ATR + infoIt shows the ATR, the stop loss and stop profit levels, and the amount to invest based on capital and the risk you are willing to take.
指標和策略
HMS FVG Precision Engine⭐ HMS FVG Precision Engine — Official Description (Short & Professional)
HMS FVG Precision Engine is an advanced Fair Value Gap–based smart entry system designed for high-precision trading.
It automatically detects clean FVG zones, confirms them using multi-timeframe trend filters, and generates accurate LONG/SHORT signals with real-time alerts.
This tool is optimized for both manual and automated trading, including webhook-based bot execution.
It focuses on precision entries, multi-level trend validation, and clean chart visualization to help traders find high-probability setups without noise.
Key Features:
Smart FVG detection with precision filters
Multi-TF trend confirmation (5m–1H)
Automatic LONG & SHORT entry signals
TP1 / TP2 / TP3 and SL logic with alert support
Webhook-friendly alert format for bots
Lightweight, fast, and non-repainting
Clean, optimized visual markers
Perfect for scalping, day trading, and algorithmic entries.
Order Blocks V5 by GaryIn financial markets, Order Blocks are a powerful Price Action concept representing large-scale buying/selling by institutional investors or major capital at specific price ranges. They often signal potential reversals or trend continuations. However, standard Order Block definitions are often overly broad, generating excessive noise in real-market conditions and leading to misjudgments.
Order Blocks V5 was developed to address this pain point. It integrates complementary technical tools and flexible analysis logic to help you screen high-quality, reliable trading opportunities.
Core Features & Functions:
1. Dual Structure Detection
Swing Order Blocks: Identifies large-scale Order Blocks formed on the primary trend structure based on your custom Swing Length (e.g., 50 bars). These blocks typically indicate significant market turning points.
Internal Order Blocks: Detects smaller-scale Order Blocks within trends using a shorter Internal Structure Length (e.g., 5 bars). This helps capture short-term pullback and reversal opportunities.
2. Complementary Technical Tools for Filtering
Built-in Bollinger Bands (For Reference): The indicator displays Bollinger Bands (customizable length and standard deviation) directly on the chart. While it doesn’t include automatic Bollinger Bands filtering logic, you can use this tool to assess market volatility and overbought/oversold conditions manually. For example, prioritize Internal Order Block signals when price touches or nears the upper/lower bands—adding a discretionary filter to reduce false signals.
Moving Averages for Trend Context: Integrated with 5-period, 10-period, 20-period, 40-period, and 60-period EMAs. Use these to judge the current trend direction:
Focus on bullish Order Block signals when EMAs are in a bullish alignment (uptrend).
Focus on bearish Order Block signals when EMAs are in a bearish alignment (downtrend).
This helps you trade with the trend and filter low-quality counter-trend signals.
3. "Touch & Reversal" Signals
The indicator not only marks Order Blocks but also intelligently monitors price interactions with them. A price retest of an Order Block is inherently noteworthy.
More importantly, when price touches an Order Block and then:
Breaks above the high of the touch bar (for bullish Order Blocks), or
Breaks below the low of the touch bar (for bearish Order Blocks),
The indicator instantly generates prominent labels like B-SOB (Buy - Swing Order Block) or S-IOB (Sell - Internal Order Block) on the chart—signaling a potential reversal confirmed by market action.
4. Highly Customizable
Tailor the indicator to your trading style and instruments with adjustable parameters:
Display colors and transparency for both Order Block types.
Detection lengths for swing and internal structures.
Option to remove Order Block boxes after price breaks.
Sensitivity of Touch & Reversal signals (e.g., max signals per block, minimum bars between touches).
Toggle visibility of Bollinger Bands and individual EMAs.
How to Use Order Blocks V5 to Enhance Your Trading?
1. Identify Trend Direction: Use the built-in EMA system (e.g., 20/40/60 EMA alignment) to determine if the market is in an uptrend, downtrend, or consolidation.
2. Locate Key Zones: Focus on green (bullish) and red (bearish) Order Block boxes automatically drawn on the chart—these are potential support/resistance areas.
3. Apply Discretionary Filtering:
Use Bollinger Bands to gauge volatility: Avoid signals in narrow-range (low-volatility) markets; prioritize signals when price approaches extreme bands.
Combine with trend direction from EMAs to filter 逆势 (counter-trend) signals.
4. Wait for Confirmation:
Conservative Strategy: Enter trades only after price retests an Order Block and triggers a Touch & Reversal signal (e.g., B-... or S-... labels).
Aggressive Strategy: Monitor price when it first touches an Order Block, combining with indicators like RSI or MACD to identify potential entry points.
5. Risk Management: Place stop-loss orders outside the Order Block box to filter false breaks.
Risk Disclaimer: No indicator guarantees 100% win rate. Use this tool as part of your trading system, combine it with other analysis methods, and strictly follow risk management rules.
Download, test it out, and share your feedback in the comments!
4/8/15 E/20 EMA + Daily Pivot S/RThese are your intraday EMA's and levels/pivots you need to read the room.
EMA Scalp PRO ema cros+heikin-ashi-vol-atr EMA Scalp PRO – indicator is a visual scalping helper designed mainly for crypto pairs on lower timeframes (10–30m). It is NOT an automated trading strategy but a trend and momentum signal tool that helps the user take more disciplined entries.
Core logic:
• Core signals when EMA 9 crosses EMA 21 (bullish or bearish crossover)
• Higher–timeframe trend filter with EMA 144 and optional EMA 200
• Momentum filter with RSI
• Liquidity/volume filter using Volume SMA with a dynamic multiplier
• Directional filter using Heikin Ashi trend (bull / bear)
• Consolidation detection with ATR, EMA distance and ADX, plus a separate breakout condition
• Cooldown bars after each signal to reduce overtrading and noise
The script plots:
• Long / Short signals with labels directly on the chart
• Exit signals when EMA 9 makes a reverse crossover against EMA 21
• An information table (mode, trend, market state, ATR ratio, RSI, volume, etc.) to quickly assess current market conditions
Important:
• This indicator is strictly for educational and informational purposes.
• It does NOT provide financial or investment advice.
• The user must apply their own risk management (position sizing, SL/TP) and always test the tool on historical data or in paper trading before using it in live markets.
Tomie Tèo EMA 9 / 21EMA 9 / 21 Crossover momentum Signal. If retest happens after Crossover show obvious correlation with crossover => Enter
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
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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






















