USDJPY Buy-Side Structure SAFEThis indicator is designed to educationally highlight buy-side behavior on USDJPY using a simple and uncluttered approach.
It focuses on trend alignment, support interaction, and confirmation, avoiding unnecessary indicators to keep the chart clear and readable.
The script uses two exponential moving averages to identify bullish market structure. When the faster EMA stays above the slower EMA, the market is considered to be in a buy-side environment. A dynamic support level is plotted using recent price lows to visualize areas where buyers may step in.
A potential buy signal appears only when:
The overall trend is bullish
Price holds above buy-side support
Price reclaims the fast EMA, showing buyer strength
This approach helps traders avoid chasing price and instead wait for structured pullbacks and confirmations.
🔹 Best used for education, structure reading, and trend-following
🔹 Works well on intraday and higher timeframes
🔹 Especially suitable for USDJPY buy-side analysis
⚠️ This script is for educational purposes only and should be used with proper risk management.
Candlestick analysis
MATT 4This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
Teril Second Candle Cross Alert (Intrabar)Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Full Dashboard V20 - Pro PA & Stoch OVB/OVS StatusTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
SMART MONEY SMT+BOS+ENTRYThis advanced trading indicator combines Smart Money Theory (SMT) and Break of Structure (BOS) analysis with synchronized multi-asset monitoring. The core concept identifies institutional activity by detecting discrepancies between correlated assets, revealing potential accumulation zones and reversal points before they become apparent to retail traders.
Key Features
Smart Money Detection:
Real-time divergence analysis between two selected assets (e.g., BTC/ETH, Gold/Silver, Currency pairs)
Identification of institutional accumulation/distribution patterns
Trend confirmation through structural sweeps and momentum shifts
Structural Analysis:
Break of Structure (BOS) detection with multi-factor confirmation
ATR-based candle size filtering to eliminate false breakouts
Clear structural shift identification with visual confirmation
Risk-Managed Execution:
Dual entry modes: Immediate (on BOS close) or Retest (on pullback to level)
Automated stop-loss placement at last structural extreme
Dynamic take-profit calculation based on user-defined risk/reward ratio
Support for long-only, short-only, or bidirectional trading strategies
Visual Interface
Colored arrows signaling buy/sell opportunities at optimal entry points
Real-time stop-loss and take-profit level visualization
SMT divergence markers above/below price action
Structural level indicators for clear market context
Configuration Options
Asset Pair Selection - Primary and secondary symbols for comparative analysis
Trading Direction - Long, Short, or Both directions
Swing Sensitivity - Adjustable pivot point detection period
Risk/Reward Ratio - Customizable profit targets relative to risk
BOS Confirmation Filter - Minimum candle body size requirement via ATR percentage
Optimal Application
Best performance on correlated assets (crypto pairs, commodities, indices)
Effective across multiple timeframes (M15 for entries, H4/D1 for context)
Combines well with volume profile and order flow analysis
Suitable for both discretionary and systematic trading approaches
Technical Advantages
Dual-asset synchronization for early signal detection
Multi-layer filtering system reducing false positives
Integrated risk management with visual guidance
Customizable sensitivity for different market conditions
Русская версия
Индикатор Smart Money Theory (SMT) + Break of Structure (BOS)
Обзор
Этот продвинутый торговый индикатор объединяет анализ Smart Money Theory (SMT) и Break of Structure (BOS) с синхронизированным мониторингом нескольких активов. Основная концепция выявляет активность институциональных игроков путем обнаружения расхождений между коррелирующими активами, показывая зоны накопления и точки разворота до того, как они становятся очевидными для розничных трейдеров.
Ключевые возможности
Детекция "умных денег":
Анализ дивергенций в реальном времени между двумя выбранными активами
Выявление паттернов накопления/распределения институциональными участниками
Подтверждение тренда через структурные сдвиги и изменения импульса
Структурный анализ:
Обнаружение Break of Structure (BOS) с многофакторным подтверждением
Фильтрация по размеру свечи на основе ATR для устранения ложных пробоев
Четкая идентификация структурных сдвигов с визуальным подтверждением
Управление рисками:
Два режима входа: Немедленный (при закрытии BOS) или Ретест (при откате к уровню)
Автоматическое размещение стоп-лосса на последнем структурном экстремуме
Динамический расчет тейк-профита на основе заданного риск-риворда
Поддержка лонг-стратегий, шорт-стратегий или обоих направлений
Визуальный интерфейс
Цветные стрелки, сигнализирующие о точках входа на покупку/продажу
Визуализация уровней стоп-лосса и тейк-профита в реальном времени
Маркеры SMT-дивергенций над/под ценовым действием
Индикаторы структурных уровней для четкого контекста рынка
Настройки
Выбор пары активов - Основной и вторичный символы для сравнительного анализа
Направление торговли - Лонг, Шорт или Оба направления
Чувствительность свингов - Настраиваемый период детекции точек разворота
Коэффициент риск/вознаграждение - Настраиваемые цели по прибыли относительно риска
Фильтр подтверждения BOS - Минимальный размер тела свечи в процентах от ATR
Оптимальное применение
Наилучшие результаты на коррелирующих активах (криптопары, товары, индексы)
Эффективен на различных таймфреймах (M15 для входов, H4/D1 для контекста)
Хорошо сочетается с анализом Volume Profile и ордерного потока
Подходит как для дискреционного, так и для системного трейдинга
Технические преимущества
Синхронизация двух активов для раннего обнаружения сигналов
Многоуровневая система фильтрации, снижающая ложные срабатывания
Интегрированное управление рисками с визуальным сопровождением
Настраиваемая чувствительность под разные рыночные условия
Infinity Cycle-Timed Framework (XRP Specific)This indicator is a time-based decision-context framework designed specifically for XRP.
It evaluates directional alignment, cycle timing proximity, and volatility-based trade quality using a repeating time structure calibrated to XRP price history.
Rather than issuing buy or sell commands, the script combines multiple classification layers into a single table and chart overlay to help users determine whether current market conditions favor participation or standing aside.
What This Script Displays
1) Directional Confluence (Table + Markers)
A short-term directional filter evaluates alignment using a moving-average reference and smoothed momentum comparison.
The result is a simple directional state:
LONG
SHORT
STAND ASIDE
Optional small markers (“L” or “S”) may appear near candles when directional alignment is present.
These markers indicate directional agreement, not trade entry signals.
2) Cycle Timing Framework (Time-Based Component)
The script includes a repeating bar-count cycle structure with user-defined pivot points.
Cycle pivots are plotted as vertical dotted lines, with optional ± bar timing windows to visualize proximity.
Past, current, and optional forward cycles are drawn for structural time reference only.
This component is time-based and does not generate price levels or forecasts.
3) HIT Balloons (Timing + Momentum Alignment)
When enabled, the script monitors whether a short-term moving-average cross occurs within a defined bar tolerance of a cycle pivot.
If this alignment occurs, a HIT balloon is plotted at that pivot:
The balloon marks time + momentum alignment
It does not predict price direction or outcome
HIT markers persist for historical review
4) Reward-to-Risk Quality (Volatility Context)
A volatility component uses ATR-based ranges around a median reference to estimate whether sufficient price movement (“runway”) exists relative to recent volatility.
The output is expressed as a relative quality score, not a target or forecast.
Composite Setup Score
The table produces a Setup Score (0–100) derived from fixed component weights:
Directional Confluence (50%)
Cycle Timing Proximity (30%)
Reward-to-Risk Quality (20%)
The score represents overall alignment quality, not trade probability or performance expectation.
Bias Classification
Based on directional confluence, the script displays a clear bias state:
LONG
SHORT
STAND ASIDE
The bias reflects current condition alignment, not a trade instruction.
How to Use
Apply the indicator to a chart and allow sufficient historical bars for cycle context.
Use cycle pivots to understand where price is within a repeating time structure.
Use directional confluence and volatility context to assess whether conditions support participation.
The indicator is designed to be used standalone. No additional scripts are required.
Chart Setup Notes
This script plots price-aligned objects and should be merged with the chart’s price scale for correct vertical alignment.
The script relies on extended historical data to display past cycles. Symbols or data feeds with limited history may not show the full structure.
Interpretation Notes
Cycle pivots represent timing reference zones, not guaranteed reversals.
Directional markers indicate environmental alignment, not entry points.
Absence of directional markers may indicate weakening confluence or transition conditions.
This script is asset-specific and is intended for use on XRP charts.
While the general methodology is time-based, the cycle structure and pivot spacing are calibrated for XRP and may not be meaningful on other assets.
Important Disclaimers
This indicator does not predict price, guarantee outcomes, or provide financial advice.
All outputs are intended for context and classification, not automated decision-making.
Always apply independent analysis and risk management.
M5/H4 Candle Box In order to quickly identify a single H4 candle on an M5 timeframe, I built an indicator that visually aggregates the corresponding lower-timeframe candles.
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Paulo - Volume Scalp AutoIndicator Name:
Paulo – Volume Scalp Auto (Crypto)
Description:
This indicator was developed for aggressive crypto scalping, with a focus on 1-minute charts and highly volatile altcoins.
It combines volume analysis, price action, and ATR-based volatility, automatically adjusting signal sensitivity depending on whether the market is in a normal or volatile regime.
The script detects relevant volume spikes relative to the moving average, helping filter out weak entries and highlighting potential short-term participation of large market players.
When volatility increases, the indicator automatically raises the volume threshold, reducing false signals that are common in fast-moving altcoins.
Key features:
• Automatic Normal vs. Volatile mode
• Dynamic volatility detection
• Visual buy and sell signals
• Native TradingView alerts
• Optimized for 1-minute crypto scalping
Disclaimer: This indicator is a decision-support tool only and does not constitute financial advice. Always use proper risk management.
Litronix Liquidity BlocksLitronix Liquidity Blocks is a session-based market structure indicator designed to highlight high-liquidity periods where institutional activity is most likely to occur.
The indicator plots price-anchored liquidity blocks based on key intraday sessions, automatically capturing each session’s high and low range and displaying it directly on the chart. All blocks are fully synchronized with price and time, ensuring precise interaction when navigating the chart.
Included Liquidity Blocks:
Asian Block – Asian session range
EU Block – Frankfurt liquidity window
NY Kill Block – High-volatility manipulation window
NY Block – New York session range
Lunch Block – Low-liquidity consolidation period
Key Features:
Session-based liquidity ranges (High / Low)
Price-anchored blocks that move precisely with the chart
Fully customizable session times and colors
Optional session labels
Clean, non-repainting logic
Optimized for intraday and scalping strategies
Best Use Cases:
Liquidity sweeps and stop-hunt detection
ICT / Smart Money Concepts
Intraday bias and session transitions
Scalping and day trading
Litronix Liquidity Blocks is built for traders who focus on where liquidity is taken, not where price is going.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
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MATT 1This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
EMA Touch & Color-Filtered Engulfing「前の足が陰線であること」という重要なフィルターが加わり、ついにロジックが完成しましたね!
TradingViewのコミュニティで高い評価を得るための、専門的かつ分かりやすい**「完全版・英語説明文」**を作成しました。そのままコピーして投稿にお使いください。
Title
EMA Touch & Color-Filtered Engulfing
Description
🚀 Overview
This indicator is a professional-grade price action tool designed for high-probability trend-following entries. It combines 4-layer Exponential Moving Averages (EMA) with a Strict Color-Filtered Engulfing logic.
The script is optimized to find moments where the market sentiment completely shifts—confirmed by price breaking through the previous candle's extreme levels (Highs/Lows) while reversing the candle color.
💎 Key Features
Strict Color-Filtered Logic:
Bullish (Long): A Green candle must engulf a Red candle’s High. This confirms that buyers have completely overpowered the previous sellers.
Bearish (Short): A Red candle must engulf a Green candle’s Low. This confirms that sellers have completely overtaken the previous buyers.
High-Break / Low-Break Confirmation: Unlike standard body-only engulfing patterns, this script requires the current close to break the previous candle's wick extremes, ensuring stronger momentum.
4-Layer EMA Structure: Default settings (10, 20, 40, 80) help you visualize dynamic support and resistance zones instantly.
Minimalist Visuals:
The Japanese character "包" (Engulf) marks high-conviction signals.
Small dots indicate precise EMA Touch moments.
📈 How to Trade with This Script
Trend Alignment: Identify the trend direction using the 4 EMA lines.
The Retest: Wait for the price to pull back and touch an EMA line (look for the dot).
The Confirmation: Execute when the "包" signal appears. This indicates that the trend is resuming with enough force to swallow the previous counter-trend candle's range.
🔔 Integrated Alerts
You can set alerts for:
EMA Touches: Be notified the moment price hits your key levels.
Engulfing Signals: Catch momentum shifts as they happen.
Combo Signals (Recommended): Receive an alert only when a "True Engulfing" occurs on an EMA touch—the highest probability setup.
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
PPAO - Propagator Price Action Oscillator
How PPAO works in one cycle (what it does every candle)
PPAO has 3 moving parts that run every bar:
1) It measures new candle pressure (the “push”)
This is the forcing term.
Return (ret): did price go up or down from last close?
Body: did the candle close above or below its open?
CLV: did the candle close near the high or near the low of its range?
With Option B, the “price action push” is directional:
Body is positive on bullish candles, negative on bearish candles.
CLV is:
near +1 if the candle closes near the high (buying strength),
near -1 if it closes near the low (selling strength).
So a candle that closes weak (near the low) pushes PPAO downward even if the candle range is large.
2) It decides how much to remember vs forget (the “friction”)
This is damping / decay.
High volatility (noisy market) → forget faster
Low volatility (cleaner market) → remember longer
So PPAO adapts: in chop it won’t hold bias for long; in smooth trends it will.
3) It updates a hidden “momentum engine” (state)
Internally it keeps two numbers (p and q) that store the market’s impulse with memory.
Every candle:
it shrinks the old state (decay),
rotates it a bit (momentum/volatility creates oscillation),
then adds the candle push (forcing).
Finally, it converts that hidden state into a 0–100 line:
> 50 means the state is aligned bullish,
< 50 means it’s aligned bearish.
The image below will give you an example of a deep analysis using the Propagator Price Action Oscillator (PPAO).
PPAO below 30
What that means mechanically
Below 30 = bearish impulse extreme.
It happens when the recent candles are consistently “bearish pressure” according to the forcing inputs:
returns are negative and/or
candles close weak inside their range (CLV negative) and/or
bodies are bearish (close < open)
Also, if volatility is elevated, damping can make this flip faster and stay extreme during a strong impulse.
What it means behaviorally
PPAO < 30 is not “prediction.” It is diagnosis:
“Recent candle pressure has been strongly bearish.”
This can show up in two common market contexts:
Continuation context
Price is breaking structure down, and candles keep closing weak → PPAO stays < 30.
Distribution / hidden weakness context (important)
Price may look stable or near a high, but candles are repeatedly closing poorly inside their ranges (negative CLV).
That makes PPAO drop under 30 even if price hasn’t collapsed yet.
That second case is exactly why Option B (Body + CLV) is useful: it can flag weak closes / selling absorption earlier than “price-only” oscillators.
PPAO above 70
What that means mechanically
Above 70 = bullish impulse extreme.
It occurs when the forcing inputs are strongly positive:
returns are positive and/or
candles close strong inside their range (CLV positive) and/or
bodies are bullish (close > open)
If volatility is not exploding, damping won’t erase the accumulated bullish state quickly, so PPAO can stay above 70 during sustained buying pressure.
What it means behaviorally
Again: not a prophecy, but an impulse read:
“Recent candle pressure has been strongly bullish.”
Two common contexts:
Trend continuation
Price is pushing higher and closes are strong → PPAO remains > 70.
Exhaustion risk
If price is hitting major resistance/liquidity and you start seeing weaker closes (CLV drops) while PPAO stops making new highs → that’s where reversals begin to appear.
The key takeaway using both images
PPAO extremes are best understood as:
Below 30: “Sellers are currently dominating candle pressure.”
Above 70: “Buyers are currently dominating candle pressure.”
Whether that dominance leads to continuation or reversal depends on what price does next (structure + where you are on the chart). PPAO is measuring pressure, not guaranteeing outcome.
[ahDirtCuhzzz]ICT Sessions_One Setup for Life Added midnight and 830 open labels. It's similar to MK's version, but I wanted labels so I made it my own, updated version
Empty Candle//@version=5
indicator("5–6 signals per day (Stable)", overlay=true)
// ─────── Inputs ───────
emaLen = input.int(50, "EMA Length", minval=10)
rsiLen = input.int(14, "RSI Length", minval=5)
volMult = input.float(1.3, "Volume multiplier", minval=1.0, step=0.1)
rsiOverb = input.int(65, "RSI Overbought", minval=50, maxval=90)
rsiOvers = input.int(35, "RSI Oversold", minval=10, maxval=50)
// ─────── Calculations ───────
ema = ta.ema(close, emaLen)
rsi = ta.rsi(close, rsiLen)
volMA = ta.sma(volume, 20)
// ─────── Trend ───────
bullTrend = close > ema
bearTrend = close < ema
volSpike = volume > volMA * volMult
// ─────── Base conditions ───────
baseBuy = bullTrend and rsi < rsiOvers and volSpike and close > open
baseSell = bearTrend and rsi > rsiOverb and volSpike and close < open
// ─────── EMA press logic ───────
emaPressBuy = close > open and open < ema and close > ema
emaPressSell = close < open and open > ema and close < ema
// ─────── Final signals ───────
buyCond = baseBuy or emaPressBuy
sellCond = baseSell or emaPressSell
// ─────── Signals (STRICTLY BAR-ANCHORED) ───────
plotshape(
buyCond,
title="BUY",
style=shape.triangleup,
location=location.belowbar,
color=color.lime,
size=size.small
)
plotshape(
sellCond,
title="SELL",
style=shape.triangledown,
location=location.abovebar,
color=color.red,
size=size.small
)
// ─────── EMA ───────
plot(ema, title="EMA", color=color.new(color.blue, 30), linewidth=2)
ICT Professional OB HunterICT Professional OB Hunter
A professional-grade Order Block mapping tool designed for traders following Smart Money Concepts to track institutional order flow and significant market structures.
This tool identifies validated Order Blocks with Break of Structure confirmation, filtering out market noise and focusing only on high-probability levels where institutional participation is evident.
How It Works
The script operates without repainting, using historical swing highs and lows as reference points rather than future data. Three core criteria must be satisfied before an Order Block is drawn:
Strong Candle Formation: The candle must have a significant body (no dojis), exceeding the ATR threshold—indicating genuine institutional participation rather than indecision.
Displacement: Following the Order Block candle, price must move with momentum exceeding 1.5x the ATR. This captures true "market shifting" moves while ignoring slow, low-volume price action.
Break of Structure: Price must definitively break the previous swing high or low to confirm momentum before the Order Block is validated and drawn.
What You See on the Chart
Thick Blue Lines: Bullish Order Blocks representing demand zones where price historically finds support and reacts upward.
Thick Orange Lines: Bearish Order Blocks representing supply zones that act as resistance.
Yellow Boxes: OTE (Optimal Trade Entry) zones between the 50% and 61.8% retracement levels of the Order Block—ICT's preferred fib confluence area for precision entries.
Dashed Lines: Breaker Blocks indicating former Order Blocks that have been violated by price and now act as reverse levels or "mitigated" areas.
Key Differences from Standard Tools
Most available Order Block indicators mark every red or green candle indiscriminately, creating excessive noise and poor trading opportunities. This code implements a displacement filter to capture only structures formed after significant, volume-backed institutional moves. It contains no future reference or repainting logic—all decisions finalize strictly on bar close based on confirmed historical data.
Settings
Displacement Lookback (2-5 bars): Determines how many subsequent bars to analyze for momentum confirmation after the initial Order Block candle. Three bars provides the optimal balance between responsiveness and confirmation.
ATR Multiplier (0.5+): Sets the sensitivity for displacement detection. A value of 1.5 works well for Gold (XAU/USD). Lower values generate more Order Blocks but decrease quality and reliability.
Mitigation Zones: Toggle the display of OTE (Optimal Trade Entry) boxes on or off.
Usage Recommendations
This indicator is not a standalone buy/sell signal generator—it marks zones where institutional capital is likely positioned.
Recommended approach:
Apply to 15-minute or 1-hour charts, particularly during the New York session (14:30-17:00 EST) when institutional volume peaks.
Wait for price to reach the confluence of the Blue Line and Yellow OTE box.
The setup invalidates if price closes below the OTE zone boundary.
When Orange lines transition to dashed (Breaker Block), recognize that former support has become resistance; adjust position management accordingly.
Risk Warning
This is a statistical model based on historical price behavior, not a "holy grail" solution. Market conditions change, particularly during high-volatility macroeconomic news events (FOMC, CPI, NFP), where Order Blocks may fail. Always employ stop-loss protection and integrate this tool as one component of a comprehensive risk management strategy rather than relying on it exclusively.
Written in Pine Script v6 utilizing array structures for efficient real-time line updates and optimized for performance even on older hardware configurations.
Developer Note: Historical backtest analysis indicates that BOS-validated Order Blocks, particularly in Gold (XAU/USD) and major indices, demonstrate improved win rates when combined with disciplined entry criteria and proper risk management. However, the market retains ultimate authority—respect price action above all indicators.
Candle Size Table (Big Font & Colors)Symbols: gold, oil, BTC, silver, USDJPY, GBPUSD, USDCAD, AUDUSD
Timeframes: 1m and 5m
Size of the previous candle (for each TF)
I’ll assume “size” = candle range (high − low) of the previous closed candle.
Simplified Zones + Styled CALL/PUT TP/SL + Fixed Scoreboardaarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator
Overview
The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals.
Integration Rationale & Component Synergy
1. Dual EMA Trend System + Stochastic RSI Convergence
Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength.
Synergy Mechanism:
The dual EMA system (12/25 periods) identifies primary trend direction
Stochastic RSI (14-period) provides overbought/oversold readings within that trend
Trend signals are only confirmed when both systems align, reducing whipsaws
EMA crossovers provide entry signals, while Stochastic RSI validates momentum
2. MA Filter Integration
Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction.
Synergy Mechanism:
200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark
Long positions only triggered above 200-MA in bullish trends
Short positions only triggered below 200-MA in bearish trends
Provides multi-timeframe confirmation to intraday signals
3. Background Highlight System
Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions.
Synergy Mechanism:
Background colors highlight Stochastic RSI events without cluttering price chart
Different colors for different signal types (middle cross, overbought/oversold, level breaks)
Works in parallel with other systems, providing additional context without interference
Component Functions & Operational Principles
Core Components:
Dual EMA System
Fast EMA (12): Quick trend changes
Slow EMA (25): Confirmed trend direction
Mode: Switchable between dual EMA display and single EMA
Signal generation based on EMA positioning and consecutive bars
Stochastic RSI System
Combines RSI momentum with stochastic oscillator principles
Triple-smoothed (RSI → Stochastic → K/D smoothing)
Predefined levels: 80 (overbought), 50 (middle), 20 (oversold)
Multiple cross types for different market conditions
Signal Generation Logic
Consecutive count mechanism for trend persistence
"B" signals: Initial bullish EMA alignment
"S" signals: Initial bearish EMA alignment
Candlestick coloring for visual trend representation
Alert Systems
EMA cross alerts for major trend changes
Stochastic RSI cross alerts for momentum shifts
Separate alerts for different signal categories
Practical Usage Guidelines
For Trend Traders:
Primary Trend Identification: Use EMA positioning relative to 200-MA
Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment
Trend Continuation: Monitor consecutive bar counts and candlestick colors
Exit Signals: Watch for opposing signals or Stochastic RSI divergence
For Range/Swing Traders:
Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80)
Middle Crosses: Stochastic RSI crosses around 50 level
EMA Filter: Use 200-MA as support/resistance reference
Customization Options:
Adjust EMA periods for different trading styles
Modify Stochastic RSI parameters for sensitivity
Enable/disable background highlights based on preference
Select MA type and period for trend filtering
Originality & Unique Features
Distinctive Integration:
Consecutive Count System: Tracks trend persistence beyond simple crossovers
Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights
Flexible EMA Modes: Switch between dual and single EMA displays
Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation
Practical Design Choices:
Color Scheme: Blue for bullish, orange for bearish (clear differentiation)
Signal Prioritization: Initial signals marked with letters, trends with colors
Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter)
Clean Visualization: Information-rich display without chart clutter
Important Disclaimers & Limitations
Realistic Expectations:
This indicator provides signals, not guarantees
All technical indicators have inherent lag
Market conditions change; no system works perfectly in all environments
Cryptocurrency markets exhibit high volatility and unpredictable behavior
Proper Usage:
Never rely solely on one indicator for trading decisions
Always use appropriate risk management and position sizing
Consider fundamental factors and market context
Test thoroughly on historical data before live implementation
Adjust parameters to match specific cryptocurrency pairs and timeframes
Development Philosophy
This indicator was developed with these principles:
Evidence-Based: Components based on widely researched technical concepts
Practical Focus: Designed for actual trading use, not theoretical perfection
User-Centric: Customizable to individual preferences and trading styles
Transparent: Clear logic without "black box" calculations
Final Recommendations
For optimal results:
Start with default parameters on major cryptocurrency pairs (BTC, ETH)
Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles
Use higher timeframes (4H, Daily) for primary trend analysis
Combine with volume analysis and market structure for confirmation
Regularly review and adjust settings as market conditions evolve
The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Terilsss Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert






















