StockLeave Risk ModuleOverview
This indicator provides a visual reference to determine position size and approximate risk-to-reward. It is designed to support trade planning by calculating equalized risk per trade based on a stop distance derived from volatility. Additionally, it displays potential outcomes relative to structural references on the chart, such as the mean price and Keltner band extremes.
This tool is not intended for precision or predictive analysis, but rather for estimative usage; offering supportive reference points that allow for quick evaluation of risk-to-reward and position size.
Equalized Risk Per Trade
The indicator calculates the number of shares that can be traded while maintaining consistent monetary risk. The formula is based on the distance between the current price and the visual stop reference, adjusting the position size proportionally.
Position Size = Dollar Risk / (Entry Price - Stop Price)
The monetary risk is calculated as a percentage of account size; both of which can be set in the indicator’s settings tab. This creates a consistent risk exposure across trades regardless of volatility or structural stop distance.
Stop Placement Reference
The visual stop reference is by default located at 2× ATR from the current price, providing a volatility-based anchor. While this value can be customized, it serves as a practical reference when a structural stop has not yet been defined. It allows quick scenario building and visual feedback.
Visual Risk-Reward Projection
The module provides approximate reward-to-risk (R/R) projections based on dynamic price references. These should not be interpreted as practical trade targets, but rather as estimations of average price volatility and structural movement. Their purpose is to help assess directional potential relative to predefined risk.
Upper Keltner Band (Upper): Represents the upper boundaries. In bullish events, prices may expand towards this zone, completing movement from mean to upper structural extreme.
Moving Average (Mean): Represents the midpoint of structure. In reversion events, prices may revert toward this zone, completing the move from extreme back to mean.
Lower Keltner Band (Lower): Represents the lower boundaries. In bearish events, price may expand towards this zone, completing movement from mean to lower structural extreme.
The tool calculates the R/R multiple between the current price and each of these reference points in relation to the visual stop reference. This allows for a quick evaluation of risk-reward potential based on structural context and prevailing volatility. These are visible in the Signal Bars indicator. These are reference points and should should be interpreted with contextual structure.
Chart Elements
ATR Dots: Plotted above and below the current price as reference points for theoretical stop placement. The default distance is set to 2× ATR but can be adjusted in the indicator settings.
Information Table: Displays the number of shares to trade, along with R/R projections to the mean and both Keltner bands. This offers a quick overview for evaluating position sizing and potential reward relative to risk.
This indicator is accompanied by the Signal Bars Indicator .
Volatilidade
StockLeave Signal BarsOverview
The Signal Bars indicator identifies potential trade entries by highlighting expansion and reversal bars. These are defined by individual bar characteristics and further refined by contextual factors such as price position relative to structural boundaries. The purpose is to locate bars that signal potential market initiation or reaction.
Expansion Bars
The expansion captures bars that breakout from a period of reduced volatility. These often initiate directional movement and are recognized using a two-part definition.
Range Expansion: The current bar’s range must exceed the average range. This ensures the move is comparatively large and stands out from recent behavior.
Range Compression: The bars before the expansion must be below a threshold of the average range. This confirms a low-volatility lead-up, strengthening the likelihood that the expansion has significance.
This script applies additional filters: a local breakout ensures price breaks the previous bar’s high or low; a strong close confirms directional intent by requiring the close near the bar’s extreme; mean proximity checks that expansion starts near the mean price using a dynamic buffer relative to bar size; a directional filter blocks signals during extended directional runs; and consecutive suppression prevents multiple expansions to show in succession.
Pin Bar Reversals
Reversal setups aim to identify potential turning points after price has reached a zone of imbalance or extension. These bars typically exhibit long tails and occur near structural boundaries such as the outer Keltner bands. Their design favors short-term price rejection and potential reversal.
Tail Dominance: The wick (upper or lower) must be at least twice the size of the bar’s body and account for more than a certain percentage of the entire bar’s range. This ensures the bar represents strong rejection rather than mere indecision.
Close Location: The bar must close near the opposite end of its wick to confirm that rejection was held into the close. For bearish reversals, the close must be near the low; for bullish reversals, near the high. This reinforces intent and pressure in the direction of the reversal.
This script applies additional filters: local extreme ensures the bar marks a local turning point to confirm reversals occur after extension, not within structure; boundary proximity requires the bar to appear near the outer Keltner Bands, aligning bearish signals with the upper band and bullish with the lower, indicating price has reached an area of likely imbalance.
Snapback Reversals
Snapbacks are structured to capture failed extensions outside structural boundaries. While traditional reversals are identified by a single bar with a rejecting tail, snapbacks use a two-bar sequence: a strong impulse bar that closes beyond the bands, followed by a bar that reclaims in the opposite direction. The difference lies in the formation, not the intent, as both anticipate a reversion after price imbalance.
Impulse Bar Criteria: The previous bar must close beyond the upper (bullish impulse) or lower (bearish impulse) Keltner band. It must also close near its extreme and have a large body. This confirms strong directional pressure.
The current bar must close beyond the midpoint of the previous bar’s body and reverse the prior direction. This signals a failure to follow through and a snapback into the prior range. These will show only when price extends beyond the boundaries. This ensures that the setup targets failed breakouts rather than normal pullbacks or mid-range fluctuation.
Alert Configuration
The Signal Bars indicator includes an alert function with two built-in conditions to help reduce screen time and focus attention when predefined conditions are met.
Expansion: Alerts when a bar meets all conditions for a valid expansion.
Reversal: Alerts when a bar meets the criteria for a pin bar or snapback reversal.
These are built into the indicator with the alertcondition() function and can be turned on whenever the indicator is applied to a chart. Each alert includes a default message that uses dynamic placeholders; {{ticker}} for the symbol and {{interval}} for the timeframe.
Create a new alert and select the condition “StockLeave Signal Bars.”
Then select from the two options: Expansion and Reversal.
For expansions, select “once per bar” to capture developing momentum.
For reversals, use “once per bar close” to confirm rejection setups.
Apply alerts across multiple timeframes to improve coverage. Lower timeframes are better suited for fast-moving markets, while higher timeframes work well in slower or more selective environments. This process only needs to be done once. The created alerts can then be toggled on or off from the Alerts panel as preferred, without requiring reconfiguration.
Applied Discretion
The indicator functions on fixed logic, but interpretation always takes precedence. Consider price action, structure, volatility, and broader market context. Most signals will not lead to trades; while many may appear in a session, only a select few will align with context and warrant execution based on discretion.
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
BBTrend ModularBBTrend Modular Indicator
The BBTrend Modular Indicator is designed to provide multiple perspectives on market dynamics by leveraging Bollinger Bands. It consists of several independent modules, each analyzing a specific aspect of price action and volatility. By default, all modules are enabled except the Adaptive BBTrend module, which remains off unless activated.
Modules Overview
1. BBTrend (Basic Module)
- Purpose: Calculates the difference between the absolute differences of the upper and lower Bollinger Bands for short and long periods.
- Working Principle: By comparing the divergence between the bands of two different timeframes, this module gives an indication of trend strength. A positive value may indicate bullish conditions, while a negative value suggests bearish conditions.
2. BB Expansion (Volatility Analysis)
- Purpose: Measures market volatility by comparing the widths of the Bollinger Bands for short and long periods.
- Working Principle: An increased width in the short-period bands relative to the long-period bands signals rising volatility and trend expansion. Dynamic color coding further helps in interpreting volatility changes.
3. BB Momentum Trend (Slope Analysis)
- Purpose: Assesses market momentum by analyzing the slope (or the rate of change) of the short-period Bollinger Band’s middle line.
- Working Principle: A positive slope indicates upward (bullish) momentum, whereas a negative slope points to downward (bearish) momentum. This helps traders gauge the speed at which the trend is evolving.
4. Adaptive BBTrend (Adaptive Calculation)
- Purpose: Adjusts the Bollinger Bands’ lengths dynamically using the Average True Range (ATR) to better respond to changing market volatility.
- Working Principle: An adaptive factor is computed based on the ATR relative to the closing price. This factor recalculates the short and long periods, making the indicator more responsive in volatile markets. Note: This module is disabled by default.
5. Volume-Weighted BBTrend (Volume Adjustment)
- Purpose: Integrates trading volume into the BBTrend calculation to refine the trend signal.
- Working Principle: By applying a volume weighting factor, the module gives more significance to high-volume bars. This results in a nuanced view of market sentiment, where high trading activity can strengthen the trend signal.
Русское описание
Индикатор BBTrend Modular
Индикатор BBTrend Modular создан для предоставления различных взглядов на динамику рынка с использованием полос Боллинджера. Он состоит из нескольких независимых модулей, каждый из которых анализирует определенный аспект ценового действия и волатильности. По умолчанию все модули включены, за исключением модуля Adaptive BBTrend, который остается выключенным, если его специально не активировать.
Обзор модулей
1. BBTrend (Базовый модуль)
- Назначение: Рассчитывает разницу между абсолютными разностями верхней и нижней линий полос Боллинджера для короткого и длинного периодов.
- Принцип работы: Сравнивая дивергенцию полос для двух разных временных периодов, модуль предоставляет информацию о силе тренда. Положительное значение может свидетельствовать о бычьем тренде, а отрицательное — о медвежьем.
2. BB Expansion (Анализ волатильности)
- Назначение: Оценивает волатильность рынка путем сравнения ширины полос Боллинджера для короткого и длинного периодов.
- Принцип работы: Увеличение ширины короткого периода по сравнению с длинным сигнализирует об увеличении волатильности и расширении тренда. Динамическая раскраска помогает визуально интерпретировать изменения волатильности.
3. BB Momentum Trend (Анализ наклона)
- Назначение: Анализирует моментум рынка путем оценки наклона (темпа изменения) средней линии полос Боллинджера для короткого периода.
- Принцип работы: Положительный наклон указывает на бычий моментум, а отрицательный — на медвежий, что помогает оценить скорость изменения тренда.
4. Adaptive BBTrend (Адаптивный расчет)
- Назначение: Динамически корректирует периоды расчета полос Боллинджера с использованием Average True Range (ATR) для лучшей адаптации к изменяющейся волатильности рынка.
- Принцип работы: Вычисляется адаптивный коэффициент на основе ATR относительно цены закрытия, после чего пересчитываются короткий и длинный периоды. Такой подход позволяет индикатору быть более чувствительным в условиях высокой волатильности. Примечание: Модуль по умолчанию выключен.
5. Volume-Weighted BBTrend (Объёмно-взвешенный расчет)
- Назначение: Включает объем торгов в расчет BBTrend для уточнения сигнала тренда.
- Принцип работы: Модуль применяет объемное взвешивание, придавая больший вес барам с высоким объемом. Это позволяет получить более точное представление о настроениях рынка, когда высокий объем торговли усиливает сигнал тренда.
Price Extreme BandsPrice Extreme Bands Description
This indicator calculates and displays Price Extreme Bands based on an Exponential Moving Average (EMA) and True Range Average True Range (TR ATR). It utilizes a custom "Super Smoother" function to smooth the bands, providing a clearer representation of potential price extremes without sacrificing accuracy.
Usage
Built for specifically for intraday timeframes, this indicator identifies short term price extremes and volatility ranges. Traders can observe when price moves towards the outer bands, suggesting strong momentum or potential overbought/oversold conditions. The filled zones highlight areas of increased volatility which can used as exit criteria for a trade, possible reversal points in ranging markets or price ranges where price momentum could slow in trending markets.
Key Features
Length Input: Controls the length of the EMA and TR ATR calculations.
Multiplier Inputs: Uses two fixed multipliers (1.71 and 2.50) to create bands.
Super Smoother: Applies a custom smoothing function to the bands for reduced noise.
Fill Zones: Fills the areas between the inner and outer bands to highlight potential volatility ranges.
Calculation:
1. EMA (Basis): Calculates the Exponential Moving Average of the selected source.
2. TR ATR: Calculates the True Range and then smoothes it using RMA (Rolling Moving Average).
3. Bands: Calculates upper and lower bands using the EMA and ATR, with multipliers of 1.71 and 2.50.
4. Super Smoother: Applies a smoothing function to the calculated bands.
Visuals:
Basis Line: Plots the EMA (basis) (invisible by default).
Inner Bands (1.71 Multiplier): Plots the smoothed bands with a distinct color (e.g., orange) (invisible by default).
Outer Bands (2.50 Multiplier): Plots the smoothed bands with a different color (e.g., purple) (invisible by default).
Fill Zones: Fills the region between the inner and outer upper bands and the inner and outer lower bands with a translucent color (e.g. light blue).
// Note: The plot lines are invisible by default. To view the basis, upper and lower band lines, adjust the visibility settings in the indicator's settings.
Uniqueness: Ready of the box. Code and parameters built specifically for 1m to 15m timeframes provides users with an indicator to easily identify price extremes. The use of TR ATR and addition of the Super Smoother calculation create a easier visualization and implementation compared to existing price band options.
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities.
Key Features:
Supertrend for detecting market direction (bullish or bearish).
MACD for momentum confirmation, highlighting changes in market momentum.
RSI to filter out overbought/oversold conditions and ensure high-quality trades.
ATR as a volatility filter to adjust for changing market conditions.
OBV (On-Balance Volume) to confirm volume strength and trend validity.
Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits.
This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools.
How to Apply:
Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance.
Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment.
Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish.
Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management.
Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise.
Best Markets for Use:
BTC/USDT, ETH/USDT – High liquidity and volatility.
Major altcoins with sufficient volume.
Avoid using it on low-liquidity assets where price action may become erratic.
Timeframes:
This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
SuperTrend MTF Pro [Cometreon]The SuperTrend MTF Pro takes the classic SuperTrend to a whole new level of customization and accuracy. Unlike the standard version, this indicator allows you to select different moving averages, apply it to various chart types, and fine-tune every key parameter.
If you're looking for an advanced, non-repainting, and highly configurable SuperTrend, this is the right choice for you.
🔷 New Features and Improvements
🟩 Multi-MA SuperTrend
Now you can customize the SuperTrend calculation by choosing from 15 different moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Multiple Chart Types
You're no longer limited to candlestick charts! Now you can use SuperTrend with different chart formats, including:
Heikin Ashi
Renko
Kagi
Line Break
Point & Figure
🟩 Customizable Timeframe
Now you can adjust the SuperTrend timeframe without repainting issues, avoiding signal distortions.
🔷 Technical Details and Customizable Inputs
SuperTrend offers multiple customization options to fit any trading strategy:
1️⃣ ATR Period – Defines the ATR length, affecting the indicator’s sensitivity.
2️⃣ Source – Selects the price value used for calculations (Close, HL2, Open, etc.).
3️⃣ ATR Mult – Multiplies the ATR to determine band distance. Higher values reduce false signals, lower values make it more reactive.
4️⃣ Change ATR Calculation Method – When enabled, uses the default ATR method; when disabled, allows selecting another Moving Average with "Use Different Type".
5️⃣ Source Break – Defines the price source for trend changes (Close for more stability, High/Low for more reactivity).
6️⃣ Use Different Type – Allows selecting an alternative Moving Average for ATR calculation if "Change ATR Calculation Method" is disabled.
7️⃣ SuperTrend Type – Advanced options for specific MAs (JMA, ALMA, FRAMA, VIDYA), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness.
8️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, and ATR length.
9️⃣ Timeframe – Enables using SuperTrend on a higher timeframe.
🔟 Wait for Timeframe Closes -
Enabled ✅ – Prevents multiple signals, useful for precise alerts.
Disabled ❌ – Displays SuperTrend smoothly without interruptions.
🔷 How to Use SuperTrend MTF Pro
🔍 Identifying Trends
SuperTrend follows the ongoing trend and provides clear visual signals:
When the price is above the line, the trend is bullish.
When the price is below the line, the trend is bearish.
📈 Interpreting Signals
Line color and position change → Possible trend reversal
Bounce off the line → Potential trend continuation
Strong breakout of the line → Possible reversal
🛠 Integration with Other Tools
RSI or MACD to filter false signals
Moving Averages to confirm trend direction
Support and Resistance to improve entry points
☄️ If you find this indicator useful, leave a Boost to support its development!
Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
BBMA Strategy - EXT CSD CSM MHV RE CodesBINANCE:BTCUSD
Below is a detailed guide for using and interpreting the "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" indicator. This guide is designed to be added to the description of the indicator when publishing it on TradingView. It provides clear instructions for users on how to apply the indicator, interpret its signals, and understand its features, including the multi-timeframe analysis and subplot table.
BBMA Strategy - Enhanced EXT CSD CSM with Subplot: User Guide
Overview
The "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" is a comprehensive trading indicator built on the Bollinger Bands Moving Average (BBMA) framework. It combines multiple technical analysis tools—Bollinger Bands, Moving Averages (MAHI and MALO), EMA, ATR, volume analysis, RSI, MACD, market structure, and candlestick patterns—to identify high-probability trading setups. The indicator supports five key BBMA setups: EXT (Extreme), CSD (Consolidation), CSM (Continuation Setup Movement), RE (Re-Entry), and MHV (Market High Volatility).
This enhanced version includes:
Multi-Timeframe (MTF) Analysis: Confirms signals across a Lower Timeframe (LTF) and Higher Timeframe (HTF) for stronger trade validation.
Subplot Table: Displays signal status ("Active" or "Upcoming") and MTF confirmations in a clear table format.
Market Structure and Volume Filters: Incorporates Break of Structure (BOS), RSI divergence, and volume conditions to filter out low-probability trades.
Customizable Settings: Adjust Bollinger Bands, MA periods, timeframes, and more to suit your trading style.
This indicator is suitable for traders of all levels and can be used across various markets (e.g., forex, crypto, stocks) and timeframes (1M to 1D).
How to Use the Indicator
1. Add the Indicator to Your Chart
Open TradingView and load the chart of your chosen asset (e.g., BTCUSD, EURUSD, XAUUSD).
Go to the Pine Editor, paste the indicator code, and click "Add to Chart."
The indicator will overlay on your chart, displaying Bollinger Bands, Moving Averages, EMA, and signal labels. A subplot table will appear at the bottom of the chart.
2. Configure the Settings
The indicator provides customizable inputs to tailor it to your trading preferences. Access the settings by clicking the gear icon next to the indicator name on your chart:
Bollinger Bands Settings:
BB Period: Default is 20. Adjust the lookback period for Bollinger Bands.
BB Deviations: Default is 2. Adjust the standard deviation for the bands.
MAHI Settings (Moving Averages on High):
MAHI 5 Period: Default is 5. Period for the shorter MA on highs.
MAHI 10 Period: Default is 10. Period for the longer MA on highs.
MALO Settings (Moving Averages on Low):
MALO 5 Period: Default is 5. Period for the shorter MA on lows.
MALO 10 Period: Default is 10. Period for the longer MA on lows.
EMA Settings:
EMA Period: Default is 50. Adjust the period for the Exponential Moving Average.
ATR Settings:
ATR Period: Default is 14. Period for the Average True Range.
ATR SMA Period: Default is 14. Period for the ATR smoothing.
Timeframe Settings:
Minor HTF: Default is 1h. Select the minor higher timeframe for trend confirmation.
Major HTF: Default is 4h. Select the major higher timeframe for trend confirmation.
Lower TF for Confirmation: Default is 5m. Select the lower timeframe for signal confirmation.
Market Structure Settings:
Market Structure Lookback: Default is 10. Adjust the lookback period for swing highs/lows in market structure analysis.
3. Select Your Chart Timeframe
The indicator works on any timeframe from 1 minute (1M) to 1 day (1D).
For best results, align your chart timeframe (Current Timeframe, CTF) with the LTF and HTF settings:
Example: If CTF is 15m, set LTF to 5m and HTF to 1h or 4h.
This ensures proper multi-timeframe alignment for signal confirmation.
Indicator Components
Main Chart Elements
Bollinger Bands (BB): Plotted as three lines (upper, middle, lower) to identify volatility and potential reversal zones.
Upper Band: Blue line.
Middle Band: Black line (basis).
Lower Band: Blue line.
MAHI (Moving Averages on High): Two weighted moving averages on highs to detect trend direction.
MAHI 5: Green line.
MAHI 10: Lime line.
MALO (Moving Averages on Low): Two weighted moving averages on lows to confirm trend direction.
MALO 5: Red line.
MALO 10: Orange line.
EMA (50-period): Purple line to identify the overall trend.
Signal Labels: Appear on the chart when a setup is confirmed:
EXT Buy: Green upward arrow (reversal buy at BB lower band).
EXT Sell: Red downward arrow (reversal sell at BB upper band).
CSM Buy: Teal upward arrow (continuation buy above BB middle).
CSM Sell: Maroon downward arrow (continuation sell below BB middle).
RE Buy: Aqua upward arrow (re-entry buy between BB lower and middle).
RE Sell: Fuchsia downward arrow (re-entry sell between BB upper and middle).
MHV: Orange label (high volatility breakout after consolidation).
CSD: Yellow diamond (consolidation signal).
Subplot Table
Located at the bottom of the chart, the table summarizes signal status across three timeframes:
CTF (Current Timeframe): Shows "Active" (signal confirmed) or "Upcoming" (signal forming) for each setup.
LTF (Lower Timeframe): Displays a checkmark (✔) if the signal is confirmed on the LTF.
HTF (Higher Timeframe): Displays a checkmark (✔) if the signal is confirmed on the HTF.
Columns represent the five BBMA setups: EXT Buy, EXT Sell, CSD, CSM Buy, CSM Sell, RE Buy, RE Sell, and MHV.
Interpreting the Signals
1. EXT (Extreme) Setup
EXT Buy (Green Arrow):
Condition: Price touches or breaks below the BB lower band, closes above it, with high ATR volatility, strong volume, and additional confirmations (e.g., hammer candle, RSI oversold, MACD bullish, MAHI/MALO crossover, or bullish divergence).
Interpretation: A potential reversal buy signal. Look for confirmation in the subplot table (LTF and HTF rows).
Action: Consider a long position if LTF and HTF confirm (✔ in both rows). Use the BB middle or upper band as a target.
EXT Sell (Red Arrow):
Condition: Price touches or breaks above the BB upper band, closes below it, with high ATR volatility, strong volume, and additional confirmations (e.g., shooting star candle, RSI overbought, MACD bearish, MAHI/MALO crossunder, or bearish divergence).
Interpretation: A potential reversal sell signal.
Action: Consider a short position if LTF and HTF confirm. Use the BB middle or lower band as a target.
2. CSD (Consolidation) Setup
CSD (Yellow Diamond):
Condition: BB width is narrow (below its SMA), low ATR volatility, small candles, and no MAHI/MALO crossovers.
Interpretation: The market is consolidating, often preceding a breakout (e.g., MHV).
Action: Avoid trading during CSD unless preparing for an MHV breakout. Monitor the subplot for "Upcoming" MHV signals.
3. CSM (Continuation Setup Movement)
CSM Buy (Teal Arrow):
Condition: Price is above the BB middle, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A continuation buy signal in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB upper band or recent swing highs.
CSM Sell (Maroon Arrow):
Condition: Price is below the BB middle, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A continuation sell signal in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB lower band or recent swing lows.
4. RE (Re-Entry) Setup
RE Buy (Aqua Arrow):
Condition: Price is between the BB lower and middle bands, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A re-entry buy signal after a pullback in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB middle or upper band.
RE Sell (Fuchsia Arrow):
Condition: Price is between the BB upper and middle bands, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A re-entry sell signal after a pullback in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB middle or lower band.
5. MHV (Market High Volatility) Setup
MHV (Orange Label):
Condition: Follows a CSD signal, with expanding BB width, high ATR volatility, strong volume, and MAHI/MALO crossover or crossunder.
Interpretation: A breakout signal after consolidation, indicating high volatility and potential for a strong move.
Action: Trade in the direction of the breakout (e.g., buy if MAHI crossover, sell if MAHI crossunder). Confirm with LTF and HTF. Target significant levels like recent swing highs/lows.
6. Multi-Timeframe Confirmation
LTF Confirmation: A checkmark (✔) in the LTF row indicates the signal is also present on the lower timeframe (e.g., 5m). This adds confidence to the trade.
HTF Confirmation: A checkmark (✔) in the HTF row indicates alignment with the higher timeframe trend (e.g., 4h). This confirms the signal's strength.
Strongest Signals: Look for signals with both LTF and HTF confirmations (✔ in both rows). These have the highest probability of success.
7. Upcoming Signals
The CTF row in the subplot table may show "Upcoming" for a setup (e.g., EXT Buy: Upcoming). This indicates the setup is forming but not yet confirmed.
Action: Monitor these setups closely. They may turn "Active" on the next candle if conditions are met.
Trading Tips
Trend Alignment: Use the EMA 50 and market structure (is_uptrend) to ensure trades align with the overall trend. For example, prioritize CSM Buy signals in an uptrend.
Risk Management:
Set stop-losses below recent swing lows (for buys) or above recent swing highs (for sells).
Use the BB middle or opposite band as a target for most setups.
Avoid Overtrading: Focus on signals with LTF and HTF confirmations to filter out noise.
Timeframe Selection:
Scalping: Use 1m or 5m CTF with 1m LTF and 15m HTF.
Day Trading: Use 15m or 1h CTF with 5m LTF and 4h HTF.
Swing Trading: Use 4h or 1D CTF with 1h LTF and 1D HTF.
Backtesting: Test the indicator on historical data for your chosen asset and timeframe to understand its performance.
Alerts
The indicator includes built-in alerts for each setup:
EXT Buy/Sell: Triggers when an EXT signal is confirmed.
CSD: Triggers during consolidation.
CSM Buy/Sell: Triggers for continuation signals.
RE Buy/Sell: Triggers for re-entry signals.
MHV: Triggers for high volatility breakouts. To set up alerts:
Right-click on the chart and select "Add Alert."
Choose the condition (e.g., "BBMA EXT Buy").
Set your preferred notification method (e.g., email, SMS).
Limitations
Lagging Indicators: The indicator uses moving averages and other lagging tools, which may delay signals in fast-moving markets.
False Signals: Like all indicators, it can produce false signals, especially in choppy markets. Use LTF/HTF confirmations to filter trades.
Timeframe Dependency: Ensure your CTF, LTF, and HTF are properly aligned to avoid conflicting signals.
Arbitrage Spot-Futures Don++Strategy: Spot-Futures Arbitrage Don++
This strategy has been designed to detect and exploit arbitrage opportunities between the Spot and Futures markets of the same trading pair (e.g. BTC/USDT). The aim is to take advantage of price differences (spreads) between the two markets, while minimizing risk through dynamic position management.
[Operating principle
The strategy is based on calculating the spread between Spot and Futures prices. When this spread exceeds a certain threshold (positive or negative), reverse positions are opened simultaneously on both markets:
- i] Long Spot + Short Futures when the spread is positive.
- i] Short Spot + Long Futures when the spread is negative.
Positions are closed when the spread returns to a value close to zero or after a user-defined maximum duration.
[Strategy strengths
1. Adaptive thresholds :
- Entry/exit thresholds can be dynamic (based on moving averages and standard deviations) or fixed, offering greater flexibility to adapt to market conditions.
2. Robust data management :
- The script checks the validity of data before executing calculations, thus avoiding errors linked to missing or invalid data.
3. Risk limitation :
- A position size based on a percentage of available capital (default 10%) limits exposure.
- A time filter limits the maximum duration of positions to avoid losses due to persistent spreads.
4. Clear visualization :
- Charts include horizontal lines for entry/exit thresholds, as well as visual indicators for spread and Spot/Futures prices.
5. Alerts and logs :
- Alerts are triggered on entries and exits to inform the user in real time.
[Points for improvement or completion
Although this strategy is functional and robust, it still has a few limitations that could be addressed in future versions:
1. [Limited historical data :
- TradingView does not retrieve real-time data for multiple symbols simultaneously. This can limit the accuracy of calculations, especially under conditions of high volatility.
2. [Lack of liquidity management :
- The script does not take into account the volumes available on the order books. In conditions of low liquidity, it may be difficult to execute orders at the desired prices.
3. [Non-dynamic transaction costs :
- Transaction costs (exchange fees, slippage) are set manually. A dynamic integration of these costs via an external API would be more realistic.
4. User-dependency for symbols :
- Users must manually specify Spot and Futures symbols. Automatic symbol validation would be useful to avoid configuration errors.
5. Lack of advanced backtesting :
- Backtesting is based solely on historical data available on TradingView. An implementation with third-party data (via an API) would enable the strategy to be tested under more realistic conditions.
6. [Parameter optimization :
- Certain parameters (such as analysis period or spread thresholds) could be optimized for each specific trading pair.
[How can I contribute?
If you'd like to help improve this strategy, here are a few ideas:
1. Add additional filters:
- For example, a filter based on volume or volatility to avoid false signals.
2. Integrate dynamic costs:
- Use an external API to retrieve actual costs and adjust thresholds accordingly.
3. Improve position management:
- Implement hedging or scalping mechanisms to maximize profits.
4. Test on other pairs:
- Evaluate the strategy's performance on other assets (ETH, SOL, etc.) and adjust parameters accordingly.
5. Publish backtesting results :
- Share detailed analyses of the strategy's performance under different market conditions.
[Conclusion
This Spot-Futures arbitrage strategy is a powerful tool for exploiting price differentials between markets. Although it is already functional, it can still be improved to meet more complex trading scenarios. Feel free to test, modify and share your ideas to make this strategy even more effective!
[Thank you for contributing to this open-source community!
If you have any questions or suggestions, please feel free to comment or contact me directly.
FFT Approximation StrategyExperimenting FFT Strategy on YCL (USD/JPY 2 x)
This script approximates the effects of FFT by identifying convergence between short- and long-term cycles. While it doesn't provide the precision of true spectral analysis, it captures the essence of cyclical market behavior.
How FFT Concepts Improve YCL Entry Points
Cycle Identification:
Use external FFT analysis to identify dominant cycles in USD/JPY price movements.
Apply these cycles to refine entry zones for YCL.
Noise Filtering:
High-frequency components identified by FFT can help filter out market noise.
Focus on low-frequency trends for more reliable signals.
Timing Optimization:
Combine cycle analysis with gamma exposure proxies to pinpoint moments of accelerated price movement.
Volume Pro Indicator## Volume Pro Indicator
A powerful volume indicator that visualizes volume distribution across different price levels. This tool helps you easily identify where trading activity concentrates within the price range.
### Key Features:
- **Volume visualization by price levels**: Green (lower zone), Magenta (middle zone), Cyan (upper zone)
- **VPOC (Volume Point of Control)**: Shows the price level with the highest volume concentration
- **High and Low lines**: Highlights the extreme levels of the analyzed price range
- **Customizable historical analysis**: Configurable number of days for calculation
### How to use it:
- Colored volumes show where trading activity concentrates within the price range
- The VPOC helps identify the most significant price levels
- Different colors allow you to quickly visualize volume distribution in different price areas
Customizable with numerous options, including analysis period, calculation resolution, colors, and visibility of different components.
### Note:
This indicator works best on higher timeframes (1H, 4H, 1D) and liquid markets. It's a visual analysis tool that enhances your understanding of market structure.
#volume #vpoc #distribution #volumeprofile #trading #analysis #indicator #professional #pricelevels #volumedistribution
Uptrick: Reversal Matrix +Overview
The Uptrick: Reversal Matrix + is designed as a comprehensive tool that organizes market information in a visually intuitive way. It presents a variety of signals and data points on the chart, aiming to provide clarity about potential reversals, directional momentum, and the broader context surrounding price behavior. By consolidating numerous indicators and statistics into a single interface, it serves as a versatile companion for different trading styles and time horizons.
Purpose
This indicator offers a multifunctional approach to market analysis. It seeks to help users gain a more holistic view of current conditions rather than focusing on isolated data points. Its primary goal is to guide traders toward recognizing evolving market structures, shifts in buying or selling pressure, and periods where price movement may exhibit stronger or weaker momentum. Because it is designed for adaptive use, it can cater to fast, intraday styles or more deliberate, long-term strategies, depending on how the user configures it.
Originality and Uniqueness
The Reversal Matrix + stands out by merging various categories of market data into cohesive visuals and tables. While many indicators offer singular signals or straightforward buy/sell prompts, this script integrates numerous underlying components and displays them in organized panels. Each piece of data, from volume characteristics to volatility states, is contextualized. This multi-layered approach helps traders see more than just a single dimension of the market. Whether one is exploring short-term breakouts, potential traps, or broader market regimes, the tool accommodates multiple perspectives within a single framework.
Inputs
1. Sensitivity.
This setting allows you to choose different levels based on how frequently you would like signals to appear. Selecting a higher sensitivity may capture faster changes but can produce a greater number of signals. More moderate or smoother settings can be preferable for users looking for less frequent but potentially clearer indications of shifts.
2. Trading Style.
This option adapts the tool to match conservative, normal, or more aggressive preferences. When choosing a conservative style, the script attempts to filter out smaller fluctuations, while the aggressive style might highlight more potential turning points as they emerge.
3. Potential Signal Threshold Difference
This setting adjusts the sensitivity of potential reversal signals. A lower value means the script will highlight only the most distinct setups, filtering out weaker or borderline scenarios. A higher value makes the tool more receptive to subtle shifts, potentially flagging more frequent signals. It allows users to fine-tune how responsive the script is to early momentum changes, depending on their preferred level of signal strictness.
4. Table Positions (Optional).
There are inputs that let you decide the on-chart position of the tables. You can enable or disable these tables and choose where they appear (for instance, top-right or bottom-left), depending on how you want the data displayed alongside price bars.
Table and Its Position
When enabled, a large table, known as the Full Metrics Table, offers extensive details about various technical and behavioral metrics. You can place it anywhere on your chart layout for convenience. It is designed to give you a granular view of current conditions without overwhelming the main price candles themselves.
Another, smaller panel known as the Final Verdict Table can also be displayed at a user-chosen position. This panel simplifies the script’s internal assessments into broader verdicts or summaries, allowing for a quick read on the market’s status.
Features
Multi-Faceted Signal and Alert System.
The indicator continuously scans market activity, highlighting events such as sudden rises or drops, changes in volatility, and shifts in momentum. Users can configure an array of alerts that instantly notify them of these occurrences, reducing the need to constantly monitor the chart.
Candle Overlays and Fading Effects .
In addition to standard chart candles, the script offers visual cues by shading or coloring candles differently when it detects certain signals. The fading mechanism gradually diminishes the bar color of older signals so that recent ones are more noticeable. This helps keep the focus on current opportunities while retaining a historical context.
Contextual Market Synopsis .
Each time a candle closes, the tool updates a variety of behind-the-scenes checks. This process helps the user see whether the market remains within the same general state (trending, ranging, or reversing) or is shifting rapidly. It also adds clarity when conditions may be transitioning between bullish and bearish inclinations.
Adaptable Settings for Different Styles .
Since traders differ in their tolerance for rapid fluctuations, the script’s adjustable Sensitivity and Trading Style inputs provide a way to fine-tune how it reacts. Someone trading on shorter timeframes can opt for more frequent signals that capture subtle changes, whereas a position trader might lean toward smoother outputs that highlight only stronger, more sustained conditions.
Extended Data Analysis .
Beyond immediate buy/sell possibilities, the Reversal Matrix+ delivers comprehensive data to help users confirm or question a market stance. A wide range of volume, volatility, and price action elements are factored in, giving each signal additional context rather than a simple green or red highlight.
Final Verdict Summaries .
When the second table is enabled, it condenses key aspects of the indicator’s internal logic into straightforward statements. Rather than navigating multiple data rows, you can check if the market appears more stable or volatile, potentially bullish or bearish, and whether a reversal probability is deemed high or low.
Large-Scale Alert Coverage .
More than fifty specialized alerts focus on distinct aspects, enabling users to track everything from volume anomalies to momentum acceleration.
Specialized Color Schemes .
To assist in quickly spotting bullish or bearish tendencies, candles and background components may be tinted in line with the latest recognized conditions. This visual reinforcement makes it easier to decide if ongoing signals confirm a previous stance or suggest a change.
Buy/Sell Signals
A core function of the script is to present buy and sell indications on the chart, identifying moments when price momentum may be shifting in a meaningful way. These signals come in two varieties: potential reversals and confirmed reversals. Potential reversals appear sooner, providing an early heads-up that market behavior could be turning. Confirmed reversals require a stronger confluence of underlying conditions, aiming to reduce the likelihood of false starts.
Internally, the script examines multiple facets—such as momentum flow, changes in volatility, and volume characteristics—to determine when a potential transition is noteworthy enough to highlight as a signal. As soon as those conditions line up, the script applies distinct markers or shapes to the candles, making it easy to spot these pivotal points on the chart. In addition, each new signal is emphasized through color-based candle shading, while older signals gradually fade to keep attention on the most relevant opportunities.
Although these signals can function as standalone cues, many traders pair them with the script’s other outputs—such as the Full Metrics Table, the Final Verdict Table, and specialized alerts—to form a more complete perspective. For instance, a potential buy signal spotted in real time may gain extra weight if certain metrics in the table reflect a constructive market backdrop. Meanwhile, the final verdict can offer a succinct confirmation or contradiction to what the buy or sell signal suggests. By combining these elements, traders can pursue strategies that balance both immediacy and context, tailoring their entries and exits to their own tolerance for risk and time horizon.
These features collectively allow users to explore the market from multiple angles. Whether one seeks a deeper technical dive or simpler guidance, the indicator’s layered design aims to cater to a broad spectrum of trading approaches.
Full Metrics Table
A key element of Uptrick: Reversal Matrix+ is the extensive set of data displayed within the Full Metrics Table. Below is an expanded explanation of the sixty-four core metrics. Each is accompanied by a brief statement about its practical significance.
Price
Displays current price.
Price Percent
Shows how much the price has shifted in percentage terms over a recent comparison point. Useful for gauging recent moves.
Vo Open
Presents price movement in relation to the candle’s open. Helps traders see if momentum favored bullish or bearish direction within the candle.
Range Percent
Depicts the span between high and low over the candle’s range, offering a measure of volatility within that candle.
Bodi Percent
Indicates how much of the candle is body as opposed to wick. Shows whether there was more decisive movement or more back-and-forth trading.
Volatility
Generically measures how dramatically price has been fluctuating over a given period. Helps users notice if the market is calm or very active.
Mpeed
Represents a sense of speed in price movement, potentially revealing if momentum is picking up or slowing down.
Accel
Points to how quickly price movement shifts from one level of speed to another. Can hint at a market that is accelerating or flattening out.
Volume
Reflects how many shares, contracts, or units are traded within the current bar. Higher volume may suggest stronger conviction.
Vol Percent
Shows how the volume compares, in percentage, to a previous period’s volume. Useful for spotting surges or drops in trading activity.
Mession Hi
Captures the highest point within a recent observed period or session. Often watched for potential breakout or reversal clues.
Mession Lo
Captures the lowest point within a recent observed period or session. Similarly, used to watch for support or breakdowns.
Pos Percent
Indicates how far the current price stands within its range. Being near the upper percentile suggests strength or an overbought scenario, depending on the viewpoint.
Mpread
Offers a sense of the overall spread in price action, which can reflect the determination of buyers or sellers within a candle.
Gap
Shows the difference in price from a prior close or from some previous reference point. Helps identify abrupt shifts in sentiment.
Conf. (Core)
Presents a general level of signal confidence based on internal checks. Assists in quickly scanning for whether a candle is aligned with broader market patterns.
Availability
Describes liquidity conditions, such as whether the market seems actively traded or comparatively thinner.
Conf. Bias
Highlights if price and momentum appear to confirm a prevailing direction, or if there is a noticeable lack of such alignment.
Valuation
Suggests how current price compares to an internal yardstick of fair or undervalued settings. Useful for spotting potential discount or premium zones.
Reversal
Warns about the possibility that price may turn from its recent direction. Intriguing for those who look for turning points at the end of trends.
Vol. Mtate
Indicates whether conditions are characterized by subdued or elevated swings. A higher reading may signal that caution is warranted.
Direction
Reflects a bullish or bearish inclination based on internal data. Provides a simplified way to see whether momentum is leaning up or down.
Vol. Clarity
Measures the clarity of volume movement, potentially detecting spikes or plateaus that can confirm or contradict price action.
Mtructure
Offers insight into how recent highs and lows are forming. A market that keeps printing higher highs and lows might suggest ongoing upward momentum.
Reaction
Shows how quickly the market responds to new information. Speedy changes may indicate more emotionally driven or news-influenced trading.
Trend Conf.
Suggests the tool’s assessment of how solid or fragile a given direction is. Useful for quickly seeing if a trend might persist.
Zone
Labels whether price is running near top or bottom levels of a selected range, helping identify if a market is pushing extremes.
Ehhaustion
Reveals if a move might be overextended and could retrace. Helpful in deciding whether to take profits or wait for a deeper confirmation.
Range Env
Describes whether the market is operating in a tight or wide range. Can help in choosing strategies like breakout or range-bound approaches.
Demand
Reports on whether buying demand or selling supply is more dominant in the current period. Assists in gauging short-term pressure.
Conf. Level
Provides an additional notion of how firm a signal might be. It may be labeled as early or fully formed, helping with timing considerations.
Momentum
Conveys whether price is accelerating upward, decelerating, or shifting into a more neutral gear.
Higher Close Percent
Indicates the frequency of consecutive higher closes over recent bars. Demonstrates if a market is consistently pushing upward.
Bear Trap
Points to scenarios where sellers could be caught off guard if the market reverses after a seemingly bearish move.
Bull Trap
Opposite of the above, hinting that buyers may be misled if price fails to hold after a seemingly bullish shift.
Vol Mqueeze
Identifies periods where volume and volatility might be compressing. Often used by traders to anticipate a potential abrupt expansion in movement.
Divergence
Suggests a mismatch between price and internal momentum signals. May foretell a hidden reversal or shift in direction.
Hist. Vol
Provides a longer-term viewpoint of how volatility stands in the broader scope, enabling comparison between current choppiness and previous norms.
Velocity
Tracks the overall vigor of price movement. A high velocity can mean powerful directional drive.
Wick Ratio
Analyzes the presence of upper or lower wicks and can suggest whether buying or selling tails are dominant within each bar.
Decision Bias
Indicates how the script perceives near-term market consensus. A strong bias may reveal one side’s momentum more clearly.
Break Chance
Hints at whether a local high or low has a fair possibility of being broken, which can be relevant to breakout-style trading.
Trend Mlope
Observes the slope of the ongoing trend, showing whether price is inclining, declining, or moving sideways over a specified window.
Trend Dir
Concisely states if that slope leans upward or downward. Useful for determining basic directional posture at a glance.
Regime
Groups the market environment into stable bullish, stable bearish, or a more unsettled pattern, helping shape strategic decisions.
Price Comparison
Shows whether price is trading above or below certain historical or moving references. Provides a broad sense of market posture.
Vol Mhift
Highlights any general upswing or downswing in traded volume, indicating whether participants are stepping in or scaling back.
Mtructural Balance
Offers an overview of whether the chart bars show more wick dominance or more body dominance. Helps in reading subtle shifts in power.
Flow Mtability
Portrays how orderly or choppy the price movement is. Less stable flow can lead to more frequent reversals or whipsaws.
Liquidity Pull
Shows the extent to which trading activity may be magnetizing price, helping gauge if there is substantial interest at certain zones.
Bar Mhape
Describes the candle’s shape, such as longer upper or lower tails, which can point to rejections or confirmations of direction.
Bui/Mell Rating
Reveals which side holds greater influence at a glance. Might display more leaning to buy strength or to sell pressure.
Range Vol Flow
Monitors the interplay between how wide the range is and how volume is behaving. If both are expanding, more powerful swings may follow.
Hiper Move
Spots especially strong or sudden moves. Could be a swift jump up or down, prompting attention to volatility management.
Candle Force
Indicates how forceful a candle’s close is compared to its full range. Strong force bars often underscore decisive momentum.
Hi/Lo Tag
Alerts you to newly formed session extremes, helping confirm if recent highs or lows are significant.
Price Action
Labels the candle as leaning bullish, leaning bearish, or neutral, providing a concise understanding of the immediate tone.
Vol Abnorm
Distinguishes between typical volume and unusually high volume that might signal institutional trading or news releases.
Trend Match
Checks if short-term direction is aligned with a broader trend. Clear alignment can strengthen confidence in that direction.
Move Confirm
Conveys whether the tool sees a price movement as already established or still in a formative state.
Momentum Focus
Gives a quick snapshot of whether price momentum is generally tilting higher, lower, or holding steady.
Vol Total
Presents a broad average or accumulated sense of volume over a longer window, providing context for current activity.
Hist. Accum
Positions price within a more extended historical range, allowing one to see if the asset is near major peaks or troughs.
Trap Bias
Informs if the market may be showing conditions that lead to bull traps or bear traps, cautioning traders who chase rapid moves.
Final Verdict Table
The secondary table, known as the Final Verdict Table, condenses the tool’s main findings into concise statements. It watches for patterns such as alignment of trends, clarity of momentum, perceived volatility conditions, and possible reversals. Depending on what the script observes, the table might suggest a bullish confluence, a bearish confluence, an unstable market environment, or a more neutral outlook. This feature is particularly helpful for traders who prefer quick insights over a detailed breakdown of every metric.
Metrics Included in the Final Verdict Table
Directional Momentum Flow
This entry shows how the indicator interprets short-term momentum for the current market. If momentum appears to be gaining strength in one direction, it may indicate that buyers or sellers have a slight edge, whereas a flat reading might suggest indecision.
Volatility Regime Assessment
This metric provides insight into whether the market is relatively calm, moderate, or experiencing elevated volatility. A calmer volatility state might favor steadier strategies, while higher volatility could signal the potential for wider price swings.
Trend Continuity Confidence
This section reflects how confident the tool is in the market’s current trend. It helps traders see whether recent action supports a persistent uptrend, downtrend, or if there is ambiguity that undermines the idea of a consistent directional movement.
Reversal Probability Index
Here, the table evaluates whether conditions are conducive to a market turnaround. If the script observes signs of exhaustion or conflict in momentum, it may suggest an increased possibility of the price switching direction.
Manipulation Detector
This component looks for signals that the market may be attempting to trap buyers or sellers. For instance, a sudden shift might hint at a bull or bear trap scenario. This readout serves to caution against seemingly obvious moves that could quickly reverse.
Final Verdict
Below these metrics, the table presents a single overall statement that integrates the above factors. This final verdict can range from identifying a bullish or bearish confluence to calling the market unstable or neutral if conditions are inconclusive. It is intended to be a quick, high-level summary of the script’s general stance on the market.
Any Other Features
Users can access more than fifty specialized alerts that target different market conditions, from potential trap scenarios to shifts in volatility regimes. These alerts can be integrated into various platforms, ensuring that traders receive immediate notifications when critical triggers occur. The color-coded candle approach, combined with fading effects, helps maintain chart readability. Over time, this setup encourages a balance between a detailed backdrop of market data and a clear depiction of fresh signals.
Why More than One Indicator
Integrating multiple components under one roof offers several advantages. It reduces the chance of relying on a single dimension, such as price action alone, which can sometimes mislead or generate frequent false signals. By combining various measures of volatility, volume, and price structure, the script can reveal confluences or disagreements among different elements. This multi-faceted approach can improve clarity, making it easier to decide when conditions line up favorably or when they conflict, thereby prompting caution.
Conclusion
In summary, the Uptrick: Reversal Matrix + aims to deliver a sweeping overview of market dynamics. It guides users from raw observations—like price and volume—to broader insights concerning trend stability, potential reversals, and overall liquidity. Its dual-table system allows for both fine-grained analysis and fast verdicts, catering to traders with varying degrees of time and attention. The numerous alerts and color coding schemes further round out its capacity for real-time monitoring and visually clear signal presentation.
Disclaimer
Trading involves inherent risks, and no tool can entirely eliminate uncertainty. This indicator’s materials are provided for informational purposes, without guarantees regarding future performance. Traders should exercise due diligence, apply sound risk management, and consider professional advice. The Uptrick: Reversal Matrix+ does not assume responsibility for financial decisions made based on its output.
Fourier Trend Energy (Prototype)Fourier Trend Energy (Prototype)
This indicator brings the logic of Fourier-based trend analysis into Pine Script.
It estimates two key components:
Low-Frequency Energy — representing the strength of the underlying trend
High-Frequency Energy — representing noise, volatility, or deviation from the trend
🔹 Green line → trend strength
🔸 Orange line → short-term noise
🟩🟥 Background color → shows whether trend energy is increasing or decreasing
You can use it to:
Detect early trend formation
Filter fakeouts during consolidation
Spot momentum shifts based on energy crossovers
This is not a traditional oscillator — it’s a frequency-inspired tool to help you understand when the market is charging for a move.
VBSMI with Dynamic Bands and MTF Screener by QTX Algo SystemsVolatility Based SMI with Dynamic Bands & MTF Screener by QTX Algo Systems
Overview
This enhanced version of the Volatility Based SMI with Dynamic Bands (VBSMI) expands on the original design by integrating a Multi-Timeframe (MTF) Screener. It maintains the core momentum detection and volatility-responsive adjustments of the standard VBSMI while providing expanded multi-timeframe analysis across multiple assets in a tabular format.
By allowing users to track momentum shifts, reversals, and trend conditions across multiple timeframes and multiple assets, this version enhances market awareness and helps traders make more informed decisions.
How It Works
Enhanced SMI Calculation
The core SMI calculation uses double smoothing through Exponential Moving Averages (EMAs) to refine price movements.
Inputs for Smoothing K and Smoothing D control how much noise is filtered.
A final SMI EMA is applied to help confirm momentum direction.
Adaptive Volatility Scaling
A fixed Bollinger Band Width Percentile (BBWP) calculation is used to create an Adaptive Adjustment Factor for the SMI.
This ensures the oscillator adapts to current volatility levels, making signals more context-aware.
Dynamic Threshold Adjustment
The overbought and oversold thresholds (default 50 and -50) adjust in real time based on market conditions.
These adjustments use three proprietary factors:
Trend Lookback Period – Determines historical trend strength using a VWMA-based comparison.
Upper & Lower Band Tilt Strength – Controls how aggressively the bands shift in response to trends.
Opposite Band Compression – Adjusts the speed of threshold contraction when trends reverse, making it more responsive.
Multi-Timeframe and Multi-Asset Screener (MTF) – New Feature
The integrated MTF Screener provides a real-time overview of the VBSMI's conditions across multiple timeframes and assets.
It includes:
✅ User-selectable timeframes (Default: 1H, 4H, 1D, 3D, 1W, 1M).
✅ Up to 6 additional tickers for multi-asset analysis.
✅ Real-time VBSMI color-coded conditions for easier signal interpretation.
How to Read the MTF Screener Table
Each cell in the table provides a momentum reading based on VBSMI conditions in different timeframes:
🟢 Green Background → Oversold Condition (Potential Buy Zone)
🔴 Red Background → Overbought Condition (Potential Sell Zone)
📊 Label: "Up" or "Down" → Shows whether VBSMI is above or below its EMA.
🟠 Orange Background → VBSMI crossovers from oversold/overbought conditions
How to Use & Adjust Inputs
Momentum Confirmation & Reversals
Use the dynamically adjusting thresholds to confirm when momentum is overextended or entering a new trend phase.
Monitor crossovers between the SMI and its EMA—these can be potential reversal or trend continuation signals.
Multi-Timeframe Trend Confirmation
Look for alignment across multiple timeframes in the MTF Screener (e.g., if the 1H, 4H, and 1D all show green, it strengthens a bullish case).
Use the multi-ticker feature to see how different assets align with your primary asset’s momentum signals.
Fine-Tuning the Inputs
Smoothing K & D: Controls how much the SMI is smoothed. Lower values make the indicator respond faster but can introduce noise, while higher values produce smoother signals with a slight delay.
SMI EMA Length: Adjusts the sensitivity of the exponential moving average applied to the SMI. A lower value makes the EMA react more quickly, while a higher value slows it down for more stable signals.
Trend Lookback Period: Defines how far back the indicator looks to assess trend strength. A shorter lookback makes it more reactive to recent price movements, while a longer period smooths out fluctuations for a broader trend perspective.
Band Tilt Strengths: Determines how much the overbought and oversold levels shift in response to market trends. Increasing this value causes the thresholds to adjust more aggressively, making the indicator more sensitive to trend direction.
Opposite Band Compression: Controls how quickly the opposite band contracts when a trend reversal occurs. A higher value results in faster compression, making the indicator more responsive to sudden market shifts.
What Makes This Unique?
Unlike traditional Stochastic Momentum Index (SMI) indicators, which rely on fixed overbought/oversold levels, this version:
✔ Adjusts the SMI based on relevant volatility
✔ Adapts thresholds based on volatility & trend strength
✔ Incorporates multi-timeframe screening for trend confirmation
✔ Uses an MTF table for real-time, multi-asset tracking
Disclaimer
This indicator is for educational purposes only and is meant to support trading strategies—not replace independent analysis.
No financial guarantees are provided. Past performance does not guarantee future results. Always use proper risk management.
VIX Implied MovesKey Features:
Three Timeframe Bands:
Daily: Blue bands showing ±1σ expected move
Weekly: Green bands showing ±1σ expected move
30-Day: Red bands showing ±1σ expected move
Calculation Methodology:
Uses VIX's annualized volatility converted to specific timeframes using square root of time rule
Trading day convention (252 days/year)
Band width = Price × (VIX/100) ÷ √(number of periods)
Visual Features:
Colored semi-transparent backgrounds between bands
Progressive line thickness (thinner for shorter timeframes)
Real-time updates as VIX and ES prices change
Example Calculation (VIX=20, ES=5000):
Daily move = 5000 × (20/100)/√252 ≈ ±63 points
Weekly move = 5000 × (20/100)/√50 ≈ ±141 points
Monthly move = 5000 × (20/100)/√21 ≈ ±218 points
This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Low Liquidity Zones [PhenLabs]📊 Low Liquidity Zones
Version: PineScript™ v6
📌 Description
Low Liquidity Zones identifies and highlights periods of unusually low trading volume on your chart, marking areas where price movement occurred with minimal participation. These zones often represent potential support and resistance levels that may be more susceptible to price breakouts or reversals when revisited with higher volume.
Unlike traditional volume analysis tools that focus on high volume spikes, this indicator specializes in detecting low liquidity areas where price moved with minimal resistance. Each zone displays its volume delta, providing insight into buying vs. selling pressure during these thin liquidity periods. This combination of low volume detection and delta analysis helps traders identify potential price inefficiencies and weak structures in the market.
🚀 Points of Innovation
• Identifies low liquidity zones that most volume indicators overlook but which often become significant technical levels
• Displays volume delta within each zone, showing net buying/selling pressure during low liquidity periods
• Dynamically adjusts to different timeframes, allowing analysis across multiple time horizons
• Filters zones by maximum size percentage to focus only on precise price levels
• Maintains historical zones until they expire based on your lookback settings, creating a cumulative map of potential support/resistance areas
🔧 Core Components
• Low Volume Detection: Identifies candles where volume falls below a specified threshold relative to recent average volume, highlighting potential liquidity gaps.
• Volume Delta Analysis: Calculates and displays the net buying/selling pressure within each low liquidity zone, providing insight into the directional bias during low participation periods.
• Dynamic Timeframe Adjustment: Automatically scales analysis periods to match your selected timeframe preference, ensuring consistent identification of low liquidity zones regardless of chart settings.
• Zone Management System: Creates, tracks, and expires low liquidity zones based on your configured settings, maintaining visual clarity on the chart.
🔥 Key Features
• Low Volume Identification: Automatically detects and highlights candles where volume falls below your specified threshold compared to the moving average.
• Volume Delta Visualization: Shows the net volume delta within each zone, providing insight into whether buyers or sellers were dominant despite the low overall volume.
• Flexible Timeframe Analysis: Analyze low liquidity zones across multiple predefined timeframes or use a custom lookback period specific to your trading style.
• Zone Size Filtering: Filters out excessively large zones to focus only on precise price levels, improving signal quality.
• Automatic Zone Expiration: Older zones are automatically removed after your specified lookback period to maintain a clean, relevant chart display.
🎨 Visualization
• Volume Delta Labels: Each zone displays its volume delta with “+” or “-” prefix and K/M suffix for easy interpretation, showing the strength and direction of pressure during the low volume period.
• Persistent Historical Mapping: Zones remain visible for your specified lookback period, creating a cumulative map of potential support and resistance levels forming under low liquidity conditions.
📖 Usage Guidelines
Analysis Timeframe
Default: 1D
Range/Options: 15M, 1HR, 3HR, 4HR, 8HR, 16HR, 1D, 3D, 5D, 1W, Custom
Description: Determines the historical period to analyze for low liquidity zones. Shorter timeframes provide more recent data while longer timeframes offer a more comprehensive view of significant zones. Use Custom option with the setting below for precise control.
Custom Period (Bars)
Default: 1000
Range: 1+
Description: Number of bars to analyze when using Custom timeframe option. Higher values show more historical zones but may impact performance.
Volume Analysis
Volume Threshold Divisor
Default: 0.5
Range: 0.1-1.0
Description: Maximum volume relative to average to identify low volume zones. Example: 0.5 means volume must be below 50% of the average to qualify as low volume. Lower values create more selective zones while higher values identify more zones.
Volume MA Length
Default: 15
Range: 1+
Description: Period length for volume moving average calculation. Shorter periods make the indicator more responsive to recent volume changes, while longer periods provide a more stable baseline.
Zone Settings
Zone Fill Color
Default: #2196F3 (80% transparency)
Description: Color and transparency of the low liquidity zones. Choose colors that stand out against your chart background without obscuring price action.
Maximum Zone Size %
Default: 0.5
Range: 0.1+
Description: Maximum allowed height of a zone as percentage of price. Larger zones are filtered out. Lower values create more precise zones focusing on tight price ranges.
Display Options
Show Volume Delta
Default: true
Description: Toggles the display of volume delta within each zone. Enabling this provides additional insight into buying vs. selling pressure during low volume periods.
Delta Text Position
Default: Right
Options: Left, Center, Right
Description: Controls the horizontal alignment of the delta text within zones. Adjust based on your chart layout for optimal readability.
✅ Best Use Cases
• Identifying potential support and resistance levels that formed during periods of thin liquidity
• Spotting price inefficiencies where larger players may have moved price with minimal volume
• Finding low-volume consolidation areas that may serve as breakout or reversal zones when revisited
• Locating potential stop-hunting zones where price moved on minimal participation
• Complementing traditional support/resistance analysis with volume context
⚠️ Limitations
• Requires volume data to function; will not work on symbols where the data provider doesn’t supply volume information
• Low volume zones don’t guarantee future support/resistance - they simply highlight potential areas of interest
• Works best on liquid instruments where volume data has meaningful fluctuations
• Historical analysis is limited by the maximum allowed box count (500) in TradingView
• Volume delta in some markets may not perfectly reflect buying vs. selling pressure due to data limitations
💡 What Makes This Unique
• Focus on Low Volume: Unlike some indicators that highlight high volume events particularly like our very own TLZ indicator, this tool specifically identifies potentially significant price zones that formed with minimal participation.
• Delta + Low Volume Integration: Combines volume delta analysis with low volume detection to reveal directional bias during thin liquidity periods.
• Flexible Lookback System: The dynamic timeframe system allows analysis across any timeframe while maintaining consistent zone identification criteria.
• Support/Resistance Zone Generation: Automatically builds a visual map of potential technical levels based on volume behavior rather than just price patterns.
🔬 How It Works
1. Volume Baseline Calculation:
The indicator calculates a moving average of volume over your specified period to establish a baseline for normal market participation. This adaptive baseline accounts for natural volume fluctuations across different market conditions.
2. Low Volume Detection:
Each candle’s volume is compared to the moving average and flagged when it falls below your threshold divisor. The indicator also filters zones by maximum size to ensure only precise price levels are highlighted.
3. Volume Delta Integration:
For each identified low volume candle, the indicator retrieves the volume delta from a lower timeframe. This delta value is formatted with appropriate scaling (K/M) and displayed within the zone.
4. Zone Management:
New zones are created and tracked in a dynamic array, with each zone extending rightward until it expires. The system automatically removes expired zones based on your lookback period to maintain a clean chart.
💡 Note:
Low liquidity zones often represent areas where price moved with minimal participation, which can indicate potential market inefficiencies. These zones frequently become important support/resistance levels when revisited, especially if approached with higher volume. Consider using this indicator alongside traditional technical analysis tools for comprehensive market context. For best results, experiment with different volume threshold settings based on the specific instrument’s typical volume patterns.
Advanced Standard Deviation EMAs📊 Advanced Standard Deviation EMAs Indicator
This indicator plots up to 7 customizable EMAs with standard deviation channels which helps traders see the potential levels surrounding the EMAs that accounts for recent volatility.
📈 What is Standard Deviation?
Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values. In trading, it measures how much price movement deviates from the average (mean) price over a specific period. Higher standard deviation indicates higher volatility, while lower values suggest more consistent price action. When applied to EMAs, standard deviation channels help traders identify when price is behaving normally versus when it's making extraordinary moves, potentially signaling trading opportunities or increased risk.
- - - - - - -
✨ Key Features
- Highly Customizable: Each EMA can be independently configured for maximum flexibility
- Multi-Timeframe Analysis: Each EMA can calculate on its own timeframe while displayed on the same chart
- Adaptive Labels: Smart labels show period, timeframe, and trend direction
- Visual Clarity: Fully customizable colors, transparency, and visual elements
🛠️ Per-EMA Customization
Each of the 7 EMAs offers individual control over:
- 📏 Period Length: Set your preferred EMA calculation period
- ⏱️ Timeframe: Calculate each EMA on its own timeframe (defaults to chart timeframe)
- 📏 Standard Deviation Multiplier: Fine-tune channel width with individual multipliers
- 🎨 Colors: Custom colors for lines, fills, and labels
- 🔍 Visibility: Toggle line, fill, and label visibility independently
- 🌫️ Transparency: Adjust fill transparency for each Standard Deviation Channel
🏷️ Smart Labels
Labels automatically display:
1. EMA length (e.g., "- 200")
2. Calculation timeframe when custom (e.g., "- 200 (240)")
3. Trend direction through color
Label colors indicate trend direction:
- 🟢 Green: EMA is trending upward (customizable)
- 🔴 Red: EMA is trending downward (customizable)
⚙️ Global Settings
- Label Offset: Position labels away from price action (default: 20 bars)
- Label Size: Choose from multiple text sizes
- Quick Toggle: Disable all EMA lines and fills with one click while keeping labels
💡 Use Cases
- Multi-timeframe trend analysis
- Dynamic support/resistance identification
- Price volatility assessment
- Trend strength confirmation
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Comment down below if you have any cool feature ideas or want to show your support and give this indicator a like if you're enjoying it :)
Enjoy!
SS
HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Dynamic Momentum Bands | AlphaAlgosDynamic Momentum Bands | AlphaAlgos
Overview
The Dynamic Momentum Bands indicator is an advanced technical analysis tool that combines multiple analytical techniques to provide a comprehensive view of market momentum and trend dynamics. By integrating RSI (Relative Strength Index), volatility analysis, and adaptive moving averages, this indicator offers traders a nuanced perspective on market conditions.
Key Features
Adaptive band calculation based on price momentum
Integrated RSI-driven volatility scaling
Multiple moving average type options (EMA, SMA, VWMA)
Smooth, gradient-based band visualization
Optional price bar coloring for trend identification
Technical Methodology
The indicator employs a sophisticated approach to market analysis:
1. Momentum Calculation
Calculates RSI using a customizable length
Uses RSI to dynamically adjust band volatility
Scales band width based on distance from the 50 RSI level
2. Band Construction
Applies a selected moving average type to the price source
Calculates deviation using ATR (Average True Range)
Smooths band edges for improved visual clarity
Configuration Options
Core Settings:
Price Source: Choose the price data used for calculations
RSI Length: Customize the RSI calculation period (1-50)
Band Length: Adjust the moving average period (5-100)
Volatility Multiplier: Fine-tune band width
Band Type: Select between EMA, SMA, and VWMA
Visual Settings:
Bar Coloring: Toggle color-coded price bars
Gradient-based band visualization
Smooth color transitions for trend representation
Trend Identification
The indicator provides trend insights through:
Color-coded bands (blue for bullish, pink for bearish)
Smooth gradient visualization
Optional price bar coloring
Trading Applications
Trend Following:
- Use band position relative to price as trend indicator
- Identify momentum shifts through color changes
- Utilize gradient zones for trend strength assessment
Volatility Analysis:
Observe band width changes
Detect potential breakout or consolidation periods
Use RSI-driven volatility scaling for market context
Best Practices
Adjust RSI length to match trading timeframe
Experiment with different moving average types
Use in conjunction with other technical indicators
Consider volatility multiplier for different market conditions
This indicator is provided for informational purposes only. Always use proper risk management when trading. Past performance is not indicative of future results. Not financial Advise
Trend Magnet ProTrend Magnet Pro – Advanced Adaptive Trend & Oscillator Indicator
Overview:
Trend Magnet Pro is a powerful, fully customizable indicator that combines adaptive moving averages with a dynamic oscillator to provide a comprehensive view of market trends and potential reversal points. It integrates multiple analytical layers—volatility, volume, multi-timeframe analysis, and divergence detection—to help traders make informed decisions.
Key Features & Competitive Advantages:
Adaptive Moving Average (MA):
The indicator calculates an adaptive MA by blending your chosen MA type (SMA, EMA, WMA, VWMA, KAMA, or LSMA) with Kaufman’s Adaptive Moving Average (KAMA). This hybrid approach adjusts dynamically to market volatility, ensuring smoother trend detection and reducing noise during erratic periods.
Custom Oscillator Calculation:
A separate oscillator is computed based on the difference between the closing price and a dedicated oscillator MA. This difference is normalized using an ATR-based volatility measure and then smoothed with the Hull MA. This process enhances signal precision by filtering out minor fluctuations.
ATR & Volume Integration:
Using the Average True Range (ATR) for volatility and a volume spike detection mechanism, the indicator filters out weak signals. These features ensure that only significant market moves trigger trading signals.
Multi-Timeframe Analysis:
By incorporating an oscillator analysis on a higher timeframe, Trend Magnet Pro provides an extra layer of confirmation. This multi-timeframe approach improves the reliability of signals, making it easier to identify sustained trends.
Divergence Detection:
The indicator automatically detects bullish and bearish divergences between price movements and the oscillator. These divergences can serve as early warnings for potential trend reversals, adding further depth to your market analysis.
Visual Clarity & Customization:
Trend Magnet Pro offers:
A separate oscillator panel with color-coded histograms.
Overlay plots of the adaptive MA on the price chart.
Clear visual markers for buy and sell signals.
Adjustable parameters for pivot detection and oscillator pressure thresholds.
How to Use Trend Magnet Pro:
Main MA Settings:
Choose your preferred MA type and set the MA length for the main trend analysis.
The adaptive algorithm will blend this with KAMA based on current volatility.
Oscillator Settings:
Set the oscillator’s MA type and its smoothing length.
Fine-tune the oscillator parameters to match your trading style and market conditions.
Common Settings:
Define the ATR length for volatility measurement.
Adjust the volume multiplier and volume SMA period to enable volume spike detection.
Set the low and high pressure thresholds to determine oscillator color changes, reflecting different market pressures.
Multi-Timeframe & Divergence:
Optionally, select a higher timeframe for the oscillator to provide additional confirmation.
Enable divergence detection to highlight potential trend reversals based on price and oscillator pivots.
Signal Interpretation:
Buy Signal: Triggered when the oscillator crosses above zero, accompanied by volume spikes and confirmed by both multi-timeframe analysis and price being above the adaptive MA.
Sell Signal: Triggered under opposite conditions, where the oscillator crosses below zero and the price is below the adaptive MA.
By adjusting these settings, you can tailor Trend Magnet Pro to your specific market and trading strategy, making it an invaluable tool for both trend-following and reversal trading.
Русское Описание
Trend Magnet Pro – Индикатор Адаптивного Тренда и Осциллятора
Обзор:
Trend Magnet Pro – это мощный и полностью настраиваемый индикатор, который объединяет адаптивные скользящие средние с динамическим осциллятором для комплексного анализа рыночных трендов и потенциальных точек разворота. Он интегрирует несколько аналитических слоёв — волатильность, объём, мультитаймфреймовый анализ и детекцию дивергенций — что позволяет принимать обоснованные торговые решения.
Основные преимущества и функциональные возможности:
Адаптивная Скользящая Средняя (MA):
Индикатор рассчитывает адаптивную MA, комбинируя выбранный тип (SMA, EMA, WMA, VWMA, KAMA или LSMA) с Kaufman’s Adaptive Moving Average (KAMA). Такой гибридный подход динамически подстраивается под рыночную волатильность, обеспечивая более плавное определение трендов и снижая уровень шума в нестабильные периоды.
Кастомизированный Расчёт Осциллятора:
Осциллятор вычисляется отдельно на основе разницы между ценой закрытия и специально рассчитанной MA для осциллятора. Эта разница нормализуется с использованием ATR (Average True Range) для оценки волатильности и сглаживается при помощи Hull MA, что позволяет точнее фиксировать значимые сигналы и исключать мелкие колебания.
Интеграция ATR и Объёма:
Применение ATR для измерения волатильности в сочетании с механизмом обнаружения всплесков объёма позволяет отсеивать слабые сигналы. Эти функции гарантируют, что торговые сигналы возникают только при значительных движениях рынка.
Мультитаймфреймовый Анализ:
Встроенный анализ осциллятора на старшем таймфрейме даёт дополнительное подтверждение сигналов. Такой подход повышает надёжность сигналов, помогая выявлять устойчивые тренды.
Детекция Дивергенций:
Индикатор автоматически обнаруживает бычьи и медвежьи дивергенции между движением цены и осциллятором. Эти дивергенции могут служить ранним предупреждением о потенциальном развороте тренда, что добавляет глубины вашему анализу.
Удобство Визуализации и Настройки:
Trend Magnet Pro предлагает:
Отдельную панель осциллятора с цветными гистограммами.
Наложение адаптивной MA на график цены.
Чёткие визуальные сигналы для покупки и продажи.
Настраиваемые параметры для обнаружения пивотов и уровней давления осциллятора.
Как работать с Trend Magnet Pro:
Настройки Основной MA:
Выберите предпочитаемый тип MA и установите период для анализа основного тренда.
Адаптивный алгоритм объединит выбранную MA с KAMA на основе текущей волатильности.
Настройки Осциллятора:
Задайте тип MA для осциллятора и установите период сглаживания.
Подберите параметры осциллятора, чтобы он соответствовал вашему стилю торговли и рыночным условиям.
Общие Настройки:
Определите период ATR для измерения волатильности.
Настройте множитель объёма и период SMA объёма для обнаружения всплесков.
Установите пороги низкого и высокого давления, которые будут влиять на цветовую индикацию осциллятора и отражать рыночное давление.
Мультитаймфреймовый Анализ и Дивергенции:
При необходимости выберите старший таймфрейм для осциллятора, чтобы обеспечить дополнительное подтверждение сигналов.
Включите функцию детекции дивергенций для выявления потенциальных разворотов тренда на основе пивотов цены и осциллятора.
Интерпретация Сигналов:
Сигнал на покупку: Формируется, когда осциллятор пересекает ноль снизу вверх, подтверждаясь всплеском объёма, анализом на старшем таймфрейме и положением цены выше адаптивной MA.
Сигнал на продажу: Формируется при обратных условиях – когда осциллятор пересекает ноль сверху вниз, а цена находится ниже адаптивной MA.
Настройка параметров позволяет адаптировать Trend Magnet Pro под конкретный рынок и торговую стратегию, делая его незаменимым инструментом как для трендового анализа, так и для поиска разворотных сигналов.
Nef33-Volume Footprint ApproximationDescription of the "Volume Footprint Approximation" Indicator
Purpose
The "Volume Footprint Approximation" indicator is a tool designed to assist traders in analyzing market volume dynamics and anticipating potential trend changes in price. It is inspired by the concept of a volume footprint chart, which visualizes the distribution of trading volume across different price levels. However, since TradingView does not provide detailed intrabar data for all users, this indicator approximates the behavior of a footprint chart by using available volume and price data (open, close, volume) to classify volume as buy or sell, calculate volume delta, detect imbalances, and generate trend change signals.
The indicator is particularly useful for identifying areas of high buying or selling activity, imbalances between supply and demand, delta divergences, and potential reversal points in the market. It provides specific signals for bullish and bearish trend changes, making it suitable for traders looking to trade reversals or confirm trends.
How It Works
The indicator uses volume and price data from each candlestick to perform the following calculations:
Volume Classification:
Classifies the volume of each candlestick as "buy" or "sell" based on price movement:
If the closing price is higher than the opening price (close > open), the volume is classified as "buy."
If the closing price is lower than the opening price (close < open), the volume is classified as "sell."
If the closing price equals the opening price (close == open), it compares with the previous close to determine the direction:
If the current close is higher than the previous close, it is classified as "buy."
If the current close is lower than the previous close, it is classified as "sell."
If the current close equals the previous close, the classification from the previous bar is used.
Delta Calculation:
Calculates the volume delta as the difference between buy volume and sell volume (buyVolume - sellVolume).
A positive delta indicates more buy volume; a negative delta indicates more sell volume.
Imbalance Detection:
Identifies imbalances between buy and sell volume:
A buy imbalance occurs when buy volume exceeds sell volume by a defined percentage (default is 300%).
A sell imbalance occurs when sell volume exceeds buy volume by the same percentage.
Delta Divergence Detection:
Positive Delta Divergence: Occurs when the price is falling (for at least 2 bars) but the delta is increasing or becomes positive, indicating that buyers are entering despite the price decline.
Negative Delta Divergence: Occurs when the price is rising (for at least 2 bars) but the delta is decreasing or becomes negative, indicating that sellers are entering despite the price increase.
Trend Change Signals:
Bullish Signal (trendChangeBullish): Generated when the following conditions are met:
There is a positive delta divergence.
The delta has moved from a negative value (e.g., -500) to a positive value (e.g., +200) over the last 3 bars.
There is a buy imbalance.
The price is near a historical support level (approximated as the lowest low of the last 50 bars).
Bearish Signal (trendChangeBearish): Generated when the following conditions are met:
There is a negative delta divergence.
The delta has moved from a positive value (e.g., +500) to a negative value (e.g., -200) over the last 3 bars.
There is a sell imbalance.
The price is near a historical resistance level (approximated as the highest high of the last 50 bars).
Visual Elements
The indicator is displayed in a separate panel below the price chart (overlay=false) and includes the following elements:
Volume Histograms:
Buy Volume: Represented by a green histogram. Shows the volume classified as "buy."
Sell Volume: Represented by a red histogram. Shows the volume classified as "sell."
Note: The histograms overlap, and the last plotted histogram (red) takes visual precedence, meaning the sell volume may cover the buy volume if it is larger.
Delta Line:
Delta Volume: Represented by a blue line. Shows the difference between buy and sell volume.
A line above zero indicates more buy volume; a line below zero indicates more sell volume.
A dashed gray horizontal line marks the zero level for easier interpretation.
Imbalance Backgrounds:
Buy Imbalance: Light green background when buy volume exceeds sell volume by the defined percentage.
Sell Imbalance: Light red background when sell volume exceeds buy volume by the defined percentage.
Divergence Backgrounds:
Positive Delta Divergence: Lime green background when a positive delta divergence is detected.
Negative Delta Divergence: Fuchsia background when a negative delta divergence is detected.
Trend Change Signals:
Bullish Signal: Green label with the text "Bullish Trend Change" when the conditions for a bullish trend change are met.
Bearish Signal: Red label with the text "Bearish Trend Change" when the conditions for a bearish trend change are met.
Information Labels:
Below each bar, a label displays:
Total Vol: The total volume of the bar.
Delta: The delta volume value.
Alerts
The indicator generates the following alerts:
Positive Delta Divergence: "Positive Delta Divergence Detected! Price is falling, but delta is increasing."
Negative Delta Divergence: "Negative Delta Divergence Detected! Price is rising, but delta is decreasing."
Bullish Trend Change Signal: "Bullish Trend Change Signal! Positive Delta Divergence, Delta Rise, Buy Imbalance, and Near Support."
Bearish Trend Change Signal: "Bearish Trend Change Signal! Negative Delta Divergence, Delta Drop, Sell Imbalance, and Near Resistance."
These alerts can be configured in TradingView to receive real-time notifications.
Adjustable Parameters
The indicator allows customization of the following parameters:
Imbalance Threshold (%): The percentage required to detect an imbalance between buy and sell volume (default is 300%).
Lookback Period for Divergence: Number of bars to look back for detecting price and delta trends (default is 2 bars).
Support/Resistance Lookback Period: Number of bars to look back for identifying historical support and resistance levels (default is 50 bars).
Delta High Threshold (Bearish): Minimum delta value 2 bars ago for the bearish signal (default is +500).
Delta Low Threshold (Bearish): Maximum delta value in the current bar for the bearish signal (default is -200).
Delta Low Threshold (Bullish): Maximum delta value 2 bars ago for the bullish signal (default is -500).
Delta High Threshold (Bullish): Minimum delta value in the current bar for the bullish signal (default is +200).
Practical Use
The indicator is useful for the following purposes:
Identifying Trend Changes:
The trend change signals (trendChangeBullish and trendChangeBearish) indicate potential price reversals. For example, a bullish signal near a support level may be an opportunity to enter a long position.
Detecting Divergences:
Delta divergences (positive and negative) can anticipate trend changes by showing a disagreement between price movement and underlying buying/selling pressure.
Finding Key Levels:
Imbalances (green and red backgrounds) often coincide with support and resistance levels, helping to identify areas where the market might react.
Confirming Trends:
A consistently positive delta in an uptrend or a negative delta in a downtrend can confirm the strength of the trend.
Identifying Failed Auctions:
Although not detected automatically, you can manually identify failed auctions by observing a price move to new highs/lows with decreasing volume in the direction of the move.
Limitations
Intrabar Data: It does not use detailed intrabar data, making it less precise than a native footprint chart.
Approximations: Volume classification and support/resistance detection are approximations, which may lead to false signals.
Volume Dependency: It requires reliable volume data, so it may be less effective on assets with inaccurate volume data (e.g., some forex pairs).
False Signals: Divergences and imbalances do not always indicate a trend change, especially in strongly trending markets.
Recommendations
Combine with Other Indicators: Use tools like RSI, MACD, support/resistance levels, or candlestick patterns to confirm signals.
Trade on Higher Timeframes: Signals are more reliable on higher timeframes like 1-hour or 4-hour charts.
Perform Backtesting: Evaluate the indicator's accuracy on historical data to adjust parameters and improve effectiveness.
Adjust Parameters: Modify thresholds (e.g., imbalanceThreshold or supportResistanceLookback) based on the asset and timeframe you are trading.
Conclusion
The "Volume Footprint Approximation" indicator is a powerful tool for analyzing volume dynamics and anticipating price trend changes. By classifying volume, calculating delta, detecting imbalances and divergences, and generating trend change signals, it provides traders with valuable insights into market buying and selling pressure. While it has limitations due to the lack of intrabar data, it can be highly effective when used in combination with other technical analysis tools and on assets with reliable volume data.
Momentum Trend Strength (MTS) *Julian_Acunja*Momentum Trend Strength (MTS)
The Momentum Trend Strength (MTS) indicator visually represents market momentum directly on your chart. By clearly highlighting momentum direction and intensity, traders can easily recognize shifts in market sentiment and anticipate potential turning points.
Traders can easily adjust the sensitivity and smoothing parameters, making it adaptable to diverse market conditions and trading strategies.
🔹 USAGE
The Momentum Trend Strength indicator helps traders intuitively detect market momentum, enhancing their ability to anticipate and respond dynamically to changing market conditions. Traders typically interpret three main scenarios using this indicator:
🚀 Momentum Acceleration:
An expanding green line above recent price action signals increasing bullish momentum, suggesting buyers are gaining strength. Conversely, a downward-expanding red line below price action indicates stronger bearish momentum, signifying increasing selling pressure.
🔄 Momentum Reversal:
A clear shift from red to green (or vice versa) often signals potential momentum reversals, providing traders with timely indications of possible market turns or shifts in sentiment.
⚖️ Momentum Consolidation:
When the indicator remains near the price line, it suggests weak momentum and potential market consolidation. Traders might interpret this as a range-bound market environment, adjusting their strategies accordingly.
By carefully monitoring these momentum shifts, traders can gain deeper insights into the underlying market dynamics and better prepare for future price movements.
🔹 DETAILS
The indicator’s momentum visualization is presented directly over the current price action, enhancing traders' ability to rapidly interpret momentum without additional chart clutter:
✅ Green Line: Positive momentum (bullish bias).
❌ Red Line: Negative momentum (bearish bias).
The vertical distance between the Momentum Trend Strength line and price visually indicates momentum intensity:
Larger distance: Signifies stronger market momentum.
Smaller distance: Suggests weakening momentum or neutral conditions.
🔹 Interpretation
Key interpretations include:
Bullish Confirmation: Sustained green lines indicate robust buying activity and confirm bullish trends.
Bearish Confirmation: Persistent red lines suggest strong selling pressure and validate bearish market sentiment.
Early Reversal Signals: Color transitions alert traders to potential market reversals, providing early opportunities to reassess trades.
🔹 Practical Application
Traders commonly integrate Momentum Trend Strength (MTS) into their broader trading strategies by:
Confirming directional trends alongside price action analysis.
Identifying optimal trade entry and exit points during momentum shifts.
Reducing market noise through customizable smoothing, enhancing clarity of momentum signals.
🔹 SETTINGS
📌 Momentum Parameters
Length: Adjusts sensitivity for momentum detection, influencing how quickly momentum shifts are identified.
EMA Smoothing: Determines the level of noise filtering, balancing signal responsiveness and smoothness.
📌 Visualization
Automatic color adaptation clearly signals bullish or bearish momentum.
Simple default visualization settings optimize usability for traders across various markets and timeframes.
🔹 ADDITIONAL NOTES
The Momentum Trend Strength (MTS) indicator provides traders with a straightforward yet powerful visualization of momentum directly on the price chart. Its intuitive nature and adaptive settings make it a valuable addition to various trading approaches and analytical methods, helping traders confidently interpret market movements and momentum dynamics in real-time.
Nasan Ultimate Health Index (NUHI)The Nasan Ultimate Health Index (NUHI) is a technical indicator designed to measure the relative health of a stock compared to a benchmark index or sector. By incorporating price action, volume dynamics, and volatility, NUHI provides traders with a clearer picture of a stock’s performance relative to the broader market.
The NUHI is based on the idea that a stock’s relative strength and momentum can be assessed more effectively when adjusted for volume behavior and benchmark comparison. Instead of looking at price movement alone, this indicator factors in:
The stock’s price trend (via EMA)
Volume participation (green vs. red volume) and volume ratio - SMA(volume, 21)/ SMA(volume, 252)
Volatility-adjusted performance (ATR-based scaling)
Comparison with a selected benchmark (e.g., SPX, NDX, sector ETFs)
This results in a normalized and comparative score that helps traders identify outperforming, neutral, and underperforming stocks within a specific market environment.
The NUHI is constructed using the following elements:
1️⃣ Stock Raw Score (Unadjusted Momentum)
The exponential moving average (EMA) of the hlc3 (average of high, low, close) is used to define the price trend.
The difference between the current EMA and the EMA from n bars ago shows whether the stock is gaining or losing momentum.
This difference is divided by the ATR (Average True Range) to adjust for volatility.
2️⃣ Volume Behavior Adjustment
Volume is split into green volume (up candles) and red volume (down candles).
The ratio of green to red volume determines whether buyers or sellers dominate over the selected period (n bars).
If the stock is in an uptrend, green volume is weighted higher; if in a downtrend, red volume is weighted higher.
The stock’s Volume Ratio (short-term SMA divided by long-term SMA) is adjusted based on this weight.
3️⃣ Benchmark Comparison
A similar Raw Score calculation is performed on the selected benchmark (SPX, NDX, or sector ETF).
Benchmark price movements, volume behavior, and ATR adjustments mirror the stock’s calculations.
This provides a reference point for evaluating the stock’s relative strength.
4️⃣ Normalization Process
Both the stock and benchmark raw scores are min-max normalized over the past 252 bars (1-year lookback).
This scales values between 0 and 1, ensuring fair comparisons regardless of absolute price differences.
5️⃣ NUHI Calculation
The final NUHI value is computed using a logarithmic ratio between the normalized stock score and the normalized benchmark score:
This transformation ensures a more symmetrical representation of overperformance and underperformance.
Performance Zones
Strong Outperforming (NUHI between >0.41 and 0.69)
Leading (NUHI between >0.10 and 0.41)
Transitioning Outperformance (NUHI between 0.10 and 0)
Equilibrium (NUHI 0)
Transitioning Underperformance (NUHI between -0.10 and 0)
Lagging (NUHI between < -0.1 and -0.41)
Strong Underperforming (NUHI between< -0.41 and -0.69 )
How to Use NUHI
✅ Identifying Strong Stocks
If NUHI > 0, the stock is outperforming its benchmark.
If NUHI < 0, the stock is underperforming the benchmark.
✅ Trend Confirmation
A steadily rising NUHI and raw score (colored green) suggests sustained strength bullish conditions.
A falling NUHI and raw score (colored orange) indicates weakness and possible rotation into other assets.
✅ Finding Reversals
Bullish Divergence: If NUHI is improving while the stock’s raw score is negative, it may signal a bottoming opportunity.
Bearish Signs: If NUHI is dropping despite price strength, it could hint at underlying weakness.
Why a Stock in a Downtrend Can Have NUHI > 0 (and Vice Versa )
NUHI measures performance relative to both its own history and the benchmark.
A stock’s recent movement is compared to how it usually behaves and how the benchmark is performing.
Example Scenarios:
Stock in a Downtrend but NUHI > 0
The stock may still be in a downtrend (negative raw score), but it’s performing better relative to its past downtrend behavior and better than the benchmark over the same period.
This could mean it’s showing relative strength compared to the broader market or sector.
Stock in an Uptrend but NUHI < 0
Even in a uptrend (positive raw score), the stock might be underperforming relative to its past uptrend behavior and underperforming the benchmark.
What This Means:
NUHI > 0 in a downtrend → The stock is falling less aggressively than usual and/or holding up better than the benchmark.
NUHI < 0 in an uptrend → The stock is gaining less than expected based on its history and/or lagging behind the benchmark.
NUHI helps identify relative strength or weakness .
Dynamic Heat Levels [BigBeluga]This indicator visualizes dynamic support and resistance levels with an adaptive heatmap effect. It helps traders identify key price interaction zones and potential mean reversion opportunities by displaying multiple levels that react to price movement.
🔵Key Features:
Multi-Level Heatmap Channel:
- The indicator plots multiple dynamic levels forming a structured channel.
- Each level represents a historical price interaction zone, helping traders identify critical areas.
- The channel expands or contracts based on market conditions, adapting dynamically to price movements.
Heatmap-Based Strength Indication:
- Levels change in transparency and color intensity based on price interactions for the length period .
- The more frequently price interacts with a level, the more visible and intense the color becomes.
- When a level reaches a threshold (count > 10), it starts to turn red, signaling a high-heat zone with significant price activity.
🔵Usage:
Support & Resistance Analysis: Identify price levels where the market frequently interacts, making them strong areas for trade decisions.
Heatmap Strength Assessment: More intense red levels indicate areas with heavy price activity, useful for detecting key liquidity zones.
Dynamic Heat Levels is a powerful tool for traders looking to analyze price interaction zones with a heatmap effect. It offers a structured visualization of market dynamics, allowing traders to gauge the significance of key levels and detect mean reversion setups effectively.
