Price Action - Reversal BarInspired by Al Brooks' "Trading Price Action Reversals," this indicator detects potential bull and bear reversal bars. Bull reversals require a green bar with close above mid-range, small upper tail (≤30%), large lower tail (≥30%), and low below previous low without significant overlap. Bear reversals are the opposite. Triangles mark these setups for early reversal signals in trends or climaxes. Remember, markets test extremes—use with trend lines for confirmation, as single bars are often traps without a second leg.
Cerca negli script per "reversal"
Gap Reversal Signal with Indicators🔍 Gap Reversal Signal with Indicators — 結合 KD、MACD、SAR 與背離分析的多功能指標
🔍 Gap Reversal Signal with Indicators — A Multi-Tool Signal Indicator Combining KD, MACD, SAR, and Divergence Analysis
中文說明：
本指標結合多種常用技術分析工具，包括 KD 隨機指標、MACD 動能交叉、SAR 趨勢方向、以及 MACD 背離偵測，用以辨識潛在的價格反轉區域。適用於日內交易與波段操作，支援各類市場，如加密貨幣、股票與外匯等。
English Description:
This indicator combines several popular technical tools: Stochastic KD, MACD momentum crossovers, SAR trend direction, and MACD divergence detection. It helps traders identify potential reversal areas and is ideal for both intraday and swing trading. Works well on crypto, stocks, and forex markets.
🧠 功能特點 | Key Features
✅ KD指標（慢速隨機指標）檢測超買超賣並提供%K與%D交叉訊號
✅ Stochastic KD (slow) to detect overbought/oversold zones and crossover signals
✅ MACD金叉/死叉與零軸突破捕捉趨勢轉變與動能反轉
✅ MACD Crossovers + Zero-Line Breaks to capture trend changes and momentum reversals
✅ SAR指標即時顯示多空方向
✅ Parabolic SAR for real-time trend direction indication
✅ MACD背離偵測協助辨識潛在反轉區域
✅ MACD Divergence Detection for identifying hidden trend reversals
✅ 圖形提示與標籤提示可視化呈現各類訊號
✅ Visual Alerts and Labels for easy and quick signal recognition
📈 支援市場 | Supported Markets
📊 台股 / 美股 / 外匯 / 加密貨幣
📊 Taiwan Stocks / US Stocks / Forex / Cryptocurrencies (e.g. BTC, ETH)
🔧 推薦用法 | Recommended Use
搭配缺口策略與支撐壓力位使用
Use with gap-trading strategies and support/resistance zones
用於盤整末期或趨勢反轉的提示
Helpful for end-of-consolidation signals or trend reversals
支援短線與波段交易風格
Suitable for scalping and swing trading styles
💡 把這個指標加入你的圖表，立即體驗多重技術分析所帶來的交易優勢！
💡 Add this indicator to your chart now and experience the power of multi-tool technical analysis!
Triple Doji SequenceThe Triple Doji Sequence indicator helps traders identify consecutive Doji candlestick patterns, allowing them to choose between spotting single, double, or triple Dojis. A Doji is detected when the candle's body is small relative to its wicks, with either the upper or lower wick being significantly larger. Users can customize their own Doji criteria by adjusting the body size and wick dominance settings. The indicator ensures that consecutive Dojis align in the same direction before confirming a valid pattern, making it easier to identify market indecision or potential trend reversals.
When the chosen Doji sequence is detected, the indicator plots a star (*) above bearish Dojis (upper wick dominant) and below bullish Dojis (lower wick dominant). It also sends alerts when a valid sequence is confirmed at the close of the bar. This tool helps traders refine their strategy by spotting repeated Doji formations, which may indicate key turning points or continuation patterns in price action.
How to Use the Triple Doji Sequence Indicator?
Apply the Indicator:
Add the Triple Doji Sequence indicator to your TradingView chart.
It will automatically scan for Doji patterns based on your settings.
Customize Your Doji Criteria:
Adjust the body size and wick dominance settings to define what qualifies as a Doji.
Choose whether to detect single, double, or triple Doji sequences.
Interpret the Signals:
A star (*) above a candle signals a bearish Doji (upper wick dominant).
A star (*) below a candle signals a bullish Doji (lower wick dominant).
Set Up Alerts:
Enable alerts to receive notifications when a Doji sequence is confirmed at bar close.
Choose alert frequency based on your trading strategy (e.g., once per bar, once per bar close).
Use in Trading Strategy:
Doji sequences can indicate trend reversals or market indecision.
Combine this indicator with support/resistance levels, volume, or other indicators to confirm signals.
PS: Good luck in finding a Triple Doji :)
Trending Market Toolkit [LuxAlgo]The Trending Market Toolkit focuses exclusively on trending market structures and high-confluence, high-risk-to-reward entry models. It is designed to complement discretionary trading by offering different entry strategies based on market structure.
🔶 USAGE
In the chart above we can see how the tool detects several reversals, draws the broken trendlines, the reversal areas from which the tool starts looking for a trigger, and when it finally happens, a potential trade with risk and reward areas and the risk/reward ratio.
🔹 Detection Mode
Traders can choose between three different modes: trend only, reversal only, or both.
If both are active, reversals have priority over trends, so the tool will not detect a trend if a reversal is active.
In the chart above we can see all three modes.
🔹 Detection on Higher Timeframes
Traders can choose to identify structures on the chart timeframe or on a higher timeframe.
In the chart above, we have the SP500 futures on the 5m timeframe with different settings: chart timeframe, 30m, and 1H.
🔹 Risk And Targets
Depending on whether the high-risk/reward parameter is enabled, traders can choose between three different targets and two different stops.
The chart above shows how different choices affect the risk/reward ratio for the same potential trade on the Gold Futures 2m chart.
🔶 SETTINGS
Show: Traders can choose between Trends, Reversals or Both.
🔹 Structures
Swing Length: Number of candles to confirm a swing high or swing low. A higher number detects larger swings.
Custom Timeframe: Traders can make use of the current chart timeframe, or choose a custom timeframe.
Reversal Area Threshold: A higher number increases the reversal area.
🔹 Trades
Trade Trigger Length: Number of candles to confirm an internal high or internal low. A lower number detects smaller swings. It must be the same size or smaller than the swing length.
Target: Traders can choose between the default target (0) or two extended targets (0.27 or 0.618).
Risk to Reward Threshold: Set the minimum risk-to-reward ratio to detect trades. Use the 0 value to detect all trades.
High Risk to Reward: Enable/Disable the high risk to reward mode.
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
Eroina Trend Reversal Indicator with ConfirmationsEroina Trend Reversal Indicator with Confirmations
Overview (English):
The Trend Reversal Indicator with Confirmations is designed to identify potential trend reversals by analyzing dynamic resistance and support levels. This script uses a robust confirmation system to reduce false signals, making it ideal for traders who seek disciplined, data-driven decisions.
Key Features:
• Dynamic Levels: Calculates resistance and support levels based on user-defined lengths.
• Breakout Confirmation: Confirms trend reversals by validating price action over a specified number of candles.
• Visual Cues: Displays “LONG” and “SHORT” signals directly on the chart, alongside resistance/support levels.
• Customizable Parameters: Adaptable to different timeframes and market conditions.
How It Works:
1. Resistance & Support Levels:
• Resistance: Calculated as the highest high over the last N bars.
• Support: Calculated as the lowest low over the last N bars.
2. Breakout Detection:
• A resistance breakout occurs when the price closes above the resistance level.
• A support breakout occurs when the price closes below the support level.
3. Confirmation Logic:
• Signals are validated only if the price remains above/below the levels for a user-defined number of candles.
4. Entry Signals:
• “LONG” signals indicate a confirmed breakout above resistance.
• “SHORT” signals indicate a confirmed breakdown below support.
Settings:
• Resistance Length: Defines the number of candles used to calculate resistance levels.
• Support Length: Defines the number of candles used to calculate support levels.
• Confirmation Candles: Specifies how many candles are required to confirm breakouts.
Usage:
This indicator is ideal for identifying trend reversals and optimizing entry points. Combine it with volume analysis or other technical indicators to enhance accuracy. For example:
• Use in conjunction with RSI to avoid overbought/oversold conditions.
• Combine with moving averages to confirm the trend direction.
Overview (Additional Language):
(Your additional language description can go here after English, e.g., Russian, Spanish, etc.)
Enhanced Reversal DetectionScript Description:
The "Enhanced Reversal Detection" indicator is a powerful tool designed to identify potential market reversals across various financial instruments. It incorporates a sophisticated algorithm that analyzes price action along with key technical indicators such as the Relative Strength Index (RSI), Bollinger Bands, and Moving Average (MA).
How to Use:
Adjustable Parameters: The indicator offers a range of adjustable parameters to cater to different trading preferences and market conditions.
RSI Length: Adjusts the length of the RSI calculation to fine-tune sensitivity.
Overbought Level: Sets the threshold for identifying overbought conditions on the RSI scale.
Oversold Level: Sets the threshold for identifying oversold conditions on the RSI scale.
Bollinger Bands Length: Determines the length of the Bollinger Bands calculation.
Bollinger Bands Multiplier: Adjusts the standard deviation multiplier for the Bollinger Bands, influencing band width.
Moving Average Length: Defines the length of the Moving Average calculation to capture trend direction.
Min Bars Between Signals: Sets the minimum number of bars required between consecutive reversal signals.
ADX Length: Adjusts the length of the Average Directional Index (ADX) calculation.
ADX Threshold: Defines the threshold value for ADX, serving as a filter for reversal signals.
Signal Generation: The indicator generates signals for both bullish and bearish reversals based on predefined criteria. A bullish reversal signal is triggered when the closing price exceeds the lower Bollinger Band and RSI falls below the oversold threshold. Conversely, a bearish reversal signal occurs when the closing price falls below the upper Bollinger Band and RSI surpasses the overbought threshold.
Alerts: Traders can opt to receive alerts for bullish and bearish reversal signals, enabling them to stay informed of potential trading opportunities even when away from the platform.
Publication Readiness:
To ensure readiness for publication in the TradingView public library, the script has been meticulously crafted and documented:
The code is extensively commented to provide clear explanations of parameters, calculations, and signal generation logic.
Best coding practices have been followed to enhance readability and maintainability.
Rigorous testing has been conducted to validate the accuracy and reliability of signal generation across various market conditions.
The script adheres to TradingView's guidelines and policies for script publication, ensuring compliance with platform standards and user expectations.
With its comprehensive features and user-friendly design, the "Enhanced Reversal Detection" indicator is poised to become a valuable asset for traders seeking to identify high-probability reversal opportunities in the financial markets.
Volume Exhaustion [AlgoAlpha]Introducing the Volume Exhaustion by AlgoAlpha, is an innovative tool that aims to identify potential exhaustion or peaks in trading volume , which can be a key indicator for reversals or continuations in market trends 🔶.
Key Features:
Signal Plotting : A special feature is the plotting of 'Release' signals, marked by orange diamonds, indicating points where the exhaustion index crosses under its previous value and is above a certain boundary. This could signify critical market points 🚨.
Calculation Length Customization : Users can adjust the calculation and Signal lengths to suit their trading style, allowing for flexibility in analysis over different time periods. ☝️
len = input(50, "Calculation Length")
len2 = input(8, "Signal Length")
Visual Appeal : The script offers customizable colors (col for the indicator and col1 for the background) enhancing the visual clarity and user experience 💡.
col = input.color(color.white, "Indicator Color")
col1 = input.color(color.gray, "Background Color")
Advanced Volume Processing : At its core, the script utilizes a combination of Hull Moving Average (HMA) and Exponential Moving Average (EMA) applied to the volume data. This sophisticated approach helps in smoothing out the volume data and reducing lag.
sv = ta.hma(volume, len)
ssv = ta.hma(sv, len)
Volume Exhaustion Detection : The script calculates the difference between the volume and its smoothed version, normalizing this value to create an exhaustion index (fff). Positive values of this index suggest potential volume exhaustion.
f = sv-ssv
ff = (f) / (ta.ema(ta.highest(f, len) - ta.lowest(f, len), len)) * 100
fff = ff > 0 ? ff : 0
Boundary and Zero Line : The script includes a boundary line (boundary) and a zero line (zero), with the area between them filled for enhanced visual interpretation. This helps in assessing the relative position of the exhaustion index.
Customizable Background : The script colors the background of the chart for better readability and to distinguish the indicator’s area clearly.
Overall, Volume Exhaustion is designed for traders who focus on volume analysis. It provides a unique perspective on volume trends and potential exhaustion points, which can be crucial for making informed trading decisions. This script is a valuable addition for traders looking to enhance their trading experience with advanced volume analysis tools.
D-BoT Alpha ReversalsHello traders, today I'm going to share with you a strategy that I use very frequently. I wanted to share this strategy that I use in my manual trades by translating it into code. I'm sharing it with you with completely open source code.
RSI of ROC: The indicator initially calculates RSI (Relative Strength Index) on ROC (Rate of Change). This is a method that tracks the rate of price change (ROC) over a certain period and applies it to the RSI calculation.
Adaptive RSI: The code then calculates the RSI for all periods between the minimum and maximum RSI lengths. It takes the average of these calculations and names it as avg_rsi66. In addition, it checks whether each RSI value exceeds the determined overbought and oversold limits.
Signal Triggers: If both RSI of ROC and avg_rsi66 are above or below the specified overbought or oversold levels and the difference between these two values is less than the specified threshold value (Extremities Sensitivity), a signal is triggered. In addition, the color of the bar is also checked: An overbought (sell) signal is triggered for a red bar and an oversold (buy) signal is triggered for a green bar.
Signal Visualization: Signals are shown on the chart at appropriate places with "Sell" or "Buy" shapes. Also, each of these conditions is defined as an alert condition.
The general purpose of this indicator is to determine the turning points of the market. Overbought and oversold signals are based on the idea that the price may turn from these areas. That is, a "Sell" signal indicates a turning point where the price may start to fall, while a "Buy" signal indicates a turning point where the price may start to rise.
These types of indicators usually have some weak points:
False Signals: Like any kind of technical analysis indicator, this indicator can also give false signals. That is, you may get a "Buy" or "Sell" signal but the price may not move in the expected direction.
Market Conditions: This indicator may perform better under certain market conditions. For example, a trend-following indicator usually works well in trending markets, but can be misleading in range-bound markets. This indicator too can perform better or worse in a particular market situation.
Parameter Selection: The choice of the parameters of the indicator (ROC and RSI lengths, overbought/oversold levels, etc.) can significantly affect the quality of the indicator signals. Parameters should be optimized for various assets and time frames.
In conclusion, it would be better to use this indicator not as a standalone trading system, but in conjunction with other technical analysis tools or fundamental analysis. Also, it is always beneficial to test a new trading strategy on past data or on a demo account before trading with real money."
Stay tuned for more of my original strategies :)
Happy trading...
T3 PPO [Loxx]T3 PPO is a percentage price oscillator indicator using T3 moving average. This indicator is used to spot reversals. Dark red is upward price exhaustion, dark green is downward price exhaustion.
What is Percentage Price Oscillator (PPO)?
The percentage price oscillator (PPO) is a technical momentum indicator that shows the relationship between two moving averages in percentage terms. The moving averages are a 26-period and 12-period exponential moving average (EMA).
The PPO is used to compare asset performance and volatility, spot divergence that could lead to price reversals, generate trade signals, and help confirm trend direction.
What is the T3 moving average?
Better Moving Averages Tim Tillson
November 1, 1998
Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has privately traded options and equities for 15 years.
Introduction
"Digital filtering includes the process of smoothing, predicting, differentiating, integrating, separation of signals, and removal of noise from a signal. Thus many people who do such things are actually using digital filters without realizing that they are; being unacquainted with the theory, they neither understand what they have done nor the possibilities of what they might have done."
This quote from R. W. Hamming applies to the vast majority of indicators in technical analysis . Moving averages, be they simple, weighted, or exponential, are lowpass filters; low frequency components in the signal pass through with little attenuation, while high frequencies are severely reduced.
"Oscillator" type indicators (such as MACD , Momentum, Relative Strength Index ) are another type of digital filter called a differentiator.
Tushar Chande has observed that many popular oscillators are highly correlated, which is sensible because they are trying to measure the rate of change of the underlying time series, i.e., are trying to be the first and second derivatives we all learned about in Calculus.
We use moving averages (lowpass filters) in technical analysis to remove the random noise from a time series, to discern the underlying trend or to determine prices at which we will take action. A perfect moving average would have two attributes:
It would be smooth, not sensitive to random noise in the underlying time series. Another way of saying this is that its derivative would not spuriously alternate between positive and negative values.
It would not lag behind the time series it is computed from. Lag, of course, produces late buy or sell signals that kill profits.
The only way one can compute a perfect moving average is to have knowledge of the future, and if we had that, we would buy one lottery ticket a week rather than trade!
Having said this, we can still improve on the conventional simple, weighted, or exponential moving averages. Here's how:
Two Interesting Moving Averages
We will examine two benchmark moving averages based on Linear Regression analysis.
In both cases, a Linear Regression line of length n is fitted to price data.
I call the first moving average ILRS, which stands for Integral of Linear Regression Slope. One simply integrates the slope of a linear regression line as it is successively fitted in a moving window of length n across the data, with the constant of integration being a simple moving average of the first n points. Put another way, the derivative of ILRS is the linear regression slope. Note that ILRS is not the same as a SMA ( simple moving average ) of length n, which is actually the midpoint of the linear regression line as it moves across the data.
We can measure the lag of moving averages with respect to a linear trend by computing how they behave when the input is a line with unit slope. Both SMA (n) and ILRS(n) have lag of n/2, but ILRS is much smoother than SMA .
Our second benchmark moving average is well known, called EPMA or End Point Moving Average. It is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length. The price we pay for this is that it is much noisier (less smooth) than ILRS, and it also has the annoying property that it overshoots the data when linear trends are present.
However, EPMA has a lag of 0 with respect to linear input! This makes sense because a linear regression line will fit linear input perfectly, and the endpoint of the LR line will be on the input line.
These two moving averages frame the tradeoffs that we are facing. On one extreme we have ILRS, which is very smooth and has considerable phase lag. EPMA has 0 phase lag, but is too noisy and overshoots. We would like to construct a better moving average which is as smooth as ILRS, but runs closer to where EPMA lies, without the overshoot.
A easy way to attempt this is to split the difference, i.e. use (ILRS(n)+EPMA(n))/2. This will give us a moving average (call it IE /2) which runs in between the two, has phase lag of n/4 but still inherits considerable noise from EPMA. IE /2 is inspirational, however. Can we build something that is comparable, but smoother? Figure 1 shows ILRS, EPMA, and IE /2.
Filter Techniques
Any thoughtful student of filter theory (or resolute experimenter) will have noticed that you can improve the smoothness of a filter by running it through itself multiple times, at the cost of increasing phase lag.
There is a complementary technique (called twicing by J.W. Tukey) which can be used to improve phase lag. If L stands for the operation of running data through a low pass filter, then twicing can be described by:
L' = L(time series) + L(time series - L(time series))
That is, we add a moving average of the difference between the input and the moving average to the moving average. This is algebraically equivalent to:
2L-L(L)
This is the Double Exponential Moving Average or DEMA , popularized by Patrick Mulloy in TASAC (January/February 1994).
In our taxonomy, DEMA has some phase lag (although it exponentially approaches 0) and is somewhat noisy, comparable to IE /2 indicator.
We will use these two techniques to construct our better moving average, after we explore the first one a little more closely.
Fixing Overshoot
An n-day EMA has smoothing constant alpha=2/(n+1) and a lag of (n-1)/2.
Thus EMA (3) has lag 1, and EMA (11) has lag 5. Figure 2 shows that, if I am willing to incur 5 days of lag, I get a smoother moving average if I run EMA (3) through itself 5 times than if I just take EMA (11) once.
This suggests that if EPMA and DEMA have 0 or low lag, why not run fast versions (eg DEMA (3)) through themselves many times to achieve a smooth result? The problem is that multiple runs though these filters increase their tendency to overshoot the data, giving an unusable result. This is because the amplitude response of DEMA and EPMA is greater than 1 at certain frequencies, giving a gain of much greater than 1 at these frequencies when run though themselves multiple times. Figure 3 shows DEMA (7) and EPMA(7) run through themselves 3 times. DEMA^3 has serious overshoot, and EPMA^3 is terrible.
The solution to the overshoot problem is to recall what we are doing with twicing:
DEMA (n) = EMA (n) + EMA (time series - EMA (n))
The second term is adding, in effect, a smooth version of the derivative to the EMA to achieve DEMA . The derivative term determines how hot the moving average's response to linear trends will be. We need to simply turn down the volume to achieve our basic building block:
EMA (n) + EMA (time series - EMA (n))*.7;
This is algebraically the same as:
EMA (n)*1.7-EMA( EMA (n))*.7;
I have chosen .7 as my volume factor, but the general formula (which I call "Generalized Dema") is:
GD (n,v) = EMA (n)*(1+v)-EMA( EMA (n))*v,
Where v ranges between 0 and 1. When v=0, GD is just an EMA , and when v=1, GD is DEMA . In between, GD is a cooler DEMA . By using a value for v less than 1 (I like .7), we cure the multiple DEMA overshoot problem, at the cost of accepting some additional phase delay. Now we can run GD through itself multiple times to define a new, smoother moving average T3 that does not overshoot the data:
T3(n) = GD ( GD ( GD (n)))
In filter theory parlance, T3 is a six-pole non-linear Kalman filter. Kalman filters are ones which use the error (in this case (time series - EMA (n)) to correct themselves. In Technical Analysis , these are called Adaptive Moving Averages; they track the time series more aggressively when it is making large moves.
Price Pivots for NSE Index & F&O StocksPrice Pivots for NSE Index & F&O Stocks
What is this Indicator?
• This indicator calculates the price range a Stock or Index can move in a Day, Week or Month.
Advantages of this Indicator
• This is a Leading indicator, not Dynamic or Repaint.
• Helps to identify the tight range of price movement.
• Can easily identify the Options strike price.
• The levels are more reliable and authentic than Gann Square of 9 Levels.
• Develops a discipline in placing Targets.
Disadvantages of this Indicator
• The indicator is specifically made for National Stock Exchange of India (NSE) listed index and stocks.
• The indicator is calculated only for index NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY and Stocks listed in Futures and Options.
• The indicator shows nothing for other indexes and stocks other than above mentioned.
• The data need to be entered manually.
• The data need to be updated manually when the F&O listed stocks are updated.
Who to use?
Highly beneficial for Day Traders, it can be used for Swing and Positions as well.
What timeframe to use?
• Any timeframe.
• The highlighted levels in Red and Green will not show correct levels in 1 minute timeframe.
• 5min is recommended for Day Traders.
When to use?
• Wait for proper swing to form.
• Recommended to avoid 1st 1 hour or market open, that is 9.15am to 10.15 or 10.30am.
• Within this time a proper swing will be formed.
How to use?
Entry
• Enter when the Price reach closer to the Blue line.
• Enter Long when the Price takes a pullback or breakout at the Red lines.
Exit
• Exit position when the Price reach closer to the Red lines in Long positions.
What are the Lines?
Gray Lines:
• Every lines with price labels are the Strike Prices in the Option Chain from NSE website.
• Price moves from 1 Strike Price level to another.
• The dashed lines are average levels of 2 Strike Prices.
Red & Green Lines:
• The Red and Green Lines will appear only after the first 1 hour.
• The levels are calculated based on the 1st 1 hour.
• Red Lines are important Resistance levels, these are strong Bearish reversal points. It is also a breakout level, this need to be figured out from the past levels, trend, percentage change and consolidation.
• Green Lines are important Support levels, these are strong Bullish reversal points. It is also a breakdown level, this need to be figured out from the past levels, trend, percentage change and consolidation.
What are the Labels?
• First Number: Price of that level.
• Numbers in (): Percentage change and Change of price from LTP(Last Traded Price) to that Level.
How to use?
Entry:
• Enter when price is closer to the Red or Green lines.
• Enter after considering previous Swing and Trend.
• Note the 50% of previous Swing.
• Enter Short when price reverse from each level.
• If 50% of swing and the pivot level is closer it can be a good entry.
Exit:
• Use the logic of Entry, each level can be a target.
• Exit when price is closer to the Red or Green lines.
Indicator Menu
Source
• Custom: Enter the price manually after choosing the Source as Custom to show the Pivots at that price.
• LTP: Pivot is calculated based on Last Traded Price.
• Day Open: Pivot is calculated based on current day opening price.
• PD Close: Pivot is calculated based on previous day closing price.
• PD HL2: Pivot is calculated based on previous day average of High and Low.
• PD HLC3: Pivot is calculated based on previous day average of High, Low and Close.
"Time (IST) (Vertical)"
• This is a marker of every 1 hour.
• Usually major price movement happen between previous day last 1 hour (2:15 pm) to today first 1 hour (10:15 pm).
• Two swings can happen between first 2 hour of current day.
• At the end of the day last 1 hour from 2.15 pm another important movement will happen.
• Usually rest of the time won't show any interesting movement.
To the Users
• Certain symbols may show the levels as a single line. For such symbols choose a different Source or Timeframe from the indicator menu.
• Please inform if any of the Symbol's price levels don't react to the pivots, include the Symbol a well.
• Also inform if you notice any wrong values, errors or abnormal behavior in the indicator.
• Feel free to suggest or adding new features and options.
General Tips
• It is good if Stock trend is same as that of NIFTY trend.
• Lots of indicators creates lots of confusion.
• Keep the chart simple and clean.
• Buy Low and Sell High.
• Master averages or 50%.
• Previous Swing High and Swing Low are crucial.
HTF Candlestick Patterns [TradingView] vX by DGTCandlesticks are graphical representations of price movements for a given period of time. They are commonly formed by the opening, high, low, and closing prices of a financial instrument. They have their origins in the centuries-old Japanese rice trade and have made their way into modern day price charting.
It’s important to note that candlestick patterns aren’t necessarily a buy or sell signal by themselves. They are instead a way to look at market structure and a potential indication of an upcoming opportunity. It is always useful to look at candlestick patterns in context like any other market analysis tool and candlestick patterns are most useful when used in combination with other techniques. There are countless candlestick patterns that traders can use to identify areas of interest on a chart, where some candlestick patterns may provide insights into the balance between buyers and sellers, others may indicate a reversal, continuation, or indecision.
Reversal patterns are quite useful when used in context. Reversal patterns should form at the bottom of a downtrend or at the top of an uptrend. Otherwise, they are not a reversal patterns, but continuation patterns. Most reversal patterns require confirmation such as price move in the direction of reversal accompanied by appropriate trading volume. The reversal patterns can further be confirmed through other means of traditional technical analysis—like trend lines, momentum, oscillators, or volume indicators—to reaffirm buying or selling pressure. The patterns themselves do not guarantee that the trend will reverse. Investors should always confirm reversal by the subsequent price action before initiating a trade.
This study implements some of the most commonly used candlestick patterns in a context with directional movement indicator. On request users can adjust the strong trend threshold from dialog box, eighter can disabled correlation with directional movement indicator. To add additional sight to analysis the simple moving averages of 20, 50, 100 and 200 periods are added (configurable)
You may add additional indicators of your choice. Colored DMI, BB Cloud or Price Distance to its MAs may help
Enjoy it!
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
BTC BRD – Bullet-Proof Reversal StrategyBTC BRD – Bullet-Proof Reversal Strategy is a price-action based reversal system that turns your existing “Bullet-Proof Reversal Detector” into a fully backtestable TradingView strategy with built-in risk management. It is designed to catch clean swing reversals using pure market structure, then automatically place stop-loss and take-profit orders based on your preferred risk-reward settings.
## Core concept
The strategy identifies true swing highs and lows using pivots and then waits for a clear market structure shift before entering any trade. It looks for a higher low followed by a break of structure for longs, and a lower high followed by a break of structure for shorts, helping filter out many random spikes and fakeouts. This makes it suitable for traders who prefer clean, rule-based entries grounded in market structure rather than noisy, indicator-heavy setups.
## Entries and exits
- Long trades are triggered after a bullish higher-low plus a confirmed break above the last swing high.
- Short trades are triggered after a bearish lower-high plus a confirmed break below the last swing low.
- Every position is protected with an automatic stop-loss and a calculated take-profit, so each trade has a predefined risk and reward from the moment it is opened.
## Risk management
The strategy lets you control your risk with a configurable risk-reward ratio (RR) and flexible stop-loss options. You can choose between an ATR-based stop (ATR × multiplier) or a fixed percentage stop relative to the entry price. Once the stop distance is known, the take-profit level is automatically derived from your RR value, making trade sizing and evaluation more consistent across different pairs and timeframes.
## Use cases and recommendations
This script is ideal for swing and intraday traders who want to systematically test market-structure reversals on assets like Bitcoin or other volatile instruments. For best results, experiment with different timeframes and ATR/percentage settings, and always validate performance using the Strategy Tester before deploying it on live markets. Remember that no strategy is guaranteed to be profitable, so use proper risk management and adapt settings to your own style and risk tolerance.
Strat Reversal MTF TableStrat Reversal MTF Table — Your Complete Multi-Timeframe Strat Command Center
Take your Strat trading to the next level with an indicator that shows every reversal, on every timeframe, in one powerful visual dashboard.
Designed for traders who demand speed, clarity, and full Strat alignment, the Strat Reversal MTF Table instantly identifies all major bullish and bearish reversal patterns:
Bullish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Bearish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Each signal is displayed with:
Clear pattern name (e.g., “2-1-2 Bull”)
Automatic trigger price
Timeframe label
Color-coded background (Bullish / Bearish / Neutral)
Whether you trade options, equities, futures, or crypto, this indicator makes it effortless to see what’s flipping — and where the strongest setups are emerging.
🔥 Key Features
📊 Multi-Timeframe Scanning (1 min → Daily)
Monitor 7 customizable timeframes at once.
From scalping to swing trading, you always know which timeframe is turning.
⚡ Real-Time OR Close-Confirmed Logic
Choose your style:
Realtime (Wick Mode) → Fast entries
Close-Confirmed → Stronger validation
Ideal for traders who want precision on any timeframe.
🎨 Clean & Customizable Dashboard
Move the table anywhere on the chart
Adjust text size
Choose your own colors
Lightweight and non-intrusive
A perfect blend of simplicity and power.
📩 Instant Alerts, Built In
Get notified instantly when:
Any timeframe reverses
A specific timeframe flips
Multiple reversals fire across the stack
The indicator works great with TradingView’s push notifications, email, and webhooks.
🎯 What This Helps You Do
✔ Catch Strat reversals as they happen
✔ Quickly spot full-timeframe alignment
✔ Improve your entries for options plays
✔ Avoid chop by reading higher-timeframe intent
✔ Trade more confidently with automated trigger levels
This indicator is built for Strat traders who want to trade smarter, faster, and cleaner.
✨ Perfect For
Strat Traders
Options Traders
Futures Scalpers
Intraday & Swing Traders
Quant/Algo-inspired traders
Anyone following Rob Smith’s methodology
🔥 SMC Reversal Engine v3.5 – Clean FVG + DashboardSMC Reversal Engine v3.5 – Clean FVG + Dashboard
The SMC Reversal Engine is a precision-built Smart Money Concepts tool designed to help traders understand market structure the single most important foundation in reading price action. It reveals how institutions move liquidity, where structure shifts occur, and how Fair Value Gaps (FVGs) align with these changes to signal potential reversals or continuations.
Understanding How It Works
At its core, the script detects CHoCH (Change of Character) and BOS (Break of Structure)—the two key turning points in institutional order flow. A CHoCH shows that the market has reversed intent (for example, from bearish to bullish), while a BOS confirms a continuation of the current trend. Together, they form the backbone of structure-based trading.
To refine this logic, the engine uses fractal pivots clusters of candles that confirm swing highs and lows. Fractals filter out noise, identifying points where price truly changes direction. The script lets you set this sensitivity manually or automatically adapts it depending on the timeframe. Lower fractal sensitivity captures smaller intraday swings for scalpers, while higher sensitivity locks onto major swing structures for swing and position traders.
The dashboard gives you a real-time reading of the trend, the last high and low, and what the market is likely to do next—for example, “Expect HL” or “Wait for LH.” It even tracks the accuracy of these structure predictions over time, giving an educational feedback loop to help you learn price behavior.
Fair Value Gaps and Tap Entries
Fair Value Gaps (FVGs) mark moments when price moves too quickly, leaving inefficiencies that institutions often revisit. When price taps into an FVG, it often acts as a high-probability entry zone for reversals or continuations. The script automatically detects, extends, and deletes old FVGs, keeping only relevant zones visible for a clean chart.
Traders can enable markTapEntry to visually confirm when an FVG gets filled. This is a simple but powerful trigger that often aligns with CHoCH or BOS moments.
Recommended Settings for Different Traders
For Scalpers, use a lower HTF structure such as 1 minute or 5 minutes. Keep Auto Fractals on for faster reaction, and limit FVG zones to 2–3. This gives you a clean, real-time reflection of order flow.
For Intraday Traders, 15-minute to 1-hour structure gives the perfect balance between reactivity and stability. Fractal sensitivity around 3–5 captures the most actionable levels without excessive noise.
For Swing Traders, use 4-hour, 1-day, or even 3-day structure. The chart becomes smoother, showing higher-order CHoCH and BOS that define true institutional transitions. Combine this with EMA confirmation for higher conviction.
For Position or Macro Traders, select Weekly or Monthly structure. The dynamic label system expands automatically to keep more historical BOS/CHoCH points visible, allowing you to see long-term shifts clearly.
Educational Value
This indicator is built to teach traders how to see structure the way professionals and smart money do. You’ll learn to recognize how markets transition from one phase to another from accumulation to manipulation to expansion. Each CHoCH or BOS helps you decode where liquidity is being taken and where new intent begins.
The included SMC Quick Guide explains each structural cue right on your chart. Within days of using it, you’ll start noticing patterns that reveal how price really moves, instead of guessing based on indicators.
Settings and How to Use Them
Everything in the SMC Reversal Engine is designed to adapt to your trading style and help you read structure like a professional.
When you open the Inputs Panel, you’ll see sections like Fractal Settings, FVG Settings, Buy/Sell Confirmation, and Educational Tools.
Under Fractal Settings, you can choose the higher timeframe (HTF) that defines structure—from minutes to weeks. The Auto Fractal Sensitivity option automatically adjusts how tight or wide swing points are detected. Lower sensitivity captures short-term fluctuations (great for scalpers), while higher values filter noise and isolate major swing highs and lows (perfect for swing traders).
The Fair Value Gap (FVG) options manage imbalance zones—the footprints of institutional orders. You can show or hide these zones, extend them into the future, and control how long they remain before auto-deletion. The Mark Entry When FVG is Tapped option places a small label when price revisits the gap—a potential entry signal that aligns with smart money logic.
EMA Confirmation adds a layer of confluence. The script can automatically scale EMA lengths based on timeframe, or you can input your preferred values (for example, 9/21 for intraday, 50/200 for swing). Require EMA Crossover Confirmation helps filter false moves, keeping you trading only with aligned momentum.
The Educational section gives traders visual reinforcement. When enabled, you’ll see tags like HH (Higher High), HL (Higher Low), LH (Lower High), and LL (Lower Low). These show structure shifts in real time, helping you learn visually what market structure really means. The Cheat Sheet panel summarizes each term, always visible in the corner for quick reference.
Early Top Warnings use wick size and RSI divergence to signal when price may be overextended—a useful heads-up before potential CHoCH formations.
Finally, the Narrative and Accuracy System translates structure into simple English—messages like Trend Bullish → Wait for HL or BOS Bearish → Expect LL. Over time, you can monitor how accurate these expectations have been, training your pattern recognition and confidence.
Pro Tips for Getting the Most Out of the SMC Reversal Engine
1. Start on Higher Timeframes First: Begin on the 4H or Daily chart where structure is cleaner and signals have more weight. Then scale down for entries once you grasp directional intent.
2. Use FVGs for Context, Not Just Entries: Observe how price behaves around unfilled FVGs—they often act as magnets or barriers, offering insight into where liquidity lies.
3. Combine With HTF Bias: Always trade in the direction of your higher timeframe trend. A bullish weekly BOS means lower timeframes should ideally align bullishly for optimal setups.
4. Clean Charts = Clear Mind: Use Minimal Mode when focusing on price action, then toggle the educational tools back on to review structure for learning.
5. Don’t Chase Every CHoCH or BOS: Focus on significant breaks that align with broader context and liquidity sweeps, not minor fluctuations.
6. Accuracy Rate Is a Feedback Tool: Use the accuracy stat as a reflection of consistency—not a trade trigger.
7. Build Narrative Awareness: Read the on-chart narrative messages to reinforce structured thinking and stay disciplined.
8. Practice Replay Mode: Step through past structures to visually connect CHoCH, BOS, and FVG behavior. It’s one of the best ways to train pattern recognition.
Summary
* Detects CHoCH and BOS automatically with fractal precision
* Identifies and manages Fair Value Gaps (FVGs) in real time
* Displays a smart dashboard with accuracy tracking
* Adapts label visibility dynamically by timeframe
* Perfect for both learning and trading with institutional clarity
This tool isn’t about predicting the market—it’s about understanding it. Once you can read structure, everything else in trading becomes secondary.
Liquidity Sweep & Reversal — Body Anchored + Risk (v6)Overview
The Liquidity Sweep & Reversal — Locked to Price (v6) indicator identifies liquidity sweeps around major swing highs and lows, confirming reversals when price closes back inside the swept level.
All signals are locked to price (bottom of green candle for BUY, top of red candle for SELL), so they remain perfectly aligned when zooming or scaling.
This indicator is ideal for swing traders and scalpers who trade reversals, liquidity events, and reclaim structures.
How It Works
Detects confirmed swing highs and lows using a pivot-based structure.
Waits for a liquidity sweep — when price wicks beyond a recent swing.
Confirms a reclaim when price closes back inside the previous swing level.
Triggers a BUY or SELL signal anchored to the candle body.
Automatically calculates stop loss and risk using ATR and your inputs.
Input Settings
Swing Detection
Swing Detection Strength: How many bars confirm a swing pivot. Higher = stronger swings.
Bars to Confirm Reclaim: Number of bars after a sweep for price to close back within the swing zone.
Swing Proximity %: How close price must come to a swing to count as a liquidity sweep.
Trend Filter (optional)
Use EMA Trend Filter: When enabled, only BUY in uptrend and SELL in downtrend.
Fast EMA Length / Slow EMA Length: Define EMAs used to detect trend direction.
Risk & Stop Management
ATR Length: Period for ATR calculation (volatility measurement).
Base ATR Stop Buffer (x ATR): Distance of stop loss from entry based on ATR multiplier.
Position Size (quote units): Your total position size in quote currency (e.g., USDT).
Risk % of (Position / 20): Defines how much of your position to risk per trade.
Example: (Position / 20) × Risk % = per-trade risk.
Chart Elements
BUY Arrow (green): Appears after a liquidity sweep and reclaim near a swing low.
SELL Arrow (red): Appears after a sweep and reclaim near a swing high.
Labels: Display entry price, stop loss (SL), and calculated risk dollar value.
EMAs: Optional fast/slow moving averages for directional bias.
Dynamic Stops: Adjust automatically using ATR × risk settings.
Trading Tips
Use BUY signals near liquidity sweeps under swing lows.
Use SELL signals near liquidity sweeps above swing highs.
Adjust swing length for different timeframes:
Lower values for scalping (3–5)
Higher values for swing trading (7–10)
Respect stop loss levels and use risk control settings for consistent sizing.
Combine with volume, OBV, or structure for confirmation.
Alerts
BUY — Locked to Price: "BUY: swing low reclaimed with dynamic stop."
SELL — Locked to Price: "SELL: swing high reclaimed with dynamic stop."
Best Use Cases
Liquidity-based reversals
Swing entry confirmation
Stop hunt reclaims
Structure-based entries
Author
Created by @roccodallas
For traders who value clean structure, risk control, and chart precision.
Climax Absorption Engine [AlgoPoint]Overview
Have you ever noticed that during a sharp, fast-moving trend, the single candle with the highest volume often appears right at the end, just before the price reverses? This is no coincidence. It's the footprint of a Climax Event.
This indicator is designed to detect these critical moments of maximum panic (capitulation) and maximum euphoria (FOMO). These are the moments when retail traders are driven by emotion, creating a massive pool of liquidity. The "Climax Absorption Engine" identifies when Smart Money is likely absorbing this liquidity to enter large positions against the crowd, right before a potential reversal.
It's a tool built not just on mathematical formulas, but on the principles of market psychology and smart money activity.
How It Works: The 3-Step Logic
The indicator uses a sequential, three-step process to identify high-probability reversal setups:
1. Momentum Move Detection: First, the engine identifies a period of strong, directional momentum. It looks for a series of consecutive, same-colored candles and confirms that the move is backed by a steeply sloped moving average. This ensures we are only looking for climactic events at the end of a significant, non-random move.
2. Climax Candle Identification: Within this momentum move, the indicator scans for a candle with abnormally high volume—a volume spike that is significantly larger than the recent average. This candle is marked on your chart with a diamond shape and is identified as the Climax Candle. This is the point of peak emotion and the primary area of interest. No signal is generated yet.
3. Absorption & Reversal Confirmation: A climax is a warning, not a signal. The final signal is only triggered after the market confirms the reversal.
- For a BUY Signal: After a bearish (red) Climax Candle, the indicator waits for a subsequent green candle to close decisively above the midpoint of the Climax Candle. This confirms that the panic selling has been absorbed by buyers.
- For a SELL Signal: After a bullish (green) Climax Candle, it waits for a subsequent red candle to close decisively below the midpoint. This confirms that the euphoric buying has evaporated.
How to Interpret & Use This Indicator
- The Diamond Shape: A diamond shape on your chart is an early warning. It signifies that a climax event has occurred and the underlying trend is exhausted. This is the time to pay close attention and prepare for a potential reversal.
- The BUY/SELL Labels: These are the final, actionable signals. They appear only after the reversal has been confirmed by price action.
- A BUY signal suggests that capitulation selling is over, and buyers have absorbed the pressure.
- A SELL signal suggests that FOMO buying is over, and sellers are now in control.
Key Settings
- Momentum Detection: Adjust the number of consecutive bars and the EMA slope required to define a valid momentum move.
- Climax Detection: Fine-tune the sensitivity of the volume spike detection using the Volume Multiplier. Higher values will find only the most extreme events.
- Confirmation Window: Define how many bars the indicator should wait for a reversal candle after a climax event before the setup is cancelled.
AK_Trend reversal_Range_Market_RSI + Stoch. RSIRSI + Stoch. RSI based indicator to predict trend reversal. Most applicable in range market
Adaptive Trend Cloud + Smart Reversal Zones [@darshakssc]This indicator combines a volatility-adjusted trend cloud with RSI- and volume-based reversal signals to help traders visually spot potential trend continuation or reversal zones.
It’s designed to look clean, colorful, and informative — great for both beginners and experienced traders looking for chart clarity and actionable insights.
🔍 How It Works
🔵 1. Trend Cloud
1. The cloud is created using a 34-period EMA as the base and adjusted with a 14-period ATR multiplier.
2. When price is above the EMA, the cloud turns green (bullish).
3. When price is below the EMA, it turns red (bearish).
4. A neutral gray tone shows when price is inside the cloud, signaling potential indecision.
🔁 2. Smart Reversal Signal Logic
1. Signals appear only when price enters the cloud zone, indicating a potential change in direction.
2. To confirm the reversal, the following conditions must also be met:
3. RSI is below 40 (for bullish reversals) or above 60 (for bearish reversals)
4. A volume spike occurs (1.8× the 20-bar volume average)
5. A cooldown of 10 bars between signals prevents overplotting
🎯 3. TP & SL Labels
1. When a valid buy or sell signal appears:
🎯 TP (Take Profit) is placed at 2× ATR distance
🛑 SL (Stop Loss) is placed at 1× ATR distance
These levels are shown via chart labels for visual reference
🛎️ 4. Alerts
1. Built-in alerts trigger on:
🟢 Buy reversal signals
🔴 Sell reversal signals
✅ How to Use
1. Apply the indicator to any chart (works best on 5min–4h timeframes)
2. Look for the 🟢 Buy / 🔴 Sell labels when price touches the cloud
3. Use the visual TP/SL markers as reference zones — not financial advice
4. Combine with your own risk management, price action or confluence tools
⚙️ Customization Options
1. EMA & ATR lengths and multipliers
2. RSI and volume thresholds
3. Signal cooldown to reduce noise
4. Toggle TP/SL zones on or off
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts and combine with your own trading system.
Apex Edge - VantageApex Edge – Vantage
Quarter-Wick Reversal System | Price Action Based | Non-Repainting | Visual Confirmation Tool
Overview:
Apex Edge – Vantage is a precision price action indicator built to assist traders in identifying high-probability reversal entries — not based on indicators, but on how candles behave at their extremes.
This tool implements a clean, repeatable framework that reflects how I personally trade:
Spot a candle that closes with strong directional intent,
Then wait for a controlled pullback into the outer quarter,
And strike — only if price respects that line.
There’s no magic here — just raw, tactical logic visualized clearly on your chart. It's not designed to predict the market — it's built to respond when price offers you Vantage.
Core Logic:
Dot Detection – Final Quarter Close Candles
A green dot prints below a bullish candle if it closes within the top 25% of its wick-to-wick range.
A red dot prints above a bearish candle if it closes within the bottom 25% of its range.
These dots signify candles that made a strong, deliberate move in one direction — where price was pushed to an extreme and held that extreme into the close. These candles often signal institutional intent or momentum imbalance.
Entry Confirmation – Controlled Wick Rebalance
On the very next candle only, price must wick into the prior dot candle's outer quarter — but must not pass beyond it.
For buy entries, the wick must enter the bottom 25% of the previous green dot candle, but not dip below it.
For sell entries, the wick must reach into the top 25% of the red dot candle, but not exceed it.
This wick into the quarter is seen as a controlled rebalancing — a tactical reaction back into the origin zone before potential continuation.
Arrow Printing – Visual Entry Signal
Once the entry criteria are confirmed, an arrow is printed after the candle closes.
This arrow continues to print on each new candle as long as price does not violate the original entry zone — giving visual confirmation that the trade thesis is still valid.
If price breaks above/below the quarter range, the arrow disappears.
This ongoing confirmation is useful for staying in trades, managing risk, or spotting failed setups early.
Automatic Stop Loss Level
A horizontal Stop Loss line is drawn from the extreme wick of the original dot candle.
For buy entries, SL is placed below the green dot candle's low.
For sell entries, SL is placed above the red dot candle's high.
This provides immediate risk context — perfect for traders using limit orders or looking to scale in.
Coding Logic:
This script uses plotshape() and plot() functions for all visual elements.
Dot candles are identified using quarter-range logic via:
pinescript
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close >= high - (high - low) * 0.25 // for bullish
close <= low + (high - low) * 0.25 // for bearish
Entry validation logic triggers only on the next candle, using:
pinescript
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Edit
low >= quarterLine and low <= high // for buy entries
high <= quarterLine and high >= low // for sell entries
Arrows and SL lines are plotted only on closed candles, ensuring non-repainting behavior.
alertcondition() is used for real-time alerts on valid buy/sell triggers.
How I Personally Use It:
I wait for a dot to print — this shows directional conviction.
On the next candle, I watch for a tap into the outer quarter.
If the wick meets the criteria and the candle closes, I’ll execute manually at the close of that candle.
As long as the arrow remains on the chart, I know the setup hasn’t been invalidated.
I combine this with market structure, session timing, and liquidity context to build confluence around each trade.
Alerts Included:
Buy Entry Alert: When a green arrow prints (entry confirmed)
Sell Entry Alert: When a red arrow prints (entry confirmed)
These fire once per confirmed signal, allowing you to react in real-time or automate if desired.
Who This Is For:
Manual traders who want clean price-based entries
Anyone who uses market structure, SMC, or liquidity concepts
Traders looking to replace indicators with pure candle logic
Discretionary or semi-systematic traders who want visual tools to guide their decisions
Final Word
Apex Edge – Vantage doesn’t predict price — it shows you where price is offering you control.
This is a surgical tool designed to help you act only when the market gives you a measurable edge — and to stay in the trade as long as that edge holds.
If you're ready to stop chasing trades and start striking from a position of Vantage, then this tool belongs on your chart.
9 EMA 75% HA Crossover + EMA ReversalThis script identifies potential trend reversal points using Heikin-Ashi candles and the 9-period Exponential Moving Average (EMA). A signal is generated only when:
The 9 EMA reverses direction after a consistent trend (up or down).
The EMA crosses into at least 75% of the Heikin-Ashi candle body.
The highlighted candle must align with the reversal:
Green candle for bullish reversal
Red candle for bearish reversal
This setup helps filter out weak signals by combining price structure, trend behavior, and candle color confirmation.
Rally Base Drop SND Pivots Strategy [LuxAlgo X PineIndicators]This strategy is based on the Rally Base Drop (RBD) SND Pivots indicator developed by LuxAlgo. Full credit for the concept and original indicator goes to LuxAlgo.
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand trading system that detects pivot points based on Rally, Base, and Drop (RBD) candles. This strategy automatically identifies key market structure levels, allowing traders to:
Identify pivot-based supply and demand (SND) zones.
Use fixed criteria for trend continuation or reversals.
Filter out market noise by requiring structured price formations.
Enter trades based on breakouts of key SND pivot levels.
How the Rally Base Drop SND Pivots Strategy Works
1. Pivot Point Detection Using RBD Candles
The strategy follows a rigid market structure methodology, where pivots are detected only when:
A Rally (R) consists of multiple consecutive bullish candles.
A Drop (D) consists of multiple consecutive bearish candles.
A Base (B) is identified as a transition between Rallies and Drops, acting as a pivot point.
The pivot level is confirmed when the formation is complete.
Unlike traditional fractal-based pivots, RBD Pivots enforce stricter structural rules, ensuring that each pivot:
Has a well-defined bullish or bearish price movement.
Reduces false signals caused by single-bar fluctuations.
Provides clear supply and demand levels based on structured price movements.
These pivot levels are drawn on the chart using color-coded boxes:
Green zones represent bullish pivot levels (Rally Base formations).
Red zones represent bearish pivot levels (Drop Base formations).
Once a pivot is confirmed, the high or low of the base candle is used as the reference level for future trades.
2. Trade Entry Conditions
The strategy allows traders to select from three trading modes:
Long Only – Only takes long trades when bullish pivot breakouts occur.
Short Only – Only takes short trades when bearish pivot breakouts occur.
Long & Short – Trades in both directions based on pivot breakouts.
Trade entry signals are triggered when price breaks through a confirmed pivot level:
Long Entry:
A bullish pivot level is formed.
Price breaks above the bullish pivot level.
The strategy enters a long position.
Short Entry:
A bearish pivot level is formed.
Price breaks below the bearish pivot level.
The strategy enters a short position.
The strategy includes an optional mode to reverse long and short conditions, allowing traders to experiment with contrarian entries.
3. Exit Conditions Using ATR-Based Risk Management
This strategy uses the Average True Range (ATR) to calculate dynamic stop-loss and take-profit levels:
Stop-Loss (SL): Placed 1 ATR below entry for long trades and 1 ATR above entry for short trades.
Take-Profit (TP): Set using a Risk-Reward Ratio (RR) multiplier (default = 6x ATR).
When a trade is opened:
The entry price is recorded.
ATR is calculated at the time of entry to determine stop-loss and take-profit levels.
Trades exit automatically when either SL or TP is reached.
If reverse conditions mode is enabled, stop-loss and take-profit placements are flipped.
Visualization & Dynamic Support/Resistance Levels
1. Pivot Boxes for Market Structure
Each pivot is marked with a colored box:
Green boxes indicate bullish demand zones.
Red boxes indicate bearish supply zones.
These boxes remain on the chart to act as dynamic support and resistance levels, helping traders identify key price reaction zones.
2. Horizontal Entry, Stop-Loss, and Take-Profit Lines
When a trade is active, the strategy plots:
White line → Entry price.
Red line → Stop-loss level.
Green line → Take-profit level.
Labels display the exact entry, SL, and TP values, updating dynamically as price moves.
Customization Options
This strategy offers multiple adjustable settings to optimize performance for different market conditions:
Trade Mode Selection → Choose between Long Only, Short Only, or Long & Short.
Pivot Length → Defines the number of required Rally & Drop candles for a pivot.
ATR Exit Multiplier → Adjusts stop-loss distance based on ATR.
Risk-Reward Ratio (RR) → Modifies take-profit level relative to risk.
Historical Lookback → Limits how far back pivot zones are displayed.
Color Settings → Customize pivot box colors for bullish and bearish setups.
Considerations & Limitations
Pivot Breakouts Do Not Guarantee Reversals. Some pivot breaks may lead to continuation moves instead of trend reversals.
Not Optimized for Low Volatility Conditions. This strategy works best in trending markets with strong momentum.
ATR-Based Stop-Loss & Take-Profit May Require Optimization. Different assets may require different ATR multipliers and RR settings.
Market Noise May Still Influence Pivots. While this method filters some noise, fake breakouts can still occur.
Conclusion
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand system that combines:
Pivot-based market structure analysis (using Rally, Base, and Drop candles).
Breakout-based trade entries at confirmed SND levels.
ATR-based dynamic risk management for stop-loss and take-profit calculation.
This strategy helps traders:
Identify high-probability supply and demand levels.
Trade based on structured market pivots.
Use a systematic approach to price action analysis.
Automatically manage risk with ATR-based exits.
The strict pivot detection rules and built-in breakout validation make this strategy ideal for traders looking to:
Trade based on market structure.
Use defined support & resistance levels.
Reduce noise compared to traditional fractals.
Implement a structured supply & demand trading model.
This strategy is fully customizable, allowing traders to adjust parameters to fit their market and trading style.
Full credit for the original concept and indicator goes to LuxAlgo.
Turtle Soup ICT Strategy [TradingFinder] FVG + CHoCH/CSD🔵 Introduction
The ICT Turtle Soup trading setup, designed in the ICT style, operates by hunting or sweeping liquidity zones to exploit false breakouts and failed breakouts in key liquidity Zones, such as recent highs, lows, or major support and resistance levels.
This setup identifies moments when the price breaches these liquidity zones, triggering stop orders placed (Stop Hunt) by other traders, and then quickly reverses direction. These movements are often associated with liquidity sweeps that create temporary market imbalances.
The reversal is typically confirmed by one of three structural shifts : a Market Structure Shift (MSS), a Change of Character (CHoCH), or a break of the Change in State of Delivery (CISD). Each of these structural shifts provides a reliable signal to interpret market intent and align trading decisions with the expected price movement. After the structural shift, the price frequently pullback to a Fair Value Gap (FVG), offering a precise entry point for trades.
By integrating key concepts such as liquidity, liquidity sweeps, stop order activation, structural shifts (MSS, CHoCH, CISD), and price imbalances, the ICT Turtle Soup setup enables traders to identify reversal points and key entry zones with high accuracy.
This strategy is highly versatile, making it applicable across markets such as forex, stocks, cryptocurrencies, and futures. It offers traders a robust and systematic approach to understanding price movements and optimizing their trading strategies
🟣 Bullish and Bearish Setups
Bullish Setup : The price first sweeps below a Sell-Side Liquidity (SSL) zone, then reverses upward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a buying opportunity.
Bearish Setup : The price first sweeps above a Buy-Side Liquidity (BSL) zone, then reverses downward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a selling opportunity.
🔵 How to Use
To effectively utilize the ICT Turtle Soup trading setup, begin by identifying key liquidity zones, such as recent highs, lows, or support and resistance levels, in higher timeframes.
Then, monitor lower timeframes for a Liquidity Sweep and confirmation of a Market Structure Shift (MSS) or Change of Character (CHoCH).
After the structural shift, the price typically pulls back to an FVG, offering an optimal trade entry point. Below, the bullish and bearish setups are explained in detail.
🟣 Bullish Turtle Soup Setup
Identify Sell-Side Liquidity (SSL) : In a higher timeframe (e.g., 1-hour or 4-hour), identify recent price lows or support levels that serve as SSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe (e.g., 15-minute or 30-minute), the price must move below one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Higher Low (HL) and Higher High (HH).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a buy trade in this zone, set a stop-loss slightly below the recent low, and target Buy-Side Liquidity (BSL) in the higher timeframe for profit.
🟣 Bearish Turtle Soup Setup
Identify Buy-Side Liquidity (BSL) : In a higher timeframe, identify recent price highs or resistance levels that serve as BSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe, the price must move above one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Lower High (LH) and Lower Low (LL).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a sell trade in this zone, set a stop-loss slightly above the recent high, and target Sell-Side Liquidity (SSL) in the higher timeframe for profit.
🔵 Settings
Higher TimeFrame Levels : This setting allows you to specify the higher timeframe (e.g., 1-hour, 4-hour, or daily) for identifying key liquidity zones.
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filter s:
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
In the indicator settings, you can customize the visibility of various elements, including MSS, FVG, and HTF Levels. Additionally, the color of each element can be adjusted to match your preferences. This feature allows traders to tailor the chart display to their specific needs, enhancing focus on the key data relevant to their strategy.
🔵 Conclusion
The ICT Turtle Soup trading setup is a powerful tool in the ICT style, enabling traders to exploit false breakouts in key liquidity zones. By combining concepts of liquidity, liquidity sweeps, market structure shifts (MSS and CHoCH), and pullbacks to FVG, this setup helps traders identify precise reversal points and execute trades with reduced risk and increased accuracy.
With applications across various markets, including forex, stocks, crypto, and futures, and its customizable indicator settings, the ICT Turtle Soup setup is ideal for both beginner and advanced traders. By accurately identifying liquidity zones in higher timeframes and confirming structure shifts in lower timeframes, this setup provides a reliable strategy for navigating volatile market conditions.
Ultimately, success with this setup requires consistent practice, precise market analysis, and proper risk management, empowering traders to make smarter decisions and achieve their trading goals.
