Moving Average Shift [ChartPrime]Moving Average Shift indicator combines multiple moving average (MA) types with a unique MA Shift Oscillator to help traders visualize trend direction, price deviations, and mean reversion states.
⯁ KEY FEATURES
Customizable Moving Averages: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
Trend-Based Coloring: Candles are dynamically colored based on price position relative to the MA.
MA Shift Oscillator: Identifies price deviations and potential mean reversion zones.
Threshold Filtering: Helps filter mean reversion signals using a user-defined threshold.
Diamond Signals for Mean Reversion: Plots diamonds on the chart when the oscillator crosses back above or below the threshold level.
Oscillator Color Coding: The oscillator has four color states:
Color 1: Above 0 and increasing.
Color 2: Above 0 and decreasing.
Color 3: Below 0 and increasing.
Color 4: Below 0 and decreasing.
⯁ HOW TO USE
Use the indicator to follow the trend based on MA direction and price relation to it.
The MA Shift Oscillator helps identify potential mean reversion points where price may revert toward the MA.
The threshold setting allows traders to filter out weak mean reversion signals and focus on significant shifts.
The four-color oscillator visually indicates trend momentum and potential trend shifts.
⯁ CONCLUSION
The Moving Average Shift indicator is a powerful tool that merges trend-following and mean reversion strategies into one comprehensive system. By allowing traders to select different types of moving averages, it provides flexibility in trend analysis while visually enhancing price action with dynamic candle coloring. The MA Shift Oscillator further strengthens decision-making by detecting deviations and highlighting potential mean reversion points.
Analyse de la tendance
HTF Trend Tracker [BigBeluga]HTF Trend Tracker is a higher timeframe (HTF) trend tracking indicator designed to help traders identify significant trends, key levels, and market sentiment. The indicator dynamically adapts to the current price action, using HTF highs and lows to display trend direction and strength with detailed visuals.
🔵 Key Features:
Dynamic Trend Detection:
Uptrend is identified when the price closes above the HTF high.
Downtrend is detected when the price closes below the HTF low.
Midline changes color dynamically based on the trend direction:
Bullish Green: Indicates an uptrend.
Bearish Red: Indicates a downtrend.
Historical and Active HTF Levels:
Historic HTF highs and lows are displayed as dotted lines.
Current active HTF high and low levels are shown as solid lines.
Timeframe labels (e.g., "1D High" or "1D Low") mark the active levels for clarity.
Trend Change Signals:
A green checkmark (✓) is plotted when an uptrend starts.
A red cross (✕) appears when a downtrend begins.
Trend-Based Candle Coloring:
Candle colors change dynamically based on the trend and the price's distance from the midline:
Intense Bullish Green: Price is far above the midline during an uptrend.
Intense Bearish Red: Price is far below the midline during a downtrend.
Neutral Gray: Price is near the midline.
Users can customize the colors to suit their preferences.
🔵 Usage:
Identify uptrends and downtrends using the midline's color and the position of the close relative to the HTF levels.
Use solid lines and timeframe labels to track current HTF high and low levels.
Observe dotted lines for historical HTF levels to understand past price behavior.
Watch for checkmark (✓) and cross (✕) signals to spot trend changes and key market shifts.
Monitor candle colors to gauge trend intensity and proximity to the midline:
Intense colors signal strong trends, while neutral gray indicates consolidation near the midline.
HTF Trend Tracker is an essential tool for traders aiming to follow higher timeframe trends, identify key levels, and make data-driven decisions based on price dynamics and trend strength. Its customizable features allow for flexible integration into any trading strategy.
ORB Candle Highlighter Opening Range Breakout candle highlighter - Designed to better help traders identify the bullish and bearish breakout/breakdown
MACD/RSI StrengthMACD/RSI Strength Indicator - A combination of the MACD and RSI indicators to show market strength and weakness.
Bollinger Bands + Supertrend by XoediacBollinger Bands with Supertrend Indicator by Xeodiac
This script combines two powerful technical analysis tools — Bollinger Bands and the Supertrend Indicator — to provide traders with a comprehensive view of market volatility and trend direction.
Bollinger Bands: These bands consist of a middle band (the simple moving average, or SMA) and two outer bands (calculated as standard deviations away from the middle). The upper and lower bands act as dynamic support and resistance levels, expanding during high volatility and contracting during low volatility.
Supertrend Indicator: The Supertrend is a trend-following indicator that uses the Average True Range (ATR) to calculate an adaptive threshold, indicating whether the market is in an uptrend or downtrend. The indicator changes color based on the trend direction, providing clear buy and sell signals.
Features of the Script:
Volatility-based Signals : By incorporating the Bollinger Bands, the script adjusts to market volatility. Traders can identify periods of high and low volatility, helping to gauge potential price breakouts or reversals.
Trend Confirmation: The Supertrend helps confirm the trend direction, ensuring that trades are aligned with the overall market trend. Green Supertrend signals indicate an uptrend, while red signals indicate a downtrend.
Enhanced Decision-making: By using both indicators together, traders can make more informed decisions. For instance, buying opportunities are validated when the price is near the lower Bollinger Band, and the Supertrend is in a bullish phase, and vice versa for selling.
Customizable Parameters: The script allows users to customize the settings for both the Bollinger Bands and the Supertrend, enabling fine-tuning based on trading preferences or market conditions.
Ideal Use Cases:
Identifying trend reversals or continuation patterns in trending markets.
Monitoring price action during periods of low volatility for breakout opportunities.
Filtering out false signals by combining volatility with trend strength.
MTF Fractals [RunRox]🔽 MTF Fractals is a powerful indicator designed to visualize fractals from multiple timeframes directly on your chart, highlight liquidity sweeps at these fractal levels, and provide several additional features we’ll cover in detail below.
We created this indicator because we couldn’t find a suitable tool that met our specific needs on TradingView. Therefore, we decided to develop a valuable indicator for the entire TradingView community, combining simplicity and versatility.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📙 FRACTAL FORMATION
Here’s how fractals form depending on your chosen setting (3, 5, 7, or 9):
▶️ 3-bar fractal – forms when the central candle is higher (for highs) or lower (for lows) than one candle on each side.
▶️ 5-bar fractal – forms when the central candle is higher or lower than two candles on both sides.
▶️ 7-bar fractal – forms when the central candle is higher or lower compared to the three candles on each side.
▶️ 9-bar fractal – forms similarly but requires four candles on each side, making the fractal significantly more reliable and robust.
A higher number of bars ensures stronger fractal levels, highlighting more significant potential reversal points on the chart.
Now that we’ve covered the theory behind fractal formation, let’s explore the indicator’s functionality in more detail.
Below, I’ll explain each feature clearly and illustrate how you can effectively utilize this indicator in your trading.
🕐 MULTI-TIMEFRAME FRACTALS
We realized that displaying fractals only from the current timeframe isn’t always convenient, so we’ve introduced Multi-Timeframe Fractals into this indicator.
Now you can easily display fractals from higher timeframes directly on your current chart, providing you with broader market context and clearer trading signals.
Fractals from Current Timeframe – Fractals identified directly on the chart’s current timeframe.
Fractals from Higher Timeframes – Fractals sourced from higher timeframes and displayed clearly on your current chart for enhanced market perspective.
📈 FRACTAL LINES
Since fractals represent areas of high liquidity, we’ve added an option to extend fractal levels horizontally as Fractal Lines across your chart.
This feature allows you to clearly visualize critical liquidity areas from higher timeframes, directly on your current timeframe chart, as demonstrated in the screenshot below.
With this approach, you can clearly visualize significant fractal levels from higher timeframes directly on your current chart - for example, projecting fractals from the 1-hour (1H) timeframe onto a 3-minute (3m) chart. ✅ This helps you easily identify critical liquidity areas and potential reversal zones without the need to switch between multiple timeframes.
💰 LIQUDITY SWEEP (LIQUDITY GRAB)
To enhance your trading experience, we’ve introduced a feature that clearly identifies liquidity sweeps of fractal levels.
A Liquidity Sweep occurs when a candle closes beyond a fractal line, leaving a wick that pierces through it, signaling that liquidity has been collected at this level.
Below, you’ll find two examples illustrating this functionality:
▶️ Fractal lines from the current timeframe
▶️ Fractal lines projected from higher timeframes
The first example illustrates liquidity being swept from fractals on the current timeframe .
Here, the candle clearly closes beyond the fractal line, leaving a wick through it. This indicates a liquidity sweep at the fractal level, visually highlighting a potential reversal or continuation opportunity directly on your chart.
In the second example, fractals from the higher timeframe are projected onto your current chart.
When a candle on your current timeframe closes beyond an HTF fractal line - leaving a wick through this level - the indicator highlights it clearly. This signals to traders a potential reversal zone, indicating that liquidity has been swept, and price may reverse or significantly react from this area.
You can also enable the display of additional labels on the chart. These labels clearly mark liquidity sweeps at fractal levels, making it easier to visually identify potential reversal points directly on your chart.
⚙️ SETTINGS
Below are the indicator settings with detailed explanations for each parameter.
🔷 Bars in Fractal – Number of candles to the right and left required to form a fractal.
🔷 Fractal Timeframe – Select the timeframe from which you want to display fractals on the current chart.
🔷 Max Age, bars – Number of bars during which the fractal will remain active.
🔷 Show Fractal Line – Display or hide fractal lines.
🔷 Line Style – Choose the style of the line displayed on the chart.
🔷 Line Width – Thickness of the fractal line.
🔷 High Fractal – Style and color of bearish fractals.
🔷 Low Fractal – Style and color of bullish fractals.
🔷 Fractal Label Size – Select the size of fractal labels.
🔷 Show Sweep Labels – Option to display labels when a liquidity sweep occurs.
🔷 Label Color – Color and transparency of the area marked on the chart during a sweep.
🔷 Shade Sweep Area – Show or hide the sweep area shading.
🔷 Area Color – Color and transparency settings for the sweep area.
🔶 We’d love to hear your feedback and any suggestions for additional features you’d like to see in this indicator. We’ll be happy to consider your ideas and continue improving the indicator!
Advanced Session Profile Predictor with SR Boxes & ORAdvanced Session Profile Predictor with Momentum Arrows
Designed for intraday traders, this indicator analyzes price action across Asia, London, and New York sessions to predict market profiles and highlight key trading opportunities. By combining session-based profiling, Opening Range (OR) visualization, and momentum signals from Traders Dynamic Index (TDI), it offers a unique tool for anticipating trends, reversals, and breakouts. Ideal for forex, indices, and crypto on 15M–1H charts.
What Makes This Indicator Unique?
Unlike typical session indicators that only mark time zones or standard TDI scripts that focus on momentum, this tool:
Predicts market profiles (e.g., "Trend Continuation," "NY Manipulation") by analyzing session ranges and directional moves, offering actionable insights into how sessions interact.
Visualizes Opening Range (OR) boxes for the first 15 minutes of each session, helping traders spot early breakout levels.
Integrates TDI with momentum to generate precise bullish/bearish arrows, filtered by session context for improved reliability.
Simplifies decision-making with dynamic profile labels showing real-time long/short conditions based on price levels.
How Does It Work?
Session Tracking:
Asia (00:00–08:00 UTC, yellow), London (08:00–16:00 UTC, red), and New York (13:00–21:00 UTC, blue) sessions are highlighted with background colors and high/low lines (crosses).
OR boxes (first 15 minutes) are drawn for each session: yellow for Asia, red for London, blue for NY.
Profile Prediction:
Compares Asia and London session ranges and directions (e.g., trending if range > 1.5x 5-period SMA).
Examples:
Trend Continuation: Asia and London trend in the same direction—long above Asia high (uptrend) or short below Asia low (downtrend).
NY Manipulation: Asia trends, London consolidates—watch for NY breakouts at London high/low.
Displays the predicted profile and entry conditions in labels (e.g., "IF price hits 1.2000 LONG").
Momentum Arrows:
Uses TDI (RSI period 21, bands 34, fast MA 2) and 12-period momentum.
Green up arrow: Fast MA > upper band (>68) and momentum rising (bullish).
Red down arrow: Fast MA < lower band (<32) and momentum falling (bearish).
Support/Resistance (SR):
Plots dynamic SR boxes based on pivot highs/lows, filtered by volume (inspired by ChartPrime’s methodology, credited below).
How to Use It
Setup: Apply to a 15M–1H chart. Adjust time zone (default: UTC) and session times if needed. Customize TDI/momentum settings for sensitivity.
Trading:
Check the top-right labels for the current profile and entry conditions (e.g., "IF price hits LONG/SHORT").
Confirm entries with green up arrows (bullish) or red down arrows (bearish).
Use OR boxes and session high/low lines to identify breakout or reversal levels.
Example: In "NY Manipulation," wait for price to hit London high (long) or low (short) during NY session, confirmed by an arrow.
Best Markets: Forex (EUR/USD), indices (SPX500), crypto (BTC/USD) with sufficient intraday volatility.
Underlying Concepts
Session Profiling: Detects trends (range > SMA * threshold) and manipulation (e.g., London breaking Asia’s high/low) to predict NY behavior.
OR Boxes: Marks the first 15 minutes’ high/low as a breakout zone (time-based, 900,000 ms).
TDI + Momentum: Combines RSI-based bands with price change (close – close ) for momentum signals.
SR Boxes: Identifies pivots over a lookback period (default 20), scaled by ATR and filtered by volume thresholds.
Credits
The SR box logic is inspired by ChartPrime’s volume-filtered support/resistance methodology, adapted with custom breakout/hold detection. Original authors are credited for their foundational work.
Chart Setup
Displays session backgrounds, OR boxes, high/low lines, TDI arrows, and profile labels. Keep other indicators off for clarity.
Enhanced ROC - Savitzky–Golay [AIBitcoinTrend]👽 Adaptive ROC - Savitzky–Golay (AIBitcoinTrend)
The Adaptive ROC - Savitzky–Golay redefines traditional Rate of Change (ROC) analysis by integrating Savitzky–Golay smoothing with volatility-adaptive normalization, allowing it to dynamically adjust across different market conditions. Unlike the standard ROC, which reacts rigidly to price changes, this advanced version refines trend signals while maintaining responsiveness to volatility.
Additionally, this indicator features real-time divergence detection and an ATR-based trailing stop system, equipping traders with a powerful toolset for momentum analysis, reversals, and trend-following strategies.
👽 What Makes the Adaptive ROC - Savitzky–Golay Unique?
Unlike conventional ROC indicators, this enhanced version leverages volatility-adjusted scaling and Z-score normalization to improve signal consistency across different timeframes and assets.
✅ Savitzky–Golay Smoothing – Reduces noise while preserving trend structure for clearer signals.
✅ Volatility-Adaptive Normalization – Ensures that overbought and oversold thresholds remain consistent across different markets.
✅ Real-Time Divergence Detection – Identifies early bullish and bearish divergence signals for potential reversals.
✅ Crossovers & ATR-Based Trailing Stops – Implements intelligent trade management with dynamic stop levels.
👽 The Math Behind the Indicator
👾 Savitzky–Golay Smoothing
The indicator applies a Savitzky–Golay filter to the raw ROC data, creating a smoother curve while preserving key inflection points. This technique prevents excessive lag while maintaining the integrity of price movements.
sg_roc = (roc_raw + 3*roc_raw + 5*roc_raw + 7*roc_raw + 5*roc_raw + 3*roc_raw + roc_raw ) / 25
👾 Volatility-Adaptive Scaling
By dynamically adjusting the smoothed ROC using standard deviation, the indicator ensures that momentum readings remain relative to the market’s current volatility.
volatility = ta.stdev(close, rocLength)
dynamicFactor = 1 / (1 + volatility / 100)
advanced_sg_roc = sg_roc * dynamicFactor
👾 Z-Score Normalization
To maintain a stable Overbought/Oversold structure across different markets, the ROC is normalized using a Z-score transformation, ensuring its values remain statistically relevant.
rocMean = ta.wma(advanced_sg_roc, lenZ)
rocStdev = ta.stdev(advanced_sg_roc, lenZ)
zRoc = (advanced_sg_roc - rocMean) / rocStdev
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while the ROC forms a higher low.
A buy signal is confirmed when the ROC starts rising.
Bearish Divergence Setup:
Price makes a higher high, while the ROC forms a lower high.
A sell signal is confirmed when the ROC starts declining.
👾 Buy & Sell Signals with Trailing Stop
Bullish Setup:
✅ ROC crosses above the bullish trigger level → Buy Signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ ROC crosses below the bearish trigger level → Sell Signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Savitzky–Golay Filtering – Retains essential trend details while eliminating excessive noise.
Volatility-Adjusted Normalization – Makes overbought/oversold levels universally reliable across markets.
Real-Time Divergence Alerts – Identifies early reversal signals for optimal entries and exits.
ATR-Based Risk Management – Ensures stops dynamically adapt to market conditions.
Works Across Markets & Timeframes - Suitable for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
ROC Period – Defines the number of bars used for ROC calculation.
Smoothing Strength – Adjusts the degree of Savitzky–Golay filtering.
Volatility Scaling – Enables or disables the adaptive volatility factor.
Enable Divergence Analysis – Turns on real-time divergence detection.
Lookback Period – Specifies the pivot detection period for divergences.
Enable Crosses Signals – Activates trade signals based on ROC crossovers.
ATR Multiplier – Controls the sensitivity of the trailing stop.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
AI Adaptive Oscillator [PhenLabs]📊 Algorithmic Adaptive Oscillator
Version: PineScript™ v6
📌 Description
The AI Adaptive Oscillator is a sophisticated technical indicator that employs ensemble learning and adaptive weighting techniques to analyze market conditions. This innovative oscillator combines multiple traditional technical indicators through an AI-driven approach that continuously evaluates and adjusts component weights based on historical performance. By integrating statistical modeling with machine learning principles, the indicator adapts to changing market dynamics, providing traders with a responsive and reliable tool for market analysis.
🚀 Points of Innovation:
Ensemble learning framework with adaptive component weighting
Performance-based scoring system using directional accuracy
Dynamic volatility-adjusted smoothing mechanism
Intelligent signal filtering with cooldown and magnitude requirements
Signal confidence levels based on multi-factor analysis
🔧 Core Components
Ensemble Framework : Combines up to five technical indicators with performance-weighted integration
Adaptive Weighting : Continuous performance evaluation with automated weight adjustment
Volatility-Based Smoothing : Adapts sensitivity based on current market volatility
Pattern Recognition : Identifies potential reversal patterns with signal qualification criteria
Dynamic Visualization : Professional color schemes with gradient intensity representation
Signal Confidence : Three-tiered confidence assessment for trading signals
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-Component Ensemble : Integrates RSI, CCI, Stochastic, MACD, and Volume-weighted momentum
Performance Scoring : Evaluates each component based on directional prediction accuracy
Adaptive Smoothing : Automatically adjusts based on market volatility
Pattern Detection : Identifies potential reversal patterns in overbought/oversold conditions
Signal Filtering : Prevents excessive signals through cooldown periods and minimum change requirements
Confidence Assessment : Displays signal strength through intuitive confidence indicators (average, above average, excellent)
🎨 Visualization
Gradient-Filled Oscillator : Color intensity reflects strength of market movement
Clear Signal Markers : Distinct bullish and bearish pattern signals with confidence indicators
Range Visualization : Clean representation of oscillator values from -6 to 6
Zero Line : Clear demarcation between bullish and bearish territory
Customizable Colors : Color schemes that can be adjusted to match your chart style
Confidence Symbols : Intuitive display of signal confidence (no symbol, +, or ++) alongside direction markers
📖 Usage Guidelines
⚙️ Settings Guide
Color Settings
Bullish Color
Default: #2b62fa (Blue)
This setting controls the color representation for bullish movements in the oscillator. The color appears when the oscillator value is positive (above zero), with intensity indicating the strength of the bullish momentum. A brighter shade indicates stronger bullish pressure.
Bearish Color
Default: #ce9851 (Amber)
This setting determines the color representation for bearish movements in the oscillator. The color appears when the oscillator value is negative (below zero), with intensity reflecting the strength of the bearish momentum. A more saturated shade indicates stronger bearish pressure.
Signal Settings
Signal Cooldown (bars)
Default: 10
Range: 1-50
This parameter sets the minimum number of bars that must pass before a new signal of the same type can be generated. Higher values reduce signal frequency and help prevent overtrading during choppy market conditions. Lower values increase signal sensitivity but may generate more false positives.
Min Change For New Signal
Default: 1.5
Range: 0.5-3.0
This setting defines the minimum required change in oscillator value between consecutive signals of the same type. It ensures that new signals represent meaningful changes in market conditions rather than minor fluctuations. Higher values produce fewer but potentially higher-quality signals, while lower values increase signal frequency.
AI Core Settings
Base Length
Default: 14
Minimum: 2
This fundamental setting determines the primary calculation period for all technical components in the ensemble (RSI, CCI, Stochastic, etc.). It represents the lookback window for each component’s base calculation. Shorter periods create a more responsive but potentially noisier oscillator, while longer periods produce smoother signals with potential lag.
Adaptive Speed
Default: 0.1
Range: 0.01-0.3
Controls how quickly the oscillator adapts to new market conditions through its volatility-adjusted smoothing mechanism. Higher values make the oscillator more responsive to recent price action but potentially more erratic. Lower values create smoother transitions but may lag during rapid market changes. This parameter directly influences the indicator’s adaptiveness to market volatility.
Learning Lookback Period
Default: 150
Minimum: 10
Determines the historical data range used to evaluate each ensemble component’s performance and calculate adaptive weights. This setting controls how far back the AI “learns” from past performance to optimize current signals. Longer periods provide more stable weight distribution but may be slower to adapt to regime changes. Shorter periods adapt more quickly but may overreact to recent anomalies.
Ensemble Size
Default: 5
Range: 2-5
Specifies how many technical components to include in the ensemble calculation.
Understanding The Interaction Between Settings
Base Length and Learning Lookback : The base length determines the reactivity of individual components, while the lookback period determines how their weights are adjusted. These should be balanced according to your timeframe - shorter timeframes benefit from shorter base lengths, while the lookback should generally be 10-15 times the base length for optimal learning.
Adaptive Speed and Signal Cooldown : These settings control sensitivity from different angles. Increasing adaptive speed makes the oscillator more responsive, while reducing signal cooldown increases signal frequency. For conservative trading, keep adaptive speed low and cooldown high; for aggressive trading, do the opposite.
Ensemble Size and Min Change : Larger ensembles provide more stable signals, allowing for a lower minimum change threshold. Smaller ensembles might benefit from a higher threshold to filter out noise.
Understanding Signal Confidence Levels
The indicator provides three distinct confidence levels for both bullish and bearish signals:
Average Confidence (▲ or ▼) : Basic signal that meets the minimum pattern and filtering criteria. These signals indicate potential reversals but with moderate confidence in the prediction. Consider using these as initial alerts that may require additional confirmation.
Above Average Confidence (▲+ or ▼+) : Higher reliability signal with stronger underlying metrics. These signals demonstrate greater consensus among the ensemble components and/or stronger historical performance. They offer increased probability of successful reversals and can be traded with less additional confirmation.
Excellent Confidence (▲++ or ▼++) : Highest quality signals with exceptional underlying metrics. These signals show strong agreement across oscillator components, excellent historical performance, and optimal signal strength. These represent the indicator’s highest conviction trade opportunities and can be prioritized in your trading decisions.
Confidence assessment is calculated through a multi-factor analysis including:
Historical performance of ensemble components
Degree of agreement between different oscillator components
Relative strength of the signal compared to historical thresholds
✅ Best Use Cases:
Identify potential market reversals through oscillator extremes
Filter trade signals based on AI-evaluated component weights
Monitor changing market conditions through oscillator direction and intensity
Confirm trade signals from other indicators with adaptive ensemble validation
Detect early momentum shifts through pattern recognition
Prioritize trading opportunities based on signal confidence levels
Adjust position sizing according to signal confidence (larger for ++ signals, smaller for standard signals)
⚠️ Limitations
Requires sufficient historical data for accurate performance scoring
Ensemble weights may lag during dramatic market condition changes
Higher ensemble sizes require more computational resources
Performance evaluation quality depends on the learning lookback period length
Even high confidence signals should be considered within broader market context
💡 What Makes This Unique
Adaptive Intelligence : Continuously adjusts component weights based on actual performance
Ensemble Methodology : Combines strength of multiple indicators while minimizing individual weaknesses
Volatility-Adjusted Smoothing : Provides appropriate sensitivity across different market conditions
Performance-Based Learning : Utilizes historical accuracy to improve future predictions
Intelligent Signal Filtering : Reduces noise and false signals through sophisticated filtering criteria
Multi-Level Confidence Assessment : Delivers nuanced signal quality information for optimized trading decisions
🔬 How It Works
The indicator processes market data through five main components:
Ensemble Component Calculation :
Normalizes traditional indicators to consistent scale
Includes RSI, CCI, Stochastic, MACD, and volume components
Adapts based on the selected ensemble size
Performance Evaluation :
Analyzes directional accuracy of each component
Calculates continuous performance scores
Determines adaptive component weights
Oscillator Integration :
Combines weighted components into unified oscillator
Applies volatility-based adaptive smoothing
Scales final values to -6 to 6 range
Signal Generation :
Detects potential reversal patterns
Applies cooldown and magnitude filters
Generates clear visual markers for qualified signals
Confidence Assessment :
Evaluates component agreement, historical accuracy, and signal strength
Classifies signals into three confidence tiers (average, above average, excellent)
Displays intuitive confidence indicators (no symbol, +, ++) alongside direction markers
💡 Note:
The AI Adaptive Oscillator performs optimally when used with appropriate timeframe selection and complementary indicators. Its adaptive nature makes it particularly valuable during changing market conditions, where traditional fixed-weight indicators often lose effectiveness. The ensemble approach provides a more robust analysis by leveraging the collective intelligence of multiple technical methodologies. Pay special attention to the signal confidence indicators to optimize your trading decisions - excellent (++) signals often represent the most reliable trade opportunities.
Ehlers Instantaneous Trendline ATR LevelsOverview
This sophisticated technical analysis tool merges John Ehlers' cutting-edge Instantaneous Trendline methodology with a dynamic ATR-based bands system. The indicator is designed to provide traders with a comprehensive view of market trends while accounting for volatility, making it suitable for both trending and ranging markets. Works on all timeframes and chart types.
Key Features in Detail
1. Ehlers Instantaneous Trendline Implementation
- Advanced algorithm that reduces lag typically associated with moving averages
- Built-in volatility filtering system to minimize false signals
- Adaptive to market conditions through dynamic calculations
- Real-time trend direction identification
2. Multi-layered ATR Band System
- Hierarchical band structure with 18 total bands (9 upper, 9 lower)
- Color-coded visualization system:
Upper bands: Red gradient (darker = further from trendline)
Lower bands: Green gradient (darker = further from trendline)
Central trendline: Yellow for optimal visibility
- Customizable multipliers for each band level
- Independent visibility controls for each band
Configuration Options
Trendline Settings:
- Lower values: More responsive to price changes and faster reacting to break in ATR filter
- Higher values: Smoother trendline with less noise and slower reacting to break in ATR filter
ATR Configuration:
Period: Customizable from 1 to any positive integer
- Longer periods: More stable volatility measurement
- Shorter periods: More reactive to recent volatility changes
Filter Multiplier: Fine-tune volatility filtering
- Higher values: More filtered signals leading to less shift in bands
- Lower values: More sensitive to price movements leading to more band shifts
Practical Applications
1. Trend Analysis
Use the central trendline for primary trend direction
Monitor band crossovers for trend strength confirmation
Track price position relative to bands for trend context
2. Volatility Assessment
Band spacing indicates current market volatility
Width between bands helps identify consolidation vs. expansion phases
Price Extremes
3. Support and Resistance
Each band acts as a dynamic support/resistance level
Multiple timeframe analysis possible adjusting for different timeframe ATR
Liquidity Hunt SwiftEdgeThe "Liquidity Hunt Dashboard By SwiftEdge" indicator is designed to assist traders in identifying potential liquidity zones by placing a dynamic target line based on swing points and weighted liquidity. It leverages technical analysis tools such as SMA (Simple Moving Average), pivot points, and volume to predict market movements and provides daily statistics on hits and success rate. The target line updates automatically when the price hits it, adapting to the market trend (up, down, or neutral). A dashboard displays the current price, target level, prediction, and trend, making it easy to make informed trading decisions.
Features:
Target Line: A yellow dashed line marks the next expected liquidity level (up to approximately 20 pips away on 1m).
Prediction: Displays "Up (Chasing Sell Liquidity)," "Down (Chasing Buy Liquidity)," or "Neutral" based on trend and liquidity.
Daily Statistics: Tracks hits and success rate, resetting daily.
Trend Indicator: Shows market direction ("Up," "Down," or "Neutral") in the dashboard.
Dynamic Updates: The line moves to a new target level when the price hits the current target.
Recommended Settings for 1-Minute Timeframe:
For Indices (e.g., S&P 500):
Lookback Period: 180 (3 hours to capture more stable swing points).
Max Distance (%): 0.015 (approximately 15 pips, suitable for indices).
Cooldown Period: 5 (stabilizes after hits).
Line Duration: 60 (displays the line for 1 hour).
For Crypto (e.g., BTC/USD):
Lookback Period: 120 (2 hours to capture short-term swing points).
Max Distance (%): 0.024 (approximately 20 pips, suitable for volatile crypto markets).
Cooldown Period: 5.
Line Duration: 60.
For Forex (e.g., EUR/USD):
Lookback Period: 180 (3 hours for greater data density in less volatile markets).
Max Distance (%): 0.012 (approximately 10-12 pips, suitable for forex).
Cooldown Period: 5.
Line Duration: 60.
Guide for Higher Timeframes:
This indicator can be adapted for higher timeframes (e.g., 5m, 15m, 1H) by adjusting the settings to account for larger price movements and slower market dynamics. Follow these steps:
Select Your Timeframe: Switch your chart to the desired timeframe (e.g., 5m, 15m, or 1H).
Adjust Lookback Period: Increase the "Lookback Period" to cover a longer historical period. For example:
5m: Set to 360 (equivalent to 6 hours).
15m: Set to 480 (equivalent to 8 hours).
1H: Set to 720 (equivalent to 12 hours).
Adjust Max Distance (%): Higher timeframes require larger targets to account for bigger price swings. For example:
5m: Increase to 0.05 (approximately 50 pips).
15m: Increase to 0.1 (approximately 100 pips).
1H: Increase to 0.2 (approximately 200 pips).
Adjust Cooldown Period: On higher timeframes, you may want a longer cooldown to avoid frequent updates. For example:
5m: Set to 10.
15m: Set to 15.
1H: Set to 20.
Adjust Line Duration: Extend the duration the line is displayed to match the timeframe. For example:
5m: Set to 120 (equivalent to 10 hours).
15m: Set to 240 (equivalent to 60 hours).
1H: Set to 480 (equivalent to 20 days).
Monitor the Dashboard: The dashboard will still show the target level, prediction, and trend, but the values will now reflect the larger timeframe's dynamics.
Usage Instructions:
Set your chart to a 1-minute timeframe (or follow the higher timeframe guide).
Adjust the settings based on the market and timeframe (see recommendations above).
Monitor the dashboard for the current price, target level, and prediction.
Use the yellow line as a potential entry or exit level, and adjust your strategy based on the trend and statistics.
Notes:
This indicator is intended solely for educational and analytical purposes and should not be considered financial advice.
Test the indicator on a demo account before using it with real funds.
The indicator complies with TradingView guidelines by not providing trading advice, automated trading signals, or guarantees of profit.
Opening Lines (M15, H1 & H4) with Wickless Candle DetectorTailored for day traders, this technical analysis indicator serves as a multi-timeframe opening price visualization tool, displaying real-time and historical opening price levels across three distinct time intervals to enhance pattern identification and strategic decision-making. Additionally, the tool incorporates a ‘Wickless Candle Detector’ feature, which annotates candles that open without upper or lower wicks. Empirical observations suggest these wickless candles often act as future price magnets, particularly in index futures such as the Nasdaq and S&P500, making them critical reference points for market analysis.
Key Features:
1) Multi-Timeframe Opening Price Visualization:
◦ Plots horizontal reference lines for opening prices across:
✓ 15-minute (M15)
✓ 1-hour (H1)
✓ 4-hour (H4) timeframes
◦ Lines dynamically extend throughout their respective periods or can be configured to a fixed bar offset
2) Wickless Candle Detection:
◦ Automatically marks wickless candles with a discrete symbol at their opening price level
◦ Symbols are removed upon either:
✓ Price breaching the opening level by ≥1 tick
✓ A 24-hour expiration period (whichever occurs first)
3) Customization and Flexibility:
◦ Toggle visibility for individual timeframes, historical opening lines, and the Wickless Candle Detector
◦ Full customization of visual elements (colors, line styles, symbols) to align with user preferences or trading platform themes
SMA Trend Filter Oscillator (Adaptive)The "SMA Trend Filter Oscillator (Adaptive)" indicator is a technical analysis tool that helps traders determine the direction and strength of a trend based on an adaptive Simple Moving Average (SMA). The oscillator calculates the difference between the closing price and the SMA value, allowing for the visualization of price deviation from the average and the assessment of current market dynamics.
Key Features of the Indicator:
Adaptation to Time Frame: The indicator automatically adjusts the SMA length based on the current time frame, making it versatile for use across different time intervals. For example:
Monthly Time Frame: SMA with a length of 50.
Weekly Time Frame: SMA with a length of 40.
Daily Time Frame: SMA with a length of 20.
Hourly Time Frame: SMA with a length of 10.
Intraday Time Frames: SMA with a length of 5 (for time frames up to 15 minutes) or 7 (for others).
SMA-Based Oscillator: The oscillator is calculated as the difference between the closing price and the SMA value. This allows:
Bullish Trend Identification: When the oscillator is above zero (price is above SMA).
Bearish Trend Identification: When the oscillator is below zero (price is below SMA).
Visualization: The oscillator is displayed as a histogram, where:
Green Color indicates a bullish trend.
Red Color indicates a bearish trend.
The Zero Line (Gray) serves as a reference for trend reversal.
How to Use the Indicator:
Trend Identification: If the oscillator is above zero and colored green, it signals a bullish trend. If it is below zero and colored red, it indicates a bearish trend.
Trend Strength: The larger the oscillator value (in either direction), the stronger the trend. Small oscillator values (close to zero) may indicate sideways movement or weak trend.
Entry and Exit Points:
Buy: When the oscillator crosses the zero line from below to above (transition from red to green).
Sell: When the oscillator crosses the zero line from above to below (transition from green to red).
Signal Filtering: Use the indicator in combination with other technical analysis tools (e.g., RSI, MACD, or support/resistance levels) to confirm signals.
Advantages of the Indicator:
Adaptability: Automatic adjustment of SMA length to the current time frame makes it versatile.
Simplicity: Intuitive histogram visualization allows for quick assessment of market conditions.
Flexibility: Can be used on any market (stocks, forex, cryptocurrencies) and time frame.
Limitations:
Lag: Like any SMA-based indicator, it can lag due to the use of average values.
False Signals: In sideways markets (flat), the indicator may generate false signals.
Risk Management:
Always set stop-losses and take-profits to minimize losses.
Test the indicator on historical data before using it on a live account.
The "SMA Trend Filter Oscillator (Adaptive)" is a powerful tool for traders seeking to quickly evaluate trends and their strength. Its adaptability and simplicity make it suitable for both novice and experienced traders.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это инструмент технического анализа, который помогает трейдерам определять направление тренда и его силу на основе адаптивной скользящей средней (SMA). Осциллятор рассчитывает разницу между ценой закрытия и значением SMA, что позволяет визуализировать отклонение цены от среднего значения и оценивать текущую рыночную динамику.
Основные особенности индикатора:
Адаптация к таймфрейму
Индикатор автоматически подстраивает длину SMA в зависимости от текущего таймфрейма, что делает его универсальным для использования на различных временных интервалах. Например:
Месячный таймфрейм (Monthly): SMA с длиной 50.
Недельный таймфрейм (Weekly): SMA с длиной 40.
Дневной таймфрейм (Daily): SMA с длиной 20.
Часовой таймфрейм (Hourly): SMA с длиной 10.
Внутридневные таймфреймы (Intraday): SMA с длиной 5 (для таймфреймов до 15 минут) или 7 (для остальных).
Осциллятор на основе SMA
Осциллятор рассчитывается как разница между ценой закрытия и значением SMA. Это позволяет:
Определять бычий тренд, когда осциллятор выше нуля (цена выше SMA).
Определять медвежий тренд, когда осциллятор ниже нуля (цена ниже SMA).
Визуализация
Осциллятор отображается в виде гистограммы, где:
Зелёный цвет указывает на бычий тренд.
Красный цвет указывает на медвежий тренд.
Линия нуля (серая) служит ориентиром для определения смены тренда.
Как использовать индикатор:
Определение тренда
Если осциллятор находится выше нуля и окрашен в зелёный цвет, это сигнализирует о бычьем тренде.
Если осциллятор находится ниже нуля и окрашен в красный цвет, это указывает на медвежий тренд.
Сила тренда
Чем больше значение осциллятора (в положительную или отрицательную сторону), тем сильнее тренд.
Небольшие значения осциллятора (близкие к нулю) могут указывать на боковое движение или слабость тренда.
Точки входа и выхода
Покупка (Buy): Когда осциллятор пересекает нулевую линию снизу вверх (переход из красной зоны в зелёную).
Продажа (Sell): Когда осциллятор пересекает нулевую линию сверху вниз (переход из зелёной зоны в красную).
Фильтрация сигналов
Используйте индикатор в сочетании с другими инструментами технического анализа (например, RSI, MACD или уровнями поддержки/сопротивления) для подтверждения сигналов.
Преимущества индикатора:
Адаптивность: Автоматическая настройка длины SMA под текущий таймфрейм делает индикатор универсальным.
Простота: Интуитивно понятная визуализация в виде гистограммы позволяет быстро оценить рыночную ситуацию.
Гибкость: Может использоваться на любых рынках (акции, форекс, криптовалюты) и таймфреймах.
Ограничения:
Запаздывание: Как и любой индикатор на основе SMA, он может запаздывать из-за использования средних значений.
Ложные сигналы: В условиях бокового движения (флэта) индикатор может генерировать ложные сигналы.
Управление рисками: Всегда устанавливайте стоп-лоссы и тейк-профиты, чтобы минимизировать потери.
Тестирование: Перед использованием на реальном счёте протестируйте индикатор на исторических данных.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это мощный инструмент для трейдеров, которые хотят быстро оценить тренд и его силу. Его адаптивность и простота делают его подходящим как для начинающих, так и для опытных трейдеров
Crypto Fear/Greed IndexBINANCE:BTCUSDT BITSTAMP:BTCUSD # Crypto Fear/Greed Index
## English Description
This indicator measures market sentiment in the cryptocurrency market, specifically designed to gauge whether the market is in a state of fear or greed. By analyzing multiple factors across Bitcoin and the broader crypto ecosystem, it provides traders with a comprehensive view of market psychology.
### Key Features:
- Analyzes Bitcoin's relationship with key moving averages (200, 100, 50, and 20-day)
- Incorporates Bitcoin and Ethereum RSI values across different timeframes
- Considers Bitcoin market dominance to evaluate altcoin cycles
- Monitors stablecoin market cap changes as a risk indicator
- Tracks overall crypto market health through total market capitalization
- Factors in Bitcoin volatility and perpetual futures funding rates
- Provides clear visual buy (🔵) and sell (🔴) signals at extreme readings
- Includes customizable lookback period and smoothing parameters
### How to Use:
- Values range from 0 (Extreme Fear) to 100 (Extreme Greed)
- Buy signals (🔵) appear when the index crosses below 20, indicating potential oversold conditions
- Sell signals (🔴) appear when the index crosses above 80, indicating potential overbought conditions
- Utilize the indicator as part of a comprehensive trading strategy, not as a standalone tool
This indicator helps traders identify potential market turning points by measuring when the market sentiment reaches extremes. Remember Warren Buffett's advice: "Be fearful when others are greedy, and greedy when others are fearful."
## 日本語の説明
このインジケーターは、暗号通貨市場の感情を測定し、市場が恐怖状態にあるか強欲状態にあるかを判断するために特別に設計されています。ビットコインと広範な暗号通貨エコシステムにわたる複数の要因を分析することで、トレーダーに市場心理の包括的な見方を提供します。
### 主な特徴：
- ビットコインと主要な移動平均線（200日、100日、50日、20日）の関係を分析
- 異なる時間枠でビットコインとイーサリアムのRSI値を組み込み
- アルトコインのサイクルを評価するためにビットコインの市場支配率を考慮
- リスク指標としてステーブルコインの時価総額の変化を監視
- 総時価総額を通じて暗号通貨市場全体の健全性を追跡
- ビットコインのボラティリティと無期限先物の資金調達率を考慮
- 極端な値における明確な買い（🔵）と売り（🔴）のシグナルを提供
- カスタマイズ可能な振り返り期間と平滑化パラメータを含む
### 使用方法：
- 値は0（極度の恐怖）から100（極度の強欲）の範囲
- インデックスが20を下回ると買いシグナル（🔵）が表示され、潜在的な売られ過ぎの状態を示します
- インデックスが80を上回ると売りシグナル（🔴）が表示され、潜在的な買われ過ぎの状態を示します
- 単独のツールとしてではなく、包括的な取引戦略の一部としてこのインジケーターを活用してください
このインジケーターは、市場感情が極端に達したときに潜在的な市場の転換点を識別するのに役立ちます。ウォーレン・バフェットの助言を覚えておいてください
「他人が強欲なときに恐れ、他人が恐れているときに強欲になれ」
Multi-Timeframe Trend Table - DOTANMulti Timeframe Trend Signal table - Wizord_KS
"Multi-Timeframe Trend Table"
This Pine Script indicator displays a table on the TradingView chart that shows the trend direction (Bullish/Bearish) across multiple timeframes. The trend is determined using a Simple Moving Average (SMA).
🔹 Key Features of the Script
Calculates trend direction based on SMA for:
The current timeframe.
10 different user-defined timeframes.
Determines a "Main Signal" based on trend strength:
Counts the number of bullish and bearish trends across all timeframes.
Uses this count to generate an overall market sentiment (Bullish, Bearish, or Neutral).
The strength of the main signal determines its background transparency.
Displays a table in the top-right corner of the chart showing:
The main trend signal (aggregated from multiple timeframes).
The trend for the current timeframe.
The trend for each of the 10 selected timeframes.
Ichimoku Cloud SmoothedThis smoothed version of the Ichimoku Cloud uses exponential moving averages (EMAs) of the HL2 price (average of high and low) for calculations rather than the traditional high-low calculation method. This simple modification creates a smoother, more responsive Ichimoku Cloud that reduces noise while enhancing trend identification.
Cryptogenik's Inflation-Adjusted Candles v2025Inflation-Adjusted Price Indicator by Cryptogenik
This indicator adjusts price data for inflation, allowing you to visualize how stock/asset prices would look with constant purchasing power. By using Consumer Price Index (CPI) data from FRED, it transforms nominal prices into inflation-adjusted values that reflect real-world purchasing power.
What This Indicator Does
The Inflation-Adjusted Price indicator converts traditional price charts to show what prices would be if the purchasing power of currency remained constant. This is essential for long-term analysis, as it removes the distortion caused by inflation when comparing prices across different time periods.
Key Features
Displays inflation-adjusted price candles alongside original prices
Uses official CPI data from the Federal Reserve (FRED:CPIAUCSL)
Allows easy comparison between nominal and real prices
Helps identify true price movements by filtering out the effects of inflation
Perfect for long-term investors and macroeconomic analysis
How To Use It
Apply the indicator to any chart
Green/red candles show the inflation-adjusted prices
Gray line shows the original unadjusted price
The information label displays the current CPI value
This indicator is particularly valuable for analyzing stocks, commodities, and other assets over periods of 5+ years, where inflation effects become significant. It helps answer the question: "Has this asset truly increased in value, or is the price increase just reflecting inflation?"
Technical Details
The indicator calculates adjusted prices using the formula: (price / CPI) * 100, which effectively shows prices as a percentage of current purchasing power. This approach normalizes all prices to a consistent standard, making historical comparisons more meaningful.
Cryptogenik's Inflation-Adjusted Candles v2025
Opening Lines (M15, H1 & H4) with Wickless Candle DetectorTailored for day traders, this technical analysis indicator serves as a multi-timeframe opening price visualization tool, displaying real-time and historical opening price levels across three distinct time intervals to enhance pattern identification and strategic decision-making. Additionally, the tool incorporates a ‘Wickless Candle Detector’ feature, which annotates candles that open without upper or lower wicks. Empirical observations suggest these wickless candles often act as future price magnets, particularly in index futures such as the Nasdaq and S&P500, making them critical reference points for market analysis.
Key Features:
1) Multi-Timeframe Opening Price Visualization:
◦ Plots horizontal reference lines for opening prices across:
▪ 15-minute (M15)
▪ 1-hour (H1)
▪ 4-hour (H4) timeframes
◦ Lines dynamically extend throughout their respective periods or can be configured to a fixed bar offset
2) Wickless Candle Detection System:
◦ Automatically marks wickless candles with a discrete symbol at their opening price level
◦ Symbols are removed upon either:
▪ Price breaching the opening level by ≥1 tick
▪ A 24-hour expiration period (whichever occurs first)
3) Customization and Flexibility:
◦ Toggle visibility for individual timeframes, historical opening lines, and the Wickless Candle Detector
◦ Full customization of visual elements (colors, line styles, symbols) to align with user preferences or trading platform themes
Previous Day LevelsThis indicator plots the previous day's high, low, and 50% levels, providing a framework for analyzing price behavior relative to these key levels.
Full Description:
The Previous Day Levels indicator is a tool designed to help traders analyze price action based on key levels from the previous trading session. By plotting the high, low, and mid-point (50%) of the prior day’s range, traders can assess potential market bias and directional tendencies for the current trading day.
Key Features:
Plots the previous day’s high (100%), low (0%), and intermediate levels (25%, 50%, 75%).
Allows users to customize line visibility, color, style, and width.
Helps traders identify potential support and resistance zones.
Provides a bias framework for determining whether price is more likely to target the previous high or low based on behavior around the 50% level.
Use Case:
This indicator is particularly useful for intraday and short-term traders who incorporate price action into their strategy.
If price trades above the 50% level and holds, it suggests a bullish bias, indicating that price may aim for the previous day's high.
If price trades below the 50% level and holds, it suggests a bearish bias, indicating that price may aim for the previous day's low.
The high and low levels can act as key support and resistance zones, where price may react or reverse.
How to Use:
Apply the indicator to your chart.
Observe how price interacts with the 50% level.
Use price behavior around these levels to establish a directional bias.
Adjust the line styles and colors to match your personal preference.
Disclaimer:
This indicator is a tool for market analysis and does not provide financial advice. Always perform your own analysis and risk management when trading.
OrangeCandle Multi-Wave Trend AnalyzerThis script, titled "OrangeCandle Multi-Wave Trend Analyzer", combines three widely used technical analysis indicators to help traders analyze trends, overbought/oversold conditions, and volume. Below is a breakdown of the components of this multi-indicator system:
1. Elliott Wave Oscillator (EWO):
Purpose: To measure the strength of the trend by comparing two simple moving averages (SMAs) of different lengths.
Parameters:
SMA Short: The shorter SMA (default length is 5).
SMA Long: The longer SMA (default length is 35).
Show Dif as Percent: Option to display the difference as a percentage of the current candle.
Calculation:
The difference between the short-term SMA and the long-term SMA is plotted as a histogram.
If the result is positive, the plot is green (indicating upward momentum), and if it's negative, the plot is red (indicating downward momentum).
Plot: A histogram representing the difference between the two SMAs, indicating trend strength.
2. WaveTrend Indicator:
Purpose: To detect overbought and oversold conditions in the market.
Parameters:
WT Channel Length: The length for the calculation of the WaveTrend channel (default is 10).
WT Average Length: The length for the WaveTrend smoothing (default is 21).
Calculation:
The script uses a series of exponential moving averages (EMAs) and absolute deviations to calculate the WaveTrend values.
WT1 and WT2 are calculated with different smoothing factors to create a channel.
WaveTrend Diff (the difference between WT1 and WT2) is also plotted as an area chart.
Crosses: When WT1 crosses above WT2, it’s a potential buy signal (represented by a black circle on the plot). When WT1 crosses below WT2, it’s a potential sell signal.
Bar Colors: The bars on the chart change color to indicate bullish (aqua) or bearish (yellow) momentum when a crossover occurs.
Plot:
WT1 and WT2 are plotted as lines.
The difference between WT1 and WT2 is plotted as an area chart.
A black circle marks the crossovers.
3. Volume-Supported Linear Regression Trend:
Purpose: To analyze the trend of price and volume by comparing short-term and long-term slopes.
Parameters:
Short-Term Length: Length of the short-term trend (default is 20).
Long-Term Length: Length of the long-term trend (default is 50).
Calculation:
Slope Price: Measures the linear regression of the price for both short-term and long-term periods.
Slope Volume: Calculates the linear regression of volume based on buying and selling volume, considering whether the price is closing up or down.
Trend Detection: The script calculates the slope of the price and volume for both short and long periods, with positive slopes indicating an uptrend and negative slopes indicating a downtrend.
Plot:
Short-Term Trend: Plots a green/red column for short-term price trends, where green indicates upward momentum and red indicates downward momentum.
Long-Term Trend: Plots a blue/orange line for long-term price trends, with blue indicating an uptrend and orange indicating a downtrend.
Summary:
This script provides a multi-faceted analysis tool by combining the following:
Elliott Wave Oscillator (EWO): Measures trend strength based on short-term and long-term SMAs.
WaveTrend Indicator: Identifies overbought and oversold conditions, with buy and sell signals indicated by crossovers of WT1 and WT2.
Volume-Supported Linear Regression Trend: Analyzes the trend direction of price and volume for both short-term and long-term periods.
Visualization:
The EWO is shown as a histogram that shifts color based on trend direction.
The WaveTrend Indicator is represented with two lines (WT1 and WT2), an area chart for the difference, and visual signals for crossovers.
The Volume-Supported Linear Regression Trend shows short-term and long-term price trends with colored bars for short-term trends and lines for long-term trends.
This indicator is designed to help traders identify trends, overbought/oversold conditions, and volume-driven price movements, providing a comprehensive view of the market.
Gann Swing**Title:** Gann Swing
**Short Name:** Gann Swing
**Description:**
Gann Swing is an indicator based on the principles of swing analysis using William Gann’s method. It is designed to identify key reversal points on the chart, helping traders determine trend movements and potential price reversal zones.
The indicator provides three layers (Layer 1, Layer 2, Layer 3), each displaying different levels of swings, allowing for multi-timeframe market analysis. Users can customize colors, line thickness, and styles for each layer, as well as enable or disable additional elements.
**Key Features:**
- Displays three levels of swings (primary and secondary for each layer).
- Flexible settings for color, thickness, and line style.
- Identifies potential reversal points.
- Adjustable layer visibility for convenient analysis.
**How to Use:**
1. Add the indicator to the chart.
2. Enable/disable the necessary layers (Layer 1, Layer 2, Layer 3) in the settings.
3. Customize colors, styles, and line thickness for better visualization.
4. Analyze price swings and identify key support and resistance levels.
**Disclaimer:**
The Gann Swing indicator is intended for technical analysis and does not provide trading signals. It is recommended to use it in combination with other tools and analytical methods before making trading decisions.
**Название:** Gann Swing
**Краткое название:** Gann Swing
**Описание:**
Gann Swing - индикатор, основанный на принципах анализа колебаний (свингов) по методу Уильяма Ганна. Он предназначен для выявления ключевых точек разворота на графике, помогая трейдерам определять трендовые движения и потенциальные зоны смены направления цены.
Индикатор предоставляет три слоя (Layer 1, Layer 2, Layer 3), каждый из которых отображает различные уровни колебаний, что позволяет анализировать рынок на нескольких временных горизонтах одновременно. Пользователь может настроить цвета, толщину и стиль линий для каждого слоя, а также включать или отключать дополнительные элементы.
**Основные функции:**
- Отображение трех уровней свингов (основной и вторичный для каждого слоя).
- Гибкие настройки цвета, толщины и стиля линий.
- Выявление точек возможного разворота.
- Возможность настройки видимости отдельных слоев для удобства анализа.
**Как использовать:**
1. Добавьте индикатор на график.
2. Включите/отключите нужные слои (Layer 1, Layer 2, Layer 3) в настройках.
3. Настройте цвет, стиль и толщину линий для лучшей визуализации.
4. Анализируйте колебания цены и выявляйте ключевые уровни поддержки и сопротивления.
**Предупреждение:**
Индикатор Gann Swing предназначен для технического анализа и не является торговым сигналом. Рекомендуется использовать его в сочетании с другими инструментами и методами анализа перед принятием торговых решений.
HTF Candlestick (Enes)This TradingView indicator displays a candlestick from a higher timeframe (HTF) directly within the current chart. It allows traders to visualize price action on a larger timeframe without switching charts.
Features:
✅ Customizable Timeframe: Select your desired HTF (e.g., 1D, 4H) via input.
✅ Adjustable Colors: Customize the colors for bullish and bearish candles.
✅ Real-Time Updates: The HTF candle automatically updates with each new period.
✅ Enhanced Visualization: Wick, open/close levels, and guide lines for better clarity.
Perfect for traders who want to track higher timeframe trends while trading on lower timeframes. 🚀
Mushir's Inside Candle IndicatorThis indicator detects inside candle formations on the chart’s current timeframe. It highlights when a candle’s range is fully engulfed by the previous candle’s range, provided the previous candle meets specific criteria.
How It Works ?
It shows the formation of inside candle on the charts to help in find trades.
Mother Candle Validation
The previous candle must be a “leg candle” with a strong body and minimal wicks relative to its body size, ensuring a robust structure.
Inside Candle Detection
The current candle qualifies as an inside candle if:
Its high is ≤ the previous candle’s high.
Its low is ≥ the previous candle’s low.
Why Use This Indicator?
Adapts to the chart’s current timeframe—no manual adjustments needed.
Easily gives you the identification of inside candles
Minimalistic Design
Better results in trending market
How to use it?
- when the inside candle is formed there are certain conditions:
1. if the next candle first crosses the high of inside candle, look for a potential buy trade with RR as 2:1 while stoploss being just below the low of inside candle.
2. if the next candle first crosses the low of inside candle, look for a potential sell trade with RR as 2:1 while stoploss being just above the high of inside candle.
3. if 2:1 is achieved, then increase the partial target to 3:1 while bringing the stoploss to the entry point.
4. if the high is crossed first and then the low is crossed or vice versa then the trade is invalidated.
Happy Trading!
