Liquidity Location Detector [BigBeluga]
This indicator helps traders identify potential liquidity zones by detecting significant volume levels at key highs and lows. By using color intensity and scoring numbers, it visually highlights areas where liquidity concentration may be highest while incorporating trend analysis through EMAs.
🔵Key Features:
Liquidity Zone Detection: Automatically detects and marks areas where significant volume has accumulated at swing highs and lows.
Dynamic Box Plotting: Draws liquidity boxes at key highs and lows, updating based on market conditions.
Volume Strength Scaling: Uses a scoring system to rank liquidity zones, helping traders identify the strongest areas.
Color Intensity for Volume Strength: More transperent color indicate less liquidity, while less transperent represent stronger volume concentrations.
Customizable Display: Users can adjust the number of displayed liquidity zones and modify colors to suit their trading style.
Real-Time Liquidity Adaptation: As price interacts with liquidity zones, the indicator updates dynamically to reflect changing market conditions.
Auto-Stopping Liquidity Zones: Liquidity boxes automatically stop extending to the right once price crosses them, preventing outdated zones from interfering with live market action.
Trend Analysis with EMAs: Includes two optional EMAs (fast and slow) to help traders analyze market trends. Users can enable or disable these EMAs in the settings and use crossover signals for trend confirmation.
🔵Usage:
Identify Key Liquidity Areas: Use color intensity and transparency levels to determine high-impact liquidity zones.
Support & Resistance Confirmation: Liquidity zones can act as potential support and resistance levels, enhancing trade decision-making.
Market Structure Analysis: Observe how price interacts with liquidity to anticipate breakout or reversal points.
Scalping & Swing Trading: Works for both short-term and long-term traders looking for liquidity-based trade setups.
Liquidation Map Insight: A liquidity map highlights areas where large amounts of leveraged positions (both long and short) are likely to get liquidated. Since many traders use leverage, sharp price movements can trigger a cascade of liquidations, leading to rapid price surges or drops. Monitoring these liquidity zones and trends helps traders anticipate where price might react strongly.
Liquidity Location Detector is an essential tool for traders seeking to map out potential liquidity zones, providing deeper insights into market structure and trading volume dynamics.
Komut dosyalarını "trendline" için ara
Triangular Hull Moving Average + Volatility [BigBeluga]This indicator combines the Triangular Hull Moving Average (THMA) with a volatility overlay to provide a smoother trend-following tool while dynamically visualizing market volatility.
🔵 Key Features:
THMA-Based Trend Detection: The indicator applies a Triangular Hull Moving Average (THMA) to smooth price data, reducing lag while maintaining responsiveness to trend changes.
// THMA
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
Dynamic Volatility Bands: When enabled, the indicator displays wicks extending from the THMA-based candles. These bands expand and contract based on price volatility.
Trend Reversal Signals The indicator marks trend shifts using triangle-shaped signals:
- Upward triangles appear when the THMA trend shifts to bullish.
- Downward triangles appear when the THMA trend shifts to bearish.
Customizable Settings: Users can adjust the THMA length, volatility calculation period, and colors for up/down trends to fit their trading style.
Informative Dashboard: The bottom-right corner displays the current trend direction and volatility percentage, helping traders quickly assess market conditions.
🔵 Usage:
Trend Trading: The colored candles indicate whether the market is trending up or down. Traders can follow the trend direction and use trend reversals for entry or exit points.
Volatility Monitoring: When the volatility feature is enabled, the expanding or contracting wicks help visualize market momentum and potential breakout strength.
Signal Confirmation: The triangle signals can be used to confirm potential entry points when the trend shifts.
This tool is ideal for traders who want a responsive moving average with volatility insights to enhance their trend-following strategies.
Market Trend Levels Detector [BigBeluga]Market Trend Levels Detector is an trend-following tool that utilizes moving average crossovers to identify key market trend levels. By detecting local highs and lows after EMA crossovers, the indicator helps traders track significant price zones and trend strength.
🔵 Key Features:
EMA Crossover-Based Trend Levels Detection:
Uses a fast and slow EMA to detect market flow shifts.
When the fast EMA crosses under the slow EMA, the indicator searches for the most recent local top and marks it with a label and horizontal level.
When the fast EMA crosses over the slow EMA, it searches for the most recent local low and marks it accordingly.
Dynamic Zone Levels:
Each detected high or low is plotted as a horizontal level, highlighting important price zones.
Traders can extend these levels to observe how price interacts with them over time.
If price crosses a level, its extension stops. Uncrossed levels continue expanding.
Gradient Trend Band Visualization:
The trend band is formed by shading the area between the two EMAs.
Color intensity varies based on volatility and trend strength.
Strong trends and high volatility areas appear with more intense colors, making trend shifts visually distinct.
🔵 Usage:
Trend Identification: Use EMA crossovers and trend bands to confirm bullish or bearish momentum.
Key Zone Mapping: Observe local high/low levels to track historical reaction points.
Breakout & Rejection Signals: Monitor price interactions with extended levels to assess potential breakouts or reversals.
Volatility Strength Analysis: Use color intensity in the trend band to gauge trend power and possible exhaustion points.
Scalping & Swing Trading: Ideal for both short-term scalping strategies and larger swing trade setups.
Market Trend Levels Detector is a must-have tool for traders looking to track market flow, key price levels, and trend momentum with dynamic visual cues. It provides a comprehensive approach to identifying high-probability trade setups using EMA-based flow detection and trend analysis.
Dynamic Trend & Levels by VikOpineThis indicator combines the best aspects of trend-following, volume and price action to help traders make informed decisions and can be used with other indicators for confluence. 🚀
Key Features and Concepts:
Volume-Weighted Moving Average (VWMA):
Unlike a simple moving average, the VWMA gives more weight to price action with higher volume, helping traders identify strong trends backed by significant market participation.
It helps distinguish between low-volume price fluctuations and meaningful market moves.
Volume-Weighted Average Price (VWAP):
Used by institutional traders, VWAP serves as a benchmark to gauge whether the current price is overbought or oversold relative to the average price weighted by volume.
The indicator tracks VWAP levels dynamically, offering insights into price reversion opportunities and breakout confirmations.
Fibonacci Levels (Dynamic Support & Resistance):
The script dynamically plots Fibonacci retracement and extension levels based on recent price swings, allowing traders to identify potential reversal and continuation zones. These levels change colors individually based on them becoming support or resistance.
Fibonacci levels help in setting stop-loss levels and profit targets based on natural market cycles.
Ichimoku Cloud (Trend Confirmation & Market Sentiment):
Provides a multi-dimensional view of trend strength, momentum, and potential reversals.
The Kumo (cloud) helps traders identify support and resistance zones, while the Tenkan-Sen and Kijun-Sen lines confirm trend direction. I prefer to remove the lines and only keep the clouds to anticipate upcoming trend.
How the Indicator Works:
The script dynamically calculates and overlays VWMA and VWAP to give a clear view of volume-backed trends.
Fibonacci levels are recalculated based on recent swing highs and lows, ensuring they remain relevant to current price action. This feature avoids to re-draw Fibs manually.
The Ichimoku Cloud adjusts in real-time to provide trend and momentum signals.
The session volume profile updates dynamically to highlight high-liquidity zones and potential breakout areas.
Alerts can be set up in Tradingview allowing traders to know the price action in real time.
How to Use This Indicator in Trading:
Trend Confirmation: Use VWMA, VWAP, and the Ichimoku Cloud to determine the prevailing trend and avoid trading against market momentum. Go with the trend.
Reversals: Look at the dynamic Fibonacci levels to find key support and resistance areas where price may reverse or consolidate. These levels change color as they become support or resistance.
Breakout & Continuation Trading: Monitor VWAP deviations and Ichimoku signals to identify strong trend continuation setups.
Mean Reversion: Use VWAP re-tests to spot potential pullback entries in established trends.
Alerts: Customize alerts to stay ahead of market moves.
Take advantage of paper trading feature available in Tradingview to familiarize yourself with this indicator. Experience is the best teacher as in any other case.
Ideal for:
✅ Traders looking to capitalize on VWAP trend and level.
✅ Traders utilizing Fibonacci levels and Ichimoku trends for structured trades.
✅ Scalpers leveraging levels and trends for quick entries/exits.
✅ Traders who rely on volume-backed trend confirmations.
No indicator is perfect so take everything with a pinch of salt.
Drop a comment below with your feedback or if you have any question.
Volume Profile With HVN & LVN detectorVolume Profile Indicator
Based on the works of tradeforopp
Overview
The Volume Profile Indicator is a powerful technical analysis tool that visually represents the distribution of trading volume over price levels within a specified timeframe. It helps traders identify key support and resistance zones, high-volume trading areas, and low-volume rejection zones. The indicator includes customizable settings for Volume Point of Control (VPOC), High Volume Nodes (HVNs), and Low Volume Nodes (LVNs), making it a versatile tool for price action analysis and volume-based decision-making.
Key Features
🔹 Customizable Volume Profile
Adjustable number of rows to define the resolution of the volume profile.
Configurable timeframe aggregation for profile calculation (e.g., Daily, Weekly).
Selectable price resolution timeframe for precise profile construction.
Extendable volume profile for future sessions.
Fully customizable profile color and transparency settings.
🔹 Volume Point of Control (VPOC)
Displays the most traded price level within the selected timeframe.
Option to extend multiple VPOCs across the chart.
Adjustable VPOC line width and color customization.
Option to display VPOC labels when working with higher timeframe profiles.
🔹 High Volume Nodes (HVNs)
Identifies high-volume price levels where significant trading activity has occurred.
Configurable HVN strength to adjust detection sensitivity.
Two display modes:
Lines: Plots HVN levels as horizontal lines.
Areas: Highlights HVN regions with colored boxes.
Separate bullish and bearish HVN color settings.
🔹 Low Volume Nodes (LVNs)
Identifies low-volume price levels, which often act as rejection zones.
Configurable LVN strength to fine-tune detection.
Two display modes:
Lines: Marks LVN levels as horizontal lines.
Areas: Highlights LVN regions with shaded boxes.
Separate bullish and bearish LVN color settings.
🔹 Optimized for Performance
Efficient use of arrays for data storage and retrieval.
Global functions for HVN and LVN detection.
Uses security calls to access lower timeframe price and volume data.
Use Cases
✅ Identify Support & Resistance Levels
The indicator highlights key price levels where significant buying or selling interest exists.
✅ Detect Breakout & Reversal Zones
Low-volume areas (LVNs) often indicate price rejection zones, while high-volume areas (HVNs) suggest strong price acceptance zones.
✅ Improve Trade Entries & Exits
Traders can use the Volume Point of Control (VPOC) and volume clusters to refine entry and exit points.
✅ Enhance Price Action Strategies
By incorporating volume-based analysis, this indicator provides deeper market insights beyond traditional support/resistance and trendlines.
Customization & Settings
📌 Volume Profile Settings:
Rows: Defines the granularity of the volume profile.
Profile Timeframe: Specifies the aggregation period (e.g., Daily, Weekly).
Resolution Timeframe: Determines the price resolution for volume analysis.
Profile Extend %: Controls how much the profile extends into the next session.
📌 Volume Point of Control (VPOC):
Enable/Disable VPOC visualization.
Extend past VPOC levels to the right.
Display VPOC labels for higher timeframe profiles.
Adjustable VPOC line width and color.
📌 High Volume Nodes (HVNs):
Enable/Disable HVN detection.
Define HVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish HVN colors.
📌 Low Volume Nodes (LVNs):
Enable/Disable LVN detection.
Define LVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish LVN colors.
Smart Money Index + True Strength IndexThe Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes.
Main Components:
Smart Money Index (SMI):
The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend.
True Strength Index (TSI):
The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction.
Parameters:
SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14.
SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0.
Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25.
Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13.
TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25.
Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25.
Logic of operation:
SMI calculation:
First, the difference between the closing and opening price of each candle (close - open) is calculated.
This difference is then multiplied by the trading volume.
The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength).
Calculation of TSI:
The price change relative to the previous bar is calculated (close - close ).
The first EMA with the length tsiLength1 is applied.
Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value.
The absolute value of price changes is calculated in the same way, and two emas are also applied.
The final TSI index is calculated as the ratio of these two values multiplied by 100.
Graphical representation:
The SMI and TSI lines are plotted on the graph along with their respective thresholds.
For SMI, the line is drawn in orange, and the threshold level is dotted in gray.
For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively.
Conditions for buy/sell signals:
A buy (long) signal is generated when:
SMI is greater than the threshold (smi > smiThreshold)
TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)).
A sell (short) signal is generated when:
SMI is less than the threshold (smi < smiThreshold)
TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)).
Signal display:
When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart.
The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red.
Notification generation:
The indicator also supports notifications via the TradingView platform. Notifications are sent when conditions arise for a long or short position.
This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts📖 Overview
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts is a powerful adaptive moving average indicator designed to capture market trends dynamically. Unlike traditional moving averages (e.g., SMA, EMA, WMA), this indicator incorporates volatility-based trend detection, Bollinger Bands, ADX, and RSI, offering a comprehensive view of market conditions.
The MLMA is "machine learning-inspired" because it adapts dynamically to market conditions using ATR-based windowing and integrates multiple trend strength indicators (ADX, RSI, and volatility bands) to provide an intelligent moving average calculation that learns from recent price action rather than being static.
🛠 How It Works
1️⃣ Adaptive Moving Average Selection
The MLMA automatically selects one of four different moving averages:
📊 EMA (Exponential Moving Average) – Reacts quickly to price changes.
🔵 HMA (Hull Moving Average) – Smooth and fast, reducing lag.
🟡 WMA (Weighted Moving Average) – Gives recent prices more importance.
🔴 VWAP (Volume Weighted Average Price) – Accounts for volume impact.
The user can select which moving average type to use, making the indicator customizable based on their strategy.
2️⃣ Dynamic Trend Detection
ATR-Based Adaptive Window 📏
The Average True Range (ATR) determines the window size dynamically.
When volatility is high, the moving average window expands, making the MLMA more stable.
When volatility is low, the window shrinks, making the MLMA more responsive.
Trend Strength Filters 📊
ADX (Average Directional Index) > 25 → Indicates a strong trend.
RSI (Relative Strength Index) > 70 or < 30 → Identifies overbought/oversold conditions.
Price Position Relative to Upper/Lower Bands → Determines bullish vs. bearish momentum.
3️⃣ Volatility Bands & Dynamic Support/Resistance
Bollinger Bands (BB) 📉
Uses standard deviation-based bands around the MLMA to detect overbought and oversold zones.
Upper Band = Resistance, Lower Band = Support.
Helps traders identify breakout potential.
Adaptive Trend Bands 🔵🔴
The MLMA has built-in trend envelopes.
When price breaks the upper band, bullish momentum is confirmed.
When price breaks the lower band, bearish momentum is confirmed.
4️⃣ Visual Enhancements
Dynamic Gradient Fills 🌈
The trend strength (ADX-based) determines the gradient intensity.
Stronger trends = More vivid colors.
Weaker trends = Lighter colors.
Trend Reversal Arrows 🔄
🔼 Green Up Arrow: Bullish reversal signal.
🔽 Red Down Arrow: Bearish reversal signal.
Trend Table Overlay 🖥
Displays ADX, RSI, and Trend State dynamically on the chart.
📢 Trading Signals & How to Use It
1️⃣ Bullish Signals 📈
✅ Conditions for a Long (Buy) Trade:
The MLMA crosses above the lower band.
The ADX is above 25 (confirming trend strength).
RSI is above 55, indicating positive momentum.
Green trend reversal arrow appears (confirmation of a bullish reversal).
🔹 How to Trade It:
Enter a long trade when the MLMA turns bullish.
Set stop-loss below the lower Bollinger Band.
Target previous resistance levels or use the upper band as take-profit.
2️⃣ Bearish Signals 📉
✅ Conditions for a Short (Sell) Trade:
The MLMA crosses below the upper band.
The ADX is above 25 (confirming trend strength).
RSI is below 45, indicating bearish pressure.
Red trend reversal arrow appears (confirmation of a bearish reversal).
🔹 How to Trade It:
Enter a short trade when the MLMA turns bearish.
Set stop-loss above the upper Bollinger Band.
Target the lower band as take-profit.
💡 What Makes This a Machine Learning Moving Average?
📍 1️⃣ Adaptive & Self-Tuning
Unlike static moving averages that rely on fixed parameters, this MLMA automatically adjusts its sensitivity to market conditions using:
ATR-based dynamic windowing 📏 (Expands/contracts based on volatility).
Adaptive smoothing using EMA, HMA, WMA, or VWAP 📊.
Multi-indicator confirmation (ADX, RSI, Volatility Bands) 🏆.
📍 2️⃣ Intelligent Trend Confirmation
The MLMA "learns" from recent price movements instead of blindly following a fixed-length average.
It incorporates ADX & RSI trend filtering to reduce noise & false signals.
📍 3️⃣ Dynamic Color-Coding for Trend Strength
Strong trends trigger more vivid colors, mimicking confidence levels in machine learning models.
Weaker trends appear faded, suggesting uncertainty.
🎯 Why Use the MLMA?
✅ Pros
✔ Combines multiple trend indicators (MA, ADX, RSI, BB).
✔ Automatically adjusts to market conditions.
✔ Filters out weak trends, making it more reliable.
✔ Visually intuitive (gradient colors & reversal arrows).
✔ Works across all timeframes and assets.
⚠️ Cons
❌ Not a standalone strategy → Best used with volume confirmation or candlestick analysis.
❌ Can lag slightly in fast-moving markets (due to smoothing).
Half-Trend Channel [BigBeluga]Half Trend Channel is a powerful trend-following indicator designed to identify trend direction, fakeouts, and potential reversal points. The combination of upper/lower bands, midline coloring, and specific signals makes it ideal for spotting trend continuation and market reversals.
The base of the channel is calculated using smoothed half-trend logic.
// Initialize half trend on the first bar
if barstate.isfirst
hl_t := close
// Update half trend value based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
// Smooth
float s_hlt = ta.hma(hl_t, len)
🔵 Key Features:
Upper and Lower Bands:
The bands adapt dynamically to market volatility.
Price movements toward the bands help identify areas of overextension and potential reversal points.
Midline Trend Signal:
The midline changes color to reflect the current trend:
Green Midline: Indicates an uptrend.
Purple Midline: Signals a downtrend.
Fakeout Signals ("X"):
"X" markers appear when price briefly breaches the outer bands but fails to sustain the move.
Fakeouts help traders identify areas where price momentum weakens.
Reversal Signals (Triangles):
Triangles (▲ and ▼) mark potential tops and bottoms:
▲ Up Triangles: Suggest a potential bottom and a reversal to the upside.
▼ Down Triangles: Indicate a potential top and a reversal to the downside.
Dynamic Trend Labels:
At the last bar, the indicator displays labels like "Trend Up" or "Trend Dn" , reflecting the current trend direction.
🔵 Usage:
Use the colored midline to determine the overall trend direction.
Monitor "X" fakeout signals to spot failed breakouts or momentum exhaustion near the bands.
Watch for reversal triangles (▲ and ▼) to identify potential trend reversals at tops or bottoms.
Combine the bands and midline signals to confirm trade entries and exits:
Enter long trades when price bounces off the lower band with a green midline.
Consider short trades when price reverses from the upper band with a purple midline.
Use the trend label (e.g., "Trend Up" or "Trend Dn") for quick confirmation of the current market state.
The Half Trend Channel is an essential tool for traders who want to follow trends, avoid fakeouts, and identify reliable tops and bottoms to optimize their trading decisions.
SuperTrend Volume [BigBeluga]SuperTrend Volume is an advanced trend-following indicator that combines the traditional SuperTrend method with a normalized volume visualization inside trend bands, offering enhanced insight into market dynamics and volume activity.
🔵 Key Features:
Dynamic Trend Bands: The indicator uses the SuperTrend methodology to plot upper and lower trend bands, which adapt dynamically to price movements. Green bands indicate an uptrend, while purple bands indicate a downtrend.
Normalized Volume Visualization:
Inside the trend bands, normalized volume is displayed to highlight the intensity of market participation during trends.
Users can choose between two visualization types:
Bars: Displays volume as vertical bars within the bands.
Area: Represents volume as a shaded area for a smoother look.
Color-Coded Trends: Trend direction is color-coded:
Green for bullish trends.
Purple for bearish trends.
Volume Labels: Each bar or area has a label showing the normalized volume value 0-4 for easier interpretation.
Trend Change Detection: Automatically identifies trend reversals by recalculating the SuperTrend levels and adjusting volume visualization accordingly.
🔵 Usage:
Trend Identification: Use the color-coded trend bands to confirm the current market direction and identify potential reversals.
Volume Confirmation: Assess the strength of trends using normalized volume inside the bands. Higher normalized volume indicates stronger market conviction.
Peak Volume can be a signal of the mean reversion of price
Customization: Adjust the visualization type (bars or area) based on personal preference or analysis needs.
Dynamic Updates: Use volume labels and trend bands to stay updated on market shifts and trading opportunities in real time.
SuperTrend Volume is a versatile tool suitable for traders who want to combine trend analysis with volume dynamics for a more comprehensive view of the market. It is ideal for identifying trend strength, detecting reversals, and gauging the participation of market players during directional moves.
RSI and CMF V 1.0
Introduction: RSI and CMF
The Relative Strength Index (RSI) and Chaikin Money Flow (CMF) are two powerful tools for analyzing market behavior. Each serves a unique purpose and provides insights into different aspects of price action.
The RSI measures the speed and magnitude of price movements. By comparing recent gains to losses over a chosen period, it identifies overbought and oversold conditions in the market. RSI focuses solely on price and offers traders a quick glance at whether an asset is trending too high or too low relative to its recent performance.
On the other hand, the CMF evaluates market behavior by integrating both price and volume. It measures money flow to determine whether an asset is being accumulated (bullish) or distributed (bearish). Positive CMF values indicate buying pressure, while negative values signal selling pressure, making it an essential tool for volume-based analysis.
Our Innovation
Traditionally, indicators like the RSI and CMF are analyzed in separate panels, limiting their connection to the price chart itself. We’ve developed an innovative solution that combines the power of these two indicators, enabling traders to simultaneously measure both price movements and volume flow in a unified visualization. By mapping the RSI and CMF directly onto the price chart, our indicator provides a seamless way to observe and analyze how price momentum and money flow interact with the actual price action.
This integration of volume, price, and momentum into a single chart offers traders a comprehensive tool for deeper market insights and faster decision-making.
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Simple Settings Panel with Tooltips
Our indicator comes with an intuitive and user-friendly settings panel, designed for ease of use and full customization. Each input is accompanied by a tooltip to guide users through the settings and ensure clear understanding of their purpose.
Settings Overview
1. Enable RSI over Price:
Tooltip: "Toggle this option to enable or disable the RSI plotted on the price chart."
This setting allows users to control whether the RSI is displayed directly over the price chart.
2. RSI Length:
Default Value: 14
Tooltip: "Set the period for RSI calculation. Typical value is 14."
Adjusts the time period used for RSI calculations, affecting its sensitivity to price changes.
3. RSI Source:
Default Value: Close
Tooltip: "Choose the data source for RSI calculation, usually the closing price."
Allows users to specify which price data (e.g., close, open, high, low) is used in the RSI calculation.
4. Enable CMF over Price:
Tooltip: "Toggle this option to enable or disable the CMF mapped onto the price chart."
Controls the visibility of the CMF line on the price chart.
5. CMF Length:
Default Value: 20
Tooltip: "Set the period for CMF calculation. Typical value is 20."
Adjusts the time period used to compute the CMF, determining the volume-weighted money flow sensitivity.
Description of RSI and CMF Settings
RSI Settings:
The RSI Length determines how many periods are included in the RSI calculation. Shorter lengths make the RSI more reactive to price changes, while longer lengths smooth out fluctuations. The RSI Source provides flexibility in selecting the price input for calculation, which is typically the closing price by default.
CMF Settings:
The CMF Length defines how many periods are used to calculate the Chaikin Money Flow, enabling users to focus on short-term or long-term trends in money flow. Enabling the CMF over price ensures the relationship between volume and price action is visually evident on the price chart.
The Style Settings
panel allows users to customize the visual appearance of the indicator, ensuring clarity and alignment with their preferences. Users can independently adjust the line colors for RSI and CMF, with default settings of green for RSI and red for CMF, enabling a clear distinction between the two.
Additionally, the Fill between RSI and CMF option provides two customizable colors (Color 0 and Color 1) to represent the dynamic fill. This fill visually highlights the relationship between the RSI and CMF, enhancing the interpretability of their interaction on the price chart. The settings also include options to toggle precision, labels on the price scale, and values in the status line for added flexibility.
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How to Analyze with RSI and CMF V 1.0
The RSI and CMF V 1.0 indicator provides an intuitive and integrated approach to analyzing market trends, combining momentum and volume dynamics directly on the price chart. Its innovative mapping of RSI and CMF makes it easy to spot key trends and reversals with unmatched clarity.
Key Insights:
1. Dynamic Relationship Between RSI and CMF:
The indicator maps RSI (momentum-based) and CMF (volume-based) values onto the price chart. This makes it easier to analyze how price momentum aligns with money flow.
The color-coded fill highlights the strength of their relationship:
- Blue Fill: RSI is stronger than CMF, indicating price momentum leads the movement.
- Red Fill: CMF dominates RSI, reflecting the strength of volume flow.
2. Spotting Trends:
Uptrends: Consistent blue fills paired with RSI and CMF rising together suggest bullish momentum backed by strong volume.
Downtrends: Red fills with declining RSI and CMF signal bearish pressure driven by selling volume.
3. Reversals and Divergences:
Divergences between price action and the mapped RSI/CMF lines can signal potential reversals.
For instance, if price is rising but RSI and CMF are both falling, it could indicate weakening bullish momentum.
Ease of Use:
Color Coding: The dynamic fills (blue and red) allow for immediate visual identification of trend strength and direction, reducing analysis time.
Overlay on Price: By plotting directly on the price chart, traders don’t need to switch between multiple panels, ensuring the context remains clear.
Customizable Settings: Inputs for length, source, and enable/disable toggles make it adaptable for all trading styles and timeframes.
In conclusion, this indicator offers a visually clear and easy-to-understand way to combine momentum and volume analysis, empowering traders with actionable insights at a glance.
Multi-Feature IndicatorThe Multi-Feature Indicator combines three popular technical analysis tools — RSI, Moving Averages (MA), and MACD — into a single indicator to provide unified buy and sell signals. This script is designed for traders who want to filter out noise and focus on signals confirmed by multiple criteria.
Features:
RSI (Relative Strength Index):
Measures momentum and identifies overbought (70) and oversold (30) conditions.
A signal is triggered when RSI crosses these thresholds.
Moving Averages (MA):
Uses a short-term moving average (default: 9 periods) and a long-term moving average (default: 21 periods).
Buy signals occur when the short-term MA crosses above the long-term MA, indicating an uptrend.
Sell signals occur when the short-term MA crosses below the long-term MA, indicating a downtrend.
MACD (Moving Average Convergence Divergence):
A trend-following momentum indicator that shows the relationship between two moving averages of an asset's price.
Signals are based on the crossover of the MACD line and its signal line.
Unified Buy and Sell Signals:
Buy Signal: Triggered when:
RSI crosses above 30 (leaving oversold territory).
Short-term MA crosses above the long-term MA.
MACD line crosses above the signal line.
Sell Signal: Triggered when:
RSI crosses below 70 (leaving overbought territory).
Short-term MA crosses below the long-term MA.
MACD line crosses below the signal line.
Visualization:
The indicator plots the short-term and long-term moving averages on the price chart.
Green "BUY" labels appear below price bars when all buy conditions are met.
Red "SELL" labels appear above price bars when all sell conditions are met.
Parameters:
RSI Length: Default is 14. This controls the sensitivity of the RSI.
Short MA Length: Default is 9. This determines the short-term trend.
Long MA Length: Default is 21. This determines the long-term trend.
Use Case:
The Multi-Feature Indicator is ideal for traders seeking higher confirmation before entering or exiting trades. By combining momentum (RSI), trend (MA), and momentum shifts (MACD), it reduces false signals and enhances decision-making.
How to Use:
Apply the indicator to your chart in TradingView.
Look for "BUY" or "SELL" signals, which appear when all conditions align.
Use this tool in conjunction with other analysis techniques for best results.
Note:
The default settings are suitable for many assets, but you may need to adjust them for different timeframes or market conditions.
This indicator is meant to assist in trading decisions and should not be used as the sole basis for trading.
Pattern Pro VPOCSummary:
This indicator combines multi-timeframe pattern detection (triangles and wedges), Volume Point of Control (VPOC) visualization, predictive volume modeling, and a swing-based VWAP. It provides traders with a detailed view of key trading patterns, high-volume levels, and entry/exit opportunities, all integrated into one powerful tool.
How This Script is Unique:
Multi-Timeframe Pattern Analysis:
Identifies chart patterns like triangles and wedges across multiple timeframes, enhancing the trader's ability to spot actionable opportunities.
Dynamically tracks pivot points and projected trendlines to visualize ongoing and potential patterns.
Volume Point of Control (VPOC):
Automatically calculates and plots the VPOC for detected patterns, highlighting the price level with the highest traded volume.
Helps identify strong support/resistance levels within patterns.
Predictive Volume Modeling:
Predicts high-volume trading times based on historical averages, allowing traders to anticipate periods of increased market activity.
Bars are color-coded to reflect projected volume activity.
Swing-Based VWAP:
Incorporates swing highs and lows into VWAP calculations, making it adaptive to current market conditions.
Offers a more dynamic view compared to traditional static VWAP indicators.
Trade Management Features:
Visualizes stop-loss (SL) and take-profit (TP) levels directly on the chart.
Tracks active trades and peak performance, enabling effective trade management.
Customizability:
Offers user-defined settings for timeframe selection, risk management, and volume modeling, making it adaptable to various trading strategies.
How to Use:
Pattern Detection:
The script automatically identifies triangle and wedge patterns. No manual input is needed for detection.
Patterns are displayed with top and bottom trendlines and the associated VPOC.
Volume Modeling:
Enable "Use Predictive Volume" under the Predictive Volume settings to highlight periods of projected high activity.
Customize the moving average period and date range for better precision.
Swing-Based VWAP:
Enable "Use VWAP" and configure the anchor period to suit your trading timeframe (e.g., Session, Week, Month).
The VWAP adapts dynamically to swings for precise insights.
Risk Management:
Adjust initial risk, multiplier, and drawdown limits under Risk Management settings.
Visual SL and TP boxes make it easy to monitor trade progress.
Alerts:
Enable "Pattern Alert" to receive notifications for detected patterns.
Use "Trade Alert" to get notified of potential entry opportunities.
Custom Inputs:
Customize "Lookback Bars for VPOC" to define how far back the indicator searches for volume data.
Modify "Row Size" and "POC Settings" for precise VPOC plotting.
Related Links:
Swing-Based VWAP
Intraday Predictive High-Volume Activity Sessions
Trade Settings:
Pattern Timeframe Input:
Select the timeframe used for detecting patterns (e.g., Chart, 15m, 1H).
Use: Helps identify patterns specific to the selected timeframe.
Bars to Entry:
Defines the number of bars within which a trade should be entered after a pattern is detected.
Use: Ensures timely entries based on identified patterns.
Plot Peak Profit:
Toggles the visualization of the peak profit level for trades.
Use: Helps monitor the maximum potential profit from a trade.
Use Close of Candle Above/Below Top/Bottom Line:
When enabled, the script uses the close of the candle instead of wicks to determine line breakouts.
Use: Ensures more precise break detection for pattern confirmation.
Pattern VPOC Settings:
Lookback Bars for VPOC:
Specifies the number of bars to analyze for calculating the Volume Point of Control (VPOC).
Use: Adjusts the depth of data analyzed for VPOC determination.
Row Size:
Determines the granularity of VPOC calculations. Higher values result in finer divisions.
Use: Fine-tune VPOC plotting for greater precision.
Pattern VPOC Color:
Sets the color of the VPOC line on the chart.
Use: Customize chart aesthetics for better visibility.
Width:
Adjusts the thickness of the VPOC line.
Use: Makes the line more prominent on the chart.
Risk Management:
Initial Risk:
Specifies the base risk amount for each trade.
Use: Helps determine the trade size based on risk tolerance.
Risk Increment Type:
Selects whether risk increments are linear or exponential after consecutive losses.
Use: Adjusts risk dynamically to manage losses effectively.
Multiplier:
Multiplies the risk in exponential mode to calculate the next risk value after a loss.
Use: Defines the growth factor for exponential risk.
Max Drawdown:
Sets the maximum drawdown value before halting trading.
Use: Protects against significant capital depletion.
Initial Capital:
Specifies the starting capital for performance calculations.
Use: Helps measure performance and calculate drawdown percentages.
Alert Settings:
Trade Alert:
Enables alerts for detected trade setups.
Use: Keeps the user notified about potential trade opportunities.
Pattern Alert:
Enables alerts for detected patterns.
Use: Provides immediate notification when a pattern is identified.
Predictive Volume:
Use Predictive Volume:
Toggles the predictive volume modeling feature.
Use: Highlights projected high-volume periods for better timing.
Select Timeframe for Predictive Volume:
Defines the timeframe for predictive volume analysis.
Use: Allows predictive modeling to align with the user's trading style.
MA Average Periods:
Sets the moving average length for volume prediction.
Use: Smoother or more responsive predictive models based on user preference.
Date Range:
Specifies the historical range used for volume analysis.
Use: Limits the scope of volume data for calculations.
VWAP Settings:
Use VWAP:
Toggles the VWAP calculation and plotting.
Use: Tracks the average price weighted by volume to find key price levels.
Hide VWAP on 1D or Above:
Hides VWAP plots on daily or higher timeframes.
Use: Avoids clutter on charts with higher timeframes.
Anchor Period:
Sets the anchor period for VWAP calculation (e.g., Session, Week, Month).
Use: Aligns VWAP with the selected timeframe.
Source:
Defines the price source for VWAP calculation (default: hlc3).
Use: Adjusts VWAP based on the preferred price type.
Offset:
Adjusts the VWAP line's placement by the specified number of bars.
Use: Moves the VWAP line forward or backward for better visual alignment.
Swing Size:
Defines the sensitivity for detecting swing highs and lows in VWAP calculations.
Use: Refines VWAP calculations to match market swings.
Fibonacci Time-Price Zones🟩 Fibonacci Time-Price Zones is a chart visualization tool that combines Fibonacci ratios with time-based and price-based geometry to analyze market behavior. Unlike typical Fibonacci indicators that focus solely on horizontal price levels, this indicator incorporates time into the analysis, providing a more dynamic perspective on price action.
The indicator offers multiple ways to visualize Fibonacci relationships. Drawing segmented circles creates a unique perspective on price action by incorporating time into the analysis. These segmented circles, similar to TradingView's built-in Fibonacci Circles, are derived from Fibonacci time and price levels, allowing traders to identify potential turning points based on the dynamic interaction between price and time.
As another distinct visualization method, the indicator incorporates orthogonal patterns, created by the intersection of horizontal and vertical Fibonacci levels. These intersections form L-shaped connections on the chart, derived from key Fibonacci price and time intervals, highlighting potential areas of support or resistance at specific points in time.
In addition to these geometric approaches, another option is sloped lines, which project Fibonacci levels that account for both time and price along the trendline. These projections derive their angles from the interplay between Fibonacci price levels and Fibonacci time intervals, creating dynamic zones on the chart. The slope of these lines reflects the direction and angle of the trend, providing a visual representation of price alignment with market direction, while maintaining the time-price relationship unique to this indicator
The indicator also includes horizontal Fibonacci levels similar to traditional retracement and extension tools. However, unlike standard tools, traders can display retracement levels, extension levels, or both simultaneously from a single instance of the indicator. These horizontal levels maintain consistency with the chosen visualization method, automatically scaling and adapting whether used with circles, orthogonal patterns, or slope-based analysis.
By combining these distinct methods—circles, orthogonal patterns, sloped projections, and horizontal levels—the indicator provides a comprehensive approach to Fibonacci analysis based on both time and price relationships. Each visualization method offers a unique perspective on market structure while maintaining the core principle of time-price interaction.
⭕ THEORY AND CONCEPT ⭕
While traditional Fibonacci tools excel at identifying potential support and resistance levels through price-based ratios (0.236, 0.382, 0.618), they do not incorporate the dimension of time in market analysis. Extensions and retracements effectively measure price relationships within trends, yet markets move through both price and time dimensions simultaneously.
Fibonacci circles represent an evolution in technical analysis by incorporating time intervals alongside price levels. Based on the mathematical principle that markets often move in circular patterns proportional to Fibonacci ratios, these circles project potential support and resistance zones as partial circles radiating from significant price points. However, traditional circle-based tools can create visual complexity that obscures key market relationships. The integration of time into Fibonacci analysis reveals how price movements often respect both temporal and price-based ratios, suggesting a deeper geometric structure to market behavior.
The Fibonacci Time-Price Zones indicator advances these concepts by providing multiple geometric approaches to visualize time-price relationships. Each shape option—circles, orthogonal patterns, slopes, and horizontal levels—represents a different mathematical perspective on how Fibonacci ratios manifest across both dimensions. This multi-faceted approach allows traders to observe how price responds to Fibonacci-based zones that account for both time and price movements, potentially revealing market structure that purely price-based tools might miss.
Shape Options
The indicator employs four distinct geometric approaches to analyze Fibonacci relationships across time and price dimensions:
Circular : Represents the cyclical nature of market movements through partial circles, where each radius is scaled by Fibonacci ratios incorporating both time and price components. This geometry suggests market movements may follow proportional circular paths from significant pivot points, reflecting the harmonic relationship between time and price.
Orthogonal : Constructs L-shaped patterns that separate the time and price components of Fibonacci relationships. The horizontal component represents price levels, while the vertical component measures time intervals, allowing analysis of how these dimensions interact independently at key market points.
Sloped : Projects Fibonacci levels along the prevailing trend, incorporating both time and price in the angle of projection. This approach suggests that support and resistance levels may maintain their relationship to price while adjusting to the temporal flow of the market.
Horizontal : Provides traditional static Fibonacci levels that serve as a reference point for comparing price-only analysis with the dynamic time-price relationships shown in the other three shapes. This baseline approach allows traders to evaluate how the incorporation of time dimension enhances or modifies traditional Fibonacci analysis.
By combining these geometric approaches, the Fibonacci Time-Price Zones indicator creates a comprehensive analytical framework that bridges traditional and advanced Fibonacci analysis. The horizontal levels serve as familiar reference points, while the dynamic elements—circular, orthogonal, and sloped projections—reveal how price action responds to temporal relationships. This multi-dimensional approach enables traders to study market structure through various geometric lenses, providing deeper insights into time-price symmetry within technical analysis. Whether applied to retracements, extensions, or trend analysis, the indicator offers a structured methodology for understanding how markets move through both price and time dimensions.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Fibonacci Time-Price Zones indicator offers a range of configurable settings to tailor its functionality and visual representation to your specific analysis needs. These options allow you to customize zone visibility, structures, horizontal lines, and other features.
Important Note: The indicator's calculations are anchored to user-defined start and end points on the chart. When switching between charts with significantly different price scales (e.g., from Bitcoin at $100,000 to Silver at $30), adjustment of these anchor points is required to ensure correct positioning of the Fibonacci elements.
Fibonacci Levels
The indicator allows users to customize Fibonacci levels for both retracement and extension analysis. Each level can be individually configured with the following options:
Visibility : Toggle the visibility of each level to focus on specific areas of interest.
Level Value : Set the Fibonacci ratio for the level, such as 0.618 or 1.000, to align with your analysis needs.
Color : Customize the color of each level for better visual clarity.
Line Thickness : Adjust the line thickness to emphasize critical levels or maintain a cleaner chart.
Setup
Zone Type : Select which Fibonacci zones to display:
- Retracement : Shows potential pull back levels within the trend
- Extension : Projects levels beyond the trend for potential continuation targets
- Both : Displays both retracement and extension zones simultaneously
Shape : Choose from four visualization methods:
- Circular : Time-price based semicircles centered on point B
- Orthogonal : L-shaped patterns combining time and price levels
- Sloped : Trend-aligned projections of Fibonacci levels
- Horizontal : Traditional horizontal Fibonacci levels
Visual Settings
Fill % : Adjusts the fill intensity of zones:
0% : No fill between levels
100% : Maximum fill between levels
Lines :
Trendline : The base A-B trend with customizable color
Extension : B-C projection line
Retracement : B-D pullback line
Labels :
Points : Show/hide A, B, C, D markers
Levels : Show/hide Fibonacci percentages
Time-Price Points
Set the time and price for the points that define the Fibonacci zones and horizontal levels. These points are defined upon loading the chart. These points can be configured directly in the settings or adjusted interactively on the live chart.
A and B Points : These user-defined time and price points determine the basis for calculating the semicircles and Fibonacci levels. While the settings panel displays their exact values for fine-tuning, the easiest way to modify these points is by dragging them directly on the chart for quick adjustments.
Interactive Adjustments : Any changes made to the points on the chart will automatically synchronize with the settings panel, ensuring consistency and precision.
🖼️ CHART EXAMPLES 🖼️
Fibonacci Time-Price Zones using the 'Circular' Shape option. Note the price interaction at the 0.786 level, which acts as a support zone. Additional points of interest include resistance near the 0.618 level and consolidation around the 0.5 level, highlighting the utility of both horizontal and semicircular Fibonacci projections in identifying key price areas.
Fibonacci Time-Price Zones using the 'Sloped' Shape option. The chart displays price retracing along the sloped Fibonacci levels, with blue arrows highlighting potential support zones at 0.618 and 0.786, and a red arrow indicating potential resistance at the 1.0 level. This visual representation aligns with the prevailing downtrend, suggesting potential selling pressure at the 1.0 Fibonacci level.
Fibonacci Time-Price Zones using the 'Orthogonal' Shape option. The chart demonstrates price action interacting with vertical zones created by the orthogonal lines at the 0.618, 0.786, and 1.0 Fibonacci levels. Blue arrows highlight potential support areas, while red arrows indicate potential resistance areas, revealing how the orthogonal lines can identify distinct points of price interaction.
Fibonacci Time-Price Zones using the 'Circular' Shape option. The chart displays price action in relation to segmented circles emanating from the starting point (point A). The circles represent different Fibonacci ratios (0.382, 0.5, 0.618, 0.786) and their intersections with the price axis create potential zones of support and resistance. This approach offers a visually distinct way to analyze potential turning points based on both price and time.
Fibonacci Time-Price Zones using the 'Sloped' Shape option. The sloped Fibonacci levels (0.786, 0.618, 0.5) create zones of potential support and resistance, with price finding clear interaction within these areas. The ellipses highlight this price action, particularly the support between 0.786 and 0.618, which aligns closely with the trend.
Fibonacci Time-Price Zones using the 'Circular' Shape option. The price action appears to be ‘hugging’ the 0.5 Fibonacci level, suggesting potential resistance. This demonstrates how the circular zones can identify potential turning points and areas of consolidation which might not be seen with linear analysis.
Fibonacci Time-Price Zones using the 'Sloped' Shape option with Point D marker enabled. The chart demonstrates clear price action closely following along the sloped Retracement line until the orthogonal intersection at the 0.618 levels where the trend is broken and price dips throughout the 0.618 to 0.786 horizontal zone. Price jumps back to the retracement slope at the start of the 0.786 horizontal zone and continues to the 1.0 horizontal zone. The aqua-colored retracement line is enabled to further emphasize this retracement slope .
Geometric validation using TradingView's built-in Fibonacci Circle tool (overlaid). The alignment at the 0.5 and 1.0 levels demonstrates the indicator's consistent approximation of Fibonacci Circles.
Comparison of Fibonacci Time-Price Zones (Shape: Horizontal) with TradingView's Built-in Retracement and Extension Tools (overlaid): This example demonstrates how the Horizontal structure aligns with TradingView’s retracement and extension levels, allowing users to integrate multiple tools seamlessly. The Fibonacci circle connects retracement and extension zones, highlighting the potential relationship between past retracements and future extensions.
📐 GEOMETRIC FOUNDATIONS 📐
This indicator integrates circular and straight representations of Fibonacci levels, specifically the Circular , Orthogonal , Sloped , and Horizontal shape options. The geometric principles behind these shapes differ significantly, requiring distinct scaling methods for accurate representation. The Circular shape employs logarithmic scaling with radial expansion, where the distance from a central point determines the level's position, creating partial circles that align with TradingView's built-in Fibonacci Circle tool. The other three shapes utilize geometric progression scaling for linear extension from a starting point, resulting in straight lines that align with TradingView's built-in Fibonacci retracement and extension tools. Due to these distinct geometric foundations and scaling methods, perfectly aligning both the partial circles and straight lines simultaneously is mathematically constrained, though any differences are typically visually imperceptible.
The Circular shape's partial circles are calculated and scaled to align with TradingView's built-in Fibonacci Circles. These circles are plotted from the second swing point onward. This approach ensures consistent and accurate visualization across all market types, including those with gaps or closed sessions, which unlike 24/7 markets, do not have a direct one-to-one correspondence between bar indices and time. To maintain accurate geometric proportions across varying chart scales, the indicator calculates an aspect ratio by normalizing the proportional difference between vertical (price) and horizontal (time) distances of the swing points. This normalization factor ensures geometric shapes maintain their mathematical properties regardless of price scale magnitude or time period span, while maintaining the correct proportions of the geometric constructions at any chart zoom level.
The indicator automatically applies the appropriate scaling factor based on the selected shape option, optimizing either circular proportions and proper radius calculations for each Fibonacci level, or straight-line relationships between Fibonacci levels. These distinct scaling approaches maintain mathematical integrity while preserving the essential characteristics of each geometric representation, ensuring optimal visualization accuracy whether using circular or linear shapes.
⚠️ DISCLAIMER ⚠️
The Fibonacci Time-Price Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating both curved and straight lines, providing a structured framework for identifying potential areas of price interaction. It is not intended as a predictive or standalone trading signal indicator.
The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s Fibonacci extension, retracement, and circle tools by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods.
Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. However, these visualizations are not standalone signals for trading decisions and should be interpreted as part of a broader analytical approach.
This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. Users are encouraged to integrate it into a comprehensive trading strategy, customizing its settings to suit their specific needs and market conditions.
🧠 BEYOND THE CODE 🧠
The Fibonacci Time-Price Zones indicator is designed to encourage both education and community engagement. By integrating time-sensitive geometry with Fibonacci-based frameworks, it bridges traditional grid-based analysis with dynamic time-price relationships. The inclusion of semicircles, horizontal levels, orthogonal structures, and sloped trends provides users with versatile tools to explore the interaction between price movements and temporal intervals while maintaining clarity and adaptability.
As an open-source tool, the indicator invites exploration, experimentation, and customization. Whether used as a standalone resource or alongside other technical strategies, it serves as a practical and educational framework for understanding market structure and Fibonacci relationships in greater depth.
Your feedback and contributions are essential to refining and enhancing the Fibonacci Time-Price Zones indicator. We look forward to the creative applications, adaptations, and insights this tool inspires within the trading community.
Trend Strength/DirectionThis is a really good, though complex indicator, so I will add two different explanations so to appease both the laymen and those who take the time to read thoroughly.
Simple Explanation
This indicator utilizes 6HMA's to display their angles
The greater the angle ---> the stronger the trend
If more angles are positive, then trend is very strong
If more are negative, then very negative
Comprehensive Explanation
6 angles, each of a different time frame are used to represent direction and trend strength. Angles are used because they intrinsically represent momentum and speed. An angle of 45 represents a perfect balance between something that can cover the furthest distance without compensating for speed. 1 of the 6 angles is intended(though customizable) to represent the 5 hma's angle. This is because the 5hma is very good at representing very near term price action.
Angle Levels
Its important to understand what the angle levels mean for the underlying hma's. The 0 level represents a hma that is horizontal. This is important because this is the point at which it decides to be bullish or bearish. +/- 45, as noted before, represent bullishness/bearishness that represent strong trends without compensating for speed. A continuous increase/decrease and or a cross of these levels generally indicate significant change in sentiment, of which trades may be taken.
Strategy
You should weigh your decision by those angles that represent the longer time frame. If more angles represent a certain sentiment, it is obviously unwise to fight against that long term sentiment. The purpose of this indicator was to provide a proper representation of trend direction and strength, but also solve the problem of when you should 'dip' buy.
For an example: if all angles are increase or decreasing, then you may use the 5hma's angle to find the proper points at which you will enter a position.
***NOTE: I dont think the +/- 45 bands should indicate 'overbought' or 'oversold' zones that some might assume. Instead you should wait for a crossing of this zone.
Bitcoin: Mayer MultipleMayer Multiple Indicator
The Mayer Multiple is a powerful tool designed to help traders assess market conditions and identify optimal buying or selling opportunities. It calculates the ratio between the current price and its 200-day simple moving average (SMA), visualizing key thresholds that indicate value zones, caution areas, and overheated markets.
Key Features:
Dynamic Market Zones: Clearly marked levels like "Smash Buy," "Boost DCA," and "Extreme Euphoria" to guide your trading decisions.
Customizable Input: Adjust the SMA length to fit your strategy.
Color-Coded Signals: Intuitive visualization of market sentiment for quick analysis.
Comprehensive Thresholds: Historical insights into price behavior with plotted reference levels based on probabilities.
This indicator is ideal for traders aiming to enhance their long-term strategies and improve decision-making in volatile markets. Use it to gain an edge in identifying potential turning points and managing risk effectively.
Boltzmann Weighted Moving average ( BWMA )Overview:
Introducing the Boltzmann Weighted Moving Average (BWMA) – a novel approach that draws inspiration from statistical mechanics to emphasize recent market data more than older data. By applying an exponential decay governed by a “temperature” parameter, BWMA provides a unique perspective on price trends and enhances noise filtering. An EMA-based smoothing is then applied for an even cleaner, more stable signal.
Key Features:
Boltzmann Weighting: The BWMA assigns weights to each data point based on a Boltzmann-like formula, giving more influence to recent bars and reducing the impact of older ones. This creates a dynamic, adaptive moving average that can quickly respond to market changes.
Adaptive Temperature Control: Users can adjust the “Temperature” (T) parameter. A lower T puts a stronger emphasis on the most recent data, while a higher T makes the weight distribution more uniform across the chosen period.
EMA Smoothing: After computing the weighted average, an EMA is applied to smooth out short-term noise, resulting in a cleaner trend indication.
Color-Coded Trend Indicator: The BWMA line changes color depending on its slope, allowing traders to quickly identify bullish (green) or bearish (red) conditions at a glance.
Parameters:
Period: Defines the lookback window over which the Boltzmann weights are calculated.
Temperature (T): Controls the steepness of the weight decay. Lower T emphasizes recency, while higher T spreads weights more evenly.
Alpha (Energy Scale): Adjusts how quickly “Energy” (and thus weight decay) increases with older data points.
Smoothing Period: Determines the EMA length for reducing noise after weighting, providing a more stable signal.
How It Works:
The BWMA calculates a weighted average of recent prices, where the weight for each data point i is given by:
weight = math.exp(-energy / (k_B * T))
Energy_i: Increases as the data point is further back in time.
k_B: A scaling constant, set to 1 for simplicity.
T: "Temperature" parameter that controls how quickly the weights decay. A lower T emphasizes more recent data strongly, while a higher T spreads out the emphasis more evenly.
Visuals:
BWMA Line: Plotted as a smooth line that changes color based on trend direction.
Green: BWMA is rising (bullish trend).
Red: BWMA is falling (bearish trend).
Usage:
The BWMA can be used similarly to traditional moving averages but offers greater flexibility and adaptability:
Adjust T and Alpha: Fine-tune the weighting profile to match your trading style, whether you prefer rapid response to recent changes or a more balanced view.
Trend Confirmation: Use color changes to confirm bullish or bearish momentum.
Filtering Noise: The combination of Boltzmann weighting and EMA smoothing can help reduce the impact of sudden price spikes and yield clearer trend signals.
By blending the concepts of statistical mechanics with classic technical analysis techniques, the Boltzmann Weighted Moving Average provides traders with an innovative tool for revealing underlying market trends.
Trend, Chart Patterns & Market Structure Indicator [TradeDots]The "Trend, Chart Patterns & Market Structure Indicator" is engineered to identify pivotal price action points, revealing shifts in market dynamics. This tool aids traders to simplify any trading market in recognizing significant price levels, enhancing decision-making in diverse market conditions.
📝 HOW IT WORKS
Pivot Identification
The indicator detects pivots in price action using a complex mathematical model by analyzing a window of candlesticks to capture significant reversal patterns. It examines a series of bars, focusing on their open, high, low, close, and changes in these values, to pinpoint potential market turning points.
Support and Resistance Lines
Calculation: Automatically draws lines at key price pivots in bullish and bearish markets.
Significance: Aligning support and resistance levels highlights strong demand or supply zones, reinforcing trading biases. When multiple lines converge near a price level, it indicates robust support or resistance, as many traders focus on these levels for placing trades.
Chart Patterns Analysis
Formation: Utilizes four pivots to identify patterns such as ascending/descending channels, contraction, and expansion patterns.
Visualization: Background colors (green for bullish, red for bearish) help identify market trends.
Market Structure Shifts
Detection: Identifies price breakouts above or below previous support and resistance, indicating changes in market structure.
Confirmation: Highlights shifts in market character, aiding in trend reversal anticipation.
Types of Market Structure Shifts
Channel Breakout: The price breaks out from the current channel's resistance level.
Rev. Breakout: The price breaks out from a contraction pattern, moving in the opposite direction of the previous market trend.
Continuation Breakout: The price breaks out from a contraction pattern, continuing the previous market trend.
Change of Character (ChoCh): The price breaks out from either support or resistance, causing a change in the market trend.
🛠️ HOW TO USE
Chart Visualization
Color Coding: Background colors signify market trends, with green indicating bullish and red indicating bearish conditions.
Pattern Recognition: Identifies and labels patterns, providing insights into current market sentiment.
Reversal Signals
Signal Labels: Detects shifts in market structure indicating potential entry and exit points.
❗️LIMITATIONS
Market Noise: Accuracy may decrease in volatile and noisy markets.
Trend Confirmation Delay: Market trends are only confirmed once the price breaks out from support or resistance, potentially causing delays.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only.
Potential Upcoming Trend ToolThis Script has the specific use of identifying when and how a new trend may start to take form, rather than focusing on how a trend has already formed on a longer term basis.
This Script is useful on it's own and not in conjunction with another. It works by taking on the most recent price data rather than a long term historical string.
It differs from standard trend following indicators because it's use is far less historical, and more present. It requires less pivot points than normal to be validated as a strong trend.
It works by taking local pivot points and fractals to form its parallel basis. The Trend lines will continually move as more recent price action data appears and the the channel will get thinner, until it is clear a trend has arrived and consolidated.
The idea really is to see a constantly evolving picture of a sudden change in movement, allowing you to have an earlier eye on what is potentially to come.
The faint mid-point line gives a reasonable reading of where you would find yourself halfway within a new trend and will also move inline with the shown trendlines.
This allows you to easily track when sentiment and therefore trends are about to change. It's much more useful on lower timeframes because they will often give the first indication something is changing.
Colours are fully customisable.
HMA Gaussian Volatility AdjustedOverview
The "HMA Gaussian Volatility Adjusted" indicator introduces a unique combination of HMA smoothing with a Gaussian filter and two components to measure volatility (Average True Range (ATR) and Standard Deviation (SD)). This tool provides traders with a stable and accurate measure of price trends by integrating a Gaussian Filter smoothed using HMA with a customized calculation of volatility. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation
The "HMA Gaussian Volatility Adjusted" indicator incorporates HMA smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
HMA & Gaussian Smoothing:
HMA Calculation (HMA_Length): The script applies a Hull Moving Average (HMA) to smooth the price data over a user-defined period, reducing noise and helping focus on broader market trends.
Gaussian Filter Calculation (Length_Gaussian): The smoothed HMA data is further refined by putting it into a Gaussian filter to incorporate a normal distribution.
Volatility Measurement:
ATR Calculation (ATR_Length, ATR_Factor): The indicator incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the Gaussian, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Calculation (SD_Length): The script calculates the standard deviation of the price over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (SDD, SDU) act as additional indicators of price extremes.
Momentum Calculation & Scoring
When the indicator signals SHORT:
Diff = Price - Upper Boundary of the Standard Deviation (calculated on a Gaussian filter).
When the indicator signals LONG:
Diff = Price - Upper Boundary of the ATR (calculated on a Gaussian filter).
The calculated Diff signals how close the indicator is to changing trends. An EMA is applied to the Diff to smooth the data. Positive momentum occurs when the Diff is above the EMA, and negative momentum occurs when the Diff is below the EMA.
Trend Detection
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands, combined with positive/negative momentum, signals potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs
The "HMA Gaussian Volatility Adjusted" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
HMA Length: Allows traders to adjust the sensitivity of the HMA smoothing to control the amount of noise filtered from the price data.
Gaussian Length: Users can define the length at which the Gaussian filter is applied.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands to adjust for price volatility.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing further customization in detecting price volatility.
EMA Confluence: This input lets traders determine the length of the EMA used to calculate price momentum.
Type of Plot Setting: Allows users to determine how the indicator signal is plotted on the chart (Background color, Trend Lines, BOTH (backgroung color and Trend Lines)).
Transparency: Provides users with customization of the background color's transparency.
Color Long/Short: Offers users the option to choose their preferred colors for both long and short signals.
Summary and Usage Tips
The "HMA Gaussian Volatility Adjusted" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of HMA smoothing, Gaussian filtering, and standard deviation analysis provides a nuanced view of market movements by incorporating various metrics to determine direction, momentum, and volatility. This helps traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs.
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
Simple Parallel Channel TrackerThis script will automatically draw price channels with two parallel trends lines, the upper trendline and lower trendline. These lines can be changed in terms of appearance at any time.
The Script takes in fractals from local and historic price action points and connects them over a certain period or amount of candles as inputted by the user. It tracks the most recent highs and lows formed and uses this data to determine where the channel begins.
The Script will decide whether to use the most recent high, or low, depending on what comes first.
Why is this useful?
Often, Traders either have no trend lines on their charts, or they draw them incorrectly. Whichever category a trader falls into, there can only be benefits from having Trend lines and Parallel Channels drawn automatically.
Trends naturally occur in all Markets, all the time. These oscillations when tracked allow for a more reliable following of Markets and management of Market cycles.
TechniTrendMasterIntroducing "TechniTrendMaster"
The TechniTrendMaster indicator is designed to bring clarity and depth to your trading strategy. This indicator combines robust trend analysis with volume insights, giving you a comprehensive view of the market’s pulse. Let's break down the features.
🔵 Analysis Mode
TechniTrendMaster's Analysis Mode provides various configurations tailored to specific market behaviors. Here are the options you can utilize:
🔹Strong Movements: Focuses on powerful market shifts, ideal for capturing major trend changes and high-momentum moves. Perfect for identifying strong breakout opportunities.
🔹Reversal: Detects potential turning points in the market, signaling when a trend might be about to change direction, allowing for well-timed entries and exits.
🔹Consolidations: Spots periods of low volatility where the market moves sideways, helping you avoid trading traps and anticipate breakout scenarios.
🔹Momentum-Driven: Prioritizes momentum in the market, identifying when the force behind price movement is accelerating or decelerating.
🔹Balanced: Offers a well-rounded view of the market by weighing both trend direction and volume equally, making it suitable for stable market conditions.
🔹Volatility Adapted: Adjusts to periods of increased or decreased volatility, providing accurate signals regardless of market conditions.
🔹Trend Confirmation: Confirms the strength and sustainability of a trend, allowing traders to enter trades with higher confidence.
🔹Short-Term Scalping: Tailored for traders who focus on Short-Term and Scalp trades, offering rapid insights for intraday or short-term trading strategies.
🔵 Trend Analysis Mode
The Trend Analysis Mode allows you to customize how trends are detected and analyzed:
🔹Default: A balanced mode for general use, offering reliable trend identification across different market conditions.
🔹Aggressive: A more sensitive setting that reacts quickly to market changes, ideal for traders looking to capitalize on smaller, quicker movements.
🔹Conservative: Takes a cautious approach, favoring long-term stability over short-term fluctuations, perfect for risk-averse traders.
🔹Volatility Aware: Focuses on adapting to volatility shifts, giving accurate trend signals even in erratic markets.
🔹Range Bound: Targets horizontal price movements and channel trades, helping traders take advantage of well-defined ranges.
🔵 Divergence
Divergence is a powerful tool within TechniTrendMaster, highlighting discrepancies between price movement and underlying volume. These differences can indicate potential reversals or trend continuations before they are visible on price charts alone.
🔵 Hidden Divergence
Hidden divergence is a subtle yet crucial signal that reveals when an existing trend might resume after a temporary correction. This mode provides early detection of trend continuity opportunities, giving traders a significant advantage in timing.
🔵 Divergence Mode
TechniTrendMaster includes different divergence detection settings to suit your analysis style:
🔹Standard: Captures typical divergence patterns for general analysis.
🔹Short-Term Focused: Concentrates on short-lived divergences, offering rapid detection of shifts for active traders.
🔹Long-Term Analysis: Highlights divergence in a broader context, which is better for understanding the overall market direction.
🔹High Sensitivity: Prioritizes capturing even the smallest shifts in the market, making it excellent for high-frequency trading or volatile environments.
🔹Low Sensitivity: Reduces market noise, only reacting to more significant changes in trend or volume. It’s perfect for traders who seek higher accuracy with fewer false signals.
🔵 Dynamic Channel
TechniTrendMaster features a Dynamic Channel, that automatically adapts to market conditions. This channel provides a visual guide to price action, adjusting in real-time based on current trends and volatility. It identifies key support and resistance zones, making it easier to spot breakouts, trend continuations, or potential reversals.
🔵 Volume Integration
Volume is a critical part of TechniTrendMaster, offering deeper insights beyond just price movement. By analyzing volume patterns alongside trends, the indicator highlights the strength and reliability of market shifts. This integration ensures that traders can distinguish between genuine movements backed by solid volume and weak trends that might not hold.
🔵 A Solution for All Trading Styles
TechniTrendMaster’s strength lies in its versatility. No matter your trading approach—be it scalping, swing trading, trend following, or range trading—this indicator adapts to your needs. Here's how it caters to different trader profiles:
🔹Scalpers get precise, quick-response insights through the Short-Term Scalping and High Sensitivity settings, helping them capture minute price movements.
🔹Swing Traders benefit from modes like Reversal, Balanced, and Momentum-Driven, which focus on identifying trends and shifts that occur over several days.
🔹Long-Term Investors will find the Conservative, Low Sensitivity, and Long-Term Analysis modes ideal for filtering noise and sticking to broader market trends.
🔹Volatility Traders can rely on the Volatility Adapted and Volatility Aware options to get accurate signals even during unpredictable periods.
🔓 Unlock Access :
Check out the Author's Instructions or Dm me to Unlock the Access.
