Indikator dan strategi
Empty Candle//@version=6
indicator("Inside / Outside Candle Filter", overlay=true)
// === КОЛЬОРИ ===
insideColor = input.color(color.white, "Колір внутрішніх свічок")
// === РЕФЕРЕНСНА СВІЧКА ===
var float refHigh = na
var float refLow = na
var bool hasRef = false
// ініціалізація першої референсної свічки
if not hasRef
refHigh := high
refLow := low
hasRef := true
// === ЛОГІКА ПРОБИТТЯ ===
breaksHigh = high > refHigh
breaksLow = low < refLow
isBreak = breaksHigh or breaksLow
// === ВНУТРІШНЯ СВІЧКА ===
isInside = not isBreak
// === ОНОВЛЕННЯ РЕФЕРЕНСУ ===
if isBreak
refHigh := high
refLow := low
// === ФАРБУВАННЯ СВІЧОК ===
barcolor(isInside ? insideColor : na)
Last Candle + Previous Day + Pre-Market- RangeV2 of the Indicator (Test)
Last Candle + Previous Day + Pre-Market Script – Features
Last Candle Levels (Current Timeframe)
Draws horizontal lines at the high and low of the last confirmed candle.
Optional display of the candle range in percentage.
Lines automatically update and move correctly when zooming or changing the timeframe.
Previous Day High / Low
Shows the high and low of the previous trading day as dashed lines.
Lines are automatically updated and extend to the right, following the price scale.
Works on any timeframe chart.
Pre-Market High / Low
Highlights the pre-market session (default 04:00–09:30) with dotted lines.
Only calculated during intraday charts.
Lines behave exactly like the daily range lines: zoomable, shiftable, and extendable.
Optional toggle to enable or disable.
Customization Options
Colors for TF candle, daily range, and pre-market range lines.
Length of line extension to the right can be adjusted.
Toggle which levels to show: current TF, previous day, pre-market.
Stable & Safe in Pine Script v6
No repaint issues.
Works reliably on all intraday and daily charts.
Compatible with zooming and chart shifting.
If you want, I can also create a very short “user guide” with screenshots / labels in the chart, so it’s immediately clear what each toggle and line represents.
Do you want me to do that next?
ADX DI Cloud ADX + DI Cloud – Easy Trend Reading
This indicator enhances the classic ADX (+DI / −DI) structure by adding a dynamic cloud visualization, making trend direction and strength easy to read at a glance.
Its goal is to clearly answer three key questions:
Is the market trending or ranging?
If trending, what is the direction?
How strong is the trend?
Components
+DI (Green Line)
Represents buying pressure.
−DI (Red Line)
Represents selling pressure.
ADX (Orange Line)
Measures trend strength only.
It does not indicate direction.
DI Cloud
The filled area between +DI and −DI that visually highlights trend direction.
How to Read
ADX below 20
Market is ranging or weak
No cloud is displayed
Signals are unreliable
→ Best used as a no-trade zone
ADX above 20 with Green Cloud
Trend is active
Buyers are in control
Bullish bias
ADX above 20 with Red Cloud
Trend is active
Sellers are in control
Bearish bias
Rising ADX
Trend strength is increasing
Cloud narrowing or color change
Trend is weakening
Possible consolidation or reversal
Why Use This Indicator?
Simplifies ADX interpretation
Filters out sideways markets
Shows trend direction visually
Beginner-friendly
Useful as a trend filter for advanced strategies
Note:
This indicator is designed as a trend confirmation and filtering tool,
not as a standalone buy or sell signal.
It is recommended to use it together with price action, support/resistance,
or other indicators.
Sticky NotesSticky Notes is a clean, customizable on-chart memo tool designed to keep your trading rules, checklists, risk guidelines, and important reminders always visible — without cluttering your screen.
Perfect for day traders, swing traders, or anyone who needs quick access to personal trading discipline notes (e.g. "Never trade after journal is done", position sizing rules, max daily loss limits, SL/TP/breakeven conditions, etc.).
Key Features
Up to 6 independent notes, each with its own enable/disable toggle
Custom note titles and multi-line text content (via text areas for easy editing)
Adjustable overall position on the chart (9 corner/center options: top-right, bottom-left, etc.)
5 size choices: tiny → huge (titles automatically scale larger than body text)
Full color customization: title text, content text, table background
Fully adjustable borders:
• Outer frame (visibility, color, thickness 0–6)
• Internal cell borders (visibility, color, thickness 0–5)
→ Turn everything off for a minimal, borderless floating look
Subtle separators between notes for better readability
Efficient table-based rendering — only updates on the last bar
How to Use
Add the indicator to your chart
Open Settings → enable/disable individual notes
Edit titles and text directly in the inputs (supports long multi-line reminders)
Choose your preferred screen position, size, colors, and border style
Keep your trading plan, psychology rules, or daily checklist right in view — no more alt-tabbing to Notion or paper notes!
Great for enforcing discipline: risk management rules, session guidelines, "if this then that" conditions, mandatory routines, or even simple motivational reminders.
Price-Time Confluence EnginePrice-Time Confluence Engine is a two-component analytical framework designed to examine how price-based volatility behavior and time-based momentum rhythm align on a chart.
The script is intended for visual context and structural analysis. It does not predict price, generate trade instructions, or guarantee outcomes.
Component A — Price-Based Volatility Context (Overlay)
This component plots volatility-derived reference levels directly on the price chart.
ATR Target
A single ATR-based reference level is calculated from the current bar:
If the current close is higher than the prior close, the target is placed above price.
If the current close is lower than the prior close, the target is placed below price.
If the close is unchanged, no new target is generated.
The ATR target represents a volatility reach reference, not a forecast.
Mean & Deviation Bands
A statistical context layer is added using:
A simple moving average (mean)
Up to four standard-deviation bands (mean ± N × deviation)
These bands provide range context for assessing whether volatility behavior is occurring within relatively normal or extended conditions.
Target and HIT Labels
A Target label marks the ATR reference level.
A HIT label appears when price reaches that ATR level on the same bar.
An optional filter can require the ATR target to fall within the first deviation band before a HIT is printed, limiting labels in extended conditions.
Label history can be limited to the most recent N labels or allowed to persist (with a safety cap).
Component B — Time-Based Momentum Context (Indicator Pane)
This component analyzes momentum rhythm using a Stochastic RSI oscillator and a visual projection tool.
Live Stochastic RSI
RSI is calculated from price.
A stochastic transform is applied to RSI.
%K and %D lines are smoothed using user-defined inputs.
Overbought and oversold reference levels are displayed.
This provides real-time momentum context.
Projection Clone (Pattern Comparison)
A historical segment of the oscillator is selected using bars-back inputs, then:
Re-plotted forward by a user-defined shift
Optionally normalized to the recent oscillator range for visual consistency
This feature is a pattern-comparison and rhythm-study tool, not a prediction model.
Timing Annotations
When projected %K and %D segments cross:
Vertical dotted timing markers may be drawn in the pane
Small directional arrows may be placed near the crossing level
An optional single “Projected Cross” label highlights the nearest upcoming projected crossing
These annotations identify potential timing alignment points, not trade signals.
Intended Interpretation
The script is designed to help users observe situations where:
Price volatility reference levels and
Momentum timing behavior
appear near each other in time.
This proximity is presented as context for analysis, not confirmation of reversal, continuation, or outcome.
Chart Setup Notes
Price-based elements are plotted on the price scale. Ensure the indicator is properly aligned with the chart’s price scale if using custom layouts.
The projection feature relies on historical data. Symbols or settings with limited available history may restrict projection length.
Important Notes
ATR targets are volatility references, not price predictions.
Projection patterns may or may not repeat.
HIT labels indicate that a defined volatility condition occurred; they are not buy or sell signals.
This script is intended for educational and analytical use only.
Volume Conviction Index v1.0Volume Conviction Index V1 (VCI V1)
A robust, outlier-resistant volume oscillator designed to reveal real market participation and conviction behind price moves.
- Brief explainer -
v1.0 : Added a median line to show the movement and ultimate conviction of current price waves irrespective of current conviction. conviction can be extremely low (below zero line), yet price can be pumping, which shows the end of the current trend may be exhausting. divergence happens with this indicator is VERY FAST when tuned into it.
Core features:
• Median + MAD-based Z-score on volume (ignores extreme spikes/noise)
• Weighted blend: 60% robust deviation + 40% directional conviction (recent change % + relative volume %)
• Aggressive low-TF filter: optional rolling median line around zero to slice through 1min/3min chop
• Positive bars (teal) = unusual upward participation / conviction
• Negative bars (orange) = unusual weakness or drying volume
Use cases:
• Confirm breakouts, reversals, or exhaustion (e.g., spike on neckline breach)
• Filter false moves in low-liquidity or noisy periods
• Pair with Median Anchor Oscillator (MAO), Real Deviation Strength (RDS), and Anchor Pulse Wave (APW) for full conviction suite
V1 is raw and minimal — no signals, labels, or alerts yet. Feedback welcome for V2!
Companion suite:
• Median Anchor Oscillator
• Real Deviation Strength (RDS)
• Anchor Pulse Wave
© RU55IANROUL3TT3
Aggressive Buyers & SellersShows indicators of aggressive sellers and buyers, so when you are looking at the chart closer then you will be able to make short time trade based off the indicators tell.
Divergence Detector with GradingIt detects divergences in real time and grades the divergence based on the probability of that divergence playing out. It will grade divergences with a higher grade if near major support and resistantance levels.
Opening Range with Timezone & Points Opening range indicator on 1min , which can use for breakout strategy
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Smart Money Structure FilterEnglish Description
Overview
Smart Money Structure Analyzer is a professional trading tool that implements Smart Money Concepts (SMC) to identify key market structure shifts, Break of Structure (BOS), and Change of Character (CHoCH) patterns. This indicator helps traders follow the "smart money" flow by detecting institutional order flow patterns on any timeframe.
Key Features
Swing Point Detection - Identifies significant highs and lows using fractal-based logic
Market Structure Analysis - Classifies market conditions as Uptrend, Downtrend, or Consolidation
Break of Structure (BOS) - Detects when price breaks key structural levels
Change of Character (CHoCH) - Identifies potential trend reversals
Mitigation Levels - Shows potential retracement targets after structure breaks
How It Works
The indicator analyzes price action through several layers:
Swing Detection Algorithm
Uses a configurable swing period (3-21 bars)
Identifies valid swing highs and lows that are confirmed by surrounding price action
Stores the last 20 swings for structure analysis
Structure Determination
Uptrend: Higher Highs (HH) + Higher Lows (HL)
Downtrend: Lower Lows (LL) + Lower Highs (LH)
Consolidation: Mixed structure or ranging market
Break of Structure (BOS) Logic
Bearish BOS: Price closes below the last confirmed Higher Low (HL)
Bullish BOS: Price closes above the last confirmed Lower High (LH)
Change of Character (CHoCH) Logic
Bearish CHoCH: After a bearish BOS, price forms a Lower Low (confirms trend reversal)
Bullish CHoCH: After a bullish BOS, price forms a Higher High (confirms trend reversal)
Mitigation Levels
Calculates potential retracement levels after BOS (typically ±0.2% from broken structure)
Visual Elements
Fractals: Swing points (optional display)
Structure Lines: Last Higher Low (blue) and Last Lower High (purple)
BOS Signals: Triangles marking structure breaks
CHoCH Signals: Circles confirming trend changes
Mitigation Levels: Dotted orange lines for potential retracements
Info Label: Real-time structure status and key levels
Alerts
The indicator provides alerts for:
Break of Structure (BOS) events
Change of Character (CHoCH) confirmations
Settings
Swing Period: Sensitivity of swing detection (default: 3)
Show Fractals: Toggle swing point markers
Show Structure Lines: Display key structure levels
Show Break of Structure: Display BOS signals
Show Change of Character: Display CHoCH signals
Show Mitigation Levels: Display retracement levels
Best Practices
Use on higher timeframes (1H+) for more reliable signals
Combine with volume analysis for confirmation
Wait for CHoCH confirmation before entering trades
Use mitigation levels as potential entry zones
Русское описание
Обзор
Smart Money Structure Analyzer - профессиональный торговый инструмент, реализующий концепции Smart Money (SMC) для определения ключевых сдвигов рыночной структуры, Break of Structure (BOS) и Change of Character (CHoCH). Индикатор помогает отслеживать поток "умных денег", выявляя паттерны институционального ордерного потока на любом таймфрейме.
Ключевые возможности
Определение свингов - Выявляет значимые максимумы и минимумы с помощью фрактальной логики
Анализ структуры рынка - Классифицирует состояние рынка: Восходящий тренд, Нисходящий тренд или Консолидация
Break of Structure (BOS) - Обнаружение пробития ключевых уровней структуры
Change of Character (CHoCH) - Определение потенциальных разворотов тренда
Уровни митигации - Показывает потенциальные цели отката после пробоя структуры
Принцип работы
Индикатор анализирует ценовое действие через несколько уровней:
Алгоритм определения свингов
Использует настраиваемый период свинга (3-21 свечи)
Определяет валидные максимумы и минимумы, подтвержденные окружающим движением цены
Сохраняет последние 20 свингов для анализа структуры
Определение структуры
Восходящий тренд: Higher Highs (HH) + Higher Lows (HL)
Нисходящий тренд: Lower Lows (LL) + Lower Highs (LH)
Консолидация: Смешанная структура или флет
Логика Break of Structure (BOS)
Медвежий BOS: Цена закрывается ниже последнего Higher Low (HL)
Бычий BOS: Цена закрывается выше последнего Lower High (LH)
Логика Change of Character (CHoCH)
Медвежий CHoCH: После медвежьего BOS формируется Lower Low (подтверждает разворот)
Бычий CHoCH: После бычьего BOS формируется Higher High (подтверждает разворот)
Уровни митигации
Расчет потенциальных уровней отката после BOS (обычно ±0.2% от сломанной структуры)
Визуальные элементы
Фракталы: Точки свингов (опционально)
Линии структуры: Последний Higher Low (синий) и последний Lower High (фиолетовый)
Сигналы BOS: Треугольники, отмечающие пробой структуры
Сигналы CHoCH: Круги, подтверждающие изменение тренда
Уровни митигации: Пунктирные оранжевые линии для потенциальных откатов
Инфо-метка: Статус структуры и ключевые уровни в реальном времени
Оповещения
Индикатор предоставляет алерты для:
Событий Break of Structure (BOS)
Подтверждений Change of Character (CHoCH)
Настройки
Период свинга: Чувствительность определения свингов (по умолчанию: 3)
Показывать фракталы: Включение/выключение маркеров свингов
Показывать линии структуры: Отображение ключевых уровней структуры
Показывать Break of Structure: Отображение сигналов BOS
Показывать Change of Character: Отображение сигналов CHoCH
Показывать уровни митигации: Отображение уровней отката
Рекомендации по использованию
Используйте на старших таймфреймах (1H+) для более надежных сигналов
Комбинируйте с анализом объема для подтверждения
Ждите подтверждения CHoCH перед входом в сделку
Используйте уровни митигации как потенциальные зоны входа
Технические особенности
Максимальное количество меток: 500
Работает на любых таймфреймах
Не перерисовывает прошлые сигналы
Эффективно использует ресурсы благодаря ограничению хранения свингов
Индикатор предназначен для трейдеров, работающих с Price Action и концепциями Smart Money, и помогает систематизировать анализ рыночной структуры в соответствии с подходами институциональных трейдеров.
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes.
Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode:
Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes.
Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100).
Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves.
Key Features:
Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture".
Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average.
Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading.
How to Use:
Select your preferred Trading Mode in the settings.
Enable HTF Background to visualize the dominant trend from a higher timeframe.
Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Institutional Top-Bottom by Herman Sangivera (Papua)Institutional Top-Bottom + Volume Profile by Herman Sangivera ( Papua )
📈 Component Description
Orange Line (POC - Point of Control): This represents the "Fair Value." Institutions view prices far above this line as "Expensive" (Premium) and prices below as "Cheap" (Discount).
Green/Red Boxes (Order Blocks): These are footprints left by big banks. A Green Box is a demand zone where institutional buying occurred, and a Red Box is a supply zone where institutional selling happened.
Institutional Labels: These appear when the RSI Divergence confirms that price momentum is fading, signaling a high-probability reversal (Top or Bottom).
🚀 Trading Strategy Guide
1. The High-Probability Buy Setup (Bottom)
Look for a "Confluence" of these three factors:
Location: Price is trading below the Orange POC line (Discount zone).
The Zone: Price enters or touches a Green Order Block.
The Signal: The "INSTITUTIONAL BUY" label appears.
Entry: Enter Buy at the close of the candle with the label.
Stop Loss: Place it just below the Green Order Block.
Take Profit: Target the Orange POC line or the nearest Red Order Block.
2. The High-Probability Sell Setup (Top)
Look for a "Confluence" of these three factors:
Location: Price is trading above the Orange POC line (Premium zone).
The Zone: Price enters or touches a Red Order Block.
The Signal: The "INSTITUTIONAL SELL" label appears.
Entry: Enter Sell at the close of the candle with the label.
Stop Loss: Place it just above the Red Order Block.
Take Profit: Target the Orange POC line or the nearest Green Order Block.
💡 Pro Tips for Accuracy
Timeframes: For the best results, use 15m for Scalping, and 1H or 4H for Day/Swing Trading.
Wait for the Candle Close: Labels are based on Pivot points. Always wait for the current candle to close to ensure the signal is locked and won't "repaint."
Avoid Flat Markets: This indicator works best when there is volatility. Avoid using it during "choppy" or sideways markets with very low volume.
BTC vs US500: Normalized Trend DivergenceOverview:
In the financial landscape of 2026, the correlation between Bitcoin and traditional equity markets has reached institutional maturity. This indicator provides a sophisticated way to visualize this relationship by normalizing the US500 index directly onto the Bitcoin price scale.
This script is designed specifically for trading Bitcoin. We focus on anomalies where BTC either aligns with or diverges from the global market trend.
Key Features:
Target Asset: BTCUSD
Recommended Timeframe: 1D for reliable macro trend analysis.
Normalized US500 MA (Neon Blue): The primary signal line showing the 50-period trend of the S&P 500 adapted to BTC’s price.
Live Correlation Dashboard: Real-time data showing Market Status (Strong Risk-On, BTC Strength, etc.).
Crossover Signals: Visual alerts (triangles) when Bitcoin’s price breaks above or below the normalized US500 trend.
How to use:
Strong Risk-On: Price is above both MAs. Global markets and BTC are in sync.
BTC Strength (Divergence): BTC is above the US500 MA but US500 itself is lagging. This often signals institutional accumulation of BTC.
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence.
The EMAs used are EMA 9, EMA 12 and EMA 20.
When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal.
The way to use it is to apply it onto the Pine Screener.
You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan.
If Condition is True, the candlesticks would have a green arrow below and the background is highlighted.
The script is published, feel free to amend it as you like
Have a Nice Day, and Trade Safe !
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
UFX PRO How it works
The indicator plots a single line on the chart that changes position and color depending on the trend:
🟢 Uptrend:
The SuperTrend line is below the price → bullish bias
🔴 Downtrend:
The SuperTrend line is above the price → bearish bias
When the price crosses the SuperTrend line, it often signals a potential trend reversal.
✅ Advantages
✔ Easy to read
✔ Works well in trending markets
✔ Adaptive to volatility
✔ Useful for stops and trend confirmation
True FVGsThis script highlights 3-candle Fair Value Gaps (FVGs) on your chart, showing areas where price moved quickly and left potential gaps in market structure. Bullish FVGs are shown with green boxes and suggest possible support, while bearish FVGs are shown with red boxes and suggest possible resistance. It also includes doji candles—very small-bodied candles that indicate indecision—so these patterns are not missed. The script displays the most recent 5 FVGs, making it easy to spot recent potential areas where price may react.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
Adaptive Trend Flow (ATF)Adaptive Trend Flow (ATF) is a custom trend-following indicator designed to work reliably across all markets and all timeframes.
It uses an adaptive moving average that automatically adjusts to market conditions, combined with trend slope analysis and a volatility filter to reduce noise during ranging periods.
Unlike traditional fixed moving averages, ATF reacts faster during strong trends and slows down during consolidation, helping traders stay aligned with meaningful price movements.
🔍 How It Works
Uses an adaptive smoothing algorithm to track price efficiently
Confirms trend direction using trend slope
Filters out low-volatility and choppy conditions using ATR-based logic
Does not repaint — signals are based only on confirmed data
📊 Visual Interpretation
🟢 Green line / background → Bullish trend
🔴 Red line / background → Bearish trend
⚪ Gray → No clear trend (range / low volatility)
⚙️ Features
Works on Crypto, Forex, Stocks, Futures
Compatible with all timeframes
Optional trend-change signals
Optional background highlighting
Fully customizable inputs
Alert-ready
🎯 Best Use Cases
Trend filter for entries and exits
Directional bias for scalping, day trading, or swing trading
Strategy backbone when combined with price action or momentum tools
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
SIDDAMRAJU2Open the indicator Settings (Click the Gear icon).
Look for the "Target Line Settings" group.
You can now pick any Color you want, change the Style to Solid/Dotted/Dashed, and make the line Thicker or Thinner.
Would you like me to...
Add "Risk to Reward" (RR) Ratio to the table? Since we know the Stop Loss distance and the Target distance, I can calculate the exact Ratio (e.g., "1:2.5") and display it in the dashboard so you know if the trade is worth taking.
