Structure Break + Confirmation (First Signal Only)Swing Detection:
A Swing High is detected when the high of the central candle (based on a lookback period) is greater than the highs of the candles before and after.
A Swing Low is detected when the low of the central candle is lower than the lows of the candles before and after.
Break of Structure (BOS):
A BOS Up is confirmed when a candle closes above the most recent swing high (with a body close).
A BOS Down is confirmed when a candle closes below the most recent swing low.
Confirmation (CONF):
A CONF Up is triggered when price makes a new high after a BOS Up.
A CONF Down is triggered when price makes a new low after a BOS Down.
Only the first confirmation after a BOS is plotted.
Visuals:
Cross marks (×) are plotted at swing points.
BOS signals are shown with green (up) and red (down) labels.
CONF signals are shown with lime (up) and orange (down) triangle markers.
Dotted lines are drawn at the levels of broken swing highs/lows.
חפש סקריפטים עבור "BOS"
SMC Strategy BTC 1H - OB/FVGGeneral Context
This strategy is based on Smart Money Concepts (SMC), in particular:
The bullish Break of Structure (BOS), indicating a possible reversal or continuation of an upward trend.
The detection of Order Blocks (OB): consolidation zones preceding the BOS where the "smart money" has likely accumulated positions.
The detection of Fair Value Gaps (FVG), also called imbalance zones where the price has "jumped" a level, creating a disequilibrium between buyers and sellers.
Strategy Mechanics
Bullish Break of Structure (BOS)
A bullish BOS is detected when the price breaks a previous swing high.
A swing high is defined as a local peak higher than the previous 4 peaks.
Order Block (OB)
A bearish candle (close < open) just before a bullish BOS is identified as an OB.
This OB is recorded with its high and low.
An "active" OB zone is maintained for a certain number of bars (the zoneTimeout parameter).
Fair Value Gap (FVG)
A bullish FVG is detected if the high of the candle two bars ago is lower than the low of the current candle.
This FVG zone is also recorded and remains active for zoneTimeout bars.
Long Entry
An entry is possible if the price returns into the active OB zone or FVG zone (depending on which parameters are enabled).
Entry is only allowed if no position is currently open (strategy.position_size == 0).
Risk Management
The stop loss is placed below the OB low, with a buffer based on a multiple of the ATR (Average True Range), adjustable via the atrFactor parameter.
The take profit is set according to an adjustable Risk/Reward ratio (rrRatio) relative to the stop loss to entry distance.
Adjustable Parameters
Enable/disable entries based on OB and/or FVG.
ATR multiplier for stop loss.
Risk/Reward ratio for take profit.
Duration of OB and FVG zone activation.
Visualization
The script displays:
BOS (Break of Structure) with a green label above the candles.
OB zones (in orange) and FVG zones (in light blue).
Entry signals (green triangle below the candle).
Stop loss (red line) and take profit (green line).
Strengths and Limitations
Strengths:
Based on solid Smart Money analysis concepts.
OB and FVG zones are natural potential reversal areas.
Adjustable parameters allow optimization for different market conditions.
Dynamic risk management via ATR.
Limitations:
Only takes long positions.
No trend filter (e.g., EMA), which may lead to false signals in sideways markets.
Fixed zone duration may not fit all situations.
No automatic optimization; testing with different parameters is necessary.
Summary
This strategy aims to capitalize on price retracements into key zones where "smart money" has acted (OB and FVG) just after a bullish Break of Structure (BOS) signal. It is simple, customizable, and can serve as a foundation for a more comprehensive strategy.
Advanced SMC Market Structure AnalyzerAdvanced SMC Market Structure Analyzer
Version 1.0 • by Rendon1
Short Description:
A multi-timeframe Smart Money Concepts (SMC) toolkit for detecting Breaks of Structure (BOS), Changes of Character (CHoCH), liquidity zones, order blocks, fair-value gaps, and raw entry signals—all in one overlay indicator.
🔍 Overview
This script analyzes both a higher timeframe (e.g. 4H) for market structure shifts and a lower “entry” timeframe (e.g. 5–30 m) to flag optimal entries. It visually marks:
BOS (Higher-Highs/Bearish BOS & Lower-Lows/Bullish BOS)
CHoCH (structure flips)
Liquidity Zones (equal highs/lows)
Order Blocks (last candle before a directional move)
Fair-Value Gaps on the entry timeframe
Buy/Sell Labels when multiple conditions align
⚙️ Features
Multi-Timeframe Structure: Define your higher-timeframe for HTF swings and a customizable lower-timeframe for precision entries.
Swing Sensitivity: Adjustable pivot lookback (default 5 bars).
Liquidity Detection: Highlights market stagnation points via equal highs/lows.
Order Blocks & FVG: Identifies key institutional zones on both HTF and LTF.
Automated Entry Signals: Composite logic combining CHoCH with LTF order blocks or fair-value gaps.
Alerts Built-In: “Bullish Entry,” “Bearish Entry,” “CHoCH Detected,” and “BOS Detected.”
⚙️ Inputs
Setting Default Description
Swing Detection Sensitivity 5 Lookback bars for pivot detection (higher = smoother)
Show Structure Labels ☑️ Toggle visual BOS/CHoCH labels
HTF Structure Timeframe 240 Higher-timeframe (minutes) for market structure
Entry Structure Timeframe 15 Lower-timeframe for order block & FVG entries
Liquidity Lookback 3 Bars to check for equal highs/lows
📖 How to Use
Add to Chart: Apply the indicator to any symbol.
Configure Timeframes: Choose your preferred HTF (e.g. 4H) and LTF (e.g. 15 m).
Interpret Signals:
Blue “BOS” labels mark momentum breaks on HTF.
Orange “CHoCH” labels indicate structure flips.
Green “🟢 BUY” and Red “🔴 SELL” labels appear when HTF flips align with LTF zones.
Set Alerts: Right-click any of the built-in alert conditions to add real-time notifications.
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and you should perform your own analysis before making any trades. The author is not liable for any losses or gains resulting from the use of this indicator.
Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals.
Introduction
This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend.
Detailed Description
The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend.
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Type of structure
Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend.
External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market.
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Key events
Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS).
Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal.
Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints.
It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time.
The indicator can color the background and candles based on the market structure, making it easy to identify the current trend.
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Special feature
At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue.
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Detects Break of Structure (BoS) and Change of Character (CHoCH) signals.
Marks internal and external support/resistance levels where market trends change.
Provides visual cues (lines, labels) and real-time alerts for structure breaks.
Offers background and candle color customization to highlight market direction.
Trend_Prime_MasterTrend_Prime_Master is a trend-following indicator designed to help traders identify potential buy and sell signals with enhanced clarity and reliability. This indicator integrates multiple technical analysis tools into a cohesive system, maximizing their individual strengths to offer traders a comprehensive view of market trends. With its advanced blend of market structure analysis, multiple EMAs, custom volume and momentum indicators, and multi-timeframe trend confirmation, Trend_Prime_Master is tailored to navigate the complexities of financial markets.
Core Features
Trend_Prime_Master offers a suite of features that provide in-depth analysis and actionable insights into market trends:
Multi-Timeframe Trend Analysis: This feature ensures that the signals you act on are aligned with broader market trends by filtering and confirming them across various timeframes. By aligning your trades with the larger market direction, you improve the overall consistency of your trading decisions.
Sophisticated Signal Generation: Signals are generated based on a confluence of technical conditions, including Exponential Moving Average (EMA) crossovers and custom momentum indicators. This multi-layered approach helps focus on signals that have strong backing from market conditions, thereby increasing the reliability of trading decisions.
Color-Changing Trend Line: The trend line changes color based on the market's current direction, providing a quick visual cue for traders. Green indicates a bullish trend, while red signals a bearish trend. This feature simplifies the process of identifying trends, allowing traders to make informed decisions at a glance.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on market conditions. These lines provide a more responsive view of the trend compared to static moving averages, particularly useful in volatile markets.
Short Trend Lines: In addition to the main trend line, Trend_Prime_Master includes short trend lines that focus on immediate market movements. These lines are based on shorter EMAs and offer additional layers of trend confirmation, particularly in fast-moving markets.
Custom Volume and Momentum Indicators: These advanced tools validate the strength of trends by assessing the underlying market pressure and the speed of price movements, ensuring that signals are supported by substantial market activity.
Heikin Ashi Integration: Heikin Ashi candles are used to smooth out price data, reducing noise and providing a clearer view of the underlying trend. This integration enhances the clarity and reliability of the signals, making it easier to follow the trend and make informed decisions.
CHoCH (Change of Character): CHoCH is a critical component in understanding market structure changes. It occurs when the market shows a significant shift in behavior, such as moving from a trending phase to a consolidation phase, or vice versa. Trend_Prime_Master automatically detects and labels CHoCH on the chart, helping traders anticipate potential reversals or shifts in market momentum.
Detailed Component Explanations
Every component in Trend_Prime_Master has been carefully selected and integrated to enhance the overall performance of the indicator. Here’s a detailed explanation of how these components work together:
EMA Combinations for Trend Identification: Trend_Prime_Master utilizes multiple EMAs with different periods to capture both short-term and long-term trends. By analyzing the relationship between faster and slower EMAs, the indicator identifies potential trend reversals and continuations. The combination of multiple EMAs helps in smoothing out price data, reducing noise, and providing a more accurate depiction of the trend.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on changing market conditions. Unlike static moving averages, which use a fixed calculation period, adaptive lines recalibrate themselves to respond more effectively to shifts in market momentum. This allows traders to capture emerging trends more quickly and avoid the lag associated with traditional moving averages.
Short Trend Lines: Short trend lines are calculated using faster EMAs and are designed to highlight immediate market trends. These lines are particularly useful for traders who focus on short-term market movements, providing early indications of potential trend reversals or continuations. By combining short trend lines with longer EMAs, Trend_Prime_Master offers a multi-layered approach to trend analysis, ensuring that both short-term and long-term perspectives are considered.
Point of Control (POC):
The Point of Control (POC) is a key concept in volume profile analysis that represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC line is automatically calculated and plotted on the chart. This level is crucial because it often acts as a significant support or resistance level, where price tends to gravitate towards or bounce off. By incorporating the POC, Trend_Prime_Master enhances your ability to identify critical price levels that are likely to influence future price movements.
The POC works synergistically with other components like EMAs and custom momentum indicators by confirming whether these technical signals align with high-volume price levels. For instance, a buy signal near the POC might suggest a strong support level, making the trade more likely to succeed, while a sell signal below the POC could indicate a potential breakout or continuation of a downtrend.
Break of Structure (BOS): BOS is a crucial concept in market structure analysis that indicates a significant change in market behavior. It occurs when the market breaks a previous high or low, suggesting a potential reversal or continuation of the trend. In Trend_Prime_Master, BOS is used to identify these critical moments, helping traders anticipate major market moves. BOS works in conjunction with other signals, such as EMA crossovers and trend line changes, to provide a comprehensive picture of the market's direction.
CHoCH (Change of Character): CHoCH refers to a sudden and significant shift in market behavior, often signaling a change from a trending market to a ranging one, or vice versa. This concept is crucial for traders who need to adjust their strategies based on the market’s current phase. Trend_Prime_Master automatically detects CHoCH moments and marks them on the chart, allowing traders to adapt their strategies promptly and effectively.
Custom Volume and Momentum Indicators: These custom indicators in Trend_Prime_Master go beyond standard tools by incorporating advanced calculations that consider both the direction and intensity of market moves. These indicators help validate the strength of a trend, ensuring that traders act on signals backed by strong market activity. This allows for a more nuanced view of trend strength, supporting better trading decisions.
Color-Changing Trend Line: This visual tool is not just a simple trend line; it dynamically adjusts its color based on the current trend direction, providing an immediate visual representation of the market’s state. When combined with other components like BOS and custom volume indicators, the color-changing trend line helps traders quickly assess whether the current market conditions favor a particular trade, reducing the cognitive load on traders and enabling faster decision-making.
Multi-Timeframe Filters: These filters ensure that the signals generated on a lower timeframe are consistent with the trends observed on higher timeframes. A signal is only considered valid if it aligns across these multiple timeframes, ensuring that your trades are supported by the broader market context.
Heikin Ashi Smoothing: Heikin Ashi candles are incorporated into Trend_Prime_Master to smooth out noise in price data. These candles average out price movements, making it easier to identify the underlying trend without being distracted by minor fluctuations. This smoothing effect is particularly useful in volatile markets, where traditional candlesticks might present a confusing picture of market behavior.
How It Works
Trend_Prime_Master integrates these tools into a cohesive system designed to provide clear and actionable insights into market trends:
EMA-Based Trend Identification: By analyzing multiple EMAs, Trend_Prime_Master identifies the prevailing market trend and potential reversals. This process involves comparing the positions of faster and slower EMAs to detect crossovers, which are key signals for trend changes.
Adaptive Lines: These lines adjust in real-time to reflect the current market conditions. They offer a more responsive trend-following approach compared to traditional moving averages, making them particularly useful in volatile or rapidly changing markets.
Short Trend Lines: These lines focus on short-term market trends, providing early signals of potential reversals or continuations. By tracking immediate price movements, short trend lines help traders respond quickly to market changes, offering a valuable perspective in fast-moving markets.
Point of Control (POC):The POC represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC is plotted to help traders identify key levels where the market has shown significant interest. These levels often act as strong support or resistance and can be crucial in determining the validity of a trend. For instance, a signal near the POC might indicate a more reliable setup, as it shows that the price is aligning with a major volume level.
Break of Structure (BOS): BOS plays a pivotal role in confirming trend reversals. When the price breaks a significant structure, such as a previous high or low, it suggests that the market may be shifting direction. This is particularly important for traders looking to enter the market at the beginning of a new trend.
CHoCH (Change of Character): CHoCH is critical for recognizing shifts in market phases. For example, a CHoCH might indicate that a market is moving from a trend into a consolidation phase, or vice versa. By identifying these changes early, Trend_Prime_Master allows traders to adjust their strategies accordingly, whether that means tightening stop-losses in a trending market or preparing for breakout trades in a consolidating one.
Custom Volume and Momentum Confirmation: These custom indicators add an extra layer of validation to the signals generated by Trend_Prime_Master. By confirming that there is strong market participation and momentum behind a move, these indicators help ensure that traders are acting on signals supported by robust market activity.
Color-Changing Trend Line: This feature provides an easy-to-understand visual representation of the market's direction, changing color based on whether the market is in a bullish or bearish phase. It works in tandem with other components like EMAs and custom volume indicators to give traders a quick, comprehensive view of market conditions.
Settings
• Trading Style: Select the trading style that best suits your strategy (Short, Medium, Long, HTSpecial, Standard). This setting adjusts the parameters of the EMAs and other components to align with different timeframes, ensuring that the indicator is tuned to the specific market conditions you're trading in.
• Show Possible Signals: Toggle this setting to enable or disable the display of possible buy and sell signals. This allows traders to focus on confirmed signals or to see potential opportunities as they develop.
• Possible Signals Filter: If you wish to filter possible signals based on a higher timeframe trend, enable this option and select the appropriate higher timeframe. This helps ensure that the signals you act upon are in sync with broader market trends, reducing the risk of counter-trend trades.
Colors for Signals and Moving Averages:
• Customize the colors for bullish, bearish, and neutral signals, as well as for the various moving averages. This allows traders to personalize the visual aspects of the indicator, making it easier to interpret signals at a glance.
Trend Line Settings:
• Adaptive Line: Toggle to enable or disable the adaptive trend line, which adjusts dynamically based on market conditions. The line changes color to reflect the current trend direction, providing a quick visual cue.
• Short Trend Lines: Enable this option to display shorter-term trend lines. These lines help in identifying immediate market movements and can be particularly useful for short-term traders.
• Length and Smoothing: Adjust the length and smoothing parameters for the trend lines to fine-tune how responsive they are to price changes.
Point of Control (POC) Settings:
• Show POC Line: Toggle this setting to display the POC on your chart. The POC is a critical level where the most volume has been traded, and it often acts as a significant support or resistance level.
• POC Color and Width: Customize the color and width of the POC line to make it stand out or blend in with your other chart elements, depending on your preference.
Why It's Worth Paying For
Trend_Prime_Master provides several unique advantages that make it a valuable tool for traders:
Comprehensive Market Analysis: By integrating multiple technical analysis tools, Trend_Prime_Master provides a holistic view of market trends, helping you make more informed decisions.
Customization and Flexibility: The indicator’s settings can be easily adjusted to suit your trading style, whether you’re focusing on short-term trades or long-term investments.
Reliable Signal Generation: The multi-layered approach—combining EMAs, custom volume indicators, and trend lines—minimizes the likelihood of weak signals, enhancing your trading process.
Advanced Features: Features like multi-timeframe analysis, Heikin Ashi smoothing, and the color-changing trend line provide insights that are not typically found in other indicators, giving you a trading edge.
Enhanced Market Understanding: The ability to detect and act on changes in trend strength and momentum helps you develop a deeper understanding of market dynamics.
Consistency Across Markets: Trend_Prime_Master is designed to perform reliably across various market conditions, making it a versatile tool in any trading environment.
User-Friendly Interface: Despite its advanced capabilities, the indicator is easy to use, making it accessible to traders of all experience levels.
Ongoing Support and Updates: As a user of Trend_Prime_Master, you receive ongoing support and regular updates to keep the indicator effective and up-to-date with the latest market trends and techniques.
Risk Disclaimer
While Trend_Prime_Master is designed to deliver robust trading signals, it’s important to maintain realistic expectations:
Performance: The indicator is based on solid technical analysis principles, but it cannot predict the future or guarantee success. It should be used as part of a comprehensive trading strategy that includes effective risk management.
Signal Reliability: The signals generated are based on historical data and trends. While they are designed to be consistent with market conditions, they cannot guarantee future outcomes. Always be prepared for unexpected market changes.
Market Conditions: Trend_Prime_Master excels in trending markets but, like any tool, its effectiveness may vary in choppy or highly volatile conditions. Adjusting the settings and strategy according to the market environment is recommended.
How to Get Access
To gain access to Trend_Prime_Master, please send me a direct message on TradingView or use the provided link to request access. Ensure that access requests are made privately so the comments section can remain focused on discussions related to the script’s performance and use.
Fair Value Gaps Setup 01 [TradingFinder] FVG Absorption + CHoCH🔵 Introduction
🟣 Market Structures
Market structures exhibit a fractal and nested nature, which leads us to classify them into internal (minor) and external (major) categories. Definitions of market structure vary, with different methodologies such as Smart Money and ICT offering distinct interpretations.
To identify market structure, the initial step involves examining key highs and lows. An uptrend is characterized by successive highs and lows that are higher than their predecessors. Conversely, a downtrend is marked by successive lows and highs that are lower than their previous counterparts.
🟣 Market Trends and Movements
Market trends consist of two primary types of movements :
Impulsive Movements : These movements align with the main trend and are characterized by high strength and momentum.
Corrective Movements : These movements counter the main trend and are marked by lower strength and momentum.
🟣 Break of Structure (BOS)
In a downtrend, a Break of Structure (BOS) occurs when the price falls below the previous low and establishes a new low (LL). In an uptrend, a BOS, also known as a Market Structure Break (MSB), happens when the price rises above the last high.
To confirm a trend, at least one BOS is necessary, which requires the price to close at least one candle beyond the previous high or low.
🟣 Change of Character (CHOCH)
Change of Character (CHOCH) is a crucial concept in market structure analysis, indicating a shift in trend. A trend concludes with a CHOCH, also referred to as a Market Structure Shift (MSS).
For example, in a downtrend, the price continues to drop with BOS, showcasing the trend's strength. However, when the price rises and exceeds the last high, a CHOCH occurs, signaling a potential transition from a downtrend to an uptrend.
It is essential to note that a CHOCH does not immediately indicate a buy trade. Instead, it is prudent to wait for a BOS in the upward direction to confirm the uptrend. Unlike BOS, a CHOCH confirmation does not require a candle to close; merely breaking the previous high or low with the candle's wick is sufficient.
🟣 Spike | Inefficiency | Imbalance
All these terms mean fast price movement in the shortest possible time.
🟣 Fair Value Gap (FVG)
To pinpoint the "Fair Value Gap" (FVG) on a chart, a detailed candle-by-candle analysis is necessary. This process involves focusing on candles with substantial bodies and evaluating them in relation to the candles immediately before and after them.
Here are the steps :
Identify the Central Candle : Look for a candle with a large body.
Examine Adjacent Candles : The candles before and after this central candle should have long shadows, and their bodies must not overlap with the body of the central candle.
Determine the FVG Range : The distance between the shadows of the first and third candles defines the FVG range.
This method helps in accurately identifying the Fair Value Gap, which is crucial for understanding market inefficiencies and potential price movements.
🟣 Setup
This setup is based on Market Structure and FVG. After a change of character and the formation of FVG in the last lag of the price movement, we are looking for trading positions in the price pullback.
Bullish Setup :
Bearish Setup :
🔵 How to Use
After forming the setup, you can enter the trade using a pending order or after receiving confirmation. To increase the probability of success, you can adjust the pivot period market structure settings or modify the market movement coefficient in the formation leg of the FVG.
Bullish Setup :
Bearish Setup :
🔵 Setting
Pivot Period of Market Structure Detector :
This parameter allows you to configure the zigzag period based on pivots. Adjusting this helps in accurately detecting order blocks.
Show major Bullish ChoCh Lines :
You can toggle the visibility of the Demand Main Zone and "ChoCh" Origin, and customize their color as needed.
Show major Bearish ChoCh Lines :
Similar to the Demand Main Zone, you can control the visibility and color of the Supply Main Zone and "ChoCh" Origin.
FVG Detector Multiplier Factor :
This feature lets you adjust the size of the moves forming the Fair Value Gaps (FVGs) using the Average True Range (ATR). The default value is 1, suitable for identifying most setups. Adjust this value based on the specific symbol and market for optimal results.
FVG Validity Period :
This parameter defines the validity period of an FVG in terms of the number of candles. By default, an FVG remains valid for up to 15 candles, but you can adjust this period as needed.
Mitigation Level FVG :
This setting establishes the basic level of an FVG. When the price reaches this level, the FVG is considered mitigated.
Level in Low-Risk Zone :
This feature aims to reduce risk by dividing the FVG into two equal areas: "Premium" (upper area) and "Discount" (lower area). For lower risk, ensure that "Demand FVG" is in the "Discount" area and "Supply FVG" in the "Premium" area. This feature is off by default.
Show or Hide :
Given the potential abundance of setups, displaying all on the chart can be overwhelming. By default, only the last setup is shown, but you can enable the option to view all setups.
Alert Settings :
On / Off : Toggle alerts on or off.
Message Frequency : Determine how often alerts are triggered.
Options include :
"All" (alerts every time the function is called)
"Once Per Bar" (alerts only on the first call within the bar)
"Once Per Bar Close" (alerts only at the last script execution of the real-time bar upon closing)
The default setting is "Once Per Bar".
Show Alert Time by Time Zone : Set the alert time based on your preferred time zone, such as "UTC-4" for New York time. The default is "UTC".
Display More Info : Optionally show additional details like the price range of the order blocks and the date, hour, and minute in the alert message. Set this to "Off" if you prefer not to receive this information.
True Market Structure {DCAquant}
True Market Structure
Overview
The True Market Structure is a technical analysis tool designed for use across all timeframes. It identifies and visualizes market structure breaks (MSBs) and break of structure (BOS) events, emphasizing interim highs and lows using the "Deroz Wick" system. Unlike many other indicators, this tool does not rely on traditional pivot points, making it a unique addition to any trader's toolkit.
How It Works
The True Market Structure indicator uses a combination of algorithms to detect and highlight significant market structure events. By analyzing price action and identifying key levels, the indicator aids in understanding potential reversal points and trend continuations.
Bull and Bear Market Structures: Differentiates between bullish and bearish market structures, applying distinct color settings for easy visualization.
Customizable Settings: Users can tailor the indicator’s appearance and functionality to their preferences, including toggling lines, labels, and selecting between SWING and INTERIM MS settings.
How our market structure indicator is different
All known market structure indicators work with pivot points. This is a lookback function to find highs and lows within a certain period and then producing market structure.
Our indicator doesn't work like this as the DCAquant True Market Structure finds swing and interim lows and saves it into memory thus giving us the ability to create real market structure breaks and BOS’s.
This is achieved when an MSB or BOS is triggered the script will perform a check through its memory to find previous Interim or swing which ever setting the user has selected.
A saved interim or swing will never change unless it is broken giving you true market structure, this Indicator cannot repaint because it only produces breaks whenever candle is closed.
The next MSB or BOS you see on the chart are the direct function of saved memory points which gives clear indication of true market structure.
Almost 500 lines of code to give you True Market Structure usable on any timeframe.
Key Features
1. Market Structure Breaks (MSBs) and Break of Structure (BOS)
Market Structure Breaks (MSBs): Occur when the price breaks through a previous significant high or low, indicating a potential reversal or continuation of the current trend.
Break of Structure (BOS): Highlights significant breaks in market structure, providing insights into potential trend changes.
2. Visualization Options
Customizable colour settings for both bull and bear market structures, ensuring it integrates with any chart setup.
Options to enable or disable lines and labels for flexible information display.
3. The WICK System
Standard WICK System: Identifies wicks based on standard high/low calculations.
Deroz WICK System: Enhances the standard WICK system by looking back at price history and replacing the standard wick if an even lower or higher wick is found in the subsequent bar.
4. MS Settings
SWING Setting: Sets future MSB events at swing highs/lows, offering a broader market perspective.
INTERIM Setting: Sets future MSB events at interim highs/lows, providing more immediate and frequent market structure updates.
Understanding Market Structure
Market structure is defined by a series of price actions that form recognizable patterns indicating the current trend. Key elements include:
Higher Highs (HH) and Higher Lows (HL): Indicate an uptrend, where each successive high and low is higher than the previous one.
Lower Highs (LH) and Lower Lows (LL): Indicate a downtrend, where each successive high and low is lower than the previous one.
These patterns help traders identify trend direction and potential reversal points. In an uptrend, traders look for higher highs and higher lows to continue, whereas in a downtrend, they look for lower highs and lower lows.
Application in Breakout Trading
Market structure analysis is crucial for breakout trading, where traders seek to capitalize on significant price movements following a break of established price levels.
Uptrend Breakouts: Traders watch for breaks above higher highs as potential entry points for long positions.
Downtrend Breakouts: Traders watch for breaks below lower lows as potential entry points for short positions.
The True Market Structure indicator assists by visually marking these critical levels, simplifying the process of identifying and acting on breakout opportunities.
Visual Representation
Indicator Settings
Standard WICK vs. Deroz WICK System:
Standard WICK
Deroz WICK
SWING MSB
INTERIM MSB
Summary
The True Market Structure indicator provides a clear and detailed view of market structure changes. By highlighting key MSB and BOS events and incorporating advanced wick detection through the Deroz WICK system, this tool can aid in making informed decisions based on a thorough understanding of market dynamics. However DCAquant recommends using this indicator as part of a system.
SMC OB+HOBSmart Money OB/HOB Indicator — Quick Guide
Use this as a field manual: what you’re seeing, how it’s decided, and which settings to use for different timeframes and trade styles.
What the tool plots
Bullish Order Block (OB) — teal box
The last small down candle before a bullish displacement/BOS. Height = candle body (default) or wick range (if you choose “Wick”).
Pin (small white dot) at the origin candle’s time to make anchoring obvious.
Bearish Order Block (OB) — red box
The last small up candle before a bearish displacement/BOS.
Hidden Order Block (HOB) — same box but yellow-tinted fill
A valid OB with one or more same-bias FVGs “ahead” (i.e., OB sits “behind” inefficiency). These tend to be stronger.
Mitigation state (fill transparency)
Unmitigated (least transparent): price hasn’t meaningfully traded back into the box. Highest priority.
Partial (more transparent): some penetration; still valid.
Full (most transparent): fully consumed; lower priority (optional to hide).
Top-K border — thin white outline
Only the best-scoring OBs/HOBs per direction are drawn to reduce clutter.
Auto-Fibs (optional)
OTE zone (0.62–0.79) — subtle purple band across the current swing leg.
0.618 / 0.705 / 0.786 — thin white horizontal lines. Confluence here adds score.
Trade idea lines (per Top-K block)
Entry — white line (mid/edge per your setting).
Stop — red line (box edge ± your pad).
TP1/TP2 — lime lines, R-based from entry→stop distance.
Label shows LONG/SHORT, entry, SL, TP1, TP2, time-stop (bars).
Note: Fair Value Gaps (FVGs) are tracked internally to classify HOBs and for pruning, not drawn to avoid noise.
How a block is qualified (in plain English)
BOS + Displacement:
Close breaks the recent swing high/low by at least N ticks and the bar shows impulse (body ≥ X·ATR and ≥ Y% of its total range).
(Settings: “Close beyond ≥ ticks”, “Min impulse body (x ATR)”, “Body/TR min %”)
Seed candle:
Look back ≤ N bars for the last opposite small-body candle (body ≤ Z% of its range). That candle’s body/wick becomes the OB height.
(Settings: “Last opposite candle within N bars”, “OB body ≤ % of TR”, “OB height model”)
Hidden OB:
Count same-bias FVGs “ahead”. If ≥ your threshold → tag the OB as HOB.
(Setting: “Require ≥ N same-bias FVGs ahead”)
Mitigation tracking:
As price trades into the box, we compute penetration %, updating unmitigated / partial / full state each bar.
Ranking (Top-K):
Every OB/HOB gets a score: near price, newer, hidden, near fib, and unmitigated boost. We draw only the Top-K per direction.
Inputs you’ll actually tweak
Timeframe
Compute on: Current (uses your chart TF) or Specific (MTF scan).
Process last N bars: reduce for speed, increase to see more history.
Anchoring
Extend: Right, Limited, or Origin only.
Limited draws boxes to a fixed number of bars so charts stay clean.
Show origin pins: Keep on so you always know the source candle.
Structure / BOS (signal frequency vs. quality)
Require FVG on break bar: ON = stricter, OFF = more signals.
Min impulse body (x ATR): higher = stricter.
Body/TR min %: higher = stricter.
Close beyond ≥ ticks: 0–1 for LTF; 1–3 for HTF.
Order Blocks
OB height model: Body (cleaner) or Wick (wider protection).
Last opposite candle within N bars: 3–8 (higher finds more).
OB body ≤ % of TR: 0.35–0.70 (lower = stricter).
Min OB height (ticks): 1–2 (avoid micro slivers).
Expire on first touch: If ON, removes boxes after first reaction.
Hidden OB
Require ≥ N FVGs ahead: 0–1 for LTF (more HOBs), 1–2 for HTF.
Mitigation Filter (what you show)
Toggle Unmitigated / Partial / Full visibility.
For precision trading, keep Unmitigated on; show others while scanning.
Auto-Fibs
Enable fib confluence: On adds score near 0.618/0.705/0.786.
Draw lines / OTE: Visual only; confluence also boosts ranking.
Tolerance (x ATR): how close price must be to count as “near fib”.
Ranking & Draw
Top-K per direction: how many OBs/HOBs you’ll see each side.
Prefer near / newer / hidden / unmitigated: scoring toggles.
Fib boost: how much fib confluence bumps a level.
Trade Ideas
Entry style: 50% of OB (balanced) or OB edge (faster fills).
Stop pad (ticks/ATR): give a little room beyond the box edge.
TP1/TP2 (R): risk-multiple targets (e.g., 1R, 2R).
Time stop (minutes): exit if it doesn’t go in time.
Execution / Alerts (recommended)
Keep on-close workflow: do not enable calc_on_every_tick.
When creating alerts, choose Once per bar close.
How to use it (mechanical checklist)
Scan: Focus on Top-K boxes. HOBs (yellow-tinted) and unmitigated get first look.
Context (optional): If you like, also check HTF structure or obvious liquidity pools (equal highs/lows).
Confluence: Prefer boxes near 0.618/0.705/0.786 or inside the OTE band.
Trigger: Let the bar close. If entry line is touched next, you have a go-signal with a placed stop and R-targets.
Manage: If TP1 hits, move SL to BE. For HOBs, consider a runner (trail under minor swing/FVG) — they often travel further.
Time stop: If it hasn’t moved within N minutes/bars, cut it; don’t babysit.
Preset recipes (copy these settings)
1) Hyper-Scalp (1–3m) — frequent, fast
Structure / BOS:
FVG on break = OFF | Min impulse = 0.6–0.8 | Body/TR = 0.45–0.55 | Close beyond = 0–1
Order Blocks:
Opposite lookback = 5–6 | OB body ≤ 0.55–0.60 | Min height = 1
HOB: Need FVGs = 0–1
Mitigation view: Show Unmit/Partial, optionally Full while scanning
Ranking: Top-K = 4–6, prefer near/new/hidden/unmit = ON, Fib boost = 0.6–1.0
Trade Ideas: Entry = OB edge, Stop pad = 1–2 ticks, Time stop = 5–8 min
Execution: On bar close alerts
2) Intraday (5–15m) — balanced
Structure / BOS:
FVG on break = OFF | Min impulse = 0.8–1.0 | Body/TR = 0.55–0.60 | Close beyond = 1
Order Blocks:
Opposite lookback = 4–5 | OB body ≤ 0.50–0.55 | Min height = 1–2
HOB: Need FVGs = 1
Ranking: Top-K = 3–4, Fib boost = 1.0–1.5
Trade Ideas: Entry = 50%, Stop pad = 2–3 ticks, Time stop = 10–20 min
3) Swing (1H–4H) — selective, higher quality
Structure / BOS:
FVG on break = ON | Min impulse = ≥1.0 | Body/TR = ≥0.65 | Close beyond = 1–3
Order Blocks:
Opposite lookback = 3–4 | OB body ≤ 0.45–0.50 | Min height = 2–4
HOB: Need FVGs = 1–2
Ranking: Top-K = 2–3, Fib boost = 1.5–2.0
Trade Ideas: Entry = 50%, Stop pad = a few ticks + ATR pad, Time stop = few bars
4) HTF (Daily+) — very selective
Keep swing settings, increase Min impulse and Close beyond a bit, reduce Top-K to 1–2.
Priority rules (what to trade first)
HOB over OB
Unmitigated over partial/full
With fib confluence over without
Near price and recent over far/old
Favor levels that follow a sweep (equal highs/lows taken, then return to your box)
If two boxes tie, take the one with the cleaner origin candle and simpler path to TP (fewer nearby obstacles).
Troubleshooting & tips
“I’m not seeing many signals.”
Loosen Structure/BOS (lower ATR and Body/TR), increase Opposite lookback, allow Partial/Full in view, raise Top-K.
“Too many lines/boxes.”
Lower Top-K, use Limited extension (Anchoring), hide Partial/Full, and keep fib lines if you rely on confluence.
“Stuff looks offset.”
Keep origin pins on. Use xloc.bar_time (already in code) and avoid custom time compressions that desync objects.
Execution discipline:
Use on-close alerts. Respect time stops. Size by fixed risk per trade, not fixed leverage.
VT – Dashboard05🚀 Overview
VT – Dashboard05 is a multi-timeframe market state dashboard for Forex and other liquid markets. It summarizes Trend, RSI state, RSM, and ICT structure (BOS/MSS) across H1 / M30 / M15 / M5 / M1 in one compact table—plus clean rejection markers (“S” at the top, “B” at the bottom) controlled entirely from the Style tab. All higher-timeframe values are computed without lookahead and only confirm on their candle close.
✨ Key Features
5-TF Dashboard (H1, M30, M15, M5, M1) — Columns for TREND / RSI / RSM / ICT, color-coded for quick reads.
EMA-Stack Trend — Fast/Mid/Slow EMA alignment for Up / Sideways / Down bias.
RSI & RSM States — OB/OS plus RSI vs RSM momentum (RYB / RLLT).
ICT Structure (BOS / MSS) — Choose Close Break or Body Break; signals confirm only on TF close.
Rejection Markers (Style-only) — “S” at top, “B” at bottom; change colors/visibility in Style (no Inputs clutter).
Alerts — State-change alerts for TREND, RSI, RSM, ICT on each TF, plus rejection alerts on the chart TF.
No repaint tricks — HTF data pulled with gaps filled, lookahead off, confirmation on close.
🛠 How to Use
Add to chart → set Dashboard Position (Inputs).
Pick ICT Break Method (Close Break or Body Break).
Tune Structure Swing Length for H1/M30/M15/M5/M1.
(Optional) Toggle EMA1–EMA4 overlays for context.
Style the markers in Settings → Style:
Rejection (Top) → “S” at top (color/visibility here).
Rejection (Bottom) → “B” at bottom (color/visibility here).
Create alerts using built-in conditions (e.g., ICT change H1, TREND change M15, Rejection Bullish (chart TF)).
⚙️ Settings
Dashboard: Dashboard Position, Compact Mode.
Trend: EMA Fast / Mid / Slow Lengths.
RSI: RSI Length, OB/OS Levels.
RSM: RSM RSI Length, RSM EMA Length.
ICT Structure: ICT Break Method (Close vs Body), Structure Swing Length per TF (H1/M30/M15/M5/M1).
EMAs on Chart: EMA1–EMA4 lengths & show/hide.
Style Tab: Rejection (Top) and Rejection (Bottom) series for color/visibility.
📈 Trading Concepts
TREND: EMA stacking—aligned = UP, mixed = SW, bearish stack = DOWN.
RSI: OB > overbought, OS < oversold, else SW.
RSM: RYB when Uptrend, RLLT when Downtrend.
ICT (BOS/MSS):
BOS↑/BOS↓ = break of last swing high/low.
MSS↑/MSS↓ = break against the prior BOS direction (structure shift).
Signals are evaluated with Close Break or Body Break and confirm only on TF close.
Rejection: Bar-based reversal patterns—“S” marks bearish rejection (top), “B” marks bullish rejection (bottom).
Note: This is a technical analysis tool. Always practice proper risk management and combine with other analysis techniques for best results.
Category: Multi-Timeframe / Dashboard / Structure
Version: 1.0
Developer: VT
MistaB SMC Navigation ToolkitThe MistaB SMC Navigation Toolkit is a multi-functional price action and Smart Money Concepts (SMC) tool designed to help traders quickly identify key market structure shifts, order blocks, fair value gaps (FVGs), premium/discount zones, and higher timeframe (HTF) trend alignment.
This indicator integrates multiple SMC elements into one chart overlay, reducing the need for multiple scripts and improving workflow efficiency.
Main Features:
Automatic Order Block Detection – Identifies bullish and bearish order blocks with optional displacement and volume filters.
Fair Value Gap Highlighting – Marks bullish and bearish FVG zones with optional HTF confirmation.
Market Structure Shift Labels – Detects BoS and CHoCH events with fractal-based swing logic.
HTF Trend Confirmation – Color-codes structure and FVGs based on higher timeframe alignment.
Premium/Discount Zones – Visually divides the range for optimal trade entries.
Custom Cleanup System – Automatically removes broken or filled OB/FVG zones after a user-defined delay.
How to Use
Apply to Your Chart
Add the indicator to your preferred trading timeframe (e.g., 1H, 15M, 5M).
Select your desired HTF Confirmation Timeframe in the settings.
Interpreting the Chart Elements
Green/Red Order Blocks: Potential demand (green) or supply (red) zones.
Green/Red FVG Zones: Imbalances where price may return before continuing.
Market Structure Labels:
HH BoS / HL BoS → Bullish structure breaks.
LH BoS / LL BoS → Bearish structure breaks.
CHoCH → Change of Character (potential reversal).
Premium Zone (red): Above the midline — potential selling areas in a bearish bias.
Discount Zone (green): Below the midline — potential buying areas in a bullish bias.
Trade Example Workflow
Identify overall HTF trend (HTF label at top of chart).
Wait for structure shifts (BoS/CHoCH) aligned with HTF bias.
Look for OB or FVG in discount (buy) or premium (sell) zones.
Manage trade risk with stop-loss below/above the zone.
Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice and should not be relied upon for investment decisions.
Trading financial markets involves significant risk, and you may lose more than your initial investment.
Always do your own research, test strategies in a demo account, and consult a licensed financial advisor before trading with real capital.
The creator and publisher of this script assume no responsibility for any losses incurred from its use.
Market Structure Origin MoveMarket Structure Origin Move Tool
The Market Structure Origin Move Tool is a sophisticated trading tool designed to identify key market structures, including internal and external swings, Break of Structure (BOS), and Change of Character (CHOCH). This tool allows traders to gain insights into market movements and potential entry points based on institutional trading activities.
Key Features:
1. Identification of Swings:
The tool identifies internal swings (short-term price movements) and external swings (longer-term price movements) in the market. This helps traders understand the overall market structure and significant turning points.
2. Break of Structure (BOS):
BOS represents a breakout from the latest swing high or low on the chart. This occurrence indicates a significant change in market momentum and potential new trends.
The tool will mark these breakouts visually, helping traders recognize key points where price action changes direction.
3. Change of Character (CHOCH):
CHOCH occurs when a new bullish breakout follows a previous bearish breakout, indicating a shift in market dynamics. Conversely, a bearish CHOCH appears when a bearish breakout follows a prior bullish breakout.
This identification highlights a potential reversal in market trends, allowing traders to adjust their strategies accordingly.
4. Institutional Position Entry:
A significant aspect of this tool is its ability to identify where institutional traders may have entered their long or short positions before BOS or CHOCH events.
Green Boxes are used to indicate bullish BOS origin points, representing where institutional interest in buying may have started.
Red Boxes denote bearish BOS origin points, highlighting where institutional selling interests began.
This feature provides traders with valuable insights into potential support and resistance areas based on institutional trading behavior.
Conclusion:
The Market Structure Origin Move Tool equips traders with a deeper understanding of market movements by identifying critical swings, breakouts, and origins of institutional positions. By highlighting these key points, traders can make informed decisions about their entries and exits, ultimately enhancing their trading strategies.
Advanced ICT Theory - A-ICT📊 Advanced ICT Theory (A-ICT): The Institutional Manipulation Detector
Are you tired of being the liquidity? Stop chasing shadows and start tracking the architects of price movement.
This is not another lagging indicator. This is a complete framework for viewing the market through the lens of institutional traders. Advanced ICT Theory (A-ICT) is an all-in-one, military-grade analysis engine designed to decode the complex language of "Smart Money." It automates the core tenets of Inner Circle Trader (ICT) methodology, moving beyond simple patterns to build a dynamic, real-time narrative of market manipulation, liquidity engineering, and institutional order flow.
AIT provides a living blueprint of the market, identifying high-probability zones, tracking structural shifts, and scoring the quality of setups with a sophisticated, multi-factor algorithm. This is your X-ray into the market's true intentions.
🔬 THE CORE ENGINE: DECODING THE THEORY & FORMULAS
A-ICT is built upon a sophisticated, multi-layered logic system that interprets price action as a story of cause and effect. It does not guess; it confirms. Here is the foundational theory that drives the engine:
1. Market Structure: The Blueprint of Trend
The script first establishes a deep understanding of the market's skeleton through multi-level pivot analysis. It uses ta.pivothigh and ta.pivotlow to identify significant swing points.
Internal Structure (iBOS): Minor swings that show the short-term order flow. A break of internal structure is the first whisper of a potential shift.
External Structure (eBOS): Major swing points that define the primary trend. A confirmed break of external structure is a powerful statement of trend continuation. AIT validates this with optional Volume Confirmation (volume > volumeSMA * 1.2) and Candle Confirmation to ensure the break is driven by institutional force, not just a random spike.
Change of Character (CHoCH): This is the earthquake. A CHoCH occurs when a confirmed eBOS happens against the prevailing trend (e.g., a bearish eBOS in a clear uptrend). A-ICT flags this immediately, as it is the strongest signal that the primary trend is under threat of reversal.
2. Liquidity Engineering: The Fuel of the Market
Institutions don't buy into strength; they buy into weakness. They need liquidity. A-ICT maps these liquidity pools with forensic precision:
Buyside & Sellside Liquidity (BSL/SSL): Using ta.highest and ta.lowest, AIT identifies recent highs and lows where clusters of stop-loss orders (liquidity) are resting. These are institutional targets.
Liquidity Sweeps: This is the "manipulation" part of the detector. AIT has a specific formula to detect a sweep: high > bsl and close < bsl . This signifies that institutions pushed price just high enough to trigger buy-stops before aggressively selling—a classic "stop hunt." This event dramatically increases the quality score of subsequent patterns.
3. The Element Lifecycle: From Potential to Power
This is the revolutionary heart of A-ICT. Zones are not static; they have a lifecycle. AIT tracks this with its dynamic classification engine.
Phase 1: PENDING (Yellow): The script identifies a potential zone of interest based on a specific candle formation (a "displacement"). It is marked as "Pending" because its true nature is unknown. It is a question.
Phase 2: CLASSIFICATION: After the zone is created, AIT watches what happens next. The zone's identity is defined by its actions:
ORDER BLOCK (Blue): The highest-grade element. A zone is classified as an Order Block if it directly causes a Break of Structure (BOS) . This is the footprint of institutions entering the market with enough force to validate the new trend direction.
TRAP ZONE (Orange): A zone is classified as a Trap Zone if it is directly involved in a Liquidity Sweep . This indicates the zone was used to engineer liquidity, setting a "trap" for retail traders before a reversal.
REVERSAL / S&R ZONE (Green): If a zone is not powerful enough to cause a BOS or a major sweep, but still serves as a pivot point, it's classified as a general support/resistance or reversal zone.
4. Market Inefficiencies: Gaps in the Matrix
Fair Value Gaps (FVG): AIT detects FVGs—a 3-bar pattern indicating an imbalance—with a strict formula: low > high (for a bullish FVG) and gapSize > atr14 * 0.5. This ensures only significant, volatile gaps are shown. An FVG co-located with an Order Block is a high-confluence setup.
5. Premium & Discount: The Law of Value
Institutions buy at wholesale (Discount) and sell at retail (Premium). AIT uses a pdLookback to define the current dealing range and divides it into three zones: Premium (sell zone), Discount (buy zone), and Equilibrium. An element's quality score is massively boosted if it aligns with this principle (e.g., a bullish Order Block in a Discount zone).
⚙️ THE CONTROL PANEL: A COMPLETE GUIDE TO THE INPUTS MENU
Every setting is a lever, allowing you to tune the AIT engine to your exact specifications. Master these to unlock the script's full potential.
🎯 A-ICT Detection Engine
Min Displacement Candles: Controls the sensitivity of element detection. How it works: It defines the number of subsequent candles that must be "inside" a large parent candle. Best practice: Use 2-3 for a balanced view on most timeframes. A higher number (4-5) will find only major, more significant zones, ideal for swing trading. A lower number (1) is highly sensitive, suitable for scalping.
Mitigation Method: Defines when a zone is considered "used up" or mitigated. How it works: Cross triggers as soon as price touches the zone's boundary. Close requires a candle to fully close beyond it. Best practice: Cross is more responsive for fast-moving markets. Close is more conservative and helps filter out fake-outs caused by wicks, making it safer for confirmations.
Min Element Size (ATR): A crucial noise filter. How it works: It requires a detected zone to be at least this multiple of the Average True Range (ATR). Best practice: Keep this around 0.5. If you see too many tiny, irrelevant zones, increase this value to 0.8 or 1.0. If you feel the script is missing smaller but valid zones, decrease it to 0.3.
Age Threshold & Pending Timeout: These manage visual clutter. How they work: Age Threshold removes old, mitigated elements after a set number of bars. Pending Timeout removes a "Pending" element if it isn't classified within a certain window. Best practice: The default settings are optimized. If your chart feels cluttered, reduce the Age Threshold. If pending zones disappear too quickly, increase the Pending Timeout.
Min Quality Threshold: Your primary visual filter. How it works: It hides all elements (boxes, lines, labels) that do not meet this minimum quality score (0-100). Best practice: Start with the default 30. To see only A- or B-grade setups, increase this to 60 or 70 for an exceptionally clean, high-probability view.
🏗️ Market Structure
Lookbacks (Internal, External, Major): These define the sensitivity of the trend analysis. How they work: They set the number of bars to the left and right for pivot detection. Best practice: Use smaller values for Internal (e.g., 3) to see minor structure and larger values for External (e.g., 10-15) to map the main trend. For a macro, long-term view, increase the Major Swing Lookback.
Require Volume/Candle Confirmation: Toggles for quality control on BOS/CHoCH signals. Best practice: It is highly recommended to keep these enabled. Disabling them will result in more structure signals, but many will be false alarms. They are your filter against market noise.
... (Continue this detailed breakdown for every single input group: Display Configuration, Zones Style, Levels Appearance, Colors, Dashboards, MTF, Liquidity, Premium/Discount, Sessions, and IPDA).
📊 THE INTELLIGENCE DASHBOARDS: YOUR COMMAND CENTER
The dashboards synthesize all the complex analysis into a simple, actionable intelligence briefing.
Main Dashboard (Bottom Right)
ICT Metrics & Breakdown: This is your statistical overview. Total Elements shows how much structure the script is tracking. High Quality instantly tells you if there are any A/B grade setups nearby. Unmitigated vs. Mitigated shows the balance of fresh opportunities versus resolved price action. The breakdown by Order Blocks, Trap Zones, etc., gives you a quick read on the market's recent character.
Structure & Market Context: This is your core bias. Order Flow tells you the current script-determined trend. Last BOS shows you the most recent structural event. CHoCH Active is a critical warning. HTF Bias shows if you are aligned with the higher timeframe—the checkmark (✓) for alignment is one of the most important confluence factors.
Smart Money Flow: A volume-based sentiment gauge. Net Flow shows the raw buying vs. selling pressure, while the Bias provides an interpretation (e.g., "STRONG BULLISH FLOW").
Key Guide (Large Dashboard only): A built-in legend so you never have to guess. It defines every pattern, structure type, and special level visually.
📖 Narrative Dashboard (Bottom Left)
This is the "story" of the market, updated in real-time. It's designed to build your trading thesis.
Recent Elements Table: A live list of the most recent, high-quality setups. It displays the Type , its Narrative Role (e.g., "Bullish OB caused BOS"), its raw Quality percentage, and its final Trade Score grade. This is your at-a-glance opportunity scanner.
Market Narrative Section: This is the soul of A-ICT. It combines all data points into a human-readable story:
📍 Current Phase: Tells you if you are in a high-volatility Killzone or a consolidation phase like the Asian Range.
🎯 Bias & Alignment: Your primary direction, with a clear indicator of HTF alignment or conflict.
🔗 Events: A causal sequence of recent events, like "💧 Sell-side liquidity swept →
📊 Bullish BOS → 🎯 Active Order Block".
🎯 Next Expectation: The script's logical conclusion. It provides a specific, forward-looking hypothesis, such as "📉 Pullback expected to bullish OB at 1.2345 before continuation up."
🎨 READING THE BATTLEFIELD: A VISUAL INTERPRETATION GUIDE
Every color and line is a piece of information. Learn to read them together to see the full picture.
The Core Zones (Boxes):
Blue Box (Order Block): Highest probability zone for trend continuation. Look for entries here.
Orange Box (Trap Zone): A manipulation footprint. Expect a potential reversal after price interacts with this zone.
Green Box (Reversal/S&R): A standard pivot area. A good reference point but requires more confluence.
Purple Box (FVG): A market imbalance. Acts as a magnet for price. An FVG inside an Order Block is an A+ confluence.
The Structural Lines:
Green/Red Line (eBOS): Confirms the trend direction. A break above the green line is bullish; a break below the red line is bearish.
Thick Orange Line (CHoCH): WARNING. The previous trend is now in question. The market character has changed.
Blue/Red Lines (BSL/SSL): Liquidity targets. Expect price to gravitate towards these lines. A dotted line with a checkmark (✓) means the liquidity has been "swept" or "purged."
How to Synthesize: The magic is in the confluence. A perfect setup might look like this: Price sweeps below a red SSL line , enters a green Discount Zone during the NY Killzone , and forms a blue Order Block which then causes a green eBOS . This sequence, visible at a glance, is the story of a high-probability long setup.
🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY
A-ICT was forged from the frustration of using lagging indicators in a market that is forward-looking. Traditional tools are reactive; they tell you what happened. The vision for A-ICT was to create a proactive engine that could anticipate institutional behavior by understanding their objectives: liquidity and efficiency. The development process was centered on creating a "lifecycle" for price patterns—the idea that a zone's true meaning is only revealed by its consequence. This led to the post-breakout classification system and the narrative-building engine. It's designed not just to show you patterns, but to tell you their story.
⚠️ RISK DISCLAIMER & BEST PRACTICES
Advanced ICT Theory (A-ICT) is a professional-grade analytical tool and does not provide financial advice or direct buy/sell signals. Its analysis is based on historical price action and probabilities. All forms of trading involve substantial risk. Past performance is not indicative of future results. Always use this tool as part of a comprehensive trading plan that includes your own analysis and a robust risk management strategy. Do not trade based on this indicator alone.
観の目つよく、見の目よわく
"Kan no me tsuyoku, ken no me yowaku"
— Miyamoto Musashi, The Book of Five Rings
English: "Perceive that which cannot be seen with the eye."
— Dskyz, Trade with insight. Trade with anticipation.
SMA Smooth Market Structure (Multi-Timeframe)SMA Market Structure (Multi-Timeframe) is a powerful tool for tracking structural price action, using simple moving averages across any higher timeframe (HTF). It blends Smart Money Concepts with clean swing logic to reveal trend shifts, breaks of structure, and supply/demand zones.
This indicator highlights key structure features:
• Break of Structure (BOS) – Automatic detection of bullish or bearish swing breaks
• Internal Shifts – Early clues that the market is building toward a reversal
• Liquidity Sweeps (LS) – Detects swing failures that may trap traders
• Zigzag Swing Lines – Cleanly connects swing highs and lows
• Dynamic Zones – Demand (green) and supply (red) blocks drawn from engulfing breakouts
How to Use:
• Set your preferred HTF (e.g. 1H on a 15m chart) to view structure in proper context and
adjust SMA to smooth out market structure for directional consistency
• Watch BOS lines and swing labels like HH, HL, LH, LL for directional clarity
• Use the MS (Market Shift) label to identify full reversals after internal shifts + BOS
• Demand/Supply zones mark areas of previous strength and will update or mitigate automatically
• Alerts notify you of every BOS, MS, HH, LL, and LS event — no need to monitor manually
Customization Features:
• Toggle visibility of market shift markers, internal shifts, and zones
• Choose how internal shifts are calculated (High/Low or Open)
• Customize line style, width, and colors for BOS and zigzag lines
• Control zone duration and how mitigated zones behave (fade or delete)
• Built-in safety for Pine Script’s history limits using smart offset caps
Best Use Tips:
• Combine with price action patterns or volume for confirmation
• MS + BOS + zone tap often marks a high-probability reversal setup
• Use it to align lower timeframe entries with higher timeframe structure
For traders who want structure clarity without clutter, this tool is built to keep your chart actionable and adaptive.
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy?
The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach.
It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation.
Ideal for swing traders seeking to ride strong trends while managing risk.
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How does the strategy work?
The strategy follows a systematic process to capture high-momentum breakouts:
Pre-Breakout Criteria:
Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles).
Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation.
Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend.
Price Break: Enters when price clears the consolidation high with conviction.
Risk Management:
Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside.
Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run.
Trailing Stop (Unique Edge):
Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms.
Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns.
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What markets or timeframes is this suited for?
This is a long-only strategy designed for trending markets, and it performs best in:
Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures).
Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends.
Key Advantage: The TradingView script allows instant backtesting with adjustable parameters
You can:
- Test historical performance across multiple markets to identify which assets align best with the strategy.
- Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile.
Build a diversified portfolio by filtering for markets that show consistent profitability in backtests.
For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently.
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What indicators or tools does the strategy use?
The strategy combines customizable technical tools with strict anti-lookahead safeguards:
Core Indicators:
Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets.
Breakout Parameters:
Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern.
Entry Models: Flexible entry logics (Breakouts and fractals)
Anti-Lookahead Design:
All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal.
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How do I manage risk with this strategy?
The strategy prioritizes customizable risk controls to align with your trading style and account size:
User-Defined Risk Inputs:
Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade.
Flexibility: Choose between fixed risk or equity-based scaling.
The script adjusts position sizing dynamically based on your selection.
Pyramiding Feature:
Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact.
Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk.
Risk-Free Trade Mechanic:
Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk.
The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable.
Impact on Net Profit & Drawdown:
Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach.
Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity.
Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly.
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How does the strategy identify market structure for its trailing stoploss?
The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed.
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What are the underlying calculations?
The underlying calculations involve:
Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it.
Break of Structure (BOS):
Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend.
Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend.
Structural Liquidity and Invalidation:
Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS.
Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend.
This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages.
By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool.
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What entry criteria are used in this script?
The script uses two entry models for trading decisions: BreakOut and Fractal.
Underlying Calculations:
Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade.
Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern.
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What type of stop-loss identification method are used in this strategy?
This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss.
Underlying Calculations:
Initial Stop-loss:
ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction.
Calculation:
- First, the True Range (TR) is calculated for each period, which is the greatest of:
- Current Period High - Current Period Low
- Absolute Value of Current Period High - Previous Period Close
- Absolute Value of Current Period Low - Previous Period Close
- The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility.
Swing Low Based:
For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss.
Trailing Stop-Loss:
The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves:
Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement.
Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels.
Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns.
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What type of break-even method is used in this strategy? What are the underlying calculations?
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
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What tables are available in this script?
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart.
Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S.
User-input styles and customizations:
Please note that all background colors in the style are disabled by default to enhance visualization.
How to Use This Strategy to Create a Profitable Edge and Systems?
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 200 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
What Makes This Strategy Unique?
This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical:
1. Adapts to Any Market Rhythm
Works on daily, weekly, or intraday charts without code changes.
Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts).
2. Smarter Stop-Loss System
No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages.
Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets.
3. Safe Profit-Boosting Pyramiding
Adds new positions only after prior trades are risk-free (stops moved above breakeven).
Scales up using locked-in profits, not new capital, to grow gains safely.
4. Built-In Momentum Check
Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
HTF Market Structure [TakingProphets]HTF Market Structure
The Market Structure CHoCH/BOS (Fractal) Indicator is designed for traders using smart money concepts and ICT (Inner Circle Trader) methodology to track market structure shifts in real time. It automatically detects Change of Character (CHoCH) and Break of Structure (BOS) events based on fractal highs and lows, helping traders identify potential trend reversals and continuations with greater precision.
🔹 Key Features:
✅ Automatic CHoCH & BOS Detection – No need for manual plotting; the indicator highlights key structure shifts.
✅ Custom Lookback Period – Adjustable fractal settings to fine-tune market structure sensitivity.
✅ Multi-Timeframe Market Structure Table – Displays the most recent CHoCH state on multiple timeframes (Weekly, Daily, 4H, 1H, 15m, 5m).
✅ Candle Coloring – Optional feature to change candle colors after a CHoCH for better visual clarity.
✅ Works Across All Markets – Use it for Forex, Stocks, Crypto, and Futures.
🔹 How It Works:
📌 Break of Structure (BOS) – Indicates a continuation of the existing trend when price breaks a previous swing high or low.
📌 Change of Character (CHoCH) – Suggests a potential trend reversal when price structure shifts direction.
📌 Multi-Timeframe Confirmation – The built-in table tracks the latest CHoCH across different timeframes to help confirm bias.
🔹 How to Use:
Look for CHoCH signals at key liquidity zones (order blocks, fair value gaps).
Use BOS confirmations to follow trend continuations.
Combine with other smart money concepts like imbalance fills and liquidity grabs for stronger trade setups.
🚀 Enhance your market structure analysis with the CHoCH/BOS Indicator
Dollar Cost Averaging (DCA) | FractalystWhat's the purpose of this strategy?
The purpose of dollar cost averaging (DCA) is to grow investments over time using a disciplined, methodical approach used by many top institutions like MicroStrategy and other institutions.
Here's how it functions:
Dollar Cost Averaging (DCA): This technique involves investing a set amount of money regularly, regardless of market conditions. It helps to mitigate the risk of investing a large sum at a peak price by spreading out your investment, thus potentially lowering your average cost per share over time.
Regular Contributions: By adding money to your investments on a pre-determined frequency and dollar amount defined by the user, you take advantage of compounding. The script will remind you to contribute based on your chosen schedule, which can be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach ensures that your returns can earn their own returns, much like interest on savings but potentially at a higher rate.
Technical Analysis: The strategy employs a market trend ratio to gauge market sentiment. It calculates the ratio of bullish vs bearish breakouts across various timeframes, assigning this ratio a percentage-based score to determine the directional bias. Once this score exceeds a user-selected percentage, the strategy looks to take buy entries, signaling a favorable time for investment based on current market trends.
Fundamental Analysis: This aspect looks at the health of the economy and companies within it to determine bullish market conditions. Specifically, we consider:
Specifically, it considers:
Interest Rate: High interest rates can affect borrowing costs, potentially slowing down economic growth or making stocks less attractive compared to fixed income.
Inflation Rate: Inflation erodes purchasing power, but moderate inflation can be a sign of a healthy economy. We look for investments that might benefit from or withstand inflation.
GDP Rate: GDP growth indicates the overall health of the economy; we aim to invest in sectors poised to grow with the economy.
Unemployment Rate: Lower unemployment typically signals consumer confidence and spending power, which can boost certain sectors.
By integrating these elements, the strategy aims to:
Reduce Investment Volatility: By spreading out your investments, you're less impacted by short-term market swings.
Enhance Growth Potential: Using both technical and fundamental filters helps in choosing investments that are more likely to appreciate over time.
Manage Risk: The strategy aims to balance the risk of market timing by investing consistently and choosing assets wisely based on both economic data and market conditions.
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What are Regular Contributions in this strategy?
Regular Contributions involve adding money to your investments on a pre-determined frequency and dollar amount defined by the user. The script will remind you to contribute based on your chosen schedule, which can be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach ensures that your returns can earn their own returns, much like interest on savings but potentially at a higher rate.
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How do regular contributions enhance compounding and reduce timing risk?
Enhances Compounding: Regular contributions leverage the power of compounding, where returns on investments can generate their own returns, potentially leading to exponential growth over time.
Reduces Timing Risk: By investing regularly, the strategy minimizes the risk associated with trying to time the market, spreading out the investment cost over time and potentially reducing the impact of volatility.
Automated Reminders: The script reminds users to make contributions based on their chosen schedule, ensuring consistency and discipline in investment practices, which is crucial for long-term success.
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How does the strategy integrate technical and fundamental analysis for investors?
A: The strategy combines technical and fundamental analysis in the following manner:
Technical Analysis: It uses a market trend ratio to determine the directional bias by calculating the ratio of bullish vs bearish breakouts. Once this ratio exceeds a user-selected percentage threshold, the strategy signals to take buy entries, optimizing the timing within the given timeframe(s).
Fundamental Analysis: This aspect assesses the broader economic environment to identify sectors or assets that are likely to benefit from current economic conditions. By understanding these fundamentals, the strategy ensures investments are made in assets with strong growth potential.
This integration allows the strategy to select investments that are both technically favorable for entry and fundamentally sound, providing a comprehensive approach to investment decisions in the crypto, stock, and commodities markets.
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How does the strategy identify market structure? What are the underlying calculations?
Q: How does the strategy identify market structure?
A: The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed.
What are the underlying calculations for identifying market structure?
A: The underlying calculations involve:
Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it.
Break of Structure (BOS):
Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend.
Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend.
Structural Liquidity and Invalidation:
Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS.
Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend.
This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages.
By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool.
What entry criteria are used in this script?
The script uses two entry models for trading decisions: BreakOut and Fractal.
Underlying Calculations:
Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade.
Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern.
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How does the script calculate trend score? What are the underlying calculations?
Market Trend Ratio: The script calculates the ratio of bullish to bearish breakouts. This involves:
Counting Bullish Breakouts: A bullish breakout is counted when the price breaks above a recent swing high (as identified in the strategy's market structure analysis).
Counting Bearish Breakouts: A bearish breakout is counted when the price breaks below a recent swing low.
Percentage-Based Score: This ratio is then converted into a percentage-based score:
For example, if there are 10 bullish breakouts and 5 bearish breakouts in a given timeframe, the ratio would be 10:5 or 2:1. This could be translated into a score where 66.67% (10/(10+5) * 100) represents the bullish trend strength.
The score might be calculated as (Number of Bullish Breakouts / Total Breakouts) * 100.
User-Defined Threshold: The strategy uses this score to determine when to take buy entries. If the trend score exceeds a user-defined percentage threshold, it indicates a strong enough bullish trend to justify a buy entry. For instance, if the user sets the threshold at 60%, the script would look for a buy entry when the trend score is above this level.
Timeframe Consideration: The calculations are performed across the timeframes specified by the user, ensuring the trend score reflects the market's behavior over different periods, which could be daily, weekly, or any other relevant timeframe.
This method provides a quantitative measure of market trend strength, helping to make informed decisions based on the balance between bullish and bearish market movements.
What type of stop-loss identification method are used in this strategy?
This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss.
Underlying Calculations:
Initial Stop-loss:
ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction.
Calculation:
- First, the True Range (TR) is calculated for each period, which is the greatest of:
- Current Period High - Current Period Low
- Absolute Value of Current Period High - Previous Period Close
- Absolute Value of Current Period Low - Previous Period Close
- The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility.
Swing Low Based:
For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss.
Trailing Stop-Loss:
The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves:
Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement.
Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels.
Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns.
What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations?
For Break-Even:
Percentage (%) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain percentage above the entry.
Calculation:
Break-even level = Entry Price * (1 + Percentage / 100)
Example:
If the entry price is $100 and the break-even percentage is 5%, the break-even level is $100 * 1.05 = $105.
Risk-to-Reward (RR) Based:
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
For TP
- You can choose to set a take profit level at which your position gets fully closed.
- Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR.
What's the day filter Filter, what does it do?
The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style.
Customize Session Time:
Users can define the start and end times for the trading session.
This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours.
Select Days:
Users can select which days of the week to include in the strategy.
This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays).
Benefits:
Focus on Optimal Trading Periods:
By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities.
Avoid Unfavorable Conditions:
Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays.
What tables are available in this script?
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart.
Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S.
User-input styles and customizations:
Please note that all background colors in the style are disabled by default to enhance visualization.
How to Use This Strategy to Create a Profitable Edge and Systems?
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 200 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
What makes this strategy original?
Incorporation of Fundamental Analysis:
This strategy integrates fundamental analysis by considering key economic indicators such as interest rates, inflation, GDP growth, and unemployment rates. These fundamentals help in assessing the broader economic health, which in turn influences sector performance and market trends. By understanding these economic conditions, the strategy can identify sectors or assets that are likely to thrive, ensuring investments are made in environments conducive to growth. This approach allows for a more informed investment decision, aligning technical entries with fundamentally strong market conditions, thus potentially enhancing the strategy's effectiveness over time.
Technical Analysis Without Classical Methods:
The strategy's technical analysis diverges from traditional methods like moving averages by focusing on market structure through a trend score system.
Instead of using lagging indicators, it employs a real-time analysis of market trends by calculating the ratio of bullish to bearish breakouts. This provides several benefits:
Immediate Market Sentiment: The trend score system reacts more dynamically to current market conditions, offering insights into the market's immediate sentiment rather than historical trends, which can often lag behind real-time changes.
Reduced Overfitting: By not relying on moving averages or similar classical indicators, the strategy avoids the common pitfall of overfitting to historical data, which can lead to poor performance in new market conditions. The trend score provides a fresh perspective on market direction, potentially leading to more robust trading signals.
Clear Entry Signals: With the trend score, entry decisions are based on a clear percentage threshold, making the strategy's decision-making process straightforward and less subjective than interpreting moving average crossovers or similar signals.
Regular Contributions and Reminders:
The strategy encourages regular investments through a system of predefined frequency and amount, which could be weekly, bi-weekly, monthly, quarterly, or yearly. This systematic approach:
Enhances Compounding: Regular contributions leverage the power of compounding, where returns on investments can generate their own returns, potentially leading to exponential growth over time.
Reduces Timing Risk: By investing regularly, the strategy minimizes the risk associated with trying to time the market, spreading out the investment cost over time and potentially reducing the impact of volatility.
Automated Reminders: The script reminds users to make contributions based on their chosen schedule, ensuring consistency and discipline in investment practices, which is crucial for long-term success.
Long-Term Wealth Building:
Focused on long-term wealth accumulation, this strategy:
Promotes Patience and Discipline: By emphasizing regular contributions and a disciplined approach to both entry and risk management, it aligns with the principles of long-term investing, discouraging impulsive decisions based on short-term market fluctuations.
Diversification Across Asset Classes: Operating across crypto, stocks, and commodities, the strategy provides diversification, which is a key component of long-term wealth building, reducing risk through varied exposure.
Growth Over Time: The strategy's design to work with the market's natural growth cycles, supported by fundamental analysis, aims for sustainable growth rather than quick profits, aligning with the goals of investors looking to build wealth over decades.
This comprehensive approach, combining fundamental insights, innovative technical analysis, disciplined investment habits, and a focus on long-term growth, offers a unique and potentially effective pathway for investors seeking to build wealth steadily over time.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Prime Multi-Ticker Screener: Real-Time Market StructurePrime Multi-Ticker Screener: Real-Time Market Structure and Trend Detection Tool
Prime Multi-Ticker Screener is designed to track multiple tickers simultaneously, providing real-time insights into market trends and structure changes such as CHoCH (Change of Character) and BOS (Break of Structure). This tool is perfect for traders looking to monitor multiple assets across different timeframes while receiving clear signals that highlight critical market shifts. The indicator delivers instant visual feedback with color-coded backgrounds to make interpreting signals easy and efficient.
Core Features of Prime Multi-Ticker Screener
Multi-Ticker Monitoring: Track up to 5 tickers across multiple timeframes in a single dashboard. This makes it easy to watch several assets at once without cluttering your chart.
CHoCH and BOS Detection: The screener automatically detects and highlights significant market structure shifts. CHoCH signals are shown when a trend reverses or consolidates, while BOS signals indicate a break in previous highs or lows, helping traders catch potential trend reversals early.
Color-Coded Visuals: The background of each signal cell dynamically changes color to represent bullish or bearish signals. Green indicates bullish activity, while red highlights bearish market shifts, making it easy for traders to identify key movements at a glance.
Close Price and ATR Data: For each ticker, the screener displays both the current close price and the 14-period Average True Range (ATR), providing important volatility information to support decision-making.
Detailed Explanation of How Prime Multi-Ticker Screener Works
Prime Multi-Ticker Screener combines trend detection with real-time market structure analysis to deliver comprehensive market insights. It analyzes the following components:
CHoCH Detection: Change of Character occurs when the market switches from trending to ranging or vice versa. This indicator catches these moments by identifying when prices cross pivot levels, providing traders with a valuable signal of potential market phase changes.
BOS Detection: The Break of Structure function highlights moments when the price breaks a significant high or low, often indicating the start of a new trend or the continuation of an existing one.
Close Price & ATR Monitoring: Alongside market structure signals, the screener provides real-time data on the close price and the Average True Range (ATR), ensuring traders have a complete picture of the price and volatility landscape for each asset they are tracking.
Why It's Useful for Traders
Prime Multi-Ticker Screener is a versatile tool that offers substantial benefits to traders who want to stay informed about multiple assets and trends simultaneously:
Comprehensive Monitoring: Track multiple assets in real time, all from a single indicator. Whether you trade crypto, forex, or stocks, this tool helps you stay on top of market movements across different assets and timeframes.
Market Structure Analysis: The automatic detection of CHoCH and BOS signals gives traders an edge by identifying potential reversals and trend continuations as they happen, allowing for more timely and informed trading decisions.
Efficient and Intuitive Design: The screener is designed with simplicity in mind. The color-coded backgrounds quickly alert traders to market structure shifts without overwhelming them with data, making it ideal for those who need to act fast.
How It Works: Practical Usage
Prime Multi-Ticker Screener is ideal for:
Day traders: The real-time tracking of multiple assets allows day traders to quickly spot trading opportunities across different markets.
Swing traders: CHoCH and BOS detection help swing traders catch key market structure shifts, helping them align trades with emerging trends.
Trend followers: The screener provides instant feedback on when a trend is continuing or breaking, helping trend-following traders maintain their positions or exit early when needed.
By combining multiple key metrics—price, volatility, and market structure—Prime Multi-Ticker Screener ensures traders are well-equipped to manage their positions across a variety of assets.
Risk Disclaimer
While Prime Multi-Ticker Screener provides valuable market insights, it's important to remember:
Past performance is not indicative of future results: This screener provides analysis based on historical data, and no indicator can predict future market movements with certainty.
Market Conditions: The effectiveness of Prime Multi-Ticker Screener may vary in different market conditions, so traders should always use proper risk management when trading.
Trading Risks: Like any trading tool, Prime Multi-Ticker Screener should be used as part of a comprehensive trading strategy, including risk management techniques such as stop-loss orders and position sizing.
Mxwll Price Action Suite [Mxwll]Introducing the Mxwll Price Action Suite!
The Mxwll Price Action Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology!
Features
Internal structures
External structures
Customizable Sensitivities
BoS/CHoCH
Order Blocks
HH/LH/LL/LH Areas
Rolling TF highs/lows
Rolling Volume Comparisons
Auto Fibs
And more!
The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities.
The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified.
The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area.
The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity.
Finally, the Mxwll Price Action Suite shows relevant session information.
Table information
Current Session
Countdown to session close
Next Session
Countdown to next session open
Rolling 4-Hr volume intensity
Rolling 24-Hr volume intensity
Introducing the Mxwll SMC Suite!
The Mxwll SMC Suite is an all-in-one analysis indicator incorporating elements of SMC and also ideas extending beyond the trading methodology!
Features
Internal structures
External structures
Customizable Sensitivities
BoS/CHoCH
Order Blocks
HH/LH/LL/LH Areas
Rolling TF highs/lows
Rolling Volume Comparisons
Auto Fibs
And more!
The image above shows the indicator's market structure identification capabilities. Internal BoS and CHoCH structures in addition to overarching market structures are available with customizable sensitivities.
The image above shows the indicator identifying order blocks! Additionally, HH/LH/LL/LH areas are also identified.
The image above shows a rolling area of interest. These areas can be compared to supply/demand zones, where traders might consider a bargain long/short/sell area.
The indicator displays a rolling 4hr high/low and 1D high/low, alongside auto fibonacci levels with a customizable sensitivity.
Finally, the Mxwll Price Action Suite shows relevant session information.
Table information
Current Session
Countdown to session close
Next Session
Countdown to next session open
Rolling 4-Hr volume intensity
Rolling 24-Hr volume intensity
Expanded Features of Mxwll Price Action Suite
Internal and External Structures
Internal Structures: These elements refer to the price formations and patterns that occur within a smaller scope or a specific trading session. The suite can detect intricate details like minor support/resistance levels or short-term trend reversals.
External Structures: These involve larger, more significant market patterns and trends spanning multiple sessions or time frames. This capability helps traders understand overarching market directions.
Customizable Sensitivities
Adjusting sensitivity settings allows users to tailor the indicator's responsiveness to market changes. Higher sensitivity can catch smaller fluctuations, while lower sensitivity might focus on more significant, reliable market moves.
Break of Structure (BoS) and Change of Character (CHoCH)
BoS: This feature identifies points where the price breaks a significant structure, potentially indicating a new trend or a trend reversal.
CHoCH: Detects subtle shifts in the market's behavior, which could suggest the early stages of a trend change before they become apparent to the broader market.
Order Blocks and Market Phases
Order Blocks: These are essentially price levels or zones where significant trading activities previously occurred, likely pointing to the positions of smart money.
HH/LH/LL/LH Areas: Identifying Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), and Lower Highs (LH) helps in understanding the trend and market structure, aiding in predictive analysis.
Rolling Timeframe Highs/Lows and Volume Comparisons
Tracks highs and lows over specified rolling periods, providing dynamic support and resistance levels.
Compares volume data across different timeframes to assess the strength or weakness of the current price movements.
Auto Fibonacci Levels
Automatically calculates and plots Fibonacci retracement levels, a popular tool among traders to identify potential reversal points based on past movements.
Session Data and Volume Intensity
Session Information: Displays current and upcoming trading sessions along with countdown timers, which is crucial for day traders and those trading on session overlaps.
Volume Intensity: Measures and compares the volume within the last 4 hours and 24 hours to gauge market activity and potential breakout/breakdown movements.
Visualizations and Practical Use
Dynamic Visuals: The suite provides dynamic visual aids, such as real-time updating of high/low markers and Fibonacci levels, which adjust as new data comes in. This feature is critical in fast-paced markets.
Strategic Entry/Exit Points: By identifying order blocks and using Fibonacci levels, traders can pinpoint strategic entry and exit points, maximizing potential returns.
Risk Management: Enhanced features like session countdowns and volume intensity help in better risk management by providing traders with more data on market sentiment and potential volatility.
BigBeluga - BacktestingThe Backtesting System (SMC) is a strategy builder designed around concepts of Smart Money.
What makes this indicator unique is that users can build a wide variety of strategies thanks to the external source conditions and the built-in one that are coded around concepts of smart money.
🔶 FEATURES
🔹 Step Algorithm
Crafting Your Strategy:
You can add multiple steps to your strategy, using both internal and external (custom) conditions.
Evaluating Your Conditions:
The system evaluates your conditions sequentially.
Only after the previous step becomes true will the next one be evaluated.
This ensures your strategy only triggers when all specified conditions are met.
Executing Your Strategy:
Once all steps in your strategy are true, the backtester automatically opens a market order.
You can also configure exit conditions within the strategy builder to manage your positions effectively.
🔹 External and Internal build-in conditions
Users can choose to use external or internal conditions or just one of the two categories.
Build-in conditions:
CHoCH or BOS
CHoCH or BOS Sweep
CHoCH
BOS
CHoCH Sweep
BOS Sweep
OB Mitigated
Price Inside OB
FVG Mitigated
Raid Found
Price Inside FVG
SFP Created
Liquidity Print
Sweep Area
Breakdown of each of the options:
CHoCH: Change of Character (not Charter) is a change from bullish to bearish market or vice versa.
BOS: Break of Structure is a continuation of the current trend.
CHoCH or BOS Sweep: Liquidity taken out from the market within the structure.
OB Mitigated: An order block mitigated.
FVG Mitigated: An imbalance mitigated.
Raid Found: Liquidity taken out from an imbalance.
SFP Created: A Swing Failure Pattern detected.
Liquidity Print: A huge chunk of liquidity taken out from the market.
Sweep Area: A level regained from the structure.
Price inside OB/FVG: Price inside an order block or an imbalance.
External inputs can be anything that is plotted on the chart that has valid entry points, such as an RSI or a simple Supertrend.
Equal
Greather Than
Less Than
Crossing Over
Crossing Under
Crossing
🔹 Direction
Users can change the direction of each condition to either Bullish or Bearish. This can be useful if users want to long the market on a bearish condition or vice versa.
🔹 Build-in Stop-Loss and Take-Profit features
Tailoring Your Exits:
Similar to entry creation, the backtesting system allows you to build multi-step exit strategies.
Each step can utilize internal and external (custom) conditions.
This flexibility allows you to personalize your exit strategy based on your risk tolerance and trading goals.
Stop-Loss and Take-Profit Options:
The backtesting system offers various options for setting stop-loss and take-profit levels.
You can choose from:
Dynamic levels: These levels automatically adjust based on market movements, helping you manage risk and secure profits.
Specific price levels: You can set fixed stop-loss and take-profit levels based on your comfort level and analysis.
Price - Set x point to a specific price
Currency - Set x point away from tot Currency points
Ticks - Set x point away from tot ticks
Percent - Set x point away from a fixed %
ATR - Set x point away using the Averge True Range (200 bars)
Trailing Stop (Only for stop-loss order)
🔶 USAGE
Users can create a variety of strategies using this script, limited only by their imagination.
Long entry : Bullish CHoCH after price is inside a bullish order block
Short entry : Bearish CHoCH after price is inside a bearish order block
Stop-Loss : Trailing Stop set away from price by 0.2%
Example below using external conditions
Long entry : Bullish Liquidity Prints after bullish CHoCH
Short entry : Bearish Liquidity Prints after Bearish CHoCH
Long Exit : RSI Crossing over 70 line
Short Exit : RSI Crossing over 30 line
Stop-Loss : Trailing Stop set away from price by 0.3%
🔶 PROPERTIES
Users will need to adjust the property tabs according to their individual balance to achieve realistic results.
An important aspect to note is that past performance does not guarantee future results. This principle should always be kept in mind.
🔶 HOW TO ACCESS
You can see the Author Instructions to get access.
Break of Structure with trend table by GadatasThis indicator is designed to identify and track swing highs and lows in a given market on chart timeframe. It plots these swing highs and lows as solid lines on the chart. The indicator allows for customization of the line color and width. The selected timeframe trend is visually represented in a table located in the upper right corner of the chart. To enhance consistency, the background color of the timeframe column now elegantly matches the color of the BOS line.
The indicator follows specific rules to determine when a new high or low is created. If the current range is considered bullish (meaning the most recent breakout was to the topside), the indicator will only update the low if a candle's body falls below the current low. However, if the current range is bearish (most recent breakout to the downside), the indicator will only update the high if a candle's body rises above the current high.
When a range is identified as bullish, the indicator will continue updating the high until a swing high is formed, denoting the high of the range. The high will only change if a candle's body surpasses the previous high. The low, on the other hand, will be updated based on the last time a candle's body falls below a previous candle's low. The lowest low after this condition is met will be assigned as the low of the range.
Conversely, when a range is identified as bearish, the indicator will continue updating the low until a swing low is formed, denoting the low of the range. The low will only change if a candle's body falls below the previous low. The high, in this case, will be updated based on the last time a candle's body rises above a previous candle's high. The highest high after this condition is met will be assigned as the high of the range.
Swing highs are determined by having lower highs to the left and right, while swing lows have higher lows to the left and right. These swings are used to determine the final high or low of a bullish or bearish range, respectively.
Tis Indicator differs from other indicators by incorporating this concept to track market structure. The indicator assumes that significant market players sell before making heavy purchases in bullish ranges and buy before selling heavily in bearish ranges. The lines on the chart represent prior highs and lows, as well as the current updated highs and lows based on this theory. By using this indicator, one can gain insights into the structure of price movement and potentially identify bullish or bearish continuations. It can also provide confluence when analyzing multiple timeframes to validate trend-following strategies.
Open-source script.
It now displays both short and long condition changes along with their respective arguments:
1. In the case of a high Bos line break followed by a fall, a very long condition change is made when at least three breaks of Bos Low are observed, transitioning from very short to short then distribution , and after that to long.
2. Short conditions are indicated when a high Bos falls and the condition changes from very long to long and then accumulation, short, and very short with each break.
Additionally, the break counter column now shows positive numbers for long situations, indicating each low Bos break, and negative numbers for short situations, indicating each high Bos break.
The background color of the break counter column now changes to green for positive numbers and red for negative numbers.
Smart Money Concepts (SMC) [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category.
"Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action.
The indicator includes alerts for the presence of swing structures and many other relevant conditions.
Features
This indicator includes many features relevant to SMC, these are highlighted below:
Full internal & swing market structure labeling in real-time
Break of Structure (BOS)
Change of Character (CHoCH)
Order Blocks (bullish & bearish)
Equal Highs & Lows
Fair Value Gap Detection
Previous Highs & Lows
Premium & Discount Zones as a range
Options to style the indicator to more easily display these concepts
Settings
Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart.
Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome.
Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart.
Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH).
Confluence Filter: Filter non-significant internal structure breakouts.
Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels).
Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL.
Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart.
Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart.
Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows.
Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart.
Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart.
Auto Threshold: Filter out non-significant fair value gaps.
Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection.
Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart.
Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels.
Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart
Usage
Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals.
In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart.
Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above.
As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels.
The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator.
Conclusion
This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
Investment Boat(Yatırım Botu)English:
The investment bot plugin works according to past 90 bar(candle) statistics. It shows goals that you can use to detect cheap products and products that you buy that you can easily sell. Invest bot add-on at the best price 1 (2 (Method:) to apply the technique of buying piece by piece, or the price becomes cheaper as it increases the amount of the purchase, make an average near the bottom, and opportunity all at once and decreases capital input blocks missing bottom: method of capture: the product helps to obtain.
Features:
The investment bot does not trade for you, it informs you at the most convenient times, purchases are made manually.
By automating all reviews of the product you want to review, it eliminates the human and error factor that doesn't leave a feature you forgot to review.
According to past statistics, it examines whether the price of the product being studied is suitable for profit, you can instantly determine which product is cheaper, and avoid getting caught up in FOMO.
Shows the correct Trading Method to be made in the trend determined by Trend Tracking. (Hold in rising trend, buy - sell in horizontal trend, buy opportunity in falling trend)
It shows Trend turns with colored candles and you get push notifications in important areas when the alarm is set. This feature is very important, it helps you capture the product from the bottom and continue the process by moving your stop level.
According to Old statistics examined when collecting and selling goods, it shows possible price return zones where you can easily buy and sell the product with red(buy) and green(sell) lines.
You may receive notifications in overbought and sold zones. Even if you don't follow the important price movements associated with the product with the alarm when you install an Alarm, you know that your eyes will not stay behind.
Keep the plugin to yourself with customizable settings.
Method 1:
The investment bot piecemeal purchase technique plugin scores between 0 and 6 based on the price of the product; 3x, 5x. Let's think of the X value as $ 100. It looks like a $ 500 transaction will open for 3x points, 300 points, 5x points. thanks to purchases made using the piecemeal purchase technique, you provide an average price close to the lower price of the product that returns from the bottom. A 0x score indicates that this product is not suitable for medium-and long-term purchases, its price is expensive, but it is your job to green lines hit-and-run operations.
Example usage: we decided to buy Bitcoin we want to buy Bitcoin we divide the capital you set aside to buy Bitcoin into 21 parts (1x+2x+3x+4x+5x+6x=21x) if Bitcoin were at the current 3x level (3x+4x+5x=12x) we would divide it into 12 parts. Our initial purchase support and resistance lines after raising the price if the price rises, we thought we would make a left turn at the profit level we made, but it could be pulled down if it goes according to the price level we continue to add, in the process of adding each, when adding the product, to give a signal to return the price if we don't. Sometimes it can drop from 2 to 3 levels without adding products skipped level we can shop by adding your purchases to the current level you have decided. If you have collected enough products, all that remains is to wait for the rise, so you can collect the investment you have created from the appropriate levels, piece by piece or wholesale, at targets indicated by Green lines created according to the old statistics. Don't forget to make a profit.
Method 2:
The yellow candle and purple candle that come in trend turns indicate the most accurate times for us to get in and out of the process. The price is to see the yellow candle, we get the product from here and immediately between 1-3% here now the goal is that if the circuit does not occur and the drop will be lower, we catch the product from the bottom, but thanks to the product caught from the bottom, we can not stop a few times until this return to get the product out of the process, when there should be a stop under the yellow candle, stop losses that turn from the bottom area are very easily compensated. After you purchase the product, a rising trend if the trend breaks the current trend continues to fall, if the process exits, but does not continue to decline-a trend we expect to see goals worsen purple candle purple candle means to sell, but when we see these purple candles, how much you sell doesn't mean we're going to stop level under the purple candle, cheap and easy to buy products we don't sell if the rising trend continues, we are constantly moving under the purple candle to the stop level. You get maximum profit at the end of the transaction, but sometimes Future fake moves and needles will cause you to stop unnecessarily, unfortunately there is no solution or measure for this.
Warning: the investment bot plugin aims to shop at the right time, but before buying, supports must be withdrawn, it must be verified that the price does not fall only to act according to the plugin and to trade non-stop (even when collecting goods 10-20% should be placed, even better than losing 70-80% in possible large falls) is wrong. Depending on the chart time you use, the results calculated by the plugin may vary, and smaller time statistics give less reliable results.
Türkçe:
Yatırım Botu eklentisi geçmiş 90 bar(mum) istatistiklerine göre çalışmaktadır. Ucuzlayan ürünleri tespit etmek için kullanabileceğiniz gibi aldığınız ürünleri rahatça satabileceğiniz hedefleri de göstermektedir. Yatırım Botu eklentisi size tepeden ürün aldırmaz ürünü en uygun fiyattan alabilmeniz için (Yöntem 1:) parçalı alım tekniği uygulamanıza yada (Yöntem 2:) dip yakalamanıza yardımcı olur: Fiyat ucuzladıkça alım miktarını arttırarak ortalamanızın dibe yakın olmasını sağlar ayrıca tüm sermayeniz ile tek seferde girip düşüşlerde fırsatları kaçırmanıza engel olur.
Özellikleri:
Yatırım Botu sizin yerinize alım satım yapmaz en uygun zamanlarda sizi bilgilendirir, alımlar manuel yapılır.
İncelenmek istenen ürün ile ilgili tüm incelemeleri otomatik yaparak incelemeyi unuttuğunuz bir özellik bırakmaz insan ve hata faktörünü ortadan kaldırır.
İncelenen ürün fiyatının kazanç elde edilebilmesi için uygun durumda olup olmadığını geçmiş istatistiklere göre inceler hangi ürünün daha fazla ucuzladığını anında tespit edebilirsiniz, FOMO'ya kapılmanızın önüne geçer tepeden malı elinize veremezler.
Trend takibi ile tespit edilen trend'te yapılması doğru olan trade yöntemini gösterir. (Yükselen Trend'te Alınan Tutulur, Yatay Trend'te Al - Sat, Düşen Trend'te ise Fırsat Alımı)
Trend dönüşlerini renkli mumlar ile gösterir ve alarm kurulduğunda önemli bölgelerde anlık bildirimler alırsınız. Bu özellik çok önemlidir ürünü en dipten yakalamanıza ve stop seviyenizi taşıyarak işleme devam etmenize yardımcı olur.
Mal toplarken ve satarken incelenen eski istatistiklere göre ürünü kolayca alabileceğiniz ve satabileceğiniz muhtemel fiyat dönüş bölgelerini kırmızı(alış) ve yeşil(satış) çizgiler ile gösterir.
Aşırı alım ve satım bölgelerinde bildirim alabilirsiniz. Alarm kurduğunuzda alarm bulunan ürün ile ilgili önemli fiyat hareketlerini takip etmeseniz bile bilirsiniz, gözünüz arkada kalmaz.
Özelleştirilebilir ayarlar ile eklentiyi kendinize uydurun.
Yöntem 1:
Yatırım Botu Parçalı Alım Tekniği Eklentisi ürünün fiyatına bakarak ucuzlama durumunu 0 ile 6 arasında puanlar; 3x, 5x gibi. X değerini 100 dolar olarak düşünelim. 3x olan puana 300 dolarlık 5x olan puana 500 dolarlık işlem açılacak gibi. Parçalı alım tekniği ile yapılan alımlar sayesinde fiyatı dipten dönen ürünün dip fiyatına yakın bir ortalama sağlarsınız. 0x puanı o ürünün orta uzun vade alım için uygun olmadığını fiyatının pahalı olduğunu gösterir ancak yeşil hedeflere kadar vur kaç işlemleri yapmak sizin bileceğiniz iştir.
Örnek Kullanım: Bitcoin almaya karar verdik alım yapmak istiyoruz Bitcoin almak için ayırdığınız sermayeyi 21 parçaya bölüyoruz (1x+2x+3x+4x+5x+6x=21x) eğer Bitcoin şuan 3x alınabilir seviyede olsaydı (3x+4x+5x=12x) 12 parçaya bölecektik. İlk alımımızı destek ve direnç çizgilerini çektikten sonra fiyatın yukarı dönüş yapacağını düşündüğümüz seviyeden yapıyoruz fiyat yukarı giderse hemen kar ediyoruz ancak oldu da aşağı giderse alınabilir fiyat seviyelerine göre ekleme yapmaya devam ediyoruz her ekleme işlemi yapılırken fiyatın yukarı dönüş için bir sinyal vermesi şart ürün düşerken ekleme yapmıyoruz. Bazen ürün biz ekleme yapmadan 2 3 seviye birden düşebilir burada karar sizin atlanan seviye alımlarını mevcut seviyeye ekleyerek alım yapabilirsiniz. Yeterince ürün topladıysanız geriye sadece yükselişi beklemek kalır uygun seviyelerden toplayarak oluşturduğunuz yatırımı eski istatistiklere göre oluşturulan Yeşil Çizgilerle gösterilen hedeflerde parça parça yada toptan satabilirsiniz. Kar almayı ihmal etmeyin.
Yöntem 2:
Trend dönüşlerinde gelen sarı mum ve mor mum işleme girmemiz ve çıkmanız için en doğru zamanları gösterir. Sarı mum'u gördüğünüzde fiyat dip bölgesinden dönüş yapıyordur ürünü buradan alır ve hemen sarı mum altına stop koyarız %1-3 arasında olmalı daha fazla değil burada amaç eğer dönüş gerçekleşmez ve düşüş devam ederse işlemden çıkıp ürünü daha aşağıda gerçekleşecek dönüşten tekrar almaktır, ürünü dipten yakalayana kadar birkaç sefer stop olabiliriz ancak dipten yakalanan ürün sayesinde stop zararları çok rahat telafi edilmektedir. Ürünü aldıktan sonra bulunduğumuz trend yükselen bir trend ise kolay al-sat hedeflerinde ürünü ucuza satmıyoruz mor mum görmeyi bekliyoruz mor mum trend'in bozulabileceği anlamını taşıyor ancak kesin bozulacak elindekini sat kaç demek değildir bu nedenle mor mum'u gördüğümüzde stop seviyemizi mor mum altına taşıyoruz trend bozulur düşüş devam ederse işlemden çıkmış oluyoruz ancak düşüş devam etmez yükselen trend devam ederse stop seviyemizi sürekli mor mum altına taşıyarak ilerliyoruz. Sonunda maximum kar alarak işlemden çıkıyoruz ancak bazen gelecek fake hareketler ve iğneler gereksiz stop olmanıza neden olacaktır bunun bir çözümü yada önlemi yok malesef.
Uyarı: Yatırım Botu eklentisi doğru zamanlarda alım yaptırmayı amaçlar ancak alım yapmadan önce destekler çizilmeli fiyatın aşağı gitmediği onaylanmalıdır sadece eklentiye göre hareket etmek ve stopsuz işlem yapmak (Mal toplarken dahi %10-20 aşağıya bile olsa mutlaka konulmalıdır olası büyük düşüşlerde %70-80 kaybetmekten iyidir) yanlıştır. Kullandığınız grafik zamanına göre eklentinin hesapladığı sonuçlar değişebilir, küçük zaman istatistikleri daha az güvenilir sonuçlar verir.
