Universal Valuation | Lyro RSUniversal Valuation
⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE.
Introduction
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
The Myth
INPUTS:
The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT:
This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting:
The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Summary:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Biến động
VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals.
Key Features
Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis.
Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements.
Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions.
Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones.
Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions.
Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups.
In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones.
How It Works
VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation.
Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis.
Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines.
Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output.
Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns.
In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move.
Alerts
Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1.
Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1.
Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2.
Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2.
Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode.
Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode.
Application
Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts.
Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals.
Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals.
Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy.
The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
Instantaneous Trendline with Cloud Instantaneous Trendline with Cloud
Introduction & History
The Instantaneous Trendline was introduced by John Ehlers, a well-known figure in the field of technical analysis, particularly for applying digital signal processing concepts to financial markets. Ehlers aimed to create an indicator that reacts to market price changes more quickly than traditional moving averages, yet remains smooth enough to avoid excessive noise. By incorporating concepts from digital filtering, he devised a formula that calculates a trendline with minimal lag—hence the term “instantaneous.”
Purpose
The primary purpose of the Instantaneous Trendline with Cloud is to provide traders and analysts with a responsive, smoothed line that closely follows market price movements. Additionally, this script enhances the visual cues by adding a cloud fill to highlight bullish and bearish zones:
Trend Identification
The ITL (Instantaneous Trendline) is plotted alongside the price. When price consistently stays above the ITL, it may signal an uptrend. Conversely, when price dips below the ITL, it can suggest a downtrend.
Signal Generation
Crossover points between the price and the ITL can serve as potential entry or exit signals. A bullish crossover (price moving above the ITL) often indicates the start of upward momentum, while a bearish crossover (price dropping below the ITL) may point to downward momentum.
Noise Reduction
By applying digital filtering concepts and smoothing through the alpha (smoothing coefficient), the ITL reduces noise while still responding relatively quickly to price changes. Traders can adjust alpha to make the trendline more reactive (higher alpha) or smoother (lower alpha).
Clarity via Cloud Fill
A color-coded cloud between the price and the ITL provides an at-a-glance view of market bias. The green cloud highlights potentially bullish phases, while the red cloud highlights potentially bearish phases.
Experiment with the alpha value (commonly between 0.2 and 0.3) to find a balance that suits your preference for responsiveness versus smoothness.
This indicator implements John Ehlers’ Instantaneous Trendline concept and plots a smoothed trendline (ITL) alongside the price. The trendline is controlled by a user-defined smoothing coefficient (alpha). A higher alpha makes the trendline respond more quickly to price changes, while a lower alpha produces a smoother line.
A color-filled cloud helps traders identify bullish and bearish conditions:
Green cloud if the price is above the ITL (bullish potential).
Red cloud if the price is below the ITL (bearish potential).
Key Benefits
Trend Visualization: Quickly see if the market is in an uptrend or downtrend based on the position of the price relative to the trendline.
Crossover Signals: Identify potential shifts in trend or momentum when the price crosses the ITL.
Customizable Sensitivity: Adjust the alpha parameter to make the ITL more or less reactive to price moves. Use this tool to better visualize short-term trend changes and potential entry/exit signals in conjunction with other technical analysis methods.
Onky's DikFat Supreme Supply and Demand
Onky's DikFat Supreme Supply and Demand (DFAT S&D)
This indicator identifies and marks potential Demand and Supply zones based on sharp price movements and volume spikes. It is designed to assist traders in recognizing areas where price could potentially reverse or move impulsively, based on the concept of supply and demand.
Key Features:
- Dynamic Demand and Supply Zones : The indicator uses historical price data and sharp price movements to detect areas where demand or supply may be concentrated. The zones are drawn as boxes on the chart for visual reference.
- Volume Spike Detection : The zones are only marked when a volume spike occurs, indicating increased market activity and potentially stronger support or resistance at those levels.
- Adjustable Parameters : Traders can adjust the Zone Size to control the lookback period for detecting supply and demand zones, and can fine-tune the Volume Multiplier to control the sensitivity of volume spikes.
- Alerts : Alerts are available for both Demand and Supply zones when they are detected, allowing traders to be notified when price enters or reacts to these areas.
How Traders Use Supply and Demand Zones:
Supply and Demand Theory suggests that prices often move in response to the balance between the amount of supply (selling pressure) and demand (buying pressure) at specific price levels. When demand exceeds supply, prices tend to rise, and when supply exceeds demand, prices tend to fall.
1. Demand Zones : These are areas where price has previously fallen to a low point and buyers have stepped in, pushing prices higher. Traders may view these zones as potential areas for price to reverse upward again.
2. Supply Zones : These are areas where price has risen to a high point and sellers have stepped in, pushing prices lower. Traders may see these zones as potential areas for price to reverse downward again.
Traders use these zones to identify potential entry points (for buying in demand zones or selling in supply zones) and exit points (if price reaches these zones in the future). The volume spike further validates the strength of these zones, as it indicates heightened market interest at those levels.
This indicator offers a flexible, visual way to identify and act upon these market dynamics. It is neutral and does not guarantee any specific outcomes, but it may assist traders in recognizing important price levels where price action could change.
Disclaimer:
This indicator is provided for informational purposes only. It is not intended to be trading advice or a recommendation to buy or sell any financial instruments. Trading involves risk, and the use of this tool does not guarantee any specific results or profits. Past performance is not indicative of future results. Users are responsible for their own decisions and should seek independent financial advice before making any investment decisions.
Chart scaleThe point of this indicator is to gauge chart sale, to make sure you are NOT too overly focused on tiny chart movement while too zoomed in and loses focus. It lock in y-axis and x-axis base on a fixed defined number so no matter how much you zoom in or not, it will changes and keep the same scale.
There are 2 lines, x-axis line = time and you can set how many bars to look back. And y-axis which is the price, in the setting you can select how many bar to look back which is x-axis and time
as for y axis, intead of using 2 fixed time, it put it in a precentage of the overall price, for example if you put 1%, then top of the line from price will be 1% of overall price top and below the current price. in the setting you can also select where does x-axis line appear, top bottom or middle, so it does not clutter the chart.
what i like to do is to find my perfect spot where average move over time and make both x and y axis to be close to as a square as possible, and when price slows down or speed up, if i zoom in or out, and see the x and y lines are no longer forming a square, shape then i would know the price is either moving too fast or too slow and i would trade accordingly
you can also custozmie the line type, width and transprancy.
Liquidity Trap Detector (LTD)The Liquidity Trap Detector is an advanced trading tool designed to identify liquidity zones and potential traps set by institutional players. It provides traders with a comprehensive framework to align with smart money movements, helping them avoid common retail pitfalls such as bull and bear traps.
The indicator focuses on detecting liquidity sweeps, breaker blocks, and areas of institutional accumulation/distribution. It integrates multiple technical analysis methods to offer high-probability signals and insights into how liquidity dynamics unfold in the market.
Note : This indicator is not designed for beginners; it is intended for traders who already have a solid understanding of trading fundamentals. It is tailored for individuals who are familiar with concepts like liquidity, order blocks, and traps. Traders with at least 6 months to 1 year of trading experience will fully appreciate the power and potential of this indicator, as they will have the necessary knowledge to leverage its features effectively. Beginners may find it challenging to grasp the advanced concepts embedded in this tool.
Why Combine These Elements?
The components of the Liquidity Trap Detector are carefully chosen to address the core challenges of identifying institutional activity and liquidity traps. Here’s why each element is included and how they work together:
1. Order Blocks:
• Purpose: Identify zones where large institutional players accumulate or distribute positions.
• Role in the Indicator: These zones act as primary liquidity areas, where price is likely to reverse or consolidate due to significant order flow.
2. Breaker Blocks:
• Purpose: Highlight areas where liquidity has been swept, leading to potential price reversals or continuations.
• Role in the Indicator: Confirms whether a liquidity trap has occurred and provides actionable levels for entry or exit.
3. ATR-Based Volatility Zones:
• Purpose: Filter signals based on market volatility to ensure trades align with statistically significant price movements.
• Role in the Indicator: Defines dynamic support and resistance zones, improving the accuracy of signal generation.
4. Volume Delta:
• Purpose: Measure the imbalance between aggressive buyers and sellers, often indicating institutional activity.
• Role in the Indicator: Validates whether a liquidity trap is backed by smart money absorption or retail-driven momentum.
5. Trend Confirmation (EMA):
• Purpose: Align liquidity trap signals with the broader market trend, reducing false positives.
• Role in the Indicator: Ensures trades are executed in the direction of the prevailing trend.
What Makes It Unique?
1. Gen 1 Liquidity Zones and Traps:
• The indicator identifies Gen 1 Liquidity Zones, which represent the first areas where liquidity is accumulated or swept. While these zones often lead to reversals, they can sometimes fail, resulting in continuation moves. The indicator highlights these scenarios, helping traders adapt.
• For example, a bull trap identified in a Gen 1 Zone may see price move higher after an initial red candle, completing a secondary liquidity sweep before reversing.
2. Multi-Layer Signal Validation:
• Signals are only generated when liquidity, volume, trend, and volatility align. This ensures high-probability setups and reduces noise in choppy markets.
3. Dynamic Adaptability:
• ATR-based zones and volume delta filtering allow the indicator to adapt to different market conditions, from trending to range-bound environments.
4. Institutional Insights:
• By focusing on liquidity sweeps, order blocks, and volume imbalances, the indicator helps traders align with institutional strategies rather than retail behavior.
How It Works
The Liquidity Trap Detector uses a step-by-step process to identify and validate liquidity traps:
1. Identifying Liquidity Zones:
• Order Blocks: Mark key zones of institutional activity where price is likely to reverse.
• Breaker Blocks: Highlight areas where liquidity sweeps have occurred, signaling potential traps.
2. Filtering with Volatility (ATR):
• ATR defines dynamic support and resistance zones, ensuring signals are only generated near significant price levels.
3. Validating Traps with Volume Delta:
• Volume delta shows whether liquidity sweeps are backed by aggressive buying/selling from institutions, confirming the trap’s validity.
4. Aligning with Market Trends:
• EMA ensures signals align with the broader trend to reduce false positives.
5. Monitoring Gen 1 Liquidity Zones:
• The indicator highlights Gen 1 Liquidity Zones where price may initially reverse or sweep further before a true reversal. Traders are alerted to potential continuation scenarios if volume or momentum suggests unmet liquidity above/below the zone.
How to Use It
Buy Signal:
• Triggered when:
• Price sweeps below an order block and forms a breaker block, indicating a liquidity trap.
• Volume delta confirms aggressive selling absorption.
• ATR volatility zone supports the reversal.
• EMA confirms a bullish trend.
• Action: Enter a Buy trade and set:
• Stop Loss (SL): Below the order block.
• Take Profit (TP): Near the next resistance or liquidity zone.
Sell Signal:
• Triggered when:
• Price sweeps above an order block and forms a breaker block, indicating a liquidity trap.
• Volume delta confirms aggressive buying absorption.
• ATR volatility zone supports the reversal.
• EMA confirms a bearish trend.
• Action: Enter a Sell trade and set:
• SL: Above the order block.
• TP: Near the next support or liquidity zone.
Timeframes:
• Best suited for scalping and intraday trading on lower timeframes (5m, 15m, 1H).
• Can also be applied to swing trading on higher timeframes.
Example Scenarios:
1. Bull Trap in a Gen 1 Zone:
• Price sweeps above a resistance order block, forms a breaker block, and reverses sharply. However, if momentum persists, price may continue higher after a minor pullback. The indicator helps traders anticipate this by monitoring volume and trend shifts.
2. Bear Trap with Secondary Sweep:
• Price sweeps below a support order block but fails to reverse immediately, instead forming a secondary liquidity sweep before turning bullish. The indicator highlights both scenarios, allowing for flexible trade management.
Why Use It?
The Liquidity Trap Detector offers:
1. Precision: Combines multiple filters to identify institutional liquidity traps with high accuracy.
2. Adaptability: Works across trending and range-bound markets.
3. Smart Money Alignment: Helps traders avoid retail traps by focusing on liquidity sweeps and institutional behavior.
MOR+ [JJumbo]Midnight Opening Range (MOR)
Designed for opening range and ICT traders
- Midnight Opening Range Analysis
Accurate Price Benchmarking: Captures the essential price movements at the midnight
opening, providing a solid foundation for your trading decisions.
- RTH Candles Shadowing
Enhanced Visualization: Displays Regular Trading Hours (RTH) candle shadows, allowing you to
clearly see price fluctuations and trends during active trading periods.
- Standard Deviations
Incorporates standard deviation calculations to measure market
volatility, helping you identify potential breakout and reversal points with greater
confidence.
- Midnight Opening Price Reference
Strategic Entry Points: Highlights the midnight opening price, serving as a critical reference
level.
- Comprehensive Range Points Calculation Table
Detailed Analysis: Features a dynamic table that calculates and displays range points,
enabling you to track and analyze key price levels effortlessly.
Donchian Reversal Signals with LabelsOverview:
This indicator is designed to identify potential reversal signals based on price action relative to two Donchian Channels. It plots **"BUY"** and **"SELL"** labels on the chart when specific conditions are met, helping traders spot potential trend reversals.
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Key Features:
1. Dual Donchian Channels:
- The indicator uses two Donchian Channels with user-defined lengths (`length1` and `length2`).
- The upper band of each channel is the highest high over the specified period.
- The lower band of each channel is the lowest low over the specified period.
2. Reversal Signals:
- A yellow "BUY" label appears below a green (bullish) candle if:
- The previous candle is red (bearish).
- The previous red candle touches or breaches either of the lower Donchian Channels.
- A green "SELL" label appears above a red (bearish) candle if:
- The previous candle is green (bullish).
- The previous green candle touches or breaches either of the upper Donchian Channels.
3. Visual Clarity:
- The labels are placed above or below the candles for easy visibility.
- The use of colors (yellow for buy, green for sell) makes it intuitive to interpret the signals.
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How It Works:
1. Donchian Channel Calculation:
- The upper and lower bands of the two Donchian Channels are calculated using the highest high and lowest low over the specified periods (`length1` and `length2`).
2. Candle Color Detection:
- The script identifies whether the current and previous candles are bullish (green) or bearish (red) based on their open and close prices.
3. Signal Conditions:
- For a **"BUY" signal**:
- The current candle must be green.
- The previous candle must be red and touch or breach either of the lower Donchian Channels.
- For a **"SELL" signal**:
- The current candle must be red.
- The previous candle must be green and touch or breach either of the upper Donchian Channels.
4. Label Placement:
- The labels are plotted using `shape.labelup` and `shape.labeldown` for clear visibility.
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Input Parameters:
- **Donchian Channel Length 1 (`length1`)**: The period for the first Donchian Channel (default: 20).
- **Donchian Channel Length 2 (`length2`)**: The period for the second Donchian Channel (default: 34).
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How to Use:
1. Add the indicator to your chart.
2. Adjust the lengths of the Donchian Channels if needed.
3. Look for **"BUY"** and **"SELL"** labels on the chart:
- A **yellow "BUY" label** below a green candle suggests a potential bullish reversal.
- A **green "SELL" label** above a red candle suggests a potential bearish reversal.
4. Use these signals in conjunction with other technical analysis tools for confirmation.
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Example Use Case:
- If the price touches the lower Donchian Channel and forms a red candle, followed by a green candle, a **"BUY" label** will appear, indicating a potential upward reversal.
- If the price touches the upper Donchian Channel and forms a green candle, followed by a red candle, a **"SELL" label** will appear, indicating a potential downward reversal.
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Customization:
- You can modify the lengths of the Donchian Channels to suit your trading style.
- The colors and text of the labels can also be adjusted in the script if desired.
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Disclaimer:
This indicator is designed to assist traders in identifying potential reversal signals. However, it should not be used in isolation. Always confirm signals with additional analysis and risk management strategies.
PlanDeFi: Adaptive Trend Ribbons [ATR+RSI]#### **Overview**
The **Crypto Half-Trend Pro ** is a trend-following indicator designed to identify bullish and bearish market conditions using a combination of **moving averages, volatility adjustments, and dynamic ATR bands**. This enhanced version improves on the traditional Half-Trend system by incorporating **EMA smoothing, volatility-based adjustments, and additional fakeout/reversal detection mechanisms**.
#### **Key Features**
✅ **Trend Detection:**
- Uses a combination of fast and slow moving averages (EMA/SMA) to determine trend direction.
- Implements **Hull Moving Average (HMA)** smoothing for better trend visualization.
✅ **Dynamic ATR Bands:**
- Adjusts bands based on market volatility using **RSI-based ATR multipliers**.
- Helps identify potential **breakouts and trend reversals**.
✅ **Fakeout & Reversal Detection:**
- Detects potential **fake breakouts** by analyzing price action against extended ATR bands.
- Identifies **early reversal signals** using price crossovers and volume confirmation.
✅ **Customizable Alerts & Visuals:**
- Built-in **buy & sell signals** for trend confirmation.
- Color-coded bullish/bearish trend lines and **fakeout warnings**.
- **TradingView alerts** for trend shifts and reversals.
#### **How It Works**
🔹 The indicator calculates a **smoothed trend line** using a Hull Moving Average on dynamic price levels.
🔹 ATR bands expand/contract dynamically based on **market volatility** to improve signal accuracy.
🔹 Trend direction is confirmed when price crosses the trend line **with volume confirmation**.
🔹 **Fakeouts** are detected when price temporarily exceeds extended bands but fails to hold momentum.
🔹 **Reversal signals** are generated when price breaks back into the ATR zone with volume spikes.
#### **How to Use It**
- 📈 **Buy Signal:** When price breaks above the trend line, confirmed by volume and crossover signals.
- 📉 **Sell Signal:** When price breaks below the trend line with confirmed bearish conditions.
- 🚨 **Reversal Warning:** If price sharply re-enters the ATR zone with volume confirmation, expect a potential trend shift.
- 🛑 **Fakeout Alert:** If price temporarily breaks resistance but closes back inside, it may be a false move.
#### **Ideal For**
✔️ Crypto & Forex traders looking for **dynamic trend signals**
✔️ Swing traders wanting to **avoid fakeouts & catch reversals**
✔️ Traders seeking a **customizable, volatility-adjusted trend system**
🚀 **Try PlanDeFi: Adaptive Trend Ribbons today and improve your trend analysis!**
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen.
What's the difference with the previous indicator (Kalman Filter by Tenozen)?
The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments.
The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure.
A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap:
Green : Bullish confidence (higher values indicate stronger trends).
Red : Bearish confidence (higher values indicate stronger trends).
Gray : Neutral zone (low confidence, suggesting caution).
This provides a clear, objective measure of trend strength.
How it works?
The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively.
How to use?
Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups.
Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones)
Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits
Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities
Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
VWAP Suite by Augur - Multi PeriodOverview
The Multi-Timeframe VWAP Suite revolutionizes price analysis by combining institutional-grade volume-weighted pricing with multi-period deviation analytics. This professional toolkit simultaneously tracks VWAP across 5 time horizons (Daily to Yearly) with smart deviation bands, offering traders unparalleled insight into market structure and volatility dynamics.
Key Features
Multi-Timeframe VWAP Matrix
Simultaneous Daily/Weekly/Monthly/Quarterly/Yearly VWAP tracking
Institutional-level volume-weighted calculations
Independent timeframe toggles for focused analysis
Smart Deviation Architecture
Dual-layer standard deviation bands (1σ & 2σ)
Separate colors for upper/lower deviation zones
Adaptive 95% transparency fills for layered visualization
Professional Visual Design
Strategic color coding per timeframe (FIXED palette)
Dark Blue/Yellow/Purple/Pink/Red VWAP hierarchy
Orange-Green-Red-Blue deviation band system
Advanced Calculation Engine
HLC3 price source integration
Cumulative volume-weighting algorithm
Real-time standard deviation updates
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
ZenAlgo - UltimateThe ZenAlgo - Ultimate Indicator is a premium trading tool that integrates advanced sub-indicators into a single framework, combining volume analysis, divergence detection, and market sentiment visualization. Designed for traders seeking deeper insights, it addresses the limitations of standalone free indicators by delivering a cohesive system that enhances accuracy, adaptability, and decision-making.
Why Multiple Sub-Indicators?
The integration of sub-indicators into one tool provides unique benefits not achievable with individual free indicators:
Improved Accuracy: Combining volume trends, delta volume, and divergence detection creates a multi-dimensional view of market behavior, reducing the chance of false signals.
Synergistic Insights: Free indicators like MAs or divergences work independently, while this tool integrates them into a unified framework that highlights actionable patterns, improving signal reliability.
Actionable Combinations: The tool visually aligns multi-timeframe trends, divergences, and volume states, enabling traders to confirm trades using multiple metrics in one glance, saving time and enhancing precision.
Features
This indicator introduces several customizations and integrations that distinguish it from free alternatives:
Dynamic Volume Classification: It calculates and categorizes volume states into clear signals like "Mega Buy" or "Big Sell," providing instant clarity about unusual activity levels.
Enhanced Delta Volume Analysis: Tracks delta volume trends with adjustable sensitivity, identifying subtle shifts in market pressure that standalone delta indicators might miss.
Customizable Multi-Timeframe Volume Tables: Displays volume and delta metrics across multiple timeframes, offering a holistic view of market activity that helps align short- and long-term strategies.
Real-Time Alerts: Provides instant notifications for confirmed and unconfirmed delta volume crosses, helping users stay ahead of market movements.
Divergence Detection Across Metrics: Identifies regular and hidden bullish or bearish divergences using up, down, and delta volumes, integrating price fractals for added precision.
How It Works
1. Volume and Delta Volume Integration
The indicator calculates and categorizes volume activity into specific states, such as "Mega Buy" or "Big Sell," by comparing the current volume with its 20-period average. For delta volume, it tracks the difference between buying and selling pressure, identifying shifts in market sentiment. These calculations are dynamically updated across multiple timeframes, with delta trends smoothed using user-selected moving averages (e.g., SMA, EMA, WMA, HMA) to highlight sustained market pressure changes.
2. Multi-Timeframe Volume Tables
The tool aggregates and displays volume and delta volume data across various timeframes in a visual table. Each timeframe's data includes total volume, categorized buying and selling volumes, and the net delta volume. Colors within the table provide immediate insights into the prevailing market sentiment for each timeframe, with bullish or bearish conditions emphasized using pre-defined thresholds.
3. Divergence Detection Across Metrics
Divergences are identified using fractal patterns in up volume, down volume, and delta volume. Regular and hidden bullish or bearish divergences are detected by comparing historical volume peaks and troughs with corresponding price movements. This allows the tool to highlight potential reversals or trend continuations before they are visually apparent on the chart.
4. Market State Labels
The indicator synthesizes multiple metrics, such as volume trends, delta volume movements, and histogram direction, to generate actionable market state labels. These labels, such as "Bullish," "Bearish," or "Reversal," offer a high-level summary of current market conditions, helping traders quickly adapt their strategies.
5. Real-Time Alerts
To ensure traders stay informed, the tool includes alerts for confirmed and unconfirmed delta volume crosses. These alerts consider not only the delta volume's movement relative to its average but also whether the broader buying or selling pressure supports the signal, enhancing the reliability of the alerts.
Specific Scenarios Where This Indicator Excels
Trend Confirmation: Align rising delta volume with bullish divergences across timeframes for high-confidence entries.
Reversal Identification: Use divergence labels to anticipate trend reversals before they occur.
Market Sentiment Analysis: Dynamic candle coloring helps visualize whether the market is dominated by bullish or bearish forces.
Volume Breakout Detection: Track spikes in cumulative volume and delta volume to identify breakouts with higher accuracy.
When to Be Cautious
Low-Volume Markets: In thinly traded markets, signals like divergences or delta volume shifts may produce noise due to insufficient data.
Highly Volatile Conditions: Sudden volume spikes can result in false positives for breakouts or reversals.
Session Overlaps or Data Misalignment: Variations in session timings or data discrepancies can temporarily impact cumulative volume metrics.
Overfitting Sensitivity Settings: Excessively high sensitivity settings may overfit the indicator to specific market conditions, leading to unreliable signals in broader contexts.
Why Pay for This Indicator?
This tool stands out because it doesn’t merely replicate free indicators; it integrates and enhances them into a uniquely actionable framework:
Tailored for Precision: Adjustable parameters for sensitivity, divergence detection, and timeframe analysis allow traders to adapt the indicator to their strategies.
Time-Saving Synergy: Combines the functionality of multiple tools into a single interface, eliminating the need to juggle multiple scripts.
Comprehensive Insights: Delivers a broader perspective by linking volume trends, delta volume, and divergences, ensuring more informed decisions.
Real-Time Notifications: Alerts for key events ensure you never miss a critical market movement.
Usage Examples
Volume State Monitoring: Instantly identify states like "Big Buy" or "Mega Sell" to act on significant volume surges.
Multi-Timeframe Alignment: Combine bullish divergences on a 15-minute chart with a rising daily delta volume trend for high-probability trades.
Scalping Opportunities: Use delta volume crosses and short-term trends for quick entries and exits.
Breakout Validation: Confirm volume breakouts with delta volume spikes to avoid false signals.
Settings
Volume MA Length: Adjusts the moving average period for volume trends.
Divergence Sensitivity: Fine-tunes the thresholds for divergence detection to suit different market conditions.
Multi-Timeframe Visibility: Customizes the number of timeframes displayed in the cumulative volume table.
Conclusion
The Ultimate Indicator is more than a collection of sub-indicators—it’s a fully integrated system designed to address the limitations of standalone tools. By offering deeper insights into volume trends, market sentiment, and divergence analysis, it empowers traders to make better-informed decisions with enhanced confidence.
ATR BeamsATR Beams is a simple indicator that utilizes the ATR to determine levels above and below price action that can serve as stop loss or trailing visual aids across all instruments.
This indicator is preset to an ATR value of 14 and a multiplier of 1 for the ATR.
Both of these parameters can be modified to your specific trading preference, the color and indicator line style can both also be modified to your visual preference.
I hope this provides you with a good visual aid
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Volatility & Big Market MovesThis indicator shows the volatility per candle, and highlights candles where volatility exceeds a defined threshold.
Data shown:
Furthest %-distance from the previous candle's closing price to the top (positive histogram).
Furthest %-distance from the previous candle's closing price to the bottom (negative histogram).
Weighted Close SumWeighted Close Sum Indicator - Overview
The Weighted Close Sum Indicator is a dynamic and adaptive technical tool designed to analyze price action by incorporating a volatility-adjusted weighted smoothing approach. Unlike traditional moving averages, this indicator adjusts its smoothing length based on market volatility, making it highly responsive to price fluctuations while maintaining accuracy in trend detection.
How It Works
Dynamic Length Adjustment Using ATR:
The indicator calculates the Average True Range (ATR) over a default period of 14 to gauge market volatility.
A dynamic smoothing length is computed based on the user-defined length and a volatility multiplier, allowing the indicator to adapt to changing market conditions.
Formula:
Dynamic Length=Length×(1+ATRClose Price×Multiplier)
Dynamic Length=Length×(1+Close PriceATR×Multiplier)
Cosine-Weighted Smoothing:
A set of weights is calculated using a cosine function to create a smooth and responsive weighting curve.
These weights are then applied to past closing prices, emphasizing recent data while retaining a natural tapering effect for older data points.
Weighted Close Sum Calculation:
The final value, known as the Cumulative Sum of Moving Averages (CSMA), is computed by multiplying the closing prices with their corresponding weights and summing them up.
This results in a smooth representation of price trends that dynamically adjusts based on market conditions.
How to Use the Indicator
Trend Identification:
Rising values of the Weighted Close Sum indicate an uptrend, while declining values suggest a downtrend.
Volatility Sensitivity:
The adaptive length ensures that the indicator responds faster during high volatility and smooths out during calmer periods, making it suitable for trend-following strategies.
Customizable Parameters:
Length: Controls the base period for calculation. A higher length provides smoother outputs, while a lower value makes the indicator more sensitive.
Volatility Multiplier: Adjusts the sensitivity of the indicator to price fluctuations. A higher multiplier increases responsiveness during volatile periods.
Sharpe and Sortino Ratios with Date RangeThis indicator calculates the Sharpe and Sortino ratios using a chart symbol's periodic price returns.
I added the ability to calculate SORTINO and Sharpe based on CUSTOM DATES within the option menu.
It builds on the script here: by adding this feature.
A little about the Sortino Ratio.
www.nasdaq.com
I want equity market returns, but I don’t want equity market volatility. This is the sentiment many investors naturally feel. This sentiment often grows stronger as one approaches or is in the phase where they desire distributions from their savings to improve lifestyle. This is why there is a need for active management in the investment arena. The desire to control downside volatility, but also participate in the upside growth is a very fundamental human desire. The Sortino Ratio measures how well a particular investment meets this fundamental human desire.
There is the old adage, “volatility is the price you pay for returns.” However, what if we could measure the historical performance of an investment and see if it has given above average returns compared to the downside volatility. This is a simple division problem. It will tell us if the volatility “price we are paying for returns” is good. We can then compare that to other investments to see how they compare.
Let us take the return and subtract the risk-free interest rate and then simply divide that by the downside movement from the average. A basic division problem yielding a number that measures a very basic human desire: How well did this investment do compared to the downside risk it experienced.
In the world of financial analysis and investment management, ratios are abundant. There are many ratios that are truly important to a particular analysis. However, the sheer abundance of ratios that are available often overwhelms the casual investor, leading them to disregard ratios altogether. I would argue for those investors that desire a way to rank an investment by its ability to satisfy this very fundamental human desire, the Sortino Ratio is the number they need to consider.
Disappointing in the marketplace for research, the Sortino Ratio is not featured prominently. It is much easier to find the inflows a particular ETF has experienced than the Sortino Ratio. Inflows are important. They measure how much people are investing into an ETF. However, they are mostly only important to the fund manager, not the investor. What investors care about is the Risk-Adjusted Return. This is the Sortino Ratio.
Engulfing and ATR-Imbalance [odnac]This Pine Script indicator combines two powerful concepts—Engulfing Candlestick Patterns and ATR Imbalance—to identify potential market reversal points with increased precision.
Engulfing Candlestick Patterns:
Bullish Engulfing: Identified when a candle closes higher than it opens, and it completely engulfs the previous candle (previous close is lower than the current open, and previous high is lower than the current close).
Bearish Engulfing: Identified when a candle closes lower than it opens, and it completely engulfs the previous candle (previous close is higher than the current open, and previous low is higher than the current close).
Bar Coloring: These patterns are highlighted with a customizable color (light gray by default) to make them easily identifiable.
ATR-Based Imbalance:
The Average True Range (ATR) is used to measure market volatility, and this script checks if the current candle’s range (difference between high and low) exceeds a defined multiple of the ATR, indicating a possible imbalance.
Imbalance Detection: If the current candle’s range is greater than ATR * imbalance multiplier (default multiplier: 1.5), it is marked as an ATR imbalance.
Bar Coloring: Candles with a significant imbalance (greater range than the ATR-based threshold) are highlighted in yellow, indicating an outlier or extreme price movement.
Engulfing + ATR Imbalance:
When both a Bullish Engulfing pattern and an ATR Imbalance are detected, a green triangle up is plotted below the bar, signaling a potential bullish reversal.
Conversely, when both a Bearish Engulfing pattern and an ATR Imbalance occur, a red triangle down is plotted above the bar, signaling a potential bearish reversal.
User Inputs:
Engulfing Plot: Enable or disable the plotting of Engulfing Candles.
ATR Length: Set the period used to calculate the ATR (default is 5).
Imbalance Multiplier: Adjust the multiplier to define the threshold for ATR imbalance detection (default is 1.5).
Bar Colors: Customizable color for both Engulfing candles and Imbalance candles.
Engulfing & Imbalance Plot: Enable or disable plotting of the combined conditions (Engulfing + ATR Imbalance) with arrows.
How This Indicator Helps:
By combining price action patterns with volatility analysis, this indicator highlights high-probability reversal points where significant price movement (imbalance) coincides with a clear Engulfing pattern. Traders can use these signals to time entries or exits based on both price action and market volatility.
4 EMA & MACDThe indicator that combines Moving Average and MACD into one is very useful for providing a more complete picture of the market. Here's how it works:
Moving Average (MA): This is a trend indicator that smooths the price to show the dominant trend direction. MA helps traders determine whether the market is in an uptrend, downtrend, or sideways. For example, if the price is above the MA, it might indicate an uptrend, while if the price is below the MA, it might indicate a downtrend.
MACD (Moving Average Convergence Divergence): MACD measures market momentum and can provide entry and exit signals based on the difference between two moving averages (fast MA and slow MA). A buy signal occurs when the MACD crosses above the signal line, and a sell signal occurs when the MACD crosses below the signal line.
Combining both gives traders a more complete view:
MA provides an overview of the larger trend direction.
MACD helps identify moments when momentum supports a position for entering or exiting.
Common usage:
Entry: If the price is above the Moving Average (uptrend) and the MACD shows a buy signal (for example, MACD crossing above the signal line), it can be a signal to buy.
Exit: If the price starts moving below the MA and the MACD shows a sell signal, it can be a signal to sell or exit the position.
There is an indicator called MACD + Moving Average Cross, which combines both elements, providing stronger signals and making it easier to follow the market.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
Dawud Range Rover BarsThe Dawud Range Rover Bars indicator is a dynamic technical analysis tool designed to normalize price movements into a 0-100 range, helping traders identify overbought and oversold conditions while incorporating adaptive signal tracking. This indicator utilizes multiple smoothing techniques, including EMA, RMA, SMA, and TMA, allowing traders to filter price movements based on their preferred method. By applying a rolling min-max scaling approach, the script converts price action into a normalized range, making it easier to detect potential trend reversals or continuations.
A key feature of this indicator is its dynamic signal line, which smooths the normalized value to help confirm trend shifts. Traders can adjust the length and smoothing strength of both the primary normalization process and the signal line to fine-tune the sensitivity of the indicator. Overbought and oversold levels are marked with customizable thresholds, providing visual cues to identify key trading opportunities. Additionally, background highlights dynamically change color when the price enters extreme zones, making trend shifts more apparent.
The indicator also incorporates a unique threshold-based bar plotting system that displays colored bars below the price when the normalized value crosses the upper or lower custom thresholds. This provides an additional visual confirmation of extreme price conditions. To ensure accuracy and avoid repainting, historical values are stored in arrays, preventing future bars from influencing past signals. This non-repainting approach makes the Dawud Range Rover Bars a reliable tool for traders looking for consistent signals without the risk of misleading historical data.
By combining trend smoothing, normalization, adaptive signal lines, and threshold-based visual cues, the Dawud Range Rover Bars indicator offers a comprehensive approach to market analysis. It helps traders identify key reversal zones, trend strengths, and breakout opportunities with greater clarity. With its flexibility in customization and non-repainting methodology, this indicator is suitable for traders across different timeframes and asset classes who are looking for a structured and visually intuitive method to assess market conditions.
