,766,866,966
imbalance threshold 2.4, 3.3 ,4.2
The objective of this indicator is to identify and highlight various points of imbalance and equilibrium.
Advanced Optimized VSA - 15 MinThis script is written in Pine Script and is designed to be run on the TradingView trading platform. It is an advanced technical analysis indicator that utilizes various methods and indicators to generate trading signals based on a Volume Spread Analysis (VSA) approach.
Here's a detailed breakdown of its functionalities:
### Customizable Parameters:
1. `scoreLabel` and `TDLabel`: Customizable labels for score and trend direction.
2. `labelColorScore` and `labelColorTD`: Colors for the score and trend direction labels.
### Base Indicators and Variables:
1. `spread`: Calculates the difference between the high and low of a candle.
2. `emaVolume`: Exponential moving average of volume over a 21-period range.
3. `rsi14`: Relative Strength Index (RSI) over a 14-period range.
4. `sma200` and `ema50`: Simple moving average over a 200-period range and exponential moving average over a 50-period range, respectively.
5. `volatility`: Calculates the 14-period Average True Range (ATR) to determine volatility.
6. `trendDirection`: Establishes the trend direction based on the SMA200.
### Risk Management:
1. `atrValue`: Calculates the value of the ATR.
2. `stopLoss` and `takeProfit`: Calculates the stop-loss and take-profit levels based on the ATR.
### MACD:
Computes the MACD line, signal line, and histogram.
### Volume Analysis:
1. `weightedVol`: Weighted volume.
2. `forceFactor`: Measures the strength of price movement in relation to volume.
### Support and Resistance:
1. `support` and `resistance`: Calculates support and resistance levels based on the most recent 50 periods.
### Liquidity Check:
1. `isLiquid`: Checks if an asset is sufficiently liquid.
### Score Calculation:
Evaluates various factors such as price position relative to support/resistance levels, RSI, MACD, strength of movement, and volatility to generate a score.
### Criteria for Final Signals:
1. `isBullSpread` and `isBearSpread`: Generates a bullish or bearish signal based on various factors, including the score, trend direction, and liquidity.
### Notifications:
Generates alert conditions for bullish and bearish signals.
### Graphical Elements:
Displays various indicators and signals on the chart, including stop-loss, take-profit, SMA200, EMA50, and support and resistance lines.
### Debugging Labels:
Shows labels on the chart for score and trend direction.
The goal is to provide a comprehensive picture of the current asset, taking into consideration various factors and generating potentially profitable trading signals.
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Questo script è scritto in Pine Script e progettato per essere eseguito sulla piattaforma di trading TradingView. È un indicatore di analisi tecnica avanzata che utilizza diversi metodi e indicatori per generare segnali di trading basati su un approccio Volume Spread Analysis (VSA).
Ecco un riepilogo dettagliato delle funzionalità:
### Parametri personalizzabili:
1. `scoreLabel` e `TDLabel`: Etichette personalizzabili per i punteggi e la direzione del trend.
2. `labelColorScore` e `labelColorTD`: Colori delle etichette per punteggio e direzione del trend.
### Indicatori e variabili base:
1. `spread`: Calcola la differenza tra il massimo e il minimo di una candela.
2. `emaVolume`: Media mobile esponenziale del volume con un periodo di 21.
3. `rsi14`: RSI (Relative Strength Index) con un periodo di 14.
4. `sma200` e `ema50`: Media mobile semplice con un periodo di 200 e media mobile esponenziale con un periodo di 50, rispettivamente.
5. `volatility`: Calcola l'Average True Range (ATR) con un periodo di 14 per determinare la volatilità.
6. `trendDirection`: Stabilisce la direzione del trend basata sulla SMA200.
### Gestione del rischio:
1. `atrValue`: Calcola il valore dell'ATR.
2. `stopLoss` e `takeProfit`: Calcola i livelli di stop-loss e take-profit basati sull'ATR.
### MACD:
Calcola le linee MACD, segnale e l'istogramma.
### Analisi del volume:
1. `weightedVol`: Volume ponderato.
2. `forceFactor`: Misura la forza del movimento del prezzo in relazione al volume.
### Supporto e resistenza:
1. `support` e `resistance`: Calcola i livelli di supporto e resistenza basati sui 50 periodi più recenti.
### Verifica della liquidità:
1. `isLiquid`: Verifica se un asset è sufficientemente liquido.
### Calcolo del punteggio:
Valuta diversi fattori come la posizione del prezzo rispetto ai livelli di supporto/resistenza, RSI, MACD, forza del movimento e volatilità per generare un punteggio.
### Criteri per i segnali finali:
1. `isBullSpread` e `isBearSpread`: Genera un segnale rialzista o ribassista basato su vari fattori, incluso il punteggio, la direzione del trend e la liquidità.
### Notifiche:
Genera condizioni di allarme per segnali rialzisti e ribassisti.
### Elementi grafici:
Visualizza diversi indicatori e segnali sul grafico, inclusi stop-loss, take-profit, SMA200, EMA50, e linee di supporto e resistenza.
### Etichette di debug:
Mostra etichette sul grafico per il punteggio e la direzione del trend.
L'obiettivo è fornire un quadro completo dell'asset corrente, prendendo in considerazione diversi fattori e generando segnali di trading potenzialmente profittevoli.
Scalping level 1.3.0The indicator shows the horizontal levels behind which the liquidity accumulates. The indicator is based on the price extremums according to the specified settings. Each extremum is marked with a faint blue line and the price. If two or more extrema are located at the same price or close enough to each other, they are highlighted in bright blue, and it indicates a strong resistance or support level. When prices approach strong resistance levels, we can consider the situation on a long breakout or a bounce from the level in the short. As price approaches strong support levels, we could consider a breakout in the short or a bounce from the level in the long. Each level has a time (indicated at each price extremum), when it was formed in hours, the more hours ago the level was formed, the stronger it is and the more likely is the price reaction at this level.
The marks next to the price show the distance in percent to the nearest strong levels, it gives a reference point for how soon the price will approach these levels.
Additional indicators, located at the top right of the chart help to make decisions in trading.
Daily dollar volume - shows how interesting the instrument to the market participants, if the traded volume for 24 hours is low, then it is not worth to pay attention to this tool.
Bitcoin correlation - (used for the cryptocurrency market), if the coin price follows the bitcoin (the indicator value is close to 1), then you should exclude this coin, because the price is controlled by robot correlators, not market participants.
Natr - the average volatility of a 5-minute candle in %. The low value of volatility can indicate that the instrument is not active at the moment. Also it is possible to use this value as a stoploss in scalper deals.
Price change - price change for the current session in %, if the value is more than 10% (for cryptocurrencies), then the breakdown of resistance levels have a higher probability than a bounce, if the value is less than -10%, then the probability of breaking support levels have a higher than a bounce.
Percentage of average daily ATR - shows how much the price passed in % for the current session from the average daily ATR. If price passed about 100%, it is possible to consider the price reversal from resistance or support levels.
Important! When trading on levels it is necessary to consider the situation in the Depth of Market. Pay attention to large densities located near support and resistance levels.
=== Basic settings: ===
LOCAL LEVEL, MIDDLE LEVEL, GLOBAL LEVEL . Three ranges of levels (local, middle, global). For each range, you can configure the period and lifetime of the level. For example, global levels are the strongest, they have the longest period and the longest time of existence (note: 0 for Lifetime means infinite time of existence), while local levels have the shortest period and the shortest time of existence. Period - the period in which the level is built. Lifetime - time after which the level is removed from the chart. Color and width - color and width of the line.
BREAK LEVELS . Levels broken by the price. These levels are displayed for convenient tracking of previous breakouts. Parameters are set similarly to other levels.
IMPORTANT LEVELS . Important levels show behind which price range the greatest accumulation of liquidity. Important levels can be adjusted by setting the minimum number of adjacent levels, for example 2 or more, as well as the maximum distance between adjacent levels. Thus, important levels show the accumulation of price extremums, behind which there are Stop Losses of the participants.
Near level coefficient - the distance coefficient between adjacent levels, the higher the coefficient is, the greater is the acceptable price range between the levels. The coefficient is multiplied by the average ATR, as a result we get the price range. For example, if we specify 0, then strong levels will be detected only if 2 or more extrema have the same price.
Minimum near levels - the minimum number of adjacent (close to each other) levels. For example, if 2 is specified, then if 2 or more levels are situated near each other at a distance not exceeding the distance, specified in the Near level coefficient, then those levels will be displayed in bright blue color.
Week level transparent - transparency of "weak" levels located at the price extremums.
COMMON.
Max distance to level - the maximum distance of levels is set by a coefficient, it is necessary to display only the closest levels to hide the levels that are formed very far from the current price. It is calculated on the basis of ATR.
Show level time - shows level existence time.
PRICE. Visual settings of price levels on the chart
Size - print size of price on the chart
Color - color of price on the chart
Round price color - color of the round price number. The round number is the price with the last two digits 0. Example 28124.00 or 0.2500
INDICATORS. Auxiliary numeric indicators (located in the upper right corner of the chart):
Daily dollar volume , the traded volume for the last 24 hours in dollars. You can specify a volume threshold in millions of dollars, above which the value will be highlighted in green. The default value is 100 million dollars. A high value of traded volume indicates a large number of participants and increases the probability of volatility of the instrument.
Bitcoin correlation , an indicator of price correlation with bitcoin, the lower the indicator, the instrument is more independent, the closer to 1, the stronger the instrument repeats bitcoin price movements. It has a threshold value of 0.5 by default. If the indicator reading is below the threshold, it is highlighted in color.
Natr , shows the average range at which the price passes in 5 min. The higher the indicator, the higher the volatility of the instrument.
Price change , price change in % for the current session.
Percentage of average daily ATR , shows how much the price passed in % for the current session from the average daily ATR.
Price & Volume Profile (Expo)█ Overview
The Price & Volume Profile provides a holistic perspective on market dynamics by simultaneously tracking price action and trading volume across a range of price levels. So it is not only a volume-based indicator but also a price-based one. In addition to illustrating volume distribution, it quantifies how frequently the price has fallen within a particular range, thus offering a holistic perspective on market dynamics.
This unique and comprehensive approach to market analysis by considering both price action and trading volume, two crucial dimensions of market activity. Its distinctive methodology offers several advantages:
Holistic Market View: By simultaneously tracking the frequency of specific price ranges (Price Profile) and the volume traded at those ranges (Volume Profile), this indicator provides a more complete picture of market behavior. It shows not only where the market is trading but also how much it's trading, reflecting both price acceptance levels and market participation intensity.
Point of Control (POC): The POC, as highlighted by this indicator, serves as a significant reference point for traders. It identifies the price level with the highest trading activity, thus indicating a strong consensus among market participants about the asset's fair value. Observing how price interacts with the POC can offer valuable insights into market sentiment and potential trend reversals.
Support and Resistance Levels: Price levels with high trading activity often act as support or resistance in future price movements. The indicator visually represents these levels, enabling traders to anticipate potential price reactions.
Price Profile
Price and Volume Profile
█ Calculations
The algorithm analyzes both trade frequency and volume across different price levels. It identifies these levels within the visible chart range, then examines each bar to determine if the selected price falls within these levels. If so, it increases a counter and adds the trading volume. This process repeats across the visible range and is visualized as a horizontal histogram, each bar representing a price level and the bar length reflecting trade frequency and volume. Additionally, it calculates the Point of Control (POC), signifying the price level with the highest activity.
In summary: The histogram presents a dual perspective - not only the traded volume at each price level but also the frequency of the price hitting each range. The longer the bar, the more times the price has frequented that specific range, revealing key insights into price behavior and acceptance levels. These frequently visited areas often emerge as strong support or resistance zones, helping traders navigate market movements.
Please note that the indicator adjusts to the visible price range, making it adaptable to changing market conditions. This dynamic analysis can provide more relevant and timely information than static indicators.
█ How to use
This indicator is beneficial for traders as it offers insights into the distribution of trading activity across different price levels. It helps identify key areas of support and resistance and gives a visual representation of market sentiment and liquidity.
The point of control (POC) , which is the price level with the highest traded volume or frequency count, becomes even more crucial in this context. It marks the price at which the most trading activity occurred, signaling a strong consensus among market participants about the asset's fair value. If the market price deviates significantly from the POC, it could suggest an overbought or oversold condition, potentially leading to a price reversion.
Fair Price Areas/gaps are specific price levels or zones where an asset has spent limited time in the past. These areas are considered interesting or significant because they may have an impact on future price action.
Similar to the concept of fair value gaps, which refers to discrepancies between an asset's market price and its estimated intrinsic value, Fair Price Areas/gaps focus on price levels that have been relatively underutilized in terms of trading activity. When an asset's price reaches a Fair Price Area/gap, traders and investors pay attention because they expect the price to react in some way. The rationale behind this concept is that price tends to gravitate towards areas where it has spent less time in the past, as the market perceives them as significant levels.
█ Settings
The indicator is customizable, allowing users to define the number of price levels (rows), the offset, the data source, and whether to display volume or frequency count. It also adjusts dynamically to the visible price range on the chart, ensuring that the analysis remains relevant and timely with changing market conditions.
Source: The price to use for the calculation. Typically, this is the closing price. By considering the user-selected Source (typically the closing price), the indicator determines the frequency with which the price lands within each designated price level (row) over the selected period. In essence, the indicator provides a count of bars where the Source price falls within each range, essentially creating a "Price Profile."
Row Size: The number of price levels (rows) to divide the visible price range into.
Display: Choose whether to display the number of bars ("Counter") or the total volume ("Volume") for each price level.
Offset: The distance of the histogram from the price chart.
Point of Control (POC): If enabled, the indicator will highlight the price level with the most activity.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
OverNightSession @joshuuuThis indicator highlights the Overnightsession (ONS), taught by TheCurrenyMerchant.
The Overnightsession is from 4-8 am UTC-5. This session can be used to form trades, e.g. after one side has been taken out.
It has the options to display Projection and the equilibrium level. Equilibrium level (50%) can be used to identify if price is currently in premium/discount of the range and the projections (standard deviations of the range) can be used to identify possible targets.
A classic setup he teaches is:
Price trades agressively out of the range taking liquidity. As soon as we trade above the high of the candle that took liquidity, that candle can be considered an orderblock, where the 50% level can be used for long setups.
⚠️ Open Source ⚠️
Coders and TV users are authorized to copy this code base, but a paid distribution is prohibited. A mention to the original author is expected, and appreciated.
⚠️ Terms and Conditions ⚠️
This financial tool is for educational purposes only and not financial advice. Users assume responsibility for decisions made based on the tool's information. Past performance doesn't guarantee future results. By using this tool, users agree to these terms.
Reversal Money Flow Indicator (RMFI)
This indicator is for tracking trend following of altcoins movement based on asset movement (RMFI, Reversal of Money Flow Indicator)
RMFI is specialized for the cryptocurrency market and can detect asset movement when altcoins, which previously showed similar price momentum as Bitcoin, begin to move independently
I have made many efforts to predict the independent volatility of altcoins that do not follow the price momentum of Bitcoin by modifying trading strategies and searching for patterns, but have faced many inefficiencies and disappointments. The time I spent constantly trying to simplify elements to consider between indicators according to the market conditions led me to create something truly innovative t I believe.
As the Market Cap of cryptocurrency has recently increased, liquidity has also increased, allowing for the classification of more patterns. Instead of considering many complex indicators, I focused on a single indicator to obtain clearer signals and were able to increase the reliability of patterns.
RMFI is not accurate in finding the reversal of independent momentum of all 8,000 altcoins (as of 2021), it is ideal for assets with slightly higher liquidity.
Education on all indicator functions will be provided through separate videos in my Telegram community space (refer to Instructions), and I would like to regularly research with users to provide better trading discoveries.
Introduction: It is very easy to read. The basic setting shows a divided view of positive and negative values, which is useful for finding independent trend reversals of altcoins. There are colors that need to be continuously watched, colors that indicate high possibility of trend reversal, and colors that indicate the start of trend reversal.
'Orange : indicates a monitoring signal
Sky blue : indicates an attempt of trend reversal after sufficient pressure
Green : Approaching independent trend reversal
Yellow : indicates a sudden trend reversal
Pink : overheating
Red : Weakness starts
I will explain the functions of RMFI indicator through below following chart.
'Orange candlesticks indicate a signal that assets are starting to move to the specific altcoin, while the blue candlesticks indicate that the asset movement has progressed enough to try for an independent trend reversal (It is not always the case that blue candles will be followed by 'orange candles in a specific order)
The green candles indicate that altcoin is nearing independent trend reversal, which is a BUY signal. The yellow candles indicate that, even though sufficient asset movement has not been confirmed, it is a signal for following the trend as the trend reversal has begun.
The green and yellow candles' signals must be evaluated by user. The first evaluation is to check that movement is sufficient by looking at the minus area's columns and blue columns. Additional details will be provided through a separate video in my Telegram community space (refer to Instructions)
*Buy signal evaluation (Sky blue) : Columns indicating trend reversal, which should be blue, is 'orange, indicating that assets are still in transit
*Buy signal evaluation (Green candle) : Blue column and green candle
*Buy signal evaluation (Yellow candle) : 'Orange column, indicating assets in transit and accumulation, is not visible, but minus area columns (blue) are confirmed and Columns cross into the plus area, indicating the start of a strong uptrend
Signals generated in the sequence of 'orange, blue, green, yellow are not always in order and can occur in the form of two signals or a single signal. I will explain further by looking at other example charts.
It is not the case that the candles' signals send a buy signal in all cases. However, by monitoring columns, user can identify when the trend is reversing and make good trades.
As previously explained, it is important for the user to pay attention to the changes in columns (ongoing : 'Orange columns / near completion of asset movement : Blue columns) when evaluating signals after a buy signal. Below is an example chart and detailed information on signal interpretation is provided in a separate video.
Pink candles indicate that assets that were previously inflow through altcoins are now being leaked. Signal of pink color implies that the upward trend may gradually decrease and price adjustments could occur. Red candles, on the other hand, indicate the start of a bearish momentum.
"Life dedicated to giving the best for the loved ones" Wishing luck to traders.
Expressing gratitude to all.
Volume composition / quantifytools— Overview
While net volume is useful information, it can be a blunt data point. Volume composition breaks down the content of volume, allowing a more detailed look inside each volume node. Volume composition consists of the following information:
Total volume (buy and sell). By default gray node.
Dominating volume (buy or sell). By default dark green/dark red node.
Dominating active volume (buy or sell). By default light green/light red node.
Dominating volume as percentage of total volume.
Dominating active volume as percentage of total active volume.
Buy and sell volume is defined by volume associated with lower timeframe up/down moves. This classification is further broken down to passive/active, standing for decreasing/increasing volume, e.g. a move up with volume higher than previous bar volume = active buy volume, a move up with volume lower than previous bar volume = passive buy volume.
Volume data is fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied:
Charts <= 30 min: 1 minute timeframe
Charts > 30 min & <= 3 hours : 5 minute timeframe
Charts > 3 hours & <= 8 hours : 15 minute timeframe
Charts > 8 hours & <= 1D: 1 hour timeframe
Charts > 1D & <= 3D : 2 hour timeframe
Charts > 3D: 4 hour timeframe
Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining buy/sell volume, e.g. using close as source, a close that is higher than previous close would be considered as buy volume. This could be replaced with OHLC4 for example, resulting in a volume direction based on OHLC average.
Volume composition of current chart can also be replaced with any other chart volume composition:
— Visuals
Breakdown of visual elements:
1. Symbol and timeframe used for volume composition calculations. By default the chart that is viewed and automatically selected lower timeframe.
2. Dominating volume threshold exceeded. Can be defined via input menu, 70% of total volume by default.
3. Dominating volume as percentage of total volume. Plotted below volume nodes, without % symbol.
4. Dominating active volume, + or - symbol, standing for buy and sell. Plotted below dominating volume percentage. When dominating volume and dominating active volume sides are in a disagreement (e.g. dominating volume is on buy side while dominating active volume is on sell side) this symbol will appear inside brackets, (+) or (-).
5. Dominating active volume as percentage of total active volume. Plotted below +/- symbol.
6. Dominating active volume threshold exceeded. Can be defined via input menu, 70% by default.
Dominating volume & active volume percentages can be rounded to single numbers to avoid clutter caused by overlapping values. The percentage values will be rounded to closest single number value, e.g. dominating volume percentage at 54% = 5, dominating volume percentage at 55% = 6.
Volume anomalies can be highlighted on the chart with a color for studying the events and their past implications in greater detail. Available anomalies for highlights are the following:
Buy volume threshold exceeded
Sell volume threshold exceeded
Active buy volume threshold exceeded
Active sell volume threshold exceeded
Volume & active volume divergence
— Practical guide
Volume is arguably one of the most important data points as it directly relates to liquidity. High volume can be an indication of strength (price likely to continue moving) or absorption (price likely to halt/turn). Same applies to active volume, but with an element of aggression. High active volume serves as an indication of exuberance or otherwise forceful transacting, like stop losses triggering. With these principles in mind, the composition of volume allows distinguishing potentially important events.
Example #1 : Identifying areas of trapped market participants
Often when volume spikes distinctively, we can make the case that price has found sufficient liquidity to halt/turn. Since we know which side was absorbed, in what quantity and type (passive/active), we can identify areas of trapped market participants. In such scenarios, the higher the dominant active volume and volume spike itself, the better.
Example #2 : Identifying a healthy trend
A healthy trend is one that has an active and consistent bid driving it. When this is the case, it can be seen in consistently supportive active volume.
Example #3 : Identifying inflection points
When dominant side of volume and dominant side of active volume diverge, something is up. A divergence often marks an area of indecision, hinting an imminent move one way or the other.
Vol in FiatThis indicator is modified from veryevilone's BTC Volume in Fiat. Modified color and style, and bumped Pine language Version.
It shows volume in fiat, AKA dollar volume . If a trade pair is not traded in fiat, e.g. AAA-BBB , then it shows how much volume the BBB is involved.
Good for comparing liquidity between different pairs. Also good for pairs with big price fluctuation to determine actual liquidity.
IC Sniper
Hello fellow traders,
This is a script which tries to visualise SMC /Institutional Candles.
Few of the features which are used in the script are explained below,
CAUTION, Do not enable IC Candles option (BETA). It has a lot of flaws which require solving the problem from a different angle, and I am trying my level best to figure out a solution.
Left Bars and Right Bars, used to find pivot high and lows to help us make Market Structure.
Now first thing to understand when trying to figure out SMC or institutional moves is the figure out the trend you are in. Trend is always your friend, so use higher time frame to just see the trend ( Trend lines are handy ).
I suggest using manual trend detection option, you have other two options available. Either of them have some flaws which can be worked upon if required.
Find the trend, be it manually or EMA ensures are trend support order blocks and engulfing candles are shown.
IC = Institutional Candle
How to find an IC ???
Simple things are ensured.
Below is defined for a bear market
1) Clears liquidity ( I simply see the last green candle before a minor dump ( vice-versa ) and see if the last green candle or the following red candle have huge wicks which clear recent previous highs (3 candles)
2) Next I see if the red candle after the last green candles is engulfing in nature ( yellow for bearing environment and white for bullish )
3) Then I create an order block.
4) Sometimes if imbalance after an order block is tooo big, the re test only fills the imbalance rather than reaching the IC . Imbalances are shown with grey boxes, the ones filled are automatically removed.
For successful entries please ensure that the candles succeeding engulfing candles break a market structure (BOS, ChoCh).
Any suggestion are welcome.
Please change max moves to detect to 5 from 3
Caution not all order blocks made are perfect !! Further adjustments are required but are too complicated for me to code, have to find some way around and I am sure with update I will refine the options.
Basic things to look,
IC should be followed buy a pump or a dump ( with some candles being out of the trend (I have given some scope in the code)) plus it should have a high wick which clears liquidity.
Futures Exchange SessionsIn the 24-hour trading of the futures market, this indicator provides the user with full customization concerning the most important factor: time. This indicator is centered around three main visualizations: labels, backgrounds, and lines that minimalistically allows the user to keep track of the many time intervals that occur during a futures market 24-hour trading cycle. It also artfully displays the previous days highs and lows. And everything can be individually toggled and configured so the user can get exactly what they want.
Labels
There are three main futures market sessions in a 24-hour period: the London, New York, and Asian Sessions. Each session is given an independent label for the open and close times. The six labels (LO, LC, NYO, NYC, AO, AC) can be individually toggled on or off, the label background color changed, the text switched between black or white, and the height can be lowered or raised. These customizations are intended to give the user full control of the session they are interested in at the moment.
Backgrounds
Backgrounds are the heart of this indicator. There are different colored transparent backgrounds for each of the futures sessions. So the user can clearly see the session they want to highlight without cluttering their chart and getting in the way of analyzing the candles.
If you are familiar with the London and New York killzones, these backgrounds are each individually configured.
If you are familiar with the Inner Circle Trader’s (ICT) NY Morning and Afternoon sessions, these are available. Also, most times weird price action occurs during the lunch hour of these sessions. The London and New York have a background for their respective lunch hours so the user is never caught of guard during these periods.
Lines
The markets are constantly looking for liquidity. To help the user see runs on liquidity, this indicator projects the previous days highs and lows on to the current day with a line and a price label. The line make it very easy to see where price may be headed. See the image below for the perfect example of this phenomenon. Each of the lines can be independently controlled by color, style, and width. And even the labels can be toggled on or off if the user would prefer just to see the lines. Lastly, there is a line that marks the midnight open price in EST.
Special Notes
This indicator is specifically designed for futures tickers.
All of the backgrounds are not designed to be turned on a once (there are many that overlap). They are designed to give the user ultimate control over exactly what timeframe backgrounds to display on their charts.
The labels only appear when timeframe is 1 hour or less.
USDT/USD PremiumKraken + FTX USDT premium indicator.
Inspired by John J Brown, forked from IAmSatoshi (Migrated to V5 and few changes + more markets coming).
John J Brown: "
USDt premium/discount exist because of conversion fees.
It is a good market indicator:
If USDt>USD, then market is growing and in need of liquidity;
If USDt
40+ Coin Screener (workaround to 40 Security Limit Per Script) This is a far inferior method for a screener/scanner (compared to my first publication) but after looking at that script from a noobs eyes again, I could see how this form would be a lot easier to take in/understand so wanted to publish it. Everything that I could think of to mention about this is in my 1st pub so ill leave it to you to check it out...though I did include some comments in the script. It is pretty straight forward but if you have any questions don't hold them in. I'll answer them if I can. The only thing that is not in this one is setting up the alert feature so that you only have to create 1 alert per iteration of the script and it takes care of all of the coins for that iteration/set that is chosen in the settings (so please see previous script if would like to do this for your screener/scanner).
To be PERFECTLY CLEAR, the workaround is to the issue of not being able to scan but only 40 coins per script. You can scan more than 40 per script but only if you create "batches" or "sets" that the user can select within the settings which set to use for each iteration of the script on the chart. That being, you have to the script multiple times to the chart and merge them into 1 window and merge the scales (instructions in first publications). Here in this script I am scanning 72 different coins that are the Margin Coins on KUCOIN. I have split them up into 3 sets (24 coins per set). I could have made 2 sets but the script will be slower to load and to respond (like, when it comes to receiving alerts), thus I split them up the way I did. If you want to change any of this there are slightly more details in the previous script.
One great use-case that I LOVE about this particular version (and the way I use it) is right at the end of when I see a whole market dump/pump coming to an end and want to know which horse to bet on. Used to think whichever coin come out the fastest from the dump was the one to bet on but quickly learned that 1-2 (or even a few) hrs needs to go by first bc the ones that look the strongest in the beginning are NOT the ones to have performed the best when viewing the results 12 hrs later. IN FACT, many instances of using this exact script for reasons as such has taught me that the manipulators (I believe this to be the case as least) WANT everyone to bet on these that come out the gate the hardest and thus they make them move REALLY hard in the beginning then they QUICKLY become stagnant (moreso, they become WORSE than stagnant, they actually quickly retrace to put you into the negative so that you get out to get into the others now moving (to provide the market with more liquidity. They WANT you to get into a coin thats moving crazy hard so that they can then cease that movement once many fall for the trick just to then make that once strong looking coin now stagnant and make others move crazy hard. They wait for you to get out of the 1st and into the next set of movers just to do this time and time again bc hey, what are we sheep good for other than to provide the big guns with liquidity, am I right? Thats rhetorical, which you would know if you've ever had this happen to you (without a doubt MANY of you have). Let this script (above all other things) provide good evidence to back up this cynical way of viewing the markets to anyone that is questioning it.
This prolonged time between when the dump is over and when the ACTUAL movers REALLY start moving can actually be of great benefit to us sheep if used correctly, Firstly, it gives us some time to determine if when we thought was the bottom, ACTUALLY was the bottom. That bottom is easily determined if there are no (or very few) coins that went any lower than the point in time that the script began calculating on. Secondly, it allows us time to wait for the REAL movers and shakers to start moving and shaking.
One new feature that I LOVE that TV has implemented is the ability (once the script is added to the chart) to be able to click a point in time on the chart where you want the script to begin its calculations. If this point needs to be changed at any point in time then you can either go into the setting and input the time you wish or simply remove the script and add it again so that you are prompted to select another point in time. Ok, I think that everything I wanted to say. The next version that I will add will be probably my favorite and most used by yours truly...not to mention unique in a way that I have yet to see an implementation anything like it in all of TV's public library. Not to say its not there, but I have yet to come across it and I have DEFINITELY done my fair share of searching for it when I couldn't figure out how to code it for the longest time (though, I was and still am a noob so might get some great feedback on better ways to approach it, but we'll save that jabbering for the next of the publications.
I hope each and every one of ya'll (yes, Im from the South) have the GREATEST of Thanksgivings (if in the US that is...I graced my parents with the best gift anyone could have given them 35 years ago on Thanksgiving....MEEEE ;) So I will sure as hell be having a great holiday. Thanks for checking out my script...you can "like" and leave a comment if you so feel the urge to...or not. Im not doing this for me, but rather to stretch my arms out as far as possible to benefit the most people as possible and more people would see the script if it has more likes/comments/traffic pointing towards it...not to mention as other publishers have...it IS gratifying to see a few likes in my side window, which btw, I have MANY more variations and completely diff types of scanners/screeners Ill be publishing in the future and to know that they've become of use....I"VE become of use to the community is very....pleasing to me and does (as I've also seen many publishers mention as well) drive me to want to publish ones that I originally thought I would keep for myself. Peace out people.
vDragon Flow Trend I will share one of the tools that I use daily with you. Based on PVSRA (a methodology developed by Trade at Home using, price action, volume wyckoff, support / resistance, trends all in one method), it is composed of exponential averages, which I think is plausible, however, it would not be more easy if the main moving average was not made with its own volume?
Having this idea, I created this indicator, but let’s its functions and WHY you don’t waste time and use this indicator once and for all. Firstly, we know that a moving average is used to identify long-term trends, but because it is a price indicator, it takes into account PRICE, that is, being a late indicator, that is, who looks at prices, looks back and not forward, so I decided to use moving averages weighted by volume, to then make this delay in the moving average decrease considerably.
What are the benefits of using vDragon Trend instead of a normal and convenient average.
* The benefit of this indicator is to track the flow of a long-term trend, being similar to the session's VWAP, for example, but as VWAP has a limitation of only being able to show the average price of Market Makers only on the intraday, vDragon can do this, even showing the average price of these players in the long run.
* It is a fast and accurate moving average, depending on the flow entering the market, its curve will be greater than an average that reflects the price.
* The band, can increase or decrease depending on the volatility and the volume that happens.
* It takes from the Maximum to the Minimum for a certain period, just so you don't fall into springs.
* Most moving averages are not efficient on fast graphs like ticks or 1-minute graphs, but vDragon manages to adapt the graphical time, thanks to the volume, which is where we located the performance of Smart Money, remembering, I tested the vDragon within a 15-second chart on the FDAX inside the EUREX bag, and it serves a lot.
* Perhaps the best support or resistance you will find, I can give you an example, if it happens that the price rises with remarkable volume on top of vDragon, it can possibly be characterized as an absorption, sometimes too;
* can be used to identify zones of HFTs or algorithms that work with average prices in liquidity regions, since volume is also liquidity.
* can be used to identify linked accumulations in the accumulation or distribution.
There are several things for you to use vDragon as a strategy, use in a way that fits your strategy or operational.
Remembering, this indicator is my authorship
© Victor Eduardo Meireles
available to tradingview for free, be wary of anyone trying to sell you this indicator.
TurnOver Rate 换手率What does the turnover rate mean?
1. The higher the stock’s turnover rate, the more active the stock’s trading and the higher people’s willingness to buy the stock, which is a popular stock; conversely, the lower the stock’s turnover rate, it means the stock few people pay attention to it, which is an unpopular stock.
2. A high turnover rate generally means that the stock has good liquidity, and it is easier to enter and exit the market. There will be no phenomenon of wanting to buy or want to sell, and it has strong liquidity. However, it is worth noting that stocks with a high turnover rate are often the target of short-term funds chasing. They are highly speculative, their stock prices fluctuate, and risks are relatively high.
3. The high turnover rate at the beginning of the IPO is a natural thing. The myth of undefeated IPOs was once staged. However, with the changes in the market, it has become a reality for new shares to go high and low after the listing. Obviously, there is no conclusion that a high turnover rate will definitely rise, but a high turnover rate is also an important factor supporting the rise in stock prices.
4. The high turnover rate of stocks with high volume at the bottom indicates that the signs of new capital intervention are more obvious. The future upside is relatively large. The more the bottom changes hands, the less the upward selling pressure. In addition, strong stocks represent the hot spots of the market, so it is necessary to focus on them.
5. Combining the turnover rate with the stock price trend can make certain predictions and judgments about the future stock price. The sudden increase in the turnover rate of a certain stock and the increase in trading volume may mean that investors are buying in large quantities, and the stock price may rise accordingly. If a stock has continued to rise for a period of time, and the turnover rate rises rapidly, it may mean that some profitees want to cash out, and the stock price may fall.
6. The relatively high trading volume suddenly increases, and the willingness of the main force to distribute is obvious. However, it is not easy to release the volume at the high position. Generally, the trading volume will be released when some good news is released, and the main force can complete successfully. Distribution, there are many such examples.
The first thing to do when digging for leading stocks is to dig out popular stocks. One of the effective indicators for judging whether they belong to a popular stock is the turnover rate. The turnover rate is high and shares tend to be active. Therefore, when choosing stocks, investors can put the stocks whose turnover rate is continuously multiplied every day into their own choice or notebook, and then select the best varieties based on some fundamentals and other technical aspects.
Smarter Money Concepts - Wyckoff Springs & Upthrusts [PhenLabs]📊Smarter Money Concepts - Wyckoff Springs & Upthrusts
Version: PineScript™v6
📌Description
Discover institutional manipulation in real-time with this advanced Wyckoff indicator that detects Springs (accumulation phases) and Upthrusts (distribution phases). It identifies when price tests support or resistance on high volume, followed by a strong recovery, signaling potential reversals where smart money accumulates or distributes positions. This tool solves the common problem of missing these subtle phase transitions, helping traders anticipate trend changes and avoid traps in volatile markets.
By combining volume spike detection, ATR-normalized recovery strength, and a sigmoid probability model, it filters out weak signals and highlights only high-confidence setups. Whether you’re swing trading or day trading, this indicator provides clear visual cues to align with institutional flows, improving entry timing and risk management.
🚀Points of Innovation
Sigmoid-based probability threshold for signal filtering, ensuring only statistically significant Wyckoff patterns trigger alerts
ATR-normalized recovery measurement that adapts to market volatility, unlike static recovery checks in traditional indicators
Customizable volume spike multiplier to distinguish institutional volume from retail noise
Integrated dashboard legend with position and size options for personalized chart visualization
Hidden probability plots for advanced users to analyze underlying math without chart clutter
🔧Core Components
Support/Resistance Calculator: Scans a user-defined lookback period to establish dynamic levels for Spring and Upthrust detection
Volume Spike Detector: Compares current volume to a 10-period SMA, multiplied by a configurable factor to identify significant surges
Recovery Strength Analyzer: Uses ATR to measure price recovery after breaks, normalizing for different market conditions
Probability Model: Applies sigmoid function to combine volume and recovery data, generating a confidence score for each potential signal
🔥Key Features
Spring Detection: Spots accumulation when price dips below support but recovers strongly, helping traders enter longs at potential bottoms
Upthrust Detection: Identifies distribution when price spikes above resistance but falls back, alerting to possible short opportunities at tops
Customizable Inputs: Adjust lookback, volume multiplier, ATR period, and probability threshold to match your trading style and market
Visual Signals: Clear + (green) and - (red) labels on charts for instant recognition of accumulation and distribution phases
Alert System: Triggers notifications for signals and probability thresholds, keeping you informed without constant monitoring
🎨Visualization
Spring Signal: Green upward label (+) below the bar, indicating strong recovery after support break for accumulation
Upthrust Signal: Red downward label (-) above the bar, showing failed breakout above resistance for distribution
Dashboard Legend: Customizable table explaining signals, positioned anywhere on the chart for quick reference
📖Usage Guidelines
Core Settings
Support/Resistance Lookback
Default: 20
Range: 5-50
Description: Sets bars back for S/R levels; lower for recent sensitivity, higher for stable long-term zones – ideal for spotting Wyckoff phases
Volume Spike Multiplier
Default: 1.5
Range: 1.0-3.0
Description: Multiplies 10-period volume SMA; higher values filter to significant spikes, confirming institutional involvement in patterns
ATR for Recovery Measurement
Default: 5
Range: 2-20
Description: ATR period for recovery strength; shorter for volatile markets, longer for smoother analysis of post-break recoveries
Phase Transition Probability Threshold
Default: 0.9
Range: 0.5-0.99
Description: Minimum sigmoid probability for signals; higher for strict filtering, ensuring only high-confidence Wyckoff setups
Display Settings
Dashboard Position
Default: Top Right
Range: Various positions
Description: Places legend table on chart; choose based on layout to avoid overlapping price action
Dashboard Text Size
Default: Normal
Range: Auto to Huge
Description: Adjusts legend text; larger for visibility, smaller for minimal space use
✅Best Use Cases
Swing Trading: Identify Springs for long entries in downtrends turning to accumulation
Day Trading: Catch Upthrusts for short scalps during intraday distribution at resistance
Trend Reversal Confirmation: Use in conjunction with other indicators to validate phase shifts in ranging markets
Volatility Plays: Spot signals in high-volume environments like news events for quick reversals
⚠️Limitations
May produce false signals in low-volume or sideways markets where volume spikes are unreliable
Depends on historical data, so performance varies in unprecedented market conditions or gaps
Probability model is statistical, not predictive, and cannot account for external factors like news
💡What Makes This Unique
Probability-Driven Filtering: Sigmoid model combines multiple factors for superior signal quality over basic Wyckoff detectors
Adaptive Recovery: ATR normalization ensures reliability across assets and timeframes, unlike fixed-threshold tools
User-Centric Design: Tooltips, customizable dashboard, and alerts make it accessible yet powerful for all trader levels
🔬How It Works
Calculate S/R Levels:
Uses the highest high and the lowest low over the lookback period to set dynamic zones
Establishes baseline for detecting breaks in Wyckoff patterns
Detect Breaks and Recovery:
Checks for price breaking support/resistance, then recovering on volume
Measures recovery strength via ATR for volatility adjustment
Apply Probability Model:
Combines volume spike and recovery into a sigmoid function for confidence score
Triggers signal only if above threshold, plotting visuals and alerts
💡Note:
For optimal results, combine with price action analysis and test settings on historical charts. Remember, Wyckoff patterns are most effective in trending markets – use lower probability thresholds for practice, then increase for live trading to focus on high-quality setups.
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
AlgoCados x ICT ToolkitAlgoCados x ICT Toolkit is a TradingView tool designed to integrate ICT (Inner Circle Trader) Smart Money Concepts (SMC) into a structured trading framework.
It provides traders with institutional liquidity insights, precise price level tracking, and session-based analysis, making it an essential tool for intraday, swing, and position trading.
Optimized for Forex, Futures, and Crypto, this toolkit offers multi-timeframe liquidity tracking, killzone mapping, RTH analysis, standard deviation projections, and dynamic price level updates, ensuring traders stay aligned with institutional market behavior.
# Key Features
Multi-Timeframe Institutional Price Levels
The indicator provides a structured approach to analyzing liquidity and market structure across different time horizons, helping traders understand institutional order flow.
- Previous Day High/Low (PDH/PDL) – Tracks the Previous Day’s High/Low, crucial for intraday liquidity analysis.
- Previous Week High/Low (PWH/PWL) – Monitors the Previous Week’s High/Low, aiding in higher timeframe liquidity zone tracking.
- Previous Month High/Low (PMH/PML) – Highlights the Previous Month’s High/Low, critical for swing trading and long-term bias confirmation.
- True Day Open (TDO) – Marks the NY Midnight Opening Price, providing a reference point for intraday bias and liquidity movements.
- Automatic Level Cleanup – When enabled. pxHigh/pxLow levels gets automatically deleted when raided, keeping the chart clean and focused on valid liquidity zones.
- Monthly, Weekly, Daily Open Levels – Identifies HTF price action context, allowing traders to track institutional order flow and potential liquidity draws.
# Regular Trading Hours (RTH) High, Low & Mid-Equilibrium (EQ)
For futures traders, the toolkit accurately identifies RTH liquidity zones to align with institutional trading behavior.
- RTH High/Low (RTH H/L) – Defines the RTH Gap high and low dynamically, marking key liquidity levels.
- RTH Equilibrium (EQ) – Calculates the midpoint of the RTH range, acting as a mean reversion level where price often reacts.
# Killzones & Liquidity Mapping
The indicator provides a time-based liquidity structure that helps traders anticipate market movements during high-impact trading windows.
ICT Killzones (Visible on 30-minute timeframe or lower)
- Asia Killzone (Asia) – Tracks overnight liquidity accumulation.
- London Open Killzone (LOKZ) – Marks early European liquidity grabs.
- New York Killzone (NYKZ) – Captures US session volatility.
- New York PM Session (PMKZ) – Available only for futures markets, tracking late-day liquidity shifts.
Forex-Specific Killzones (Visible on 30-minute timeframe or lower)
- London Close Killzone (LCKZ) – Available only for Forex, marks the European end of Day liquidity Points of Interests (POI).
- Central Bank Dealers Range (CBDR) – Available only for Forex, providing a liquidity framework used by central banks.
- Flout (CBDR + Asian Range) – Available only for Forex, extending CBDR with Asian session liquidity behavior.
- Killzone History Option – When enabled, Killzones remain visible beyond the current day; otherwise, they reset daily.
- Customizable Killzone Boxes – Modify opacity, colors, and border styles for seamless integration into different trading styles.
CME_MINI:NQH2025 FOREXCOM:EURUSD
# Standard Deviation (STDV) Liquidity Projections
A statistical approach to forecasting price movements based on Standard Deviations of HOTD (High of the Day) and LOTD (Low of the Day).
- Asia, CBDR, and Flout STDV Calculations (Visible on 30-minute timeframe or lower) – Predicts liquidity grabs based on price expansion behavior.
- Customizable Display Modes – Choose between Compact (e.g., "+2.5") or Verbose (e.g., "Asia +2.5") labels.
- Real-Time STDV Updates – Projections dynamically adjust as new price data is formed, allowing traders to react to developing market conditions.
CME_MINI:NQH2025
# Daily Session Dividers
- Visualizes Trading Days (Visible on 1-hour timeframe or lower) – Helps segment the trading session for better structure analysis.
- Daily Divider History Option – When enabled, dividers remain visible beyond the current trading week; otherwise, they reset weekly.
# Customization & User Experience
- Flexible Label Options – Adjust label size, font type, and color for improved readability.
- Intraday-Optimized Data – Killzones (30m or lower), STDV (30m or lower), and Daily Dividers (1H or lower) ensure efficient use of chart space.
- Configurable Line Styles – Customize solid, dotted, or dashed styles for various levels, making charts aesthetically clean and data-rich.
# Usage & Configurations
The AlgoCados x ICT Toolkit is designed to seamlessly fit different trading methodologies.
Scalping & Intraday Trading
- Track PDH/PDL levels for liquidity sweeps and market reversals.
- Utilize Killzones & Session Open levels to identify high-probability entry zones.
- Analyze RTH High/Low & Mid-EQ for potential liquidity targets and reversals.
- Enable STDV projections for potential price expansion and reversals.
Swing & Position Trading
- Use PWH/PWL and PMH/PML levels to determine HTF liquidity shifts.
- Monitor RTH Gap, TDO, and session liquidity markers for trade confirmation.
- Combine HTF bias with LTF liquidity structures for optimized entries and exits.
# Inputs & Configuration Options
Customizable Parameters
- Offset Adjustment – Allows users to shift displayed data horizontally for better visibility.
- Killzone Box Styling – Customize colors, opacity, and border styles for session boxes.
- Session Dividers – Modify line styles and colors for better time segmentation.
- Killzone & Daily Divider History Toggle – Enables users to view past killzones and dividers instead of resetting them daily/weekly.
- Label Formatting – Toggle between Compact and Verbose display modes for streamlined analysis.
# Advanced Features
Real-Time Data Processing & Dynamic Object Management
- Auto Cleanup of pxLevels – Prevents clutter by removing invalidated levels upon liquidity raids.
- Session History Control – Users can toggle historical data for daily dividers and killzones to maintain a clean chart layout.
- Daily & Weekly Resets – Ensures accurate session tracking by resetting daily dividers at the start of each new trading week.
CME_MINI:NQH2025
# Example Use Cases
- Day Traders & Scalpers – Utilize Killzones, PDH/PDL, DO and TDO levels for precise liquidity-based trading opportunities.
- Swing Traders – Leverage HTF Open Levels, PWH/PWL liquidity mapping, and TDO for trend-based trade execution.
- Futures Traders – Optimize trading with RTH High/Low, Mid-EQ, and PMKZ for session liquidity tracking.
- Forex Traders – Use CBDR, Flout, and session liquidity mapping to align with institutional order flow.
CME_MINI:ESH2025
"By integrating institutional concepts, liquidity mapping, and smart money methodologies, the AlgoCados x ICT Toolkit empowers traders with a data-driven approach to market inefficiencies and liquidity pools."
# Disclaimer
This tool is designed to assist in trading decisions but should be used in conjunction with other analysis methods and proper risk management. Trading involves significant risk, and traders should ensure they understand market conditions before executing trades.
MTF Smart Money ConceptsOverview
This indicator displays major elements of Smart Money Concepts and price action trading with multi-timeframes(MTF) and layered market structures with color visualization.
What is Smart Money Concepts?
Smart Money Concepts(SMC) is one of the methodologies to interpret how financial market moves and to analyze it and execute trades, focusing on liquidity and order flow of financial institutions.
Smart money means the funds invested by large financial institutions such as banks, institutional traders/investors, market makers, hedge funds etc. contrary to retail traders/investors' money.
It is important to note that there is no proof or evidence that those institutions move the market as described in Smart Money Concepts.
Personally speaking, it is one of the interpretation of the market and another angle to view the market just like other technical analysis methodologies such as Elliott Wave Principle, Gann Theory, Wyckoff Method and even traditional price action trading.
Importance of MTF Analysis
MTF analysis(a.k.a Topdown analysis) is the foundation to technically analyze charts and the most fundamental skill in trading because lower timeframes are always influenced by upper timeframes where large financial institutions operate.
How to use
This indicator is designed to help traders analyze how the market moves in terms of SMC and price action with multi-timeframes and color visualization of the market structures, which makes this indicator unique and different from other indicators.
There is two key settings that you can use based on your trading style.
1.Upper timeframe selection
You have two options to determine upper timeframe; Auto mode and Manual mode.
When Auto mode selected, upper timeframe will be determined based on chart timeframe as follows.
Chart timeframe => Upper timeframe
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
If you select Manual mode, you can fix an upper timeframe.
2.High/low settings
This affects all other settings of the indicator and most importantly designs the market structure.
This is the key setting to determine how you view the market as price action trading is all about highs and lows and story of how highs and lows have been created with the market structure.
You can specify left bars and right bars to identify swing highs/lows and these highs/lows become the basis to design the market structure and determine how SMC elements are displayed.
Example:
Left bar&right bar: 10
You can see bigger wave(magenta line) in the market structure(stepped line).
(Magenta line is a drawn object by manual)
Left bar&right bar: 4
With this setting, you can see smaller wave in the market structure.
Since market moves like wave as there is a lot of wave theories in financial investment/trading industry such as Elliott wave, Wolf wave etc., users can define market structure with this setting depending on what degree of wave they aim to trade.
Functions:
MTF Order Block
Concept
Order block is a block of orders where buying orders and selling orders are accumulated. Order blocks are created when the institutions move the market up and down, temporality placing orders in an opposite direction to the way they want to move, in order to match their own orders with counter-orders.
Visualization by the indicator
The indicator displays both chart timeframe's order blocks and upper timeframe's order blocks(MTF).
You can also select from two options how to display order blocks;
1. Show all order blocks
2. Show strong order blocks only
Note: Strong order blocks mean order blocks created at strong highs/lows. See also strong high/low below.
Alerts can be set when prices reach strong order blocks.
MTF Fair Value Gap(FVG)/Imbalance
Concept
Fair Value Gap(FVG)(Imbalance) is a void generated among three consecutive candlesticks.
FVG(s) is created when the market moves so rapidly generating buy side or sell side order imbalances.
FVG(s) is characterized by price action that prices tend to come back to the area where FVG(s) exists, filling in the space among the candlesticks.
Visualization by the indicator
The indicator displays both chart timeframe's FVG and upper timeframe's FVG.
MTF Liquidity Grab
Concept
Liquidity grab is price action to sweep liquidity for the institutions to move the market.
This price action often happens because the size of their orders is so huge and they need a bunch of counter-orders to match their orders. This is why prices sometimes come to areas where liquidity rest and swipe them before the market goes up/down.
Liquidity visualization
Where does liquidity rest?
The answer is above highs(buy side liquidity) and below lows(sell side liquidity).
Among all highs and lows, swing highs and lows are where liquidity is accumulated the most because swing highs and lows can be created only by the institutions, therefore massive liquidity is indicated.
Visualization by the indicator
The indicator displays liquidity dots so that users can easily identify where liquidity rests and liquidity grab of both a chart timeframe and an upper timeframe.
Alerts can be set when liquidity grab happens.
MTF Strong High/Low
Concept
Strong high/low literally means strong highs and lows among all highs and lows including swing highs and lows.
There is a few different definitions of strong high/low in price action trading and the definition in this indicator is as follows.
Strong high
A high that that breaks higher low or lower low
Strong low
A low that breaks lower high or higher high
Visualization by the indicator
The indicator displays strong highs and lows of both a chart timeframe and an upper timeframe.
MTF Market Structure Visualization
Concept
Market structure is a series of price movement with highs and lows which outlines the way the market directs. It is a basis to see trend occurrence, trend reversal and sideways and analyzing the market structures in multi-timeframes is the most fundamental technical skill in trading/investment.
Visualization by the indicator
The indicator displays market structures of both a chart timeframe and an upper timeframe and provide color visualization depending on bullish and bearish market structures.
The definition of bullish and bearish market structure is as follows.
Bullish market structure
When a price breaks a Lower High or Higher High
Bearish market structure
When a price breaks a Higher Low or Lower Low
Settings
All the functions above, colors and line settings are parameterized and can be turned on/off depending on users’ needs.
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概要
Smart Money Concepts(SMC)およびプライスアクショントレードにおける重要な要素をマルチタイムフレームで表示することのできるインジケーターです。
相場構造(Market structure)をマルチタイムフレームで表示し、相場構造の強弱を色で可視化することができます。
Smart Money Concepts(スマートマネーコンセプト)とは？
Smart Money Concepts(以下SMC) は金融市場がどのように動くかを解釈し、分析し、取引を執行するための相場理論の一つであり、Liquidity(リクイディティ)および機関投資家のオーダーフロー(注文の流れ)に焦点を置いていることが特徴です。
Smart Money(スマートマネー)とは、銀行や機関投資家、マーケットメーカー、ヘッジファンドといった金融機関が動かす資金を意味し、個人投資家の資金と対をなす概念です。
重要な点は、実際に上記の金融機関がSmart Money Conceptsで語られているような相場の動かし方をしているかどうかを証明する明確なエビデンスはないということです。
個人的には、エリオット波動理論やギャン理論、ワイコフ理論、伝統的なプライスアクショントレーディングの方法論と同様に、マーケットの動きを解釈するための一つの方法論であり、マーケットの動きを別の角度から見る枠組みと捉えています。
マルチタイムフレーム(MTF)分析の重要性
MTF分析はチャートをテクニカルに分析する上での基礎であり、トレードにおいて最も重要なスキルです。なぜなら下位のタイムフレームは上記のような金融機関が資金運用を行う上位のタイムフレームの影響を常に受けるためです。
使い方
このインジケーターは、SMCまたはプライスアクショントレードの観点から、トレーダーがマーケットをマルチタイムフレームで分析することを支援するために開発しています。
相場構造(Market structure/マーケットストラクチャー)を方向性に応じて色で可視化することができるため、視覚的に相場の構造を判断できることがこのインジケータのユニークな点であり、他のインジケーターと異なる点です。
ユーザーのトレードスタイルに応じて、以下の二つの設定を行うことができます。
1.上位足の決定方法
ユーザーは上位足のタイムフレームを決定するにあたり、AutoモードとManualモードを選択することができます。
Autoモードを選択した場合、上位足はチャートのタイムフレームに応じて以下のように決定されます。
チャートタイムフレーム => 上位足タイムフレーム
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
Manualモードを選択すると上位足のタイムフレームを固定することができます。
2.High/low(高値/安値) 設定
当設定はインジケーターの他の全ての機能に影響し、また最も重要である相場構造の定義に影響します。
当設定はユーザーがマーケットをどのように見るか(=どの程度の粒度)を決定する重要な設定です。なぜならプライスアクショントレードは、高値、安値とそれらが相場構造をどのように構築してきたかの一連の流れを分析することが全てだからです。
ユーザーは相場構造を決定付けるスイングハイ·スイングローを特定するためのバーの本数を設定することができます。ここで設定した内容が、相場構造を定義し、以下で説明するSMCの要素の表示を決定することになります。
例:
Left bar&right bar(左右のバーの数): 10
この場合、ステップラインで示した相場構造の中に大きな波(マゼンタの波)を見ることができます。
(マゼンタのラインは手動で描いたオブジェクト)
Left bar&right bar: 4
この設定では、上記に比べて小さい波を描いていることが確認できます。
相場理論の中にエリオット波動理論やウォルフ波動といった数多くの波動理論があることからわかるように、相場は波として動きます。どの粒度の波を狙うかというトレーダーのスタイルに応じて、設定を変更することができます。
機能
MTFオーダーブロック
コンセプト
オーダーブロックとは買い注文と売り注文が一連となって蓄積されたオーダー(注文)のブロックのことです。
オーダーブロックは機関投資家が相場を動かす際に、本来意図する方向とは一時的に逆に動かすことで、彼ら自身の注文をマッチングさせるための反対注文を発生させることで形成されます。
インジケーターによる表示
インジケーターはチャートタイムフレームのオーダーブロックと上位足のオーダーブロックの両方を表示することができます。
また、オーダーブロックの表示オプションとして、
1.全てのオーダーブロックを表示
2.Strong(ストロング)オーダーブロックのみを表示
を選択することが可能です。
注: StrongオーダーブロックはStrong High/Lowで形成されるオーダーブロックを指します。(下記参照)
また、オーダーブロック到達でのアラート設定も可能です。
MTFフェアーバリューギャップ(FVG)/インバランス
コンセプト
フェアーバリューギャップ(FVG)/インバランスとは連続する3つのローソク足の間に形成される溝(Gap)のことです。
フェアーバリューギャップはマーケットが非常に早く動いたことにより、買いオーダーと売りオーダーの需給バランスが崩れることによって発生します。
フェアーバリューギャップには、価格がフェアーバリューギャップが発生したエリアまで戻ってくる傾向があるという特徴が存在します。
インジケーターによる表示
インジケーターはチャートタイムフレームのフェアーバリューギャップと上位足のフェアーバリューギャップの両方を表示することができます。
MTF Liquidity Grab(リクイディティ·グラブ)
コンセプト
Liquidity(リクイディティ)とはマネー、つまり注文です。
Liquidity Grab(リクイディティ·グラブ)とは、機関投資家がマーケットを動かす際にLiquidityを取得するプライスアクションのことを指します。
このプライスアクションは、機関投資家が処理する注文サイズが非常に大きいため、自身の注文を出す際に大量の反対注文を必要とすることからしばしば発生します。
これが、価格がLiquidity(注文)の集まっているエリアに接近し、それら注文をスワイプ(狩り取る)した後に上昇·下落する理由です。
Liquidityの可視化
一般的にLiquidityは高値の上(buy side liquidity)、安値の下(sell side liquidity)に存在します。
全ての高値·安値の中で、スイングハイ·ローがliquidityが最も蓄積されているエリアということができます。なぜならスイングハイ·ローは機関投資家の注文によってのみ形成されるからです。
インジケーターによる表示
ユーザーがLiquidityポイントを簡単に識別できるようにLiquidityをドット表示することが可能です。またチャートタイムフレームと上位足の両方のLiquidity Grabを表示することができます。
Liquidity Grab発生時にアラートも設定可能です。
MTF Strong High/Low(ストロングハイ·ロー)
コンセプト
Strong high/lowは文字通り、強い高値·安値のことを指します。
トレーダーの間でいくつかの異なる定義が存在しますが、当インジケーターでの定義は以下の通りです。
Strong high
Higher low(ハイアーロー) または Lower low(ロワーロー)をブレイクした高値
Strong low
Lower higher (ロワーハイ) または Higher High(ハイアーハイ)をブレイクした安値
インジケーターによる表示
チャートタイムフレーム、上位足のStrong High/Lowを表示することが可能です。
相場構造可視化
コンセプト
相場構造(Market structure/マーケットストラクチャー)とは、相場の流れを成り立たせる高値と安値を元にした一連の値動きです。建物における骨組みに該当します。
トレンドの発生、転換、レンジを見極めるための基礎であり、マルチタイムフレームで相場構造を分析することは、投資·トレードにおいて最も重要なテクニカルスキルです。
インジケーターによる表示
チャートタイムフレームと上位足タイムフレーム両方の相場構造を表示することができます。
また、相場構造が強気の状態か弱気の状態かを色で可視化するため、上位足含めた相場の流れを視覚的に判断することが可能です。
相場構造の強弱の定義は以下の通りです。
強気の相場構造(Bullish market structure)
価格がLower HighまたはHigher Highをブレイクしたとき
弱気の相場構造(Bearish market structure)
価格がHigher LowまたはLower Lowをブレイクしたとき
設定
上記の全ての機能は色やライン設定含めパラメーターで設定が可能です。またユーザの必要に応じて表示·非表示を切り替えることができます。
AriVestHub_SMCIntroduction to the AriVestHub_SMC Indicator
The AriVestHub_SMC indicator is designed and coded based on Smart Money Concepts (SMC). This tool has unique features that you won’t find in any other indicator built around SMC.
I’ve been active in the crypto market since 2019, and besides using the SMC strategy, I also apply several custom strategies in my trading. Personalized versions of these strategies will gradually be shared with you as well.
The main reason for developing this indicator was the gap in existing tools. Many times, setups like Valid Pullback or Inside Bar Candles appear on the chart but are not easily recognizable at first glance, and therefore they get ignored. This often leads to mistakes in Market Structure Mapping right from the beginning, which then causes errors in further analysis and predictions.
Since the SMC strategy is entirely built on market structure, any mistake in identifying its key components basically destroys the reliability of the analysis.
Unlike similar indicators that mostly just draw nice lines and zones on the chart for promotional purposes, AriVestHub_SMC aims to show the reality of the market, not beautify it. Price behavior is the result of trader psychology and the clash of different views—it doesn’t have to look neat and pretty all the time.
This indicator shows exactly what has happened in the market and the possible scenarios ahead. Once you use this tool and study this guide, you’ll clearly feel the difference compared to other common indicators. My main goal in creating AriVestHub_SMC was to give real help to traders—not just to sell or commercialize it.
The AriVestHub_SMC indicator is basically a Market Structure Mapping Engine (SMC Structure Mapping Engine), whose main task is to detect and accurately map market structure movements.
The market is full of exceptional conditions, and analyzing them without indicators and only by visual inspection is almost impossible. This often leads to errors, especially in strategies that are based on market structure.
One of the most important and valuable features of this indicator compared to similar ones is that, after extensively studying and manually analyzing various charts with indicators, I have coded almost all common scenarios as well as exceptional cases that occur under different market conditions.
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Its key features include:
• BOS / CHoCH – Detecting
• breakouts and changes in market character
• IDM / Pullback – Confirming pivots and valid moves
• OF / OB – Marking key supply and demand zones
• SMT (Smart Money Trap) – Spotting invalid zones and smart money traps
• Liquidity Sweeps / Equal High-Low – Liquidity hunts and reversal setups
• Transfer Option – Automatically correcting structure in Single Leg scenarios
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Basic Concepts in the AriVestHub_SMC Strategy
1. Inside Bar
An Inside Bar is a candle (or group of candles) whose price range falls between the High and Low of the previous candle.
In Smart Money and market structure analysis, these candles are usually ignored, and only the main candle is considered.
Simply put, an Inside Bar signals market pause and energy buildup—a place where both buyers and sellers are waiting for price to decide its next direction.
In the picture, you can see candles highlighted in a different color that fall within the main candle range. They should not be treated as independent candles, and all of them together should be considered as one.
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2. Pullback
A pullback happens when price makes a temporary return after a main move. Even a single candle can cause it.
In Smart Money, a valid pullback is defined as:
• In an uptrend: if the Low of a candle breaks the Low of the previous candle which is not an Inside Bar, a valid pullback occurs.
• In a downtrend: if the High of a candle breaks the High of the previous candle which is not an Inside Bar, a valid pullback occurs.
Valid pullbacks are the points where the market gathers the energy needed to continue its move.
In the image below, both valid and invalid pullbacks are shown.
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3. IDM – Inducement
Inducement is one of the most important concepts in AriVestHub_SMC. Without IDM, no structure in Smart Money can form.
Every valid pullback can be considered an IDM.
There are two types: Major IDM and Minor IDM.
Correctly identifying IDM is critical, because the entire market structure is mapped based on it.
After each BOS or CHoCH, a new HH or LL pivot is only confirmed if the price returns and touches the IDM.
• In an uptrend after BOS: the lowest price of the first valid pullback is the Major IDM, and the last pullback before reaching the Major IDM is the Minor IDM.
• In an uptrend after CHoCH: the highest price of the first valid pullback is the Major IDM, and the last pullback before reaching the Major IDM is the Minor IDM.
The same rules apply in reverse for downtrends.
In this strategy, Major IDM always takes priority.
The image shows different types of IDM, and the same applies for downtrends.
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4. BOS – Break of Structure
A Break of Structure happens when price breaks its previous High or Low in the direction of the trend:
• In an uptrend: if the previous HH is broken, BOS occurs.
• In a downtrend: if the previous LL is broken, BOS occurs.
BOS confirms continuation of the current market trend.
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5. CHoCH – Change of Character
Change of Character occurs when price moves against the previous trend:
• In an uptrend: if the previous LL is broken, CHoCH occurs.
• In a downtrend: if the previous HH is broken, CHoCH occurs.
CHoCH is usually a signal of a trend reversal or a deep market correction.
The image shows the overall market structure with BOS and CHoCH.
________________________________________
6. Order Flow
Order Flow zones are formed from valid pullbacks and are usually points where price reacts strongly.
They are defined as:
• In an uptrend: Last Selling Momentum Before pushing upside
• In a downtrend: Last Buying Momentum Before pushing dowside
Three main types of Order Flow used in this strategy:
• OF: Decisional (Dec) – The first valid OF after IDM, where the market makes its key decision.
• OF: Extreme (Ext) – The last valid OF after IDM, acting as the final defense of buyers or sellers.
• SMT – Smart Money Trap – All order zones before IDM, and those between Dec and Ext. These usually cause short-term, deceptive reactions and are not valid for trading.
In addition:
• Unmitigated Order Flow – A zone not yet touched, still a liquidity source.
• Mitigated Order Flow – A zone that has been touched, with reduced validity.
• Redefine Order Flow – Identifying internal OFs within a main unmitigated OF for more precise entries.
The image shows the different types of OF.
________________________________________
7. H/L Liquidity Sweep
A Liquidity Sweep happens when price breaks a previous High or Low with a wick, but the candle body fails to close beyond it.
• If the High is broken with a wick but the candle closes below it, a Liquidity Sweep occurs.
• If the Low is broken with a wick but the candle closes above it, a Liquidity Sweep occurs.
These setups are often signs of trapping traders and starting a move in the opposite direction. In fact, Liquidity Sweep points are among the best trading setups.
________________________________________
🔑 Final Note
All these concepts are like puzzle pieces: Inside Bar, Valid Pullback, IDM, BOS, CHoCH, Order Flow, and Liquidity Sweep.
When combined, they create a clear and accurate picture of the market’s real behavior.
________________________________________
Indicator Settings
1. Analyze From … To …
• Set the analysis time range.
• Another use: In ping-pong structures, you can add another copy of the indicator to the chart, set the starting point at the recent HH or LL, and map the internal structure for counter-trend trading.
________________________________________
2. Main
• Confirm CHoCH with wicks → If enabled, only the wick (not the body) is considered for BOS and CHoCH confirmation. Useful for spotting subtle liquidity-based breaks.
• Major / Minor IDM → Choose IDM type.
• Consider Inside Bar → Best kept enabled, so candles inside the previous candle are ignored.
________________________________________
3. Fib Ret
• Min pullback retracement % → Set the minimum retracement level.
• Helps identify valid pullbacks and gives more confidence in trend continuation.
• Meaning: if BOS happens, price must at least retrace by the minimum percentage before expecting the trend to continue.
________________________________________
4. BOS/CHoCH
• Display BOS and CHoCH on the chart with customizable color and style.
________________________________________
5. IDM
• Mark previous IDM : Show past IDMs.
• Mark live IDM : Show current active IDM.
• Customize IDM display options.
________________________________________
6. Pivots
• Display HH and LL pivots.
________________________________________
7. Transferring H/L IDM BOS/CHoCH
• Transfer in case of lack idmB or idmS → When the move is Single Leg and no valid IDM exists in the recent move, HH, LL, and IDM must be shifted and corrected. This adjusts the market structure.
• In case of transferring, remove all previous transferred Market Structure → If enabled, every time HH/LL and IDM need to be shifted, the transfer happens and the market structure is re-analyzed from scratch.
• Important: Often after one transfer, another Single Leg appears. This option keeps adjusting structure automatically, while doing it manually would be slow and error-prone.
________________________________________
8. Order Flow
• Display Decisional, Extreme, and Supply/Demand OFs.
________________________________________
9. H/L Sweeps
• Detect Liquidity Sweeps at Highs and Lows.
• These are very strong reversal setups.
________________________________________
10. Equal High/Low
• Show equal Highs and Lows where liquidity often accumulates.
________________________________________
11. Moving Average
• Add a moving average as a trend filter.
• Option to choose type (SMA/EMA) and length (e.g., 50 or 200).
• Usually:
o MA50 → For mid-term trends, quick confirmation.
o MA200 → For long-term trends, stronger confirmation.
________________________________________
12. Internal Structure (ZigZag)
• Show internal market structure as ZigZag.
________________________________________
13. Inside Bar Candles
• Display Inside Bars in color or with a box.
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial
Table of Contents
Installation
Understanding the Indicator
Signal Interpretation
Settings Configuration
Trading Strategies
Best Practices
Common Mistakes to Avoid
1. Installation {#installation}
Step-by-Step Setup:
Step 1: Access TradingView
Go to TradingView.com
Log in to your account (free account works fine)
Step 2: Open Pine Editor
Click on "Pine Editor" at the bottom of the chart
If you don't see it, go to the top menu and select "Pine Editor"
Step 3: Add the Script
Click "New" to create a new indicator
Delete any default code
Copy the entire Institutional Activity Detector code
Paste it into the editor
Step 4: Save and Apply
Click "Save" (give it a name like "Inst Detector")
Click "Add to Chart"
The indicator will now appear on your chart
2. Understanding the Indicator {#understanding}
What It Detects:
This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing:
Volume Analysis
Detects unusual volume spikes that indicate large players entering
Compares current volume to 20-period average
Institutional trades create volume 2-5x normal levels
Order Flow
Delta: Difference between buying and selling volume
Positive delta = More buying pressure
Negative delta = More selling pressure
Institutions leave "footprints" in order flow
Price Action Patterns
Bullish Rejection Wicks:
| <- Small upper wick
|
███ <- Small body
███
|
|
| <- Large lower wick (rejection)
Indicates institutions bought aggressively at lower prices
Bearish Rejection Wicks:
|
|
| <- Large upper wick (rejection)
|
███ <- Small body
███
| <- Small lower wick
Indicates institutions sold aggressively at higher prices
Liquidity Grabs
Institutions often:
Push price above resistance or below support
Trigger stop losses (grab liquidity)
Reverse direction and trade the other way
Dark Pool Activity
Large block trades executed off-exchange:
High volume with minimal price movement
Indicates institutional accumulation/distribution without moving price
3. Signal Interpretation {#signals}
Signal Types:
🟢 INSTITUTIONAL BUY Signal
Appears as green triangle below candle with strength number (2-5)
What it means:
Institutions are actively accumulating (buying)
Higher strength = More confirmation factors
Strength Levels:
2-3: Moderate confidence - Wait for confirmation
4: High confidence - Strong institutional interest
5: Maximum confidence - Multiple factors aligned
🔴 INSTITUTIONAL SELL Signal
Appears as red triangle above candle with strength number (2-5)
What it means:
Institutions are actively distributing (selling)
Higher strength = More confirmation factors
🟠 Dark Pool (DP) Marker
Small orange diamond
What it means:
Large block trade executed
Accumulation/distribution happening quietly
Often precedes significant moves
Liquidity Zones
Red boxes above price = Resistance/sell liquidity
Green boxes below price = Support/buy liquidity
Institutions target these zones to trigger stops
4. Settings Configuration {#settings}
Recommended Settings by Asset Type:
For Stocks (SPY, AAPL, TSLA):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 1H
For Forex (EUR/USD, GBP/USD):
Volume Spike Multiplier: 1.5
Volume Average Period: 30
Delta Threshold: 65%
Minimum Signal Strength: 3
Timeframe: 15m, 1H, 4H
For Crypto (BTC, ETH):
Volume Spike Multiplier: 2.5
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 4
Timeframe: 15m, 1H, 4H
For Futures (ES, NQ):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 75%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 30m
Parameter Explanations:
Volume Spike Multiplier (1.0 - 10.0)
Lower = More sensitive (more signals, some false)
Higher = Less sensitive (fewer signals, more reliable)
Start with 2.0 and adjust based on your asset's volatility
Delta Threshold % (50 - 100)
Measures buying vs selling pressure
70% = Strong institutional bias required
Lower for ranging markets, higher for trending
Minimum Signal Strength (2 - 5)
Number of factors that must align for a signal
2 = Very sensitive (many signals)
5 = Very conservative (rare signals)
Recommended: 3-4 for balance
5. Trading Strategies {#strategies}
Strategy 1: Liquidity Grab Reversal
Setup:
Price approaches a liquidity zone (green/red box)
Price penetrates the zone briefly
Institutional BUY/SELL signal appears
Price reverses away from the zone
Entry:
Enter on the signal candle close
Or wait for next candle confirmation
Stop Loss:
Below the liquidity grab low (for buys)
Above the liquidity grab high (for sells)
Take Profit:
2:1 or 3:1 risk/reward ratio
Or next opposing liquidity zone
Example:
Price drops below support → Triggers stops →
Institutional BUY signal (4-5 strength) →
Enter LONG → Price rallies
Strategy 2: Trend Continuation
Setup:
Identify the trend (higher highs/higher lows for uptrend)
Wait for pullback to support in uptrend
Institutional BUY signal appears during pullback
Confirms institutions are adding to positions
Entry:
Enter on signal with strength ≥ 4
Or next candle after signal
Stop Loss:
Below the pullback low + small buffer
Take Profit:
Previous swing high
Or trailing stop using ATR
Strategy 3: Dark Pool Accumulation
Setup:
Dark Pool (DP) markers appear multiple times
Price consolidates in tight range
Institutional BUY signal with high strength appears
Breakout occurs
Entry:
Enter on breakout candle after signal
Or on retest of breakout level
Stop Loss:
Below consolidation range
Take Profit:
Measured move (height of consolidation projected)
Strategy 4: Divergence Play
Setup:
Price makes lower low
MFI/RSI makes higher low (bullish divergence)
Institutional BUY signal appears
Volume confirms with spike
Entry:
Enter on signal candle or next
Stop Loss:
Below the divergence low
Take Profit:
Previous swing high or resistance
6. Best Practices {#best-practices}
✅ DO's:
1. Use Multiple Timeframes
Check higher timeframe for trend direction
Trade signals that align with higher timeframe
Example: 15m signals in direction of 1H trend
2. Combine with Key Levels
Support/resistance
Supply/demand zones
Previous day high/low
Round numbers (psychological levels)
3. Wait for Confirmation
Don't rush into trades
Let the signal candle close
Watch next candle for follow-through
4. Check the Metrics Table
Look at Relative Volume (should be >2.0)
Check Delta % (should be strong positive/negative)
Verify Order Flow aligns with signal
5. Consider Market Context
News events can override signals
Low liquidity times (lunch, overnight) less reliable
Major economic releases need caution
6. Paper Trade First
Test the indicator for 2-4 weeks
Learn how it behaves on your chosen assets
Develop confidence before using real money
Best Times to Trade:
Stock Market Hours:
9:30-11:30 AM EST (high volume, strong moves)
2:00-4:00 PM EST (institutional positioning)
Avoid: 11:30 AM-2:00 PM (lunch, low volume)
Forex:
London Open: 3:00-6:00 AM EST
New York Open: 8:00-11:00 AM EST
London/NY Overlap: 8:00 AM-12:00 PM EST
Crypto:
24/7 market, but highest volume during US/European hours
Watch for weekend low liquidity
7. Common Mistakes to Avoid {#mistakes}
❌ DON'T:
1. Trade Every Signal
Not all signals are equal
Focus on strength 4-5 signals
Wait for optimal setups
2. Ignore Market Structure
Don't buy into strong downtrends (catch falling knife)
Don't sell into strong uptrends (fight the tape)
Respect major support/resistance
3. Use Too Small Timeframes
1m and 2m charts are too noisy
Minimum recommended: 5m for scalping
Better: 15m, 30m, 1H for reliability
4. Overtrade
Quality over quantity
2-5 good trades per day is excellent
Forcing trades leads to losses
5. Ignore Risk Management
Always use stop losses
Risk only 1-2% per trade
Don't revenge trade after losses
6. Trade During Low Volume
Signals less reliable with low volume
Check Relative Volume metric (should be >1.5)
Avoid pre-market/after-hours for stocks
7. Misread Liquidity Grabs
Not every wick is a liquidity grab
Need volume confirmation
Must have institutional signal
Advanced Tips:
Filtering False Signals:
Use Signal Strength Filter:
Minimum strength 3 = Balanced
Minimum strength 4 = Conservative (recommended)
Minimum strength 5 = Ultra conservative
Confluence Checklist:
Signal strength ≥ 4
Relative volume > 2.0
At key support/resistance
Aligns with higher timeframe trend
Delta % strongly positive/negative
Clean price action setup
If 4+ boxes checked = High probability trade
Setting Up Alerts:
Click the three dots on the indicator
Select "Create Alert"
Choose condition:
"Institutional Buy Signal"
"Institutional Sell Signal"
"Dark Pool Activity"
Set up notification (email, SMS, app)
Save alert
Alert Strategy:
Set minimum strength to 4 for fewer, better alerts
Use for assets you can't watch constantly
Don't rely solely on alerts - check chart context
Practice Exercise:
Week 1-2: Observation
Add indicator to your favorite assets
Watch how signals develop
Note which ones lead to profitable moves
Don't trade yet - just observe
Week 3-4: Paper Trading
Use TradingView's paper trading
Trade only strength 4-5 signals
Record results in a journal
Note: entry, exit, profit/loss, what worked/didn't
Week 5+: Small Live Positions
Start with smallest position size
Trade only your best setups
Gradually increase size as you gain confidence
Keep detailed journal
Quick Reference Card:
Signal Quality Ranking:
🔥 Best Setups (Take These):
Strength 5 + Liquidity grab + Key level
Strength 4-5 + Volume >3.0 + Trend alignment
Dark Pool markers + Strength 4+ signal
✅ Good Setups:
Strength 4 at support/resistance
Strength 3-4 with strong delta
Liquidity grab + Strength 3+
⚠️ Caution (Wait for More):
Strength 2-3 in middle of nowhere
Against higher timeframe trend
Low volume (Rel Vol <1.5)
❌ Avoid:
Strength 2 only
During major news
Low liquidity hours
Against strong trend
Troubleshooting:
"Too many signals"
→ Increase Minimum Signal Strength to 4
→ Increase Volume Spike Multiplier to 2.5-3.0
"Too few signals"
→ Decrease Minimum Signal Strength to 2-3
→ Decrease Volume Spike Multiplier to 1.5
"Signals not working"
→ Check if you're trading during low volume hours
→ Verify you're using recommended timeframes
→ Make sure signals align with market structure
"Can't see liquidity zones"
→ Enable "Show Liquidity Zones" in settings
→ Adjust Swing Detection Length (try 7-15)
Resources for Further Learning:
Concepts to Study:
Order Flow Trading
Market Profile / Volume Profile
Smart Money Concepts (SMC)
Liquidity Sweeps and Stop Hunts
Institutional Order Flow
Wyckoff Method
Volume Spread Analysis (VSA)
Recommended Practice:
Study past signals on chart
Replay market using TradingView's bar replay feature
Join trading communities to share setups
Keep a detailed trading journal
Final Thoughts:
This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires:
Proper risk management
Market context understanding
Patience and discipline
Continuous learning
Success Formula:
Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits
Start slow, master the basics, and gradually increase complexity as you gain experience.
Good luck and trade smart! 📊📈
ORB + Lq-💰-Enhanced-R6 [J-Algo]# ORB-Enhanced-R6 with Key Liquidity
## 🎯 **Professional Opening Range Breakout + Institutional Liquidity Analysis**
Transform your trading with this comprehensive indicator that combines **Opening Range Breakouts** with **Key Liquidity Levels** - bridging the gap between retail and institutional trading concepts.
---
## 🚀 **Key Features**
### **📊 Opening Range Breakout (ORB)**
- **Customizable time periods** - 15min default, or set custom session times
- **Dynamic fill colors** - Session comparison or breakout direction
- **Professional labeling** - Clear ORH/ORL markers with tooltips
- **Historical data toggle** - Clean charts or full history view
### **🌍 Multi-Session Analysis**
- **Tokyo, London, New York, Sydney** sessions with individual colors
- **Session high/low tracking** - Identify key intraday levels
- **Timezone flexibility** - Supports all major trading timezones
- **Clean visual separation** - Each session clearly distinguished
### **💧 Dual-Timeframe Key Liquidity**
- **HTF Liquidity (4H default)** - Major institutional levels where big money sits
- **LTF Liquidity (1H default)** - Precision entry levels for optimal timing
- **Smart mitigation** - Levels disappear when broken (optional: keep visible)
- **Timeframe labels** - Clear "4H", "1H" identification at line ends
### **📈 Advanced Confirmation Tools**
- **EMA Integration** - Trend bias with customizable length
- **Multi-Timeframe Analysis** - Higher timeframe trend confirmation
- **Volume Spike Detection** - Identify high-conviction moves
- **Smart Alerts** - Quality-scored breakouts (High Quality vs Standard)
---
## 🎨 **Visual Excellence**
### **Professional Design**
- **Color-coded sessions** - Easy visual distinction
- **Consistent labeling** - ORB style text for all levels
- **Flexible extensions** - Short, Current, or Max line extensions
- **Clean interface** - Show/hide any component
### **Customization Options**
- **Individual session colors** - Personalize your chart appearance
- **Line thickness control** - Adjust visual prominence
- **Text size options** - Tiny to Huge sizing
- **Transparency settings** - Perfect visual balance
---
## ⚡ **Smart Alert System**
### **Quality-Scored Breakouts**
- **HIGH QUALITY** alerts when volume + MTF bias confirm
- **STANDARD** alerts for regular breakouts
- **Detailed information** - Price levels, volume strength, MTF bias
- **Once-per-bar frequency** - No spam, only actionable signals
---
## 🎯 **Trading Applications**
### **Scalping Strategy**
1. **LTF liquidity sweep** + **ORB breakout** = Precision entry
2. **Volume confirmation** = High-conviction trade
3. **Session awareness** = Optimal timing
### **Swing Trading**
1. **HTF liquidity levels** = Major support/resistance
2. **ORB direction** + **MTF bias** = Trend confirmation
3. **Session breaks** = Momentum continuation
### **Institutional Approach**
1. **HTF liquidity** = Where institutions position
2. **LTF liquidity** = Where retail stops cluster
3. **ORB + Liquidity confluence** = Highest probability setups
---
## ⚙️ **Configuration Guide**
### **Quick Setup**
1. **Enable Key Liquidity** - Turn on HTF (4H) for major levels
2. **Optional LTF** - Add 1H levels for precision (can be toggled off)
3. **Session Selection** - Choose relevant trading sessions
4. **ORB Timeframe** - Default 15min or customize
### **Advanced Setup**
- **MTF Analysis** - Enable for trend bias confirmation
- **Volume Analysis** - Add conviction to breakouts
- **Alert Configuration** - Set up quality-scored notifications
- **Visual Customization** - Colors, thickness, extensions
---
## 📊 **Best Timeframes**
### **Recommended Usage**
- **Chart Timeframe**: 5min - 15min
- **HTF Liquidity**: 4H - 1D
- **LTF Liquidity**: 1H - 4H
- **ORB Period**: 15min - 1H
---
## 🛠️ **Technical Excellence**
- **Pine Script v6** - Latest TradingView technology
- **Optimized Performance** - Efficient array management
- **Error Handling** - Robust code prevents crashes
- **Memory Management** - Display limits prevent overload
---
## 💡 **Why This Indicator?**
### **Combines Best of Both Worlds**
- **Retail Strategy** - ORB breakouts for clear signals
- **Institutional Context** - Liquidity levels for market structure
- **Professional Execution** - Clean, reliable, customizable
### **Complete Trading Solution**
- **Entry Signals** - ORB breakouts with confluence
- **Context Levels** - Key liquidity for S/R
- **Risk Management** - Clear invalidation levels
- **Timing Tools** - Session and volume awareness
---
## 🎖️ **Perfect For**
✅ **Forex Traders** - Session-based with liquidity context
✅ **Crypto Traders** - 24/7 ORB with institutional levels
✅ **Scalpers** - Precision entries with LTF liquidity
✅ **Swing Traders** - HTF context with ORB momentum
✅ **Professional Traders** - Institutional-grade analysis
---
## 🔥 **Get Started**
Add this indicator to your chart and experience the power of combining **Opening Range Breakouts** with **Key Liquidity Analysis**. Transform your trading from guesswork to precision with institutional-level market structure awareness.
**Happy Trading! 📈**
---
## 📝 **Disclaimer**
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Smart Money Concept v1Smart Money Concept Indicator – Visual Interpretation Guide
What Happens When Liquidity Lines Are Broken
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
- Indicates price has dipped below a previous swing low where sell stops are likely placed.
- Market Makers may be triggering these stops to accumulate long positions.
- Often followed by a bullish reversal.
- Trader Actions:
• Look for a bullish candle close after the sweep.
• Confirm with nearby Bullish Order Block or Fair Value Gap.
• Consider entering a Buy trade (SLH entry).
- If price continues falling: Indicates trend continuation and invalidation of the buy-side liquidity zone.
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
- Indicates price has moved above a previous swing high where buy stops are likely placed.
- Market Makers may be triggering these stops to accumulate short positions.
- Often followed by a bearish reversal.
- Trader Actions:
• Look for a bearish candle close after the sweep.
• Confirm with nearby Bearish Order Block or Fair Value Gap.
• Consider entering a Sell trade (SLH entry).
- If price continues rising: Indicates trend continuation and invalidation of the sell-side liquidity zone.
Chart-Based Interpretation of Green Line Breaks
In the provided DOGE/USD 15-minute chart image:
- Green lines represent buy-side liquidity zones.
- If these lines are broken:
• It may be a stop hunt before a bullish continuation.
• Or a false Break of Structure (BOS) leading to deeper retracement.
- Confirmation is needed from candle structure and nearby OB/FVG zones.
Is the Pink Zone a Valid Bullish Order Block?
To validate the pink zone as a Bullish OB:
- It should be formed by a strong down-close candle followed by a bullish move.
- Price should have rallied from this zone previously.
- If price is now retesting it and showing bullish reaction, it confirms validity.
- If formed during low volume or price never rallied from it, it may not be valid.
Smart Money Concept - Liquidity Line Breaks Explained
This document explains how traders should interpret the breaking of green (buy-side) and red (sell-side) liquidity lines when using the Smart Money Concept indicator. These lines represent key liquidity pools where stop orders are likely placed.
🟩 Green Line Broken (Buy-Side Liquidity Pool Swept)
When the green line is broken, it indicates:
• - Price has dipped below a previous swing low where sell stops were likely placed.
• - Market Makers have triggered those stops to accumulate long positions.
• - This is often followed by a bullish reversal.
Trader Actions:
• - Look for a bullish candle close after the sweep.
• - Confirm with a nearby Bullish Order Block or Fair Value Gap.
• - Consider entering a Buy trade (SLH entry).
🟥 Red Line Broken (Sell-Side Liquidity Pool Swept)
When the red line is broken, it indicates:
• - Price has moved above a previous swing high where buy stops were likely placed.
• - Market Makers have triggered those stops to accumulate short positions.
• - This is often followed by a bearish reversal.
Trader Actions:
• - Look for a bearish candle close after the sweep.
• - Confirm with a nearby Bearish Order Block or Fair Value Gap.
• - Consider entering a Sell trade (SLH entry).
📌 Additional Notes
• - If price continues beyond the liquidity line without reversal, it may indicate a trend continuation rather than a stop hunt.
• - Always confirm with Higher Time Frame bias, Institutional Order Flow, and price reaction at the zone.
