Tomie Tèo EMA 9 / 21EMA 9 / 21 Crossover momentum Signal. If retest happens after Crossover show obvious correlation with crossover => Enter
インジケーターとストラテジー
Bli-Rik (Buy and sell based on RSI & SMA)Basis analysis of Stoch RSI + RSI + 34/200 SMA Signals we have identified and generated Buy and sell indication on chart, This will help to guild buy and sell process...
價漲量增 + 力度 + 艾爾德 精簡版這是一套結合三大核心邏輯的多維強勢趨勢偵測系統：
PUVU 價漲量增：確認價格突破是否具備真實量能。
Strength 力度指標：整合 ROC、RSI 斜率、MACD 動能三項數據，轉換為 0–100 的標準化強度分數。
Elder Impulse System：以視覺化 K 棒顏色呈現趨勢動能變化。
此外，本工具加入 Trend Bias 趨勢偏向濾網、極端反手模式、精準信號三角形與可視化面板，
可用於判斷市場是否具備持續性動能、突破是否可信、反轉是否具備條件。
本指標適用於：
趨勢交易
波段突破
盤整突破偵測
高勝率強勢區辨識
多品種分析（加密貨幣、外匯、指數、股票）
此版本可用於觀察趨勢方向、尋找可能的交易機會與賣出時機。
For English users:
This script provides trend analysis, volume confirmation, strength scoring, and impulse-based visualization to assist traders in identifying potential breakouts and market conditions.
Bookmap Style Aggressor Bubbles
This indicator is designed to emulate the visual aesthetic of professional Order Flow software (such as Bookmap) directly within TradingView. It replaces the traditional candlestick view with a clean "Microstructure" Step Line and highlights significant volume events using dynamic "Aggressor Bubbles."
This tool is perfect for traders who practice Order Flow analysis, Scalping, or VSA (Volume Spread Analysis) and want to visualize the relative intensity of buyers and sellers without the noise of traditional wicks and bodies.
1. How it Works
Since TradingView Pine Script operates on OHLCV (Level 1) data, this indicator uses a heuristic model to approximate Order Flow dynamics:
Aggressor Bubbles (Volume Spikes):
The script calculates a Relative Volume (RVOL) metric by comparing the current bar's volume against a 50-period Simple Moving Average (SMA).
If the current volume exceeds a user-defined threshold (e.g., 2.0x the average), a bubble is plotted.
Size: The bubble size scales dynamically based on how massive the volume spike is (Small, Normal, Large, Huge).
Direction (Color): The aggressor side is approximated using the price action of the bar. If Close >= Open, it is treated as Buy Aggression (Green). If Close < Open, it is treated as Sell Aggression (Red).
Microstructure Price Line:
Standard candles can obscure the immediate path of price. This indicator includes a Step Line option that plots the closing price. This mimics the "Last Price" feed seen in DOM-based software, allowing you to see exactly where price held or broke.
2. Features
Smart Filtering: Filters out low-volume noise. You only see bubbles when "Whales" or significant liquidity changes occur.
Visual Customization: Fully adjustable colors for Buy/Sell bubbles and the price line.
Alert System: Includes a built-in alert that triggers whenever a significant Aggressor Bubble appears, allowing you to be notified of high-activity moments instantly.
Clean Aesthetic: Optimized for Dark Mode/Black backgrounds.
3. How to Use
Chart Setup (Important): For the best experience, hide your standard candles. Go to Chart Settings > Symbol and uncheck Body, Borders, and Wick.
Settings: Set your background to Black.
Interpretation:
Breakouts: Look for large bubbles pushing price through a key level. This indicates strong momentum.
Absorptions: Look for large bubbles appearing at the top/bottom of a range without price follow-through. This often suggests a reversal (Passive limit orders absorbing the aggressive market orders).
4. Technical Disclosure & Limitations
Please note that TradingView Pine Script provides access to OHLCV (History) data, not historical Tick-by-Tick or Level 2 (Depth of Market) data. Therefore, this indicator is a simulation. The "Aggressor" side is derived from bar direction, and the bubbles represent executed volume per bar, not individual tick clusters. It is intended for visual analysis and identifying high-volume nodes relative to recent history.
MAT's Equal Highs and Lows IndicatorEqual highs and lows indicator. This is an indicator that marks out equal highs and lows within the market, wich can be a strong draw on liquidity.
Digs Special MTF 15 min / 3 Min @ 3 min chart for stocks Buy Signal
On both 15 min and 3 min above 33 ema high
RSI above 55
+Di above -DI and +Di > 25
Sell Signal
On both 15 min and 3 Mins below 33 ema low
RSI below 45
-Di below + Di and -DI > 25
BPR [Gold Group]✨ BPR Indicator – Gold Group
The BPR (Breakout–Pullback–Reversal) Indicator by Gold Group is a premium, research-based market tool designed to help traders identify high-probability trading opportunities with precision. Built on advanced price-action logic and institutional behavior analysis, this indicator highlights key market zones where smart-money activity is most likely to occur—allowing traders to enter the market with confidence and clarity.
🔍 What the BPR Indicator Does
Detects Breakout Zones where liquidity is taken and momentum shifts begin.
Marks Pullback Levels where the market retests institutional footprints.
Identifies Reversal Points with high accuracy for powerful entries.
Filters out market noise, showing only meaningful structure changes.
Works on all timeframes and all major assets such as Gold, Forex, NAS100, US30, Crypto.
🔥 Why This Indicator Is Important
Helps traders understand institutional price movement, not retail traps.
Reduces emotional decision-making by giving crystal-clear levels.
Increases trade accuracy by aligning entries with market structure shifts.
Saves time by automatically plotting areas where smart money reacts.
🎯 Why You Should Use It
Perfect for both beginners and professionals.
Suitable for scalping, intraday, and swing trading.
Developed and tested by Gold Group Research Team with proven performance.
Allows traders to stay ahead of manipulative moves and avoid fake breakouts
Traffic Lights - BETA ZONESTraffic Lights - BETA ZONES
Overview
The Traffic Light indicator is a simple, visual tool designed to help traders gauge market bias, trend strength, and momentum at a glance. It displays three rows of colored dots (like a traffic light) in a separate pane below your chart:
• Green: Bullish signal (go/buy bias).
• Red: Bearish signal (stop/sell bias).
• Orange: Neutral or caution (mixed/uncertain conditions).
This indicator combines price action (via EMA positioning), trend direction (via RSI), and momentum expansion (via RSI + MACD histogram) to provide a layered view of the market. When all three rows align as green or red, it generates Buy or Sell labels on the main chart for potential entry signals.
It's non-repainting in its core logic (Row 2 uses delayed RSI comparison to avoid noise), making it reliable for live trading. Best used on trending markets like forex, stocks, or crypto on timeframes from 15M to Daily.
How It Works
The indicator evaluates three independent "rows" of conditions, each represented by a colored dot:
1. Row 1: Price Action Signal (EMA Touch) This row assesses the overall trend bias based on price's position relative to a slow EMA (default: 50-period).
o Green: Price is cleanly above the EMA (bullish bias).
o Red: Price is cleanly below the EMA (bearish bias).
o Orange: Price is "touching" or within a volatility buffer around the EMA (neutral/caution). The "touch zone" is defined by ATR padding, which can be toggled off for a stricter (green/red only) mode.
2. Row 2: Buyers/Sellers Trend (RSI) This row tracks the underlying trend of buyer/seller strength using RSI (default: 14-period on close). To reduce noise and repainting, it uses a delayed comparison (RSI vs. RSI ):
o Green: RSI is rising (buyers gaining strength).
o Red: RSI is falling (sellers gaining strength). No orange here—it's purely directional.
3. Row 3: Buyers/Sellers Signal (RSI + MACD Histogram) This row focuses on momentum expansion, requiring alignment across RSI zones and MACD histogram:
o Green: RSI > 50 (bull zone), MACD hist > 0 (positive), and histogram is expanding upward.
o Red: RSI < 50 (bear zone), MACD hist < 0 (negative), and histogram is expanding downward.
o Orange: Any mismatch (e.g., pullbacks, consolidations, or weak momentum). MACD defaults: Fast=12, Slow=26, Signal=9.
Signals
• Buy Signal: Triggers a "Buy" label below the bar when all three rows turn green for the first time (crossover from non-aligned).
• Sell Signal: Triggers a "Sell" label above the bar when all three rows turn red for the first time. These are conservative signals—use them for trend confirmation or entries in alignment with your strategy. They don't repaint once fired.
Inputs & Customization
All inputs are grouped for easy tweaking:
• Row 1: Price Action Signal
o Slow EMA Length (default: 50): Adjusts the trend baseline.
o EMA Timeframe (default: empty/current): Use a higher timeframe (e.g., "240" for 4H) for multi-timeframe analysis.
o Enable Orange 'Touch' Zone (default: true): Toggle for strict (green/red only) vs. touch mode.
o ATR Length (default: 3): Volatility period for touch padding.
o Touch Padding (ATR mult, default: 0.15): Widens the orange buffer; set to 0 for wick-touch only.
• Row 2: Buyers/Sellers Trend (RSI)
o RSI Length (default: 14): Period for RSI calculation.
o RSI Source (default: close): Change to high/low/open for different sensitivities.
• Row 3: Buyers/Sellers Signal (RSI + MACD hist)
o MACD Fast/Slow/Signal Lengths (defaults: 12/26/9): Standard MACD settings.
Usage Tips
• Trend Trading: Wait for all-green for long entries or all-red for shorts. Use in conjunction with support/resistance.
• Scalping/Intraday: Enable orange touch zone for more nuance in choppy markets; disable for cleaner signals in trends.
• Multi-Timeframe: Set Row 1 EMA to a higher TF for "big picture" bias while keeping others on current.
• Risk Management: Always combine with stop-losses (e.g., below recent lows for buys). Backtest on your asset/timeframe.
• Limitations: In ranging markets, orange dots may dominate—pair with volatility filters like ADX. Not a standalone system; use as a confirmation tool.
If you have feedback or suggestions, drop a comment below! Happy trading 🚦
Options Gamma Surface 3DOANDA:XAUUSD
Features :
📊 3D Gamma Surface
X-axis: Strike Price
Y-axis: Days to Expiry
Z-axis: Gamma Value
🏔️ Mountain Visualization
Displays the 3D surface of the Gamma value.
The Highest Gamma forms the Peak (mountain top).
Color Gradient based on Gamma height
Grid wireframe displays the structure.
🚩 Flag on Peak Gamma
A flag is planted on the point of Maximum Gamma.
Displays the Strike Price and Days to Expiry for that point.
🏷️ Strike Labels
Displays Strike Prices on the surface.
Strike Prices near ATM (At-The-Money) are colored Gold.
Other Strikes are colored Blue.
📈 Greeks Table (Right Panel)
Displays all Greeks at ATM: Price, Delta, Gamma, Vega, Theta.
Displays Parameters: IV, Days, Risk-Free Rate.
Displays the Peak Gamma point and its value.
⚙️ Customization Options
Options Parameters: Set Strike Range, IV, Days, Risk-Free Rate.
Camera: Rotate the view with Yaw/Pitch, adjust X/Y/Z Scale.
Grid/Surface: Turn On/Off Wireframe, Surface fill.
Color Palette: Select your preferred color theme.
The surface clearly shows where Gamma is highest, which is usually at ATM (At-The-Money) and with intermediate Days to Expiry. This is ideal for Options Traders who want to visualize their Gamma Exposure! 🚀
Gaussian Hidden Markov ModelA Hidden Markov Model (HMM) is a statistical model that assumes an underlying process is a Markov process with unobservable (hidden) states. In the context of financial data analysis, a HMM can be particularly useful because it allows for the modeling of time series data where the state of the market at a given time depends on its state in the previous time period, but these states are not directly observable from the market data. When we say that a state is "unobservable" or "hidden," we mean that the true state of the process generating the observations at any time is not directly visible or measurable. Instead, what is observed is a set of data points that are influenced by these hidden states.
The HMM uses a set of observed data to infer the sequence of hidden states of the model (in our case a model with 3 states and Gaussian emissions). It comprises three main components: the initial probabilities, the state transition probabilities, and the emission probabilities. The initial probabilities describe the likelihood of starting in a particular state. The state transition probabilities describe the likelihood of moving from one state to another, while the emission probabilities (in our case emitted from Gaussian probability density functions, in the image red yellow and green Laplace probability densitty functions) describe the likelihood of the observed data given a particular state.
MODEL FIT
Posterior
By default, the indicator displays the posterior distribution as fitted by training a 3-state Gaussian HMM. The posterior refers to the probability distribution of the hidden states given the observed data. In the case of your Gaussian HMM with three states, the posterior represents the probabilities that the model assigns to each of these three states at each time point, after observing the data. The term "posterior" comes from Bayes' theorem, where it represents the updated belief about the model's states after considering the evidence (the observed data).
In the indicator, the posterior is visualized as the probability of the stock market being in a particular volatility state (high vol, medium vol, low vol) at any given time in the time series. Each day, the probabilities of the three states sum to 1, with the plot showing color-coded bands to reflect these state probabilities over time. It is important to note that the posterior distribution of the model fit tells you about the performance of the model on past data. The model calculates the probabilities of observations for all states by taking into account the relationship between observations and their past and future counterparts in the dataset. This is achieved using the forward-backward algorithm, which enables us to train the HMM.
Conditional Mean
The conditional mean is the expected value of the observed data given the current state of the model. For a Gaussian HMM, this would be the mean of the Gaussian distribution associated with the current state. It’s "conditional" because it depends on the probabilities of the different states the model is in at a given time. This connects back to the posterior probability, which assigns a probability to the model being in a particular state at a given time.
Conditional Standard Deviation Bands
The conditional standard deviation is a measure of the variability of the observed data given the current state of the model. In a Gaussian HMM, each state has its own emission probability, defined by a Gaussian distribution with a specific mean and standard deviation. The standard deviation represents how spread out the data is around the mean for each state. These bands directly relate to the emission probabilities of the HMM, as they describe the likelihood of the observed values given the current state. Narrow bands suggest a lower standard deviation, indicating the model is more confident about the data's expected range when in that state, while wider bands indicate higher uncertainty and variability.
Transition Matrix
The transition matrix in a HMM is a key component that characterizes the model. It's a square matrix representing the probabilities of transitioning from one hidden state to another. Each row of the transition matrix must sum up to 1 since the probabilities of moving from a given state to all possible subsequent states (including staying in the same state) must encompass all possible outcomes.
For example, we can see the following transition probabilities in our model:
Going from state X: to X (0.98), to Y (0.02), to Z (0)
Going from state Y: to X (0.03), to Y (0.96), to Z (0.01)
Going from state Z: to X (0), to Y (0.11), to Z (0.89)
MODEL TEST
When the "Test Out of Sample” option is enabled, the indicator plots models out-of-sample predictions. This is particularly useful for real-time identification of market regimes, ensuring that the model's predictive capability is rigorously tested on unseen data. The indicator displays the out of sample posterior probabilities which are calculated using the forward algorithm. Higher probability for a particular state indicate that the model is predicted a higher likelihood that the market is currently in that state. Evaluating the models performance on unseen data is crucial in understanding how well the model explains data that are not included in its training process.
Support & Resistance + VolumeThis script is an advanced technical analysis tool designed to automatically identify institutional Support and Resistance zones, while analyzing the activity (Volume) within these zones. It automatically cleans up the chart to keep only relevant information.
Key Features:
Automatic Zone Detection:
Supports (Green): Identified based on major swing lows (Pivots).
Resistances (Red): Identified based on major swing highs (Pivots).
The width of the zones automatically adapts to market volatility (based on ATR) to remain relevant regardless of the timeframe.
Smart Merging:
To avoid cluttering the chart with overlapping lines, the script detects if a new support or resistance forms within an existing zone.
If so, it does not create a new box but expands the existing zone. This allows you to visualize consolidated "liquidity zones" rather than scattered lines.
Cumulative Volume Profile:
This is the core strength of this indicator. It calculates the total volume traded inside each zone since its creation.
Every time price revisits a zone, the candle's volume is added to the total.
Display: Volume is shown as whole numbers with a $ symbol (e.g., 300 500$) for precise reading.
Interpretation: A zone with very high volume indicates a strong battle between buyers and sellers, making the zone harder to break.
Historical Management (Broken Zones):
If the price crosses and closes beyond a zone (valid breakout), the zone changes appearance immediately.
It turns Gray, stops extending to the right, and the label displays the text "Cassé" (Broken). This allows you to keep a visual trace of past key levels without disturbing current analysis.
Snip Price Action [@17.daavid indicator]All in one
SMC Indicator Snip.
CONTACT: @17.daavid
Instagram
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands
This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets.
Formulas:
Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100)
Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100)
The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open.
Features:
Real-time band calculation that updates throughout the trading session
Upper band (green) extends from the current day's open
Lower band (red) contracts from the current day's open
Inner upper band (green) at 50% of expected move
Inner lower band (red) at 50% of expected move
Middle Inner upper band (green) at 80% of expected move
Middle Inner lower band (red) at 80% of expected move
Information table displaying:
Current ES price and VIX level
Daily Open
Expected move
9 AM 12-Bar Zoneplaces a 12 bar box around the 9 am hour. The idea is to see if there is a pattern of activity around suspected institutional moves that occur in the opening hour of the new york market
Swing v 3Swing v.3 Indicator Description
Swing v.3 is an advanced swing analysis indicator with deep liquidity and volume analysis, designed to identify institutional movements and high-probability reversal points:
Key Components:
🎯 Swing Points Detection:
Intelligent detection of swing highs and lows (SH/SL)
Proper sequencing of peaks and valleys (prevents duplicates)
Identifies strong swings (★) based on high volume
Automatic support and resistance level mapping
📊 Delta Volume Analysis:
Calculates buying/selling pressure for each candle
Identifies strong swings based on Delta threshold
Filters by positive buying or negative selling pressure
Displays detailed liquidity ratios (buy/sell volumes)
⚡ Displacement Candles:
Detects powerful momentum candles with rapid price movement
Multiple conditions: large body, small wicks, high volume
ATR filter to measure strength relative to volatility
Color-codes candles by strength rating
🔍 Wave Analysis:
Tracks waves between swing points
Calculates cumulative buy/sell volume per wave
Detects bullish/bearish divergence patterns
Alerts for fake breakouts and strong accumulation
📊 Live Dashboard:
Real-time statistics for swings and liquidity
Measures price proximity to support/resistance levels
Current Delta information and active wave data
Proximity alerts for nearby key levels
⚙️ Additional Features:
Color-codes candles for strong swing points
Multiple filters for precision (Delta, volume, ATR)
Detailed tooltips for each marker
Flexible color and display settings
The indicator helps traders identify strong reversal points, institutional liquidity zones, and high-momentum candles for more accurate trading decisions.
وصف مؤشر Swing v.3
Swing v.3 هو مؤشر متقدم لتحليل نقاط التأرجح (السوينق) والزخم السعري مع تحليل عميق للسيولة وحجم التداول:
المكونات الرئيسية:
🎯 نقاط السوينق (Swing Points):
كشف نقاط التأرجح العليا والسفلى (SH/SL) بطريقة ذكية
ترتيب صحيح للقمم والقيعان (يمنع التكرار)
تحديد السوينقات القوية (★) بناءً على حجم التداول العالي
رسم مستويات الدعم والمقاومة تلقائياً
📊 تحليل Delta Volume:
حساب ضغط الشراء/البيع لكل شمعة
تحديد السوينقات القوية بناءً على Delta
فلترة حسب ضغط الشراء الإيجابي أو البيع السلبي
عرض نسب السيولة التفصيلية (شراء/بيع)
⚡ شموع Displacement (الإزاحة السريعة):
كشف الشموع القوية ذات الحركة السريعة
شروط متعددة: جسم كبير، ذيول صغيرة، حجم تداول عالي
فلتر ATR لقياس القوة نسبة للتقلبات
تلوين الشموع حسب قوتها
🔍 تحليل الموجات (Wave Analysis):
تتبع الموجات بين السوينقات
حساب إجمالي حجم الشراء/البيع لكل موجة
كشف التباين الإيجابي/السلبي (Divergence)
تنبيهات الاختراق الوهمي والتجميع القوي
📊 لوحة المعلومات (Dashboard):
عرض إحصائيات حية للسوينقات والسيولة
قياس قرب السعر من مستويات الدعم/المقاومة
معلومات Delta الحالية والموجة النشطة
تنبيهات للمستويات القريبة
⚙️ المميزات الإضافية:
تلوين الشموع للسوينقات القوية
فلاتر متعددة للدقة (Delta، حجم التداول، ATR)
معلومات تفصيلية في Tooltips لكل علامة
إعدادات مرنة للألوان والعرض
US Session jdjpjdnIf something looks wrong
If the box appears shifted: check the time mode (New York vs. UTC).
If boxes do not show: confirm the session hours really overlap your visible chart time and that the “show box” checkbox is enabled.
The idea is simple:
Smart Money ProSmart Money Pro V 8.1 is an advanced trading indicator that tracks institutional "smart money" movements using multiple Smart Money Concepts (SMC) techniques:
Market Structure: Identifies Change of Character (CHoCH), Break of Structure (BOS), and Internal/External Market Structure (IDM)
Order Blocks: Detects demand/supply zones including EXT OB, IDM OB, SCOB, and mitigation/breaker blocks
Order Flow: Tracks major and minor order flows with mitigation levels
Fair Value Gaps (FVG): Highlights price inefficiencies and imbalance zones
Liquidity Levels: Maps liquidity sweeps and key pivot levels
Price Structure: Shows OTE (Optimal Trade Entry) zones, PDH/PDL (Previous Day High/Low), equilibrium levels, and swing sweeps
Candle Patterns: Detects Inside and Outside bars
The indicator helps traders identify institutional entry/exit points, liquidity grabs, and high-probability trading zones.
Smart Money Pro V 8.1 هو مؤشر متقدم لتتبع تحركات المؤسسات المالية "الأموال الذكية" باستخدام مفاهيم Smart Money Concepts (SMC):
هيكل السوق: يحدد تغيير الاتجاه (CHoCH)، كسر الهيكل (BOS)، والهيكل الداخلي/الخارجي (IDM)
مناطق الطلب والعرض: يكتشف Order Blocks بأنواعها (EXT OB, IDM OB, SCOB) ومناطق الاختراق والتخفيف
تدفق الأوامر: يتتبع التدفقات الرئيسية والثانوية مع مستويات التخفيف
فجوات القيمة العادلة (FVG): يبرز مناطق عدم الكفاءة السعرية وعدم التوازن
مستويات السيولة: يرسم مصائد السيولة والنقاط المحورية الرئيسية
هيكل السعر: يعرض مناطق OTE (نقاط الدخول المثلى)، أعلى/أدنى سعر سابق (PDH/PDL)، مستويات التوازن، وكسر القمم/القيعان
أنماط الشموع: يكتشف شموع Inside و Outside Bar
CRT MTF + HTF Candles - Milana TradesCRT MTF + HTF Candles is an educational tool that helps you visualize higher-timeframe CRT and HTF candles on your intraday chart
The script automatically tracks key HTF levels and shows three types of CRT events:
1. Pending CRT
When a higher-timeframe candle breaks the previous high or low, the indicator marks this as a “pending” CRT.
This helps you see potential liquidity grabs and where price is currently trapped inside the HTF range
2. Completed CRT
A CRT becomes “completed” when price reaches the opposite side of the previously broken level
3. Invalid CRT
If price closes outside the HTF range before completion, the CRT is marked as invalid.
This helps you identify failed breaks and possible reversals.
Multi-Timeframe HTF Candles
The script draws clean higher-timeframe candles directly on your lower timeframe chart.
Each candle includes:
Body and wicks
HTF open & close
Swing high/low markers
Timeframe labels
Optional timers (showing time remaining in the candle)
Optional imbalances (FVG / volume imbalance)
Optional Midpont line (0.5)
HTF candle spacing
You can adjust candle width, spacing, and alignment so HTF candles fit nicely over lower-TF bars.
Gaps & Imbalances
The tool can highlight:
Fair value gaps
Volume imbalance
Swing Sweep line
When price tried update swing but closed inside the candle cange
Equlibrium line (Midpoint 0.5)
Timeframe tags & timers
Shows clear labels for each HTF candle
You can choose which timeframes to show (1H, 2H, 4H, Daily, etc.) and how many candles should be displayed
Trade smart, stay disciplined, and keep improving every day
Enjoy :)
TRharmonic Ultimate
TRharmonic Ultimate - Professional Harmonic Pattern Detection System
Technical Overview
TRharmonic Ultimate is a real-time harmonic pattern recognition system built on Pine Script v5. The system analyzes 25+ harmonic formations across multiple ZigZag depths simultaneously, providing traders with instant pattern detection and pre-calculated trading levels.
Core Features
The indicator uses a zero-lag ZigZag algorithm with right offset set to 0, eliminating the typical 1-5 bar delay found in standard pivot-based systems.
Pattern detection operates across 10 simultaneous ZigZag depth calculations ranging from 15 to 150 bars, ensuring coverage of both short-term and long-term formations.
Each detected pattern includes automatically calculated entry price, stop loss, and three take-profit levels based on standard Fibonacci retracement principles.
The system validates patterns using adjustable tolerance bands between 7% and 10%, allowing traders to balance between detection sensitivity and accuracy.
MACD confirmation can be optionally enabled to filter signals, reducing false positives by requiring momentum alignment with pattern direction.
Dragon pattern detection uses proprietary ratio validation specifically designed for this rare formation's unique Fibonacci relationships.
Wolfe Wave recognition includes full 6-point structure analysis with automatic EPA (Estimated Price Arrival) line projection.
The algorithm performs geometric validation beyond simple ratio checking, including trendline mathematics and positional requirements.
Pattern drawings automatically adapt to chart theme (dark/light mode) with customizable color schemes for all 25+ formations.
A built-in deduplication system prevents multiple alerts for the same pattern within a specified bar range.
Technical Advantages
The ZigZag calculation method processes pivot points in real-time without requiring bar closure confirmation.
Memory management is optimized to handle 500+ bars of historical data while maintaining calculation speed.
Pattern-specific algorithms account for individual formation characteristics rather than using generic detection logic.
The system can detect rare patterns like Dragon and Wolfe Wave that most commercial indicators cannot identify reliably.
All Fibonacci calculations are performed automatically, eliminating manual measurement errors common in discretionary trading.
The indicator maintains clean chart visualization by automatically removing outdated pattern drawings after a configurable time period.
Multi-layer validation processes include ratio checks, geometric positioning, and optional momentum confirmation.
Pattern labels display Fibonacci ratios directly on formations, providing transparency in detection criteria.
Elliott Wave - Wave 3 Entry EngineThis indicator is a Wave 3 entry engine built on top of an Elliott Wave–style 1-2-3 structure. It automatically finds potential Wave 3 trades, manages a simple R-multiple target/stop model, and marks outcomes directly on the chart.
What the indicator does
At a high level, the script:
Detects swing points on three “degrees”
Small (S) – fast, local swings
Medium (M) – broader swings
Large (L) – higher-timeframe context only
Looks for a 3-pivot pattern (W0 → W1 → W2)
Bullish setup: Low → High → Higher Low (L-H-L)
Bearish setup: High → Low → Lower High (H-L-H)
Checks whether that pattern is a valid Wave 1–2 structure
Using multiple rules:
Wave 2 retraces Wave 1 by a configurable fraction
Wave 1 is strong enough (percentage move + slope)
Wave 2 doesn’t overshoot Wave 0 too far
Trend direction and swing “consensus” across S/M/L degrees line up
Scores the setup (Pre-W3 Score)
The script calculates a 0–1 score based on:
How “nice” the Wave 2 retracement is vs the ideal level
How much stronger Wave 1’s slope is vs Wave 2’s pullback
How much consensus there is across the swing engine (S/M/L)
Only setups above your chosen minimum Pre-W3 score and that pass alignment checks become Wave 3 candidates.
Waits for breakout → creates a Wave 3 “entry”
For longs: price breaks above the Wave 1 high (plus an optional tick buffer)
For shorts: price breaks below the Wave 1 low (minus buffer)
When triggered, the indicator:
Stores entry price (close at breakout)
Sets a stop beyond Wave 2 (with optional extra ticks)
Calculates a target based on a fixed R multiple (e.g., 2R)
Tracks the trade until exit or timeout
For each open W3 trade, it monitors:
Target hit → marks “W3 ✅”
Stop hit → marks “W3 ❌”
Bar where both could have hit → conservative loss “W3 ?/❌”
Time-based expiry (too many bars in trade) → “W3 ⏰”
Candidates that never get a breakout within your chosen max bars from W2 can also be marked as timeout (⏰).
Visual elements on the chart
The script can plot several helpful visuals:
Swing connector lines (Small/Medium/Large)
Small = blue
Medium = purple
Large = orange
These show the detected swings at each degree
Pre-W3 labels at Wave 2 (optional)
Signals :
"Pre-W3 Long XX%" or"Pre-W3 Short XX%"
Placed at the Wave 2 pivot
Colored yellow, with the % score rounded to an integer
W3 Entry labels (optional)
"W3 Long Entry" below the bar for longs (green)
"W3 Short Entry" above the bar for shorts (red)
Outcome labels (optional)
W3 ✅ – target hit
W3 ❌ – stop hit
W3 ?/❌ – both hit on same bar, treated as loss
W3 ⏰ – candidate or trade timed out
All these can be toggled in the “Wave 3 Engine (Pre-W3 + Entries + Outcomes)” group.
Input groups & how to use them
Swing Detection (Small / Medium / Large)
These groups control how the script finds swing highs/lows using a multi-parameter pivot scan:
Left Min / Left Max / Right Min / Right Max
Define the pivot “strength” ranges (how many bars to the left/right the high/low must dominate).
Minimum swing % (post-aggregation)
Ensures that, once swings are merged and cleaned up, each swing is at least this % move from the prior opposite swing.
Loop Filters (Small/Medium/Large loop min % change)
Extra gating inside the pivot-search loop, so small noise pivots can be ignored even before final swing construction.
Practical use:
Tighten % thresholds or increase left/right bars to reduce noise.
Loosen them to get more swings and more potential W3 setups.
Wave 3 Logic
Wave 2 depth
W2 min / max retracement of W1 (fraction)
Example: 0.30–0.80 means W2 must retrace 30–80% of W1.
Ideal W2 retracement (for scoring)
Often set around 0.618 (classic fib). The closer W2 is to this, the higher the retracement part of the score.
Max W2 beyond W0 (%)
How far W2 may push past W0 (in %) before the setup is invalid. Set to 0 to disable this filter.
Wave 1 strength
Min W1 move (%)
Ensures Wave 1 itself is meaningful.
Min |W1 slope| / |W2 slope|
Wave 1 must be “steeper” than Wave 2’s correction.
Slope ratio for max score
Above this, extra slope advantage doesn’t improve the score further.
Scoring & Trend Alignment
Min Pre-W3 score (0..1)
Hard gate: anything below this won’t become a W3 candidate.
Trend alignment (S/M/L)
Options:
None – ignore swing directions, purely pattern/score based
Majority – at least 2 of S/M/L must point in the W3 direction
AllThree, S+M, S+L, M+L – stricter alignment variants
Alignment uses the latest swing direction (up or down) for each degree.
Max W3 candidates to track
Limits how many candidates + trades are stored. Old, already-closed items are pruned first; open trades are never pruned.
This is an indicator, not an order engine**:** it doesn’t place trades; it only marks hypothetical Wave 3 entries and outcomes based on your settings. Always validate on historical data and combine with your own analysis and risk management before using it in live trading.
Marumaroo's RSI + MFI (가격과 거래량의 이중 체크)매매할 때 RSI랑 MFI를 같이 보는데, 지표창 두 개 띄우기 귀찮아서 하나로 합쳤습니다.
RSI(가격)만 보면 가짜 반등에 속을 때가 많은데, MFI(거래량)랑 같이 보면 다이버전스나 휩소 걸러내기가 훨씬 수월합니다.
특징:
보기 편함: RSI는 빨강, MFI는 회색입니다.
배경색 알림: 과매수(80 이상) 구간은 빨간 배경, 과매도(20 이하) 구간은 초록 배경이 뜹니다. 한눈에 파악하기 좋습니다.
복잡한 기능 다 빼고 깔끔하게 만들었으니 필요하신 분 쓰세요.
I combined RSI and MFI into a single chart to save screen space and filter out fake signals.
Checking Money Flow (MFI) alongside Price Action (RSI) helps in spotting divergences and avoiding traps.
Features:
Clean Look: RSI is Red, MFI is Gray.
Background Colors: automatically highlights Overbought (>80) zones in Red and Oversold (<20) zones in Green.
Simple and lightweight script. Hope it helps!
Kabir – (Dist + Accu + Scoreboard)if you are going to use it with respect and care its utmost best and the only thing you need for predicting market tops and yes discretion is still needed
