Cyber Mondayลดสูงสุดถึง 80%

อินดิเคเตอร์และกลยุทธ์

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 🚦
อินดิเคเตอร์ Pine Script®
โดย tncylyv
3
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! 🚀
อินดิเคเตอร์ Pine Script®
โดย Thanapongpun
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.
อินดิเคเตอร์ Pine Script®
โดย Motgench
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.
อินดิเคเตอร์ Pine Script®
โดย Bad_Lucky_13
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
อินดิเคเตอร์ Pine Script®
โดย alanjeremiebarbe
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
อินดิเคเตอร์ Pine Script®
โดย furasalsuwq
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
อินดิเคเตอร์ Pine Script®
โดย furasalsuwq
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 :)
อินดิเคเตอร์ Pine Script®
โดย MilanaArsenovna
2
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.
อินดิเคเตอร์ Pine Script®
โดย ewturk
3
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.
อินดิเคเตอร์ Pine Script®
โดย Cmo22
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!
อินดิเคเตอร์ Pine Script®
โดย xici3077
Quantum Trend MatrixThe Quantum Trend Matrix (QTM) is a comprehensive technical analysis suite designed to solve the problem of market noise by combining Statistical Volatility Structure with Momentum Trend Filtration. Many traders struggle because they trade momentum signals (like crossovers) without considering the daily structural limits of the market. This script integrates these two concepts into a single "Roadmap" to help traders align their entries with institutional price structure. 🎯 Concept & Methodology (How it Works) This script is not merely a collection of indicators; it is a logic-based system where components effectively filter one another: 1. Structural Volatility Levels (The "Map") Unlike standard Support/Resistance which is subjective, QTM calculates objective levels based on the internal logic. Methodology: The script applies specific percentage-based volatility coefficients (tailored to the asset class, e.g., Indices ,Commodities,etc) to the Price. * The Green Line (Breakout Level) : Represents the statistical upper volatility limit above which a "Bullish Expansion" is expected to occur. * The Red Line (Breakdown Level): Represents the statistical lower volatility limit Below which a "Bearish Expansion" is expected to occur. * Why this is useful: It prevents traders from chasing trends in the "chop zone" (between the lines) and highlights high-probability breakout areas. 2. The Value Zone (Trend Validation) * Methodology: This utilizes a High-Timeframe moving average ribbon logic (calculated using Daily data). * Function: It acts as a dynamic trend filter. A breakout signal (Green Line cross) is statistically significant if the Price is also supported by the Value Zone (Blue Ribbon). If the Ribbon is Orange, a bullish breakout is likely a "False Trap". 3. Momentum & Exhaustion Logic * Crossovers (Circles): Validates short-term trend shifts using smoothed exponential average crossovers. * Mean Reversion (Diamonds): Uses an integrated Oscillator Momentum logic to detect over-extended price action. A Diamond signal warns that the price has deviated too far from the mean (VWAP) and trend continuation is risky. 🛠️ Practical Application This script is designed for a top-down decision process: 1. Wait for Structure: For Trending Moves do not trade inside the Pivot (Blue) to Breakout (Green/Red) range. This is the "Noise" zone. 2. Confirm the Breakout: Wait for a candle to CLOSE outside the Green or Red volatility levels or to take Support/Resistance from Red/Green Levels respectively. 3. Check the "Value Zone": Ensure the background ribbon color matches the breakout direction (Blue for Long, Orange for Short). 4. Monitor Health: Use the bottom-right panel (displaying RSI, ADX, and DI metrics) to ensure trend strength is sufficient to sustain the move. ⚠️ Disclaimer & Risk Disclosure * Logic Disclosure: While the specific volatility coefficients and smoothing lengths are proprietary, this script relies on standard technical analysis concepts including Moving Averages, RSI, ADX, and Percentage-based levels relative to the Price. * No Guarantee: Technical analysis is probabilistic, not predictive. Past performance does not guarantee future results. * Risk Management: Always use Stop Losses. This tool is an aid for analysis, not a replacement for risk management. 🔒 Access Information This is a proprietary Invite-Only script. *(Note: Do not ask for access in the comments below. Please refer to the author's signature or profile for more information).*
อินดิเคเตอร์ Pine Script®
โดย SSY26
BankNifty Aggregate Weighted OBVDescription- This indicator calculates the aggregate On Balance Volume (OBV) of the entire Bank Nifty Index by analyzing its 12 individual constituents rather than the index futures volume. Why is this different? Standard OBV on the Bank Nifty Index usually analyzes the volume of the Index Futures or the raw index volume (which can be inaccurate or derivative-heavy). This script queries the real-time volume and price action of the 12 specific banks that make up the index (HDFC, ICICI, SBI, Axis, Kotak, etc.). How it works- Weighted Calculation:- It calculates the Net Flow (Volume * Weightage) for every single bank for the current bar. Aggregation:- It sums the Net Flow of all 12 banks to create a "Total Sector Flow." Accumulation:- It generates the OBV line based on this aggregated sector flow. Normalization:- Unlike simple summation scripts, this calculates flow per bar before accumulating, ensuring that stocks with longer trading histories do not skew the data. Features: Customizable Weights:- Users can adjust the weightage of each bank if NSE rebalances the index. Toggle Constituents:- You can turn specific banks on/off to see their impact. Signal Line:- Includes an SMA/EMA signal line to help identify volume trend reversals. Trend Coloring:- The fill color changes (Green/Red) based on the OBV's position relative to the signal line. How to use: Trend Confirmation: If Bank Nifty price is rising but this Weighted OBV is falling, it indicates a divergence and potential weakness in the move (lack of institutional participation). Breakouts: Use the Signal Line crossover to validate breakout moves.
อินดิเคเตอร์ Pine Script®
โดย biokon70
Aggregated Liquidations by ktp. GonzoAggregated Liquidations combines real-time liquidation data from multiple major futures exchanges into a single, unified view. This tool helps traders identify liquidation clusters, squeezes, and high-impact forced-exit events that often mark key reversal or continuation points. This script delivers a clean, aggregated perspective on one of the most impactful forms of market data—providing clarity during volatile, liquidation-driven moves. Supported Exchanges Binance: USDT, USDC, USD BitMEX: USDT, USD Bybit: USDT, USDC, USD Deribit: USDC, USD HTX: USDT, USD (optional, tick-volume based) OKX: USDT, USDC, USD (partially reported liquidations) Toggle each feed individually for complete control over your data sources. Features Combined Long & Short Liquidations from all enabled exchanges Configurable Currency Mode to show liquidation volume in base or quote currency Adjustable Accumulation Window in bars, minutes, hours, or days Threshold Lines to quickly spot abnormal liquidation spikes How to Use Track liquidation cascades across multiple venues Spot potential long/short squeezes before price reacts Identify exhaustion zones where forced liquidations dominate Combine with order flow, volume, or momentum tools for confirmation
อินดิเคเตอร์ Pine Script®
โดย kpt_gonzo
DTR Volume OBDTR Volume OB indicator identifies bullish and bearish order blocks and visualizes volume within each block for easy recognition of high-volume areas. It helps traders spot key supply and demand zones and anticipate market reactions. Key Features: - Detects bullish and bearish order blocks. - Divides blocks into grids, highlighting high-volume regions. - Configurable tuning period and number of grids. - Flexible mitigation methods to track order block breaks. - Customizable colors for high/low volume grids, borders, and background fill. Usage: - Identify important support and resistance zones. - Spot high-probability areas for entries and exits. - Combine with trend analysis or price action for improved strategies. Ideal for swing traders, day traders, and scalpers looking for a visual, volume-informed approach to order block trading.
อินดิเคเตอร์ Pine Script®
โดย Didogaz
Abu Basel IQOption 2m Signals//@version=5 indicator("Abu Basel IQOption 2m Signals", overlay = true, timeframe = "", timeframe_gaps = true) //======================== // الإعدادات //======================== emaFastLen = input.int(9, "EMA سريع (9)") emaSlowLen = input.int(21, "EMA بطيء (21)") rsiLen = input.int(14, "RSI Length", minval = 2) rsiBuyLevel = input.float(50.0, "RSI حد الشراء (أعلى من)", minval = 0, maxval = 100) rsiSellLevel= input.float(50.0, "RSI حد البيع (أقل من)", minval = 0, maxval = 100) bbLen = input.int(20, "Bollinger Length") bbMult = input.float(2.0, "Bollinger Deviation") showSignals = input.bool(true, "إظهار الأسهم (CALL / PUT)") showBg = input.bool(true, "تلوين الخلفية عند الإشارات") //======================== // المؤشرات الأساسية //======================== emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) basis = ta.sma(close, bbLen) dev = bbMult * ta.stdev(close, bbLen) bbUpper = basis + dev bbLower = basis - dev rsi = ta.rsi(close, rsiLen) // رسم المتوسطات والبولينجر plot(emaFast, title = "EMA 9", linewidth = 2) plot(emaSlow, title = "EMA 21", linewidth = 2) plot(basis, title = "BB Basis", linewidth = 1) plot(bbUpper, title = "BB Upper", linewidth = 1, style = plot.style_line) plot(bbLower, title = "BB Lower", linewidth = 1, style = plot.style_line) //======================== // دوال أشكال الشموع الانعكاسية //======================== bodySize = math.abs(close - open) fullRange = high - low upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low isSmallBody = bodySize <= fullRange * 0.3 // Hammer صاعدة (ذيل سفلي طويل) bullHammer() => lowerWick > bodySize * 2 and upperWick <= bodySize and close > open // Shooting Star هابطة (ذيل علوي طويل) bearShootingStar() => upperWick > bodySize * 2 and lowerWick <= bodySize and close < open // Bullish Engulfing bullEngulfing() => close > open and close < open and close > open and open < close // Bearish Engulfing bearEngulfing() => close < open and close > open and close < open and open > close // تجميع أنماط صعود/هبوط bullPattern = bullHammer() or bullEngulfing() bearPattern = bearShootingStar() or bearEngulfing() //======================== // شروط الدخول //======================== // تقاطع المتوسطات bullCross = ta.crossover(emaFast, emaSlow) // صعود bearCross = ta.crossunder(emaFast, emaSlow) // هبوط // شروط شراء CALL: // 1) تقاطع EMA9 فوق EMA21 // 2) السعر فوق خط وسط البولنجر // 3) RSI أعلى من 50 // 4) شمعة انعكاسية صاعدة (Hammer أو Engulfing) callCond = bullCross and close > basis and rsi > rsiBuyLevel and bullPattern // شروط بيع PUT: // 1) تقاطع EMA9 تحت EMA21 // 2) السعر تحت خط وسط البولنجر // 3) RSI أقل من 50 // 4) شمعة انعكاسية هابطة (Shooting Star أو Bearish Engulfing) putCond = bearCross and close < basis and rsi < rsiSellLevel and bearPattern //======================== // رسم الإشارات على الشارت //======================== plotshape(showSignals and callCond, title="CALL 2m", style=shape.labelup, location=location.belowbar, text="CALL 2m", size=size.tiny) plotshape(showSignals and putCond, title="PUT 2m", style=shape.labeldown, location=location.abovebar, text="PUT 2m", size=size.tiny) // تلوين الخلفية عند الإشارات bgcolor(showBg and callCond ? color.new(color.green, 85) : showBg and putCond ? color.new(color.red, 85) : na) //======================== // شروط التنبيه (Alerts) //======================== alertcondition(callCond, title="CALL 2m Signal", message="Abu Basel Signal: CALL 2m on {{ticker}} at {{close}}") alertcondition(putCond, title="PUT 2m Signal", message="Abu Basel Signal: PUT 2m on {{ticker}} at {{close}}")
อินดิเคเตอร์ Pine Script®
โดย abobasel5544