EXPONOVA by @thejamiulEXPONOVA is an advanced EMA-based indicator designed to provide a visually intuitive and actionable representation of market trends. It combines two EMAs (Exponential Moving Averages) with a custom gradient fill to help traders identify trend reversals, strength, and the potential duration of trends.
This indicator uses a gradient color fill between two EMAs—one short-term (20-period) and one longer-term (55-period). The gradient dynamically adjusts based on the proximity and relationship of the closing price to the EMAs, giving traders a unique visual insight into trend momentum and potential exhaustion points.
Key Features:
Dynamic Gradient Fill:
The fill color between the EMAs changes based on the bar's position relative to the longer-term EMA.
A fading gradient visually conveys the strength and duration of the trend. The closer the closing price is to crossing the EMA, the stronger the gradient, making trends easy to spot.
Precision EMA Calculations:
The indicator plots two EMAs (20 and 55) without cluttering the chart, ensuring traders have a clean and informative display.
Ease of Use:
Designed for both novice and advanced traders, this tool is effective in identifying trend reversals and entry/exit points.
Trend Reversal Detection:
Built-in logic identifies bars since the last EMA cross, dynamically adjusting the gradient to signal potential trend changes.
How It Works:
This indicator calculates two EMAs:
EMA 20 (Fast EMA): Tracks short-term price movements, providing early signals of potential trend changes.
EMA 55 (Slow EMA): Captures broader trends and smoothens noise for a clearer directional bias.
The area between the two EMAs is filled with a dynamic color gradient, which evolves based on how far the price has moved above or below EMA 55. The gradient acts as a visual cue to the strength and duration of the current trend:
Bright green shades indicate bullish momentum building over time.
Red tones highlight bearish momentum.
The fading effect in the gradient provides traders with an intuitive representation of trend strength, helping them gauge whether the trend is accelerating, weakening, or reversing.
Gradient-Filled Region: Unique visualization to simplify trend analysis without cluttering the chart.
Dynamic Trend Strength Indication: The gradient dynamically adjusts based on the price's proximity to EMA 55, giving traders insight into momentum changes.
Minimalist Design: The EMAs themselves are not displayed by default to maintain a clean chart while still benefiting from their analysis.
Customizable Lengths: Pre-configured with EMA lengths of 20 and 55, but easily modifiable for different trading styles or instruments.
How to Use This Indicator
Trend Detection: Look at the gradient fill for visual confirmation of trend direction and strength.
Trade Entries:
Enter long positions when the price crosses above EMA 55, with the gradient transitioning to green.
Enter short positions when the price crosses below EMA 55, with the gradient transitioning to red.
Trend Strength Monitoring:
A brighter gradient suggests a sustained and stronger trend.
A fading gradient may indicate weakening momentum and a potential reversal.
Important Notes
This indicator uses a unique method of color visualization to enhance decision-making but does not generate buy or sell signals directly.
Always combine this indicator with other tools or methods for comprehensive analysis.
Past performance is not indicative of future results; please practice risk management while trading.
How to Use:
Trend Following:
Use the gradient fill to identify the trend direction.
A consistently bright gradient indicates a strong trend, while fading colors suggest weakening momentum.
Reversal Signals:
Watch for gradient changes near the EMA crossover points.
These can signal potential trend reversals or consolidation phases.
Confirmation Tool:
Combine EXPONOVA with other indicators or candlestick patterns for enhanced confirmation of trade setups.
Trend Analysis
GOLDEN RSI by @thejamiulGOLDEN RSI thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals.
Source of this indicator : This indicator is based on @TradingView original RSI indicator with a little bit of customisation to enhance overbought and oversold identification.
Key Features
1. Customizable RSI Settings:
RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14).
Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation.
2. Gradient-Filled RSI Zones:
Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions.
Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions.
3. Support and Resistance Levels:
Upper Band: 80
Middle Bands: 60 (bullish) and 40 (bearish)
Lower Band: 20
These levels help identify overbought, oversold, and neutral zones.
4. Divergence Detection:
Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals.
Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals.
Visual Indicators:
Bullish divergence is marked with green labels and line plots.
Bearish divergence is marked with red labels and line plots.
5. Alert Functionality:
Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring.
6. Enhanced Chart Visualization:
RSI Plot: A smooth and visually appealing RSI curve.
Color Coding: Gradient and fills for better distinction of trading zones.
Pivot Labels: Clear identification of divergence points on the RSI plot.
Squeeze Momentum Scanner (LazyBear)Objective: Identify stocks exhibiting a squeeze condition, indicating potential breakouts.
Scanner Criteria:
Squeeze Condition: Bollinger Bands are within Keltner Channels.
Momentum Shift: Transition from negative to positive momentum bars (for bullish setups) or positive to negative (for bearish setups).
Red Histogram: Indicates a squeeze is on (potential breakout setup).
Green Histogram: Squeeze has released.
Momentum Line: Green for bullish momentum, red for bearish.
Cumulative Delta AnalyzerCumulative Delta Analyzer (CDA) is a simple script designed to track changes in buying and selling volume. It highlights imbalances that can indicate shifts in market sentiment, helping traders identify potential turning points or trends.
Dynamic Risk Levels with Buy/Sell TextIntroduction
Risk management and making the right decisions while trading can be quite complex. To help you overcome these challenges, we developed the Dynamic Risk Levels and Buy/Sell Text indicator. This indicator aims to simplify your decision-making processes by combining volatility analysis, dynamic risk levels and RSI (Relative Strength Index) signals. This tool, which clearly visualizes buy/sell levels and risk zones on the chart, offers an ideal solution for investors of all levels.
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Key Features
1. ATR Based Volatility Calculation
The indicator uses the Average True Range (ATR) method to measure market volatility. Combined with Fibonacci's golden ratio (1.618), ATR creates risk levels that dynamically adapt to market conditions.
2. Determining Buy and Sell Levels
The lowest closing price during a specified period is defined as the buy level, and the highest closing price is defined as the sell level.
3. Dynamic Long and Short Risk Levels
Long (buy) risk level: Buy level + (ATR * 1.618)
Short (sell) risk level: Sell level - (ATR * 1.618)
These levels are constantly updated according to the volatility of the market.
4. Additional Filtering with RSI
RSI (Relative Strength Index) filters out false signals by identifying overbought and oversold areas.
Buy Signal: RSI < 30
Sell Signal: RSI > 70
5. Visualization of Buy/Sell Signals
On the chart:
Buy signals are indicated with a green "Buy" label.
Sell signals are marked with a red "Sell" label.
These visualizations help you make quick and easy decisions.
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Levels Shown on the Chart
1. Dynamic Risk Levels
Long Risk Level (Green Line): Indicates the safe level for buying positions.
Short Risk Level (Red Line): Indicates the safe level for selling positions.
2. Buy and Sell Levels
Buy Level (Blue Line): Indicates the long-term low closing level.
Sell Level (Orange Line): Indicates the long-term high closing level.
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How to Use?
1. Long Trading Strategy:
A "Buy" signal is generated when the price goes below the long risk level and then goes above it again and RSI < 30.
2. Short Trading Strategy:
A "Sell" signal is generated when the price goes above the short risk level and then goes below it again and RSI > 70.
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Conclusion
This indicator supports volatility-based risk management by adapting to the dynamic structure of the market and also provides reliable buy/sell signals. The Dynamic Risk Levels and Buy/Sell Text indicator is an ideal tool for investors who want to create a simple and effective trading strategy.
Using this indicator on the TradingView platform, you can make more informed decisions and better manage your risks.
Remember: No indicator is 100% accurate; always analyze market conditions carefully and pay attention to risk management.
Predictive Ranges [LuxAlgo] with BTC/USDT.D AnalysisIn this article, we will take a detailed look at how to customize the LuxAlgo Predictive Ranges indicator used in TradingView, how to make it more useful, and how to integrate additional functions. This indicator is a powerful analysis tool used specifically to predict movements in the BTC/USDT pair and generate buy-sell signals.
1. What is LuxAlgo Predictive Ranges?
The Predictive Ranges indicator developed by LuxAlgo predicts potential buy and sell zones based on the averages and volatility of the price over a certain period of time. This shows how much the price can fluctuate within a certain range and which zones it can move towards. Ranges usually cover two main areas, the upper and lower limits, and provide information on how the price movement will shape between these limits.
2. Extra Features and Enhancements
The above Pine Script code builds on LuxAlgo’s core Predictive Ranges functionality and adds a few important enhancements:
2.1. Comparing BTC and USDT Dominance Ranges
While the original LuxAlgo indicator only works on a specific asset, this customized version also makes predictions on the BTC/USDT pair as well as the USDT market dominance (USDT.D). This way, it is possible to understand how BTC is positioned against the general market movements.
Checking if BTC is in the Upper and Lower Zones: Buy and sell signals are generated based on whether the price of BTC is in the upper or lower zones within certain ranges.
Checking if USDT.D is in the Upper and Lower Zones: Similarly, the market dominance of USDT is also analyzed using these ranges.
The comparison between these two assets allows for more reliable signals to be generated based on market conditions. For example, when the BTC price is in the lower range and USDT.D is in the upper range, this could signal a BTC buying opportunity.
2.2. Fibonacci Levels
Fibonacci levels are widely used to predict potential retracements or bounces in price action. In this indicator, various Fibonacci levels are calculated between the prR2 and prS2 levels. This provides additional guidance for traders on where the price could retrace or bounce.
Fibonacci Levels:
13% (Fib13)
23% (Fib23)
38% (Fib38)
61% (Fib61)
70% (Fib70)
79% (Fib79)
86% (Fib86)
100% (Fib100)
These Fibonacci levels are used to predict potential support and resistance levels in price action.
2.3. RSI and Volume Analysis
RSI (Relative Strength Index) is an oscillator widely used to determine whether the price is overbought or oversold. Another important feature of this indicator is that it can analyze the strength of price movements with the RSI Period and Volume Coefficient settings. Volume analysis in particular provides additional information on whether a movement is sustainable or not. If the volume exceeds the average volume, this usually indicates that the price movement is strong.
RSI values are also calculated in different time frames (15 minutes, 30 minutes, 1 hour, 4 hours, 1 day), helping traders understand short-term and long-term market forces. In addition, the upper and lower threshold values of the RSI are determined, allowing for more clear monitoring of overbought and oversold conditions.
2.4. Indicators and Alarm Conditions on the Chart
The following features have been added to the chart regarding RSI and trend strength:
Rising Strength: The RSI value and the general condition of the price create signals that the trend is rising.
Falling Strength: Similarly, when the RSI value is low and the price is moving down, signals indicating a bearish trend are generated.
Buy and sell signals are generated only when BTC and USDT.D are in opposite zones. This ensures more accurate and reliable signals.
3. Custom Customizations for Users
This indicator can be customized according to the different analysis needs of users:
Length and Factor: Length and Mult factors are used to adjust the sensitivity of the indicator. This is important for customizing the trading strategy.
Timeframe Options: Users can analyze BTC and USDT.D in different timeframes.
RSI and Volume Settings: RSI period, upper and lower thresholds, and volume coefficient can be set by the user.
4. Alarm Conditions
Users can set the following alarm conditions to receive an alarm when certain conditions occur:
Buy Alarm: Triggered when BTC is in the buy zone and USDT.D is in the sell zone.
Sell Alert: Triggered when BTC is in the sell zone and USDT.D is in the buy zone.
Trend Strength Alerts: Rising or falling strength alerts with RSI value and volume.
Conclusion
LuxAlgo's Predictive Ranges indicator is a great way to predict market movements
Moving Average Channel (MAC)The strategy uses two Simple Moving Averages (SMA): an upper MA based on the high price and a lower MA based on the low price. Key features include:
Entry Condition: Enter a long position after five consecutive bars close above the upper MA.
Exit Conditions:
Close the position if five consecutive bars close below the lower MA.
Close the position if the price drops below 25% of the highest price recorded since entry (stop-loss).
Key Features:
Dynamic Entry: Long position is triggered only after consistent strength in price (5 bars above the upper MA).
Dynamic Exit:
Tracks weakness (5 bars below the lower MA) for exit.
Implements a stop-loss based on 25% retracement from the highest price recorded post-entry.
Customizable Parameters: MA lengths and stop-loss percentage are adjustable to fit different trading styles and market conditions.
This script provides a simple yet effective trend-following strategy with built-in risk management.
Crypto Buy/Sell Strategy This script is designed to automatically identify buy and sell signals based on a combination of the MACD and RSI indicators.
How the Script Works:
MACD:
Calculates the difference between the fast (12) and slow (26) exponential moving averages (EMA).
Generates signals based on the crossover of the MACD line and the signal line.
RSI (Relative Strength Index):
Uses a standard period (14) to determine overbought (70) and oversold (30) levels.
A buy signal is generated when RSI falls below the oversold level.
A sell signal is generated when RSI rises above the overbought level.
Signal Criteria:
Buy Signal (BUY):
MACD line crosses above the signal line.
RSI is below the oversold level (30).
Sell Signal (SELL):
MACD line crosses below the signal line.
RSI is above the overbought level (70).
Usage:
This script helps traders quickly identify potential entry and exit points in the market.
Indicators and signals are visualized directly on the chart to facilitate analysis.
Additionally, current RSI and EMA values are displayed to support decision-making.
Suitable For:
Scalping and trend trading.
Instructions:
You can customize the MACD, RSI lengths, and overbought/oversold levels in the script settings.
Этот скрипт разработан для автоматического определения сигналов покупки и продажи на основе комбинации индикаторов MACD и RSI.
Как работает скрипт:
MACD:
Вычисляет разницу между быстрым (12) и медленным (26) экспоненциальными скользящими средними (EMA).
Генерирует сигналы на основании пересечения MACD линии и сигнальной линии.
RSI (Индекс относительной силы):
Использует стандартный период (14) для расчета уровня перекупленности (70) и перепроданности (30).
Сигнал на покупку генерируется, если RSI опускается ниже уровня перепроданности.
Сигнал на продажу генерируется, если RSI поднимается выше уровня перекупленности.
Критерии сигналов:
Сигнал покупки (BUY):
Пересечение MACD линии выше сигнальной линии.
RSI ниже уровня перепроданности (30).
Сигнал продажи (SELL):
Пересечение MACD линии ниже сигнальной линии.
RSI выше уровня перекупленности (70).
Использование:
Этот скрипт помогает трейдерам быстро определять потенциальные точки входа и выхода на рынке.
Индикаторы и сигналы визуализированы на графике, чтобы облегчить анализ.
Дополнительно отображаются текущие значения RSI и EMA для поддержки принятия решений.
Подходит для:
Скальпинга и трендовой торговли.
Инструкция:
Вы можете изменять параметры длины MACD, RSI и уровней перекупленности/перепроданности в настройках скрипта.
WMA y EMA in 1 indicatorThis Pine Script code defines a custom indicator for the TradingView platform that combines two widely used moving averages: the Weighted Moving Average (WMA) and the Exponential Moving Average (EMA). The indicator plots both WMA and EMA on the chart, allowing traders to visualize and analyze the trends in the market more effectively. Users can customize the periods and colors of both moving averages through the input settings, making the indicator flexible for various trading strategies. The WMA provides a weighted approach that emphasizes more recent data, while the EMA offers a smoothed curve that reacts faster to price changes.
Normalized Jurik Moving Average [QuantAlgo]Upgrade your investing and trading strategy with the Normalized Jurik Moving Average (JMA) , a sophisticated oscillator that combines adaptive smoothing with statistical normalization to deliver high-quality signals! Whether you're a swing trader looking for momentum shifts or a medium- to long-term investor focusing on trend validation, this indicator's statistical approach offers valuable analytical advantages that can enhance your trading and investing decisions!
🟢 Core Architecture
The foundation of this indicator lies in its unique dual-layer calculation system. The first layer implements the Jurik Moving Average, known for its superior noise reduction and responsiveness, while the second layer applies statistical normalization (Z-Score) to create standardized readings. This sophisticated approach helps identify significant price movements while filtering out market noise across various timeframes and instruments.
🟢 Technical Foundation
Three key components power this indicator are:
Jurik Moving Average (JMA): An advanced moving average calculation that provides superior smoothing with minimal lag
Statistical Normalization: Z-Score based scaling that creates consistent, comparable readings across different market conditions
Dynamic Zone Detection: Automatically identifies overbought and oversold conditions based on statistical deviations
🟢 Key Features & Signals
The Normalized JMA delivers market insights through:
Color-adaptive oscillator line that reflects momentum strength and direction
Statistically significant overbought/oversold zones for trade validation
Smart gradient fills between signal line and zero level for enhanced visualization
Clear long (L) and short (S) markers for validated momentum shifts
Intelligent bar coloring that highlights the current market state
Customizable alert system for both bullish and bearish setups
🟢 Practical Usage Tips
Here's how to maximize your use of the Normalized JMA:
1/ Setup:
Add the indicator to your favorites, then apply it to your chart ⭐️
Begin with the default smoothing period for balanced analysis
Use the default normalization period for optimal signal generation
Start with standard visualization settings
Customize colors to match your chart preferences
Enable both bar coloring and signal markers for complete visual feedback
2/ Reading Signals:
Watch for L/S markers - they indicate validated momentum shifts
Monitor oscillator line color changes for direction confirmation
Use the built-in alert system to stay informed of potential trend changes
🟢 Pro Tips
Adjust Smoothing Period based on your trading style:
→ Lower values (8-12) for more responsive signals
→ Higher values (20-30) for more stable trend identification
Fine-tune Normalization Period based on market conditions:
→ Shorter periods (20-25) for more dynamic markets
→ Longer periods (40-50) for more stable markets
Optimize your analysis by:
→ Using +2/-2 zones for primary trade signals
→ Using +3/-3 zones for extreme market conditions
→ Combining with volume analysis for trade confirmation
→ Using multiple timeframe analysis for strategic context
Combine with:
→ Volume indicators for trade validation
→ Price action for entry timing
→ Support/resistance levels for profit targets
→ Trend-following indicators for directional bias
Range Fractal Filter Buy and Sell 5min By BossFXTraderRange Filter with Buy and Sell
Fractal confirmation with Confluence
Risk Reward is 1:3 best result.
Confluence with another indicator will work.
Median MACD - MattesThe Median Based MACD is a new-generation indicator created from old statistical Concepts. It combines a Median Calculation with a MACD to create a smoother signal with less noise and increased robustness.
In this case, the original calculation source of the MACD is replaced with a Median which can be calculated over user set X time.
- Why its good:
This "Phoenix" of sorts brings old concepts together to create a strong, new indicator which can frontrun & see trends from miles up front.
- How it can be used:
While this indicator can be used to follow trends, it can also be used to detect where a trend has weakened and is unlikely to continue. Please keep in mind that its unlikely but the chance is never 0.
In my personal opinion, i think that this indicator should NOT be used as a standalone indicator but rather as a compliment to analysis.
Enjoy!
[blackcat] L3 Top and Bottom Divine JudgmentOVERVIEW
The "Top and Bottom Divine Judgment" indicator is designed to identify potential tops and bottoms in the market using a combination of EMAs, SMAs, and custom calculations based on high and low prices. It provides multiple lines and plots to help traders visualize different market conditions and potential turning points.
FEATURES
Customizable EMA and SMA periods for various calculations.
Identification of bullish and bearish trends using EMAs.
Detection of overbought and oversold conditions.
Multiple lines and histograms to indicate specific market conditions and potential reversals.
Visual alerts with colored lines and shapes.
HOW TO USE
Add the script to your TradingView chart.
Customize Settings:
Adjust the short_ema_period, long_ema_period, sma_period, high_period, low_period, and other period inputs in the "Inputs" section.
Bullish and Bearish EMAs:
bullish_ema (yellow) and bearish_ema (fuchsia) are plotted to assess the overall market trend.
When bullish_ema is above bearish_ema, it suggests an uptrend.
When bullish_ema is below bearish_ema, it suggests a downtrend.
High-Low Boundary Line:
A horizontal line at 50 (yellow) represents a midpoint in the normalized price range, helping to identify overbought or oversold conditions.
Danger and Caution, Sell Signal, etc.:
These lines indicate specific conditions where the market might be overextended or due for a reversal.
Histograms for CZS1 and CZS4:
These histograms (aqua and purple) represent changes in certain indicators, possibly related to momentum or volatility, helping traders gauge the strength of trends.
Support Line Cross:
A shape ("●") is plotted when the close price crosses above a calculated support line, which could be a buy signal.
Generate Trading Signals:
Bullish and Bearish Trends:
Use the crossover of bullish_ema and bearish_ema to identify potential trend changes.
Overbought/Oversold Conditions:
Use the High-Low Boundary Line to identify overbought or oversold levels.
Specific Market Conditions:
Use the lines for "Danger and Caution," "Sell Signal," "Weak Out Strong Stay," "Opportunity," "Low Suck," and "High Sell" to identify specific market conditions and potential reversals.
Support Line Cross:
Use the plotted shape to identify potential buy signals when the close price crosses above the support line.
Risk Management:
Use the indicator in conjunction with other tools and risk management strategies to confirm trading signals and manage positions effectively.
LIMITATIONS
The script is based on historical data and does not guarantee future performance.
It is recommended to use the script in conjunction with other analysis tools.
The effectiveness of the strategy may vary depending on the market conditions and asset being traded.
NOTES
The script is designed for educational purposes and should not be considered financial advice.
Users are encouraged to backtest the strategy on a demo account before applying it to live trades.
THANKS
Special thanks to the TradingView community for their support and feedback.
Trend Detection with AlertsPurpose of the Script
The script identifies trends on a chart (uptrend, downtrend, or sideways trend) and provides both visual cues and alerts when a trend changes. It uses two methods for trend detection:
Moving Averages (MA): It compares a short-term moving average (fast) with a long-term moving average (slow).
An uptrend occurs when the short-term MA is above the long-term MA.
A downtrend occurs when the short-term MA is below the long-term MA.
Price Action:
Higher highs (HH) indicate bullish momentum.
Lower lows (LL) indicate bearish momentum.
When these methods align, the script determines the trend and notifies the user of any trend changes.
Key Features
Moving Average Calculation:
A short-term moving average and a long-term moving average are calculated to determine the overall trend direction.
Trend Determination:
An uptrend is detected when the short-term MA is above the long-term MA and higher highs are present.
A downtrend is detected when the short-term MA is below the long-term MA and lower lows are present.
Otherwise, the trend is classified as sideways.
Alerts for Trend Changes:
Alerts are triggered when the trend changes from one state to another (e.g., sideways to uptrend).
Custom messages indicate the type of trend detected.
Background Colors:
The script changes the chart’s background color based on the current trend:
Green for uptrends.
Red for downtrends.
Gray for sideways trends.
Visualization of Moving Averages:
The moving averages are plotted on the chart for visual reference.
How It Works
Inputs for Flexibility:
The user can configure the lengths of the short-term and long-term moving averages.
A lookback period is used to determine higher highs or lower lows for additional confirmation.
Trend Logic:
The script checks the relationship between the moving averages to identify general trends.
It also evaluates price action to confirm trend strength (e.g., whether a higher high or lower low occurred).
Alert System:
When the detected trend changes (e.g., from sideways to uptrend), an alert is triggered. This ensures the user is notified of important market movements.
Dynamic Background Coloring:
The background color of the chart changes to reflect the current trend, making it easy to interpret the trend visually.
Use Cases
Trend Identification: Helps traders quickly identify market trends for decision-making.
Alerts for Trend Changes: Notifies traders when a new trend begins, ensuring they don’t miss key opportunities.
Visual Assistance: Makes it easier to interpret trends through color-coded backgrounds and moving average overlays.
Customization Options
Adjust Moving Average Lengths: Users can modify the short-term and long-term moving averages to suit their trading strategies.
Change Lookback Period: The sensitivity of higher highs and lower lows can be adjusted.
Personalized Alerts: Alerts can be customized for different trading scenarios.
Summary
This script provides an intuitive way to detect and visualize market trends while offering real-time alerts for trend changes. It’s an excellent tool for traders who want to stay informed about market conditions and make data-driven decisions.
Dynamic Support and Resistance Pivot Strategy The Dynamic Support and Resistance Pivot Strategy is a flexible and adaptive tool designed to identify short-term support and resistance levels using the concept of price pivots.
### Key Elements of the Strategy
1. Pivot points as support and resistance levels
Pivots are significant turning points on the price chart, often marking local highs and lows where the price has reversed direction. A pivot high occurs when the price forms a local peak, while a pivot low occurs when the price forms a local trough. When a new pivot high is formed, it creates a resistance level. Conversely, when a new pivot low is formed, it creates a support level.
The strategy continuously updates these levels as new pivots are detected, ensuring they remain relevant to the current market conditions. By identifying these price levels, the strategy dynamically adjusts to market conditions, allowing it to adapt to both trending and ranging markets, since it has a long target and can perform reversal operations.
2. Entry Criteria
- Buy (Long): A long position is triggered when the price is near the support level and then crosses it from below to above. This suggests that the price has found support and may start moving upwards.
- Sell (Short): A short position is triggered when the price is near the resistance level and then crosses it from above to below. This indicates that the price may be reversing and moving downward.
3. Support/Resistance distance (%)
- This parameter establishes a percentage range around the identified support and resistance level. For example, if the Support Resistance Distance is 0.4% (default), the closing price must be within a range of 0.4% above support or below the resistance to be considered "close" and trigger a trade.
4. Exit criteria
- Take profit = 27 %
- Stop loss = 10 %
- Reversal if a new entry point is identified in the opposite direction
5. No Repainting
- The Dynamic Support and Resistance Pivot Strategy is not subject to repainting.
6. Position Sizing by Equity and risk management
- This strategy has a default configuration to operate with 35% of the equity. The stop loss is set to 10% from the entry price. This way, the strategy is putting at risk about 10% of 35% of equity, that is, around 3.5% of equity for each trade. The percentage of equity and stop loss can be adjusted by the user according to their risk management.
7. Backtest results
- This strategy was subjected to backtest and operations in replay mode on **1000000MOGUSDT.P**, with the inclusion of transaction fees at 0.12% and slipagge of 5 ticks, and the past results have shown consistent profitability. Past results are no guarantee of future results. The strategy's backtest results may even be due to overfitting with past data.
8. Chart Visualization
- Support and resistance levels are displayed as green (support) and red (resistance) lines.
- Pivot prices are displayed as green (pivot low) and red (pivot high) labels.
In this image above, the Support/Resistance distance (%) parameter was set to 0.8.
9. Default Configuration
Chart Timeframe: 1h
Pivot Lengh: 2
Support/Resistance distance (%): 0.4*
Stop Loss: 10 %
Take Profit: 27 %
* This parameter can alternatively be set to 0.8.
10. Alternative Configuration
Chart Timeframe: 20 min
Pivot Lengh: 4
Support/Resistance distance (%): 0.1
Stop Loss: 10 %
Take Profit: 25 %
BYBIT:1000000MOGUSDT.P
Pivot Market StructureDescription and Features
This script is designed to enhance technical analysis by identifying key market structure levels. It uses a price action trail (based on the last highest/lowest price) and pivot points to track market trends, offering insights into potential reversal zones or trend continuation signals.
How the Script Works
High/Low Trail Logic: The script includes a trail mechanism that compares the current price with the last highest and lowest price, determining whether the price has breached these levels. This helps pinpoint key price action events and potential trend shifts. Unlike pivot points the price action trail is more responsive changes within the market structure.
Step Size and Length for High/Low Trail:
- The Step Length parameter defines how many bars are used to compare the current price against the last highest/lowest price, providing a measure of price extremes.
- The Length parameter determines the number of bars considered for calculating the highest/lowest price since the last price action event (either price surpassing a previous high or dipping below a previous low).
Pivot Point Calculation: Pivot Point Highs are calculated by the number of bars with lower highs on either side of a Pivot Point High calculation. Similarly, Pivot Point Lows are calculated by the number of bars with higher lows on either side of a Pivot Point Low calculation. The script draws a line from/to every calculated pivot point to highlight market structure extremes. It can optionally extend these pivot lines to the left for added context, providing historical reference for decision-making.
Summary
By combining both pivot analysis and price action trailing techniques, the script provides a comprehensive view of a pivot point based market structure.
FTD & DD AnalyzerFTD & DD Analyzer
A comprehensive tool for identifying Follow-Through Days (FTDs) and Distribution Days (DDs) to analyze market conditions and potential trend changes, based on William J. O'Neil's proven methodology.
About the Methodology
This indicator implements the market analysis techniques developed by William J. O'Neil, founder of Investor's Business Daily and author of "How to Make Money in Stocks." O'Neil's research, spanning market data back to the 1880s, has successfully identified major market turns throughout history. His FTD and DD concepts remain crucial tools for institutional investors and serious traders.
Overview
This indicator helps traders identify two critical market conditions:
Distribution Days (DDs) - days of institutional selling pressure
Follow-Through Days (FTDs) - confirmation of potential market bottoms and new uptrends
The combination of these signals provides valuable insight into market health and potential trend changes.
Key Features
Distribution Day detection with customizable criteria
Follow-Through Day identification based on classical methodology
Market bottom detection using EMA analysis
Dynamic warning system for accumulated Distribution Days
Visual alerts with customizable labels
Advanced debug mode for detailed analysis
Flexible display options for different trading styles
Distribution Days Analysis
What is a Distribution Day?
A Distribution Day occurs when:
The price closes lower by a specified percentage (default -0.2%)
Volume is higher than the previous day
DD Settings
Price Threshold: Minimum price decline to qualify (default -0.2%)
Lookback Period: Number of days to analyze for DD accumulation (default 25)
Warning Levels:
First warning at 4 DDs
Severe warning (SOS - Sign of Strength) at 6 DDs
Display Options:
Show/hide DD count
Show/hide DD labels
Choose between showing all DDs or only within lookback period
Follow-Through Day Detection
What is a Follow-Through Day?
Following O'Neil's research, a Follow-Through Day confirms a potential market bottom when:
Occurs between day 4 and 13 after a bottom formation (optimal: days 4-7)
Shows significant price gain (default 1.5%)
Accompanied by higher volume than the previous day
Key Statistics:
FTDs followed by distribution on days 1-2 fail 95% of the time
Distribution on day 3 leads to 70% failure rate
Later distribution (days 4-5) shows only 30% failure rate
FTD Settings
Minimum Price Gain: Required percentage gain (default 1.5%)
Valid Window: Day 4 to Day 13 after bottom
Quality Rating:
🚀 for FTDs occurring within 7 days (historically most reliable)
⭐ for later FTDs
Market Bottom Detection
The indicator uses a sophisticated approach to identify potential market bottoms:
EMA Analysis:
Tracks 8 and 21-period EMAs
Monitors EMA alignment and momentum
Customizable tolerance levels
Price Action:
Looks for lower lows within specified lookback period
Confirms bottom with subsequent price action
Reset mechanism to prevent false signals
Visual Indicators
Label Types
📉 Distribution Days
⬇️ Market Bottoms
🚀/⭐ Follow-Through Days
⚠️ DD Warning Levels
Customization Options
Label size: Tiny, Small, Normal, Large
Label style: Default, Arrows, Triangles
Background colors for different signals
Dynamic positioning using ATR multiplier
Practical Usage
1. Monitor DD Accumulation:
Watch for increasing number of Distribution Days
Pay attention to warning levels (4 and 6 DDs)
Consider reducing exposure when warnings appear
2. Bottom Recognition:
Look for potential bottom formations
Monitor EMA alignment and price action
Wait for confirmation signals
3. FTD Confirmation:
Track days after potential bottom
Watch for strong price/volume action in valid window
Note FTD quality rating for additional context
Alert System
Built-in alerts for:
New Distribution Days
Follow-Through Day signals
High DD accumulation warnings
Tips for Best Results
Use multiple timeframes for confirmation
Combine with other market health indicators
Pay attention to sector rotation and market leadership
Monitor volume patterns for confirmation
Consider market context and external factors
Technical Notes
The indicator uses advanced array handling for DD tracking
Dynamic calculations ensure accurate signal generation
Debug mode available for detailed analysis
Optimized for real-time and historical analysis
Additional Information
Compatible with all markets and timeframes
Best suited for daily charts
Regular updates and maintenance
Based on O'Neil's time-tested market analysis principles
Conclusion
The FTD & DD Analyzer provides a systematic approach to market analysis, combining O'Neil's proven methodologies with modern technical analysis. It helps traders identify potential market turns while monitoring institutional participation through volume analysis.
Remember that no indicator is perfect - always use in conjunction with other analysis tools and proper risk management.
HKM - Renko Emulator with EMA TrendThis is a Renko based Emulator to plot on any chart type which prints the box as printed on a Renko charts and is a Non-Repaint version. You can use either Traditional or ATR Method on current chart Timeframe. Option to plot an EMA Line is provided with Trend indication.
Rich's DikFat Money-Counter - ITM/OTM Options Price ViewerScript Overview
This Pine Script is a custom indicator designed for use on the TradingView platform. It analyzes options contracts, extracting key information from the options symbol, and then visualizes the relationship between the current price of the underlying asset and the option's strike price. Here’s a detailed explanation of the script and its components:
Key Features
Symbol Format Validation: The script checks whether the current symbol matches the expected format of an options symbol (like TSLA250131C400.0).
Extraction of Option Components: It extracts the base symbol (e.g., TSLA), expiration date (e.g., 250131), option type (C for call, P for put), and strike price (e.g., 400.0) from the options symbol.
Price Difference Calculation: It calculates the difference between the current price of the base asset (e.g., TSLA) and the option's strike price. Depending on whether the option is a call or put, the calculation is adjusted.
Visualization: The result is plotted on the chart, with color-coded filling to indicate whether the price difference is positive (ITM) or negative (OTM).
Detailed Explanation of Code Components
1. Indicator Definition
indicator("Rich's DikFat Money-Counter - In the Money/Out of the Money Options Price Viewer", shorttitle="Options Price Viewer", overlay=true)
This line defines the indicator's name, short title, and specifies that it should be plotted on the price chart (with overlay=true).
2. Symbol Detection
currentSymbol = syminfo.ticker
This retrieves the symbol of the current asset being analyzed. The script expects this symbol to be an options contract, for example, TSLA250131C400.0.
3. Symbol Format Validation
isOptionSymbol = str.length(currentSymbol) >= 9 and str.match(currentSymbol, "^ + {6} +(\. +)?$") != ""
This checks whether the current symbol matches the expected format for an option:
The symbol must have at least 9 characters.
It must follow a specific pattern: a base symbol (letters), a 6-digit expiration date, an option type (C for Call or P for Put), and a strike price that could include decimals.
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4. Extracting Option Components
If the symbol is a valid option symbol, the following code extracts the components:
baseSymbol := str.match(currentSymbol, "^ +")
expirationDate := str.substring(currentSymbol, str.length(baseSymbol), str.length(baseSymbol) + 6)
optionType := str.substring(currentSymbol, str.length(baseSymbol) + 6, str.length(baseSymbol) + 7)
strikePrice := str.substring(currentSymbol, str.length(baseSymbol) + 7, str.length(currentSymbol))
baseSymbol: Extracts the letters representing the stock symbol (e.g., TSLA).
expirationDate: Extracts the expiration date in the form of a 6-digit number (e.g., 250131).
optionType: Extracts the option type (C for Call, P for Put).
strikePrice: Extracts the strike price, which is the value after the option type (e.g., 400.0).
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5. Fetching the Base Symbol Price
baseSymbolClose = request.security(baseSymbol, "1", close)
This line uses the request.security() function to get the most recent close price of the base symbol (e.g., TSLA) on a 1-minute chart.
6. Converting the Strike Price to a Float
strikePriceFloat = na(strikePrice) ? na : str.tonumber(strikePrice)
Converts the strike price string to a numerical value (float). If the strike price is not available (i.e., na), it will not proceed with calculations.
7. Price Difference Calculation
priceDifference = baseSymbolClose - strikePriceFloat
This calculates the difference between the base symbol's close price and the strike price. For a Call option, this represents how much the stock price is above or below the strike price.
8. Adjusting for Put Options
if optionType == "P"
priceDifference := strikePriceFloat - baseSymbolClose
If the option is a Put, the price difference is reversed because a Put option becomes valuable when the stock price is below the strike price.
9. Plotting the Price Difference
priceDiffPlot = plot(priceDifference, title="Price Difference (Strike - Base)", color=color.blue, linewidth=2, style=plot.style_line, offset=0)
This line plots the calculated price difference as a blue line.
10. Zero Line Plot
zeroLinePlot = plot(0, "Zero Midline", color=color.white, linewidth=1, style=plot.style_line, offset=0)
This plots a white line at the zero level. This helps visually separate when the price difference is positive or negative.
11. Filling the Area Between the Price Difference and Zero Line
fill(priceDiffPlot, zeroLinePlot, color=color.new(priceDifference > 0 ? color.green : color.red, 70))
This fills the area between the price difference plot and the zero line:
Green if the price difference is positive (indicating the option is In the Money for Calls or Out of the Money for Puts).
Red if the price difference is negative (indicating the option is Out of the Money for Calls or In the Money for Puts).
Final Thoughts
This script is useful for traders and options investors who want to track the status of an option relative to the current price of the underlying asset. The green and red fill colors provide an immediate visual cue for whether the option is ITM or OTM. By applying this indicator on TradingView, users can easily see whether a particular option is valuable (ITM) or worthless (OTM) based on the current market price of the underlying asset. This makes it a valuable tool for quick decision-making in options trading.
HTF CandlesHTF Candles, Plot of a Higher/Lower Timeframe Candles on any chart.
This HTF / LTF candle plot displays the previous 3 daily candles with the current update of the price with reference to a lower time frame.
Candles includes 3 Candles of HTF
last HTF candle includes 4 previous candles from LTF
Candle High Low Open Close are plotted.
these OHLC values act as Support and Resistance With reference to current Price.
very useful in making HTF and LTF analysis with reference to current timeframe.
Relative Performance Indicator by ComLucro - 2025_V01The "Relative Performance Indicator by ComLucro - 2025_V01" is a powerful tool designed to analyze an asset's performance relative to a benchmark index over multiple timeframes. This indicator provides traders with a clear view of how their chosen asset compares to a market index in short, medium, and long-term periods.
Key Features:
Customizable Lookback Periods: Analyze performance across three adjustable periods (default: 20, 50, and 200 bars).
Relative Performance Analysis: Calculate and visualize the difference in percentage performance between the asset and the benchmark index.
Dynamic Summary Label: Displays a detailed breakdown of the asset's and index's performance for the latest bar.
User-Friendly Interface: Includes customizable colors and display options for clear visualization.
How It Works:
The script fetches closing prices of both the asset and a benchmark index.
It calculates percentage changes over the selected lookback periods.
The indicator then computes the relative performance difference between the asset and the index, plotting it on the chart for easy trend analysis.
Who Is This For?:
Traders and investors who want to compare an asset’s performance against a benchmark index.
Those looking to identify trends and deviations between an asset and the broader market.
Disclaimer:
This tool is for educational purposes only and does not constitute financial or trading advice. Always use it alongside proper risk management strategies and backtest thoroughly before applying it to live trading.
Chart Recommendation:
Use this script on clean charts for better clarity. Combine it with other technical indicators like moving averages or trendlines to enhance your analysis. Ensure you adjust the lookback periods to match your trading style and the timeframe of your analysis.
Additional Notes:
For optimal performance, ensure the benchmark index's data is available on your TradingView subscription. The script uses fallback mechanisms to avoid interruptions when index data is unavailable. Always validate the settings and test them to suit your trading strategy.
