Trend Strength & Direction📌 Assumptions of the "Trend Strength & Direction" Model
This model is designed to measure both trend strength and trend direction, using a modified version of the ADX (Average Directional Index) while also identifying ranging markets. Below is a detailed breakdown of all key assumptions.
1️⃣ Using ADX as the Basis for Trend Strength
Why ADX?
The ADX (Average Directional Index) is one of the most commonly used indicators for measuring trend strength, regardless of direction.
How is it calculated?
ATR (Average True Range) is used to normalize volatility.
Directional movement (+DM and -DM) is smoothed with an Exponential Moving Average (EMA) to obtain the +DI (Positive Directional Indicator) and -DI (Negative Directional Indicator).
Trend strength is derived by normalizing the absolute difference between +DI and -DI, divided by the sum of both.
🔹 Assumption: A high ADX means the trend is strong (whether bullish or bearish).
2️⃣ 50-Period Moving Average for Trend Strength
Why add a moving average?
ADX can be very volatile in the short term.
A 50-period SMA (Simple Moving Average) is used to smooth out trend strength and identify sustained trends.
🔹 Assumption: The SMA reduces false signals caused by short-term ADX spikes.
3️⃣ Identifying a Ranging Market (ADX Below 35)
How is a ranging market defined?
If the trend strength (ADX) is below 35, the market is considered "ranging".
The 35-level threshold is chosen empirically since ADX values below this level often indicate a lack of strong price direction.
When the market is ranging, the background color turns yellow.
🔹 Assumption: ADX < 35 indicates a sideways market, so the indicator colors the background yellow.
4️⃣ Determining Trend Direction Using +DI and -DI
How is direction determined?
If +DI > -DI, the trend is bullish (green).
If -DI > +DI, the trend is bearish (red).
If ADX is below 35, the market is ranging and turns yellow.
🔹 Assumption: Trend direction is determined by the relationship between +DI and -DI, not ADX values.
5️⃣ Background Color to Highlight Market Conditions
Yellow background if ADX < 35 → Ranging market.
Green background if ADX ≥ 35 and bullish.
Red background if ADX ≥ 35 and bearish.
🔹 Assumption: The background color visually differentiates trending vs. ranging phases.
6️⃣ Reference Levels for ADX
Lateral Threshold (35) → Below this, the trend is weak or ranging.
Neutral Threshold (50) → Intermediate level indicating moderate trend strength.
Strong Trend Threshold (75) → Above this, the trend is very strong and possibly overextended.
🔹 Assumption: ADX above 75 indicates a very strong trend, potentially near exhaustion.
🔹 Summary of Key Assumptions
1️⃣ ADX is the core strength metric → Strong trends when ADX > 35, weak below 35.
2️⃣ The 50-period SMA smooths out volatility → Prevents false signals.
3️⃣ Ranging markets are defined as ADX < 35 → Yellow background color.
4️⃣ Trend direction is based on +DI vs. -DI → Green = bullish, Red = bearish.
5️⃣ Background colors enhance readability → Helps distinguish different market phases.
6️⃣ ADX reference levels (35, 50, 75) indicate increasing trend strength.
Conclusion
This model combines ADX with a moving average and color-based logic to highlight trend strength, trend direction, and sideways markets. It helps traders quickly identify the best conditions for entering or exiting trades. 🚀
Komut dosyalarını "bear" için ara
EMA Ribbon overlay with Trend-Based Color TransitionThis indicator visualizes an EMA Ribbon with a trend-based color transition. It helps traders quickly identify market trends and transitions between bullish and bearish movements.
How It Works
Exponential Moving Averages (EMAs)
The indicator calculates 8 EMAs based on user-defined lengths.
Default values range from 21 to 55 periods.
Trend Identification
A bullish trend is detected when all EMAs are stacked in an upward sequence (shorter EMAs above longer ones).
A bearish trend is detected when all EMAs are stacked in a downward sequence (shorter EMAs below longer ones).
Trend Reversal Detection
A trend shift to bullish occurs when a previously bearish trend turns bullish.
A trend shift to bearish occurs when a previously bullish trend turns bearish.
Color Transition Logic
Green when transitioning from a bearish to bullish trend.
Red when transitioning from a bullish to bearish trend.
Visualization
EMAs are plotted on the chart.
The area between EMAs is filled with green or red, depending on the trend shift.
Use Case
Identifying Trend Shifts: Traders can use color transitions to detect potential entry and exit points.
Confirming Market Direction: Helps confirm bullish and bearish trends before making trading decisions.
Enhanced Visual Clarity: The ribbon structure makes it easy to see trend momentum and potential reversals.
This indicator is useful for trend-following strategies and can be combined with other technical analysis tools for better decision-making. 🚀
Market RhythmMarket Rhythm
Overview
If you’re a price-action enthusiast who loves to stay on top of structural shifts in the market, Market Rhythm is here to supercharge your charting experience! This script automatically identifies swing points (HH, LH, HL, LL), detects breaks of structure (BOS), flags changes of character (CHoCH), and offers an optional Trade Tip to guide your next move. It also provides a sleek table summarizing the latest signals so you can confirm momentum or pivot-based ideas at a glance.
What It Does
Swing Detection
Spots the last few pivot highs and lows on your chart.
Labels them as HH (Higher High), LH (Lower High), HL (Higher Low), or LL (Lower Low).
You can display all identified swings or only the most recent ones.
Adaptive Swing Logic
Optionally invert your swing lengths when the script detects a bearish trend, allowing it to adapt pivot detection automatically.
This means if the market flips to a downtrend, pivot detection reconfigures itself in real time.
Break of Structure (BOS)
If price breaks above the previous swing high or below the previous swing low, the script prints a BOS line on the chart.
You can choose whether to confirm breakouts via candle closes or wicks.
CHoCH (Change of Character)
When a BOS flips from bullish to bearish (or vice versa) against the prior direction, it’s renamed CHoCH for added clarity.
Color-coded lines and labels let you instantly see if the market’s “character” is reversing.
Optional Trade Tip
The script can suggest “Look for Long” or “Look for Short” based on your last pivot type and overall trend direction.
This “Trade Tip” is completely optional: enable or disable it in the settings, and the table reconfigures itself automatically.
Information Table
A compact on-chart table gives you an at-a-glance summary of:
Trend – Are we bullish, bearish, or uncertain?
Last BOS – If there’s a recent break of structure, how many bars ago did it happen?
Last CHoCH – If the market made a sudden reversal, how many bars back?
Trade Tip (Optional) – Summarizes whether conditions favor a long or short setup, or if it’s best to wait.
Alerts
Built-in alert conditions let you know when a BOS or CHoCH happens (bullish or bearish).
Turn them on to receive notifications without staring at the screen all day.
Chart Elements
Swing Labels: “HH,” “LH,” “HL,” “LL” near the pivot bars.
BOS & CHoCH Lines: Solid/dashed/dotted lines drawn across your chart, marking the level of structure that got broken.
Color Codes: Bullish signals are tinted in blue-ish tones, bearish signals in pink/purple-ish tones, making it easy to parse your chart visually.
Trade Tip Row: If enabled, instantly highlights “Look for Long” or “Look for Short” in a color-coded cell (blue for long, purple for short, gray if none).
Key Settings
Swing Points
Swing Points Display: Show all pivots, only the last set, or no pivots at all.
Invert Right Swing in Bearish Trend: Automatically swap your “Right Swing Length (High)” and “Right Swing Length (Low)” once the script detects a bearish trend (signaled by the most recent CHoCH).
Left Swing Length / Right Swing Length High/Low: Control how sensitive pivot detection is for highs vs. lows.
Pivot Source: Decide if your pivots are based on candle closes or wicks.
BOS Settings
Show BOS: Hide or reveal the Break of Structure lines entirely.
BOS Confirmation: Candle closes or wicks needed for a “true” breakout.
Line Style / Width / Color: Customize the BOS lines to your liking.
Show Only Last BOS: Show only the freshest BOS or keep historical ones on the chart.
CHoCH Settings
Show CHoCH: Rename the first opposite BOS to CHoCH if desired.
Bullish/Bearish Colors: Pick your favorite color theme for CHoCH lines.
Line Style / Width / Show Only Last CHoCH: Similar customizing options as BOS lines.
Table Settings
Show Table: Toggle the entire summary table on/off.
Position & Text Size: Choose table location (top-left, bottom-right, etc.) and text size (small to huge).
Show 'Trade Tip' row: Decide whether to add a fourth row that suggests potential trade direction. If disabled, the table has only three rows (Trend, Last BOS, and Last CHoCH).
Alerts
Several alert conditions are built in (e.g., “Bullish BOS Alert,” “Bearish BOS Alert,” “CHoCH Alert,” etc.), so you can set notifications for real-time structural shifts.
Why You’ll Love It
Visual Clarity: No more guesswork on which pivot was broken or whether a CHoCH just took place—color-coded lines and labels handle it.
Flexible Pivot Logic: Candle closes vs. wicks, separate right swing lengths for highs and lows, and an adaptive approach if the market goes bearish.
Quick Glance Table: Summaries of the latest signals keep you in the loop without cluttering your chart.
Trade Tip Option: Let the script gently nudge you toward potential bullish or bearish setups—only if you want it to!
Alerts for Everything: BOS and CHoCH can trigger alerts so you never miss a key structural change.
Give Market Rhythm a go, and watch your chart transform into a dynamic story of structure breaks, pivot swings, and potential trade cues. Whether you’re a short-term scalper or a higher-timeframe swing trader, this tool aims to simplify your analysis and keep you laser-focused on what matters.
Adaptive On Balance Volume with Trend█ Introduction
The Adaptive On Balance Volume (AOBV) indicator enhances the traditional On Balance Volume (OBV) by introducing adaptability, volatility detection, and trend analysis. It helps traders identify the direction of volume flow, assess volume momentum, and spot potential reversals in the market.
Detecting market tops and bottoms is crucial for making informed trading decisions. The AOBV indicator offers a method for identifying these points by using an adaptive volatility detection function that highlights potential volume peaks or climaxes, suggesting when a price top or bottom may be forming.
█ Understanding the AOBV
Note: Details on how calculations are conducted can be found at the end of this script description.
1. The Basics of the AOBV Function:
• Adaptive Momentum Calculation: Instead of using a fixed momentum formula, the AOBV uses the original formula for basic momentum and enhances it based on relative strength and applies an adaptive smoothing function.
• Dynamic Smoothing:
• Strong Momentum: When the AOBV detects significant changes (strong momentum), it reduces smoothing. This makes the indicator more responsive to major market movements.
• Weak Momentum: When momentum is weak (small changes), it increases smoothing to filter out market noise.
This adaptability allows the AOBV to more accurately reflect volume momentum, responding promptly during significant market moves and remaining stable during quieter periods.
To determine the trend direction (bullish or bearish), the indicator calculates a signal curve and displays the difference as bars:
• Bar Above the Middle Line: Indicates a bullish trend.
• Bar Below the Middle Line: Indicates a bearish trend.
2. Volatility Function:
The volatility function measures how much the AOBV deviates from its average by comparing it to its smoothed version. It calculates the exponential standard deviation to estimate volatility.
• Purpose: Identifies when volume momentum is near a climax or when a trend is nearing exhaustion.
• How It Works:
• Compares current volatility to previous bars.
• Computes a percentage indicating how often the current volatility is higher than past values.
• If this percentage exceeds a defined threshold, it signals a significant volatility event by plotting a dot above or below the bar.
This pattern typically manifests itself during strong runs on price followed by a period of consolidation. Thus, estimating volatility would be an acceptable measure of when a market is reaching or nearing an implied top or bottom.
3. The Trend Function:
The trend function combines several common indicators to gauge buildup toward a reversal or a continuation of a trend when the AOBV changes direction.
• Components:
• AOBV Strength Percentage: Calculates the percentage change in the AOBV to gauge its strength and direction.
• Supertrend Indicator: Acts as the main driver for trend buildup.
• Vertical Horizontal Filter (VHF): Measures market consolidation, adjusting the trend strength accordingly.
• Adaptive RSI: Further refines the trend strength based on volume momentum.
• Trend Ranking:
• Assigns a trend rank to the AOBV that reflects both market direction and momentum.
• Colors are used to represent different trend strengths: Strong Bullish, Bullish, Strong Bearish, and Bearish.
█ How to Use the AOBV
• Above the Middle Line: Suggests a bullish trend.
• Below the Middle Line: Suggests a bearish trend
• The Volatility dots:
• Indicate strong momentum relative to previous bars.
• Signal that the trend may be nearing a climax or exhaustion.
• Can imply a potential market top or bottom.
• Consolidation can be detected by visually comparing current bars to previous ones. This should be obvious since, and as described, the AOBV bars represent volume momentum.
• The trend function is used to gauge the likelihood of a reversal or a continuation of a trend; trend is represented with several colors: strong bullish trend, bullish trend, strong bearish trend, and finally simply a bearish trend.
It is important to understand that this trend function is not the typical trend function found on other technical indicators. It must be viewed within the context of the AOBV momentum. For example, if AOBV is exerting a bullish trend (bars above middle line), then a bearish trend with no major change in momentum and no volatility indication could mean a false reversal. Conversely, a large charge in AOBV could be a strong indication of a market reversal.
█ Key Features
• Two Display Modes: Curve and Bars:
The Adaptive OBV can be viewed in two different display modes: Curve and Bars Mode. "Curve Mode" offers the classic OBV representation (but as AOBV) with trend, while "Bars Mode" incorporates volatility detection and trend, making it the recommended mode.
• Volatility Function:
• Dots appear above or below the volume bars when significant volatility events are detected.
• The sensitivity can be adjusted by changing the percentage threshold.
• Trend Analysis:
• Helps gauge the likelihood of a trend continuation or reversal.
• Uses color-coded trend ranks for easy interpretation.
• Flexible Lookback Period:
Lookback periods for the main AOBV, its signal line, trend function, and volatility function can be customized.
• Recommendations:
• Match the main lookback period with the volatility period: Ensures consistency in momentum and volatility measurements.
• Match the trend lookback period with the signal AOBV lookback period: Aligns trend analysis with the underlying momentum signals.
Below is a sample demonstrating the utility on a 1- minute chart.
█ Calculation Details:
• AOBV Calculations
The AOBV differs the traditional OBV by focusing on the differences in OBV values rather than absolute price movements. Initially, it calculates the standard OBV by accumulating volume based on whether the closing price is higher or lower than the previous close. Next, it computes the difference between the current OBV and the previous OBV to measure changes in volume momentum. It calculates the average net change and average total change of these OBV differences over a specified period using a selected averaging method (e.g., EMA, SMA). By dividing the average net change by the average total change, it obtains a change ratio that reflects the strength and direction of volume momentum.
This change ratio is then scaled to an RSI-like value between 0 and 100, which is used to derive an adaptive smoothing factor (alpha). The alpha adjusts dynamically—when the change ratio indicates strong momentum, alpha increases, making the indicator more responsive to recent changes; when momentum is weak, alpha decreases, increasing smoothing to filter out noise.
The adaptive OBV is calculated by applying this alpha to combine the current OBV and the previous adaptive OBV value. This adaptive smoothing allows the indicator to adjust its sensitivity based on market conditions, becoming more responsive during strong momentum and more stable during weak momentum.
A smoothed OBV signal line is also computed using weighted moving averages for comparison. By analyzing the difference between the adaptive OBV and this smoothed signal line, the indicator identifies bullish or bearish trends. Positive differences suggest bullish momentum (bars above the middle line), while negative differences indicate bearish momentum (bars below the middle line).
• Volatility Calculations
The volatility function in the AOBV indicator identifies significant changes in volume momentum by estimating the variability of recent momentum shifts. It begins by calculating the difference between the AOBV and its smoothed signal line, capturing the current change in volume momentum. To assess volatility, the function employs exponential smoothing to compute adaptive averages of both the volume and the squared volume over a specified lookback period. By combining these averages, it estimates the current standard deviation of the volume momentum changes, effectively measuring how much the momentum deviates from its average level.
This estimated volatility is then compared to historical volatility values over the lookback period to determine how frequently the current volatility exceeds past levels. If the proportion of times the current volatility is higher than previous values and it surpasses a user-defined threshold, it signals a significant volatility event, indicating a potential volume climax
• Trend Calculations
As outlined earlier in description, the trend function is composed of several components:
The Supertrend indicator calculates dynamic support and resistance levels based on price movements and volatility using the Average True Range. It assesses whether the closing price is above or below these levels to determine the primary trend direction. If the price is above the Supertrend line: The market is considered to be in an uptrend. If the price is below the Supertrend line: The market is considered to be in a downtrend.
The Vertical Horizontal Filter measures the strength of the trend by comparing the price range over a period to the sum of absolute price changes. It does this by comparing the difference between the highest and lowest prices over a given period (the "vertical" movement) to the sum of the absolute differences between consecutive prices (the "horizontal" movement). A higher VHF value indicates a stronger, more directional trend, while a lower value suggests that the market is moving sideways without a clear trend.. If the VHF detects consolidation, it downgrades the trend strength indicated by the Supertrend. This prevents the trend function from overemphasizing the Supertrend's signals when the market lacks clear direction.
The Adaptive RSI Analyzes recent changes in the AOBV to identify whether volume momentum is strengthening or weakening (based on the volume percent change) correlating price movement with volume momentum. It only upgrades or downgrades on a bar by bar basis if price movement is correlating with percent change. This acts as a corrective measure against the VHF since quiet periods (consolidation) can occur between strong moves. The alpha generated from the adaptive function is the same as the one generated with the AOBV calculations.
█ Disclaimer
This script is provided for educational and informational purposes only and should not be considered financial advice. Trading financial instruments carries a high level of risk and may not be suitable for all investors. Before using this script, please consult with a qualified financial advisor to ensure it aligns with your individual circumstances. The author does not guarantee the accuracy or completeness of the script and is not responsible for any losses or damages that may occur from its use. Use this script at your own risk.
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).
Uptrick Signal Density Cloud🟪 Introduction
The Uptrick Signal Density Cloud is designed to track market direction and highlight potential reversals or shifts in momentum. It plots two smoothed lines on the chart and fills the space between them (often called a “cloud”). The bars on the chart change color depending on bullish or bearish conditions, and small triangles appear when certain reversal criteria are met. A metrics table displays real-time values for easy reference.
🟩 Why These Features Have Been Linked Together
1) Dual-Line Structure
Two separate lines represent shorter- and longer-term market tendencies. Linking them in one tool allows traders to view both near-term changes and the broader directional bias in a single glance.
2) Smoothed Averages
The script offers multiple smoothing methods—exponential, simple, hull, and an optimized approach—to reduce noise. Using more than one type of moving average can help balance responsiveness with stability.
3) Density Cloud Concept
Shading the region between the two lines highlights the gap or “thickness.” A wider gap typically signals stronger momentum, while a narrower gap could indicate a weakening trend or potential market indecision. When the cloud is too wide and crosses a certain threshold defined by the user, it indicates a possible reversal. When the cloud is too narrow it may indicate a potential breakout.
🟪 Why Use This Indicator
• Trend Visibility: The color-coded lines and bars make it easier to distinguish bullish from bearish conditions.
• Momentum Tracking: Thicker cloud regions suggest stronger separation between the faster and slower lines, potentially indicating robust momentum.
• Possible Reversal Alerts: Small triangles appear within thick zones when the indicator detects a crossover, drawing attention to key moments of potential trend change.
• Quick Reference Table: A metrics table shows line values, bullish or bearish status, and cloud thickness without needing to hover over chart elements.
🟩 Inputs
1) First Smoothing Length (length1)
Default: 14
Defines the lookback period for the faster line. Lower values make the line respond more quickly to price changes.
2) Second Smoothing Length (length2)
Default: 28
Defines the lookback period for the slower line or one of the moving averages in optimized mode. It generally responds more slowly than the faster line.
3) Extra Smoothing Length (extraLength)
Default: 50
A medium-term period commonly seen in technical analysis. In optimized mode, it helps add broader perspective to the combined lines.
4) Source (source)
Default: close
Specifies the price data (for example, open, high, low, or a custom source) used in the calculations.
5) Cloud Type (cloudType)
Options: Optimized, EMA, SMA, HMA
Determines the smoothing method used for the lines. “Optimized” blends multiple exponential averages at different lengths.
6) Cloud Thickness Threshold (thicknessThreshold)
Default: 0.5
Sets the minimum separation between the two lines to qualify as a “thick” zone, indicating potentially stronger momentum.
🟪 Core Components
1) Faster and Slower Lines
Each line is smoothed according to user preferences or the optimized technique. The faster line typically reacts more quickly, while the slower line provides a broader overview.
2) Filled Density Cloud
The space between the two lines is filled to visualize in which direction the market is trending.
3) Color-Coded Bars
Price bars adopt bullish or bearish colors based on which line is on top, providing an immediate sense of trend direction.
4) Reversal Triangles
When the cloud is thick (exceeding the threshold) and the lines cross in the opposite direction, small triangles appear, signaling a possible market shift.
5) Metrics Table
A compact table shows the current values of both lines, their bullish/bearish statuses, the cloud thickness, and whether the cloud is in a “reversal zone.”
🟩 Calculation Process
1) Raw Averages
Depending on the mode, standard exponential, simple, hull, or “optimized” exponential blends are calculated.
2) Optimized Averages (if selected)
The faster line is the average of three exponential moving averages using length1, length2, and extraLength.
The slower line similarly uses those same lengths multiplied by 1.5, then averages them together for broader smoothing.
3) Difference and Threshold
The absolute gap between the two lines is measured. When it exceeds thicknessThreshold, the cloud is considered thick.
4) Bullish or Bearish Determination
If sma1 (the faster line) is above sma2 (the slower line), conditions are deemed bullish; otherwise, they are bearish. This distinction is reflected in both bar colors and cloud shading.
5) Reversal Markers
In thick zones, a crossover triggers a triangle at the point of potential reversal, alerting traders to a possible trend change.
🟪 Smoothing Methods
1) Exponential (EMA)
Prioritizes recent data for quicker responsiveness.
2) Simple (SMA)
Takes a straightforward average of the chosen period, smoothing price action but often lagging more in volatile markets.
3) Hull (HMA)
Employs a specialized formula to reduce lag while maintaining smoothness.
4) Optimized (Blended Exponential)
Combines multiple EMA calculations to strike a balance between responsiveness and noise reduction.
🟩 Cloud Logic and Reversal Zones
Cloud thickness above the defined threshold typically signals exceeding momentum and can lead to a quick reversal. During these thick periods, if the width exceeds the defined threshold, small triangles mark potential reversal points. In order for the reversal shape to show, the color of the cloud has to be the opposite. So, for example, if the cloud is bearish, and exceeds momentum, defined by the user, a bullish signal appears. The opposite conditions for a bullish signal. This approach can help traders focus on notable changes rather than minor oscillations.
🟪 Bar Coloring and Layered Lines
Bars take on bullish or bearish tints, matching the faster line’s position relative to the slower line. The lines themselves are plotted multiple times with varying opacities, creating a layered, glowing look that enhances visibility without affecting calculations.
🟩 The Metrics Table
Located in the top-right corner of the chart, this table displays:
• SMA1 and SMA2 current values.
• Bullish or bearish alignment for each line.
• Cloud thickness.
• Reversal zone status (in or out of zone).
This numeric readout allows for a quick data check without hovering over the chart.
🟪 Why These Specific Moving Average Lengths Are Used
Default lengths of 14, 28, and 50 are common in technical analysis. Fourteen captures near-term price movement without overreacting. Twenty-eight, roughly double 14, provides a moderate smoothing level. Fifty is widely regarded as a medium-term benchmark. Multiplying each length by 1.5 for the slower line enhances separation when combined with the faster line.
🟩 Originality and Usefulness
• Multi-Layered Smoothing. The user can select from several moving average modes, including a unique “optimized” blend, possibly reducing random fluctuations in the market data.
• Combined Visual and Numeric Clarity. Bars, clouds, and a real-time table merge into a single interface, enabling efficient trend analysis.
• Focus on Significant Shifts. Thick cloud zones and triangles draw attention to potentially stronger momentum changes and plausible reversals.
• Flexible Across Markets. The adjustable lengths and threshold can be tuned to different asset classes (stocks, forex, commodities, crypto) and timeframes.
By integrating multiple technical concepts—cloud-based trend detection, color coding, reversal markers, and an immediate reference table—the Uptrick Signal Density Cloud aims to streamline chart reading and decision-making.
🟪 Additional Considerations
• Timeframes. Intraday, daily, and weekly charts each yield different signals. Adjust the smoothing lengths and threshold to suit specific trading horizons.
• Market Types. Though applicable across asset classes, parameters might need tweaking to address the volatility of commodities, forex pairs, or cryptocurrencies.
• Confirmation Tools. Pairing this indicator with volume studies or support/resistance analysis can improve the reliability of signals.
• Potential Limitations. No indicator is foolproof; sudden market shifts or choppy conditions may reduce accuracy. Cautious position sizing and risk management remain essential.
🟩 Disclaimers
The Uptrick Signal Density Cloud relies on historical price data and may lag sudden moves or provide false positives in ranging conditions. Always combine it with other analytical techniques and sound risk management. This script is offered for educational purposes only and should not be considered financial advice.
🟪 Conclusion
The Uptrick Signal Density Cloud blends trend identification, momentum assessment, and potential reversal alerts in a single, user-friendly tool. With customizable smoothing methods and a focus on cloud thickness, it visually highlights important market conditions. While it cannot guarantee predictive accuracy, it can serve as a comprehensive reference for traders seeking both a quick snapshot of the current trend and deeper insights into market dynamics.
PDF-MA Supertrend [BackQuant]PDF-MA Supertrend
The PDF-MA Supertrend combines the innovative Probability Density Function (PDF) smoothing with the widely popular Supertrend methodology, creating a robust tool for identifying trends and generating actionable trading signals. This indicator is designed to provide precise entries and exits by dynamically adapting to market volatility while visualizing long and short opportunities directly on the chart.
Core Feature: PDF Smoothing
At the foundation of this indicator is the PDF smoothing technique, which applies a Probability Density Function to calculate a smoothed moving average. This method allows the indicator to assign adaptive weights to data points, making it responsive to market changes without overreacting to short-term volatility.
Key parameters include:
Variance: Controls the spread of the PDF weighting. A smaller variance results in sharper responses, while a larger variance smooths out the curve.
Mean: Shifts the PDF’s center, allowing traders to tweak how weights are distributed around the data points.
Smoothing Method: Offers the choice between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for blending the PDF-smoothed data with traditional moving average methods.
By combining these parameters, the PDF smoothing creates a moving average that effectively captures underlying trends.
Supertrend: Adaptive Trend and Volatility Tracking
The Supertrend is a well-known volatility-based indicator that dynamically adjusts to market conditions using the ATR (Average True Range). In this script, the PDF-smoothed moving average acts as the price input, making the Supertrend calculation more adaptive and precise.
Key Supertrend Features:
ATR Period: Determines the lookback period for calculating market volatility.
Factor: Multiplies the ATR to set the distance between the Supertrend and the price. A higher factor creates wider bands, filtering out smaller price movements, while a lower factor captures tighter trends.
Dynamic Direction: The Supertrend flips its direction based on price interactions with the calculated upper and lower bands:
Uptrend : When the price is above the Supertrend, the direction turns bullish.
Downtrend : When the price is below the Supertrend, the direction turns bearish.
This combination of PDF smoothing and Supertrend calculation ensures that trends are detected with greater accuracy, while volatility filters out market noise.
Long and Short Signal Generation
The PDF-MA Supertrend generates actionable trading signals by detecting transitions in the trend direction:
Long Signal (𝕃): Triggered when the trend transitions from bearish to bullish. This is visually represented with a green triangle below the price bars.
Short Signal (𝕊): Triggered when the trend transitions from bullish to bearish. This is marked with a red triangle above the price bars.
These signals provide traders with clear entry and exit points, ensuring they can capitalize on emerging trends while avoiding false signals.
Customizable Visualization Options
The indicator offers a range of visualization settings to help traders interpret the data with ease:
Show Supertrend: Option to toggle the visibility of the Supertrend line.
Candle Coloring: Automatically colors candlesticks based on the trend direction:
Green for long trends.
Red for short trends.
Long and Short Signals (𝕃 + 𝕊): Displays long (𝕃) and short (𝕊) signals directly on the chart for quick identification of trade opportunities.
Line Color Customization: Allows users to customize the colors for long and short trends.
Alert Conditions
To ensure traders never miss an opportunity, the PDF-MA Supertrend includes built-in alerts for trend changes:
Long Signal Alert: Notifies when a bullish trend is identified.
Short Signal Alert: Notifies when a bearish trend is identified.
These alerts can be configured for real-time notifications via SMS, email, or push notifications, making it easier to stay updated on market movements.
Suggested Parameter Adjustments
The indicator’s effectiveness can be fine-tuned using the following guidelines:
Variance:
For low-volatility assets (e.g., indices): Use a smaller variance (1.0–1.5) for smoother trends.
For high-volatility assets (e.g., cryptocurrencies): Use a larger variance (1.5–2.0) to better capture rapid price changes.
ATR Factor:
A higher factor (e.g., 2.0) is better suited for long-term trend-following strategies.
A lower factor (e.g., 1.5) captures shorter-term trends.
Smoothing Period:
Shorter periods provide more reactive signals but may increase noise.
Longer periods offer stability and better alignment with significant trends.
Experimentation is encouraged to find the optimal settings for specific assets and trading strategies.
Trading Applications
The PDF-MA Supertrend is a versatile indicator suited to a variety of trading approaches:
Trend Following : Use the Supertrend line and signals to follow market trends and ride sustained price movements.
Reversal Trading : Spot potential trend reversals as the Supertrend flips direction.
Volatility Analysis : Adjust the ATR factor to filter out minor price fluctuations or capture sharp movements.
Final Thoughts
The PDF-MA Supertrend combines the precision of Probability Density Function smoothing with the adaptability of the Supertrend methodology, offering traders a powerful tool for identifying trends and volatility. With its customizable parameters, actionable signals, and built-in alerts, this indicator is an excellent choice for traders seeking a robust and reliable system for trend detection and entry/exit timing.
As always, backtesting and incorporating this indicator into a broader strategy are recommended for optimal results.
Dual EMA Proportion Variance | JeffreyTimmermansDual EMA Proportion Variance
The "Dual EMA Proportion Variance" Indicator provides a robust way to analyze price trends, volatility, and momentum using dual EMA calculations combined with percentile-based thresholds. This approach enables traders to identify significant bullish and bearish trends while incorporating smoothing and tailoring options for better adaptability.
Key Features
Dual EMA with Proportion Variance
DEMA Calculation: Computes the Dual Exponential Moving Average (DEMA) based on a user-defined length and source.
Proportion Thresholds: Uses percentile-based thresholds (e.g., 60/45, 60/40, 55/45, or 55/40) to determine upper and lower bounds for trend detection. Percentile thresholds help identify key levels of market behavior based on historical data.
Momentum and Volatility Analysis
Momentum Calculation: Computes momentum based on proximity to percentile levels, smoothed using a simple moving average (SMA) if enabled.
Volatility Incorporation: Uses the standard deviation (SD) of the lower percentile (PerDown) to define additional levels of significance.
Smoothing and Trend Calculation
Smoothing Options: Enables optional smoothing for momentum and trend values, helping reduce noise.
EMA Confluence: Adds an additional EMA overlay to enhance the trend confirmation process.
Customizable Visuals
Background Coloring: Dynamically changes the background color based on trend direction (bullish or bearish).
Momentum Plotting: Displays smoothed momentum and EMA confluence lines on the chart, with clear visual differentiation.
Alerts
Bullish Signal: Triggers when the trend transitions from neutral or bearish to bullish.
Bearish Signal: Triggers when the trend transitions from neutral or bullish to bearish.
Inputs Overview
DEMA Inputs
Length (DemaLen): Defines the length of the Dual EMA calculation.
Source (DemaSrc): Allows selection of price data (e.g., high, low, close) for the DEMA computation.
Proportion Settings
Proportion Length (PerLen): Defines the lookback period for percentile calculations.
Proportion Type (pertype): Choose from predefined combinations (e.g., 60/45, 60/40) to customize thresholds.
Smoothing Options
Enable Smoothing (UseSmoothing): Toggle to enable or disable smoothing.
Smoothing Length (SmoothingLen): Specifies the lookback period for smoothing.
Standard Deviation
Length (SDlen): Length of the lookback period used to calculate the standard deviation.
Tailoring
Bullish/Bearish Colors (ColUp/ColDown): Customizable colors for bullish and bearish trends.
Background Colors (ShowBGCol): Toggle to enable or disable background coloring.
Momentum Plot (PlotMomentum): Toggle to show or hide the momentum plot.
EMA Confluence
Enable Extra EMA (IncludeEma): Adds an additional EMA layer for trend confirmation.
Length (EmaLen): Defines the length of the EMA.
Indicator Behavior
Trend Detection
Bullish Trend: When the smoothed momentum (smoothedPT) is above zero and higher than the EMA (if enabled).
Bearish Trend: When the smoothed momentum is below zero and lower than the EMA (if enabled).
Signal Generation
Bullish Signal: Triggered on a crossover of smoothedTrend from negative to positive.
Bearish Signal: Triggered on a crossunder of smoothedTrend from positive to negative.
Customizations
Percentile Adjustments: Choose from various proportion thresholds to suit specific market conditions.
Smoothing Options: Fine-tune the level of noise reduction by adjusting smoothing parameters.
Visual Tailoring: Customize chart visuals, including colors, momentum plots, and background highlights.
EMA Inclusion: Optionally enable the extra EMA for more conservative trend confirmation.
Use Cases
Momentum Trading: Identify bullish or bearish momentum shifts based on percentile levels.
Volatility Assessment: Incorporate standard deviation levels to evaluate price volatility.
Trend Following: Align trades with dominant market trends using percentile thresholds and EMA confirmation.
Alerts for Automation: Set alerts for real-time notifications of potential trade opportunities.
This indicator provides flexibility and precision, making it suitable for a variety of trading styles, including trend following, swing trading, and momentum-based strategies.
This script is inspired by "Patito_1" . However, it is more advanced and includes additional features and options.
-Jeffrey
Directional Regime FilterThe Directional Regime Filter is a comprehensive tool designed to help traders identify the market’s dominant regime—bullish, bearish, or choppy/sideways. By blending a Jurik Moving Average (JMA), an RSI filter, an angle-based trend assessment, and multiple smoothing options, this indicator offers a refined approach to spotting trend direction and potential regime shifts. It highlights each regime visually on the chart, allowing you to quickly see when bullish or bearish momentum is emerging or fading.
Features:
The Jurik Moving Average, known for its low lag and smooth responsiveness, allows the tweaking of length, phase, and power to reduce noise while capturing price action effectively.
Relative Strength Index (RSI) with user-defined length and overbought/oversold levels serve as filters for trend confirmation.
A trend threshold is used to decide if the angle of the moving average is strong enough to be considered bullish or bearish. If the angle remains below this threshold, the market is considered to be “choppy” or sideways.
Multiple smoothing methods like EMA, Hull MA, RMA, WMA, or VWMA can be applied to the RSI and the trend angle calculations to further reduce whipsaws and noise.
Customizable timeframe analysis.
Regime Classification:
Bullish Regime: Displayed when the angle is positive beyond the set threshold and the RSI is bullish.
Bearish Regime: Displayed when the angle is negative beyond the set threshold and the RSI is bearish.
Choppy / Sideways Regime: Occurs when the angle does not exceed the threshold in absolute terms or does not meet RSI criteria.
Using the Directional Regime Filter:
This indicator works best when combined with support/resistance levels, volume analysis, or other momentum tools for confirmation.
Tailor the inputs for intraday, swing, or position trading to find an optimal balance between responsiveness and false signals.
Sudden spikes in volatility can cause rapid changes in the trend angle. Keep an eye on the broader market context. Always manage your risk accordingly.
Disclaimer: This indicator is intended for informational and educational purposes only. It is not financial advice. Always perform your own analysis and due diligence. Past performance does not guarantee future results. Use at your own risk.
Dual EMA Volatility Barrier | JeffreyTimmermansDual EMA Volatility Barrier
The "Dual EMA Volatility Barrier" indicator combines the power of the Double Exponential Moving Average (DEMA) with volatility-based stops to provide a robust trend-following system. This indicator helps traders identify and confirm trends, offering a way to filter out noise using volatility measures like the Average True Range (ATR) and a higher timeframe filter for additional trend validation.
Key Features
Dual Exponential Moving Average (DEMA):
DEMA Calculation: A more responsive moving average that reduces lag compared to standard EMAs. This helps detect trend changes faster.
Source Customization: Allows traders to choose the source (default is close), which can help adapt the strategy for different market conditions.
Volatility Barrier (Vstop):
Volatility-Based Stops: The Vstop is calculated using the Average True Range (ATR) multiplied by a user-defined factor. This forms a dynamic stop level that adjusts based on market volatility.
Trend Direction: The Vstop adapts to whether the market is in an uptrend or downtrend, providing a stop-loss level that moves accordingly.
Higher Timeframe Trend Filter:
Higher Timeframe DEMA: The higher timeframe filter uses a DEMA from a larger timeframe to confirm the trend direction. Only consider bullish signals if the price is above the higher timeframe DEMA.
Customizable Higher Timeframe: Traders can select any timeframe (e.g., D for daily) to check the trend from a higher perspective.
Signal Generation:
Bullish Signal: Triggered when the trend is up, and the price is above the higher timeframe DEMA, with a corresponding Vstop change indicating an upward trend.
Bearish Signal: Triggered when the trend is down and the price is below the higher timeframe DEMA, with a corresponding Vstop change indicating a downward trend.
Trend Reversals: Identifies key trend reversals by showing the transition between uptrend and downtrend states.
Plotting and Visuals:
DEMA and Vstop Plot: The indicator plots both the DEMA and the Vstop on the chart, providing a visual guide for trend and volatility.
Background Color Fill: The area between the DEMA and Vstop is filled with a color (green for bullish, red for bearish) to provide a clear visual representation of the trend.
Signal Labels: Plot arrows and labels ("Bullish" and "Bearish") directly on the chart to highlight trend changes.
Dashboard:
Ticker & Timeframe Display: The dashboard in the bottom-right corner shows the current symbol (ticker) and timeframe, along with the current trend (Bullish or Bearish).
Real-Time Updates: The dashboard updates in real time, providing traders with quick insights into the current market conditions.
Alerts:
Bullish Alert: Activated when the trend is bullish and confirmed by the higher timeframe DEMA.
Bearish Alert: Activated when the trend is bearish and confirmed by the higher timeframe DEMA.
Customizable Messages: Alerts provide details about the ticker and trend conditions for easy action.
Improvements:
Higher Timeframe Filtering: The higher timeframe DEMA filter ensures that traders align their trades with the broader market trend, improving the overall accuracy of signals.
Volatility-Based Stops: The ATR-based volatility stops allow for adaptive risk management that responds to changing market conditions.
Dynamic Signal Detection: The bullish and bearish signals change in real time, providing actionable insights for traders.
Visual and Dashboard Updates: The chart visually reflects the trend and volatility dynamics, while the dashboard provides summary information at a glance.
Customizable Alerts: Alerts based on trend changes make it easy to stay informed without constantly monitoring the chart.
Use Cases:
Trend Following: Ideal for identifying and following strong trends by combining short-term and long-term trend indicators.
Volatility-Based Risk Management: Use the Vstop to manage trade exits, as it adjusts to market volatility.
Higher Timeframe Confirmation: Use the higher timeframe DEMA to ensure that the trade aligns with the overall market trend.
Alerts for Real-Time Action: Set alerts to notify when the market signals a shift, whether bullish or bearish.
The Dual EMA Volatility Barrier is a powerful tool for traders seeking to combine trend-following with volatility management. The integration of DEMA, ATR, and a higher timeframe filter allows for a more nuanced understanding of market conditions, ensuring traders can make informed decisions with minimal lag.
This script is inspired by "viResearch" . However, it is more advanced and includes additional features and options.
-Jeffrey
MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025Short Description of the Indicator "MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025"
This trend-following and momentum-based indicator combines Supertrend, EMA 200, and Stochastic RSI to generate buy and sell signals with improved accuracy.
1. Key Components
Supertrend (3 variations):
Uses three Supertrend indicators with different periods to confirm trend direction.
Buy signal when at least 2 Supertrends are bearish.
Sell signal when at least 2 Supertrends are bullish.
EMA 200 (Exponential Moving Average):
Buy signals only when the price is above EMA 200 (uptrend confirmation).
Sell signals only when the price is below EMA 200 (downtrend confirmation).
Multi-Timeframe Stochastic RSI:
Uses a higher timeframe Stoch RSI (default: 15 minutes) to filter signals.
Buy signal when %K crosses above %D (bullish momentum).
Sell signal when %K crosses below %D (bearish momentum).
2. Signal Generation
📈 Buy Signal Conditions:
✅ At least 2 of 3 Supertrends are bearish
✅ Price is above EMA 200
✅ Stoch RSI shows a bullish crossover (%K > %D)
📉 Sell Signal Conditions:
✅ At least 2 of 3 Supertrends are bullish
✅ Price is below EMA 200
✅ Stoch RSI shows a bearish crossover (%K < %D)
3. Visual Representation & Alerts
Supertrend Lines:
Green = Bullish, Red = Bearish
EMA 200: White Line
Buy/Sell Signals:
Green triangle (below bar) = Buy
Red triangle (above bar) = Sell
Alerts:
Notifies users when a buy or sell signal is triggered.
Background Coloring:
Green for Buy signals, Red for Sell signals
4. Purpose & Benefits
🔥 Combines trend (EMA 200, Supertrend) and momentum analysis (Stoch RSI) for better signal accuracy.
🔥 Works best in trending markets, filtering out false signals in sideways movements.
🔥 Suitable for scalping and day trading, providing clear and structured trade entries.
Combined Multi-Timeframe EMA OscillatorThis script aims to visualize the strength of bullish or bearish trends by utilizing a mix of 200 EMA across multiple timeframes. I've observed that when the multi-timeframe 200 EMA ribbon is aligned and expanding, the uptrend usually lasts longer and is safer to enter at a pullback for trend continuation. Similarly, when the bands are expanding in reverse order, the downtrend holds longer, making it easier to sell the pullbacks.
In this script, I apply a purely empirical and experimental method: a) Ranking the position of each of the above EMAs and turning it into an oscillator. b) Taking each 200 EMA on separate timeframes, turning it into a stochastic-like oscillator, and then averaging them to compute an overall stochastic.
To filter a bullish signal, I use the bullish crossover between these two aggregated oscillators (default: yellow and blue on the chart) which also plots a green shadow area on the screen and I look for buy opportunities/ ignore sell opportunities while this signal is bullish. Similarly, a bearish crossover gives us a bearish signal which also plots a red shadow area on the screen and I only look for sell opportunities/ ignore any buy opportunities while this signal is bearish.
Note that directly buying the signal as it prints can lead to suboptimal entries. The idea behind the above is that these crossovers point on average to a stronger trend; however, a trade should be initiated on the pullbacks with confirmation from momentum and volume indicators and in confluence with key areas of support and resistance and risk management should be used in order to protect your position.
Disclaimer: This script does not constitute certified financial advice, the current work is purely experimental, use at your own discretion.
Trend Force Meter | JeffreyTimmermansTrend Force Meter
The "Trend Force Meter" is an innovative trading tool designed to visualize trend strength and provide precise signals for identifying market dynamics. By combining the Hull Moving Average (HMA) with the Simple Moving Average (SMA), it delivers a comprehensive analysis of trend forces and directions. With customizable smoothing, low-pass filtering, and an advanced color-coded display, this indicator is a valuable addition to any trader's toolkit.
Overview
The Trend Force Meter uses a unique approach to trend analysis by calculating the difference between smoothed HMA and SMA values. This difference is normalized and converted into a visually intuitive gradient to represent bullish and bearish conditions. The indicator also incorporates features for noise reduction and enhanced visualization.
Key Features
Dual Moving Averages
Hull Moving Average (HMA): Provides a highly responsive measure of trend direction and strength.
Simple Moving Average (SMA): Offers a stable and reliable long-term trend baseline.
Customizable Smoothing
Enable/Disable Smoothing: Adjust the sensitivity of the HMA and SMA calculations.
Smoothing Length: Fine-tune the smoothing parameters to match your trading style, balancing between responsiveness and stability.
Low-Pass Filtering
Noise Reduction: Optional low-pass filter reduces market noise, providing clearer trend signals.
Filter Length: Adjustable parameter for fine control over the noise reduction level.
Gradient-Based Visualization
Dynamic Color Coding: Bullish trends are displayed in shades of green, while bearish trends appear in shades of red, providing immediate visual clarity.
Strength Meter: A gradient-based strength meter quantifies the intensity of the current trend, from weak to strong.
Trend Strength Normalization
Normalizes trend strength over a configurable period, ensuring consistent and meaningful readings across various market conditions.
Alerts
Bullish Trend Alert: Notifies when the trend transitions to a bullish phase.
Bearish Trend Alert : Signals when the trend turns bearish.
Enhanced Functionality
Trend Strength Gauge
Displays a real-time strength gauge that visualizes the trend intensity, allowing traders to assess the market at a glance.
Automatically adjusts to reflect normalized trend values, ensuring accuracy across different timeframes and volatility conditions.
Visual Gradient
A refined gradient coloring system dynamically adjusts based on trend direction and intensity, enabling traders to easily interpret market sentiment.
Advanced Customization
Length Settings: Fine-tune HMA and SMA lengths to match specific trading strategies.
Smoothing Options: Toggle smoothing and low-pass filtering on or off as needed.
Gradient Color Range: Provides flexible options for customizing the visual display.
Use Cases
Trend Analysis: Quickly identify the direction and strength of market trends to make informed trading decisions.
Momentum Confirmation : Use the gradient and strength meter to validate potential breakout or reversal scenarios.
Noise Reduction: Employ the low-pass filter to focus on meaningful trends while ignoring short-term market fluctuations.
How It Works
Calculate HMA and SMA: The indicator computes smoothed HMA and SMA values.
Difference Extraction: The difference between the smoothed HMA and SMA forms the core trend signal.
Optional Filtering: Low-pass filtering reduces noise, enhancing the clarity of trend signals.
Normalization: The difference is normalized over the selected period, ensuring consistent scaling.
Visualization: A color-coded gradient and trend strength gauge display the trend’s intensity and direction.
Customization Options
MA Lengths: Adjust the calculation periods for HMA and SMA.
Smoothing and Filtering: Enable or disable smoothing and filtering to refine the signal output.
Color Palette: Choose custom colors to align with personal preferences or trading environments.
Conclusion
The Trend Force Meter is an invaluable addition to any trader’s toolkit, combining cutting-edge techniques with intuitive visuals to make trend analysis more accessible and actionable. Its flexibility and precision cater to various trading strategies, ensuring traders stay ahead of market movements.
This script is inspired by "VanHels1ng" . However, it is more advanced and includes additional features and options.
-Jeffrey
SuperTrend Oscillator# SuperTrend Oscillator - User Guide
## Chapter 1: Introduction
The SuperTrend Oscillator is a versatile and powerful indicator designed to assist traders in identifying market trends, reversals, and momentum. This indicator leverages complex calculations and smoothing techniques to provide actionable signals. The SuperTrend Oscillator can be used for intraday, swing, and positional trading, making it suitable for various market conditions and trading styles.
## Chapter 2: Calculations Overview
The SuperTrend Oscillator relies on a combination of:
Trend Strength : Calculated using a weighted summation of price deviations over short and long periods.
Bull and Bear Lines : Derived from the typical price and smoothed using EMA to highlight underlying market trends.
Signal Lines : The crossing of trend lines and EMAs identifies potential entry and exit points.
### Key Elements:
- Typical Price : An average of open, high, low, and close prices.
- Lowest Low and Highest High **: Identified over specific periods to normalize the oscillator values.
- Exponential Moving Averages (EMA) : Smoothing techniques to reduce noise and improve trend clarity.
- Threshold Levels : Critical levels (e.g., 25, 75) are used to identify oversold and overbought conditions.
## Chapter 3: Oscillator Visualization
The SuperTrend Oscillator plots two main components:
Bull and Bear Lines : Represent short-term and long-term trends.
EMA Crossovers : Highlight shifts in market momentum.
### Candle Width and Color:
- Yellow Candles : Indicate a bullish phase in the short-term trend.
- Fuchsia Candles : Indicate a bearish phase in the short-term trend.
- Green Candles : Signal an uptrend in the long-term trend.
- Red Candles : Signal a downtrend in the long-term trend.
NB: The width of the oscillator candles reflects the strength of the trend, with wider candles indicating stronger trends.
## Chapter 4: Signal Generation
### Entry Signals:
- ** Fast Buy Signal **: Occurs when:
- The short-term trend transitions from bearish (fuchsia) to bullish (yellow).
- The short-term bull line is below 40.
- The long-term bull line is above 50.
- Accumulation/distribution signals are positive.
- ** Fast Sell Signal **: Occurs when:
- The short-term trend transitions from bullish (yellow) to bearish (fuchsia).
- The short-term bull line is above 60.
- The long-term bull line is below 45.
- Accumulation/distribution signals are negative.
### Exit Signals:
- ** Super Long Exit / Short Entry **: Triggered when:
- Both the short-term and long-term trends indicate overbought conditions (bull line > 75).
- Crossunder between trend and bull lines.
- ** Super Short Exit / Long Entry **: Triggered when:
- Both the short-term and long-term trends indicate oversold conditions (bull line < 25).
- Crossover between trend and bull lines.
## Chapter 5 : Trading Strategies
### Trend Following:
1. ** Identify the Trend **:
- Use the color and slope of the oscillator candles.
- Green and yellow candles indicate an uptrend; red and fuchsia candles indicate a downtrend.
2. ** Enter Trades **:
- Look for fast buy signals in an uptrend and fast sell signals in a downtrend.
3. ** Exit Trades **:
- Use super exit signals to close positions.
### Range Trading:
1. ** Identify Ranges **:
- Monitor bull and bear lines oscillating within 25 to 75.
2. ** Enter Trades **:
- Buy near oversold conditions (bull line < 25).
- Sell near overbought conditions (bull line > 75).
### Divergence Trading:
1. ** Identify Divergence **:
- Compare the oscillator with price action.
2. ** Enter Trades **:
- Buy when the price makes a lower low, but the oscillator makes a higher low.
- Sell when the price makes a higher high, but the oscillator makes a lower high.
## Chapter 6: Alerts
The SuperTrend Oscillator includes built-in alerts for:
1. **Super Long**: When both short-term and long-term entry signals align.
2. **BankEntry Long**: When either short-term or long-term entry signals are triggered.
3. **Super Short**: When both short-term and long-term exit signals align.
4. **BankExit Short**: When either short-term or long-term exit signals are triggered.
### Setting Alerts:
To enable alerts, use the alert messages included in the script. These alerts provide timely notifications for trade entries and exits.
## Chapter 7: How to Use
1. **Add the Indicator**:
- Apply the SuperTrend Oscillator to your chart.
2. **Monitor Signals**:
- Use visual cues (colors and shapes) to identify trade opportunities.
3. **Set Alerts**:
- Configure alerts to receive notifications.
### Example Use Case:
- For intraday trading, set the oscillator to shorter periods for quicker signals.
- For swing trading, use longer periods to reduce noise and capture broader trends.
## Chapter 8: Disclaimer
The SuperTrend Oscillator is a tool to aid trading decisions and does not guarantee profits. Always combine it with risk management and other analysis techniques to ensure a comprehensive trading strategy.
Market Regime DetectorMarket Regime Detector
The Market Regime Detector is a tool designed to help traders identify and adapt to the prevailing market environment by analyzing price action in relation to key macro timeframe levels. This indicator categorizes the market into distinct regimes—Bullish, Bearish, or Reverting—providing actionable insights to set trading expectations, manage volatility, and align strategies with broader market conditions.
What is a Market Regime?
A market regime refers to the overarching state or condition of the market at a given time. Understanding the market regime is critical for traders as it determines the most effective trading approach. The three main regimes are:
Bullish Regime:
Characterized by upward momentum where prices are consistently trending higher.
Trading strategies often focus on buying opportunities and trend-following setups.
Bearish Regime:
Defined by downward price pressure and declining trends.
Traders typically look for selling opportunities or adopt risk-off strategies.
Reverting Regime:
Represents a consolidation phase where prices move within a defined range.
Ideal for mean-reversion strategies or range-bound trading setups.
Key Features of the Market Regime Detector:
Dynamic Market Regime Detection:
Identifies the market regime based on macro timeframe high and low levels (e.g., weekly or monthly).
Provides clear and actionable insights for each regime to align trading strategies.
Visual Context for Price Levels:
Plots the macro high and low levels on the chart, allowing traders to visualize critical support and resistance zones.
Enhances understanding of volatility and trend boundaries.
Regime Transition Alerts:
Sends alerts only when the market transitions into a new regime, ensuring traders are notified of meaningful changes without redundant signals.
Alert messages include clear regime descriptions, such as "Market entered a Bullish Regime: Price is above the macro high."
Customizable Visualization:
Background colors dynamically adjust to the current regime:
Blue for Reverting.
Aqua for Bullish.
Fuchsia for Bearish.
Option to toggle high/low line plotting and background highlights for a tailored experience.
Volatility and Expectation Management:
Offers insights into market volatility by showing when price action approaches, exceeds, or reverts within macro timeframe levels.
Helps traders set realistic expectations and adjust their strategies accordingly.
Use Cases:
Trend Traders: Identify bullish or bearish regimes to capture sustained price movements.
Range Traders: Leverage reverting regimes to trade between defined support and resistance zones.
Risk Managers: Use macro high and low levels as dynamic stop-loss or take-profit zones to optimize trade management.
The Market Regime Detector equips traders with a deeper understanding of the market environment, making it an essential tool for informed decision-making and strategic planning. Whether you're trading trends, ranges, or managing risk, this indicator provides the clarity and insights needed to navigate any market condition.
tabbys star [Algo Seeker]Tabbys Star Mission:
Identifying key supply and demand areas for entries, identifying trends for holding positions, and locating potential re-entry or exit points is incredibly useful for traders and investors. This algorithm is designed to simplify these critical processes by providing actionable and intuitive tools directly on the chart.
🟢 Supply & Demand Zones (S&D)
The algorithm identifies key entry points by creating supply and demand blocks that automatically expand across the chart. These blocks remain active until invalidated, helping traders maintain awareness of significant price levels. When a new pivot point is identified, the algorithm generates a new supply or demand block that starts expanding from that pivot. This functionality enables traders to monitor evolving zones while referencing older ones, which might still act as weaker pivot points. These areas are incredibly unique and useful for traders, as they dynamically adapt to price action and provide clear visual cues for decision-making.
🟢 Continuation and Exit Signals
The algorithm also highlights areas for potential re-entries or exits. When the price moves beyond a supply or demand block, arrows are displayed to signal that this area may now be optimal for re-entering a trade or exiting a position.
Separating this logic from supply and demand zones offers significant flexibility for traders. For example, those who wish to hold positions initiated at an order block can confidently wait for these signals before taking profits. Similarly, traders who missed the initial opportunity at an order block can use these signals to evaluate new trade opportunities. This feature is incredibly useful for adapting to evolving market conditions.
🟩 Important Note
Arrow/triangle signals are not definitive indicators of upward or downward movement; they serve as calls to attention. These signals should be analyzed in conjunction with supply and demand zones.
For example, if a signal suggests bullish movement but the price falls below the current supply or demand zone, the signal was merely a call to attention. In such cases, it may indicate the need to set a stop loss or even consider a bearish trade below the zone.
Signals should be viewed as one of several factors to consider and should never be traded on in isolation.
🟢 Trendlines for Additional Confluence
In addition to supply and demand zones, the algorithm generates trendlines to help traders better visualize market trends. These trend lines are drawn from pivot points within the supply and demand blocks, providing an additional layer of confluence. For traders who rely on trendline breaks to make decisions, this feature enhances the overall analysis and adds value to the trading strategy.
🟢 Candle Color Coding
To further enhance clarity, the algorithm color-codes candles based on their position relative to the most recent order block:
Bullish: When the price is above the most recent order block.
Neutral: When the price is within the order block.
Bearish: When the price is below the order block.
This color-coding offers a unique and useful visual representation of the current market sentiment, allowing traders to assess price action at a glance.
Settings Overview
🟢Calculation Strength
This setting allows the user to choose how strict the algorithm should be when calculating data. The Standard option generates more entry and exit signals because the calculations are more lenient.. The Restrictive option uses stricter calculations, resulting in fewer signals for entries and exits.
🟢Use Current Bar:
If checked, the conditions will act on the current bar (real-time updates). If unchecked, the conditions will act after the bar closes. For a non-repainting indicator, leave this unchecked.
🟢Session Type:
Both:
Includes market and after-market hours.
RTH:
Regular trading hours only.
🟢Max Trend Lines:
"1": No trend lines will be shown.
"2" or higher: Displays trend lines based on pivot points.
🟢Bar Color:
Allows selection of candle colors based on the parameters discussed above.
🟢Signal Colors:
As described earlier.
🟢Alerts
For when a signal is created.
Conclusion
This tool is designed to hopefully assist investors and traders by:
Identifying key supply and demand areas for entries.
Highlighting trends for holding positions.
Pinpointing potential re-entry or exit points.
MA Trend DashboardMA Trend Dashboard - Features
The MA Trend Dashboard is a versatile and user-friendly indicator designed to provide a comprehensive overview of market trends across multiple timeframes using moving averages (MAs). Here's what this script offers:
1. Dashboard Display
A compact and visually appealing dashboard is overlaid on the chart.
The dashboard displays the trend direction and deviation percentages for 30-minute, 1-hour, and 4-hour timeframes.
Users can position the dashboard in different locations (Top Right, Middle Right, or Bottom Right) and customize the text size (Tiny, Small, Normal).
2. Multi-Timeframe Trend Analysis
The script uses the concept of Multi-Timeframe (MTF) analysis to assess trends across:
30-minute (30m)
1-hour (1h)
4-hour (4h)
Each timeframe's trend is evaluated using the selected moving average method.
3. Customizable Moving Average Methods
Users can choose from various moving average calculation methods:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
SMMA (Smoothed Moving Average or RMA)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
This flexibility allows for tailored trend analysis based on the user's preferred methodology.
4. Visual Trend Indicators
Clear visual cues indicate the trend direction for each timeframe:
↑ (Up): Bullish trend.
↓ (Down): Bearish trend.
↘ (Weak Up): Mild bullishness.
↗ (Weak Down): Mild bearishness.
The background color of each cell dynamically changes based on the trend:
Green: Uptrend.
Red: Downtrend.
5. Deviation Percentage
The dashboard includes the percentage difference between the current price and the moving average for each timeframe.
Positive percentages are highlighted in green, and negative percentages in red.
6. Customization Options
Text Color: Allows users to adjust the color of the text displayed in the dashboard.
MA Length: Users can set the period for the moving averages (default is 50).
7. Dynamic Requests
Utilizes TradingView's dynamic_requests feature to ensure accurate real-time data across different timeframes without cluttering the chart.
Usage
This indicator is ideal for traders who want a quick and reliable snapshot of market trends across multiple timeframes. It is particularly suited for intraday and swing trading strategies, offering insights into price momentum and potential reversals.
Absorption AnalysisThe Absorption Analysis indicator identifies potential market turning points by analyzing volume, price patterns, and market structure across multiple dimensions. It combines traditional technical signals with volume analysis and success rate tracking to provide high-probability reversal opportunities.
Signal Types & Classification
1. Pattern-Based Signals (W-Bottom & M-Top)
**W-Bottom Pattern**
- Pattern Structure:
* Price makes a low below the lower Bollinger Band
* First bounce occurs with price moving higher
* Secondary test forms a higher low
* Final confirmation with bullish close above lower band
- Volume Requirements:
* Must exceed 1.5x the 20-period volume moving average
- Visual Indicators:
* Blue dotted line appears at pattern low
* Line remains until broken by price
* Label shows volume and percentage from baseline
- Success Tracking:
* Pattern stored in historical database
* Success measured by upward price movement
* Historical success rate displayed with signal
**M-Top Pattern**
- Pattern Structure:
* Price makes a high above the upper Bollinger Band
* First pullback occurs with price moving lower
* Secondary push forms a lower high
* Final confirmation with bearish close below upper band
- Volume Requirements:
* Must exceed 1.5x the 20-period volume moving average
- Visual Indicators:
* Orange dotted line appears at pattern high
* Line remains until broken by price
* Label shows volume and percentage from baseline
- Success Tracking:
* Pattern stored in historical database
* Success measured by downward price movement
* Historical success rate displayed with signal
2. Technical Reversals
**Bullish Reversal**
- Entry Conditions:
* Previous candle closes below lower Bollinger Band
* Previous candle must be bearish
* Current candle closes above lower band
* Current candle must be bullish
- Volume Validation:
* Volume must exceed 1.5x 20-period MA
- Visual Markers:
* Green label at reversal point
* Includes volume context
- Trading Implementation:
* Suggests strong buying pressure overcoming selling
* Often marks end of downward price exhaustion
**Bearish Reversal**
- Entry Conditions:
* Previous candle closes above upper Bollinger Band
* Previous candle must be bullish
* Current candle closes below upper band
* Current candle must be bearish
- Volume Validation:
* Volume must exceed 1.5x 20-period MA
- Visual Markers:
* Red label at reversal point
* Includes volume context
- Trading Implementation:
* Suggests strong selling pressure overcoming buying
* Often marks end of upward price exhaustion
3. Volume-Based Reversals
**High Volume Bear to Bull**
- Signal Formation:
* High volume bearish candle (2.5σ above mean)
* Immediately followed by high volume bullish candle
- Market Psychology:
* Shows strong selling being absorbed by buying
* Often indicates institutional accumulation
- Visual Identification:
* Purple "HV Bull" label
* Includes volume statistics
- Trading Context:
* Strong signal for trend reversal
* Most effective at support levels
**High Volume Bull to Bear**
- Signal Formation:
* High volume bullish candle (2.5σ above mean)
* Immediately followed by high volume bearish candle
- Market Psychology:
* Shows strong buying being absorbed by selling
* Often indicates institutional distribution
- Visual Identification:
* Purple "HV Bear" label
* Includes volume statistics
- Trading Context:
* Strong signal for trend reversal
* Most effective at resistance levels
4. Absorption Signals
**Buy Absorption**
- Technical Requirements:
* High volume conditions (2.5σ above mean)
* Spread momentum must be negative
* Fast spread MA below slow spread MA
* Bullish closing candle
- Market Interpretation:
* Indicates buying pressure absorbing selling
* Often precedes upward movement
- Visual Markers:
* Red label with volume context
* Placed at significant price levels
**Sell Absorption**
- Technical Requirements:
* High volume conditions (2.5σ above mean)
* Spread momentum must be negative
* Fast spread MA below slow spread MA
* Bearish closing candle
- Market Interpretation:
* Indicates selling pressure absorbing buying
* Often precedes downward movement
- Visual Markers:
* Green label with volume context
* Placed at significant price levels
Volume Analysis Components
Volume Calculation
- Rolling baseline volume calculated based on timeframe:
* Monthly: 6-period sum
* Weekly: 12-period sum
* Daily: 20-period sum
* Intraday: Proportional to timeframe
- Net volume = Bullish volume - Bearish volume
- Volume percentage calculated against baseline
- High volume threshold = 2.5 standard deviations
- Pattern volume threshold = 1.5x 20MA
Exchange Aggregation
- Primary symbol (chart) always included
- Optional secondary symbol data
- Combines volume data for stronger signals
- Useful for crypto markets with split liquidity
Success Rate Implementation
Rate Calculation
- Based on user-defined lookback period
- Separately tracked for each pattern type
- Bullish patterns: Percentage of times price moved higher
- Bearish patterns: Percentage of times price moved lower
- Used to filter alerts with minimum threshold
Pattern Storage
- Arrays maintain historical pattern data
- Limited to lookback period size
- Oldest patterns removed as new ones form
- Constantly updated success rates
## Trading Implementation
### Signal Priority
1. Pattern Signals (W/M)
- Highest reliability due to complex criteria
- Must meet all volume and price conditions
- Line break provides clear invalidation
2. High Volume Reversals
- Strong indication of institutional activity
- Clear volume confirmation
- Immediate reversal potential
3. Technical Reversals
- Traditional technical analysis backbone
- Enhanced with volume confirmation
- Good for trend trading
4. Absorption Signals
- Early warning system
- Best used with other confirmations
- Good for position building
Best Practices
- Look for multiple signal types aligning
- Consider higher timeframe context
- Use success rates to filter setups
- Monitor volume context closely
- Wait for candle closes
- Use line breaks for clear invalidation
- Consider market structure
- Pay attention to success rates
- Use appropriate position sizing
Risk Management
- Use pattern breaks for stop losses
- Consider historical success rates
- Larger positions for multiple signal confluence
- Respect timeframe hierarchy
- Monitor volume for confirmation
- Use proper position sizing
- Consider market volatility
This indicator provides a comprehensive framework for identifying potential market turning points while maintaining rigorous risk management through multiple confirmation factors and clear invalidation levels.
Williams BBDiv Signal [trade_lexx]📈 Williams BBDiv Signal — Improve your trading strategy with accurate signals!
Introducing Williams BBDiv Signal , an advanced trading indicator designed for a comprehensive analysis of market conditions. This indicator combines Williams%R with Bollinger Bands, providing traders with a powerful tool for generating buy and sell signals, as well as detecting divergences. It is ideal for traders who need an advantage in detecting changing trends and market conditions.
🔍 How signals work
— A buy signal is generated when the Williams %R line crosses the lower Bollinger Bands band from bottom to top. This indicates that the market may be oversold and ready for a rebound. They are displayed as green triangles located under the Williams %R graph. On the main chart, buy signals are displayed as green triangles labeled "Buy" under candlesticks.
— A sell signal is generated when the Williams %R line crosses the upper Bollinger Bands band from top to bottom. This indicates that the market may be overbought and ready for a correction. They are displayed as red triangles located above the Williams %R chart. On the main chart, the sell signals are displayed as red triangles with the word "Sell" above the candlesticks.
— Minimum Bars Between Signals
The user can adjust the minimum number of bars between the signals to avoid false signals. This helps to filter out noise and improve signal quality.
— Mode "Wait for Opposite Signal"
In this mode, buy and sell signals are generated only after receiving the opposite signal. This adds an additional level of filtering and helps to avoid false alarms.
— Mode "Overbought and Oversold Zones"
A buy signal is generated only when Williams %R is below the -80 level (Lower Band). A sell signal is generated only when Williams %R is above -20 (Upper Band).
📊 Divergences
— Bullish divergence occurs when Williams%R shows a higher low while price shows a lower low. This indicates a possible upward reversal. They are displayed as green lines and labels labeled "Bull" on the Williams %R chart. On the main chart, bullish divergences are displayed as green triangles labeled "Bull" under candlesticks.
— A bearish divergence occurs when Williams %R shows a lower high, while the price shows a higher high. This indicates a possible downward reversal. They are displayed as red lines and labels labeled "Bear" on the Williams %R chart. On the main chart, bearish divergences are displayed as red triangles with the word "Bear" above the candlesticks.
— 🔌Connector Signal🔌 and 🔌Connector Divergence🔌
It allows you to connect the indicator to trading strategies and test signals throughout the trading history. This makes the indicator an even more powerful tool for traders who want to test the effectiveness of their strategies on historical data.
🔔 Alerts
The indicator provides the ability to set up alerts for buy and sell signals, as well as for divergences. This allows traders to keep abreast of important market developments without having to constantly monitor the chart.
🎨 Customizable Appearance
Customize the appearance of Williams BBDiv Signal according to your preferences to make the analysis more convenient and visually pleasing. In the indicator settings section, you can change the colors of the buy and sell signals, as well as divergences, so that they stand out on the chart and are easily visible.
🔧 How it works
— The indicator starts by calculating the Williams %R and Bollinger Bands values for a certain period to assess market conditions. Initial assumptions are introduced for overbought and oversold levels, as well as for the standard deviation of the Bollinger Bands. The indicator then analyzes these values to generate buy and sell signals. This classification helps to determine the appropriate level of volatility for signal calculation. As the market evolves, the indicator dynamically adjusts, providing information about the trend and volatility in real time.
Quick Guide to Using Williams BBDiv Signal
— Add the indicator to your favorites by clicking on the star icon. Adjust the parameters, such as the period length for Williams %R, the type of moving average and the standard deviation for Bollinger Bands, according to your trading style. Or leave all the default settings.
— Adjust the signal filters to improve the quality of the signals and avoid false alarms, adjust the filters in the "Signal Settings" section.
— Turn on alerts so that you don't miss important trading opportunities and don't constantly sit at the chart, set up alerts for buy and sell signals, as well as for divergences. This will allow you to keep abreast of all key market developments and respond to them in a timely manner, without being distracted from other business.
— Use signals. They will help you determine the optimal entry and exit points for your positions. Also, pay attention to bullish and bearish divergences, which may indicate possible market reversals and provide additional trading opportunities.
— Use the 🔌Connector🔌 for deeper analysis and verification of the effectiveness of signals, connect it to your trading strategies. This will allow you to test signals throughout the trading history and evaluate their accuracy based on historical data. Include the indicator in your trading strategy and run testing to see how buy and sell signals have worked in the past. Analyze the test results to determine how reliable the signals are and how they can improve your trading strategy. This will help you make better informed decisions and increase your trading efficiency.
Index Trend MapThe Index Trend Map is a versatile and powerful tool designed to provide a sentiment heatmap for major market indices. This indicator tracks the average trend direction across multiple indices data points, including a default setting for S&P 500 Futures ( NYSE:ES ), Nasdaq 100 Futures ( SEED_ALEXDRAYM_SHORTINTEREST2:NQ ), Dow Jones Futures ( SEED_CRYPTOSLATE_VANTAGEPOINT:YM ), Russell 2000 Futures ( CAPITALCOM:RTY ) and traditionally inverse data points like the VIX– allowing traders to quickly assess overall market sentiment and make more informed trading decisions.
Key Features:
Sentiment Heatmap: Displays a color-coded heatmap for indices, with green indicating bullish sentiment and red indicating bearish sentiment. Each index’s sentiment is calculated on a scale from 0 to 100, with 50 as the neutral point.
Bullish/Bearish Percentages: Real-time calculations of the percentage of indices in bullish or bearish territory are displayed in a dynamic table for easy reference.
Tracks Major Indices: Monitors popular indices or their related futures contracts with the option to include custom tickers.
Inverse Sentiment Options: Allows users to invert sentiment calculations for specific symbols (e.g., VIX or DXY) to reflect their inverse relationship to broader market trends.
Customizable Moving Averages: Choose from SMA, EMA, WMA, or DEMA to tailor the trend calculation to your trading strategy.
Overlay Sentiment Colors on Candles: Option to display sentiment as green (bullish) or red (bearish) directly on price chart candles, enhancing market trend visibility.
Heatmap Visualization:
The heatmap assigns each index a sentiment score based on its calculated average.
Sentiment values above the 50 midline indicate bullish sentiment, while those below 50 indicate bearish sentiment.
Dynamic Table:
Located in the bottom right corner, this table displays real-time percentages of indices that are bullish and bearish. Example: If 4 out of 6 index data points are bullish, the table will show 66.6% bullish and 33.3% bearish.
Best Used For:
Intraday Traders: Assess real-time index sentiment during active market hours to make data-driven trading decisions.
Swing Traders: Monitor index trends over time to identify shifts in market sentiment and positioning opportunities.
Market Breadth Analysis: Identify broader market strength or weakness by analyzing multiple indices simultaneously.
RSI+EMA+MZONES with DivergencesFeatures:
1. RSI Calculation:
Uses user-defined periods to calculate the RSI and visualize momentum shifts.
Plots key RSI zones, including upper (overbought), lower (oversold), and middle levels.
2. EMA of RSI:
Includes an Exponential Moving Average (EMA) of the RSI for trend smoothing and confirmation.
3. Bullish and Bearish Divergences:
Detects Regular divergences (labeled as “Bull” and “Bear”) for classic signals.
Identifies Hidden divergences (labeled as “H Bull” and “H Bear”) for potential trend continuation opportunities.
4. Customizable Labels:
Displays divergence labels directly on the chart.
Labels can be toggled on or off for better chart visibility.
5. Alerts:
Predefined alerts for both regular and hidden divergences to notify users in real time.
6. Fully Customizable:
Adjust RSI period, lookback settings, divergence ranges, and visibility preferences.
Colors and styles are easily configurable to match your trading style.
How to Use:
RSI Zones: Use RSI and its zones to identify overbought/oversold conditions.
EMA: Look for crossovers or confluence with divergences for confirmation.
Divergences: Monitor for “Bull,” “Bear,” “H Bull,” or “H Bear” labels to spot key reversal or continuation signals.
Alerts: Set alerts to be notified of divergence opportunities without constant chart monitoring.
Awesome Oscillator Twin Peaks Strategy
1. The indicator identifies both bullish and bearish twin peaks:
- Bullish: Two consecutive valleys below zero, where the second valley is higher than the first
- Bearish: Two consecutive peaks above zero, where the second peak is lower than the first
2. Visual elements:
- AO histogram with color-coding for increasing/decreasing values
- Triangle markers for confirmed twin peak signals
- Zero line for reference
- Customizable colors through inputs
3. Built-in safeguards:
- Minimum separation between peaks to avoid false signals
- Maximum time window for pattern completion
- Clear signal reset conditions
4. Alert conditions for both bullish and bearish signals
To use this indicator:
1. Add it to your TradingView chart
2. Customize the input parameters if needed
3. Look for triangle markers that indicate confirmed twin peak patterns
4. Optional: Set up alerts based on the signal conditions
Sentiment Score Indicator V1.1Sentiment Score Indicator
The Sentiment Score Indicator attempts to gauge market sentiment by analyzing price action relative to Bollinger Bands and multiple Simple Moving Averages (SMAs). The indicator dynamically calculates a sentiment score ranging from -100 (Strong Bearish) to +100 (Strong Bullish) to provide insight into potential market direction and strength.
How the Sentiment Score is Calculated
The sentiment score is derived through a multi-step process that evaluates market conditions:
Bollinger Bands Analysis:
The script assesses the price’s position relative to the upper and lower Bollinger Bands.
When the price approaches or exceeds the upper band, it indicates potential overbought conditions and contributes to a bullish sentiment score.
Conversely, when the price nears or falls below the lower band, it signals potentially oversold conditions, contributing to a bearish sentiment score.
The magnitude of deviation from these bands influences the score, making it sensitive to volatility.
Moving Averages Evaluation:
The script incorporates multiple hardcoded SMAs to identify trends.
If the price is above these SMAs, the score is adjusted upward to reflect more bullish momentum.
If the price is below these SMAs, the score decreases to reflect more bearish momentum.
Each SMA provides a different perspective on short-term and long-term trends and are used in conjunction with determining the overall score at any given time.
Adaptive Scaling:
A scaling factor adjusts the sensitivity of the sentiment score based on market conditions.
This ensures the indicator remains responsive in both high-volatility and low-volatility environments.
Key Features
Dynamic Sentiment Score : Real-time sentiment ranging from Strong Bullish to Strong Bearish.
Combines Bollinger Bands and SMAs to assess overbought/oversold conditions and trend strength.
Color-Coded Labels: Intuitive color coding for quick interpretation of sentiment.
Works effectively on multiple time frames, including monthly, weekly, daily, intraday, and even down to 1-second chart data.
Toggle Option: Users can choose to display the sentiment score only on the last candle to reduce chart clutter.
Sentiment Score Ranges
Score Range Sentiment Color
+75 to +100 Strong Bullish Dark Green 🟩
+50 to +75 Bullish Green 🟩
+25 to +50 Medium Bullish Light Green 🟩
+10 to +25 Slightly Bullish Yellow-Green 🟨
-10 to +10 Neutral Yellow 🟨
-25 to -11 Slightly Bearish Orange-Yellow 🟧
-50 to -26 Medium Bearish Orange 🟧
-75 to -51 Bearish Dark Orange 🟥
-100 to -76 Strong Bearish Dark Red 🟥
How to Use
Add the Indicator to your preferred candlestick chart.
Interpret the Sentiment Labels displayed above or below each candlestick (you can toggle to only show the label on the last candle or all candles), this will be a numerical value accompanied by the range description (as per the above Sentiment Score Ranges).
Use the Color-Coded Scores to quickly gauge sentiment strength and direction.
Combine with Other Tools: For better analysis, use this indicator alongside other forms of technical analysis.
Disclaimer
This tool is for educational purposes only and does not constitute financial advice. Always conduct your own research and practice proper risk management.
