90min + Daily + Weekly Cycles + Alerts [Final]Quarterly theory indicator
Customizable indicator 90m cycles, daily, and weekly
Indicadores e estratégias
RSI Prior DayLagged RSI indicator showing the prior day's RSI(14) value for easy divergence detection. Plot it alongside current RSI to spot bullish/bearish signals. Ideal for swing traders scanning for momentum shifts.
Ichimoku Cloud Indicator [TradingFinder] Kinko Hyo Cross Alerts🔵 Introduction
The Ichimoku Cloud (Ichimoku Kinko Hyo) is one of the most powerful and complete trading indicators in technical analysis. Originally developed by Japanese journalist Goichi Hosoda, the Ichimoku system combines multiple tools in one indicator, providing traders with instant insights into trend direction, support and resistance levels, and momentum. Unlike simple moving averages (SMA – Simple Moving Average), the Ichimoku Cloud (Kumo – Cloud) integrates dynamic elements that help traders forecast potential price action with greater clarity.
The Ichimoku Indicator (Ichimoku Signal System) is widely used across global markets, from Forex trading (FX – Foreign Exchange) to stocks, indices, and even cryptocurrencies. Its popularity comes from its ability to generate clear buy signals and sell signals based on the interaction of its components: Tenkan Sen (Conversion Line), Kijun Sen (Base Line), Senkou Span A, Senkou Span B, and Chikou Span (Lagging Line). When combined, these lines create the Ichimoku Cloud, which visually represents the balance between price action and market structure.
Ichimoku Cloud Lines Formulas :
Conversion Line (Tenkan Sen / Conversion Line) : Average of the highest high and lowest low over the past 9 periods => (9-PH + 9-PL) ÷ 2
Base Line (Kijun Sen / Base Line) : Average of the highest high and lowest low over the past 26 periods => (26-PH + 26-PL) ÷ 2
Leading Span A (Senkou Span A / Leading Span A) : Average of the Conversion Line and Base Line, plotted 26 periods ahead => (Tenkan Sen + Kijun Sen) ÷ 2
Leading Span B (Senkou Span B / Leading Span B) : Average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead => (52-PH + 52-PL) ÷ 2
Lagging Span (Chikou Span / Lagging Span) : Current closing price, plotted 26 periods behind.
One of the biggest advantages of the Ichimoku Trading Strategy (Ichimoku Cloud Trading System) is that it allows traders to identify the market condition at a glance. When the price is above the Kumo (Cloud), it indicates a bullish trend (uptrend). When the price is below the Kumo, the market is in a bearish trend (downtrend). And when the price is inside the cloud, the market is ranging (sideways trend). This simplicity and visual clarity make Ichimoku an essential indicator for both beginner traders and professional analysts.
The Ichimoku Cloud Indicator (Ichimoku Technical Analysis Tool) continues to be one of the most reliable charting methods. Traders often consider it superior to basic moving averages (MA – Moving Average) or exponential moving averages (EMA – Exponential Moving Average), because it not only shows trend direction but also highlights potential future support and resistance levels. With its unique combination of trend analysis, price forecasting, and trading signals, Ichimoku remains a core strategy in modern trading systems.
🔵 How to Use
The Ichimoku Cloud is more than just a set of lines; it’s a complete trading system that helps traders identify trends, momentum, and key support and resistance levels. By combining its five lines Conversion Line, Base Line, Leading Span A, Leading Span B, and Lagging Span traders can develop clear buy and sell strategies.
🟣 Identifying Trend Direction
Bullish Trend (Uptrend) : Price is above the cloud (Kumo), and the cloud is green. Leading Span A is above Leading Span B, signaling strong upward momentum.
Bearish Trend (Downtrend) : Price is below the cloud, and the cloud is red. Leading Span A is below Leading Span B, confirming a downward momentum.
Ranging / Sideways Market : Price is inside the cloud, indicating indecision and consolidation. Traders often avoid opening strong positions during these periods.
🟣 Buy Strategies
Conversion/Base Line Crossover : A buy signal occurs when the Conversion Line (Tenkan Sen) crosses above the Base Line (Kijun Sen). The signal is strongest when this crossover happens above the cloud.
Price Above Base Line : If the price moves above the Base Line while in an uptrend, it confirms bullish momentum and provides a favorable entry point.
Cloud Support Pullback : During a pullback in an uptrend, the price may touch or slightly enter the cloud. Traders can use the cloud as a dynamic support zone for buying opportunities.
Lagging Span Confirmation : Ensure the Lagging Span (Chikou Span) is above the price of 26 periods ago to confirm the strength of the bullish trend.
🟣 Sell Strategies
Conversion/Base Line Crossover : A sell signal is generated when the Conversion Line (Tenkan Sen) crosses below the Base Line (Kijun Sen). This signal is strongest when it occurs below the cloud.
Price Below Base Line : If the price falls below the Base Line in a downtrend, it confirms bearish momentum and strengthens the sell setup.
Cloud Resistance Pullback : During a bounce in a downtrend, the cloud acts as a resistance zone. Traders can enter sell positions when price approaches or touches the cloud from below.
Lagging Span Confirmation : The Lagging Span should be below the price of 26 periods ago, confirming downward momentum.
🟣 Cloud Breakout Signals
A strong buy occurs when the price breaks above the cloud from below, signaling a potential trend reversal.
A strong sell occurs when the price breaks below the cloud from above, indicating a shift toward a bearish trend.
🟣 Combining Signals for Stronger Entries
For higher probability trades, combine multiple signals : trend direction (cloud color and position), crossovers (Tenkan/Kijun), and Lagging Span position.
Avoid trading against the overall trend. For example, avoid buying when price is below a red cloud or selling when price is above a green cloud.
🔵 Setting
Tenkan Sen Period : Lookback period for Conversion Line (default: 9).
Kijun Sen Period : Lookback period for Base Line (default: 26).
Span B Period : Lookback period for Leading Span B, forms one Cloud boundary (default: 52).
Shift Lines : Periods forward for Cloud / backward for Lagging Span (default: 26).
Cross Tenkan/Kijun Alert : Alert on Conversion/Base Line crossover.
Cross Price/Tenkan Alert : Alert when price crosses Tenkan Sen.
Cross Price/Kijun Alert : Alert when price crosses Kijun Sen
🔵 Conclusion
The Ichimoku Cloud (Ichimoku Kinko Hyo) is much more than a simple indicator it is a complete trading system that combines trend detection, momentum analysis, and support/resistance identification in one view. By interpreting the position of price relative to the cloud, the interaction between Tenkan Sen (Conversion Line) and Kijun Sen (Base Line), the leading spans (Senkou Span A and B), and the Chikou Span (Lagging Line), traders can identify potential buy and sell opportunities with higher confidence.
The main advantage of the Ichimoku Cloud is its ability to provide a “one-look equilibrium” snapshot of the market. It highlights bullish trends when the price is above the cloud, bearish conditions when the price is below it, and indecision or transition when the price is inside the cloud. Crossovers, cloud breakouts, and confirmations by the Chikou Span strengthen the trading signals.
However, traders should keep in mind the limitations of the Ichimoku system. It is based on historical data and should not be used in isolation. Combining it with other tools such as RSI, volume analysis, or candlestick patterns can significantly improve accuracy and reduce false signals.
IKIGAI ZigZags//@version=6
indicator("IKIGAI ZigZags", overlay = true, max_lines_count = 500, max_labels_count = 500)
import TradingView/ZigZag/7 as ZigZagLib
deviationInput = input.float(5.0, "Price deviation for reversals (%)", 0.00001, 100.0, 0.5, "0.00001 - 100"),
depthInput = input.int(10, "Pivot legs", 2),
lineColorInput = input(#2962FF, "Line color", display = display.data_window),
extendInput = input(true, "Extend to last bar", display = display.data_window),
showPriceInput = input(true, "Display reversal price", display = display.data_window),
showVolInput = input(true, "Display cumulative volume", display = display.data_window),
showChgInput = input(true, "Display reversal price change", inline = "priceRev", display = display.data_window),
priceDiffInput = input.string("Absolute", "", , inline = "priceRev", display = display.data_window, active = showChgInput)
// Create Zig Zag instance from user settings.
var zigZag = ZigZagLib.newInstance(
ZigZagLib.Settings.new(
deviationInput, depthInput, lineColorInput, extendInput, showPriceInput, showVolInput, showChgInput,
priceDiffInput, true)
)
// Update 'zigZag' object on each bar with new pivots, volume, lines, labels.
zigZag.update()
aaa sibilio 5.5 New 4## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications**
### **The Non-Parallelism Principle: Mathematical Foundation**
The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages.
**Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel.
**Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average.
### **System Energy: Derivation from Curvature**
It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**.
**Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context:
- **Potential energy** = Distance between moving average and its regression
- **Kinetic energy** = Speed of approach or separation between the two curves
- **Total system energy** = Sum of potential and kinetic energy
**Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point.
### **The Hierarchical Rolling Principle**
The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory.
**Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages.
**Propagation mechanism:**
1. **Macro level** (long averages): Change in direction of principal forces
2. **Medium level** (intermediate averages): Signal transmission
3. **Micro level** (short averages): Final manifestation of the change
### **Derived Strategic Formations**
This hierarchical rolling allows us to identify **important formations** for the strategy:
**Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created.
**Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement.
**Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance.
### **Strategic Implications**
These theoretical principles translate into concrete operational advantages:
1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements
2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points
3. **Risk management:** Understanding system energy allows proper position sizing
The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
aaa sibilio 5.5 New Tre## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications**
### **The Non-Parallelism Principle: Mathematical Foundation**
The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages.
**Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel.
**Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average.
### **System Energy: Derivation from Curvature**
It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**.
**Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context:
- **Potential energy** = Distance between moving average and its regression
- **Kinetic energy** = Speed of approach or separation between the two curves
- **Total system energy** = Sum of potential and kinetic energy
**Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point.
### **The Hierarchical Rolling Principle**
The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory.
**Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages.
**Propagation mechanism:**
1. **Macro level** (long averages): Change in direction of principal forces
2. **Medium level** (intermediate averages): Signal transmission
3. **Micro level** (short averages): Final manifestation of the change
### **Derived Strategic Formations**
This hierarchical rolling allows us to identify **important formations** for the strategy:
**Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created.
**Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement.
**Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance.
### **Strategic Implications**
These theoretical principles translate into concrete operational advantages:
1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements
2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points
3. **Risk management:** Understanding system energy allows proper position sizing
The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
aaa sibilio 5.5 New Due## **Le Caratteristiche Fondamentali delle Medie: Principi Teorici e Applicazioni Strategiche**
### **Il Principio della Non-Parallelità: Fondamento Matematico**
Il primo principio fondamentale che governa le medie mobili stabilisce che **qualsiasi media non può mai essere parallela alla sua regressione lineare**. Questo non è un caso o un'anomalia, ma una conseguenza diretta della natura matematica delle medie mobili.
**Spiegazione teorica:** Una media mobile è un filtro passa-basso che rimuove le frequenze ad alta velocità dai dati di prezzo, mentre una regressione lineare rappresenta la tendenza lineare ottimale nel periodo considerato. Poiché la media mobile mantiene traccia delle oscillazioni attorno al trend (seppur attenuate), mentre la regressione elimina completamente queste oscillazioni per fornire solo la direzione generale, le due curve non possono mai essere identiche o parallele.
**Implicazione cruciale:** Questa caratteristica certifica che **le medie hanno sempre un andamento curvilineo** rispetto alla loro regressione. La curvatura non è un'imperfezione del calcolo, ma la manifestazione della dinamica intrinseca dei dati di mercato filtrati attraverso la media mobile.
### **L'Energia del Sistema: Derivazione dalla Curvatura**
È proprio questa caratteristica curvilinea che ci consente di determinare parametri fondamentali come **l'energia del sistema**.
**Base fisica:** In fisica, l'energia potenziale di un sistema curvilineo è proporzionale alla deviazione dalla traiettoria di equilibrio (rappresentata dalla regressione lineare). Nel nostro contesto:
- **Energia potenziale** = Distanza tra media mobile e sua regressione
- **Energia cinetica** = Velocità di avvicinamento o allontanamento tra le due curve
- **Energia totale del sistema** = Somma di energia potenziale e cinetica
**Applicazione pratica:** Quando la media si allontana dalla sua regressione, accumula energia potenziale che deve essere rilasciata. Quando si avvicina rapidamente, manifesta energia cinetica che può portare a overshooting del punto di equilibrio.
### **Il Principio dell'Arrotolamento Gerarchico**
Il secondo principio fondamentale stabilisce che **le curve si arrotolano tra loro partendo dai periodi più lunghi verso quelli più piccoli**. Questo fenomeno ha radici profonde nella teoria dei sistemi dinamici.
**Spiegazione teorica:** Le medie con periodi più lunghi hanno maggiore inerzia e resistenza al cambiamento (analogamente alla massa in fisica). Quando si verifica un cambiamento di tendenza, questo si propaga prima nelle medie a periodo lungo (che rappresentano le forze dominanti del sistema), per poi diffondersi progressivamente verso le medie a periodo più breve.
**Meccanismo di propagazione:**
1. **Livello macro** (medie lunghe): Cambio di direzione delle forze principali
2. **Livello medio** (medie intermedie): Trasmissione del segnale
3. **Livello micro** (medie brevi): Manifestazione finale del cambiamento
### **Formazioni Strategiche Derivate**
Questo arrotolamento gerarchico ci consente di identificare **formazioni importanti** per la strategia:
**Confluenza di Arrotolamento:** Quando più medie di diversi periodi iniziano simultaneamente il processo di arrotolamento, si crea una zona di alta probabilità di inversione.
**Cascata di Allineamento:** La sequenza temporale con cui le medie si arrotolano fornisce informazioni sulla forza e persistenza del movimento imminente.
**Zone di Resistenza Dinamica:** I punti dove l'arrotolamento incontra resistenza indicano livelli critici dove le forze opposte si equilibrano temporaneamente.
### **Implicazioni per la Strategia**
Questi principi teorici si traducono in vantaggi operativi concreti:
1. **Prevedibilità dell'energia:** Possiamo quantificare l'energia accumulata nel sistema e prevedere la forza dei movimenti futuri
2. **Timing degli ingressi:** L'arrotolamento gerarchico fornisce una sequenza temporale per ottimizzare i punti di ingresso
3. **Gestione del rischio:** La comprensione dell'energia del sistema permette di dimensionare correttamente le posizioni
La combinazione di questi due principi - non-parallelità e arrotolamento gerarchico - trasforma le medie mobili da semplici indicatori di trend in strumenti sofisticati per l'analisi energetica e dinamica dei mercati finanziari.
versione inglese
## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications**
### **The Non-Parallelism Principle: Mathematical Foundation**
The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages.
**Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel.
**Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average.
### **System Energy: Derivation from Curvature**
It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**.
**Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context:
- **Potential energy** = Distance between moving average and its regression
- **Kinetic energy** = Speed of approach or separation between the two curves
- **Total system energy** = Sum of potential and kinetic energy
**Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point.
### **The Hierarchical Rolling Principle**
The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory.
**Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages.
**Propagation mechanism:**
1. **Macro level** (long averages): Change in direction of principal forces
2. **Medium level** (intermediate averages): Signal transmission
3. **Micro level** (short averages): Final manifestation of the change
### **Derived Strategic Formations**
This hierarchical rolling allows us to identify **important formations** for the strategy:
**Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created.
**Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement.
**Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance.
### **Strategic Implications**
These theoretical principles translate into concrete operational advantages:
1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements
2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points
3. **Risk management:** Understanding system energy allows proper position sizing
The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
Volume PivotOVERVIEW
Volume Pivot is a technical analysis tool for TradingView designed to identify key turning points in the market by focusing on volume rather than price. It detects peaks and troughs (pivots) in trading volume to pinpoint moments of maximum market interest or exhaustion.
This indicator performs its analysis on both the Current Timeframe (CTF) and a user-defined Higher Timeframe (HTF). This dual-perspective approach allows traders to simultaneously grasp short-term market reactions and long-term structural shifts, leading to more informed and high-conviction trading decisions.
FEATURES
Automatic Pivot Detection
Automatically identifies and plots Volume Pivot Highs (peaks) and Pivot Lows (troughs) based on a user-defined Lookback Length.
Dual Timeframe Display
- CTF Signals : Plotted as tiny circles directly above the corresponding volume bars for immediate, short-term context.
- HTF Signals : Plotted as slightly larger circles at the bottom of the indicator pane, making them easy to distinguish as signals of higher significance.
Flexible HTF Configuration
Customize which higher timeframe to use for analysis based on your current chart timeframe. For example, you can set the indicator to reference the 1-hour chart as the HTF when you are on the 5-minute chart, and the Daily chart as the HTF when you are on the 1-hour chart.
Intuitive Volume Bars
The volume bars are color-coded to show whether volume is increasing (bullish color) or decreasing (bearish color) compared to the previous bar, offering a quick visual gauge of market momentum.
Full Customization
Easily toggle the visibility of CTF and HTF signals and customize the colors for bullish and bearish pivots to match your charting preferences.
MK_OSFT-Momentum Confluence DetectorMOMENTUM CONFLUENCE DETECTOR - Trading Indicator Overview
What This Indicator Does
The Momentum Confluence Detector is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities by detecting momentum bars that align with multiple confluence factors. It combines traditional technical analysis with advanced Smart Money Concepts to filter out noise and highlight the most significant price movements.
CORE FUNCTIONALITY
📊 Momentum Bar Detection Identifies unusual volume and bar size expansion using customizable multipliers
Detects bullish, bearish, and neutral momentum bars based on OHLC relationships
Uses moving averages to establish baseline volume and bar size thresholds
🔄 Multi-Filter Confluence System
The indicator employs up to 5 different filter types to validate momentum signals:
Level Concept Filter - Choose between:
- Support/Resistance Levels : Traditional pivot-based S/R zones with touch counting and break tracking
- Smart Money Concepts : Institutional order flow analysis including Order Blocks, Fair Value Gaps (FVGs), and market structure breaks
Trend Filter : EMA/SMA-based trend direction confirmation with alignment requirements
Breakout Filter : Detects price breakouts beyond recent highs/lows with percentage thresholds
Volatility Filter : ATR expansion confirmation to ensure signals occur during active market conditions
Market Session Filter : Filters signals to specific trading sessions (Tokyo, London, New York)
ADVANCED FEATURES
🎯 Smart Money Concepts Integration
Order Blocks : Identifies institutional supply/demand zones from major and minor structure breaks
Fair Value Gaps (FVGs) : Detects price imbalances and tracks their evolution through partial fills and inversions
Market Structure : Recognizes Break of Structure (BOS) and Change of Character (CHoCH) patterns
Retracement Patterns : Tracks HLH (Higher-Low-Higher) and LHL (Lower-High-Lower) institutional patterns
📈 Support/Resistance System
Multi-timeframe pivot detection (3, 5, 7-bar spans)
Volume-weighted strength calculation for level importance
Dynamic level merging and break tracking
Automatic level type classification (Support/Resistance/Flip zones)
⚙️ Intelligent Filtering Logic
ALL Mode : Requires all enabled filters to pass (high precision)
ANY Mode : Requires at least one filter to pass (higher frequency)
Real-time filter status tracking and visualization
Visual Features
Signal Markers : Clear triangular markers for qualified momentum bars
Unfiltered Signals : Optional display of raw momentum bars for comparison
Level Visualization : Dynamic S/R level boxes and lines with strength indicators
Structure Lines : BOS/CHoCH break visualization with major/minor classification
Fair Value Gaps : Color-coded boxes showing bullish/bearish FVGs with partial fill tracking and IFVG conversion
Order Blocks : Institutional supply/demand zones displayed as colored boxes with major/minor classification
Information Table : Real-time display of signal details and filter status
Session Boxes : Visual representation of active trading sessions
Practical Applications
✅ Swing Trading : Identify high-probability reversal and continuation setups
✅ Day Trading : Spot intraday momentum shifts with institutional backing
✅ Multi-Timeframe Analysis : Combine major and minor structure analysis
✅ Risk Management : Filter out low-quality setups using confluence requirements
✅ Educational : Understand market structure and institutional order flow
Customization Options
Adjustable momentum thresholds for different market conditions
Comprehensive filter settings with individual enable/disable controls
Visual customization for colors, sizes, and display preferences
Alert system with detailed signal information
Performance optimization settings for different chart timeframes
Who Should Use This Indicator
This indicator is suitable for traders who:
Want to combine multiple technical analysis approaches
Seek to understand institutional market behavior
Prefer confluence-based trading setups
Need customizable filtering for different market conditions
Value comprehensive signal validation over high-frequency alerts
The Momentum Confluence Detector transforms complex market analysis into clear, actionable signals by requiring multiple forms of confirmation before highlighting trading opportunities.
8 SMA Bands (Points)The "8 SMA Bands (Points)" indicator creates a set of eight Simple Moving Average (SMA) bands with adjustable offsets, overlaid on a price chart.
Here’s a breakdown:
Purpose: It tracks price trends using multiple SMAs of varying lengths (default 25, 50, 100, 200, 400, 800, 1600 periods) and adds upper and lower bands around each SMA based on point offsets, helping identify potential support, resistance, and trend strength.
Key Components:
SMAs: Eight SMAs are calculated using closing prices with lengths ranging from 25 to 1600 periods. Each SMA is plotted with a distinct color and line thickness (e.g., MA 1 is blue, MA 8 is white with thicker lines).
Bands: For each SMA, upper and lower bands are created by adding or subtracting a point-based offset (suggestions are to use default Murray Math based numbers e.g., 0.305176 for MA 1, 39.062528 for MA 8) multiplied by a global multiplier (default 1.0). These offsets define the band width and are customizable.
Customization: Users can adjust SMA lengths, offset points, colors, and the global multiplier via input settings grouped by each MA.
Visuals: SMAs are plotted as solid lines with increasing thickness for longer periods (e.g., MA 6–8 use thicker lines or circles).
Bands are plotted as semi-transparent lines matching the SMA color, with longer-term bands (MA 6–7) using a different style for emphasis.
Usage: The indicator helps traders visualize trend direction (upward if price is above most SMAs, downward if below) and potential reversal zones where price interacts with band boundaries.
The flattening or crossing of bands can signal momentum shifts. The coming together of multiple envelope tops/bottoms can signal reversal zones of various degrees based on how many envelopes come together. More envelopes converging mean a more significant top or bottom.
This indicator is particularly useful for identifying multi-timeframe trends and volatility zones on assets like Gold Futures, with flexibility to fine-tune based on market conditions.
ORB Pro w/ Filters + Debug + ORB Fib + Golden Pocket + HTF Trend🚀 ORB Pro – Advanced Opening Range Breakout System
A professional ORB indicator with built-in filters, retest confirmation, EMA/HTF trend alignment, and automatic risk/reward targets. Designed to eliminate false breakouts and give traders clean LONG/SHORT signals with Fibonacci and debug overlays for maximum precision.
This script is an advanced Opening Range Breakout (ORB) system designed for futures, indices, and options traders who want more precision, cleaner entries, and higher win probability. It combines classic ORB logic with modern filters, Fibonacci confluence, and higher-timeframe trend confirmation.
The indicator automatically:
Plots the ORB box based on user-defined NY session times (default: 9:30–9:45 EST).
Generates long/short signals when price breaks the ORB range, with optional conditions like:
Candle close outside the range
Retest confirmation (with tolerance %)
Volume spike validation
EMA trend alignment
Higher-timeframe EMA slope alignment
Cooldown filters to prevent over-trading
Integrates Fibonacci retracements & extensions from the ORB box for confluence levels.
Includes Golden Pocket (0.5–0.618) retests for precision entries
Risk/Reward visualization — automatically plots stop loss and take profit levels based on user-defined R:R or fixed % levels.
Debug mode overlay to show why a signal is blocked (e.g., low volume, ORB too small, too late, wrong trend).
This tool is built for scalpers, day traders, and 0DTE options traders who need both flexibility and discipline.
⚙️ Inputs & Features
ORB Settings
ORB Start & End Time (NY) → Default: 9:30–9:45
Require Candle Close → Ensures breakouts are confirmed, not wick traps.
Retest Confirmation → Optional retest before entry (tolerance % adjustable).
Filters
Volume Spike → Validates breakouts only with above-average volume.
EMA Trend Filter → Confirms trade direction with EMA slope.
Higher Timeframe Trend → Optional (e.g., 15m ORB with 1h EMA alignment).
Cooldown Bars → Prevents consecutive false signals.
ORB Size Filter → Blocks signals when ORB is too small/too large.
Fibonacci Levels
Retracements: 0.236, 0.382, 0.5, 0.618, 0.786
Extensions: 1.272, 1.618
Golden Pocket Retest filter for high-probability trades
Risk Management
R:R Stops/Targets → Automatically plots SL/TP levels.
Custom Stop % / Take Profit % if not using R:R
Debug Overlay → Explains why signals are blocked
🧑💻 How to Use
Load the indicator on your chart (works best on 1m, 5m, and 15m).
Adjust ORB window (default 9:30–9:45 EST).
Select filters (candle close, retest, volume, EMA, HTF trend).
Watch for Long/Short labels outside ORB box with filters aligned.
Manage trades using plotted SL/TP levels or your own Webull/R:R calculator.
✅ Best Use Cases
Futures (NQ1!, ES1!)
ETFs (QQQ, SPY, IWM)
0DTE Options Trading
Scalping around market open
⚠️ Disclaimer
This tool is for educational purposes only. It does not constitute financial advice. Trading carries risk, and past performance does not guarantee future results. Always test on paper trading before using real capital.
-----------------------------------------
ORB Pro w/ Filters + Debug + ORB Fib + Golden Pocket + HTF Trend
A professional Opening Range Breakout (ORB) toolkit designed for intraday traders who want precision entries, risk-managed exits, and layered confirmation filters. Built for futures, stocks, and ETFs (e.g. NQ, ES, QQQ).
🔎 Core Logic
This script plots and trades breakouts from the Opening Range (9:30 – 9:45 NY time), then applies multiple confirmation filters before signaling a LONG or SHORT setup:
ORB Box: Defines the first 15 minutes of market activity (customizable).
Breakout Candle Confirmation: Requires a candle close outside the ORB box.
Retest Confirmation: Price must retest the ORB edge within tolerance before triggering.
Trend Filter: EMA confirmation to align trades with intraday trend.
Higher-Timeframe Trend Filter: Optional (default: 45-minute EMA) to avoid countertrend trades.
Fibonacci Levels: Auto-plot retracements (0.236 → 0.786) for confluence and trade management.
Golden Pocket Retest (Optional): Adds an extra precision filter at 0.5–0.618 retracement.
⚙️ Default Settings (Optimized for Beginners)
These are the pre-configured inputs so traders can load and trade immediately:
ORB Session: 9:30 – 9:45 NY
✅ Require Candle Close Outside ORB
✅ Require Retest Confirmation (tolerance 0.333%)
❌ Require Volume Spike (off by default, optional toggle)
✅ Require EMA Trend (50 EMA intraday)
✅ Require Higher-TF Trend (45m, EMA 21)
❌ Higher-TF EMA slope required (off)
✅ Cooldown Between Signals (10 bars)
ORB % Range: Min 0.3%, Max 0.5%
Max Minutes After ORB: 180
✅ ORB-based Risk/Reward Stops & Targets (default: 2R)
Stop Loss: 0.5% (if not R:R)
Take Profit: 1% (if not R:R)
✅ Debug Overlay (shows why signals are blocked)
✅ Fibonacci Retracements Plotted
❌ Extensions (off by default, toggle if needed)
✅ Golden Pocket Retest available, tolerance 0.11 (optional)
📈 Signals
Green "LONG" Label: Valid breakout above ORB with trend confirmation.
Red "SHORT" Label: Valid breakdown below ORB with trend confirmation.
Blocked (debug text): Signal suppressed by filters (low volume, too late, no retest, etc.).
🎯 Trade Management
Default R:R is 2:1 (stop at ORB edge, TP projected).
For manual trading (e.g., Webull, IBKR), you can use the plotted TP/SL boxes directly.
Fibonacci + Golden Pocket give additional profit-taking levels and retest filters.
✅ Best Practices
Use 15m chart for main ORB entries.
Confirm direction with HTF trend (45m EMA by default).
Avoid signals blocked by “Low Volume” or “Too Late” (debug helps identify).
Adjust ORB % range for asset volatility (tight for ETFs, wider for futures).
🚀 Why ORB Pro?
This is more than a standard ORB indicator. It’s a professional breakout system with filters designed to avoid false breakouts, automatically handle risk/reward, and guide traders with clear visual signals. Perfect for both systematic day traders and discretionary scalpers who want structure and confidence.
👉 Recommended starting point:
Load defaults → trade the 15m ORB with EMA + HTF filters on → let the script handle retests and stop/target placement.
Time Range by exp3rtsTime Window highlights a custom time range directly on your chart, helping you focus on specific market sessions or trading hours.
Key Features:
Highlights a custom time range with a shaded background
Fully adjustable start and end time (hour & minute)
Supports multiple time zones (e.g., GMT, UTC, Europe/Berlin)
Optional market color shading inside the window (bull/bear neutral tone)
Use Cases:
Mark London Open, New York Session, or any session overlap
Focus on high-probability trading hours
Visualize your backtesting timeframe or algo activity window
Track premarket or after-hours activity for futures or indices
Customization:
Set the beginning and end time in your local or exchange time zone
Choose your timezone string (e.g., "GMT", "Etc/UTC", "America/New_York")
Automatically colors candles in the time window for easy visibility
Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)Repeater Integer Levels (…999, …888, …777)
Balance of Risks (with Strength & Scale)This helps outline higher time frame tilt, to help assess probabilities
SuperTrend Optimizer Remastered[CHE] SuperTrend Optimizer Remastered — Grid-ranked SuperTrend with additive or multiplicative scoring
Summary
This indicator evaluates a fixed grid of one hundred and two SuperTrend parameter pairs and ranks them by a simple flip-to-flip return model. It auto-selects the currently best-scoring combination and renders its SuperTrend in real time, with optional gradient coloring for faster visual parsing. The original concept is by KioseffTrading Thanks a lot for it.
For years I wanted to shorten the roughly two thousand three hundred seventy-one lines; I have now reduced the core to about three hundred eighty lines without triggering script errors. The simplification is generalizable to other indicators. A multiplicative return mode was added alongside the existing additive aggregation, enabling different rankings and often more realistic compounding behavior.
Motivation: Why this design?
SuperTrend is sensitive to its factor and period. Picking a single pair statically can underperform across regimes. This design sweeps a compact parameter grid around user-defined lower bounds, measures flip-to-flip outcomes, and promotes the combination with the strongest cumulative return. The approach keeps the visual footprint familiar while removing manual trial-and-error. The multiplicative mode captures compounding effects; the additive mode remains available for linear aggregation.
Originally (by KioseffTrading)
Very long script (~2,371 lines), monolithic structure.
SuperTrend optimization with additive (cumulative percentage-sum) scoring only.
Heavier use of repetitive code; limited modularity and fewer UI conveniences.
No explicit multiplicative compounding option; rankings did not reflect sequence-sensitive equity growth.
Now (remastered by CHE)
Compact core (~380 lines) with the same functional intent, no compile errors.
Adds multiplicative (compounding) scoring alongside additive, changing rankings to reflect real equity paths and penalize drawdown sequences.
Fixed 34×3 grid sweep, live ranking, gradient-based bar/wick/line visuals, top-table display, and an optional override plot.
Cleaner arrays/state handling, last-bar table updates, and reusable simplification pattern that can be applied to other indicators.
What’s different vs. standard approaches?
Baseline: A single SuperTrend with hand-picked inputs.
Architecture differences:
Fixed grid of thirty-four factor offsets across three ATR offsets.
Per-combination flip-to-flip backtest with additive or multiplicative aggregation.
Live ranking with optional “Best” or “Worst” table output.
Gradient bar, wick, and line coloring driven by consecutive trend counts.
Optional override plot to force a specific SuperTrend independent of ranking.
Practical effect: Charts show the currently best-scoring SuperTrend, not a static choice, plus an on-chart table of top performers for transparency.
How it works (technical)
For each parameter pair, the script computes SuperTrend value and direction. It monitors direction transitions and treats a change from up to down as a long entry and the reverse as an exit, measuring the move between entry and exit using close prices. Results are aggregated per pair either by summing percentage changes or by compounding return factors and then converting to percent for comparison. On the last bar, open trades are included as unrealized contributions to ranking. The best combination’s line is plotted, with separate styling for up and down regimes. Consecutive regime counts are normalized within a rolling window and mapped to gradients for bars, wicks, and lines. A two-column table reports the best or worst performers, with an optional row describing the parameter sweep.
Parameter Guide
Factor (Lower Bound) — Starting SuperTrend factor; the grid adds offsets between zero and three point three. Default three point zero. Higher raises distance to price and reduces flips.
ATR Period (Lower Bound) — Starting ATR length; the grid adds zero, one, and two. Default ten. Longer reduces noise at the cost of responsiveness.
Best vs Worst — Ranks by top or bottom cumulative return. Default Best. Use Worst for stress tests.
Calculation Mode — Additive sums percents; Multiplicative compounds returns. Multiplicative is closer to equity growth and can change the leaderboard.
Show in Table — “Top Three” or “All”. Fewer rows keep charts clean.
Show “Parameters Tested” Label — Displays the effective sweep ranges for auditability.
Plot Override SuperTrend — If enabled, the override factor and ATR are plotted instead of the ranked winner.
Override Factor / ATR Period — Values used when override is on.
Light Mode (for Table) — Adjusts table colors for bright charts.
Gradient/Coloring controls — Toggles for gradient bars and wick coloring, window length for normalization, gamma for contrast, and transparency settings. Use these to emphasize or tone down visual intensity.
Table Position and Text Size — Places the table and sets typography.
Reading & Interpretation
The auto SuperTrend plots one line for up regimes and one for down regimes. Color intensity reflects consecutive trend persistence within the chosen window. A small square at the bottom encodes the same gradient as a compact status channel. Optional wick coloring uses the same gradient for maximum contrast. The performance table lists parameter pairs and their cumulative return under the chosen aggregation; positive values are tinted with the up color, negative with the down color. “Long” labels mark flips that open a long in the simplified model.
Practical Workflows & Combinations
Trend following: Use the auto line as your primary bias. Enter on flips aligned with structure such as higher highs and higher lows. Filter with higher-timeframe trend or volatility contraction.
Exits/Stops: Consider conservative exits when color intensity fades or when the opposite line is approached. Aggressive traders can trail near the plotted line.
Override mode: When you want stability across instruments, enable override and standardize factor and ATR; keep the table visible for sanity checks.
Multi-asset/Multi-TF: Defaults travel well on liquid instruments and intraday to daily timeframes. Heavier assets may prefer larger lower bounds or multiplicative mode.
Behavior, Constraints & Performance
Repaint/confirmation: Signals are based on SuperTrend direction; confirmation is best assessed on closed bars to avoid mid-bar oscillation. No higher-timeframe requests are used.
Resources: One hundred and two SuperTrend evaluations per bar, arrays for state, and a last-bar table render. This is efficient for the grid size but avoid stacking many instances.
Known limits: The flip model ignores costs, slippage, and short exposure. Rapid whipsaws can degrade both aggregation modes. Gradients are cosmetic and do not change logic.
Sensible Defaults & Quick Tuning
Start with the provided lower bounds and “Top Three” table.
Too many flips → raise the lower bound factor or period.
Too sluggish → lower the bounds or switch to additive mode.
Rankings feel unstable → prefer multiplicative mode and extend the normalization window.
Visuals too strong → increase gradient transparency or disable wick coloring.
What this indicator is—and isn’t
This is a parameter-sweep and visualization layer for SuperTrend selection. It is not a complete trading system, not predictive, and does not include position sizing, transaction costs, or risk management. Combine with market structure, higher-timeframe context, and explicit risk controls.
Attribution and refactor note: The original work is by KioseffTrading. The script has been refactored from approximately two thousand three hundred seventy-one lines to about three hundred eighty core lines, retaining behavior without compiler errors. The general simplification pattern is reusable for other indicators.
Metadata
Name/Tag: SuperTrend Optimizer Remastered
Pine version: v6
Overlay or separate pane: true (overlay)
Core idea/principle: Grid-based SuperTrend selection by cumulative flip returns with additive or multiplicative aggregation.
Primary outputs/signals: Auto-selected SuperTrend up and down lines, optional override lines, gradient bar and wick colors, “Long” labels, performance table.
Inputs with defaults: See Parameter Guide above.
Metrics/functions used: SuperTrend, ATR, arrays, barstate checks, windowed normalization, gamma-based contrast adjustment, table API, gradient utilities.
Special techniques: Fixed grid sweep, compounding vs linear aggregation, last-bar UI updates, gradient encoding of persistence.
Performance/constraints: One hundred and two SuperTrend calls, arrays of length one hundred and two, label budget, last-bar table updates, no higher-timeframe requests.
Recommended use-cases/workflows: Trend bias selection, quick parameter audits, override standardization across assets.
Compatibility/assets/timeframes: Standard OHLC charts across intraday to daily; liquid instruments recommended.
Limitations/risks: Costs and slippage omitted; mid-bar instability possible; not suitable for synthetic chart types.
Debug/diagnostics: Ranking table, optional tested-range label; internal counters for consecutive trends.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Total Points Moved by exp3rtsThis lightweight utility tracks the total intraday range of price movement, giving you real-time insight into market activity.
It calculates:
🟩 Bullish Points – Total range from bullish candles (close > open)
🟥 Bearish Points – Total range from bearish candles (close < open)
🔁 Total Points Moved (TPM) – Sum of all high–low ranges for the day
Values are pulled from the 1-second chart for high precision and displayed in a compact tag in the top-right corner.
Not Your Daddy's EMA CrossoverNot Your Daddy's EMA Crossover - Quick Guide
What It Does
This isn't your typical 50/200 EMA crossover. It uses academically-proven, optimized EMA periods specifically backtested for crypto markets. Instead of generic settings, it adapts to different trading styles with research-backed parameter combinations that have demonstrated real returns.
Core Logic
Enters when fast EMA crosses slow EMA in the trend direction (confirmed by 200 SMA filter)
Exits either on opposite EMA cross (trend-following) or at fixed profit targets (scalping)
Uses a 200 SMA to filter trades - only longs above it, only shorts below it
Key Settings & Toggles
1. Trading Style (Auto-adjusts EMA periods):
"15 Min Scalping": 9/21 EMA - Fast-paced, frequent signals
"1 Hour Swing": 13/48 EMA - For swing trading
"Daily Trend": 15/150 MA - Captured +97.87% in bull runs
2. Entry Method:
"Crossover Entry": Enters immediately on EMA cross
"Pullback to EMA Entry": Waits for first pullback to slow EMA (better risk/reward)
3. Exit Method:
"EMA Cross Exit": Trend-following, lets winners run until EMAs reverse
"Fixed % Target (Scalping)": Quick 0.5-1% profits with tight stops
4. Optional Features:
MACD Confirmation: Adds 6-15-1 MACD filter for higher-probability setups
Periodic Compounding: Compounds every 30 hours (research shows 1-30 hour compounding is optimal)
Recommended Timeframes
📊 Match your chart to your selection:
Select "15 Min Scalping" → Use 15-minute chart
Select "1 Hour Swing" → Use 1-hour chart
Select "Daily Trend" → Use daily chart
I personally like this on the daily, which coincidentally is printing a long signal today on Bitcoin.
Enjoy!
Trend Candle CounterComplete Tutorial: Trend Candle Counter Pine ScriptTable of Contents
Installation Guide
Understanding the Indicator
How It Works
Customization Options
Trading Strategies
Setting Up Alerts
Troubleshooting
1. Installation Guide {#installation}Step-by-Step Installation:Step 1: Open TradingView
Go to www.tradingview.com
Log in to your account
Step 2: Access Pine Editor
Click on "Pine Editor" tab at the bottom of the chart
Or press Alt + E (Windows) or Option + E (Mac)
Step 3: Create New Indicator
Click "Open" → "New blank indicator"
Delete any default code
Step 4: Paste the Script
Copy the entire Trend Candle Counter script
Paste it into the editor
Step 5: Save and Apply
Click "Save" (or Ctrl + S)
Give it a name: "Trend Candle Counter"
Click "Add to Chart"
✅ Done! The indicator should now appear on your chart.2. Understanding the Indicator {#understanding}What Does It Do?This indicator numbers each candle based on the current trend: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Trend TypeNumberingVisualUptrend+1, +2, +3, +4...🟢 Green labelsDowntrend-1, -2, -3, -4...🔴 Red labelsTrend ChangeResets to ±1Label color switchesVisual Components:
Candle Labels - Numbers above each candle
Trend Line (EMA) - Green (up) / Red (down)
Background Shading - Light green/red tint
Info Table - Top-right corner showing:
Current trend direction
Current candle number
Current price
3. How It Works {#how-it-works}Trend Detection Logic:IF Close > EMA → UPTREND (positive counting)
IF Close < EMA → DOWNTREND (negative counting)
Counting Mechanism:Example Uptrend:Candle 1: Close > EMA → Label: +1
Candle 2: Close > EMA → Label: +2
Candle 3: Close > EMA → Label: +3
Candle 4: Close < EMA → Label: -1 (trend changed!)
Example Downtrend:Candle 1: Close < EMA → Label: -1
Candle 2: Close < EMA → Label: -2
Candle 3: Close < EMA → Label: -3
Candle 4: Close > EMA → Label: +1 (trend changed!)
Key Insight:The higher the absolute number, the longer the trend has been running!4. Customization Options {#customization}Accessing Settings:
Click the gear icon ⚙️ next to the indicator name
Go to "Inputs" tab
Available Parameters: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}ParameterDefaultDescriptionRecommendationTrend Detection Length14EMA period for trend5-10: Scalping14-20: Day trading50-200: Swing tradingShow Candle Numbers✅ YesDisplay labelsDisable for cleaner chartLabel SizeSmallSize of numbersTiny: Multi-timeframeLarge: Focus on one chartUptrend ColorGreenPositive number colorCustomize to preferenceDowntrend ColorRedNegative number colorCustomize to preferenceOptimization by Trading Style:For Scalpers (1m - 5m charts):Trend Detection Length: 5-10
Label Size: Tiny
Show Labels: Optional (can be cluttered)
For Day Traders (15m - 1h charts):Trend Detection Length: 14-20
Label Size: Small
Show Labels: Yes
For Swing Traders (4h - Daily charts):Trend Detection Length: 50-100
Label Size: Normal
Show Labels: Yes
5. Trading Strategies {#strategies}Strategy 1: Trend Reversal TradingEntry Signals:
Buy: When counter changes from negative to +1
Sell: When counter changes from positive to -1
Confirmation:
Wait for +2 or -2 to confirm trend strength
Use additional indicators (RSI, MACD) for validation
Example:Candle: -5, -6, -7, -8, +1, +2 ← BUY HERE
Stop Loss: Below the -8 candle low
Target: When counter reaches +8 to +10
Strategy 2: Trend Continuation TradingEntry Signals:
Buy: Enter on pullbacks during uptrend (e.g., at +3, +5, +7)
Sell: Enter on bounces during downtrend (e.g., at -3, -5, -7)
Risk Management:
Avoid entering at high numbers (+15, -15) - trend may be exhausted
Example:Candle: +1, +2, +3 ← Small pullback, BUY
Continue: +4, +5, +6, +7
Exit: When counter resets to -1
Strategy 3: Trend Exhaustion DetectionWarning Signs:
Counter reaches +10 or higher → Uptrend may be overextended
Counter reaches -10 or lower → Downtrend may be overextended
Action:
Tighten stop losses
Take partial profits
Watch for reversal patterns (doji, engulfing)
Strategy 4: Multi-Timeframe AnalysisSetup:
Add indicator to 3 timeframes (e.g., 15m, 1h, 4h)
Look for alignment
Best Trades:15m: +1 (new uptrend)
1h: +5 (established uptrend)
4h: +3 (strong uptrend)
→ HIGH PROBABILITY BUY
6. Setting Up Alerts {#alerts}Built-in Alert Conditions:The script includes 2 automatic alerts:
"Uptrend Started" - Triggers when counter = +1
"Downtrend Started" - Triggers when counter = -1
How to Set Up Alerts:Step 1: Right-click on chart
Select "Add Alert"
Step 2: Configure Alert
Condition: Select "Trend Candle Counter"
Choose: "Uptrend Started" or "Downtrend Started"
Options:
Once per bar close (recommended)
Webhook URL (for automation)
Step 3: Notification Settings
✅ Popup
✅ Send email
✅ Push notification (mobile app)
✅ Play sound
Step 4: Create Alert
Click "Create"
Custom Alert Ideas:Alert for Specific Candle Numbers:
Notify when counter reaches +5 or -5
Notify when counter exceeds +10 or -10 (exhaustion)
7. Troubleshooting {#troubleshooting}Common Issues & Solutions:Issue 1: Labels are too cluttered
Solution:
Disable "Show Candle Numbers" in settings
Use larger timeframe
Reduce label size to "tiny"
Issue 2: Too many false signals
Solution:
Increase "Trend Detection Length" (e.g., 20, 50)
Wait for +2 or -2 confirmation
Combine with other indicators
Issue 3: Trend line doesn't match price action
Solution:
Adjust EMA length to match your trading style
Consider using different trend detection (SMA, HMA)
Issue 4: Indicator not showing on chart
Solution:
Check if it's in a separate pane - move to main chart
Refresh the page
Re-add the indicator
Issue 5: Counter seems delayed
Solution:
This is normal - indicator confirms on candle close
For faster signals, use lower timeframe
Reduce EMA length (but expect more noise)
8. Advanced Tips 💡Combining with Other Indicators:Best Combinations:
RSI + Trend Candle Counter
Buy at +1 when RSI > 50
Sell at -1 when RSI < 50
MACD + Trend Candle Counter
Confirm +1 with MACD bullish crossover
Confirm -1 with MACD bearish crossover
Volume + Trend Candle Counter
Strong trends (+1) should have increasing volume
Low volume at high numbers (+10) = exhaustion
Reading Market Psychology: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Counter ValueMarket Psychology+1 to +3Early adopters entering+4 to +7Momentum building+8 to +12FOMO phase+13+Extreme greed - caution!-1 to -3Early sellers-4 to -7Panic building-8 to -12Capitulation-13+Extreme fear - reversal likely9. Real Trading Example 📊Scenario: BTC/USD 1H ChartTime | Counter | Action
--------|---------|----------------------------------
10:00 | -8 | Downtrend established
11:00 | -9 | Still falling
12:00 | -10 | Exhaustion zone - watch closely
13:00 | +1 | ✅ BUY SIGNAL - Trend reversal!
14:00 | +2 | Confirmation - trend valid
15:00 | +3 | Hold position
16:00 | +4 | Add to position (optional)
17:00 | +5 | Move stop loss to breakeven
...
22:00 | +11 | Take partial profits
23:00 | +12 | Tighten stop loss
00:00 | -1 | ❌ EXIT - Trend reversed
MTF EMA200 Dashboard (No Trend Column)Show ema200 position on multiple timeframe, so that in run time we can see price strength and weekness
Pivot MoChiThis uses Current Day opening in place of previous day close
More Dynamic than Traditional Pivots
RSI Trendlines and Divergences█OVERVIEW
The "RSI Trendlines and Divergences" indicator is an advanced technical analysis tool that leverages the Relative Strength Index (RSI) to draw trendlines and detect divergences. Designed for traders seeking precise market signals, the indicator identifies key pivot points on the RSI chart, draws trendlines between pivots, and detects bullish and bearish divergences. It offers flexible settings, background coloring for breakout signals, and divergence labels, supported by alerts for key events. The indicator is universal and works across all markets (stocks, forex, cryptocurrencies) and timeframes.
█CONCEPTS
The indicator was developed to provide an alternative signal source for the RSI oscillator. Trendline breakouts and bounces off trendlines offer a broader perspective on potential price behavior. Combining these with traditional RSI signal interpretation can serve as a foundation for creating various trading strategies.
█FEATURES
- RSI and Pivot Calculation: Calculates RSI based on the selected source price (default: close) with a customizable period (default: 14). Identifies pivot points on RSI and price for trendlines and divergences.
- RSI Trendlines: Draws trendlines connecting RSI pivots (upper for downtrends, lower for uptrends) with optional extension (default: 30 bars). The trendline appears and generates a signal only after the first RSI crossover. Lines are colored (red for upper, green for lower).
- Trendline Fill: Widens the trendline with a tolerance margin expressed in RSI points, reducing signal noise and visually highlighting trend zones. Breaking this zone is a condition for generating signals, minimizing false signals. The tolerance margin can be increased or decreased.
- Divergence Detection: Identifies bullish and bearish divergences based on RSI and price pivots, displaying labels (“Bull” for bullish, “Bear” for bearish) with adjustable transparency. Divergence labels appear with a delay equal to the specified pivot length (default: 5). Higher values yield stronger signals but with greater delay.
- Breakout Signals: Generates signals when RSI crosses the trendline (bullish for upper lines, bearish for lower lines), with background coloring for signal confirmation.
- Alerts: Built-in alerts for:
Detection of bullish and bearish divergences.
Upper trendline crossover (bullish signal).
Lower trendline crossover (bearish signal).
- Customization: Allows adjustment of RSI length, pivot settings, line colors, fills, labels, and transparency of signals and background.
█HOW TO USE
Add the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configuring Settings.
RSI Settings
- RSI Length: Period for RSI calculation (default: 14).
- SMA Length: Period for RSI moving average (default: 9).
- Source: Source price for RSI (default: close).
Pivot Settings for Trend
- Left Bars for Pivot: Number of bars back for detecting pivots (default: 10).
- Right Bars for Pivot: Number of bars forward for confirming pivots (default: 10).
- Extension after Second Pivot: Number of bars to extend the trendline (default: 30, 0 = none). Extension increases the number of signals, while shortening reduces them.
- Tolerance: Deviation in RSI points to widen the breakout margin, reducing signal noise (default: 3.0).
Divergence Settings
- Enable Divergence Detection: Enables/disables divergence detection (default: enabled).
- Pivot Length for Divergence: Pivot period for divergences (default: 5).
Style Settings
- Upper Trendline Color: Color for downtrend lines (default: red).
- Upper Fill Color: Fill color for upper lines (default: red, transparency 70).
- Lower Trendline Color: Color for uptrend lines (default: green).
- Lower Fill Color: Fill color for lower lines (default: green, transparency 70).
- SMA Color: Color for RSI moving average (default: yellow).
- Bullish Divergence Color: Color for bullish labels (default: green).
- Bearish Divergence Color: Color for bearish labels (default: red).
- Text Color: Color for label text (default: white).
- Divergence Label Transparency: Transparency of labels (0-100, default: 40).
- Signal Background Transparency: Transparency of breakout signal background (0-100, default: 80).
Interpreting Signals
- Trendlines: Upper lines (red) indicate RSI downtrends, lower lines (green) indicate uptrends. The trendline appears and generates a signal only after the first RSI crossover. Trendline breakouts suggest potential trend reversals.
- Divergences: “Bull” labels indicate bullish divergence (potential rise), “Bear” labels indicate bearish divergence (potential decline), with a delay based on pivot length (default: 5). Divergences serve as confirmation or warning of trend reversal, not as standalone signals.
- Signal Background: Green background signals bullish breakouts, red background signals bearish breakouts.
- RSI Levels: Horizontal lines at 70 (overbought), 50 (midline), and 30 (oversold) help assess market zones.
- Alerts: Set up alerts in TradingView for divergences or trendline breakouts.
Combining with Other Tools: Use with support/resistance levels, Fibonacci levels, or other indicators for signal confirmation.
█APPLICATIONS
The "RSI Trendlines and Divergence" indicator is designed to identify trends and potential reversal points, supporting both trend-following and reversal strategies:
- Trend Confirmation: Trendlines indicate the RSI trend direction, with breakouts signaling potential reversals. The indicator is functional in traditional RSI usage, allowing classic RSI interpretation (e.g., returning from overbought/oversold zones). Combining trendline breakouts with RSI signal levels, such as a return from overbought or oversold zones paired with a trendline breakout, strengthens the signal.
- Divergence Detection: Divergences serve as confirmation or warning of trend reversal, not as standalone signals.
█NOTES
- Adjust settings (e.g., RSI length, pivots, tolerance) to suit your trading style and timeframe.
- Combine with other technical analysis tools to enhance signal accuracy.
Howard Intraday Edge (JH Edge) - (VWAP + EMA9/EMA21 + RSI)Howard Intraday Edge (JH Edge)
A disciplined intraday trading system by J. Howard.
Uses VWAP, EMA 9/21, RSI, and Optional EMA 200 to confirm trends and momentum.
Automatically plots Clean stop-loss and take profit levels. Built for SPY 0DTE-5DTE options, but works on other liquid tickers.
Focus: 1-3 high probability trades/day with tight risk control.
Best used on 1 or 3 minute timeframes.
