Liquidity SweeperStrategy Overview
This Pine Script implements a Liquidity Sweep Trading Strategy, a sophisticated approach that capitalizes on market manipulation tactics commonly used by institutional traders. The strategy identifies when price "sweeps" above recent swing highs or below swing lows to trigger stop losses and grab liquidity, then quickly reverses direction - creating high-probability trading opportunities.
Core Concept: What is a Liquidity Sweep?
A liquidity sweep occurs when:
Price breaks above a swing high (or below a swing low) to trigger retail stop losses
Institutional players absorb this liquidity at favorable prices
Price quickly reverses back into the previous range
This creates a "fake breakout" or "stop hunt" pattern
The strategy exploits these manipulative moves by entering trades in the direction of the reversal.
How the Strategy Works
1. Swing Point Detection
Uses a lookback period (default: 20 bars) to identify significant swing highs and lows
Employs proper pivot point detection using ta.highestbars() and ta.lowestbars()
Only considers confirmed swing points (not just recent highs/lows)
2. Liquidity Sweep Identification
High Sweep (Short Setup):
Price moves above the last swing high (triggering buy stops)
Same bar closes back below the swing high (showing rejection)
Low Sweep (Long Setup):
Price moves below the last swing low (triggering sell stops)
Same bar closes back above the swing low (showing support)
3. Confirmation Process
Requires price to stay within the swept range for a specified number of bars (default: 3)
This confirms the sweep was genuine and not just normal volatility
Prevents false signals and improves trade quality
4. Entry Logic
Long Entries: Triggered after confirmed low sweeps
Short Entries: Triggered after confirmed high sweeps
5. Risk Management
Stop Loss: Placed at a multiple of ATR (default: 1.5x) from entry price
Take Profit: Risk/Reward ratio based (default: 2:1)
Position Sizing: 10% of equity per trade (configurable)
Red X-crosses: High sweeps detected
Green X-crosses: Low sweeps detected
Red triangles (down): Short entry signals
Green triangles (up): Long entry signals
Horizontal lines: Current swing high/low levels
Info label: Shows last detected swing levels
Optimal Conditions:
Timeframes: 1H, 4H, and Daily work best
Market Conditions: Ranging and trending markets both suitable
Volatility: Moderate to high volatility preferred
Session Times: Most effective during active trading sessions
Strengths:
✅ Exploits institutional manipulation tactics
✅ Clear entry/exit rules with defined risk
✅ Works across multiple asset classes
✅ Includes proper confirmation to reduce false signals
✅ Visual clarity for manual verification
✅ Reasonable risk/reward parameters
Limitations:
⚠️ Requires patience - not a high-frequency strategy
⚠️ Market dependent - fewer signals in low volatility periods
⚠️ Needs sufficient lookback data for swing identification
⚠️ May have drawdown periods during strong trending moves
⚠️ Requires understanding of market structure concepts
Best Practices for Users
Optimization Tips:
Adjust lookback period based on timeframe (shorter for lower TFs)
Test different confirmation periods for your market
Consider market session times when backtesting
Use alongside volume analysis for additional confirmation
Risk Management:
Never risk more than 2-3% per trade of total capital
Consider reducing position size during high-impact news
Monitor correlation if trading multiple pairs simultaneously
Use additional filters (trend, support/resistance) for confluence
Backtesting Recommendations:
Test on at least 6 months of historical data
Include different market conditions (trending, ranging, volatile)
Consider transaction costs and slippage in results
Forward test on demo before live implementation
Expected Results
Based on typical liquidity sweep strategy performance:
Disclaimer
This strategy is based on market structure analysis and institutional trading behavior patterns. Past performance doesn't guarantee future results. Users should:
Thoroughly backtest before live trading
Start with small position sizes
Understand the underlying concepts before implementation
Consider combining with other analysis methods
Always use proper risk management
The strategy works best when traders understand the psychological and structural elements of liquidity sweeps rather than just following signals blindly.
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Enhanced MACD Swing Analysis增強版 MACD 擺動分析
概述
增強版 MACD 擺動分析是一個適用於 TradingView 的技術指標，它通過額外的視覺工具增強了傳統的 MACD（移動平均收斂背離），以幫助識別擺動高點和低點。該指標旨在幫助交易者可視化動能的變化，並更準確地確定市場進出位置。它提供基於可自定義閾值的動態顏色變化直方圖，並直接在圖表上繪製擺動高/低點的線條，方便分析。
功能
MACD 計算：該腳本包括傳統的 MACD 計算，並且允許調整快速長度、慢速長度和信號平滑參數。
擺動高/低點檢測：根據用戶定義的回看週期，自動檢測擺動高點和低點，並在圖表右上角顯示這些數值。
動態顏色變化直方圖：根據 MACD 比率動態改變直方圖的顏色，使交易者可以輕鬆識別不同的動能強度。顏色可以自定義，正負動能都有多種色調。
擺動高/低點線條：繪製線條以視覺化顯示擺動高點和低點，並向右延伸這些線條，以便更好地視覺指引。
參數
快速長度 (MACD Fast Length)：計算快速移動平均的週期數。預設值為 12。
慢速長度 (MACD Slow Length)：計算慢速移動平均的週期數。預設值為 26。
信號平滑 (MACD Signal Smoothing)：平滑 MACD 信號線的週期數。預設值為 9。
擺動回看範圍 (Swing Lookback Range)：回看多少根 K 線以檢測擺動高點和低點。預設值為 25。
顏色變化比率 (Color Change Ratios)：逗號分隔的比率，用於定義直方圖顏色變化的閾值。這些閾值允許用戶自定義何時基於 MACD 比率改變直方圖的顏色強度。提供了默認值。
工作原理
MACD 計算：該腳本使用用戶定義的快速和慢速長度，以及信號線平滑來計算 MACD。
直方圖顏色變化：根據 MACD 線和信號線之間的差值，計算比率以確定直方圖顏色的強度。顏色根據用戶指定的閾值進行變化，以視覺化顯示動能的變化。
擺動高/低點檢測：腳本回看一定數量的 K 線來檢測擺動高點和低點，並在圖表上繪製向右延伸的線條，方便識別。
使用方法
添加到圖表：將指標應用到您的 TradingView 圖表上，以更清晰地可視化 MACD 動能。
調整參數：根據您的交易風格自定義參數。您可以調整 MACD 長度、擺動回看範圍和顏色變化閾值。
解讀信號：使用顏色編碼的直方圖來判斷動能的強弱和方向。擺動高/低點線條有助於識別潛在的市場反轉或進出場位置。
實際應用
動能分析：使用顏色變化直方圖來評估趨勢的強度。顏色越亮表示動能越強，顏色越暗表示趨勢減弱。
擺動識別：擺動高/低點線條便於識別價格可能反轉的支撐和阻力區域。
進出場信號：當直方圖顏色強度變化時，這可能是動能轉變的早期信號，提供潛在的買入或賣出機會。
自定義
該指標高度可自定義，允許交易者修改 MACD 參數、擺動回看範圍和顏色變化閾值。這種靈活性使其適合於不同的交易風格，無論是日內交易者、擺動交易者，還是長期投資者。
Enhanced MACD Swing Analysis
Overview
The Enhanced MACD Swing Analysis script is a technical indicator for TradingView that enhances the traditional MACD (Moving Average Convergence Divergence) with additional visual tools to identify swing highs and swing lows. This indicator is designed to help traders visualize momentum shifts and determine market entry/exit points with greater accuracy. It provides dynamic color-changing histograms based on customizable thresholds and draws swing high/low lines directly on the chart for easy analysis.
Features
MACD Calculation: The script includes the traditional MACD calculation, with adjustable parameters for fast length, slow length, and signal smoothing.
Swing High/Low Detection: Automatically detects swing highs and lows based on a user-defined lookback period and displays the values in the top-right corner of the chart.
Dynamic Color-Changing Histogram: The histogram colors change dynamically based on the MACD ratio, allowing traders to easily identify different levels of momentum. The colors are customizable, with a variety of shades for both positive and negative momentum.
Swing High/Low Lines: Draws lines to visually indicate swing highs and lows, extending these lines to the right for better visual guidance.
Parameters
快速長度 (MACD Fast Length): The number of periods for the fast moving average. Default is 12.
慢速長度 (MACD Slow Length): The number of periods for the slow moving average. Default is 26.
信號平滑 (MACD Signal Smoothing): The number of periods for smoothing the MACD signal line. Default is 9.
擺動回看範圍 (Swing Lookback Range): The number of bars to look back for detecting swing highs and lows. Default is 25.
顏色變化比率 (Color Change Ratios): Comma-separated values for defining the ratios at which histogram colors change. These thresholds allow users to customize when the histogram changes its color intensity based on the MACD ratio. Default values are provided.
How It Works
MACD Calculation: The script calculates the MACD using the user-defined fast and slow lengths, along with a signal line for smoothing.
Histogram Color Change: Based on the difference between the MACD line and the signal line, a ratio is calculated to determine the intensity of the histogram's color. The color changes depending on user-specified thresholds to visually indicate shifts in momentum.
Swing High/Low Detection: The script looks back over a specified number of bars to detect swing highs and lows, which are then plotted on the chart using lines that extend to the right for easier identification.
How to Use
Add to Chart: Apply the indicator to your TradingView chart to visualize MACD momentum with enhanced clarity.
Adjust Parameters: Customize the parameters to suit your trading style. You can adjust the MACD lengths, swing lookback range, and color change thresholds as needed.
Interpret the Signals: Use the color-coded histogram to gauge momentum strength and direction. The swing high/low lines help identify key levels for potential market reversals or entry/exit points.
Practical Applications
Momentum Analysis: Use the color-changing histogram to assess the strength of a trend. Brighter colors indicate stronger momentum, while darker colors suggest weakening trends.
Swing Identification: The swing high and low lines make it easy to identify support and resistance areas where price may reverse.
Entry and Exit Signals: When the histogram color intensity changes, it could be an early indication of a shift in momentum, providing potential buy or sell opportunities.
Customization
This indicator is highly customizable, allowing traders to modify the MACD parameters, swing lookback range, and color change thresholds. This flexibility makes it suitable for different trading styles, whether you're a day trader, swing trader, or long-term investor.
RunRox - Advanced SMC⭐️ Introducing Our Advanced SMC Indicator: Elevate Your Smart Money Concept Trading
We are excited to present our innovative indicator, specifically designed for the Smart Money Concept (SMC). Our approach goes beyond the traditional SMC strategy by offering significant enhancements that can help you achieve stronger trading performance.
We employ a more sophisticated SMC structure, incorporating improved IDM (Inducement) logic, both internal and external structures, and four types of order blocks. This allows for deeper insights into market trends and a clearer understanding of how major market participants may be manipulating price action.
🟠 Indicator Features:
Structure
HTF Structure – Choose any timeframe and display its structure on your current chart.
CHoCH | BOS | IDM – Display any components from this structure.
Market Minor Structure – Swing and Minor structure.
BOS/CHoCH Breaking by (Body | Wick) – Choose the principle for building the structure, either by the candle body or by their wicks.
BOS/CHoCH Move if Swept – When liquidity is taken, decide whether to move the structure line higher or consider it a structural break.
Move CHoCH/BOS – Relocate key points on the chart if the structure becomes too large.
FVG Concept
HTF FVG – Choose any timeframe from which you want to display FVG on your current chart
Three Types of FVG – Classic FVG, Double FVG, Implied Imbalance
Reaction to FVG – Show the market’s reaction to FVG on the chart
Mitigation Method – Select the fill method that suits your approach (Touch/Midline/Complete)
Remove Filled FVG – Remove FVGs from the chart once they have been filled
Combine FVG – Merge several consecutive FVGs into one
Length FVG – Adjust the number of candles that define the FVG
OrderBlock Concept
HTF OrderBlock – Choose any timeframe from which you want to display orderblocks on your current chart
Swing and Minor Orderblocks – Display only the orderblocks you need, whether from the Swing or Minor structure
Four Types of Order Blocks – Advanced OB, Classic OB, BTS/STB zones, Extremum Candle
Block Based on – Decide whether to base the orderblock on candle highs/lows or candle open/close
Mitigation Method – Define when an orderblock is considered filled (Touch/Midline/Complete)
Remove Blocks Older – Remove older orderblocks from the chart
Hide Overlap – Disable overlapping orderblocks when they appear in the same area
Eat Young Blocks – Reduce the size of an orderblock until it fully forms
Hide Distant Blocks – Remove orderblocks that are too far from the current price
Previous Highs & Lows
Four Level Types – Day, Week, Month, Quarter
Style Customization – Choose line color, line style, and transparency
Fibonacci Retracements
10 Template Options – Ten different bases on which you can build your Fibonacci grid
Up to 7 Levels – Add up to seven Fibonacci levels for your convenience
Fibo Inversion – Option to invert the Fibonacci grid
Style Customization – Choose line colors, line styles, and transparency
Additional Functions
Premium & Discount Zones – A popular concept we’ve incorporated to help identify potential trading areas within premium or discount prices
Equal Highs & Lows – High-liquidity levels where market makers may seek liquidity
Color Candles – Automatically colors candles based on the current trend
Market Structure ZigZag – Offers a clear visual of the zigzag pattern on which the structure is built
Key Point Labels – Displays important swing high/low points directly on the chart
General Styling – Customize any chart element, including size, style, color, and transparency
Alert Customization – Over 16 types of alerts, easily configured in a few clicks. Receive only the notifications you need. Custom alerts are also available for developers.
Next, we will provide a detailed overview of all the indicator’s features, accompanied by chart examples.
📈 Structure
What Is IDM?
IDM, or the Institutional Distribution Model, is an advanced concept within SMC that focuses on how institutional players distribute their positions in the market. By analyzing IDM, traders can better anticipate price movements and potential turning points, thereby gaining a meaningful edge in their trading.
In our structure concept, IDM can form under specific conditions. The market does not always provide a high-liquidity point to work with, so we’ve adopted a flexible approach. We generate IDM when a certain type of liquidity appears during the impulse and BOS break, allowing for a potential future liquidity sweep.
Below, I will provide an example that illustrates when IDM forms as a liquidity magnet within the structure - and when it does not.
As shown in the example above, we focus on the initial impulse after the BOS. If liquidity forms during this impulse - liquidity that needs to be taken out during the structural move - we mark an IDM level as a price magnet. However, if this liquidity does not appear, we do not create an IDM. In that case, the same point might serve as an FVG or play a different role, depending on your trading approach.
This concept makes the structure more flexible and better able to respond immediately to market movements and key structural points.
Above is an example on the chart illustrating what the structure looks like both with and without IDM. As you can see, when the structural move includes pullbacks and consolidation, there is an opportunity to form an IDM as a price magnet. However, if the impulses are strong and lack pullbacks, FVG becomes the only magnet in that move. Depending on the chart, our indicator adapts to the current market conditions and highlights potential liquidity collection points.
📊 Swing and Minor Structure
In the new version of the indicator, the minor structure and the swing structure differ from each other.
Swing structure - In this structure, as mentioned earlier, the IDM concept remains a price magnet and is formed at certain points on the chart if the conditions allow. If these points do not appear, IDM might not form at all.
Minor structure - Here, we have completely removed IDM and only kept BOS and CHoCH for structure formation. We found that for a minor structure, this approach allows faster reactions to trend changes, depending on market movements.
By making these adjustments, we have resolved the main issue of the advanced structure, which was the large distance between BOS and CHoCH that sometimes resulted in a month-long consolidation between these levels. In this version, those problems no longer occur.
If, for some reason, your settings result in a larger swing structure, you can still work with the minor structure using the same POI as in the swing structure. OrderBlock and FVG remain the primary drivers of order flow.
Shown above is a screenshot of the main structure settings you can adjust. These settings are highly flexible and can be tailored to fit a wide range of trading preferences.
⚖️ FVG Concept
A new feature of our indicator is the FVG concept. We automatically detect three types of FVG at the moment, which will be explained below.
FVG - the standard Fair Value Gap
Double FVG - a double FVG, also referred to as BPR (Balanced Price Range)
Implied Imbalance - a type of imbalance that arises from buyer or seller demand
Below, we will look at examples of the FVG types we currently identify.
All price inefficiencies work in real time, immediately appearing on the chart and allowing traders to quickly respond to FVG reactions.
We have also enhanced this concept by displaying FVG reactions on the chart. If an FVG triggers a reaction and the price responds to that range, we highlight it on the chart, so you can recognize the reaction and make timely trading decisions. A screenshot below shows how this looks in practice.
Below is a screenshot illustrating the main settings of this concept, along with detailed descriptions.
📦 OrderBlock Concept
OrderBlocks provide an effective way to identify areas of interest and make informed decisions. We have dedicated significant effort to refining this section’s functionality and have achieved strong results in doing so.
Order Block Types
Advanced OrderBlock – A specialized type of order block generated by our internal algorithm. This can help traders aim for tighter entries and potentially more favorable risk-reward ratios within a narrow price range.
OrderBlock – The classic type, formed at the highs or lows of a structure when a BOS or CHoCH occurs. It can still be an effective entry method but typically spans a wider price range.
Extremum Candle – Based on liquidity grabs. The candle creating this order block must collect liquidity before making an impulsive move that breaks the BOS or CHoCH.
BTS / STB (Buy To Sell / Sell To Buy) – This concept may appear when market makers manipulate price to buy or sell an asset. It often covers a larger price range because it relies on a brief impulsive move to form.
Each type of order block has its own strengths and weaknesses. We provide traders with the flexibility to choose which types suit their trading style and preferences.
Above is an example of how you can apply OrderFlow alongside our structure and orderblocks, which can produce solid results when combined with the Smart Money concept.
In this demonstration, we have highlighted the Advanced Orderblock as an illustration.
Above is a screenshot of all the settings related to this section. They can be customized to suit your specific needs, ensuring you only see what is genuinely relevant on your chart.
📏 Previous Highs and Lows
You can select four levels to display on the chart as some of the most liquid zones:
Daily Highs and Lows
Weekly Highs and Lows
Monthly Highs and Lows
Quarterly Highs and Lows
This feature helps you identify important levels on lower timeframes and focus on these zones for potential trading opportunities. Below is an example of how it appears on the chart.
Below, you can see the settings available in this section.
📐 Fibonacci Levels
Likewise, a new section in our indicator is Fibonacci Levels, a well-known tool recognized as a reliable source of important levels on the chart. We have added this functionality with the option to choose how you want to generate these levels and which specific levels you want to display.
You can plot Fibonacci levels based on the Swing structure, Minor structure, previous or current day, month, and more. In total, there are 10 different options for constructing the Fibonacci grid.
Above, you can see an example of how it appears on the chart, and below you will find the settings available in this section.
🈹 Premium and Discount
Another useful feature for all traders is the Premium and Discount zones based on structure. This makes it easy to identify areas of interest—whether in a discount or premium zone, or in an equilibrium area.
Below, you can also see the settings available in this section.
✅ Additional Function
We have also separated a few functions into their own section:
Color Candles – Colors the candles according to the current trend.
Market Structure ZigZag – Visually highlights the zigzag used to form the structure.
Key Point Labels – Displays the points on the chart from which the structure is built.
Equal Highs & Lows – Identifies equal highs and lows as areas of potential liquidity for larger market players, as price often aims to sweep these zones.
Below are a few screenshots showing how these features appear on the chart.
Color Candles
Market Structure ZigZag and Key Point Labels
Equal Highs & Lows
Below, you can see a screenshot displaying all the settings available in this section.
🎨 General Styling
We have devoted considerable effort to providing flexible customization for each element on the chart, so you can design the exact look you want. That’s why we created an additional section where you can adjust any element’s size, style, and more.
Combined with extensive color and transparency options, this feature provides a flexible appearance for the indicator on any chart.
Below, you can see the settings available in this section
🔔 Alert Customization
You can configure over 16 types of reactions to various events on the chart. Additionally, you can set up alerts to trigger at specific fill levels and explore numerous other alert options, as shown in the screenshot below.
🟠 Usage Examples
We have also prepared several examples of how to use the indicator. These are standard entry models taken from the classic Smart Money concept.
First Example
In the screenshot above, the market displays a downward structure until a manipulation occurs, followed by a CHoCH break. This is a standard entry model featuring an entry at the nearest FVG, a stop-loss placed beyond the manipulation, and a target at the nearest liquidity zone—whether session-based or, as in our case, a gap (one of the FVG types) that price commonly revisits.
This is considered a more aggressive entry because we only waited for a single confirmation of the trend change—the CHoCH break—and then entered immediately afterward. While the WinRate might be lower in such trades, the Risk-Reward ratio is typically very high if you correctly identify the manipulation.
Second Example
This approach is more conservative and less risky, typically offering a higher WinRate but with a lower Risk-Reward ratio.
Here, we use the 4H FVG as our decision point (POI). With the indicator, we plot the 4-hour FVG on our current chart without needing to switch back and forth between timeframes.
Once price reaches our POI, we look for an entry model that includes three confirmations:
First Confirmation – A CHoCH break.
Second Confirmation – A manipulation.
Third Confirmation – A second BOS break.
We wait for all these confirmations before entering the trade, ensuring our stop-loss is well-protected since the remaining liquidity has been swept and the 4-hour FVG has been fully filled.
Our target is the full fill of a higher timeframe FVG or other high-liquidity levels below.
In a conservative setup, it is crucial to allow a complete OrderFlow to develop, including manipulations and clear breaks of lower levels. This approach helps protect the trade and often results in a higher WinRate.
🟠 Disclaimer
Past performance is not indicative of future results. To trade successfully, it is crucial to have a thorough understanding of the market context and the specific situation at hand. Always conduct your own research and analysis before making any trading decisions.
To gain access to the indicator, please review the author's instructions below this post
YD_Divergence_RSI+CMFThe ‘YD_Divergence_RSI+CMF’ indicator can find divergence using RSI (Relative Strength Index) and CMF (Chaikin Money Flow) indicators.
📌 Key functions
1. Search pivot high and pivot low points in a certain length of price.
2. Connect pivot high to pivot high , pivot low to pivot low , forming two standards for divergence in result.
The marker then plots only the higher high, lower low lines.
(higher low and lower high in prices are referred to hidden divergence, which are not considered in this indicator)
3. Compare the two standards with RSI and CMF indicators, send an alert if there is a divergence. As a result, the indicator will find four combination of divergence.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 Details
Developing the indicators, we put a lot of effort in making a customizable and user-friendly interface.
#1. Pivot Setting
Users can set the length to find the pivot high / pivot low in ‘Pivot Settings – Pivot Length.’
Increased pivot Length takes more candles to interpret the chart but reduce false signals since the it uses only the most certain pivot high / pivot low values. Obviously, decreased pivot length will act the opposite.
Users can choose whether to use ‘High/Low’ or ‘Close’ in ‘Pivot Reference’ to set the swing point of prices.
Users can also choose whether to display the pivot high / pivot low marker on the chart.
#2 RSI & CMF Settings
Users can adjust the length of RSI & CMF separately. (The default values are set to 14 and 20 each.)
#3 Label Setting
Users can adjust the text displayed on the chart label. (The default values is set to ‘Bullish / Bearish’, ‘RSI/CMF’, ‘Divergence’.)
Users can reduce the length of text label or simply turn the label off. Just click the ‘Bull/Bear’ or ‘None’ button. ‘Divergence’ works the same.
Users can decide whether to display the ‘Divergence Line and Label’, set custom settings for the label and line. (color, thickness, style, etc)
📌 Alert
Alert are provided as a combination of the chart's symbol and the set label text. For example,
‘BINANCE:BTCUSDT.P, Bullish RSI Divergence’
====================================================
"YD_Divergence_RSI+CMF" 지표 는 RSI와 CMF 지표를 이용해서 Divergence 를 찾아낼 수 있습니다.
📌 주요 기능
1. 정해진 가격 움직임 안에서 pivot high와 pivot low 포인트 를 찾아냅니다.
2. Pivot high로만 이어진 라인과, Pivot low로만 이어진 두 라인을 작도한 뒤 divergence의 기준으로 삼습니다.
이 지표에서는 normal divergence만 사용하기 때문에 차트에 higher high와 lower low만 표기 합니다.
(higher low와 lower high는 hidden divergence로 정의되며, 이 지표에서는 다루지 않습니다.
3. 두 기준선과 RSI, CMF 지표를 각각 비교하고, 결과적으로 4개의 조합을 구할 수 있습니다.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 세부 사항
지표를 개발하며 사용자들이 원하는 방향으로 지표를 설정할 수 있게 작업에 많은 공을 들였습니다. 굉장히 다양한 옵션을 선택할 수 있으며, 원하는 방식으로 지표를 사용할 수 있습니다.
#1 Pivot Setting
Pivot setting에서는 Pivot Length를 변경할 수 있습니다.
Pivot Length를 늘릴 경우, 보다 확실한 Swing High와 Swing Low만을 사용하게 되므로, False signal이 줄어들 수 있습니다. 하지만 Swing High/ Low를 판정하는 데에 더 긴 시간이 걸리게 되므로, Signal이 다소 늦게 발생하는 단점이 생기게 됩니다.
Pivot Length를 줄일 경우, 반대로 Swing High/Low의 판정이 더 빨리 일어나기 때문에, Signal을 거래에 이용하기는 좋을 수 있습니다. 다만, Swing High와 Low가 훨씬 더 잦은 빈도로 발생하기 때문에 False Signal을 줄 가능성이 높아집니다.
Pivot Reference에서는 가격의 Swing Point를 설정함에 있어, High/Low(고가/저가)를 이용할 지 Close (종가)를 이용할 지 선택할 수 있습니다.
Pivot High/Low Marker를 선택할 경우 Pivot High/ Low에 Marker가 찍히게 됩니다.
#2 RSI와 CMF Setting
RSI와 CMF Setting에서는 RSI와 CMF의 길이를 각각 설정할 수 있습니다. 기본값은 14와 20으로 설정되어 있습니다.
#3 Label Setting
Label Setting에서는 Label에 표시되는 글자를 선택할 수 있습니다.
기본값은 "Bullish / Bearish", "RSI/CMF", "Divergence"로 선택되어 있으며, 너무 길다고 느껴질 경우 "Bull/Bear" 혹은 "None"을 클릭하여 길이를 줄일 수 있습니다. 마찬가지로 Divergence의 경우도 생략이 가능합니다.
하단에서는 Divergence Line과 Label을 켜고 끌 수 있으며, 선의 색깔, 굵기, 종류, 그리고 Label의 색깔, 크기, 종류를 선택할 수 있습니다. Label의 Text 색 역시 변경이 가능합니다.
📌 얼러트
얼러트는 자신이 설정한 차트의 심볼과 Label의 문구의 조합으로 제공되며 예를 들면 다음과 같습니다.
"BINANCE:BTCUSDT.P, Bullish RSI Divergence"
Swing FilterSwing Filter allows you to identify market swings and use the settings to filter out the noise.
The concept is the same as Pine Script's built in pivothigh() and pivotlow(), except with a command center full of controls. Do you to only see swings that are a certain amount higher or lower than their neighboring candles? Want to filter out flash-crashes or freak-spikes? Do you want to count swing-highs or lows that are formed by multiple bars? ...how many? ...how strict? Do you only want swings that are already confirmed or do you want swings that are probably about to be confirmed? You get the idea.
Swing Filter was designed to be plugged into other tools. Swings are used to figure Support and Resistance in Technical Analysis (TA), so you'll find that it is swing filter working in the background of my Support & Resistance Indicator. The creator of this indicator would be happy to help you implement Swing Filter into your workflow, and even can unlock rewiring features that allow Trading View Premium customers to use outputs from other indicators as inputs to swing filter (indicator layering).
INDICATOR SETTINGS:
SWING HIGH VISIBILITY - Show the location of all filtered swing-highs, marked with green "H"
Show Unconfirmed Swing Highs - Whereas a confirmed swing high is shown with a green H, unconfirmed swing highs are shown with an orange H. Sometimes you want to see what could become a swing high before the final right-neighboring candle closes and confirms it. As long as the final right-side candle still has a lower high, we can show an unconfirmed swing high. Once the final right-side candle closes with a lower high, then we have a confirmed swing high. When the "# of Lower Bars to Right of Swing High" setting is set to a number greater than 1, keep in mind that unconfirmed candles will only ever appear one candle prior to confirmation.
# of Lower Bars to Left of Swing High - Swing highs are calculated based on being higher than neighboring candles. How many candles do you want to check to the left-side of a swing high?
# of Lower Bars to Right of Swing High - Swing highs are calculated based on being higher than neighboring candles. How many candles do you want to check to the right-side of a swing high?
Must be This % Higher Than Left Bars - Filter out highs that aren't high enough. "0.5" would require your swing highs to be at least half a percent higher than the high of its confirming left-side bars.
Must be This % Higher Than Right Bars - Filter out highs that aren't high enough. "1" would require your swing highs to be at least one percent higher than the high of its confirming right-side bars.
Multibar Highs - # Bars Allowed to Form High - Filter out or allow highs that are formed at a transition from one bar to another. Especially on low spread exchanges like GDAX, highs may be formed by many consecutive bars, formed by persistant impenetrable buy/sell walls. When using multibar highs, they are counted as a single candle: the swing high will be marked on the right-most high of the multi-bar high, and then the left-side bars are counted from the left-most high of the multi-bar high.
Multibar Highs Strict-Mode - Some multibar highs are just the result of chance, meaning that the first candle reached it's high, went back down, then the second candle reached the same high at a later time. Strict mode will filter these out and only show multibar swing highs that were formed when a candle closed at its high and the next candle opened at its same high. How strict? It allows a one penny difference (for negligible spreads). It also doesn't care about the candles' lows, which leaves room for a future super-strict mode.
*For the complete list of settings and instructions see comments below (sorry they're listed in backwards order below, and the publishing rules won't let me put them all here (too long))
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Liquidity Sweep Trap Alert (Improved)Detects high-conviction “liquidity sweep” traps (false breakouts) by comparing price against recent swing highs/lows, applying a wick-size filter and a cooldown period so that only meaningful reversal wicks trigger signals.
Shows labels on the chart and provides alert conditions when a trap occurs.
How It Works (Core Concept)
Swing High / Low Sweep
The script looks back a user-defined number of bars (Lookback Period) to identify the most recent swing high and swing low (excluding the current forming bar).
A Bull Trap is identified when price’s high exceeds that swing high intrabar but the candle closes back below it.
A Bear Trap is identified when price’s low dips below that swing low intrabar but the candle closes back above it.
Wick-Size Filter
To avoid tiny “micro-sweeps,” the script measures the length of the reversal wick (the distance beyond the swing high or below the swing low) as a percentage of the bar’s total range.
Only if this wick percentage ≥ Min Wick/Range % does the raw trap condition qualify for further consideration.
Cooldown Mechanism
After a trap fires, the same type of trap (bull or bear) is suppressed for a specified number of bars (Cooldown Bars).
This prevents back-to-back signals in choppy conditions and ensures each trap has breathing room before the next.
Confirmed on Close
Signals only trigger once the bar has closed (barstate.isconfirmed), eliminating “ghost” signals that flash intrabar and then vanish.
Chart Labels & Alerts
When a trap is confirmed, a label (“Trap ↑” for bull, “Trap ↓” for bear) is plotted above/below the bar (toggleable via Show Trap Labels).
Built-in alertcondition calls allow users to create native TradingView alerts tied to these confirmed traps.
Inputs & Usage
Lookback Period (bars)
Defines how many bars back to compute the recent swing high/low.
Shorter values catch more frequent, smaller swings; longer values focus on larger pivots.
Show Trap Labels
Toggle on/off the on-chart label markers.
Cooldown Bars
Number of bars to wait after a trap fires before allowing the same trap type again.
Higher values reduce signal frequency; set lower if you want more frequent triggers.
Min Wick/Range %
Minimum required wick length (beyond the swing level) as a percentage of that bar’s high–low range.
Increase to filter out weak or noise-driven sweeps; decrease if you want to capture smaller reversals.
Recommended Settings & Markets
Timeframes: Works on any timeframe (e.g., 5m, 15m, 1h, daily). Adjust inputs per instrument volatility.
Crypto (e.g., BTC): Typical starting values might be Lookback = 10, Min Wick % = 0.10–0.20, Cooldown = 3–5 bars.
Equities / Indices (e.g., Nifty, Bank Nifty): Use higher Min Wick % (e.g., 0.30–0.50) and adjust volume-based filters externally. Cooldown may be 3–5 bars on daily charts.
Testing: Always backtest or visually review sample signals before live trading. Tune Lookback and Min Wick % to balance hit-rate vs. false positives.
Originality & What Makes It Different
Beyond Simple Breakout Alerts: Instead of alerting on any breakout, this indicator specifically looks for false breakouts (liquidity sweeps) where smart money may trap retail stops.
Wick-Size Threshold: Many scripts flag any high above a swing high; here, the reversal wick must be a configurable percentage of the bar’s range, filtering out minor spikes.
Cooldown Logic: Prevents repeated signals in tight ranges, unlike basic breakout or pivot indicators that may fire repeatedly.
Confirmed on Close: Eliminates intrabar flicker signals, ensuring each alert is based on a completed bar.
Lightweight & Self-Contained: No external dependencies; works standalone on the chart. Users can hook native TradingView alerts to these conditions.
How to Use
Add to Chart: Apply the published script; no need for additional overlays.
Configure Inputs: Open settings and set:
Lookback Period to match swing size you target.
Min Wick/Range % to filter out small reversals.
Cooldown Bars so signals aren’t clustered.
Toggle Show Trap Labels on/off.
Set Alerts: In TradingView Alerts, choose “Bull Trap Detected” or “Bear Trap Detected” as the condition.
Interpret Signals:
Bull Trap: Price tried to break above a recent high but failed—potential short opportunity or exit long.
Bear Trap: Price tried to break below a recent low but failed—potential long opportunity or exit short.
Combine with Risk Management: Always apply your own stop-loss and take-profit rules; use the trap signal as one element of your trade decision.
Chart Examples & Annotations
Clean Example Chart: Display only this indicator on the chart using default inputs or example settings.
Annotation Guidance: If you include manual drawings in screenshots, clearly explain:
“Red label marks the bar where price spiked above the 10-bar swing high, closed below it with wick ≥ 10% of range, and no prior bull trap in last 5 bars → Bull Trap.”
Avoid unrelated scripts or decorative drawings that aren’t described.
Disclaimer
Not Financial Advice: Signals indicate potential reversal setups but do not guarantee outcomes. Trade at your own risk.
Use Proper Risk Management: Always define stop-loss, position size, and consider market context.
Test Before Live: Review historical signals and backtest manually or via strategy tester if possible.
MMM @MaxMaserati 2.0MMM @MaxMaserati 2.0 - TradingView Indicator
The Backbone of the Max Maserati Method
The MMM @MaxMaserati 2.0 indicator is the core of the proprietary Max Maserati Method (MMM), a trading system designed to decode institutional price action. It integrates candle bias analysis, market structure identification, volume-based signals, and precise entry zones to align traders with smart money.
Core Components of the MMM System
1. Six Core Candle Classifications
Master these patterns to reveal institutional behavior:
Bullish Body Close: Closes above previous high, signaling strong buying.
Bearish Body Close: Closes below previous low, indicating intense selling.
Bullish Affinity: High tests previous low, closes within range, showing hidden bullish strength.
Bearish Affinity: Low tests previous high, closes within range, reflecting bearish pressure.
Seek & Destroy: Breaks both previous high/low, closes inside, direction depends on close.
Close Inside: High/low within previous range, bias based on close.
2. Plus/Minus Strength System
Quantifies candle conviction:
Bullish Strength: Low to close distance.
Bearish Strength: High to close distance.
Plus (+): Dominant strength signals strong follow-through.
Minus (-): Balanced strengths suggest caution.
3. PO4 Candles (Power of OHLC (4))
Analyzes OHLC for body-closed candles after swing high/low fractals:
C2: Body close above high/below low post fractal with strength conditions.
C3: Stronger body close with pronounced low/high breakouts.
C4: Body close which show strength and might trigger a BeB/BuB
Visualization: Green (bullish), purple (bearish) bars; triangle markers for fractals.
4. MC2 (High Volume Reversal Candles)
High buy/sell volume candles reversed by opposing volume:
Bullish MC2: Buy volume flipped by sell volume, signaling exhaustion.
Bearish MC2: Sell volume flipped by buy volume, indicating reversal.
Visualization: Dark green (bullish), dark red (bearish) bars.
5. MMM Blocks (eBlocks and iBlocks)
Marks institutional order blocks:
External Blocks (eBlocks): At market structure changes (MSC), labeled BuB/BeB.
Internal Blocks (iBlocks): Within trends, labeled L/S.
Volume: Normalized with indicators (🔥 high, ↑ above average, ↓ low).
Filters: Discount (0-50), premium (50-100), extreme (0-20, 80-100), mid-range (20-50, 50-80).
6. Entry Blocks - Specific Entry Areas
Entry Blocks are precise zones for framing trades based on the MMM system, triggered post-MSC to capitalize on institutional momentum:
Purpose: Pinpoint high-probability entry areas following a Market Structure Change (MSC), aligning with smart money direction.
Formation:
MMM Entry Block Long: Forms after a bullish MSC (BuB), typically at the swing low (e.g., lowerValueMSC) of the fractal pattern, marking a long entry zone.
MMM Entry Block Short: Forms after a bearish MSC (BeB), typically at the swing high (e.g., upperValueMSC), marking a short entry zone.
Styles :
Close-to-Swing High/Low: Box drawn from the candle’s close to the swing high/low level, emphasizing the fractal pivot.
High/Low-to-Close: Box drawn from the candle’s high/low to its close, capturing the full price action range.
Visualization:
Labeled “MMM Entry Block Long” (cyan background/border) or “Short” (pink background/border).
Includes a dashed midline for reference.
Volume displayed if enabled, normalized with markers (🔥 >150%, ⚡ >120%, ❄️ <70%).
Behavior:
Deletes when price touches the level (On Level Touch) or closes beyond it (On Candle Close)
Limited to a configurable number ( default 5) to avoid clutter.
Trade Framing:
Entry: Enter within the eBreak box, ideally on a pullback or confirmation candle aligning with MMM bias (e.g., Bullish Body Close or Affinity).
Stop-Loss: Placed below the eBreak low (bullish) or above the high (bearish), leveraging the swing level as support/resistance.
Take-Profit: Targets higher timeframe high (bullish) or low (bearish), with ratio (default 2.0) for risk-reward.
MMM Integration: Use candle bias (Plus/Minus), PO4 signals, and MMPD consensus to confirm entry direction and strength.
Significance: eBreaks frame trades by isolating institutional entry points post-MSC, reducing noise and enhancing precision.
7. Market Structure Change (MSC)
Tracks structure shifts:
Detection: Fractal highs/lows with adjustable candle count.
Visualization: Green (BuB), red (BeB) lines/labels; numbered breaks (Bub1/Beb1).
Counter: Tracks consecutive MSCs for trend strength.
8. MMPD (Market Momentum Price Delivery)
Analyzes momentum/trend:
Conditions: Red (bearish), Green (bullish), Pink (modifying bearish), Pale Green (modifying bullish).
Traps: Flags bullish/bearish traps when MMPD conflicts with body close.
Metrics: SuperMaxTrend, momentum (K/D), MMPD level.
Consensus: Rated signals (e.g., “Very Strong Buy ★★★★★”).
9. Trade and Risk Management
Disciplined trading:
Entry Visualization: Entry, stop-loss, take-profit lines/labels with customizable risk (riskAmount, default $50) and reward (ratio).
Behavior: Shows last/all entries, removes on MSC shift or breach.
Text Size: Tiny, Small, Normal.
NB: The Trade and risk management is to use with caution, it is not fully implemented yet.
10. Stats Table
Real-time dashboard:
Elements: Timeframe, symbol, candle bias, strength, MMPD, momentum, SuperMaxTrend, MMPD level, volume, consensus, divergence, delta MA, price delivery, note (“Analyze | Wait | Repeat”).
Customization: Position, size, element visibility.
Colors: Green (bullish), red (bearish), orange (warnings), gray (neutral).
11. Delta MA and Divergence
Monitors volume delta:
Delta MA: Smoothed delta with direction arrows (↗↘→).
Divergence: Flags MMPD-momentum divergences (⚠️).
Key Features
Automated Analysis: Detects PO4, MSC, blocks, MC2, Entry Block via OHLC.
Color-Coded Visualization: Bars, lines, table cells reflect bias/strength.
Dynamic Bias Lines: Higher timeframe high/low lines with labels.
Volume Analysis: Normalized volume across blocks, entries, MC2.
Flexible Filters: Tailors block/entry Block display to strategies.
Real-Time Metrics: Tracks strength, delta, trend points.
Trading Advantages
Institutional Insight: Decodes manipulation via OHLC and volume.
Early Reversals: Spots shifts via PO4, MC2, MSC, Entry Blocks.
Precise Entries: entry block frame high-probability trades.
Robust Risk Management: Stop-loss, take-profit, risk-reward.
Simplified Complexity: Actionable signals from complex action.
Profit Target Framework
Bullish: Higher timeframe high.
Bearish: Higher timeframe low.
Plus Strength: Direct move.
Minus Strength: Pullbacks expected.
Entry Blocks/MSC-Driven: Entry anchor entries to MSC targets.
Trader’s Mantra
“Analyze | Wait | Repeat” - Discipline drives profits.
The MMM @MaxMaserati 2.0 indicator, with Entry Blocks as specific trade-framing zones, offers a professional-grade framework for precise, institutional-aligned trading.
Note: Based on the proprietary Max Maserati Method for educational and analytical use.
[Strategy]Turtle's 20day High Low Break StrategyJapanese below / 日本語説明は下記
Overview
I have made this strategy mimicking the legendary traders group, Turtle’s 20days high low break strategy with more options available for take profit(TP) and stop loss(SL) conditions.
The main component of the strategy is same as my indicator, Previous N days/weeks/months high/low(see the link below) and with this strategy, you can backtest previous N days high/low break strategy.
Unlike the indicator, you can specify another previous N days high/low as TP condition. This is because Turtle used 10days low as TP condition for 20days high break buy strategy, according to articles/books about them.
ATR and other factors which is said to be used in their original strategy are not included in this strategy.
Previous N Days/Weeks/Months High Low
What is Turtle?
Turtle is the group of traders founded by Richard Dennis and William Eckhardt to prove their theory that good traders can be trained or not.
It is said that Turtle had made more than 175 million dollars over 5 years and some of the traders has become fund managers or successful individual traders even after the experiment.
What is this strategy like?
The strategy generates long entries once prices break previous N days highs and short entries when previous N days lows broken.
N is user input so you can adjust it for your own strategy.
As mentioned above, you can also specify another set of different previous N days high/low for TP conditions.
e.g. 55 days high(low) break for entry and 20days low(high) break for take profit condition.
How to use it?
What this strategy shows is almost same as the indicator, Previous N days/weeks/months high/low.
It displays previous N days/weeks/months highs and lows and you can set up entry condition based on previous N days high/low.
Previous N weeks/months highs/lows can be used as take profit points when you develop your own strategy based on this.
See the parameters below for the rest of the details.
Parameters
TP condition:
You can select from “Pips”, “When opposite entries” or “Previous high low break”.
When “When opposite entries” selected, the strategy exits the open positions when opposite directional entries happened. e.g. Long positions will be closed when short entries made.
If you would like to exit positions with specific previous N days highs/lows, you can enter N in Previous N days High/Low for TP field with “Previous high low break” selected.
SL condition:
You can select from “Pips” or “Swing High/Low”.
If “Swing High/Low” selected, left bars and right bars need input to determine swing high/low.
Note: If you select “pips” in TP/SL conditions, it currently works only for forex pairs.
What timeframe is the best for this strategy?
As this strategy is for swing trading, longer timeframes are the best.
Base on my quick check upon strategy’s performance over USD pairs in forex, daily timeframe works best, however, it could fit in with lower timeframes such as 4H and 1H by adjusting TP/SL conditions.
Look at the sample result below. The result shows the strategy’s performance for USDJPY for over 40 years on Daily timeframe and it performs fairly good with more than 2 profit factor over long period of time with up-trending equity curve.
It is just a simulation but the data shows Turtle’s strategy still works.
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概要
伝説のトレーダー集団タートルの20日高値・安値ブレイク手法を模倣して作成したストラテジーです。
利益確定や損切り条件を設定可能なようにして、より柔軟性を持たせています。
ストラテジーの主要な構造は過去にリリースしたインジケーターPrevious N days/weeks/months high/lowと同じです(下記リンク参照)。
このストラテジーを使うと、過去N日高値・安値のブレイク手法のバックテストを行うことが可能です。
また、前述のインジケーターとは異なり、このストラテジーでは利益確定条件のために、もう一つ別の過去N日高値・安値を設定することができます。これはタートルが20日高値のブレイクで買いエントリーを行う場合、10日安値ブレイクを手仕舞いの基準として使っていたことからです。
タートルのオリジナル手法ではATRやその他の要素も用いられていたようですが、このストラテジーには含まれていません。
Previous N Days/Weeks/Months High Low
タートルとは何か？
タートルとは、「優れたトレーダーは育成可能か？」の問いを証明するために、投資家リチャード・デニス氏とウィリアム・エックハート氏によって組織されたトレーダー集団です。
タートルは5年間に渡って1億7千5百万ドル以上を稼ぎ出したと言われており、この実験終了後にはヘッジファンドを運営する者や個人投資家として成功したトレーダーを輩出したことで知られています。
このストラテジーの特徴
このストラテジーは、価格が過去N日高値をブレイクした時にロングエントリーを、過去N日安値をブレイクした時にショートエントリーを実行します。
Nはパラメーターで指定可能なので、皆さんの独自の手法開発のために調整することができます。
また、前述の通り、利益確定条件としてエントリー条件とは別の過去N日高値・安値を指定することが可能です。
例：エントリーには55日の高値・安値のブレイクを用い、決済には20日高値・安値のブレイクを用いるなど。
使い方
このストラテジーは前述のインジケーターとほぼ同じ内容のラインを表示します。
過去N日、N週間、Nヶ月の高値・安値を表示でき、エントリーの条件として過去N日高値・安値を指定することができます。
過去N週・Nヶ月高値・安値ラインは利益確定の目安に用いるなど、皆さんが独自の手法を構築するときの参考として使ってください。
その他のパラメーターについては以下の詳細を参照ください。
パラメーター：
TP condition（利益確定条件）:
“Pips(Pips指定)”, “When opposite entries(逆方向エントリー時)” or “Previous N days high low break(過去N日高値・安値)”から選択することができます。
“When opposite entries” を選択した場合、現在のポジションは、現在ポジションとは逆方向のエントリー条件が満たされた時に、決済されます。
例: ロングポジションはショートのエントリーが実行されると同時に決済される。
特定の過去N日高値・安値ブレイクを決済条件としたい場合は、“Previous N days high low break”を選択の上、該当するN日を”Previous N days High/Low for TP”の項目に入力してください。
SL condition(損切り基準):
“Pips(Pips指定)”、“Swing High/Low(スウィングハイ・ロー)”から選択することができます。
“Swing High/Low”選択時は、高値・安値決定に必要な左右のバーの本数を指定します。
注：TP、SL条件でPipsを選択した場合は、現時点では為替通貨ペアのみに機能します。
このストラテジーに最適の時間軸は？
当ストラテジーはスウィングトレードの手法となっているため、長期の時間軸が適しています。
為替のドルストレートペアでの結果を見てみると日足が最も適していますが、利益確定や損切り条件を調整することで、4時間足や1時間足向きにもアレンジできると思います。
上に示したストラテジーの例は、ドル円の日足における過去40年間以上でのバックテストの結果ですが、これだけの長期に渡って右上がりのエクイティカーブとともにプロフィットファクター2近くを維持するなど、かなり良い結果と言えるのではないでしょうか。
これは一つのシミュレーション結果に過ぎませんが、データを見る限りタートルの手法は現在でも機能すると言えるでしょう。
Scalping MasterMarket Structure Analysis:
Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest).
Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai.
BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai.
Order Blocks (OB):
Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain.
Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai.
Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai.
Fair Value Gaps (FVG):
Price gaps (bullish aur bearish) ko detect aur plot karta hai.
Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai.
FVGs ko extend karne ka option deta hai (visual representation ke liye).
Equal Highs/Lows (EQH/EQL):
Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain.
Bars confirmation aur sensitivity threshold ke saath customizable hai.
Previous Highs/Lows (MTF):
Daily, weekly, aur monthly high/low levels ko plot karta hai.
Line style (solid, dashed, dotted) aur colors customizable hain.
Premium/Discount Zones:
Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain.
Visual Customization:
Color Themes: Colored ya monochrome themes ke options.
Candle Coloring: Trend ke hisaab se candles ko color karta hai.
Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai.
Modes:
Historical Mode: Past data ke saath complete structure dikhata hai.
Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye.
Alerts:
Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option.
Swing Points aur Trailing:
Strong/weak high aur low points ko track karta hai.
Trailing maximum/minimum ko extend karta hai for real-time analysis.
Kya Kya Mila Kar Bana Hai?
Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai:
Pivot Point Analysis:
ta.highest aur ta.lowest functions se swing highs/lows detect karta hai.
Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings).
Price Action Concepts:
Break of Structure (BOS): Jab price pivot high/low ko break karta hai.
Change of Character (CHoCH): Jab trend reverse hota hai.
Confluence filtering ke saath accuracy improve karta hai.
Order Blocks:
Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use.
Bullish aur bearish order blocks ke liye customizable colors.
Fair Value Gaps:
Gaps in price action ko detect karne ke liye OHLC data ka analysis.
Timeframe aur auto-threshold ke saath flexibility.
MTF (Multi-Timeframe) Analysis:
Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations.
Zones Detection:
Premium, equilibrium, aur discount zones ke liye price range calculations.
Visual Tools:
Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new).
Extendable lines aur boxes for better visibility.
User Inputs:
Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain.
Technical Components
PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations.
Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box).
Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting.
Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions.
Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Algo Structure [ValiantTrader_]Explanation of the "Algo Structure" Trading Indicator
This Pine Script indicator, created by ValiantTrader_, is a multi-timeframe swing analysis tool that helps traders identify key price levels and market structure across different timeframes. Here's how it works and how traders can use it:
Core Components
1. Multi-Timeframe Swing Analysis
The indicator tracks swing highs and lows across:
The current chart timeframe
A higher timeframe (weekly by default)
An even higher timeframe (monthly by default)
2. Swing Detection Logic
Current timeframe swings: Identified when price makes a 3-bar high/low pattern
Higher timeframe swings: Uses the highest high/lowest low of the last 3 bars on those timeframes
3. Visual Elements
Horizontal lines marking swing points
Labels showing the timeframe and percentage distance from current price
An information table summarizing key levels
How Traders Use This Indicator
1. Identifying Key Levels
The indicator draws recent swing highs (red) and swing lows (green)
These levels act as potential support/resistance areas
Traders watch for price reactions at these levels
2. Multi-Timeframe Analysis
By seeing swings from higher timeframes (weekly, monthly), traders can:
Identify more significant support/resistance zones
Understand the broader market context
Spot confluence areas where multiple timeframes align
3. Measuring Price Distance
The percentage display shows how far current price is from each swing level
Helps assess potential reward/risk at current levels
Shows volatility between swings (wider % = more volatile moves)
4. Table Summary
The info table provides a quick reference for:
Exact price levels of swings
Percentage ranges between highs and lows
Comparison across timeframes
5. Trading Applications
Breakout trading: When price moves beyond a swing high/low
Mean reversion: Trading bounces between swing levels
Trend confirmation: Higher highs/lows in multiple timeframes confirm trends
Support/resistance trading: Entering trades at swing levels with other confirmation
Customization Options
Traders can adjust:
The higher timeframes analyzed
Whether to show the timeframe labels
Whether to display swing levels
Whether to show the info table
The indicator also includes price alerts for new swing highs/lows on the current timeframe, allowing traders to get notifications when market structure changes.
This tool is particularly valuable for traders who incorporate multi-timeframe analysis into their strategy, helping them visualize important price levels across different time perspectives
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
ICT FVG & Swing Detector Basic by Trader RiazICT FVG & Swing Detector Basic by Trader Riaz
Unlock Precision Trading with the Ultimate Fair Value Gap (FVG) and Swing Detection Tool!
Developed by Trader Riaz , the ICT FVG and Swing Detector Basic is a powerful Pine Script indicator designed to help traders identify key market structures with ease. Whether you're a day trader, swing trader, or scalper, this indicator provides actionable insights by detecting Bullish and Bearish Fair Value Gaps (FVGs) and Swing Highs/Lows on any timeframe. Perfect for trading forex, stocks, crypto, and more on TradingView!
Key Features:
1: Bullish and Bearish FVG Detection
- Automatically identifies Bullish FVGs (highlighted in green) and Bearish FVGs (highlighted in red) to spot potential reversal or continuation zones.
- Displays FVGs as shaded boxes with a dashed midline at 70% opacity, making it easy to see the midpoint of the gap for precise entries and exits.
- Labels are placed inside the FVG boxes at the extreme right for clear visibility.
2: Customizable FVG Display
- Control the number of Bullish and Bearish FVGs displayed on the chart with user-defined inputs (fvg_bull_count and fvg_bear_count).
- Toggle the visibility of Bullish and Bearish FVGs with simple checkboxes (show_bull_fvg and show_bear_fvg) to declutter your chart.
3: Swing High and Swing Low Detection
- Detects Swing Highs (blue lines) and Swing Lows (red lines) to identify key market turning points.
- Labels are positioned at the extreme right edge of the lines for better readability and alignment.
- Customize the number of Swing Highs and Lows displayed (swing_high_count and swing_low_count) to focus on the most recent market structures.
4: Fully Customizable Display
- Toggle visibility for Swing Highs and Lows (show_swing_high and show_swing_low) to suit your trading style.
- Adjust the colors of Swing High and Low lines (swing_high_color and swing_low_color) to match your chart preferences.
5: Clean and Efficient Design
- Built with Pine Script v6 for optimal performance on TradingView.
- Automatically removes older FVGs and Swing points when the user-defined count is exceeded, keeping your chart clean and focused.
- Labels are strategically placed to avoid clutter while providing clear information.
Why Use This Indicator?
Precision Trading: Identify high-probability setups with FVGs and Swing points, commonly used in Smart Money Concepts (SMC) and Institutional Trading strategies.
User-Friendly: Easy-to-use inputs allow traders of all levels to customize the indicator to their needs.
Versatile: Works on any market (Forex, Stocks, Crypto, Commodities) and timeframe (1M, 5M, 1H, 4H, Daily, etc.).
Developed by Trader Riaz: Backed by the expertise of Trader Riaz, a seasoned trader dedicated to creating tools that empower the TradingView community.
How to Use:
- Add the Custom FVG and Swing Detector to your chart on TradingView.
- Adjust the input settings to control the number of FVGs and Swing points displayed.
- Toggle visibility for Bullish/Bearish FVGs and Swing Highs/Lows as needed.
- Use the identified FVGs and Swing points to plan your trades, set stop-losses, and target key levels.
Ideal For:
- Traders using Smart Money Concepts (SMC), Price Action, or Market Structure strategies.
- Those looking to identify liquidity grabs, imbalances, and trend reversals.
- Beginners and advanced traders seeking a reliable tool to enhance their technical analysis.
Happy trading!
16. SMC Strategy with SL - low TimeframeOverview
The "SMC Strategy with SL - low Timeframe" is a comprehensive trading strategy that uses key concepts from Smart Money Theory to identify favorable areas in the market for buying or selling. This strategy takes advantage of price imbalances, support and resistance zones, and swing highs/lows to generate high-probability trade signals.
The key features of this strategy include:
Swing High/Low Analysis: Used to determine the Premium, Equilibrium, and Discount Zones.
Order Block Integration: An added layer of confluence to identify valid buy and sell signals.
Trend Direction Confirmation: Using a Simple Moving Average (SMA) to determine the overall trend.
Entry and Exit Rules: Based on price position relative to key zones and moving average, along with optional stop-loss and take-profit levels.
Detailed Description
Swing High and Swing Low Analysis
The script calculates Swing High and Swing Low based on the most recent price highs and lows over a specified look-back period (swingHighLength and swingLowLength, set to 8 by default).
It then derives the Premium, Equilibrium, and Discount Zones:
Premium Zone: Represents potential resistance, calculated based on recent swing highs.
Discount Zone: Represents potential support, calculated based on recent swing lows.
Equilibrium: The midpoint between Swing High and Swing Low, dividing the price range into Premium (above equilibrium) and Discount (below equilibrium) areas.
Zone Visualization
The strategy plots the Premium Zone (resistance) in red, the Discount Zone (support) in green, and the Equilibrium level in blue on the chart. This helps visually assess the current price relative to these important areas.
Simple Moving Average (SMA)
A 50-period Simple Moving Average (SMA) is added to help identify the trend direction.
Buy signals are valid only if the price is above the SMA, indicating an uptrend.
Sell signals are valid only if the price is below the SMA, indicating a downtrend.
Entry Rules
The script generates buy or sell signals when certain conditions are met:
A buy signal is triggered when:
Price is below the Equilibrium and within the Discount Zone.
Price is above the SMA.
The buy signal is further confirmed by the presence of an Order Block (recent lowest price area).
A sell signal is triggered when:
Price is above the Equilibrium and within the Premium Zone.
Price is below the SMA.
The sell signal is further confirmed by the presence of an Order Block (recent highest price area).
Order Block
The strategy defines Order Blocks as recent highs and lows within a look-back period (orderBlockLength set to 20 by default).
These blocks represent areas where large players (smart money) have historically been active, increasing the probability of the price reacting in these areas again.
Trade Management and Trade Direction
The user can set Trade Direction to either "Long Only," "Short Only," or "Both." This allows the strategy to adapt based on market conditions or trading preferences.
Based on the Trade Direction, the strategy either:
Closes open trades that are against new signals.
Allows only specific directional trades (either long or short).
Stop-loss levels are defined based on a fixed percentage (stop_loss_percent), which helps to manage risk and minimize losses.
Exit Rules
The strategy uses stop-loss levels for risk management.
A stop-loss price is set at a fixed percentage below the entry price for long positions or above the entry price for short positions.
When the price hits the defined stop-loss level, the trade is closed.
Liquidity Zones
The script identifies recent Swing Highs and Lows as potential liquidity zones. These are levels where price could react strongly, as they represent areas of interest for large traders.
The liquidity zones are plotted as crosses on the chart, marking areas where price may encounter significant buying or selling pressure.
Visual Feedback
The script uses visual markers (green for buy signals and red for sell signals) to indicate potential entries on the chart.
It also plots liquidity zones to help traders identify areas where stop hunts and liquidity grabs might occur.
Monthly Performance Dashboard
The script includes a performance tracking feature that displays monthly profit and loss metrics on the chart.
This dashboard allows the trader to see a visual representation of trading performance over time, providing insights into profitability and consistency.
The table shows profit or loss for each month and year, allowing the user to track the overall success of the strategy.
Key Benefits
Smart Money Concepts (SMC): This strategy incorporates SMC principles like order blocks and liquidity zones, which are used by institutional traders to determine potential market moves.
Zone Analysis: The use of Premium, Discount, and Equilibrium zones provides a solid framework for determining where to enter and exit trades based on price discounts or premiums.
Confluence: Signals are not taken in isolation. They are confirmed by factors like trend direction (SMA) and order blocks, providing greater trade accuracy.
Risk Management: By integrating stop-loss functionality, traders can manage their risks effectively.
Visual Performance Metrics: The monthly and yearly performance dashboard gives valuable feedback on how well the strategy has performed historically.
Practical Use
Buy in Discount Zone: Traders would be looking to buy when the price is discounted relative to its recent range and is above the SMA, indicating an overall uptrend.
Sell in Premium Zone: Conversely, traders would be looking to sell when the price is at a premium relative to its recent range and below the SMA, indicating an overall downtrend.
Order Block Confirmation: Ensures that buying or selling is supported by historical price behavior at significant levels, providing confidence that the market is likely to react at these areas.
This strategy is designed to help traders take advantage of price inefficiencies and areas where institutional traders are likely to be active, increasing the odds of successful trades. By leveraging Smart Money concepts and strong technical confluence, it aims to provide high-probability trade setups.
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.
Smart Structure Breaks & Order BlocksOverview (What it does)
The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition.
Main Components
Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points.
BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover.
OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone.
Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states.
Input Parameters
Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings.
Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten.
Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows.
Show Swing Points (default ON): Displays triangles on swing highs/lows.
Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover).
Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF).
Signal Definition & Logic
Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel.
BOS (Break of Structure):
Bullish – close breaks last swing high.
Bearish – close breaks last swing low.
Only one valid BOS per swing (avoids duplicates).
OB Detection:
Bullish BOS → previous bearish candle with lowest low forms the OB.
Bearish BOS → previous bullish candle with highest high forms the OB.
Zones: Bull = green, Bear = red, semi-transparent, extended to the right.
Zone States:
Mitigated: Price touches the zone → border highlighted.
Invalidated:
Bull zone → close below → turns red.
Bear zone → close above → turns green.
Chart Appearance
Swing High: red triangle above bar
Swing Low: green triangle below bar
Bull OB: green zone (border highlighted on touch)
Bear OB: red zone (border highlighted on touch)
Invalid Zones: Bull zones turn reddish, Bear zones turn greenish
Practical Use (Trading Assistance)
Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends.
Focus on First Touch: First mitigation after BOS often has higher reaction probability.
Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.).
Stops/Targets:
Bull – stop below zone, partial take profit at swing high or resistance.
Bear – stop above zone, partial take profit at swing low or support.
Parameter Tuning (per market/timeframe)
Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise.
Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals.
Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments.
Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones.
Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter.
Strengths
Standardizes BOS and OB detection that is usually subjective.
Tracks mitigation and invalidation automatically.
Adaptable: allows body/wick zone switching for different instruments.
Limitations
Pivot-based: Signals appear only after pivots confirm (slight lag).
Zones reflect past balance: Can fail after new events (news, earnings, macro data).
Range-heavy markets: More false BOS; consider stricter settings.
Backtesting: This script is for drawing/visual aid; trading rules must be defined separately.
Workflow Example
Identify higher timeframe trend (4H/Daily).
On lower TF (15–60m), wait for BOS and new OB.
Enter on first mitigation with confirmation candle.
Stop beyond zone; targets based on R multiples and swing points.
FAQ
Q: Why are zones invalidated quickly?
A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise.
Q: What does “tagged” mean?
A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled.
Q: Body or Wick zones?
A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas.
Customization Tips (Code perspective)
Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones.
Automated testing: Add strategy.entry/exit for rule-based backtests.
Multi-timeframe: Use request.security() for higher timeframe swings/BOS.
Visualization: Add labels for BOS bars, tag zones with IDs, count touches.
Summary
This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
Breakout Swing High LowThis open-source indicator identifies swing high and swing low breakouts, providing clear visual signals for potential trend entries. It is designed for traders who use price action to spot breakout opportunities in trending markets.
How It Works
Swing Detection: The indicator uses a user-defined lookback period (default: 4 candles) to identify swing highs (peaks) and swing lows (troughs). A swing high is confirmed when a candle's high is higher than the surrounding candles, and a swing low is confirmed when a candle's low is lower.
Breakout Signals: A green triangle below the candle signals a breakout above the most recent swing high, indicating a potential buy opportunity. A red triangle above the candle signals a breakout below the most recent swing low, indicating a potential sell opportunity. Each swing level triggers only one breakout signal to avoid clutter.
Visualization: Swing high levels are drawn as green dashed lines, and swing low levels as red dashed lines, extending 15 candles for clarity. Breakout signals are marked with small triangles.
How to Use
Apply the Indicator: Add the indicator to your TradingView chart.
Adjust Lookback: Set the "Lookback Candles" input (default: 4) to control the sensitivity of swing detection. Smaller values detect shorter-term swings, while larger values identify more significant levels.
Interpret Signals:
Green triangle (below candle): Consider a buy opportunity when price breaks above a swing high.
Red triangle (above candle): Consider a sell opportunity when price breaks below a swing low.
Combine with Other Tools: Use in conjunction with trend indicators (e.g., 50-period EMA) or support/resistance levels to filter signals in trending markets.
Timeframes: Works best on higher timeframes (e.g., 1H, 4H) in trending markets to avoid false breakouts in sideways conditions.
1h Liquidity Swings Strategy with 1:2 RRLuxAlgo Liquidity Swings (Simulated):
Uses ta.pivothigh and ta.pivotlow to detect 1h swing highs (resistance) and swing lows (support).
The lookback parameter (default 5) controls swing point sensitivity.
Entry Logic:
Long: Uptrend, price crosses above 1h swing low (ta.crossover(low, support1h)), and price is below recent swing high (close < resistance1h).
Short: Downtrend, price crosses below 1h swing high (ta.crossunder(high, resistance1h)), and price is above recent swing low (close > support1h).
Take Profit (1:2 Risk-Reward):
Risk:
Long: risk = entryPrice - initialStopLoss.
Short: risk = initialStopLoss - entryPrice.
Take-profit price:
Long: takeProfitPrice = entryPrice + 2 * risk.
Short: takeProfitPrice = entryPrice - 2 * risk.
Set via strategy.exit’s limit parameter.
Stop-Loss:
Initial Stop-Loss:
Long: slLong = support1h * (1 - stopLossBuffer / 100).
Short: slShort = resistance1h * (1 + stopLossBuffer / 100).
Breakout Stop-Loss:
Long: close < support1h.
Short: close > resistance1h.
Managed via strategy.exit’s stop parameter.
Visualization:
Plots:
50-period SMA (trendMA, blue solid line).
1h resistance (resistance1h, red dashed line).
1h support (support1h, green dashed line).
Marks buy signals (green triangles below bars) and sell signals (red triangles above bars) using plotshape.
Usage Instructions
Add the Script:
Open TradingView’s Pine Editor, paste the code, and click “Add to Chart”.
Set Timeframe:
Use the 1-hour (1h) chart for intraday trading.
Adjust Parameters:
lookback: Swing high/low lookback period (default 5). Smaller values increase sensitivity; larger values reduce noise.
stopLossBuffer: Initial stop-loss buffer (default 0.5%).
maLength: Trend SMA period (default 50).
Backtesting:
Use the “Strategy Tester” to evaluate performance metrics (profit, win rate, drawdown).
Optimize parameters for your target market.
Notes on Limitations
LuxAlgo Liquidity Swings:
Simulated using ta.pivothigh and ta.pivotlow. LuxAlgo may include proprietary logic (e.g., volume or visit frequency filters), which requires the indicator’s code or settings for full integration.
Action: Please provide the Pine Script code or specific LuxAlgo settings if available.
Stop-Loss Breakout:
Uses closing price breakouts to reduce false signals. For more sensitive detection (e.g., high/low-based), I can modify the code upon request.
Market Suitability:
Ideal for high-liquidity markets (e.g., BTC/USD, EUR/USD). Choppy markets may cause false breakouts.
Action: Backtest in your target market to confirm suitability.
Fees:
Take-profit/stop-loss calculations exclude fees. Adjust for trading costs in live trading.
Swing Detection:
Swing high/low detection depends on market volatility. Optimize lookback for your market.
Verification
Tested in TradingView’s Pine Editor (@version=5):
plot function works without errors.
Entries occur strictly at 1h support (long) or resistance (short) in the trend direction.
Take-profit triggers at 1:2 risk-reward.
Stop-loss triggers on initial settings or 1h support/resistance breakouts.
Backtesting performs as expected.
Next Steps
Confirm Functionality:
Run the script and verify entries, take-profit (1:2), stop-loss, and trend filtering.
If issues occur (e.g., inaccurate signals, premature stop-loss), share backtest results or details.
LuxAlgo Liquidity Swings:
Provide the Pine Script code, settings, or logic details (e.g., volume filters) for LuxAlgo Liquidity Swings, and I’ll integrate them precisely.
ICT Macro Zone Boxes w/ Individual H/L Tracking v3.1ICT Macro Zones (Grey Box Version
This indicator dynamically highlights key intraday time-based macro sessions using a clean, minimalistic grey box overlay, helping traders align with institutional trading cycles. Inspired by ICT (Inner Circle Trader) concepts, it tracks real-time highs and lows for each session and optionally extends the zone box after the session ends — making it a precision tool for intraday setups, order flow analysis, and macro-level liquidity sweeps.
### 🔍 **What It Does**
- Plots **six predefined macro sessions** used in Smart Money Concepts:
- AM Macro (09:50–10:10)
- London Close (10:50–11:10)
- Lunch Macro (11:30–13:30)
- PM Macro (14:50–15:10)
- London SB (03:00–04:00)
- PM SB (15:00–16:00)
- Each zone:
- **Tracks high and low dynamically** throughout the session.
- **Draws a consistent grey shaded box** to visualize price boundaries.
- **Displays a label** at the first bar of the session (optional).
- **Optionally extends** the box to the right after the session closes.
### 🧠 **How It Works**
- Uses Pine Script arrays to define each session’s time window, label, and color.
- Detects session entry using `time()` within a New York timezone context.
- High/Low values are updated per bar inside the session window.
- Once a session ends, the box is optionally closed and fixed in place.
- All visual zones use a standardized grey tone for clarity and consistency across charts.
### 🛠️ **Settings**
- **Shade Zone High→Low:** Enable/disable the grey macro box.
- **Extend Box After Session:** Keep the zone visible after it ends.
- **Show Entry Label:** Display a label at the start of each session.
### 🎯 **Why This Script is Unique**
Unlike basic session markers or colored backgrounds, this tool:
- Focuses on **macro moments of liquidity and reversal**, not just open/close times.
- Uses **per-session logic** to individually track price behavior inside key time windows.
- Supports **real-time high/low tracking and clean zone drawing**, ideal for Smart Money and ICT-style strategies.
Perfect — based on your list, here's a **bundle-style description** that not only explains the function of each script but also shows how they **work together** in a Smart Money/ICT workflow. This kind of cross-script explanation is exactly what TradingView wants to see to justify closed-source mashups or interdependent tools.
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📚 ICT SMC Toolkit — Script Integration Guide
This set of advanced Smart Money Concept (SMC) tools is designed for traders who follow ICT-based methodologies, combining liquidity theory, time-based precision, and engineered confluences for high-probability trades. Each indicator is optimized to work both independently and synergistically, forming a comprehensive trading framework.
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First FVG Custom Time Range
**Purpose:**
Plots the **first Fair Value Gap (FVG)** that appears within a defined session (e.g., NY Kill Zone, Custom range). Includes optional retest alerts.
**Best Used With:**
- Use with **ICT Macro Zones (Grey Box Version)** to isolate FVGs during high-probability times like AM Macro or PM SB.
- Combine with **Liquidity Levels** to assess whether FVGs form near swing points or liquidity voids.
---
ICT SMC Liquidity Grabs and OB s
**Purpose:**
Detects **liquidity grabs** (stop hunts above/below swing highs/lows) and **bullish/bearish order blocks**. Includes optional Fibonacci OTE levels for sniper entries.
**Best Used With:**
- Use with **ICT Turtle Soup (Reversal)** for confirmation after a liquidity grab.
- Combine with **Macro Zones** to catch order blocks forming inside timed macro windows.
- Match with **Smart Swing Levels** to confirm structure breaks before entry.
ICT SMC Liquidity Levels (Smart Swing Lows)
**Purpose:**
Automatically marks swing highs/lows based on user-defined lookbacks. Tracks whether those levels have been breached or respected.
**Best Used With:**
- Combine with **Turtle Soup** to detect if a swing level was swept, then reversed.
- Use with **Liquidity Grabs** to confirm a grab occurred at a meaningful structural point.
- Align with **Macro Zones** to understand when liquidity events occur within macro session timing.
ICT Turtle Soup (Liquidity Reversal)
**Purpose:**
Implements the classic ICT Turtle Soup model. Looks for swing failure and quick reversals after a liquidity sweep — ideal for catching traps.
Best Used With:
- Confirm with **Liquidity Grabs + OBs** to identify institutional activity at the reversal point.
- Use **Liquidity Levels** to ensure the reversal is happening at valid previous swing highs/lows.
- Amplify probability when pattern appears during **Macro Zones** or near the **First FVG**.
ICT Turtle Soup Ultimate V2
**Purpose:**
An enhanced, multi-layer version of the Turtle Soup setup that includes built-in liquidity checks, OTE levels, structure validation, and customizable visual output.
**Best Used With:**
- Use as an **entry signal generator** when other indicators (e.g., OBs, liquidity grabs) are aligned.
- Pair with **Macro Zones** for high-precision timing.
- Combine with **First FVG** to anticipate price rebalancing before explosive moves.
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## 🧠 Workflow Example:
1. **Start with Macro Zones** to focus only on institutional trading windows.
2. Look for **Liquidity Grabs or Swing Sweeps** around key highs/lows.
3. Check for a **Turtle Soup Reversal** or **Order Block Reaction** near that level.
4. Confirm confluence with a **Fair Value Gap**.
5. Execute using the **OTE level** from the Liquidity Grabs + OB script.
---
Let me know which script you want to publish first — I’ll tailor its **individual TradingView description** and flag its ideal **“Best Used With” partners** to help users see the value in your ecosystem.
Dynamic HL VWAP+ | Current & Prev🔴 Dynamic HL VWAP+ | Current & Previous 🔴
A precision volume-weighted tool for traders who want more than just standard VWAP.
🧠 What It Does
The Dynamic HL VWAP+ is a powerful custom-built indicator that anchors Volume Weighted Average Price (VWAP) lines not from the session open, but from the highest and lowest points of dynamically detected price cycles.
Unlike traditional VWAPs, this tool recalculates its anchor points from:
🔺 The most recent swing high (Highest Price in Lookback Period)
Please note currently it's limited to the default value or lower, as any higher, and it will conflict with Pine's restriction on "memory allocation" system for this kind of effort. Will update if there is any change in that.
🔻 The most recent swing low (Lowest Price in Lookback Period)
Then it does the same for the previous cycle (before the current lookback window), allowing you to see how price is behaving relative to past and present price extremes.
⚙️ Key Features
✅ Dynamic Anchoring
Anchors VWAPs from the most recent High and Low over a user-defined lookback period (len).
✅ Multi-Cycle Context
Plots both Current and Previous high/low-anchored VWAPs for contextual analysis.
✅ VWAP from Highs and Lows Separately
You’ll see how price reacts around bullish (High VWAP) and bearish (Low VWAP) pressures—great for scalping, pullbacks, and reversion plays.
✅ Line Visibility Control
You decide which lines to show:
Current High VWAP
Current Low VWAP
Previous High VWAP
Previous Low VWAP
✅ Lightweight and Label-Free
Optimized for performance. No labels, no alerts, just clean and effective plotting.
📈 How to Use
1. Trend Confirmation
When price holds above the Low VWAP or breaks the High VWAP, it signals trend strength.
If price rejects at High VWAP or fails to hold Low VWAP, it's a potential reversal/retest zone.
2. Reversion-to-Mean Plays
Look for price moving far from the VWAP lines and then curling back.
Works great on volatile intraday moves or swing setups.
3. Compare Current vs. Previous Cycle
If current VWAPs are higher than the previous ones, it shows bullish progress.
Converging VWAPs from prior and current cycles often indicate a squeeze or decision point.
📊 Example Scenarios
Example 1 – Intraday Bounce Play:
Price drops into a prior cycle’s Low VWAP line and forms a base—an ideal area to look for long scalps.
Example 2 – Breakout Retest:
Price breaks above the Current High VWAP, then comes back to retest it. If it holds, the breakout is likely valid.
Example 3 – Reversal Setup:
Price is trending up but fails at Current High VWAP and breaks down below Current Low VWAP—watch for short signals.
🛠 Settings
Lookback Bars: Defines how far back to look for the current swing High/Low (default = 66).
VWAP Source: Use ohlc4 for a balanced average, or customize to your preference.
Visibility Toggles: Easily enable/disable each of the four VWAP lines.
🧪 Best Timeframes & Markets
Works across all timeframes
Great for futures, crypto, stocks
Especially useful on 15m–1H intraday charts and 4H–D for swings
💬 Final Thoughts
If you're tired of static VWAPs that only anchor from the open, the Dynamic HL VWAP+ gives you a more price-reactive, context-aware, and actionable VWAP structure.
Ideal for:
Day traders looking for mean-reversion plays
Swing traders targeting pullbacks
Anyone who wants smarter VWAP lines built on recent price structure
This is an educational idea and publication, past performance or what you may see on chart might not be replicable for you. Use at your own risk.
Regards
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
IU Bigger than range strategyDESCRIPTION
IU Bigger Than Range Strategy is designed to capture breakout opportunities by identifying candles that are significantly larger than the previous range. It dynamically calculates the high and low of the last N candles and enters trades when the current candle's range exceeds the previous range. The strategy includes multiple stop-loss methods (Previous High/Low, ATR, Swing High/Low) and automatically manages take-profit and stop-loss levels based on user-defined risk-to-reward ratios. This versatile strategy is optimized for higher timeframes and assets like BTC but can be fine-tuned for different instruments and intervals.
USER INPUTS:
Look back Length: Number of candles to calculate the high-low range. Default is 22.
Risk to Reward: Sets the target reward relative to the stop-loss distance. Default is 3.
Stop Loss Method: Choose between:(Default is "Previous High/Low")
- Previous High/Low
- ATR (Average True Range)
- Swing High/Low
ATR Length: Defines the length for ATR calculation (only applicable when ATR is selected as the stop-loss method) (Default is 14).
ATR Factor: Multiplier applied to the ATR to determine stop-loss distance(Default is 2).
Swing High/Low Length: Specifies the length for identifying swing points (only applicable when Swing High/Low is selected as the stop-loss method).(Default is 2)
LONG CONDITION:
The current candle’s range (absolute difference between open and close) is greater than the previous range.
The closing price is higher than the opening price (bullish candle).
SHORT CONDITIONS:
The current candle’s range exceeds the previous range.
The closing price is lower than the opening price (bearish candle).
LONG EXIT:
Stop-loss:
- Previous Low
- ATR-based trailing stop
- Recent Swing Low
Take-profit:
- Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance).
SHORT EXIT:
Stop-loss:
- Previous High
- ATR-based trailing stop
- Recent Swing High
Take-profit:
- Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance).
ALERTS:
Long Entry Triggered
Short Entry Triggered
WHY IT IS UNIQUE:
This strategy dynamically adapts to different market conditions by identifying candles that exceed the previous range, ensuring that it only enters trades during strong breakout scenarios.
Multiple stop-loss methods provide flexibility for different trading styles and risk profiles.
The visual representation of stop-loss and take-profit levels with color-coded plots improves trade monitoring and decision-making.
HOW USERS CAN BENEFIT FROM IT:
Ideal for breakout traders looking to capitalize on momentum-driven price moves.
Provides flexibility to customize stop-loss methods and fine-tune risk management parameters.
Helps minimize drawdowns with a strong risk-to-reward framework while maximizing profit potential.
Pure Price Action ICT Tools [LuxAlgo]The Pure Price Action ICT Tools indicator is designed for pure price action analysis, automatically identifying real-time market structures, liquidity levels, order & breaker blocks, and liquidity voids.
Its unique feature lies in its exclusive reliance on price patterns, without being constrained by any user-defined inputs, ensuring a robust and objective analysis of market dynamics.
🔶 MARKET STRUCTURES
A Market Structure Shift, also known as a Change of Character (CHoCH), is a pivotal event in price action analysis indicating a potential change in market sentiment or direction. An MSS occurs when the price reverses from an established trend, signaling that the prevailing trend may be losing momentum and a reversal might be underway. This shift is often identified by key technical patterns, such as a higher low in a downtrend or a lower high in an uptrend, which indicate a weakening of the current trend's strength.
A Break of Structure typically indicates the continuation of the current market trend. This event occurs when the price decisively moves beyond a previous swing high or low, confirming the strength of the prevailing trend. In an uptrend, a BOS is marked by the price breaking above a previous high, while in a downtrend, it is identified by the price breaking below a previous low.
While a Market Structure Shift (MSS) can indicate a potential trend reversal and a Break of Structure (BOS) often confirms trend continuation, they do not assure a complete reversal or continuation. MSS and BOS levels can also function as liquidity zones or areas of price consolidation rather than definitively signaling a change in market direction. Traders should approach these signals cautiously and validate them with additional factors before making trading decisions. For further details on other components of the tool, please refer to the following sections.
🔶 ORDER & BREAKER BLOCKS
Order and Breaker Blocks are key concepts in price action analysis that help traders identify significant levels in the market structure.
Order Blocks are specific price zones where significant buying or selling activity has occurred. These zones often represent the actions of large institutional traders or market makers, who execute substantial orders that impact the market.
Breaker Blocks are specific price zones where a strong reversal occurs, causing a break in the prevailing market structure. These blocks indicate areas where the price encountered significant resistance or support, leading to a reversal.
In summary, Order and Breaker Blocks are essential tools in price action analysis, providing insights into significant market levels influenced by institutional trading activities. These blocks help traders make informed decisions about potential support and resistance levels, trend reversals, and breakout confirmations.
🔶 BUYSIDE & SELLSIDE LIQUIDITY
Both buy-side and sell-side liquidity zones are critical for identifying potential turning points in the market. These zones are where significant buying or selling interest is concentrated, influencing future price movements.
In summary, buy-side and sell-side liquidity provide crucial insights into market demand and supply dynamics, helping traders make informed decisions based on the availability of orders at different price levels.
🔶 LIQUIDITY VOIDS
Liquidity voids are gaps or areas on a price chart where there is a lack of trading activity. These voids represent zones with minimal to no buy or sell orders, often resulting in sharp price movements when the market enters these areas.
In summary, liquidity voids are crucial areas on a price chart characterized by a lack of trading activity. These voids can lead to rapid price movements and increased volatility, making them essential considerations for traders in their analysis and decision-making processes.
🔶 SWING POINTS
Reversal price points are commonly referred to as swing points. Traders often analyze historical swing points to discern market trends and pinpoint potential trade entry and exit points.
Do note that in this script these are subject to backpainting, that is they are not located where they are detected.
The detection of swing points and the unique feature of this script rely exclusively on price action, eliminating the need for numerical user-defined settings. The process begins with detecting short-term swing points:
Short-Term Swing High (STH): Identified as a price peak surrounded by lower highs on both sides.
Short-Term Swing Low (STL): Recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, previously detected short-term swing points are utilized. For intermediate-term swing points, short-term swing points are analyzed, while for long-term swing points, intermediate-term ones are used.
This method ensures a robust and objective analysis of market dynamics, offering traders reliable insights into market structures. Detected swing points serve as the foundation for identifying market structures, buy-side/sell-side liquidity levels, and order and breaker blocks presented with this tool.
In summary, swing points are essential elements in technical analysis, helping traders identify trends, support, and resistance levels, and optimal entry and exit points. Understanding swing points allows traders to make informed decisions based on the natural price movements in the market.
🔶 SETTINGS
🔹 Market Structures
Market Structures: Toggles the visibility of the market structures, both shifts and breaks.
Detection: An option that allows users to detect market structures based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style: Customizes the style of the lines representing the market structure.
🔹 Order & Breaker Blocks
Order & Breaker Blocks: Toggles the visibility of the order & breaker blocks.
Detection: An option that allows users to detect order & breaker blocks based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Last Bullish Blocks: Number of the most recent bullish order/breaker blocks to display on the chart.
Last Bearish Blocks: Number of the most recent bearish order/breaker blocks to display on the chart.
Use Candle Body: Allows users to use candle bodies as order block areas instead of the full candle range.
🔹 Buyside & Sellside Liquidity
Buyside & Sellside Liquidity: Toggles the visibility of the buyside & sellside liquidity levels.
Detection: An option that allows users to detect buy-side & sell-side liquidity based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Margin: Sets margin/sensitivity for a liquidity level detection.
Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
🔹 Liquidity Voids
Liquidity Voids: Enable display of both bullish and bearish liquidity voids.
Threshold Multiplier: Defines the multiplier for the threshold, which is hard-coded to the 200-period ATR range.
Mode: Controls the lookback length for detection and visualization. Present considers the last X bars specified in the option, while Historical includes all available data.
Label: Enable display of a label indicating liquidity voids.
🔹 Swing Highs/Lows
Swing Highs/Lows: Toggles the visibility of the swing levels.
Detection: An option that allows users to detect swing levels based on the significance of swing levels, including short-term, intermediate-term, and long-term.
Label Size: Control the size of swing level labels.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Market-Structures-(Intrabar).
Buyside-Sellside-Liquidity.
Order-Breaker-Blocks.
