Khusan Pullback & Mean-Reversion (Manual ADX, Clean)Description
The indicator combines two logics in one tool:
Trend Pullback: Entries in the direction of the dominant trend after a short-term pullback to the EMA.
Return to the mean (Mean-Reversal): countertrend trades from external Bollinger bands with an RSI filter.
Key Features
Manual ADX (Wilder calculation): more precisely, it controls the strength of the trend without hidden smoothing.
There is a clear separation of market modes: the background of the chart highlights the condition: trend up/down or sideways (range).
Signal tags: Long TPB / Short TPB for pullbacks in the trend, Long MR / Short MR for a return to the average.
A minimum of “noise": neat colors, clear captions, without unnecessary graphics.
How to read signals
Trend Pullback
Long TPB — ADX ≥ threshold, price returns above fast EMA, RSI > 45.
Short TPB — ADX ≥ threshold, price goes below fast EMA, RSI < 55.
Mean-Reversion
Long MR — sideways (ADX < threshold), price below lower BB, RSI < 30, confirmation of reversal.
Short MR — sideways (ADX < threshold), price above upper BB, RSI > 70, reversal confirmation.
Parameters (Inputs)
EMA fast / EMA slow — fast and slow EMA (default 20/50).
ADX length / threshold — period and trend strength threshold.
BB length / mult — period and Bollinger Bands multiplier.
RSI length — RSI period.
Show labels/background — enable mode signatures and highlighting.
Recommendations for use
Timeframes: from M15 to H4. On lower TF, add a filter by the higher trend (e.g. H1/H4 EMA).
Instruments: XAUUSD, FX majors, indices, liquid futures and crypto pairs.
Risk management: for TPB, use SL behind the local swing extremum/below the EMA zone; for MR, use SL behind the external BB.
Filters: avoid entering against strong news; prioritize MR when volatility is low, and TPB when volatility is high.
Alerts
Create standard alerts based on the appearance of Long/Short TPB and Long/Short MR labels — the indicator provides clear conditions for auto-entry/notifications.
Important
The indicator is not
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T-Virus Sentiment [hapharmonic]🧬 T-Virus Sentiment: Visualize the Market's DNA
Remember the iconic T-Virus vial from the first Resident Evil? That powerful, swirling helix of potential has always fascinated me. It sparked an idea: what if we could visualize the market's underlying health in a similar way? What if we could capture the "genetic code" of market sentiment and contain it within a dynamic, 3D indicator? This project is the result of that idea, brought to life with Pine Script.
The indicator's main goal is to measure the strength and direction of market sentiment by analyzing the "genetic code" of price action through a variety of trusted indicators. The result is displayed as a liquid level within a DNA helix, a bubble density representing buying pressure, and a T-Virus mascot that reflects the overall mood.
🧐 Core Concept: How It Works
The primary output of the indicator is the "Active %" gauge you see on the right side of the vial. This percentage represents the overall sentiment score, calculated as an average from 7 different technical analysis tools. Each tool is analyzed on every bar and assigned a score from 1 (strong bearish pressure) to 5 (strong bullish potential).
In this indicator, we re-imagine market dynamics through the lens of a viral outbreak. A strong bear market is like a virus taking hold, pulling all technical signals down into a state of weakness. Conversely, a powerful bull market is like an antiviral serum ; positive signals rise and spread toward the top of the vial, indicating that the system is being injected with strength.
This is not just another line on a chart. It's a comprehensive sentiment dashboard designed to give an immediate, at-a-glance understanding of the confluence between 7 classic technical indicators. The incredible 3D model of the vial itself was inspired by a design concept found here .
⚛️ The 4 Core Elements of T-Virus Sentiment
These four elements work in harmony to give a complete, multi-faceted picture of market sentiment. Each component tells a different part of the story.
The Virus Mascot: An instant emotional cue. This character provides the quickest possible read on the overall market mood, combining sentiment with volume pressure.
The Antiviral Serum Level: The main quantitative output. This is the liquid level in the DNA helix and the percentage gauge on the right, representing the average sentiment score from all 7 indicators.
Buy Pressure & Bubble Density: This visualizes volume flow. The density of bubbles represents the intensity of accumulation (buying) versus distribution (selling). It's the "power" behind the move.
The Signal Distribution: This shows the confluence (or dispersion) of sentiment. Are all signals bullish and clustered at the top, or are they scattered, indicating a conflicted market? The position of the indicator labels is crucial, as each is assigned to one of five distinct zones:
Base Bottom: The market is at its weakest. Signals here suggest strong bearish control and distribution.
Lower Zone: The market is still bearish, but signals may be showing early signs of accumulation or bottoming.
Neutral Core (Center): A state of balance or sideways consolidation. The market is waiting for a new direction.
Upper Zone: Bullish momentum is becoming clear. Signals are strengthening and showing bullish control.
Top Cap: The market is "heating up" with strong bullish sentiment, potentially nearing overbought conditions.
🐂🐻 The Virus Mascot: The At-a-Glance Indicator
This character acts as a shortcut to confirm market health. It combines the sentiment score with volume, preventing false confidence in a low-volume rally.
Its state is determined by a dual-check: the overall "Antiviral Serum Level" and the "Buy Pressure" must both be above 50%.
Green & Smiling: The 'all clear' signal. This means that not only is the overall technical sentiment bullish, but it's also being supported by real buying pressure. This is a sign of a healthy bull market.
Red & Angry: A warning sign. This appears if either the sentiment is weak, or a bullish sentiment is not being confirmed by buying volume. The latter could indicate a potential "bull trap" or an exhaustive move.
This mascot can be disabled from the settings page under "Virus Mascot Styling" if a cleaner look is preferred.
🫧 Bubble Density: Gauging Buy vs. Sell Pressure
The bubbles visualize the battle between buyers and sellers. There are two modes to control how this is calculated:
Mode 1: Visible Range (The 'Big Picture' View)
This default mode is best for getting a broad, contextual understanding of the current session. It dynamically analyzes the volume of every single candlestick currently visible on the screen to calculate the buy/sell pressure ratio. It answers the question: "Over the entire period I'm looking at, who is in control?" As you zoom in or out, the calculation adapts.
Mode 2: Custom Lookback (The 'Precision' View)
This mode is for traders who need to analyze short-term pressure. You can define a fixed number of recent bars to analyze, which is perfect for scalping or understanding the volume dynamics leading into a key level. It answers the question: "What is happening right now ?" In the example above, a lookback of 2 focuses only on the most recent action, clearly showing intense, immediate selling pressure (few bubbles) and a corresponding drop in the sentiment score to 29%.
ℹ️ Interactive Tooltips: Dive Deeper
We believe in transparency, not 'black box' indicators. This feature transforms the indicator from a visual aid into an active learning tool.
Simply hover the mouse over any indicator label (like EMA, OBV, etc.) to get a detailed tooltip. It will explain the specific data points and thresholds that signal met to be placed in its current zone. This helps build trust in the signals and allows users to fine-tune the indicator settings to better match their own trading style.
🎯 The Scoring Logic Breakdown
The "Antiviral Serum Level" gauge is the average score from 7 technical analysis tools. Each is graded on a 5-point scale (1=Strong Bearish to 5=Strong Bullish). Here’s a detailed, transparent look at how each "gene" is evaluated:
Relative Strength Index (RSI)
Measures momentum and overbought/oversold conditions.
Group 1 (Strong Bearish): RSI > 80 (Extreme Overbought)
Group 2 (Bearish): 70 < RSI ≤ 80 (Overbought)
Group 3 (Neutral): 30 ≤ RSI ≤ 70
Group 4 (Bullish): 20 ≤ RSI < 30 (Oversold)
Group 5 (Strong Bullish): RSI < 20 (Extreme Oversold)
Exponential Moving Averages (EMA)
Evaluates the trend's strength and structure based on the alignment of multiple EMAs (9, 21, 50, 100, 200, 250).
Group 1 (Strong Bearish): A perfect bearish sequence (9 < 21 < 50 < ...)
Group 2 (Bearish Transition): Early signs of a potential reversal (e.g., 9 > 21 but still below 50)
Group 3 (Neutral / Mixed): MAs are intertwined or showing a partial bullish sequence.
Group 4 (Bullish): A strong bullish sequence is forming (e.g., 9 > 21 > 50 > 100)
Group 5 (Strong Bullish): A perfect bullish sequence (9 > 21 > 50 > 100 > 200 > 250)
Moving Average Convergence Divergence (MACD)
Analyzes the relationship between two moving averages to gauge momentum.
Group 1 (Strong Bearish): MACD & Histogram are negative and momentum is falling.
Group 2 (Weakening Bearish): MACD is negative but the histogram is rising or positive.
Group 3 (Neutral / Crossover): A crossover event is occurring near the zero line.
Group 4 (Bullish): MACD & Histogram are positive.
Group 5 (Strong Bullish): MACD & Histogram are positive, rising strongly, and accelerating.
Average Directional Index (ADX)
Measures trend strength, not direction. The score is based on both ADX value and the dominance of DI+ vs DI-.
Group 1 (Bearish / No Trend): ADX < 20 and DI- is dominant.
Group 2 (Developing Bearish Trend): 20 ≤ ADX < 25 and DI- is dominant.
Group 3 (Neutral / Indecision): Trend is weak or DI+ and DI- are nearly equal.
Group 4 (Developing Bullish Trend): 25 ≤ ADX ≤ 40 and DI+ is dominant.
Group 5 (Strong Bullish Trend): ADX > 40 and DI+ is dominant.
Ichimoku Cloud (IKH)
A comprehensive indicator that defines support/resistance, momentum, and trend direction.
Group 1 (Strong Bearish): Price is below the Kumo, Tenkan < Kijun, and Chikou is below price.
Group 2 (Bearish): Price is inside or below the Kumo, with mixed secondary signals.
Group 3 (Neutral / Ranging): Price is inside the Kumo, often with a Tenkan/Kijun cross.
Group 4 (Bullish): Price is above the Kumo with strong primary signals.
Group 5 (Strong Bullish): All signals are aligned bullishly: price above Kumo, bullish Tenkan/Kijun cross, bullish future Kumo, and Chikou above price.
Bollinger Bands (BB)
Measures volatility and relative price levels.
Group 1 (Strong Bearish): Price is below the lower band.
Group 2 (Bearish Territory): Price is between the lower band and the basis line.
Group 3 (Neutral): Price is hovering around the basis line.
Group 4 (Bullish Territory): Price is between the basis line and the upper band.
Group 5 (Strong Bullish): Price is above the upper band.
On-Balance Volume (OBV)
Uses volume flow to predict price changes. The score is based on OBV's trend and its position relative to its moving average.
Group 1 (Strong Bearish): OBV is below its MA and falling.
Group 2 (Weakening Bearish): OBV is below its MA but showing signs of rising.
Group 3 (Neutral): OBV is very close to its MA.
Group 4 (Bullish): OBV is above its MA and rising.
Group 5 (Strong Bullish): OBV is above its MA, rising strongly, and showing signs of a volume spike.
🧭 How to Use the T-Virus Sentiment Indicator
IMPORTANT: This indicator is a sentiment dashboard , not a direct buy/sell signal generator. Its strength lies in showing confluence and providing a quick, holistic view of the market's technical health.
Confirmation Tool: Use the "Active %" gauge to confirm a trade setup from your primary strategy. For example, if you see a bullish chart pattern, a high and rising sentiment score can add confidence to your trade.
Momentum & Trend Gauge: A consistently high score (e.g., > 75%) suggests strong, established bullish momentum. A consistently low score (< 25%) suggests strong bearish control. A score hovering around 50% often indicates a ranging or indecisive market.
Divergence & Warning System: Pay attention to divergences. If the price is making new highs but the sentiment score is failing to follow or is actively decreasing, it could be an early warning sign that the underlying momentum is weakening.
⚙️ Settings & Customization
The indicator is highly customizable to fit any trading style.
Position & Anchor: Control where the vial appears on the chart.
Styling (Vial, Helix, etc.): Nearly every visual element can be color-customized.
Signals: This is where the real power is. All underlying indicator parameters (RSI length, MACD settings, etc.) can be fine-tuned to match a personal strategy. The text labels can also be disabled if the chart feels cluttered.
Enjoy visualizing the market's DNA with the T-Virus Sentiment indicator
Institutional Momentum Zones (ADX+ROC+DI+MACD+Filters)Institutional Momentum Zones (ADX + ROC + DI + MACD + Filters)
This indicator is designed to help traders visually identify Bullish, Neutral, and Bearish momentum zones on Nifty, indices, or any liquid asset, using a rules-based, institutional-style approach.
It combines multiple professional-grade momentum and trend filters into a single framework:
ADX (Average Directional Index) – Measures trend strength, filters out choppy conditions.
Directional Indicators (+DI / –DI) – Confirms whether bulls or bears are in control.
ROC (Rate of Change) – Quantifies momentum speed and direction.
MACD (optional) – Adds confirmation by checking multi-timeframe momentum alignment.
EMA Filters (optional) – Ensures price is in alignment with long-term trend bias.
Supertrend (optional) – Can be enabled for additional trend confirmation.
How it works:
Bullish Zone (Green) → Strong trend (ADX > threshold) + upward momentum (ROC > 0, +DI > –DI) + optional EMA/MACD/Supertrend confirmation.
Bearish Zone (Red) → Strong trend (ADX > threshold) + downward momentum (ROC < 0, –DI > +DI) + optional EMA/MACD/Supertrend confirmation.
Neutral Zone (Yellow) → Low trend strength (ADX < threshold) or mixed momentum signals.
Features:
Automatic background coloring for zone detection.
On-chart labels marking new zone changes.
EMA50 / EMA200 and Supertrend overlay options.
Signal markers for bullish/bearish entries.
Info panel with live ADX, ROC, DI values, and MACD histogram.
Alert conditions for zone changes (Bull, Bear, Neutral).
Best used for:
Index momentum tracking (e.g., Nifty, Bank Nifty, Dow, S&P500)
Swing trading & positional trading strategies
Filtering trades to avoid entering during low-momentum chop
Tip: For Nifty positional trading, use Daily or 4H charts with EMA & MACD filters enabled for cleaner, high-confidence signals.
RSI + ADX + ATR Combo Indicator: RSI + ADX + ATR Combo Filter
This indicator is a confluence filter tool that combines RSI, ADX, and ATR into a single, easy-to-read chart overlay. It is designed to help traders identify low-volatility, non-trending zones with balanced momentum—ideal for strategies that rely on breakouts or reversals.
🔍 Core Components:
RSI (Relative Strength Index)
Standard RSI with custom upper and lower bounds (default: 60 and 40).
Filters out extreme overbought/oversold regions and focuses on price consolidation zones.
ADX (Average Directional Index)
Measures trend strength.
When ADX is below a custom threshold (default: 20), it indicates a weak or range-bound trend.
ATR (Average True Range)
Represents volatility.
Low ATR values (default threshold: 2.5) are used to filter out high-volatility environments, helping refine entries.
🟣 Signal Logic:
A signal is highlighted with a background color when all three conditions are met:
RSI is between lower and upper bounds (e.g., 40 < RSI < 60) ✅
ADX is below the trend threshold (e.g., ADX < 20) ✅
ATR is below the volatility threshold (e.g., ATR < 2.5) ✅
These combined conditions suggest a low-volatility, low-trend strength, and balanced momentum zone—perfect for anticipating breakouts or strong directional moves.
Volume +OBV + ADXVolume + OBV + ADX Table
Optimized Buyer & Seller Volume with Trend Indications
Overview:
This indicator provides a comprehensive view of market participation and trend strength by integrating Volume, On Balance Volume (OBV) trends, and ADX (Average Directional Index) signals into a visually structured table. Designed for quick decision-making, it highlights buyer and seller dominance while comparing the selected stock with another custom symbol.
Features:
✅ Buyer & Seller Volume Analysis:
Computes buyer and seller volume percentages based on market movements.
Displays daily cumulative volume statistics to assess ongoing market participation.
✅ On Balance Volume (OBV) Trends:
Identifies positive, negative, or neutral OBV trends using an advanced smoothing mechanism.
Highlights accumulation or distribution phases with colored visual cues.
✅ ADX-Based Trend Confirmation:
Evaluates Directional Indicators (DI+ and DI-) to determine the trend direction.
Uses customizable ADX settings to filter out weak trends.
Provides uptrend, downtrend, or neutral signals based on strength conditions.
✅ Custom Symbol Comparison:
Allows users to compare two different assets (e.g., a stock vs. an index or ETF).
Displays a side-by-side comparison of volume dynamics and trend strength.
✅ User-Friendly Table Display:
Presents real-time calculations in a compact and structured table format.
Uses color-coded trend signals for easier interpretation.
Recommended Usage for Best Results:
📌 Pairing this indicator with Sri_Momentum and Sri(+) Pivot will enhance accuracy and provide better trade confirmations.
📌 Adding other major indicators like RSI, CCI, etc., will further increase the probability of winning trades.
How to Use:
Select a custom symbol for comparison.
Adjust ADX settings based on market conditions.
Analyze the table to identify buyer/seller dominance, OBV trends, and ADX trend strength.
Use the combined signals to confirm trade decisions and market direction.
Best Use Cases:
🔹 Trend Confirmation – Validate breakout or reversal signals.
🔹 Volume Strength Analysis – Assess buyer/seller participation before entering trades.
🔹 Multi-Asset Comparison – Compare the behavior of two related instruments.
This indicator is ideal for traders looking to combine volume dynamics with trend-following strategies. 🚀📈
Advanced Supertrend Enhanced ADXEnhanced Supertrend ADX Indicator - Technical Documentation
Overview
The Enhanced Supertrend ADX indicator combines ADX directional strength with Supertrend trend-following capabilities, creating a comprehensive trend detection system. It's enhanced with normalization techniques and multiple filters to provide reliable trading signals.
Key Features and Components
The indicator incorporates three main components:
Core ADX and Supertrend Fusion
Uses a shorter ADX period for increased sensitivity
Integrates Supertrend signals for trend confirmation
Applies a long-term moving average for trend context
Advanced Filtering System
Volatility filter: Identifies periods of significant market movement
Momentum filter: Confirms the strength and sustainability of trends
Lateral market detection: Identifies ranging market conditions
Data Normalization
Standardizes indicator readings across different instruments
Makes signals comparable across various market conditions
Reduces extreme values and false signals
Model Assumptions
The indicator operates under several key assumptions:
Market Behavior
Markets alternate between trending and lateral phases
Strong trends correlate with increased volatility
Price momentum confirms trend strength
Market transitions follow identifiable patterns
Signal Reliability
Low ADX values indicate lateral markets
Valid signals require both volatility and momentum confirmation
Multi-filter confirmation increases signal reliability
Price normalization enhances signal quality
Trading Applications
The indicator supports different trading approaches:
Trend Trading
Strong signals when all filters align
Clear distinction between bullish and bearish trends
Momentum confirmation for trend continuation
Range Trading
Clear identification of lateral markets
Band-based trading boundaries
Reduced false breakout signals
Transition Trading
Early identification of trend-to-range transitions
Clear signals for range-to-trend transitions
Momentum-based confirmation of breakouts
Risk Considerations
Important factors to consider:
Signal Limitations
Potential delay in fast-moving markets
False signals during extreme volatility
Time frame dependency
Best Practices
Use in conjunction with other indicators
Apply proper position sizing
Focus on liquid instruments
Consider market context
Performance Characteristics
The indicator shows optimal performance under specific conditions:
Ideal Conditions
Daily timeframe analysis
Clear trending market phases
Liquid market environments
Normal volatility conditions
Challenging Conditions
Choppy market conditions
Extremely low volatility
Highly volatile markets
Illiquid instruments
Implementation Recommendations
For optimal use, consider:
Market Selection
Best suited for major markets
Requires adequate liquidity
Works well with trending instruments
Timeframe Selection
Primary: Daily charts
Secondary: 4-hour charts
Caution on lower timeframes
Risk Management
Use appropriate position sizing
Set clear stop-loss levels
Consider market volatility
Monitor overall exposure
This indicator serves as a comprehensive tool for market analysis, combining traditional technical analysis with modern filtering techniques. Its effectiveness depends on proper implementation and understanding of market conditions.
Trend with ADX/EMA - Buy & Sell SignalsThis script is designed to help traders make buy and sell decisions based on trend analysis using two key methods: ADX (Average Directional Index) and EMA (Exponential Moving Averages). Here's a breakdown in simple terms:
What Does It Do?
Identifies the Trend's Strength and Direction:
Uses the ADX indicator to determine how strong the trend is.
Compares two lines (DI+ and DI−) to identify whether the trend is moving up or down.
Generates Buy and Sell Signals:
Uses two EMAs (a fast one and a slow one) to check when the price crosses key levels, signaling a possible buy or sell opportunity.
Plots visual indicators (arrows and labels) for easy interpretation.
Color-Codes the Chart:
Highlights the background in green when the trend is bullish (uptrend).
Highlights the background in red when the trend is bearish (downtrend).
Alerts the User:
Creates alerts when specific conditions for buying or selling are met.
Key Components:
1. ADX (Trend Strength & Direction)
What is ADX?
ADX measures how strong the trend is (not the direction). Higher ADX means a stronger trend.
It also calculates two lines:
DI+: Measures upward movement strength.
DI−: Measures downward movement strength.
How It Works in the Script:
If DI+ is greater than DI−, it’s a bullish trend (upward).
If DI− is greater than DI+, it’s a bearish trend (downward).
The background turns green for an uptrend and red for a downtrend.
2. EMA (Buy and Sell Decisions)
What is EMA?
EMA is a moving average that gives more weight to recent prices. It’s used to smooth out price fluctuations.
How It Works in the Script:
The script calculates two EMAs:
Fast EMA (short-term average): Reacts quickly to price changes.
Slow EMA (long-term average): Reacts slower and shows overall trends.
When the Fast EMA crosses above the Slow EMA, it’s a signal to Buy.
When the Fast EMA crosses below the Slow EMA, it’s a signal to Sell.
These signals are marked on the chart as "Buy" and "Sell" labels.
3. Buy and Sell Alerts
The script sets up alerts for the user:
Buy Alert: When a crossover indicates a bullish signal.
Sell Alert: When a crossunder indicates a bearish signal.
Visual Elements on the Chart:
Background Colors:
Green: When the DI+ line indicates an uptrend.
Red: When the DI− line indicates a downtrend.
EMA Lines:
Green Line: Fast EMA.
Red Line: Slow EMA.
Buy/Sell Labels:
"Buy" label: Shown when the Fast EMA crosses above the Slow EMA.
"Sell" label: Shown when the Fast EMA crosses below the Slow EMA.
Why Use This Script?
Trend Analysis: Helps you quickly identify the strength and direction of the market trend.
Buy/Sell Signals: Gives clear signals to enter or exit trades based on trend and EMA crossovers.
Custom Alerts: Ensures you never miss a trading opportunity by notifying you when conditions are met.
Visual Simplicity: Makes it easy to interpret trading signals with color-coded backgrounds and labeled arrows.
RSI + ADX + ATR 18-01-25Combining RSI (Relative Strength Index), ADX (Average Directional Index), and ATR (Average True Range) creates a synergistic approach to technical analysis. This powerful trio covers momentum, trend strength, and volatility, providing comprehensive insights into market conditions. Here's a deeper exploration of their combined results:
1. Momentum Assessment with RSI
Purpose: RSI measures the speed and magnitude of recent price changes to determine overbought or oversold levels.
Benefit in Combination:
When RSI indicates overbought (above 70) or oversold (below 30) levels, it signals a potential reversal or correction.
However, these signals can be false in strongly trending markets, which is why ADX is used alongside it.
2. Trend Strength Confirmation with ADX
Purpose: ADX confirms the presence and strength of a trend.
Benefit in Combination:
If RSI shows a potential reversal but ADX indicates a strong trend (above 25), the trend is likely to continue, and RSI signals may need to be approached with caution.
Conversely, if ADX is below 20 (weak trend), RSI signals are more likely to indicate genuine reversals, as the market lacks a strong directional push.
3. Volatility Analysis with ATR
Purpose: ATR evaluates the level of price volatility.
Benefit in Combination:
High ATR values indicate volatile conditions where prices can move significantly; this helps in setting wider stop-loss levels to avoid premature exits.
Low ATR values suggest quieter markets, where tighter stop-losses and profit targets are more suitable.
ADXcellenceThis advanced trading indicator, inspired by Dr. Charles B. Schaap's book "ADXcellence: Power Trend Strategies", leverages the principles of the Average Directional Index (ADX) to help traders identify and exploit trending conditions in the market.
The ADXcellence Indicator uses multiple levels of analysis to evaluate the strength and direction of trends.
In addition to the classic ADX+DMI input settings, these features are included:
ADX Slope Signal: This parameter, controls the sensitivity of the ADX slope, which will indicate when the trend strength is increasing or decreasing.
The indicator provides three trend levels: strong trend level, trending level, and low volatility level, which can be customized to suit various trading strategies.
The color gradients for the ADX, DI+, and DI- lines are designed to visually represent the trend strength from the low volatility level to the strong trend level. The indicator also uses a dynamic background color, highlighting the periods when the ADX is rising. The color will vary depending on the dominant DI.
The ADXcellence Indicator also offers a unique feature of dynamically adjusting the fill between DI+ and DI-, with the color and fill intensity changing based on the relative value of the two.
This indicator is a powerful tool for traders who use trend-following strategies and is best used in conjunction with other technical analysis tools to confirm signals and avoid potential false signals.
Remember, no indicator is perfect and every trading strategy should include risk management and proper due diligence.
Enjoy :)
DJ Soori Trading StrategyThe strategy combines three indicators: Exponential Moving Average (EMA), Weighted Moving Average (WMA), and Average Directional Index (ADX).
The EMA and WMA are used to track the average price over different time periods.
The ADX measures the strength of a trend in the market.
The strategy generates buy signals when the EMA is higher than the WMA and the ADX is above a certain threshold. It suggests a potential uptrend.
It generates sell signals when the EMA is lower than the WMA and the ADX is above the threshold. It suggests a potential downtrend.
The strategy also considers whether the ADX is rising or falling to indicate the strength of the trend.
The EMA, WMA, and ADX values are plotted on the chart.
Buy and sell signals are shown as labels on the chart, indicating "Buy (Strong)" or "Buy (Weak)" for buy signals, and "Sell (Strong)" or "Sell (Weak)" for sell signals.
Combined Strategy Trading Bot (RSI ADX 20SMA)Trading Bot V1, This code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The code is written in Pine Script™, which is a programming language used in the TradingView platform. By BraelonWhitfield.Eth
The strategy uses the Average Directional Movement Index (ADX) and the Pine SuperTrend indicator to identify trends and price movements in the market. The SuperTrend indicator is a popular technical analysis tool that helps to identify the direction of the current trend and provides entry and exit points for trades.
The strategy also uses the Relative Strength Index (RSI) to identify overbought and oversold conditions in the market. The RSI is a momentum indicator that measures the speed and change of price movements in the market.
The first part of the code defines the inputs for the ADX and DI Length, which are used to calculate the ADX and DI values. The dirmov() function is used to calculate the positive and negative directional indicators (plusDM and minusDM) based on the high and low prices. The truerange variable is then calculated using the True Range (TR) formula. Finally, the plus and minus variables are calculated using the smoothed moving average of the plusDM and minusDM values.
The adx() function is then used to calculate the ADX values based on the plus and minus variables. The Pine SuperTrend indicator is defined using the pine_supertrend() function. This function uses the high-low average (hl2) and the Average True Range (ATR) to calculate the upper and lower bands for the indicator. The direction of the current trend is then determined based on whether the current price is above or below the upper or lower bands.
The RSI values are then calculated using the ta.rsi() function, with the inputs for the close price and the RSI period. The overbought and oversold conditions are defined using the OB and OS inputs, which specify the threshold values for the RSI. The upTrend and downTrend variables are defined based on the direction of the Pine SuperTrend indicator.
The next part of the code defines the 20-period Simple Moving Average (SMA) using the ta.sma() function. The os and ob variables are then calculated based on the RSI values and the OB and OS inputs. The strategy.entry() function is used to define the buy and sell orders based on the upTrend and downTrend variables, as well as the Pine SuperTrend indicator, the 20-period SMA, and the os variable.
The final part of the code defines the Channel Breakout Strategy using the ta.highest() and ta.lowest() functions to calculate the upper and lower bounds of the channel. The strategy.entry() function is then used to define the buy and sell orders based on whether the current price is above or below the upper or lower bounds.
In summary, this code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The strategy is designed to identify trends and price movements in the market, as well as overbought and oversold conditions, to provide entry and exit points for trades. The strategy uses the Pine SuperTrend indicator, the ADX and DI indicators, the RSI, and the 20-period SMA, as well as the Channel Breakout Strategy to make informed trading decisions.
COG SSMACD COL combo with ADX Filter [orion35]This indicator consists of a combination of indicators produced by the most valuable developers in the market.
These are: Center of Gravity (COG) and Super Smoothed MACD (SSMACD) shared by @KivancOzbilgic and Center of Linearity (COL) shared by @alexgrover
I produced this indicator by writing new conditions that compare the signals given by these indicators with each other. I re-coded the change in the thickness of the cloud from the COL indicator as the middle horizontal line with varying color intensity and type. I have provided options for switching between these three indicators when desired.
Note: The strongest signals in the indicator are the blue colored triangles. Moderately strong ones are yellow signals. White colored signals are considered as the weakest signals.
Some minor fixes:
Some confusing words were thrown in the alarms section,
Added new alarm codes for any Triple or Double signals.
Major changes have been made with this update.
It is very important to know the direction and strength of the trend in financial markets. Therefore, ADX (Average Directional movement index) was developed by J. Welles Wilder in 1978 as an indicator of the trend strength in the prices of a financial instrument.
Especially in sideways markets, most indicators produce many false signals. However, these signals can be filtered with the ADX indicator. The price is considered sideways when the ADX is less than 20 as the threshold value.
With this update,
ADX filter can be activated when desired, and signals can be filtered flexibly according to the "threshold" value determined by the user. When the ADX filter is active, it will also reflect on the alarm conditions. Therefore, if an alarm is to be set according to the ADX filter, the filter must be activated first.
The colors of the lines and signals have been made changeable.
The visual level and thickness of the COL line has been made adjustable.
With this update, signals can be filtered according to the MavilimW indicator developed by @KivancOzbilgic
Filter Methods:
Normal: If the price is below the BlueW line, "bull" signals are filtered out, and above "bear" signals are filtered out.
Reverse : Applies the opposite of the normal method.
Fixed some visual bugs in switching between indicators.
Measure Volume, Momentum, Trend, VolatilityThis script displays the following indicators in one pane to quickly determine several important factors regarding price action. It allows the user to quickly see all of most important factors surrounding price action in one pane with one quick glance. This should be incredibly helpful and allow things like double divergence and trend confirmation to be spotted much more quickly. I personally use the data in this indicator to replace four separate indicators and it has brought my win rate and profit factor significantly higher. I hadn't seen any place where all of the best J. Welles Wilder indicators such as RSI, Parabolic SAR, and DMI/ADX were brought into one easy to use interface. This is my attempt at fixing that gap. For a much deeper understanding of how to use these indicators, I recommend reading New Concepts in Technical Trading Systems written by J. Welles Wilder.
Momentum via RSI (Relative Strength Index)
Volume via MFI (Money Flow Index)
Volatility via DMI/ADX (Direction Movement Index/Average Directional Index)
Trend via Parabolic SAR (Parabolic Stop and Reverse)
It is worth noting that DMI/ADX and Parabolic SAR can both help determine trend strength and volatility.
The Volatility mechanism is measured by DMI and ADX and displayed at the top of the pane using circles. The top, tiny circles reflect if show if positive DI or negative DI has a higher value. The small circles directly underneath indicate whether or not the ADX is above 20 (configurable, some may choose to increase this to 25 or even 30).
The Momentum mechanism is shown as standard RSI with the default being a white line and default period of 14, which is all configurable.
The Volume mechanism is shown as standard MFI with the default being a fuchsia line and default period of 14, which is also configurable.
The momentum and volume oscillators should be used in conjunction to help spot whether the trend is strong or weak using divergences and the middle, overbought, and oversold levels. These levels are also configurable.
The Trend mechanism is measured by Parabolic SAR and displayed at the bottom of the pane using diamonds. The default is red diamonds when in a bear trend, green when in an uptrend which is configurable. When price is above the Parabolic SAR, it is considered to be an uptrend. When price is below the Parabolic SAR, it is considered to be a downtrend. The way price is measured is also configurable (i.e. open, close, ohlc4, hlc3, etc.). When price crossed above or below the Parabolic SAR, the diamonds will change colors.
All the indicators displayed should be used in a well rounded strategy. For instance, I only trade when ADX is above 20 and rarely trade against the trend shown via PSAR. When trend shifts and divergences helped indicate a trend shift would occur using the RSI and MFI, it can be a great spot to take an entry. RSI/MFI can also confirm the trend is strong when they are not showing divergences and inline with price action. All of this data should be used in conjunction with good fundamental data and technical levels. Divergences with RSI and MFI on double tops or bottoms can also be incredibly powerful. There is no right or wrong way to use all the data displayed in this indicator, however using all four pillars of trading (Momentum, Volume, Trend, Volatility) will help ensure only the best trades are taken.
MrBS:Directional Movement Index [Trend Friend Strategy]This goes with my MrBS:DMI+ indicator. I originally combined them into one, but then you cannot set alerts based on what the ADX and DMI is doing, only strategy alerts, so separate ones have more flexibility and uses.
Indicator Version is found under "MrBS:Directional Movement Index " ()
//// THE IDEA
The majority of profits made in the market come from trending markets. Of course there are strategies that would say otherwise but for the majority of people, THE TREND IS YOUR FRIEND (until the end). The idea is to follow the trend, entering once it has established its self and exiting positions when the trend weakens. This strategy gives a rough idea of the returns produced from following purely the ADX signals. At first Heikin Ashi values were used for the calculation but the results show it's not that effective. The functionality to switch between calculation types has been left in, so we can uses HA candle data to generate signals from while looking at an OHLC chart, if we want to experiment. Due to the way strategies work, we are unable to get reliable results when running the strategy on the HA chart even if we are calculating the signals from the real OHLC values. It is best to always run strategies on standard charts.
When using this strategy, I look for confirmation of the signal based on stochastic (14:3:6) direction, reversal level of stochastic, and divergance, to add confidence and adjust position size accordingly. I am going to try and code some version of that in future updates, if anyone can help or has suggestions please drop me a message.
//// INDICATOR DETAILS
- The default settings are for optimized Daily charts, for 4 hour I would suggest a smoothing of 2.
- The default values used for calculation are the Real OHLC, we can change this to Heikin Ashi in the menu.
- The strategy enters a position when ADX crosses the threshold level, and closes the position when ADX starts to fall.
- There is a signal filter in the form of a 377 period Hull Moving Average, which the price must be above or bellow for long and short positions respectively.
- The strategy closes the position when a cross-under of the ADX and its 4 period EMA. This is an attempt to stay into positions longer as sometimes the ADX will fall for 1 bar and then keep rising, while the overall trend is strong. The downside to this is that we exit trades later and this affects our max drawdown.
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI
A comprehensive trend-following system with customizable filters for precise trade execution.
CORE COMPONENTS:
- SuperTrend with visual fill (trend detection)
- ADX + Directional Indicators (trend strength confirmation)
- Volume filter (optional)
- EMAs 7/21/50 (optional)
- Daily VWAP (optional)
- Previous Day High/Low levels (support/resistance)
KEY FEATURES:
✓ One entry per trend - avoids overtrading
✓ Entry: ADX crosses above threshold with SuperTrend alignment
✓ Exit: SuperTrend direction change
✓ Real-time status dashboard showing all filter conditions
✓ Clear BUY/SELL signals with EXIT markers
✓ All filters can be toggled ON/OFF for testing
✓ Customizable parameters for each indicator
DASHBOARD DISPLAY:
- Live ADX value (green >23 / red <23)
- DI+/DI- values with color coding
- Volume metrics
- Position status (IN/OUT)
- Signal status (BUY/SELL/WAIT)
IDEAL FOR:
Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation.
Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure.
Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model.
Originality and usefulness
Adaptive Trend Mapper (ATM) does not replicate any one indicator.
It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators:
They represent directional pressure on a 0–100 scale , not momentum.
They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine.
They can be optionally step-compressed , making the movement easier to read on fast or small charts.
The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart.
All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place.
How the Indicator Works
1. Bull & Bear Pressure Indices:
These indices measure directional imbalance:
Bull Index = ADX strength weighted against inverse-RSI
Bear Index = ADX strength weighted against normal RSI
This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate.
You can optionally smooth these using:
SMA / EMA / WMA / RMA via the “Smoothing Settings” panel.
2. Squeeze & Compression Detection:
A squeeze is detected when:
ADX stays below a user-defined threshold
Bull–Bear Index difference shrinks
Average difference is falling (convergence)
This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels .
3. Adaptive Trend Curve (SuperSmoother Engine)
The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA.
The slope color flips between bullish and bearish and is displayed using:
A thin SuperSmoother curve
A thicker band for visual context
4. EMA-50 Trend Context:
An optional EMA-50 helps identify broad directional bias .
5. Step-Based Scaling
You can quantize the Bull/Bear indices using custom step intervals.
This makes the indicator easier to read on noisy intraday charts.
How to Use the Indicator
1. Trend Analysis
A rising Bull Index shows strengthening upward pressure
A rising Bear Index shows strengthening downward pressure
Wide divergence between the indices signals a strong trend
2. Compression / Squeeze Analysis
Yellow background = volatility compression + pressure convergence
Breakouts from this zone often precede directional expansion
3. Trendline Reading
SuperSmoother line color flip = micro trend shift
EMA-50 slope gives macro-trend direction
Perfect for combining trend and momentum maps on the same chart
4. Visual Interpretation
Cyan/teal → strong bullish pressure
Purple/red/orange → various levels of bearish control
Neutral/teal background → weak ADX
Yellow background → squeeze zone
Open-Source Notes
This script uses:
TradingView built-in RSI, ADX/DMI, and smoothing functions
A SuperSmoother implementation based on known DSP filter coefficients
All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO .
The script is published open-source to comply with TradingView’s reuse policy.
Disclaimer
This tool is for educational and analytical purposes only.
It does not generate buy or sell signals.
Always use proper risk management.
Happy Trading (ARJO)
EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy
## 📊 Overview
**Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols.
The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions.
## 🎯 Core Algorithm
### Triple EMA System
The strategy employs a three-layer EMA system to identify trend direction and strength:
- **Fast EMA (12)**: Quick response to price changes
- **Slow EMA (26)**: Confirmation of trend direction
- **Trend EMA (100)**: Overall market bias filter
Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend.
### Multi-Signal Confirmation (8 Signal Types)
The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position:
1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal)
2. **MACD Cross** - MACD line crossing signal line (momentum confirmation)
3. **RSI Reversal** - RSI bouncing from oversold/overbought zones
4. **Price Action** - Strong bullish/bearish candles (>60% of range)
5. **Volume Spike** - Above-average volume confirmation
6. **Breakout** - Price breaking 20-period high/low with volume
7. **Pullback to EMA** - Trend continuation after healthy retracement
8. **Bollinger Bounce** - Price bouncing from BB bands
This multi-signal approach significantly reduces false signals and improves win rate.
## 💰 Risk Management
### Position Sizing
- Default: 20-25% of equity per trade
- Adjustable based on risk tolerance
- Smaller positions recommended for leveraged trading
### Stop Loss & Take Profit
- **Stop Loss**: 2.0% (tight control of risk)
- **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio)
- Both levels are fixed at entry to avoid emotional decisions
### Trailing Stop System
- Activates after 1.8% profit
- Trails at 1.3% below current price
- Locks in profits during extended trends
- Automatically adjusts as price moves in your favor
### Maximum Hold Time
- 36-48 hours maximum (configurable)
- Designed to minimize funding rate costs on futures
- Forces position closure to avoid excessive exposure
- Helps maintain capital velocity
## 📈 Key Features
### Trend Filters
- **ADX Filter**: Ensures sufficient trend strength (threshold: 20)
- **EMA Alignment**: All three EMAs must confirm trend direction
- **RSI Boundaries**: Avoids extreme overbought/oversold entries
### Volume Analysis
- Volume must exceed 20-period moving average
- Configurable multiplier (default: 1.0x)
- Helps identify institutional participation
### Automatic Exit Conditions
1. Take Profit target reached
2. Stop Loss triggered
3. Trailing stop activated
4. Trend reversal (EMA cross in opposite direction)
5. Maximum hold time exceeded
## 🎮 Recommended Settings
### For Spot Trading (Conservative)
```
Position Size: 15-20%
Stop Loss: 2.5%
Take Profit: 6.0%
Max Hold: 72 hours
Leverage: 1x
```
### For Futures 3-5x Leverage (Balanced)
```
Position Size: 12-15%
Stop Loss: 2.0%
Take Profit: 5.5%
Max Hold: 36 hours
Trailing: Active
```
### For Aggressive Trading 5-10x (High Risk)
```
Position Size: 8-12%
Stop Loss: 1.5%
Take Profit: 4.5%
Max Hold: 24 hours
ADX Filter: Disabled
```
## 📊 Performance Metrics
### Backtested Results (BTC/USDT 1H, 2 years)
- **Total Return**: ~19% (spot) / ~75% (5x leverage)*
- **Total Trades**: 240-300
- **Win Rate**: 49-52%
- **Profit Factor**: 1.25-1.50
- **Max Drawdown**: ~18-22%
- **Average Trade**: 0.5-3 days
*Leverage results exclude funding rates and real-world slippage
### Optimal Timeframes
- **1 Hour**: Best for active trading (recommended)
- **4 Hour**: More stable, fewer signals
- **15 Min**: High frequency (requires monitoring)
### Best Performing Assets
- BTC/USDT (most tested)
- ETH/USDT
- Major altcoins with good liquidity
- Not recommended for low-cap or illiquid pairs
## ⚙️ How to Use
1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart
2. **Adjust Settings**: Configure risk parameters based on your preference
3. **Review Signals**: Green = Long, Red = Short, labels show signal count
4. **Monitor Performance**: Check strategy tester for detailed statistics
5. **Optimize**: Use strategy optimization to find best parameters for your market
## 🎨 Visual Indicators
The strategy provides clear visual feedback:
- **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend)
- **BUY/SELL Labels**: Show entry points with signal count
- **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades
- **Background Color**: Light green (long), light red (short) when in position
- **Info Panel**: Shows current trend, RSI, ADX, and volume status
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational purposes only
- Past performance does not guarantee future results
- Cryptocurrency trading involves substantial risk
- Only trade with capital you can afford to lose
- Always use proper position sizing and risk management
### Limitations
- Performs poorly in sideways/choppy markets
- Requires sufficient liquidity for best execution
- Backtests do not include:
- Real-world slippage (especially during volatility)
- Funding rates (for perpetual futures)
- Exchange downtime or connection issues
- Emotional trading decisions
### For Futures Trading
If using this strategy on futures with leverage:
- Reduce position size proportionally to leverage
- Account for funding rates (~0.01% per 8h)
- Set max hold time to minimize funding costs
- Use lower leverage (3-5x max recommended)
- Monitor liquidation price carefully
## 🔧 Customization
All parameters are fully customizable:
- EMA periods (fast/slow/trend)
- MACD settings (12/26/9)
- RSI levels (30/70)
- Stop Loss / Take Profit percentages
- Trailing stop activation and offset
- Volume multiplier
- ADX threshold
- Maximum hold time
## 📚 Strategy Logic
The strategy follows this decision tree:
```
1. Check Trend Direction (EMA alignment)
↓
2. Scan for Entry Signals (8 types)
↓
3. Confirm with Filters (ADX, Volume, RSI)
↓
4. Enter Position with Fixed SL/TP
↓
5. Monitor for Exit Conditions:
- TP Hit → Close with profit
- SL Hit → Close with loss
- Trailing Active → Follow price
- Trend Reversal → Close position
- Max Time → Force close
```
## 🎓 Best Practices
1. **Start Conservative**: Use smaller position sizes initially
2. **Track Performance**: Monitor actual vs backtested results
3. **Optimize Regularly**: Market conditions change, adapt parameters
4. **Combine with Analysis**: Don't rely solely on automated signals
5. **Manage Emotions**: Stick to the system, avoid manual overrides
6. **Paper Trade First**: Test on demo before risking real capital
## 📞 Support & Updates
This strategy is actively maintained and updated based on:
- Market condition changes
- User feedback and suggestions
- Performance optimization
- Bug fixes and improvements
## 🏆 Conclusion
Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends.
The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach.
**Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions.
---
*Version: 1.0*
*Last Updated: November 2025*
*Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)*
*Recommended Capital: $5,000+ for optimal position sizing*
RSI + Psy + ADXRSI + Psychological Line + ADX (with RCI-replacement logic)
This custom TradingView indicator combines three major technical analysis tools—RSI, Psychological Line (Psy), and ADX—to help traders identify trend strength, market momentum, and overbought/oversold conditions with improved clarity.
1. Multi-Period RSI
The indicator calculates three RSI values:
Short-term RSI (9)
Mid-term RSI (26)
Long-term RSI (52)
These help users observe short-, mid-, and long-term momentum simultaneously.
Threshold lines are drawn at 70, 50, and 30 for standard RSI overbought/oversold analysis.
2. Psychological Line (Psy) with Dynamic Column Display
The Psy indicator counts how many closes within the selected period (default: 12) were higher than the previous close.
Values above 75 indicate overbought markets.
Values below 25 indicate oversold markets.
When Psy crosses these thresholds, it is displayed as a column chart centered at 50, visually expanding upward (overbought) or downward (oversold).
3. ADX Trend Strength with Color Coding
ADX is calculated from DI+ and DI− values (using true range and directional movement).
The ADX line changes color based on trend strength:
Blue: Weak trend (below 20)
Yellow: Moderate trend (20–30)
Red: Strong trend (above 30)
This helps traders easily recognize when the market transitions from low-volatility to strong-trend conditions.
Turtle Strategy - Triple EMA Trend with ADX and ATRDescription
The Triple EMA Trend strategy is a directional momentum system built on the alignment of three exponential moving averages and a strong ADX confirmation filter. It is designed to capture established trends while maintaining disciplined risk management through ATR-based stops and targets.
Core Logic
The system activates only under high-trend conditions, defined by the Average Directional Index (ADX) exceeding a configurable threshold (default: 43).
A bullish setup occurs when the short-term EMA is above the mid-term EMA, which in turn is above the long-term EMA, and price trades above the fastest EMA.
A bearish setup is the mirror condition.
Execution Rules
Entry:
• Long when ADX confirms trend strength and EMA alignment is bullish.
• Short when ADX confirms trend strength and EMA alignment is bearish.
Exit:
• Stop Loss: 1.8 × ATR below (for longs) or above (for shorts) the entry price.
• Take Profit: 3.3 × ATR in the direction of the trade.
Both parameters are configurable.
Additional Features
• Start/end date inputs for controlled backtesting.
• Selective activation of long or short trades.
• Built-in commission and position sizing (percent of equity).
• Full visual representation of EMAs, ADX, stop-loss, and target levels.
This strategy emphasizes clean trend participation, strict entry qualification, and consistent reward-to-risk structure. Ideal for swing or medium-term testing across trending assets.
Capiba Directional Momentum Oscillator (ADX-based)
🇬🇧 English
Summary
The Capiba ADX is a momentum oscillator that transforms the classic ADX (Average Directional Index) into a much more intuitive visual tool. Instead of analyzing three separate lines (ADX, DI+, DI-), this indicator consolidates the strength and direction of the trend into a single histogram that oscillates around the zero line.
The result is a clear and immediate reading of market sentiment, allowing traders to quickly identify who is in control—buyers or sellers—and with what intensity.
How to Interpret and Use the Indicator
The operation of the Capiba ADX is straightforward:
Green Histogram (Above Zero): Indicates that buying pressure (DI+) is in control. The height of the bar represents the magnitude of the bullish momentum. Taller green bars suggest a stronger uptrend.
Red Histogram (Below Zero): Indicates that selling pressure (DI-) is in control. The "depth" of the bar represents the magnitude of the bearish momentum. Lower (more negative) red bars suggest a stronger downtrend.
Zero Line (White): This is the equilibrium point. Crossovers through the zero line signal a potential shift in trend control.
Crossover Above: Buyers are taking control.
Crossover Below: Sellers are taking control.
Reference Levels (Momentum Strength)
The indicator plots three fixed reference levels to help gauge the intensity of the move:
0 Line: Equilibrium.
100 Line: Signals significant directional momentum. When the histogram surpasses this level, the trend (whether bullish or bearish) is gaining considerable strength.
200 Line: Signals very strong directional momentum, or even potential exhaustion conditions. Moves that reach this level are powerful but may also precede a consolidation or reversal.
Usage Strategy
Trend Confirmation: Use the indicator to confirm the direction of your analysis. If you are looking for long positions, the Capiba ADX should ideally be green and, preferably, rising.
Strength Identification: Watch for the histogram to cross the 100 and 200 levels to validate the strength of a breakout or an established trend.
Entry/Exit Signals: A zero-line crossover can be used as a primary entry or exit signal, especially when confirmed by other technical analysis tools.
Acknowledgements
This indicator is the result of adapting knowledge and open-source codes shared by the vibrant TradingView community.
Trend Flow Oscillator (CMF + MFI) + ADX## Trend Flow Oscillator (TFO + ADX) Indicator Description
The Trend Flow Oscillator (TFO+ADX) combines two volume-based indicators, Money Flow Index (MFI) and Chaikin Money Flow (CMF), along with the Average Directional Index (ADX) into one comprehensive oscillator. This indicator provides traders with insights into momentum, volume flow, and trend strength, clearly indicating bullish or bearish market conditions.
### How the Indicator Works:
1. **Money Flow Index (MFI)**:
* Measures buying and selling pressure based on price and volume.
* Scaled from -1 to +1 (where positive values indicate buying pressure, negative values indicate selling pressure).
2. **Chaikin Money Flow (CMF)**:
* Evaluates money flow volume over a set period, reflecting institutional buying or selling.
* Also scaled from -1 to +1 (positive values suggest bullish accumulation, negative values bearish distribution).
3. **Average Directional Index (ADX)**:
* Measures trend strength, indicating whether a market is trending or ranging.
* Scaled from -1 to +1, with values above 0 suggesting strong trends, and values near or below 0 indicating weak trends or sideways markets.
* Specifically, an ADX value of 0 means neutral trend strength; positive values indicate a strong trend.
### Indicator Levels and Interpretation:
* **Zero Line (0)**: Indicates neutral conditions. When the oscillator crosses above zero, it signals increasing bullish momentum; crossing below zero indicates bearish momentum.
* **Extreme Zones (+/- 0.75)**:
* Oscillator values above +0.75 are considered overbought or highly bullish.
* Oscillator values below -0.75 are considered oversold or highly bearish.
* The indicator features subtle background shading to visually highlight these extreme momentum areas for quick identification.
* Shading when values above or below the +/-1.0 level.
* **Color Coding**:
* Bright blue indicates strengthening bullish momentum.
* Dark blue signals weakening bullish momentum.
* Bright red indicates strengthening bearish momentum.
* Dark maroon signals weakening bearish momentum.
DMI + ADX + Key Level NACHOMIXCRYPTOThe DMI + ADX + Key Level NACHOMIXCRYPTO indicator is a technical analysis tool that combines the Directional Movement Index (DMI) and the Average Directional Index (ADX) to assess trend strength and direction. It also includes customizable key levels for better visualization.
Components:
ADX (Average Directional Index):
Measures the strength of a trend, regardless of its direction.
Values below 25 indicate a weak trend or range-bound market.
Values between 25-50 suggest a strong trend.
Values between 50-75 indicate a very strong trend.
Values above 75 represent an extremely strong trend.
+DI (Positive Directional Indicator) and -DI (Negative Directional Indicator):
+DI indicates bullish strength, shown in green.
-DI indicates bearish strength, shown in red.
The comparison between these two lines helps determine the market direction.
Features:
Trend Detection:
When +DI is above -DI and ADX is above the key level, it signals a bullish trend.
When -DI is above +DI and ADX is above the key level, it signals a bearish trend.
Key Level Line:
A customizable horizontal line that marks the threshold for trend strength.
Trend Background Color:
Green for strong uptrends and red for strong downtrends.
Signal Arrows:
A green upward triangle is plotted when a new bullish trend starts.
A red downward triangle is plotted when a new bearish trend starts.
Trend Strength Labels:
The indicator displays the current market strength classification and whether the trend is bullish, bearish, or neutral.
Strength Analysis Table:
Provides insights on whether the market has bullish, bearish, mixed strength, or no strength at all.
This indicator is particularly useful for traders looking to identify strong trends and catch early trend reversals.
VHF Adaptive ADXm [Loxx]VHF Adaptive ADXm is a variation of the ADX DI indicator with adaptive filtering using a vertical horizontal filter.
What is ADXm?
Unlike the traditional ADX indicator, where the ADX itself is plotted in absolute units and detection of the trend direction is hindered, this indicator clearly displays the positive and negative ADX half-waves (displayed as colored on the chart). And the DI+/- signals are displayed as their difference (gray).
The method of using this indicator is the same as the traditional one.
In addition, it displays the levels (dashed), above which the market is considered to be in a trend state. This level is usually set to approximately 20-25 percents--somewhat depends on the time frame it is used on.
What is VHF Adaptive Cycle?
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Included:
Bar coloring
Alerts
Signal types: zero-line crosses, level crosses, or signal crosses
