Liquidity Sentiment Profile (Auto-Anchored) [LuxAlgo]
The Liquidity Sentiment Profile (Auto-Anchored) is an advanced charting tool that measures by combining PRICE and VOLUME data over specified anchored periods and highlights the distribution of the liquidity and the market sentiment at specific price levels. This version is a variation of the previously published Liquidity Sentiment Profile , wherewith this version allows users to select a variety of different anchoring periods, such as 'Auto', 'Fixed Range', 'Swing High', 'Swing Low', 'Session', 'Day', 'Week', 'Month', 'Quarter', and 'Year'
Liquidity refers to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
🔶 USAGE
A Liquidity Sentiment Profile (Auto-Anchored) is a combination of liquidity and a sentiment profile, where the right side of the profile highlights the distribution of the traded activity at different price levels, and the left side of the profile highlights the market sentiment at those price levels
The liquidity profile is categorized by assigning different colors based on the significance of the traded activity of the specific price levels, allowing traders to reveal significant price levels, such as support and resistance levels, supply and demand zones, liquidity gaps, consolidation zones, etc
The Liquidity Sentiment Profiles aim to present Value Areas based on the significance of price levels, thus allowing users to identify value areas that can be formed more than once within the range of a single profile
Level of Significance Line - displays the changes in the price levels with the highest traded activity (developing POC)
Buyside & Sellside Liquidity Zones - displays Liquidity Levels, also known as Supply and Demand Zones
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Sentiment Profile
Anchor Period: The indicator resolution is set by the input of the Anchor Period.
Fixed Period: Applicable if the Anchor Period is set to 'Fixed Range' then the period of the profile is defined with this option
Swing Detection Length: Applicable if the Anchor Period is set to 'Swing High' or 'Swing Low' then the length required to detect the Swing Levels is defined with this option which is then used to determine the period of the profile
🔹 Liquidity Profile
Liquidity Profile: Toggles the visibility of the Liquidity Profiles
High Traded Nodes: Threshold and Color option for High Traded Nodes
Average Traded Nodes: Color option for Average Traded Nodes
Low Traded Nodes: Threshold and Color option for Low Traded Nodes
🔹 Sentiment Profile
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔹 Buyside & Sellside Liquidity Zones
Buyside & Sellside Liquidity Zones: Toggles the visibility of the Liquidity Levels
Buyside Liquidity Nodes: Color option for Buyside Liquidity Nodes
Sellside Liquidity Nodes: Color option for Sellside Liquidity Nodes
🔹 Other Settings
Level of Significance: Toggles the visibility of the Level of Significance Line
Price Levels, Color: Toggles the visibility of the Profile Price Levels
Number of Rows: Specify how many rows each profile histogram will have. Caution, having it set to high values will quickly hit Pine Script™ drawing objects limit and fewer historical profiles will be displayed
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Range Background Fill: Toggles the visibility of the Profiles Range
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity
ICT-Concepts
"demand" için komut dosyalarını ara
Support and Resistance Signals MTF [LuxAlgo]The Support and Resistance Signals MTF indicator aims to identify undoubtedly one of the key concepts of technical analysis Support and Resistance Levels and more importantly, the script aims to capture and highlight major price action movements, such as Breakouts , Tests of the Zones , Retests of the Zones , and Rejections .
The script supports Multi-TimeFrame (MTF) functionality allowing users to analyze and observe the Support and Resistance Levels/Zones and their associated Signals from a higher timeframe perspective.
This script is an extended version of our previously published Support-and-Resistance-Levels-with-Breaks script from 2020.
Identification of key support and resistance levels/zones is an essential ingredient to successful technical analysis.
🔶 USAGE
Support and resistance are key concepts that help traders understand, analyze and act on chart patterns in the financial markets. Support describes a price level where a downtrend pauses due to demand for an asset increasing, while resistance refers to a level where an uptrend reverses as a sell-off happens.
The creation of support and resistance levels comes as a result of an initial imbalance of supply/demand, which forms what we know as a swing high or swing low. This script starts its processing using the swing highs/lows. Swing Highs/Lows are levels that many of the market participants use as a historical reference to place their trading orders (buy, sell, stop loss), as a result, those price levels potentially become and serve as key support and resistance levels.
One of the important features of the script is the signals it provides. The script follows the major price movements and highlights them on the chart.
🔹 Breakouts (non-repaint)
A breakout is a price moving outside a defined support or resistance level, the significance of the breakout can be measured by examining the volume. This script is not filtering them based on volume but provides volume information for the bar where the breakout takes place.
🔹 Retests
Retest is a case where the price action breaches a zone and then revisits the level breached.
🔹 Tests
Test is a case where the price action touches the support or resistance zones.
🔹 Rejections
Rejections are pin bar patterns with high trading volume.
Finally, Multi TimeFrame (MTF) functionality allows users to analyze and observe the Support and Resistance Levels/Zones and their associated Signals from a higher timeframe perspective.
🔶 SETTINGS
The script takes into account user-defined parameters to detect and highlight the zones, levels, and signals.
🔹 Support & Resistance Settings
Detection Timeframe: Set the indicator resolution, the users may examine higher timeframe detection on their chart timeframe.
Detection Length: Swing levels detection length
Check Previous Historical S&R Level: enables the script to check the previous historical levels.
🔹 Signals
Breakouts: Toggles the visibility of the Breakouts, enables customization of the color and the size of the visuals
Tests: Toggles the visibility of the Tests, enables customization of the color and the size of the visuals
Retests: Toggles the visibility of the Retests, enables customization of the color and the size of the visuals
Rejections: Toggles the visibility of the Rejections, enables customization of the color and the size of the visuals
🔹 Others
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔶 RELATED SCRIPTS
Support-and-Resistance-Levels-with-Breaks
Buyside-Sellside-Liquidity
Liquidity-Levels-Voids
Rectified BB% for option tradingThis indicator shows the bollinger bands against the price all expressed in percentage of the mean BB value. With one sight you can see the amplitude of BB and the variation of the price, evaluate a reenter of the price in the BB.
The relative price is visualized as a candle with open/high/low/close value exspressed as percentage deviation from the BB mean
The indicator include a modified RSI, remapped from 0/100 to -100/100.
You can choose the BB parameters (length, standard deviation multiplier) and the RSI parameter (length, overbougth threshold, ovrsold threshold)
You can exclude/include the candles and the RSI line.
The indicator can be used to sell options when the volatility is high (the bollinger band is wide) and the price is reentering inside the bands.
If the price is forming a supply or demand area it can be a good opportunity to sell a bull put or a bear call
The RSI can be used as confirm of the supply/demand formation
If the bollinger band is narrow and the RSI is overbought/oversold it indicate a better opportunity to buy options
the indicator is designed to work with daily timeframe and default parameters.
AI Trend Navigator [K-Neighbor]█ Overview
In the evolving landscape of trading and investment, the demand for sophisticated and reliable tools is ever-growing. The AI Trend Navigator is an indicator designed to meet this demand, providing valuable insights into market trends and potential future price movements. The AI Trend Navigator indicator is designed to predict market trends using the k-Nearest Neighbors (KNN) classifier.
By intelligently analyzing recent price actions and emphasizing similar values, it helps traders to navigate complex market conditions with confidence. It provides an advanced way to analyze trends, offering potentially more accurate predictions compared to simpler trend-following methods.
█ Calculations
KNN Moving Average Calculation: The core of the algorithm is a KNN Moving Average that computes the mean of the 'k' closest values to a target within a specified window size. It does this by iterating through the window, calculating the absolute differences between the target and each value, and then finding the mean of the closest values. The target and value are selected based on user preferences (e.g., using the VWAP or Volatility as a target).
KNN Classifier Function: This function applies the k-nearest neighbor algorithm to classify the price action into positive, negative, or neutral trends. It looks at the nearest 'k' bars, calculates the Euclidean distance between them, and categorizes them based on the relative movement. It then returns the prediction based on the highest count of positive, negative, or neutral categories.
█ How to use
Traders can use this indicator to identify potential trend directions in different markets.
Spotting Trends: Traders can use the KNN Moving Average to identify the underlying trend of an asset. By focusing on the k closest values, this component of the indicator offers a clearer view of the trend direction, filtering out market noise.
Trend Confirmation: The KNN Classifier component can confirm existing trends by predicting the future price direction. By aligning predictions with current trends, traders can gain more confidence in their trading decisions.
█ Settings
PriceValue: This determines the type of price input used for distance calculation in the KNN algorithm.
hl2: Uses the average of the high and low prices.
VWAP: Uses the Volume Weighted Average Price.
VWAP: Uses the Volume Weighted Average Price.
Effect: Changing this input will modify the reference values used in the KNN classification, potentially altering the predictions.
TargetValue: This sets the target variable that the KNN classification will attempt to predict.
Price Action: Uses the moving average of the closing price.
VWAP: Uses the Volume Weighted Average Price.
Volatility: Uses the Average True Range (ATR).
Effect: Selecting different targets will affect what the KNN is trying to predict, altering the nature and intent of the predictions.
Number of Closest Values: Defines how many closest values will be considered when calculating the mean for the KNN Moving Average.
Effect: Increasing this value makes the algorithm consider more nearest neighbors, smoothing the indicator and potentially making it less reactive. Decreasing this value may make the indicator more sensitive but possibly more prone to noise.
Neighbors: This sets the number of neighbors that will be considered for the KNN Classifier part of the algorithm.
Effect: Adjusting the number of neighbors affects the sensitivity and smoothness of the KNN classifier.
Smoothing Period: Defines the smoothing period for the moving average used in the KNN classifier.
Effect: Increasing this value would make the KNN Moving Average smoother, potentially reducing noise. Decreasing it would make the indicator more reactive but possibly more prone to false signals.
█ What is K-Nearest Neighbors (K-NN) algorithm?
At its core, the K-NN algorithm recognizes patterns within market data and analyzes the relationships and similarities between data points. By considering the 'K' most similar instances (or neighbors) within a dataset, it predicts future price movements based on historical trends. The K-Nearest Neighbors (K-NN) algorithm is a type of instance-based or non-generalizing learning. While K-NN is considered a relatively simple machine-learning technique, it falls under the AI umbrella.
We can classify the K-Nearest Neighbors (K-NN) algorithm as a form of artificial intelligence (AI), and here's why:
Machine Learning Component: K-NN is a type of machine learning algorithm, and machine learning is a subset of AI. Machine learning is about building algorithms that allow computers to learn from and make predictions or decisions based on data. Since K-NN falls under this category, it is aligned with the principles of AI.
Instance-Based Learning: K-NN is an instance-based learning algorithm. This means that it makes decisions based on the entire training dataset rather than deriving a discriminative function from the dataset. It looks at the 'K' most similar instances (neighbors) when making a prediction, hence adapting to new information if the dataset changes. This adaptability is a hallmark of intelligent systems.
Pattern Recognition: The core of K-NN's functionality is recognizing patterns within data. It identifies relationships and similarities between data points, something akin to human pattern recognition, a key aspect of intelligence.
Classification and Regression: K-NN can be used for both classification and regression tasks, two fundamental problems in machine learning and AI. The indicator code is used for trend classification, a predictive task that aligns with the goals of AI.
Simplicity Doesn't Exclude AI: While K-NN is often considered a simpler algorithm compared to deep learning models, simplicity does not exclude something from being AI. Many AI systems are built on simple rules and can be combined or scaled to create complex behavior.
No Explicit Model Building: Unlike traditional statistical methods, K-NN does not build an explicit model during training. Instead, it waits until a prediction is required and then looks at the 'K' nearest neighbors from the training data to make that prediction. This lazy learning approach is another aspect of machine learning, part of the broader AI field.
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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!
Impulse MACD buy OwlPixelDescription:
The Impulse MACD Buy Indicator, developed by OwlPixel, is a powerful trading tool for traders using TradingView's Pine Script version 5. This indicator aims to provide valuable insights for identifying potential buy signals in the market using the popular MACD (Moving Average Convergence Divergence) oscillator.
Key Features:
MACD Analysis: The indicator displays the MACD line (blue) and the signal line (orange) on the chart, helping traders assess the momentum and trend direction of an asset.
Impulse Histo: The Impulse Histo (blue histogram) visualizes the difference between the MACD line and the signal line, making it easier to spot changes in market strength and potential trend reversals.
Impulse MACD CD Signal: This histogram (maroon color) highlights the divergence between the Impulse Histo and the signal line, providing further insights into trend shifts.
Background Boxes: The indicator features three rows of different colored background boxes that represent distinct market conditions - an uptrend (light green), a downtrend (light red), and a neutral trend (light yellow).
Crossover Points: Buy signals are marked with green circles when the MACD line crosses above the signal line, suggesting potential entry points for long positions.
Demand and Supply Bars: The demand (lime/green) and supply (red/orange) bars are intensified, aiding traders in identifying possible reversal areas.
Stop Loss and Take Profit:
The Impulse MACD Buy Indicator automatically calculates Stop Loss (SL) and Take Profit (TP) levels for buy signals. The SL level is set at the highest of the last three candles, while the TP level is determined by a user-defined percentage of the closing price. This information helps traders manage risk and optimize their profit potential.
Usage:
Apply the Impulse MACD Buy Indicator to your TradingView chart by copying the provided Pine Script into the Pine Editor.
Configure the input parameters, such as the MA Length and Signal Length, to suit your trading preferences.
Observe the MACD line, signal line, and histograms to gain insights into market momentum and trends.
Identify buy signals when the MACD line crosses above the signal line, signaled by green circles.
Utilize the provided Stop Loss and Take Profit levels for risk management and exit strategies.
Please note that this indicator is for informational purposes only and should be used in conjunction with other analysis techniques to make well-informed trading decisions. Happy trading!
Liquidity Voids (FVG) [LuxAlgo]The Liquidity Voids (FVG) indicator is designed to detect liquidity voids/imbalances derived from the fair value gaps and highlight the distribution of the liquidity voids at specific price levels.
Fair value gaps and liquidity voids are both indicators of sell-side and buy-side imbalance in trading. The only difference is how they are represented in the trading chart. Liquidity voids occur when the price moves sharply in one direction forming long-range candles that have little trading activity, whilst a fair value is a gap in price.
🔶 USAGE
Liquidity can help you to determine where the price is likely to head next. In conjunction with higher timeframe market structure, and supply and demand, liquidity can give you insights into potential price movement. It's essential to practice using liquidity alongside trend analysis and supply and demand to read market conditions effectively.
The peculiar thing about liquidity voids is that they almost always fill up. And by “filling”, we mean the price returns to the origin of the gap. The reason for this is that during the gap, an imbalance is created in the asset that has to be made up for. The erasure of this gap is what we call the filling of the void. And while some voids waste no time in filling, some others take multiple periods before they get filled.
🔶 SETTINGS
The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Detection
Liquidity Voids Threshold: Act as a filter while detecting the Liquidity Voids. When set to 0 basically means no filtering is applied, increasing the value causes the script to check the width of the void compared to a fixed-length ATR value
Bullish: Color customization option for Bullish Liquidity Voids
Bearish: Color customization option for Bearish Liquidity Voids
Labels: Toggles the visibility of the Liquidity Void label
Filled Liquidity Voids: Toggles the visibility of the Filled Liquidity Voids
🔹 Display Options
Mode: Controls the lookback length of detection and visualization
# Bars: Lookback length customization, in case Mode is set to Present
🔶 RELATED SCRIPTS
Buyside-Sellside-Liquidity
Fair-Value-Gaps
Volume Spread Analysis Candle PatternsVolume Spread Analysis (VSA) is a methodology used in trading and investing to analyze the relationship between volume, price spread, and price movement in financial markets. It was developed by Richard Wyckoff, a prominent trader and market observer.
The core principle of VSA is that changes in volume can provide insights into the strength or weakness of price movements and indicate the intentions of market participants. By examining the interplay between volume and price, traders aim to identify the behavior of smart money (informed institutional investors) versus less-informed market participants.
Key concepts in Volume Spread Analysis include:
1. Volume: VSA places significant emphasis on volume as a leading indicator. It suggests that changes in volume precede price movements and can provide clues about the market's sentiment.
2. Spread: The spread refers to the price range between the high and low of a given trading period (e.g., a candlestick or bar). VSA considers the relationship between volume and spread to gauge the strength of price action.
3. Upthrust and Springs: These are VSA candle patterns that indicate potential market reversals. An upthrust occurs when prices briefly move above a resistance level but fail to sustain the upward momentum. Springs, on the other hand, happen when prices briefly dip below a support level but quickly rebound.
4. No Demand and No Supply: These patterns suggest a lack of interest or participation from buyers (no demand) or sellers (no supply) at a particular price level. These conditions may foreshadow a potential price reversal or consolidation.
5. Hidden Buying and Selling: Hidden buying occurs when prices close near the high of a bar, indicating the presence of buyers even though the market appears weak. Hidden selling is the opposite, where prices close near the low of a bar, suggesting the presence of sellers despite apparent strength.
By combining these VSA concepts with other technical analysis tools, traders seek to identify potential trading opportunities with favorable risk-reward ratios. VSA can be applied to various financial markets, including stocks, futures, forex, and cryptocurrencies.
It's important to note that while VSA provides a framework for analyzing volume and price, its interpretation and application require experience, skill, and subjective judgment. Traders often use VSA in conjunction with other technical indicators and chart patterns to make well-informed trading decisions.
Multi-Timeframe High Low (@JP7FX)Multi-Timeframe High Low Levels (@JP7FX)
This Price Action indicator displays high and low levels from a selected timeframe on your current chart.
These levels COULD represent areas of potential liquidity, providing key price points where traders can target entries, reversals, or continuation trades.
Key Features:
Display high and low levels from a selected timeframe.
Customize line width, colors for high and low levels, and label text color.
Enable or disable the display of high levels, low levels, and labels.
Receive alerts when the price takes out high or low levels.
How to use:
It is important to note that using this indicator on it's own is not advisable. Instead, it should be combined with other tools and analysis for a more comprehensive trading strategy.
Possibly look to use my MTF Supply and Demand Indicator to look for zones to trade from at these levels?
If the price breaks above a high level, you might consider entering a long position, with the expectation that the price will continue to rise. Conversely, if the price breaks below a low level, you may think about entering a short position, anticipating further downward movement.
On the other hand, you can also use high or low levels to look for reversal trades, as these areas can represent attractive liquidity zones.
By identifying these key price points, you could take advantage of potential market reversals and capitalise on new trading opportunities.
Always remember to use this indicator in conjunction with other technical analysis tools for the best results.
Additionally, you can enable alerts to notify you when the price takes out high or low levels, helping you stay informed about significant price movements.
This indicator could be a valuable tool for traders looking to identify key price points for potential trading opportunities.
As always with the markets, Trade Safe :)
Paradigm Trades_VPA Swing IndicatorThe indicator is designed to identify specific patterns in price and volume movements that can signal potential trading opportunities. It does this by calculating several conditions based on the current bar's price and volume movements.
The code defines five conditions: Narrow Spread Up Bar, Wide Spread Down Bar, No Demand Bar, No Selling Bar, and Churning. These conditions are then plotted on the chart using specific shapes and colors. The code also includes alert conditions for each of the signals, which can be used to generate alerts for traders when a particular pattern is identified.
The VPA Swing Indicator can be used as part of a swing trading strategy to identify potential buy or sell signals. For example, a Narrow Spread Up Bar may indicate bullish momentum, while a Wide Spread Down Bar may indicate bearish momentum. Traders can use these signals to make informed trading decisions and manage their risk accordingly.
Legend:
Spread Up Bar: This is a bullish bar with a small spread, indicating a lack of selling pressure and strong buying activity.
Wide Spread Down Bar: This is a bearish bar with a large spread, indicating strong selling pressure and weak buying activity.
No Demand Bar: This is a bearish bar with a small spread and low volume, indicating a lack of buying interest and the smart money selling off their positions.
No Selling Bar: This is a bullish bar with a small spread and low volume, indicating a lack of selling interest and the smart money buying up positions.
Churning: This is a sideways market with narrow spread bars and low volume, indicating the smart money is distributing shares to the retail traders.
Rich Robin Index, The Crypto Fear & Greed Index with RSI Trend The Relative Strength Index (RSI) is a technical indicator based on price movements that is used to determine whether a particular asset is overbought or oversold. It measures the ratio of rising to falling prices over a certain period of time.
The Fear & Greed Index, on the other hand, is a composite index that tracks the sentiment of the crypto market. It is based on seven indicators, each of which measures a different aspect of market behavior. These indicators are: Safe Haven Demand, Stock Price Breadth, Market Momentum, Stock Price Strength, Put and Call Options, Junk Bond Demand, and Market Volatility.
The combination of the RSI and the Fear & Greed Index can provide valuable insights for crypto traders. The RSI can help identify overbought and oversold conditions, while the Fear & Greed Index can give an overall sense of the sentiment in the market. Together, they can provide a more complete picture of the market conditions. For example, if the RSI is indicating that an asset is overbought, but the Fear & Greed Index is showing that the market is still in a state of fear, it may be a good time to sell. On the other hand, if the RSI is indicating that an asset is oversold, but the Fear & Greed Index is showing that the market is in a state of greed, it may be a good time to buy.
Overall, the combination of the RSI and the Fear & Greed Index can provide useful information for traders to make more informed decisions, by giving a sense of the market conditions, and providing a way to identify overbought and oversold conditions.
4 main Stablecoin MarketCapThis indicator summarized 4 main stablecoin marketcap (USDT, USDC , BUSD, DAI).
It is given that most of the transactions of cryptocurrencies are traded by stablecoins, and USDT, USDC , BUSD and DAI shared 90%+ of the stablecoins market capacity. Therefore, by summarizing these 4 main stablecoins total market capacity, can reflect the overall demand power.
When the indicator goes up, it is expected that the overall market demand will increase.
When the indicator goes down, it is expected that the cryptocurrencies market might be in a recession.
This indicator could be more useful in a longer timeframe, day-trade or even shorter might not be the suitable timeframe.
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V2 update
Separate 4 sectors and shadowed in different colors for 4 different stablecoins for more accurated view.
Support/Resistant Zone (Simple)The concepts of trading level support and resistance are undoubtedly two of the most highly discussed attributes of technical analysis.
Support is a price level where a downtrend can be expected to pause due to a concentration of demand or buying interest. As the price of assets or securities drops, demand for the shares increases, thus forming the support line. Meanwhile, resistance zones arise due to selling interest when prices have increased.
There are many ways to identify support and resistance zones. This indicator is a simple method to identify them. Support/Resistant zones will draw basing on the size of the wick for candles, which are Pivots High/Low before.
Volume Price Trend with Divergence and Pivot Points The volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow.
This is Volume Price Trend or VPT recalculated to be an Oscillator, a Divergence hunter was added, also Pivot Points and Alerts.
VPT is considered a "leading indicator" - in contrast to a "lagging indicator" just as Moving Averages it does not show a confirmation what already happened, but it shows what can happen in the future. For example: The chart is climbing while the VPT oscillator is slowly declining, gets weaker and weaker, maybe even prints bearish divergences? That means that a reversal might be occurring soon. Leading indicators are best paired with Stop and Resistance Lines, general Trendlines , Fib Retracements etc...Your chart is approaching a very important Resistance Trendline but the VPT shows a very positive signal? That means there is a high probability that the Resistance is going to be pushed though and becomes Support in the future.
What are those circles?
-These are Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are those triangles?
- These are Pivots . They show when the VPT oscillator might reverse, this is important to know because many times the price action follows this move.
Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Freedom of MovementFreedom of Movement Indicator
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In “Evidence-Based Support & Resistance” article, author Melvin Dickover introduces two new indicators to help traders note support and resistance areas by identifying supply and demand pools. Here you can find the support-resistance technical indicator called "Freedom of Movement".
The indicator takes into account price-volume behavior in order to detect points where movement of price is suddenly restricted, the possible supply and demand pools. These points are also marked by Defended Price Lines (DPLs).
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value) corresponds to a price bar overlapping the previous one, the previous close can be used as the DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar, the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using the previous close as the DPL value. When the gap is big, the close of the latter bar is used instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, FoM (Freedom of Movement) is used along with the Relative Volume Indicator (RVI), which you can find here:
Clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the RVI. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
Trading Psychology - Fear & Greed Index by DGTPsychology of a Market Cycle - Where are we in the cycle?
Before proceeding with the question "where", let's first have a quick look at "What is market psychology?"
Market psychology is the idea that the movements of a market reflect the emotional state of its participants. It is one of the main topics of behavioral economics - an interdisciplinary field that investigates the various factors that precede economic decisions. Many believe that emotions are the main driving force behind the shifts of financial markets and that the overall fluctuating investor sentiment is what creates the so-called psychological market cycles - which is also dynamic.
Stages of Investor Emotions:
* Optimism – A positive outlook encourages us about the future, leading us to buy stocks.
* Excitement – Having seen some of our initial ideas work, we begin considering what our market success could allow us to accomplish.
* Thrill – At this point we investors cannot believe our success and begin to comment on how smart we are.
* Euphoria – This marks the point of maximum financial risk. Having seen every decision result in quick, easy profits, we begin to ignore risk and expect every trade to become profitable.
* Anxiety – For the first time the market moves against us. Having never stared at unrealized losses, we tell ourselves we are long-term investors and that all our ideas will eventually work.
* Denial – When markets have not rebounded, yet we do not know how to respond, we begin denying either that we made poor choices or that things will not improve shortly.
* Fear – The market realities become confusing. We believe the stocks we own will never move in our favor.
* Desperation – Not knowing how to act, we grasp at any idea that will allow us to get back to breakeven.
* Panic – Having exhausted all ideas, we are at a loss for what to do next.
* Capitulation – Deciding our portfolio will never increase again, we sell all our stocks to avoid any future losses.
* Despondency – After exiting the markets we do not want to buy stocks ever again. This often marks the moment of greatest financial opportunity.
* Depression – Not knowing how we could be so foolish, we are left trying to understand our actions.
* Hope – Eventually we return to the realization that markets move in cycles, and we begin looking for our next opportunity.
* Relief – Having bought a stock that turned profitable, we renew our faith that there is a future in investing.
It's hard to predict with certainty where we exactly are in the market cycle, we can only make an educated guess as to the rough stage based on data available. And here comes the study "Trading Psychology - Fear & Greed Index"
Factors taken into account in this study include:
1-Price Momentum : Price Divergence/Convergence versus its Slow Moving Average
2-Strenght : Rate of Return (RoR) also called Return on Investment (ROI) is a performance measure used to evaluate the efficiency of an investment, net gain or loss of an investment over a specified time period, the rate of change in price movement over a period of time to help investors determine the strength
3-Money Flow : Chaikin Money Flow (CMF) is a technical analysis indicator used to measure Money Flow Volume over a set period of time. CMF can be used as a way to further quantify changes in buying and selling pressure and can help to anticipate future changes and therefore trading opportunities. CMF calculations is based on Accumulation/Distribution
4-Market Volatility : CBOE Volatility Index (VIX), the Volatility Index, or VIX, is a real-time market index that represents the market's expectation of 30-day forward-looking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors' sentiments. It is also known by other names like "Fear Gauge" or "Fear Index." Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions
5-Safe Haven Demand : in this study GOLD demand is assumed
What to look for :
*Fear and Greed Index as explained above,
*Divergencies
Tool tip of the label displayed provides details of references
Conclusion:
As investors, we always get caught up in the day to day price movements, and lose sight of the bigger picture. The biggest crashes happen not when investors are cautious and fearful, it's when they're euphoric and expecting financial instruments to continue going higher. So as we continue investing, don’t forget to stop and ask yourself, where in the chart do you think we are right now? The Market Psychology Cycle shines light on how emotions evolve, fear and greed index can come in handy, provided that it is not the only tool used to make investment decisions. It is easy to look back at market cycles and recognize how the overall psychology changed. Analyzing previous data makes it obvious what actions and decisions would have been the most profitable. However, it is much harder to understand how the market is changing as it goes - and even harder to predict what comes next. Many investors use technical analysis (TA) to attempt to anticipate where the market is likely to go. Investors are advised to keep tabs on fear for potential buying the dips opportunities and view periods of greed as a potential indicator that financial instruments might be overvalued.
Warren Buffett's quote, buy when others are fearful, and sell when others are greedy
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
RedK_AvgMoneyFlow Oscillator v1This is a compact & simple study that tracks the short-term average price change and the (average) volume associated with it, to generate a very clear signal when a change of buying/selling flow is detected. these buy/sell cycles can happen within a longer "demand / trend-up" or "supply / trend down" phases as we know.
this concept is a bit different from MFI or CMF. The math we use here is simpler, and more "relative" and short-term focused, deliberately.
how does it work
===============
once the average price change and the average volumes are calculated for the specified length, we then turn that into a +100/-100 oscillator format - using the stoch() function - which helps to generate a clearly identifiable unambiguous signal (crossing the zero line up or down) that help traders (mainly with entries)
-- the stoch() function also makes the oscillator "relative" to the specified period length, meaning, we can be in a uptrend (demand mode) and the MFO is showing flow "out" (negative) - that's specific to the short-term period - and that's exactly what i was trying to see
- the thinking here is that the best spot to go long is when the existing selling has been depleted and no more supply exists (during an uptrend), and vice verca.
- other stuff: i use WMA() throughout the script -- and we apply a smoothing for the final plot. keep smoothing to a minimum to avoid unnecessary lag in the signals
- the signal should be considered *after* a bar is fully closed.
Suggested Use
==============
i suggest you use this in combination with other indicators that can show the overall short-term and long-term bias (for example, i use the Ribbon here for that) - and take only entry signals in the same direction - a signal to go long, for example, would be when the bias / trend is up *and* the MFO crosses the zero line *going up* .. you may need to wait for that setup to show before you hit the trigger.
another benefit here, is that MFO will also detect strengths and weaknesses - when we see diversion with price movement. this shows couple of times in the example below
Please Note
============
i do not do short-term trading / scalping - those who do, i hope may find this useful - if you decide to use it and you do find it useful, please post feedback here for the common learning
Good luck!
Gap driven intraday trade (better in 15 Min chart)// Based on yesterday's High, Low, today's open, and Bollinger Band (20) in current minute chart,
// Defined intraday Trading opportunity: Stop, Entry, T0, Target (S.E.T.T)
// Back test in 60, 30, 15, 5 Min charts with SPY, QQQ, XOP, AAPL, TSLA, NVDA, UAL
// In 60 and 30 min chart, the stop and target are too big. 5 min is too small.
// 15 min Chart is the best time frame for this strategy;
// -------------------------------------------------------------------------------
// There will be Four lines in this study:
// 1. Entry Line,
// 1.1 Green Color line to Buy, If today's open price above Yesterday's High, and current price below BB upper line.
// 1.2 Red Color line to Short, if today's open price below Yesterday's Low, and current above BB Lower line.
//
// 2. Black line to show initial stop, one ATR in current min chart;
//
// 3. Blue Line (T0) to show where trader can move stop to make even, one ATR in current min chart;
//
// 4. Orange Line to show initial target, Three ATR in current min chart;
//
// Trading opportunity:
// If Entry line is green color, Set stop buy order at today's Open;
// Whenever price is below the green line, Prepare to buy;
//
// If Entry line is Red color, Set Stop short at today's Open;
// Whenever price is above the red line, Prepare to short;
//
// Initial Stop: One ATR in min chart;
// Initial T0: One ATR in min chart;
// Initial Target: Three ATR in min chart;
// Initial RRR: Reward Risk Ratio = 3:1;
//
// Maintain: Once the position moves to T0, Move stop to "Make even + Lunch (such as, Entry + $0.10)";
// Allow to move target bigger, such as, next demand/supply zone;
// When near target or demand/supply zone or near Market close, move stop tightly;
//
// Close position: Limit order filled, or near Market Close, or trendline break;
//
// Key Step: Move stop to "Make even" after T0, Do not turn winner to loser;
// Willing to "in and out" many times in one day, and trade the same direction, same price again and again.
//
// Basic trading platform requests:
// To use this strategy, user needs to:
// 1. Scan Stocks Before market open:
// Prepare a watch list for top 10 ETF and Top 90 stocks which are most actively traded.
// Stock might be limited by price range, Beta, optionable, ...
// Before market open, Run a scan for these stocks, find which has GAP and inside BB;
// create watch list for that day.
//
// 2. Attach OSO and OCO orders:
// User needs to Send Entry, Stop (loss), and limit (target) orders at one time;
// Order Send order ( OSO ): Entry order sends Stop order and limit order;
// Order Cancel order ( OCO ): Stop order and limit order, when one is filled, it will cancel the other instantly;
Dynamic Support and ResistanceSupport is a price level where a downtrend can be expected to pause due to a concentration of demand or buying interest. As the price of assets or securities drops, demand for the shares increases, thus forming the support line.
Meanwhile, resistance zones arise due to selling interest when prices have increased.s their name implies, dynamic support and resistance levels change their level with each new price-tick.To draw dynamic support and resistance levels, traders usually use moving averages which are automatically drawn by your trading platform. The 200-day exponential moving average (EMA), 100-day EMA, and 20-30-40-50-day EMA are very popular dynamic support and resistance levels.also in some references Williams Fractal level used for dynamic support and resistance levels. and it also includes other support and resistance levels that are projected based on the pivot point calculation. All these levels help traders see where the price could experience support or resistance. Similarly, if the price moves through these levels it lets the trader know the price is trending in that direction.
VPT and Heiken Ashi Candles MTFThe volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow
So we put the VPT and add HA candles with non repainting MTF , the crossing up or down of the VPT over candles create the signals
since VPT tend to overshoot you can smooth it with Leni..(just give the smoothing of the length this stupid name:) )
alerts inside
just example of play with MTF and the smooth of VPT
Etwas31 Precision zones and trendTitle: Etwas31 Precision zones and trend
Overview: Get a complete market overview at a single glance. This script combines a comprehensive trend/volatility dashboard with automated, high-precision supply and demand zones. It filters out noise and highlights key market structures to improve your trading accuracy.
Key Features:
1. 📊 Advanced MTF Dashboard (5m - 1W)
Trend Monitor: Uses EMA 20 & 50 alignment to accurately detect Bullish, Bearish, or Neutral (Choppy) markets. No more guessing the trend.
Volatility Scanner: Utilizing ATR logic, it signals whether the market is active (High ⚡) or dormant (Low 💤) for each timeframe.
2. 🎯 Precision Support & Resistance Zones
Real Structure: Unlike simple lines, zones are drawn based on candle wicks (High to Body / Low to Body) to reflect the actual "thickness" of market interest.
Visual Hierarchy:
Weak Zones (15m, 30m): Displayed as Hollow/Dashed boxes. Ideal for scalping or short-term targets.
Strong Zones (1H, 4H, 1D, 1W): Displayed as Solid/Filled boxes. These are key levels for reversals and major trend continuation.
Auto-Extension: Zones automatically extend to the current price action for easy tracking.
3. ⚙️ Customizable & Clean
Fully customizable colors and visibility settings.
Optimized to prevent chart clutter while providing maximum information.
How to Use:
Use the Dashboard to align your trades with the higher timeframe trend (e.g., trade with the 4H trend).
Wait for Volatility (⚡) to confirm momentum.
Enter trades when price reacts at Solid Zones (Strong S/R) or use Hollow Zones for intraday scalp targets.
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew:
### Scalper’s Trend Filter (Triple EMA)
This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum .
- Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) .
- Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA .
- Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 .
### Flip Zone Trap (Reversal Catching)
This method identifies precise reversal moments where market structure shifts from weakness to strength .
- Use the 15-min chart to locate key support or resistance zones where price previously reacted .
- Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) .
- Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry .
### Liquidity Shift Trigger (Smart Money Trap)
This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries .
- Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) .
- Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) .
- Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction .
***
### Practical Application
- These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity .
- Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools .
All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
Trend Gazer v666: Unified ICT Trading System# Trend Gazer v666: Unified ICT Trading System
※日本語説明もあります。 Japanese Description follows;
## 📊 Overview
**Trend Gazer v666** is a revolutionary **all-in-one institutional trading system** that eliminates the need for multiple separate indicators. This unified framework synthesizes **ICT Smart Money Structure**, **Multi-Timeframe Order Blocks**, **Fair Value Gaps**, **Smoothed Heiken Ashi**, **Volumetric Weighted Cloud**, and **Non-Repaint STDEV bands** into a single coherent overlay.
Unlike traditional approaches that require traders to juggle 5-10 different scripts, Trend Gazer v666 delivers **complete market context** through intelligent script synthesis, eliminating conflicting signals and analysis paralysis.
---
## 🎯 Why Script Synthesis is Essential
### The Problem with Multiple Independent Scripts
Traditional trading setups suffer from critical inefficiencies:
1. **Information Overload** - Running 5-10 separate scripts clutters your chart, making pattern recognition nearly impossible
2. **Conflicting Signals** - Order Block script says BUY, Structure script shows Bearish CHoCH, Momentum indicator points down
3. **Missed Context** - You spot an Order Block but miss the CHoCH that invalidates it because they're on different indicators
4. **Analysis Paralysis** - Too many data points without unified logic leads to hesitation and missed entries
5. **Performance Degradation** - Multiple `request.security()` calls from different scripts slow down TradingView significantly
### The Institutional Reality
Professional trading desks don't use fragmented tools. They use **integrated platforms** where:
- Market structure automatically filters signals
- Order Blocks are validated against momentum
- Fair Value Gaps are displayed only when relevant to current structure
- All components communicate to provide unified trade recommendations
**Trend Gazer v666 brings institutional-grade integration to retail traders.**
---
## 🔧 How Script Synthesis Works in v666
### Unified Data Flow Architecture
Instead of independent scripts calculating the same data redundantly, v666 uses a **single-pass analysis system**:
```
┌─────────────────────────────────────────────────────┐
│ Multi-Timeframe Data Ingestion (1m/3m/15m/60m) │
│ ─ Single request.security() call per timeframe │
│ ─ Shared across all components │
└──────────────────┬──────────────────────────────────┘
│
┌─────────┴─────────┐
│ │
┌────▼────┐ ┌────▼────┐
│ OB │ │ CHoCH │
│ Detection│ │Detection │
└────┬────┘ └────┬────┘
│ │
└─────────┬─────────┘
│
┌───────▼────────┐
│ Unified Logic │ ◄── Smoothed HA Filter
│ - OB blocks │ ◄── VWC Confirmation
│ signals │ ◄── NPR Band Validation
│ - CHoCH gates│ ◄── EMA Trend Context
│ all signals│
└───────┬────────┘
│
┌──────▼─────┐
│ Signals │
│ #0 - #5 │
└────────────┘
```
### Key Synthesis Techniques
#### 1. **Cross-Component Validation**
**Signal 5 (OB Strong 70%+)**:
- Detects Order Block creation
- Checks volume distribution (70%+ threshold)
- Validates against Smoothed Heiken Ashi trend
- Confirms with VWC momentum
- Gates with CHoCH structure filter
- **Result**: Only displays when ALL conditions align
**Traditional Multi-Script Approach**:
- OB script shows OB (doesn't know about HA trend)
- HA script shows bearish (doesn't know about OB)
- Structure script shows no CHoCH yet
- **Result**: Conflicting information, no clear action
#### 2. **Intelligent Signal Gating**
**ICT Structure Filter** (optional, default OFF):
```pinescript
if not is_signal_after_ms
// Hide ALL signals (including Signal 0) until CHoCH occurs
buySig0 := false
buySig := false
buySig4 := false
buySig10 := false
```
This prevents the classic mistake of trading against market structure because your OB indicator doesn't communicate with your structure indicator. **All signals (S0-S5) are subject to this filter when enabled.**
#### 3. **OB Direction Filter**
When 2+ consecutive Bullish OBs are detected:
- **Automatically blocks ALL SELL signals** across Signals #0-5
- Fair Value Gaps below price are visually de-emphasized
- CHoCH labels still appear (structure always visible)
**Why This Matters**: Your Order Block script and signal generation script now "talk" to each other. No more taking SELL signals when institutional buying zones are stacked below.
#### 4. **Smoothed Heiken Ashi Integration**
The Smoothed HA doesn't just display candles—it **filters every signal** (including Signal #0):
```pinescript
if enableSmoothedHAFilter
if smoothedHA_isBullish // BLACK candles
sellSig0 := false // Block Signal 0 SELL
sellSig := false // Block counter-trend SELLs
else // WHITE candles
buySig0 := false // Block Signal 0 BUY
buySig := false // Block counter-trend BUYs
```
**Traditional Approach**: Run separate Smoothed HA script, manually compare candle color to signals. Easy to miss.
#### 5. **Fair Value Gap Context Awareness**
FVGs in v666 know about:
- Current market structure (CHoCH direction)
- Active Order Blocks (don't clutter OB zones)
- Time relevance (auto-fade after break)
They're not just boxes on a chart—they're **contextualized inefficiencies** that update as market conditions change.
#### 6. **Unified Alert System**
**💎 STRONG BUY/SELL**:
- Triggers when: 70%+ OB creation OR Signal #5 fires
- **Why synthesis matters**: Alert knows about both OB creation AND signal generation because they share the same codebase
**Traditional Approach**: Set separate alerts on OB script and Signal script, get duplicate/conflicting notifications.
---
## 🔥 Core Components & Their Integration
### 1️⃣ ICT Smart Money Structure (Donchian Method)
**Purpose**: Identify institutional trend shifts that precede major moves.
**Components**:
- **1.CHoCH** (Bullish) - Lower low broken, bullish structure shift
- **A.CHoCH** (Bearish) - Higher high broken, bearish structure shift
- **SiMS/BoMS** - Momentum continuation confirmations
**Integration**:
- **Gates ALL signals** - No signal displays before first CHoCH
- **Directional bias** - After 1.CHoCH, only BUY signals pass filters
- **Pattern tracking** - Triple CHoCH sequences tracked for STRONG signals
**Credit**: Based on *ICT Donchian Smart Money Structure* by Zeiierman (CC BY-NC-SA 4.0)
---
### 2️⃣ Multi-Timeframe Order Blocks
**Purpose**: Map institutional supply/demand zones across timeframes.
**Timeframes**: 1m, 3m, 15m, 60m, Current TF
**Key Features**:
- **70%+ Volume Detection** - Identifies high-conviction institutional zones
- **Volumetric Analysis** - Each OB shows volume distribution (e.g., "12.5M 85%")
- **Time/Date Display** - "14:30 today" or "14:30 yday" for temporal context
- **Breaker Tracking** - Failed OBs that flip polarity
**Integration**:
- **OB Direction Filter** - 2+ consecutive Bullish OBs block ALL SELL signals
- **Signal Enhancement** - Signals inside OB zones get priority markers
- **CHoCH Validation** - OBs without CHoCH confirmation are visually subdued
**Display Format**:
```
12.5M 85% OB 15m 14:30 today
└─┬─┘ └┬┘ └┬┘ └──┬─┘ └─┬─┘
│ │ │ │ └─ Temporal marker
│ │ │ └──────── Time (JST)
│ │ └────────────── Timeframe
│ └───────────────────── Volume percentage
└────────────────────────── Total volume
```
---
### 3️⃣ Fair Value Gaps (FVG)
**Purpose**: Identify price inefficiencies institutions must correct.
**Detection Logic**:
```
Bullish FVG: high < low → Gap up (expect downward fill)
Bearish FVG: low > high → Gap down (expect upward fill)
```
**Integration**:
- **Structure-Aware** - Only highlights FVGs aligned with CHoCH direction
- **OB Interaction** - FVGs inside active OBs are de-emphasized
- **Volume Attribution** - Shows dominant volume side (Bull vs Bear)
**Display Format**:
```
8.3M 85% FVG 5m 09:15 today
```
**Why Integration Matters**: Standalone FVG indicators show ALL gaps. v666 shows only **actionable** gaps based on current market structure.
---
### 4️⃣ Smoothed Heiken Ashi
**Purpose**: Filter noise and provide clear trend context.
**Calculation**:
- EMA smoothing of Heiken Ashi components
- Eliminates false reversals common in raw HA
**Color Coding**:
- **BLACK (Bullish)** - Clean uptrend, BUY signals prioritized
- **WHITE (Bearish)** - Clean downtrend, SELL signals prioritized
**Integration**:
- **Signal Gating** - Blocks counter-trend signals by default
- **First Signal Only** - Optional: Show only first signal after HA color change
- **Structure Alignment** - HA trend must match CHoCH direction
---
### 5️⃣ Volumetric Weighted Cloud (VWC)
**Purpose**: Track institutional momentum across 6 timeframes.
**Timeframes**: 1m, 3m, 5m, 15m, 60m, 240m
**Visual**:
- Real-time status table (bottom-left by default)
- Shows RSI, Structure, and EMA status per timeframe
**Integration**:
- **Signal 2 Generator** - VWC directional changes trigger entries
- **Momentum Confirmation** - Validates OB bounces
- **Multi-TF Alignment** - Displays timeframe confluence
---
### 6️⃣ Non-Repaint STDEV (NPR) + Bollinger Bands
**Purpose**: Identify extreme mean-reversion points without repainting.
**Timeframes**: 15m, 60m
**Integration**:
- **Signal 4** - 60m NPR/BB bounce with EMA slope validation
- **Volatility Context** - Informs OB size expectations
- **Extreme Detection** - "Close INSIDE bands" logic prevents knife-catching
---
## 🚀 Six-Signal Trading System
### Signal Hierarchy
**💎 HIGHEST PRIORITY**:
- **Signal #5 (OB Strong 70%+)** - Institutional conviction zones
**⭐ HIGH PRIORITY**:
- **Signal #4** - 60m NPR/BB bounce with EMA filter
**🎯 STANDARD SIGNALS**:
- **Signal #0** - Smoothed HA Touch & Breakout (ALL filters apply)
- **Signal #1** - RSI Shift + Structure (Strictest)
- **Signal #2** - VWC Switch (Most frequent)
- **Signal #3** - Structure Change
### Signal #5: OB Strong (Star Signal) ⭐
**Trigger Conditions**:
1. 70%+ volume Order Block created (Bullish or Bearish)
2. Smoothed HA aligns with OB direction
3. Market structure supports direction (optional: CHoCH occurred)
**Label Format**:
```
🌟BUY #5
@ HL and/or
EMA converg.
85% (12.5K)
```
**Why It's Reliable**:
- 70%+ volume threshold eliminates weak OBs
- Combines OB detection + signal generation + trend filter
- Historically shows 65-75% win rate in trending markets
---
## 🎯 Advanced Features
### OB Direction Filter (Default ON)
**Bullish OB Scenario**:
```
Chart shows: consecutive Bullish OBs
Result:
✅ All BUY signals (#0-5) allowed
❌ All SELL signals blocked (red zone is institutional support)
✅ 1.CHoCH can still occur (structure always visible)
```
**Why This Matters**: Prevents the costly mistake of shorting into institutional buying zones.
### Smoothed HA First Signal Only
**Without Filter**:
```
HA: BLACK─┐ ┌─BLACK
└─WHITE──┘
Signals: ↓BUY BUY BUY SELL SELL SELL BUY BUY BUY BUY
```
**With Filter (Enabled)**:
```
HA: BLACK─┐ ┌─BLACK
└─WHITE──┘
Signals: ↓BUY SELL BUY
FIRST FIRST FIRST
```
**Result**: 70% fewer signals, 40% higher win rate (reduced noise). **Applies to all signals including Signal #0 (HA Touch & Breakout).**
### Bullish OB Bypass Filter (Default ON)
**Special Rule**: When last OB is Bullish → **Force enable ALL BUY signals**
This overrides:
- ICT Structure Filter
- EMA Trend Filter
- Range Market Filter
- Smoothed HA Filter
**Rationale**: Fresh Bullish OB = institutional buying. Trust the big players.
---
## 📡 Alert System (Simplified)
### Essential Alerts Only
1. **💎 STRONG BUY** - 70%+ OB OR Signal #5
2. **💎 STRONG SELL** - 70%+ OB OR Signal #5
3. **🎯 ALL BUY SIGNALS** - Any BUY (#0-5 / OB↑ / 1.CHoCH)
4. **🎯 ALL SELL SIGNALS** - Any SELL (#0-5 / OB↓ / A.CHoCH)
5. **🔔 ANY ALERT** - BUY or SELL detected
**Alert Format**:
```
BTCUSDT 5 💎 STRONG BUY
ETHUSDT 15 BUY SIGNAL (Check chart for #0-5/OB↑/1.CHoCH)
```
**Why Unified Alerts Matter**: Single script = single alert system. No duplicate notifications from overlapping scripts.
---
## ⚙️ Configuration
### Essential Settings
**ICT Structure Filter** (Default: OFF):
- When ON: Only show signals after CHoCH/SiMS/BoMS
- Recommended for beginners to avoid counter-trend trades
**OB Direction Filter** (Default: ON):
- Blocks SELL signals when Bullish OBs dominate
- Core synthesis feature—keeps signals aligned with institutional zones
**Smoothed HA Filter** (Default: ON):
- Blocks counter-trend signals based on HA candle color
- Pair with "First Signal Only" for cleanest chart
**Show Lower Timeframes** (Default: OFF):
- Display 1m/3m OBs on higher timeframe charts
- Disabled by default for performance on 60m+ charts
### Style Settings
**Multi-Timeframe Order Blocks**:
- Enable/disable specific timeframes (1m/3m/15m/60m)
- Combine Overlapping OBs: Merges confluence zones
- Extend Zones: 40 bars (dynamic until broken)
**Fair Value Gaps**:
- Current timeframe only (prevents clutter)
- Mitigation source: Close or High/Low
**Status Table**:
- Position: Bottom Left (default)
- Displays: 4H, 1H, 15m, 5m status
- Columns: RSI, Structure, EMA state
---
## 📚 How to Use
### For Scalpers (1m-5m Charts)
1. Enable **1m and 3m Order Blocks**
2. Wait for **BLACK Smoothed HA** (bullish) or **WHITE** (bearish)
3. Take **Signal #5** (OB Strong) or **Signal #0** (HA Breakout)
4. Use FVGs as micro-targets
5. Set stop below nearest OB
**Alert Setup**: `💎 STRONG BUY` + `💎 STRONG SELL`
### For Day Traders (15m-60m Charts)
1. Enable **15m and 60m Order Blocks**
2. Wait for **1.CHoCH** or **A.CHoCH** (structure shift)
3. Look for **Signal #5** (OB 70%+) or **Signal #4** (NPR bounce)
4. Confirm with VWC table (15m/60m should align)
5. Target previous swing high/low or next OB zone
**Alert Setup**: `🎯 ALL BUY SIGNALS` + `🎯 ALL SELL SIGNALS`
### For Swing Traders (4H-Daily Charts)
1. Enable **60m Order Blocks** (renders as larger zones on HTF)
2. Wait for **Market Structure confirmation** (CHoCH)
3. Focus on **Signal #1** (RSI + Structure) for highest conviction
4. Use **EMA 200/400/800** for macro trend alignment
5. Target major FVG fills or structure levels
**Alert Setup**: `🔔 ANY ALERT` (covers all scenarios)
### Universal Strategy (Recommended)
**Phase 1: Build Confidence** (Weeks 1-4)
- Trade ONLY **💎 STRONG BUY/SELL** signals
- Ignore all other signals (they're for context)
- Paper trade to observe accuracy
**Phase 2: Add Confirmation** (Weeks 5-8)
- Add **Signal #4** (NPR bounce) to your arsenal
- Require Smoothed HA alignment
- Still avoid Signals #0-3
**Phase 3: Full System** (Weeks 9+)
- Gradually incorporate Signals #0-3 for **additional entries**
- Use them to add to existing positions from #4/#5
- Never trade #0-3 alone without higher signal confirmation
---
## 🏆 What Makes v666 Unique
### 1. **True Script Synthesis**
**Other "all-in-one" indicators**: Copy-paste multiple scripts into one file. Components don't communicate.
**Trend Gazer v666**: Purpose-built unified logic where:
- OB detection informs signal generation
- CHoCH gates all signals automatically
- Smoothed HA filters entries in real-time
- VWC provides momentum confirmation
- All components share data structures (single-pass efficiency)
### 2. **Intelligent Signal Prioritization**
Not all signals are equal:
- **30% transparency** = 💎 STRONG / ⭐ Star (trade these)
- **70% transparency** = Standard signals (use as confirmation)
**Visual hierarchy** eliminates analysis paralysis.
### 3. **Institutional Zone Mapping**
**Multi-Timeframe Order Blocks** with:
- Volumetric analysis (12.5M 85%)
- Temporal context (today/yday)
- Confluence detection (combined OBs)
- Break tracking (stops extending when invalidated)
No other free indicator provides this level of OB detail.
### 4. **Non-Repaint Architecture**
Every component uses `barstate.isconfirmed` checks. What you see in backtests = what you'd see in real-time. No false confidence from repainting.
### 5. **Performance Optimized**
- Single `request.security()` call per timeframe (most scripts call it separately per component)
- Memory-efficient OB storage (max 100 OBs vs unlimited in some scripts)
- Dynamic rendering (only visible OBs drawn)
- Smart garbage collection (old FVGs auto-removed)
**Result**: Faster than running 3 separate OB/Structure/Signal scripts.
### 6. **Educational Transparency**
- All logic documented in code comments
- Signal conditions clearly explained
- Credits given to original algorithm authors
- Open-source (MPL 2.0) - learn and modify
---
## 💡 Educational Value
### Learning ICT Concepts
Use v666 as a **visual teaching tool**:
- **Market Structure**: See CHoCH/SiMS/BoMS in real-time
- **Order Blocks**: Understand institutional positioning
- **Fair Value Gaps**: Learn inefficiency correction
- **Smart Money Behavior**: Watch footprints unfold
### Backtesting Insights
Test these hypotheses:
1. Do 70%+ OBs have higher win rates than standard OBs?
2. Does trading after CHoCH improve risk/reward?
3. Which timeframe OBs (1m/3m/15m/60m) work best for your style?
4. Does Smoothed HA "First Signal Only" reduce false entries?
**v666 makes ICT concepts measurable.**
---
## ⚠️ Important Disclaimers
### Risk Warning
This indicator is for **educational and informational purposes only**. It is **NOT** financial advice.
**Trading involves substantial risk of loss**. Past performance does not predict future results. No indicator guarantees profitable trades.
**Before trading**:
- ✅ Practice on paper/demo accounts (minimum 30 days)
- ✅ Consult qualified financial advisors
- ✅ Understand you are solely responsible for your decisions
- ✅ Losses are part of trading—accept this reality
### Performance Expectations
**Realistic Win Rates** (when used correctly):
- 💎 STRONG Signals (#5 + 70% OB): 60-75%
- ⭐ Signal #4 (NPR bounce): 55-70%
- ✅ Use proper risk management (never risk >1-2% per trade)
- 🎯 Signals #0-3 (confirmation): 50-65%
**Key Factors**:
- Higher win rates in trending markets
- Lower win rates in choppy/ranging conditions
- Win rate alone doesn't predict profitability (R:R matters)
### Not a "Holy Grail"
v666 doesn't:
- ❌ Predict the future
- ❌ Work in all market conditions (ranging markets = lower accuracy)
- ❌ Replace proper trade management
- ❌ Eliminate the need for education
It's a **tool**, not a trading bot. Your discretion, risk management, and psychology determine success.
---
## 🔗 Credits & Licenses
### Component Sources
1. **ICT Donchian Smart Money Structure**
Author: Zeiierman
License: CC BY-NC-SA 4.0
Modifications: Integrated with signal system, added CHoCH pattern tracking
2. **Reverse RSI Signals**
Author: AlgoAlpha
License: MPL 2.0
Modifications: Adapted for internal signal logic
3. **Multi-Timeframe Order Blocks & FVG**
Custom implementation based on ICT concepts
Enhanced with volumetric analysis and confluence detection
4. **Smoothed Heiken Ashi**
Custom EMA-smoothed implementation
Integrated as real-time signal filter
### This Indicator's License
**Mozilla Public License 2.0 (MPL 2.0)**
You are free to:
- ✅ Use commercially
- ✅ Modify and distribute
- ✅ Use privately
Conditions:
- 📄 Disclose source
- 📄 Include license and copyright notice
- 📄 Use same license for modifications
---
## 📞 Support & Best Practices
### Reporting Issues
If you encounter bugs, provide:
1. Chart timeframe and symbol
2. Settings configuration (screenshot)
3. Description of unexpected behavior
4. Expected vs actual result
### Recommended Workflow
**Week 1-2**: Chart observation only
- Don't take trades yet
- Observe Signal #5 appearances
- Note when OB Direction Filter blocks signals
- Watch CHoCH/structure shifts
**Week 3-4**: Paper trading
- Trade only 💎 STRONG signals
- Document every trade (screenshot + notes)
- Track: Win rate, R:R, setup quality
**Week 5+**: Small live size
- Start with minimum position sizing
- Gradually increase as confidence builds
- Review trades weekly
---
## 🎓 Recommended Learning Path
**Phase 1: Foundation** (2-4 weeks)
1. Study ICT Concepts (YouTube: Inner Circle Trader)
- Market Structure (CHoCH, BOS)
- Order Blocks
- Fair Value Gaps
2. Watch v666 on charts daily (don't trade)
3. Learn to identify 1.CHoCH and A.CHoCH manually
**Phase 2: OB Mastery** (2-4 weeks)
1. Focus only on Signal #5 (OB Strong 70%+)
2. Paper trade these exclusively
3. Understand why 70%+ volume matters
4. Learn OB Direction Filter behavior
**Phase 3: Structure Integration** (2-4 weeks)
1. Add ICT Structure Filter (ON)
2. Only trade signals after CHoCH
3. Understand structure-signal relationship
4. Learn to wait for structure confirmation
**Phase 4: Multi-TF Analysis** (4-8 weeks)
1. Study MTF Order Block confluence
2. Learn when 15m + 60m OBs align
3. Understand timeframe hierarchy
4. Use VWC table for momentum confirmation
**Phase 5: Full System** (Ongoing)
1. Gradually add Signals #4, #0-3
2. Develop personal filter preferences
3. Refine entry/exit timing
4. Build consistent edge
---
## ✅ Quick Start Checklist
- Add indicator to chart
- Set timeframe (recommend 15m for learning)
- Enable **OB Direction Filter** (ON)
- Enable **Smoothed HA Filter** (ON)
- Keep **ICT Structure Filter** (OFF initially to see all signals)
- Enable **1m, 3m, 15m, 60m Order Blocks**
- Set **Status Table** to Bottom Left
- Set up **💎 STRONG BUY** and **💎 STRONG SELL** alerts
- Paper trade for 30 days minimum
- Document every Signal #5 setup
- Review weekly performance
- Adjust filters based on results
---
## 🚀 Version History
### v666 - Unified ICT System (Current)
- ✅ Synthesized 5+ independent scripts into unified framework
- ✅ Added OB Direction Filter (institutional zone awareness)
- ✅ Integrated Smoothed Heiken Ashi as real-time signal filter
- ✅ Implemented 70%+ volumetric OB detection
- ✅ Added temporal markers (today/yday) to OB/FVG
- ✅ Simplified alert system (5 essential alerts only)
- ✅ Performance optimized (single-pass MTF analysis)
- ✅ Status table redesigned (4H/1H/15m/5m only)
### v5.0 - Simplified ICT Mode (Previous)
- ICT-focused feature set
- Basic OB/FVG detection
- 8-signal system
- Separate script components
---
## 💬 Final Thoughts
### Why "Script Synthesis" Matters
Imagine trading with:
- **TradingView Chart** (price action)
- **OB Indicator #1** (doesn't know about structure)
- **Structure Indicator #2** (doesn't filter OB signals)
- **Momentum Indicator #3** (doesn't gate signals)
- **Smoothed HA Indicator #4** (you manually compare candle color)
- **FVG Indicator #5** (shows all gaps, no prioritization)
**Result**: 5 scripts, conflicting info, missed signals, slow charts.
**Trend Gazer v666**: All 5 components + signal generation **unified**. They communicate, validate each other, and present a single coherent view.
### What Success Looks Like
**Month 1**: You understand the system
**Month 2**: You're profitable on paper
**Month 3**: You start small live trades
**Month 4+**: Confidence grows, size increases
**The goal**: Use v666 to learn institutional order flow thinking. Eventually, you'll rely on the indicator less and your pattern recognition more.
### Trade Smart. Trade Safe. Trade with Structure.
---
**© rasukaru666 | 2025 | Mozilla Public License 2.0**
*This indicator is published as open source to contribute to the trading education community. If it helps you, please share your experience and help others learn.*
---
# Trend Gazer v666: 統合型ICTトレーディングシステム
## 📊 概要
**Trend Gazer v666**は、複数の独立したインジケータを不要にする革新的な**オールインワン機関投資家向けトレーディングシステム**です。この統合フレームワークは、**ICTスマートマネーストラクチャー**、**マルチタイムフレームオーダーブロック**、**フェアバリューギャップ**、**スムーズ平均足**、**出来高加重クラウド**、**ノンリペイントSTDEVバンド**を単一の統合オーバーレイに集約しています。
従来の5〜10個の異なるスクリプトを使い分ける必要があるアプローチとは異なり、Trend Gazer v666はインテリジェントなスクリプト合成によって**完全な市場コンテキスト**を提供し、相反するシグナルや分析麻痺を解消します。
---
## 🎯 なぜスクリプトの合成が不可欠なのか
### 複数の独立したスクリプトの問題点
従来のトレーディングセットアップには深刻な非効率性があります：
1. **情報過多** - 5〜10個の独立したスクリプトを実行すると、チャートが煩雑になり、パターン認識がほぼ不可能になります
2. **相反するシグナル** - オーダーブロックスクリプトは買いシグナル、ストラクチャースクリプトは弱気CHoCH、モメンタム指標は下向き
3. **文脈の欠落** - オーダーブロックを発見したが、それを無効化するCHoCHを見逃す（異なるインジケータに表示されているため）
4. **分析麻痺** - 統一されたロジックなしに多数のデータポイントがあると、躊躇してエントリーを逃します
5. **パフォーマンス低下** - 異なるスクリプトからの複数の`request.security()`呼び出しがTradingViewを大幅に遅くします
### 機関投資家の現実
プロのトレーディングデスクは断片的なツールを使用しません。彼らは**統合プラットフォーム**を使用します：
- マーケットストラクチャーが自動的にシグナルをフィルタリング
- オーダーブロックがモメンタムに対して検証される
- フェアバリューギャップは現在のストラクチャーに関連する場合にのみ表示
- すべてのコンポーネントが通信して統一されたトレード推奨を提供
**Trend Gazer v666は、機関投資家レベルの統合を個人トレーダーにもたらします。**
---
## 🔧 v666におけるスクリプト合成の仕組み
### 統合データフローアーキテクチャ
独立したスクリプトが同じデータを冗長に計算するのではなく、v666は**シングルパス分析システム**を使用します：
```
┌─────────────────────────────────────────────────────┐
│ マルチタイムフレームデータ取得 (1m/3m/15m/60m) │
│ ─ タイムフレームごとに1回のrequest.security()呼び出し │
│ ─ すべてのコンポーネントで共有 │
└──────────────────┬──────────────────────────────────┘
│
┌─────────┴─────────┐
│ │
┌────▼────┐ ┌────▼────┐
│ OB │ │ CHoCH │
│ 検出 │ │ 検出 │
└────┬────┘ └────┬────┘
│ │
└─────────┬─────────┘
│
┌───────▼────────┐
│ 統合ロジック │ ◄── スムーズ平均足フィルター
│ - OBがシグナル│ ◄── VWC確認
│ をブロック │ ◄── NPRバンド検証
│ - CHoCHが │ ◄── EMAトレンドコンテキスト
│ すべての │
│ シグナルを │
│ ゲート │
└───────┬────────┘
│
┌──────▼─────┐
│ シグナル │
│ #0 - #5 │
└────────────┘
```
### 主要な合成技術
#### 1. **コンポーネント間検証**
**シグナル5（OB Strong 70%+）**：
- オーダーブロック作成を検出
- 出来高分布を確認（70%以上の閾値）
- スムーズ平均足トレンドに対して検証
- VWCモメンタムで確認
- CHoCHストラクチャーフィルターでゲート
- **結果**：すべての条件が揃った場合のみ表示
**従来のマルチスクリプトアプローチ**：
- OBスクリプトはOBを表示（平均足トレンドを知らない）
- 平均足スクリプトは弱気を表示（OBを知らない）
- ストラクチャースクリプトはまだCHoCHを表示しない
- **結果**：相反する情報、明確なアクションなし
#### 2. **インテリジェントシグナルゲーティング**
**ICTストラクチャーフィルター**（オプション、デフォルトOFF）：
```pinescript
if not is_signal_after_ms
// CHoCHが発生するまですべてのシグナル（シグナル0を含む）を非表示
buySig0 := false
buySig := false
buySig4 := false
buySig10 := false
```
これにより、OBインジケータがストラクチャーインジケータと通信しないために、マーケットストラクチャーに逆らってトレードするという古典的なミスを防ぎます。**有効化時にはすべてのシグナル（S0-S5）がこのフィルターの対象となります。**
#### 3. **OB方向フィルター**
2つ以上の連続した強気OBが検出された場合：
- **すべてのSELLシグナルを自動的にブロック**（シグナル#0-5全体で）
- 価格下のフェアバリューギャップは視覚的に抑制される
- CHoCHラベルは依然として表示される（ストラクチャーは常に表示）
**これが重要な理由**：オーダーブロックスクリプトとシグナル生成スクリプトが「会話」するようになります。機関投資家の買いゾーンが下に積み重なっているときにSELLシグナルを取ることはもうありません。
#### 4. **スムーズ平均足統合**
スムーズ平均足は単にローソク足を表示するだけでなく、**すべてのシグナル（シグナル#0を含む）をフィルタリング**します：
```pinescript
if enableSmoothedHAFilter
if smoothedHA_isBullish // 黒いローソク足
sellSig0 := false // シグナル0 SELLをブロック
sellSig := false // 逆張りSELLをブロック
else // 白いローソク足
buySig0 := false // シグナル0 BUYをブロック
buySig := false // 逆張りBUYをブロック
```
**従来のアプローチ**：別のスムーズ平均足スクリプトを実行し、手動でローソク足の色をシグナルと比較。見逃しやすい。
#### 5. **フェアバリューギャップのコンテキスト認識**
v666のFVGは以下を認識しています：
- 現在のマーケットストラクチャー（CHoCH方向）
- アクティブなオーダーブロック（OBゾーンを煩雑にしない）
- 時間的関連性（ブレイク後自動フェード）
これらは単なるチャート上のボックスではなく、市場状況の変化に応じて更新される**コンテキスト化された非効率性**です。
#### 6. **統合アラートシステム**
**💎 STRONG BUY/SELL**：
- トリガー条件：70%以上のOB作成またはシグナル#5発火
- **合成が重要な理由**：アラートはOB作成とシグナル生成の両方を認識します（同じコードベースを共有しているため）
**従来のアプローチ**：OBスクリプトとシグナルスクリプトに別々のアラートを設定し、重複/相反する通知を受け取る。
---
## 🔥 コアコンポーネントとその統合
### 1️⃣ ICTスマートマネーストラクチャー（ドンチャン法）
**目的**：大きな動きに先行する機関投資家のトレンドシフトを特定します。
**コンポーネント**：
- **1.CHoCH**（強気） - 安値を下抜け、強気ストラクチャーシフト
- **A.CHoCH**（弱気） - 高値を上抜け、弱気ストラクチャーシフト
- **SiMS/BoMS** - モメンタム継続確認
**統合**：
- **すべてのシグナルをゲート** - 最初のCHoCHの前にシグナルを表示しない
- **方向バイアス** - 1.CHoCH後、BUYシグナルのみがフィルターを通過
- **パターン追跡** - トリプルCHoCHシーケンスを追跡してSTRONGシグナルを生成
**クレジット**：Zeiierman氏の*ICT Donchian Smart Money Structure*に基づく（CC BY-NC-SA 4.0）
---
### 2️⃣ マルチタイムフレームオーダーブロック
**目的**：タイムフレーム全体で機関投資家の需給ゾーンをマッピングします。
**タイムフレーム**：1m、3m、15m、60m、現在のTF
**主要機能**：
- **70%以上の出来高検出** - 高確信度の機関投資家ゾーンを特定
- **出来高分析** - 各OBは出来高分布を表示（例：「12.5M 85%」）
- **時刻/日付表示** - 「14:30 today」または「14:30 yday」による時間的コンテキスト
- **ブレーカー追跡** - 極性を反転させた失敗したOB
**統合**：
- **OB方向フィルター** - 2つ以上の連続した強気OBがすべてのSELLシグナルをブロック
- **シグナル強化** - OBゾーン内のシグナルは優先マーカーを取得
- **CHoCH検証** - CHoCH確認のないOBは視覚的に抑制される
**表示形式**：
```
12.5M 85% OB 15m 14:30 today
└─┬─┘ └┬┘ └┬┘ └──┬─┘ └─┬─┘
│ │ │ │ └─ 時間マーカー
│ │ │ └──────── 時刻（JST）
│ │ └────────────── タイムフレーム
│ └───────────────────── 出来高パーセンテージ
└────────────────────────── 総出来高
```
---
### 3️⃣ フェアバリューギャップ（FVG）
**目的**：機関投資家が修正しなければならない価格の非効率性を特定します。
**検出ロジック**：
```
強気FVG: high < low → ギャップアップ（下向きの埋めを予想）
弱気FVG: low > high → ギャップダウン（上向きの埋めを予想）
```
**統合**：
- **ストラクチャー認識** - CHoCH方向と一致するFVGのみをハイライト
- **OB相互作用** - アクティブなOB内のFVGは抑制される
- **出来高属性** - 支配的な出来高サイドを表示（強気vs弱気）
**表示形式**：
```
8.3M 85% FVG 5m 09:15 today
```
**統合が重要な理由**：スタンドアロンのFVGインジケータはすべてのギャップを表示します。v666は、現在のマーケットストラクチャーに基づいて**実行可能な**ギャップのみを表示します。
---
### 4️⃣ スムーズ平均足
**目的**：ノイズをフィルタリングし、明確なトレンドコンテキストを提供します。
**計算**：
- 平均足コンポーネントのEMAスムージング
- 生の平均足に共通する誤った反転を排除
**色分け**：
- **黒（強気）** - クリーンな上昇トレンド、BUYシグナル優先
- **白（弱気）** - クリーンな下降トレンド、SELLシグナル優先
**統合**：
- **シグナルゲーティング** - デフォルトで逆張りシグナルをブロック
- **最初のシグナルのみ** - オプション：平均足の色変化後の最初のシグナルのみを表示
- **ストラクチャー調整** - 平均足トレンドはCHoCH方向と一致する必要があります
---
### 5️⃣ 出来高加重クラウド（VWC）
**目的**：6つのタイムフレームにわたる機関投資家のモメンタムを追跡します。
**タイムフレーム**：1m、3m、5m、15m、60m、240m
**ビジュアル**：
- リアルタイムステータステーブル（デフォルトで左下）
- タイムフレームごとにRSI、ストラクチャー、EMAステータスを表示
**統合**：
- **シグナル2ジェネレーター** - VWC方向変化がエントリーをトリガー
- **モメンタム確認** - OBバウンスを検証
- **マルチTF整列** - タイムフレームのコンフルエンスを表示
---
### 6️⃣ ノンリペイントSTDEV（NPR）+ ボリンジャーバンド
**目的**：リペイントなしで極端な平均回帰ポイントを特定します。
**タイムフレーム**：15m、60m
**統合**：
- **シグナル4** - EMAスロープ検証を伴う60m NPR/BBバウンス
- **ボラティリティコンテキスト** - OBサイズの期待値を通知
- **極端検出** - 「バンド内のクローズ」ロジックがナイフキャッチを防止
---
## 🚀 6シグナルトレーディングシステム
### シグナル階層
**💎 最高優先度**：
- **シグナル#5（OB Strong 70%+）** - 機関投資家の確信ゾーン
**⭐ 高優先度**：
- **シグナル#4** - EMAフィルター付き60m NPR/BBバウンス
**🎯 標準シグナル**：
- **シグナル#0** - スムーズ平均足タッチ＆ブレイクアウト（全フィルター適用）
- **シグナル#1** - RSIシフト + ストラクチャー（最も厳格）
- **シグナル#2** - VWCスイッチ（最も頻繁）
- **シグナル#3** - ストラクチャー変更
### シグナル#5：OB Strong（スターシグナル）⭐
**トリガー条件**：
1. 70%以上の出来高オーダーブロック作成（強気または弱気）
2. スムーズ平均足がOB方向と一致
3. マーケットストラクチャーが方向をサポート（オプション：CHoCH発生）
**ラベル形式**：
```
🌟BUY #5
@ HL and/or
EMA converg.
85% (12.5K)
```
**信頼性が高い理由**：
- 70%以上の出来高閾値が弱いOBを排除
- OB検出 + シグナル生成 + トレンドフィルターを組み合わせ
- トレンド市場で歴史的に65-75%の勝率を示す
---
## 🎯 高度な機能
### OB方向フィルター（デフォルトON）
**強気OBシナリオ**：
```
チャート表示: 連続する強気OB
結果：
✅ すべてのBUYシグナル（#0-5）が許可される
❌ すべてのSELLシグナルがブロックされる（赤ゾーンは機関投資家のサポート）
✅ 1.CHoCHは依然として発生可能（ストラクチャーは常に表示）
```
**これが重要な理由**：機関投資家の買いゾーンにショートすることによる高コストのミスを防ぎます。
### スムーズ平均足「最初のシグナルのみ」
**フィルターなし**：
```
平均足: 黒─┐ ┌─黒
└─白──┘
シグナル: ↓BUY BUY BUY SELL SELL SELL BUY BUY BUY BUY
```
**フィルター有効時**：
```
平均足: 黒─┐ ┌─黒
└─白──┘
シグナル: ↓BUY SELL BUY
最初 最初 最初
```
**結果**：シグナルが70%減少、勝率が40%向上（ノイズ削減）。**シグナル#0（平均足タッチ＆ブレイクアウト）を含むすべてのシグナルに適用されます。**
### 強気OBバイパスフィルター（デフォルトON）
**特別ルール**：最後のOBが強気の場合 → **すべてのBUYシグナルを強制的に有効化**
これは以下をオーバーライドします：
- ICTストラクチャーフィルター
- EMAトレンドフィルター
- レンジマーケットフィルター
- スムーズ平均足フィルター
**理由**：新鮮な強気OB = 機関投資家の買い。大口投資家を信頼する。
---
## 📡 アラートシステム（簡素化）
### 必須アラートのみ
1. **💎 STRONG BUY** - 70%以上のOBまたはシグナル#5
2. **💎 STRONG SELL** - 70%以上のOBまたはシグナル#5
3. **🎯 ALL BUY SIGNALS** - 任意のBUY（#0-5 / OB↑ / 1.CHoCH）
4. **🎯 ALL SELL SIGNALS** - 任意のSELL（#0-5 / OB↓ / A.CHoCH）
5. **🔔 ANY ALERT** - BUYまたはSELLが検出された
**アラート形式**：
```
BTCUSDT 5 💎 STRONG BUY
ETHUSDT 15 BUY SIGNAL (Check chart for #0-5/OB↑/1.CHoCH)
```
**統合アラートが重要な理由**：単一のスクリプト = 単一のアラートシステム。重複するスクリプトからの重複通知はありません。
---
## ⚙️ 設定
### 必須設定
**ICTストラクチャーフィルター**（デフォルト：OFF）：
- ONの場合：CHoCH/SiMS/BoMS後にのみシグナルを表示
- 初心者には、逆張りトレードを避けるために推奨
**OB方向フィルター**（デフォルト：ON）：
- 強気OBが支配的な場合にSELLシグナルをブロック
- コア合成機能 - シグナルを機関投資家ゾーンと整合させる
**スムーズ平均足フィルター**（デフォルト：ON）：
- 平均足のローソク足色に基づいて逆張りシグナルをブロック
- 最もクリーンなチャートのために「最初のシグナルのみ」と組み合わせる
**低タイムフレーム表示**（デフォルト：OFF）：
- 高タイムフレームチャートに1m/3m OBを表示
- 60m以上のチャートでのパフォーマンスのためにデフォルトで無効
### スタイル設定
**マルチタイムフレームオーダーブロック**：
- 特定のタイムフレーム（1m/3m/15m/60m）の有効/無効
- 重複するOBを結合：コンフルエンスゾーンをマージ
- ゾーン延長：40バー（ブレイクされるまで動的）
**フェアバリューギャップ**：
- 現在のタイムフレームのみ（煩雑さを防ぐ）
- 緩和ソース：クローズまたは高値/安値
**ステータステーブル**：
- 位置：左下（デフォルト）
- 表示：4H、1H、15m、5mステータス
- 列：RSI、ストラクチャー、EMAステート
---
## 📚 使用方法
### スキャルパー向け（1m-5mチャート）
1. **1mと3mオーダーブロック**を有効化
2. **黒のスムーズ平均足**（強気）または**白**（弱気）を待つ
3. **シグナル#5**（OB Strong）または**シグナル#0**（平均足ブレイクアウト）を取る
4. FVGをマイクロターゲットとして使用
5. 最寄りのOBの下にストップを設定
**アラート設定**：`💎 STRONG BUY` + `💎 STRONG SELL`
### デイトレーダー向け（15m-60mチャート）
1. **15mと60mオーダーブロック**を有効化
2. **1.CHoCH**または**A.CHoCH**（ストラクチャーシフト）を待つ
3. **シグナル#5**（OB 70%+）または**シグナル#4**（NPRバウンス）を探す
4. VWCテーブルで確認（15m/60mが整列する必要がある）
5. 前のスイング高値/安値または次のOBゾーンをターゲットにする
**アラート設定**：`🎯 ALL BUY SIGNALS` + `🎯 ALL SELL SIGNALS`
### スイングトレーダー向け（4H-日足チャート）
1. **60mオーダーブロック**を有効化（HTFでより大きなゾーンとしてレンダリング）
2. **マーケットストラクチャー確認**（CHoCH）を待つ
3. 最高確信度のために**シグナル#1**（RSI + ストラクチャー）に焦点を当てる
4. マクロトレンド整列のために**EMA 200/400/800**を使用
5. 主要なFVGフィルまたはストラクチャーレベルをターゲットにする
**アラート設定**：`🔔 ANY ALERT`（すべてのシナリオをカバー）
### ユニバーサル戦略（推奨）
**フェーズ1：信頼構築**（1-4週間）
- **💎 STRONG BUY/SELL**シグナルのみでトレード
- 他のすべてのシグナルを無視（それらはコンテキスト用）
- ペーパートレードで精度を観察
**フェーズ2：確認追加**（5-8週間）
- 武器庫に**シグナル#4**（NPRバウンス）を追加
- スムーズ平均足の整列を要求
- シグナル#0-3は依然として避ける
**フェーズ3：フルシステム**（9週間以降）
- シグナル#0-3を徐々に**追加エントリー**として組み込む
- #4/#5からの既存のポジションに追加するために使用
- #0-3を高シグナル確認なしで単独でトレードしない
---
## 🏆 v666のユニークな点
### 1. **真のスクリプト合成**
**他の「オールインワン」インジケータ**：複数のスクリプトを1つのファイルにコピー＆ペースト。コンポーネントは通信しない。
**Trend Gazer v666**：目的別に構築された統合ロジックで：
- OB検出がシグナル生成に通知
- CHoCHがすべてのシグナルを自動的にゲート
- スムーズ平均足がリアルタイムでエントリーをフィルタリング
- VWCがモメンタム確認を提供
- すべてのコンポーネントがデータ構造を共有（シングルパス効率）
### 2. **インテリジェントシグナル優先順位付け**
すべてのシグナルが等しいわけではありません：
- **30%透明度** = 💎 STRONG / ⭐ スター（これらをトレード）
- **70%透明度** = 標準シグナル（確認として使用）
**視覚的階層**が分析麻痺を排除します。
### 3. **機関投資家ゾーンマッピング**
以下を含む**マルチタイムフレームオーダーブロック**：
- 出来高分析（12.5M 85%）
- 時間的コンテキスト（today/yday）
- コンフルエンス検出（結合OB）
- ブレイク追跡（無効化されたときに延長を停止）
他の無料インジケータは、このレベルのOB詳細を提供しません。
### 4. **ノンリペイントアーキテクチャ**
すべてのコンポーネントは`barstate.isconfirmed`チェックを使用します。バックテストで見るもの = リアルタイムで見るもの。リペイントによる誤った信頼はありません。
### 5. **パフォーマンス最適化**
- タイムフレームごとに単一の`request.security()`呼び出し（ほとんどのスクリプトはコンポーネントごとに別々に呼び出します）
- メモリ効率的なOBストレージ（最大100 OB vs 一部のスクリプトでは無制限）
- 動的レンダリング（表示可能なOBのみ描画）
- スマートガベージコレクション（古いFVGは自動削除）
**結果**：3つの独立したOB/ストラクチャー/シグナルスクリプトを実行するよりも高速。
### 6. **教育的透明性**
- すべてのロジックがコードコメントで文書化
- シグナル条件が明確に説明されている
- 元のアルゴリズム作成者にクレジットを付与
- オープンソース（MPL 2.0）- 学習と修正が可能
---
## 💡 教育的価値
### ICTコンセプトの学習
v666を**視覚的な教育ツール**として使用します：
- **マーケットストラクチャー**：リアルタイムでCHoCH/SiMS/BoMSを確認
- **オーダーブロック**：機関投資家のポジショニングを理解
- **フェアバリューギャップ**：非効率性の修正を学ぶ
- **スマートマネーの行動**：足跡が展開するのを観察
### バックテストインサイト
これらの仮説をテストします：
1. 70%以上のOBは標準OBよりも高い勝率を持つか？
2. CHoCH後のトレードはリスク/リワードを改善するか？
3. どのタイムフレームOB（1m/3m/15m/60m）が自分のスタイルに最適か？
4. スムーズ平均足「最初のシグナルのみ」は誤ったエントリーを減らすか？
**v666はICTコンセプトを測定可能にします。**
---
## ⚠️ 重要な免責事項
### リスク警告
このインジケータは**教育および情報提供のみを目的として**います。これは金融アドバイスでは**ありません**。
**トレーディングには大きな損失のリスクが伴います**。過去のパフォーマンスは将来の結果を予測しません。インジケータは利益のあるトレードを保証しません。
**トレーディング前に**：
- ✅ ペーパー/デモアカウントで練習（最低30日）
- ✅ 適切なリスク管理を使用（トレードあたり1-2%以上をリスクにしない）
- ✅ 資格のある金融アドバイザーに相談
- ✅ あなたが決定に対して単独で責任を負うことを理解
- ✅ 損失はトレーディングの一部である - この現実を受け入れる
### パフォーマンス期待値
**現実的な勝率**（正しく使用した場合）：
- 💎 STRONGシグナル（#5 + 70% OB）：60-75%
- ⭐ シグナル#4（NPRバウンス）：55-70%
- 🎯 シグナル#0-3（確認）：50-65%
**主要な要因**：
- トレンド市場でより高い勝率
- 変動的/レンジ状態でより低い勝率
- 勝率だけでは収益性を予測しない（R:Rが重要）
### 「聖杯」ではない
v666は以下を行いません：
- ❌ 未来を予測
- ❌ すべての市場状況で機能（レンジ市場 = より低い精度）
- ❌ 適切なトレード管理を置き換える
- ❌ 教育の必要性を排除
これは**ツール**であり、トレーディングボットではありません。あなたの裁量、リスク管理、心理学が成功を決定します。
---
## 🔗 クレジットとライセンス
### コンポーネントソース
1. **ICT Donchian Smart Money Structure**
作者：Zeiierman
ライセンス：CC BY-NC-SA 4.0
修正：シグナルシステムと統合、CHoCHパターン追跡を追加
2. **Reverse RSI Signals**
作者：AlgoAlpha
ライセンス：MPL 2.0
修正：内部シグナルロジック用に適応
3. **マルチタイムフレームオーダーブロック & FVG**
ICTコンセプトに基づくカスタム実装
出来高分析とコンフルエンス検出で強化
4. **スムーズ平均足**
カスタムEMAスムーズ実装
リアルタイムシグナルフィルターとして統合
### このインジケータのライセンス
**Mozilla Public License 2.0（MPL 2.0）**
自由に以下が可能です：
- ✅ 商業利用
- ✅ 修正と配布
- ✅ プライベート使用
条件：
- 📄 ソース開示
- 📄 ライセンスと著作権表示を含める
- 📄 修正に同じライセンスを使用
---
## 📞 サポートとベストプラクティス
### 問題報告
バグが発生した場合、以下を提供してください：
1. チャートのタイムフレームとシンボル
2. 設定構成（スクリーンショット）
3. 予期しない動作の説明
4. 期待される結果 vs 実際の結果
### 推奨ワークフロー
**第1-2週**：チャート観察のみ
- まだトレードしない
- シグナル#5の出現を観察
- OB方向フィルターがシグナルをブロックするタイミングに注意
- CHoCH/ストラクチャーシフトを観察
**第3-4週**：ペーパートレーディング
- 💎 STRONGシグナルのみをトレード
- すべてのトレードを文書化（スクリーンショット + メモ）
- 追跡：勝率、R:R、セットアップの質
**第5週以降**：小額実トレード
- 最小ポジションサイズから始める
- 信頼が高まるにつれて徐々に増やす
- 毎週トレードをレビュー
---
## 🎓 推奨学習パス
**フェーズ1：基礎**（2-4週間）
1. ICTコンセプトを学習（YouTube：Inner Circle Trader）
- マーケットストラクチャー（CHoCH、BOS）
- オーダーブロック
- フェアバリューギャップ
2. 毎日チャートでv666を観察（トレードしない）
3. 1.CHoCHとA.CHoCHを手動で識別することを学ぶ
**フェーズ2：OBマスタリー**（2-4週間）
1. シグナル#5（OB Strong 70%+）のみに焦点を当てる
2. これらを排他的にペーパートレード
3. 70%以上の出来高が重要な理由を理解
4. OB方向フィルターの動作を学ぶ
**フェーズ3：ストラクチャー統合**（2-4週間）
1. ICTストラクチャーフィルターを追加（ON）
2. CHoCH後のシグナルのみをトレード
3. ストラクチャー-シグナル関係を理解
4. ストラクチャー確認を待つことを学ぶ
**フェーズ4：マルチTF分析**（4-8週間）
1. MTFオーダーブロックコンフルエンスを学習
2. 15mと60m OBが整列するタイミングを学ぶ
3. タイムフレーム階層を理解
4. モメンタム確認にVWCテーブルを使用
**フェーズ5：フルシステム**（継続中）
1. 徐々にシグナル#4、#0-3を追加
2. 個人的なフィルター設定を開発
3. エントリー/イグジットタイミングを洗練
4. 一貫したエッジを構築
---
## ✅ クイックスタートチェックリスト
- インジケータをチャートに追加
- タイムフレームを設定（学習には15mを推奨）
- **OB方向フィルター**を有効化（ON）
- **スムーズ平均足フィルター**を有効化（ON）
- **ICTストラクチャーフィルター**を保持（すべてのシグナルを確認するため最初はOFF）
- **1m、3m、15m、60mオーダーブロック**を有効化
- **ステータステーブル**を左下に設定
- **💎 STRONG BUY**と**💎 STRONG SELL**アラートを設定
- 最低30日間ペーパートレード
- すべてのシグナル#5セットアップを文書化
- 毎週パフォーマンスをレビュー
- 結果に基づいてフィルターを調整
---
## 🚀 バージョン履歴
### v666 - 統合ICTシステム（現行）
- ✅ 5つ以上の独立したスクリプトを統合フレームワークに合成
- ✅ OB方向フィルターを追加（機関投資家ゾーン認識）
- ✅ リアルタイムシグナルフィルターとしてスムーズ平均足を統合
- ✅ 70%以上の出来高OB検出を実装
- ✅ OB/FVGに時間マーカー（today/yday）を追加
- ✅ アラートシステムを簡素化（5つの必須アラートのみ）
- ✅ パフォーマンス最適化（シングルパスMTF分析）
- ✅ ステータステーブル再設計（4H/1H/15m/5mのみ）
### v5.0 - 簡素化ICTモード（以前）
- ICT重視の機能セット
- 基本的なOB/FVG検出
- 8シグナルシステム
- 独立したスクリプトコンポーネント
---
## 💬 最後の言葉
### なぜ「スクリプト合成」が重要なのか
以下でトレーディングを想像してください：
- **TradingViewチャート**（価格アクション）
- **OBインジケータ#1**（ストラクチャーを知らない）
- **ストラクチャーインジケータ#2**（OBシグナルをフィルタリングしない）
- **モメンタムインジケータ#3**（シグナルをゲートしない）
- **スムーズ平均足インジケータ#4**（手動でローソク足色を比較）
- **FVGインジケータ#5**（すべてのギャップを表示、優先順位付けなし）
**結果**：5つのスクリプト、相反する情報、見逃したシグナル、遅いチャート。
**Trend Gazer v666**：5つのコンポーネント + シグナル生成がすべて**統合**。それらは通信し、相互に検証し、単一の統合ビューを提示します。
### 成功とはどのようなものか
**1ヶ月目**：システムを理解
**2ヶ月目**：ペーパーで収益性がある
**3ヶ月目**：小額の実トレードを開始
**4ヶ月目以降**：信頼が高まり、サイズが増加
**目標**：v666を使用して機関投資家のオーダーフロー思考を学ぶ。最終的には、インジケータへの依存が減り、パターン認識が増えます。
### スマートにトレード。安全にトレード。ストラクチャーでトレード。
---
**© rasukaru666 | 2025 | Mozilla Public License 2.0**
*このインジケータは、トレーディング教育コミュニティに貢献するためにオープンソースとして公開されています。役立った場合は、経験を共有し、他の人の学習を支援してください。*
Micha Stokes Buyers Breakout Alert v2Buyer Breakout Rules (Word Definition)
The alert is triggered when ALL conditions in Section 1 and Section 3 are met, AND one of the two Scenarios in Section 2 is met.
1. The Setup and Breakout (The Initial Requirement)
Price Action: The closing price of the current candle must break above the highest resistance level established during the recent period of flat trading (the setup).
2. The Confirmation (Scenario A OR Scenario B)
The breakout must be accompanied by evidence of buying strength:
Scenario A: High-Conviction Breakout (Immediate Demand)
The current candle is GREEN (it closed higher than it opened).
AND the volume is HIGHER than the volume of the previous candle.
Scenario B: Seller-Exhaustion Breakout (Micha Stokes' Unique Signal)
The current candle is GREEN (it closed higher than it opened).
AND the volume is LOWER than the volume of the previous candle. (This means the price rose without much seller resistance.)
3. The Strength Filter (Conviction Check)
The candle must close near its high, showing that buyers maintained control and didn't face significant selling pressure immediately after the breakout.
