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SNP420/INDI/support_resist_future_levelFunctionality – short description The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines). Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal). Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes. autor: SNP_420 project: FNXS ps: Piece a love
อินดิเคเตอร์ Pine Script®
โดย SNP_420
NQBA RSI This indicator is designed for educational purposes only, providing an enhanced visualization of the Relative Strength Index (RSI) along with additional tools that help in understanding momentum behavior and price characteristics. Key features include: 🔹 1. Enhanced RSI Visualization Customizable RSI length with an optional neutral zone (40–60). Dynamic gradient shading for overbought and oversold areas. Optional RSI-based moving averages and Bollinger Bands for volatility interpretation. 🔹 2. Divergence Detection Supports both regular and hidden divergence. Visual markers and optional alert notifications. 🔹 4. Dynamic RSI/MA Cloud A visual cloud representing the interaction between RSI and its moving average, helping illustrate general momentum conditions. 🔹 5. Multi-Timeframe RSI Table A compact table that displays RSI readings across several timeframes, with automatic background/text color adjustments. ⚠️ Disclaimer: This script does not guarantee performance or profitability. It is not financial advice and should be used alongside other analysis tools. هذا المؤشر مخصص لأغراض تعليمية فقط، ويهدف إلى تقديم قراءة متقدمة لمؤشر القوة النسبية (RSI) مع دمج أدوات إضافية تساعد على تحسين تحليل الزخم والسلوك السعري. يقدّم المؤشر مجموعة من المزايا، منها: 🔹 1. قراءة RSI متطورة حساب RSI بطول مخصص وإضافة منطقة حياد اختيارية بين 40 و60. تظليل ديناميكي لمناطق التشبّع الشرائي والبيعي. إمكانية إضافة متوسطات متحركة وبولينجر باند على RSI لقياس التذبذب. 🔹 2. كشف الدايفرجنس دعم الدايفرجنس الكلاسيكي والمخفي. عرض إشارات بصرية وتنبيهات اختيارية. 🔹 4. سحابة ديناميكية بين RSI والمتوسط تساعد على توضيح حالة الزخم واتجاه الحركة ضمن نطاق مرئي مبسط. 🔹 5. جدول RSI متعدد الأطر الزمنية يعرض المؤشر جدولاً لقراءات RSI من عدة أطر زمنية، مع تلوين تلقائي للخلفية والنص بناء على قوة الزخم. ⚠️ ملاحظة: هذا المؤشر لا يقدم نتائج مضمونة ولا يعتبر نصيحة مالية. يجب استخدامه كأداة مساعدة ضمن تحليلات إضافية قبل اتخاذ أي قرار تداول.
อินดิเคเตอร์ Pine Script®
โดย NQBA
The Consolidator [Pattern Foresight]Overview This Consolidator script uses detection logic to chart bullish and bearish consolidation markers and to chart shaded high/low price range lines (with green shading between the bottom range line and the price for bullish trends and with red shading between the top range line and the price for bearish trends). A consolidation point is telling you: “Price has gone quiet here. Expect expansion—likely a breakout—once volume returns.” Low volatility squeezes often lead to a breakout. The Consolidator attempts to identify periods where the price is moving sideways, compressing into a tighter range, forming a base or coil, or preparing for a trend continuation or reversal. Bullish Consolidation Markers - Bullish consolidation occurs when the price is coiling but buyers are in control. These are useful to help detect bull flags, ascending triangles, tight bases before breakouts. Bearish Consolidation Markers - These are useful to help detect bear flags, descending triangles, distribution periods. Why this indicator is unique The Consolidator attempts to be a predictive pattern-recognition system, not a simple channel indicator by measuring consolidation tightness and high/low price ranges. The range lines help visualize the “coil” where price is compressing. Consolidation markers classify which side of the coil price is leaning toward: bullish pressure or bearish pressure. The script attempts to detect structural bullish patterns with breakout intelligence. Usage Consolidation Lookback - Controls how many bars are examined when determining the consolidation “box.” Think of it as: “How wide of a window do you want to search for a sideways range?” Shorter lookback (10–20): Tighter, more sensitive consolidations, faster signals, more false positives, and useful for scalping and day trading. Longer lookback (30–60): Larger, more stable consolidation zones, fewer false positives, and better for swing trading. Tolerance Percent - Defines how “flat” highs/lows must be to qualify as consolidation. This is the key part of compression detection. Lower tolerance (0.3–0.6%): Only very tight ranges qualify with fewer but higher-quality consolidation zones. Higher tolerance (0.7–1.5%): wider ranges and more consolidation signals. Small changes to tolerance drastically change the number of consolidation markers (higher = more consolidation markers). Disclaimer: This script is for informational purposes only. Nothing contained herein should be construed as financial, investment, or trading advice. The author is not a financial advisor and is not providing personalized recommendations. All trading involves risk, including the potential loss of principal. The author makes no assurances of accuracy, performance, or future results. History may not reflect future performance. You are solely responsible for your own investment decisions and agree to use this script entirely at your own risk.
อินดิเคเตอร์ Pine Script®
โดย PatternForesight
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure. Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model. Originality and usefulness Adaptive Trend Mapper (ATM) does not replicate any one indicator. It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators: They represent directional pressure on a 0–100 scale , not momentum. They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine. They can be optionally step-compressed , making the movement easier to read on fast or small charts. The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart. All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place. How the Indicator Works 1. Bull & Bear Pressure Indices: These indices measure directional imbalance: Bull Index = ADX strength weighted against inverse-RSI Bear Index = ADX strength weighted against normal RSI This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate. You can optionally smooth these using: SMA / EMA / WMA / RMA via the “Smoothing Settings” panel. 2. Squeeze & Compression Detection: A squeeze is detected when: ADX stays below a user-defined threshold Bull–Bear Index difference shrinks Average difference is falling (convergence) This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels . 3. Adaptive Trend Curve (SuperSmoother Engine) The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA. The slope color flips between bullish and bearish and is displayed using: A thin SuperSmoother curve A thicker band for visual context 4. EMA-50 Trend Context: An optional EMA-50 helps identify broad directional bias . 5. Step-Based Scaling You can quantize the Bull/Bear indices using custom step intervals. This makes the indicator easier to read on noisy intraday charts. How to Use the Indicator 1. Trend Analysis A rising Bull Index shows strengthening upward pressure A rising Bear Index shows strengthening downward pressure Wide divergence between the indices signals a strong trend 2. Compression / Squeeze Analysis Yellow background = volatility compression + pressure convergence Breakouts from this zone often precede directional expansion 3. Trendline Reading SuperSmoother line color flip = micro trend shift EMA-50 slope gives macro-trend direction Perfect for combining trend and momentum maps on the same chart 4. Visual Interpretation Cyan/teal → strong bullish pressure Purple/red/orange → various levels of bearish control Neutral/teal background → weak ADX Yellow background → squeeze zone Open-Source Notes This script uses: TradingView built-in RSI, ADX/DMI, and smoothing functions A SuperSmoother implementation based on known DSP filter coefficients All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO . The script is published open-source to comply with TradingView’s reuse policy. Disclaimer This tool is for educational and analytical purposes only. It does not generate buy or sell signals. Always use proper risk management. Happy Trading (ARJO)
อินดิเคเตอร์ Pine Script®
โดย ARJO_2019
CPA 3 PROTitle: CPA 3 PRO: Ultimate Price Action & Liquidity Suite Overview CPA 3 PRO is a comprehensive, all-in-one trading system designed primarily for Crypto markets. It combines classic Price Action concepts with advanced Liquidity Analysis, Volume profiling, and a multi-timeframe scoring system. Unlike simple signal indicators, CPA 3 PRO aggregates over 10 different technical factors to calculate a "Confidence Score" before generating a trade setup. It features a built-in Multi-Symbol Scanner that allows you to monitor the health of 5 different assets simultaneously directly from your chart dashboard. Key Features 1. Confluence Scoring System (The Engine) The indicator uses a point-based system to generate Buy/Sell signals. A signal is only confirmed if the cumulative score exceeds a specific threshold based on your chosen Risk Level. Factors analyzed: Breakouts, EMA Crosses, VWAP position, OBV Trends, MACD Momentum, RSI levels, and Multi-Timeframe trends (4H/1D). Thresholds: You can set the risk to Low, Medium, or High, which adjusts the required points to trigger a signal. 2. Liquidity & Volume Analysis Bid/Ask Spread Monitor: Detects low liquidity periods where slippage might occur. Order Walls: Identifies potential large buy/sell walls based on volume anomalies relative to price movement. Manipulation Detection: Flags "Suspicious Volume" and "Wash Trading" patterns to help you avoid traps. 3. Advanced Risk Management Dynamic SL/TP: Automatically calculates Stop Loss and Take Profit levels based on ATR (Volatility) and Fibonacci levels. View Modes: Choose between ATR-based, Fibonacci-based, or an Average of both for your targets. Risk/Reward Calculation: Displays the potential R/R ratio for every setup. 4. Dashboard & Scanner A sophisticated on-screen table provides real-time data: Scanner: Checks 5 user-defined symbols (default: BTC, ETH, BNB, SOL, ADA) for buy/sell conditions simultaneously. Technical Details: Displays current Breakout status, EMA trends, and OBV direction. Risk Data: Shows entry price, calculated SL/TP levels, and current volatility status. How to Use Select Risk Level: Go to settings and choose your risk appetite (Low/Medium/High). Wait for Confluence: Look for the "STRONG BUY" (Triangle Up) or "STRONG SELL" (Triangle Down) labels. Check the Dashboard: Ensure the Liquidity section is stable (Green). Check the Time Filter (avoid low liquidity hours if you are a scalper). Verify the Signal Power score in the table. Risk Management: Use the displayed SL and TP levels to manage your position. The lines are plotted automatically when a signal is active. Settings Volume Multiplier: Adjust sensitivity for volume spike detection. Risk Level: Filters signals based on the strength of the confluence. Scanner Symbols: Customize the 5 assets you want to monitor in the dashboard. TP Calculation Method: Choose between ATR, Fibonacci, or a mix.
อินดิเคเตอร์ Pine Script®
โดย innoalgos
1
BTC (4 Hours) - VPIN [VWAP]Volume Synchronized Probability of Informed Trading (VPIN), theory is based on sell and buy orders originating from informed market participants, also known as "smart money." Republishing again on Bitcoin chart on the 4 hour timeframe because it seems to work pretty remarkably, particularly because crypto liquidity is driven by a subset of large whales. ***Using a regime change indicator seems better in conjunction as it seems this indicator marks buy signal from large short covering as well Educational purpose only
อินดิเคเตอร์ Pine Script®
โดย tastytomato677
[iQ]PRO Fractals in Dealing Range and Fib Levels+⚡️ PRO Combined Fractal & Dealing Range THEORY W QUADRANTS AND FIB LEVELS: Dynamic Price Structure Analysis The PRO Combined Fractal & Dealing Range indicator is a proprietary, cutting-edge market structure analysis tool designed to give serious traders a tactical edge by merging advanced Fractal-based wave detection with a sophisticated Dynamic Dealing Range system. This professional-grade utility provides a crystal-clear, multi-layered view of key supply and demand zones, trend reversals, and structural boundaries. Key Features & Proprietary Logic This indicator is built on two harmoniously integrated engines, providing a comprehensive view that goes far beyond standard technical analysis. 📈 Adaptive Fractal Wave Engine Our custom-tuned Fractal Engine employs a unique, multi-degree detection process to identify both Base Swings and Higher Degree Swings with unparalleled precision. Proprietary Period Calculation: The engine utilizes a specialized formula based on the Golden Ratio (ϕ) to determine a refined higher-degree lookback period: Period F ​ =floor(Period Base ϕ ​ ). This adaptive logic helps filter market noise and highlight only the most significant structural turning points. Dynamic Labeling: Automatically places visual markers on the chart to define confirmed Highs and Lows, simplifying the interpretation of market structure and potential directional shifts. 🎯 Dynamic Dealing Range System This core component provides a detailed, automatically calculated framework of critical price levels, serving as a roadmap for potential entries, targets, and risk management. Strategic Quadrant Mapping: Automatically establishes a significant Dealing Range based on a customizable lookback period, then divides it into four distinct Quadrants (Q1-Q4). These zones highlight areas of Premium, Equilibrium (Q2-Q3), and Discount, guiding trading decisions relative to the overall range. Advanced Level Detection: Fibonacci Retracement: Displays key Fibonacci levels (e.g., 50%, 61.8%, 78.6%) within a user-defined range, identifying high-probability reversal and reaction areas. Liquidity & Pivots: The indicator incorporates a proprietary Liquidity Detection Algorithm using adaptive pivot sensitivity to identify significant historical support and resistance zones. Inter-Timeframe Structure: Features a non-repainting method to display Important Highs/Lows (such as Monthly, Weekly, and Daily extremes) right on your current chart, bridging the gap between timeframes. Professional Trader Utility Clarity on Price Action: Instantly see the structure of the market and which direction the momentum is flowing based on the confirmed fractal swings. Actionable Alerts: Receive timely and precise alerts when price approaches critical psychological and structural levels, including the Quadrant boundaries and the highly reactive Fibonacci 0.618 level. Information at a Glance: A clean, professional table is displayed on the chart, summarizing the calculated range boundaries (Quadrant and Fibonacci Highs/Lows) for immediate reference. The PRO Combined Fractal & Dealing Range is an indispensable tool for traders focused on market structure, institutional price action, and trading within clearly defined ranges. It is designed to minimize subjectivity and maximize clarity on your TradingView chart. NO REPAINT ;)
อินดิเคเตอร์ Pine Script®
โดย MarketMakerlQ
stock whisperersdfasow, why your line.new failed: If Pine isn’t exactly v5, TradingView treats line like it doesn’t exist and throws “undeclared identifier”. That’s what you saw. If you still want the fancy extending lines instead of plots, I can give you a version that forces Pine v5. But this one already does what you asked: Shows the levels on top of candles, not in a lower pane. Copy. Paste. Add. Done. If it still breaks, the issue is your TradingView editor, not the code.
อินดิเคเตอร์ Pine Script®
โดย Mikespinosa
4H-1H Channel Confluence Strategy EN VersionA powerful multi-timeframe trend-following system based on 4H & 1H Donchian channels. • 4H defines the main trend (green/red/yellow) • 1H confirms short-term momentum • Entries only at 4H channel support/resistance confluence • Real support/resistance levels from high-volume candles only • Clear LONG/SHORT signals on chart + info table • Fully customizable colors and parameters
อินดิเคเตอร์ Pine Script®
โดย bbugra80
Low Volatility Profiles [BigBeluga]🔵 OVERVIEW Low Volatility Profiles is a market compression and breakout-anticipation tool that identifies phases of low volatility using ADX and then builds a real-time volume profile inside the detected range. This helps traders spot accumulation/distribution zones and prepare for explosive moves when volatility expands. When volatility is low ➜ price coils ➜ volume organizes ➜ breakouts become highly actionable. This tool visualizes that process with dynamic range boxes + volume bins + PoC extension. 🔵 CONCEPTS Low-Volatility Detection — Uses ADX threshold & cross logic to define volatility contraction regimes. Range Construction — Draws a price box that expands with highs/lows during the compression phase. Micro Volume Profile — Builds a volume histogram inside the range using bins (micro volume nodes). Delta Calculation — Tracks positive vs negative volume to gauge buyer/seller pressure within range. Point of Control (PoC) — Highlights the price level with max traded volume inside the range. PoC Extension — Optionally extends PoC into future bars to show potential reaction zone after breakout. Breakout Validation — Ends the profile zone when price breaks above or below the modeled range. Noise Removal — Automatically removes invalid or small ranges to prevent chart clutter. This tool turns consolidation into actionable structure by exposing where smart money accumulates before trending moves. 🔵 FEATURES ADX-Driven Range Detection — Identify when market transitions into low-volatility compression. Configurable ADX Threshold — Set sensitivity for contraction zones. Cross-Type Option — Detect low volatility via cross under / crossover logic. Dynamic Range Box — Expands live with price as contraction unfolds. Micro Volume Profile (Bins) — Distributes volume across bins inside range for micro POC mapping. Volume Delta Visualization — Shows imbalance inside consolidation (accumulation vs distribution). Real-Time PoC Highlight — Instantly shows most traded price inside the compression. PoC Extension Mode — Extend PoC forward to project reaction levels post-breakout. Clean Auto-Reset Logic — Removes boxes if range invalid or breakout occurs too fast. Optional Filled Boxes — Heatmap-style profile visualization inside range body. ADX Line + Threshold Plot — Visual assistance for volatility state monitoring. 🔵 HOW TO USE Identify Accumulation Zones — When price enters low-volatility ADX condition and profile builds. Watch the PoC — PoC acts as battle zone; move above/below can signal initiator strength. Breakout Strategy — Trade break above/below the range after compression. Mean Reversion Inside Range — Fade edges while price remains inside compression box. Combine With Trend Tools — Use trend confirmation (MA/EMA/Flow indicators) after breakout. Use Delta Clues — Positive delta tilt suggests accumulation; negative suggests distribution. Monitor Range Size — Longer build + high PoC volume = stronger potential breakout energy. 🔵 CONCLUSION Low Volatility Profiles isolates accumulation phases and maps volume concentration before volatility expansion. By combining ADX compression, micro volume distribution, and PoC tracing, traders gain an edge in anticipating powerful breakout cycles and institutional positioning. Trade the quiet moment before the storm — where smart money prepares the move, and the real opportunity emerges.
อินดิเคเตอร์ Pine Script®
โดย BigBeluga
8
DeepClean Linear indicator 1. Indicator Name DeepClean Linear indicator 2. One-Line Introduction A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form. 3. Overall Summary The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window. Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise. This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time. A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal. Color automatically shifts based on trend: Bright cyan/teal during bullish conditions Reddish tones during bearish conditions Transparency dynamically adjusts depending on strength The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading. It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies. 4. Advantages ① Ultra-Clean Noise-Reduced Wave Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement. ② Trend Direction & Strength at a Glance Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible. ③ Intuitive Price Overlay Visualization The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points. ④ Dynamic Transparency Coloring Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless. ⑤ Excellent Range Filtering During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries. ⑥ Multi-Timeframe Compatibility The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes. 📌 Core Concept Overview The indicator evaluates the relative comparison of linear regression values over the last n periods. A positive trend value indicates bullish bias A negative trend value indicates bearish bias Intensity represents strength and controls wave height waveTop / waveBot define the visual wave area relative to price State Values 1 = Bullish Trend -1 = Bearish Trend 0 = Neutral / Weak Direction ⚙️ Settings Overview Option Description Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus. Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative. Source Price source for regression calculations. Linear Reg Length Length of the linear regression. Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave. Wave Amplitude (amp) Adjusts the height/thickness of the wave. Bull/Bear Color Colors for bullish/bearish waves. Base Transparency Base opacity level; modified dynamically by trend strength. 📈 Bullish Timing Recognition Examples Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure. waveTop expands above price, signaling early trend expansion. State flips to 1, often marking a trend restart or early reversal phase. A steadily rising wave height suggests sustained bullish momentum. 📉 Bearish Timing Recognition Examples Wave shifts into red tones, showing bearish dominance. waveBot expands below price, indicating rising downside volatility. State stays at -1 while intensity increases, signaling entry into strong downtrend conditions. A shift from weak → strong bearish intensity can provide short-entry timing cues. 🧪 Recommended Usage Use as a core component in trend-following systems Adjust position size based on wave thickness (trend strength) Combine with RSI/MACD to reduce false signals during overbought/oversold zones Sudden wave expansion during volatility increases helps detect trend acceleration In sideways markets, frequent state = 0 readings help avoid low-probability trades 🔒 Important Notes As a trend-based indicator, it may misread choppy/ranging markets Because of smoothing, signals may appear slightly delayed Extreme news volatility can temporarily distort trend clarity
อินดิเคเตอร์ Pine Script®
โดย c9indicator
Sideways & Breakout Detector + Forecast//@version=6 indicator("Sideways & Breakout Detector + Forecast", overlay=true, max_labels_count=500) // Inputs lengthATR = input.int(20, "ATR Länge") lengthMA = input.int(50, "Trend MA Länge") sqFactor = input.float(1.2, "Seitwärtsfaktor") brkFactor = input.float(1.5, "Breakoutfaktor") // ATR / Volatilität atr = ta.atr(lengthATR) atrSMA = ta.sma(atr, lengthATR) // Basislinie / Trend basis = ta.sma(close, lengthATR) trendMA = ta.sma(close, lengthMA) // Seitwärtsbedingung isSideways = atr < atrSMA * sqFactor // Breakouts upperBreak = close > basis + atr * brkFactor lowerBreak = close < basis - atr * brkFactor // Vorhergesagter Ausbruch (Forecast) // Wenn Seitwärtsphase + Kurs nahe obere oder untere Kanalgrenze forecastBull = isSideways and (close > basis + 0.5 * atr) forecastBear = isSideways and (close < basis - 0.5 * atr) // Farben barcolor(isSideways ? color.new(color.yellow, 40) : na) barcolor(upperBreak ? color.green : na) barcolor(lowerBreak ? color.red : na) // Breakout-Bänder plot(basis + atr * brkFactor, "Bull Break Zone", color=color.new(color.green, 60)) plot(basis - atr * brkFactor, "Bear Break Zone", color=color.new(color.red, 60)) // Labels (klein) if isSideways label.new(bar_index, close, "Seitwärts", color=color.yellow, style=label.style_label_center, size=size.tiny) if upperBreak label.new(bar_index, high, "Bull Breakout", color=color.green, style=label.style_label_up, size=size.tiny) if lowerBreak label.new(bar_index, low, "Bear Breakout", color=color.red, style=label.style_label_down, size=size.tiny) // Vorhergesagte Ausbrüche markieren plotshape(forecastBull, title="Forecast Bull", location=location.abovebar, color=color.new(color.green, 0), style=shape.triangleup, size=size.tiny) plotshape(forecastBear, title="Forecast Bear", location=location.belowbar, color=color.new(color.red, 0), style=shape.triangledown, size=size.tiny) // Alerts alertcondition(isSideways, "Seitwärtsphase", "Der Markt läuft seitwärts.") alertcondition(upperBreak, "Bull Breakout", "Ausbruch nach oben!") alertcondition(lowerBreak, "Bear Breakout", "Ausbruch nach unten!") alertcondition(forecastBull, "Forecast Bull", "Voraussichtlicher Bull-Ausbruch!") alertcondition(forecastBear, "Forecast Bear", "Voraussichtlicher Bear-Ausbruch!")
อินดิเคเตอร์ Pine Script®
โดย dirken81
i don want to tell you how to use "Regarding the specific inquiry into the precise manner and method by which one might go about employing the features present herein, I have decided, after much deliberation and careful consideration of all variable factors, to abstain from delivering a prescriptive lecture, thereby allowing the operational paradigm to remain an open-ended question for you to resolve."
อินดิเคเตอร์ Pine Script®
โดย qrs127788
Sniper Entry 🚀🚀 {_AU_} EMA 9 + EMA 15 + VWAP BY = AU AYUSH This indicator combines EMA 9, EMA 15, and VWAP to identify trend direction and intraday strength. EMA 9 and EMA 15 show short-term momentum and crossover signals, while VWAP acts as an institutional reference point for fair value. Together, they help traders spot trend continuation, pullbacks, and high-quality entry zones during intraday sessions.
อินดิเคเตอร์ Pine Script®
โดย anuragkumar99569696
لbsm15// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org // © LuxAlgo //@version=5 indicator("لbsm15", overlay = true, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 3000) //------------------------------------------------------------------------------ //Settings //-----------------------------------------------------------------------------{ liqGrp = 'Liquidity Detection' liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp) liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp) liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp) marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp) cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp) liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp) marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp) cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp) lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp) cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp) cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp) lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp) mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp) visLiq = input.int (3, '    # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp) //-----------------------------------------------------------------------------} //General Calculations //-----------------------------------------------------------------------------{ maxSize = 50 atr = ta.atr(10) atr200 = ta.atr(200) per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true //-----------------------------------------------------------------------------} //User Defined Types //-----------------------------------------------------------------------------{ // @type used to store pivot high/low data // // @field d (array) The array where the trend direction is to be maintained // @field x (array) The array where the bar index value of pivot high/low is to be maintained // @field y (array) The array where the price value of pivot high/low is to be maintained type ZZ int d int x float y // @type bar properties with their values // // @field o (float) open price of the bar // @field h (float) high price of the bar // @field l (float) low price of the bar // @field c (float) close price of the bar // @field i (int) index of the bar type bar float o = open float h = high float l = low float c = close int i = bar_index // @type liquidity object definition // // @field bx (box) box maitaing the liquity level margin extreme levels // @field bxz (box) box maitaing the liquity zone margin extreme levels // @field bxt (box) box maitaing the labels // @field brZ (bool) mainains broken zone status // @field brL (bool) mainains broken level status // @field ln (line) maitaing the liquity level line // @field lne (line) maitaing the liquity extended level line type liq box bx box bxz box bxt bool brZ bool brL line ln line lne //-----------------------------------------------------------------------------} //Variables //-----------------------------------------------------------------------------{ var ZZ aZZ = ZZ.new( array.new (maxSize, 0), array.new (maxSize, 0), array.new (maxSize, na) ) bar b = bar.new() var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na))) var b_liq_V = array.new_box() var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na //-----------------------------------------------------------------------------} //Functions/methods //-----------------------------------------------------------------------------{ // @function maintains arrays // it prepends a `value` to the arrays and removes their oldest element at last position // @param aZZ (UDT, array, array>) The UDT obejct of arrays // @param _d (array) The array where the trend direction is maintained // @param _x (array) The array where the bar index value of pivot high/low is maintained // @param _y (array) The array where the price value of pivot high/low is maintained // // @returns none method in_out(ZZ aZZ, int _d, int _x, float _y) => aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop() // @function (build-in) sets the maximum number of bars that is available for historical reference max_bars_back(time, 1000) //-----------------------------------------------------------------------------} //Calculations //-----------------------------------------------------------------------------{ x2 := b.i - 1 ph = ta.pivothigh(liqLen, 1) pl = ta.pivotlow (liqLen, 1) if ph dir := aZZ.d.get(0) x1 := aZZ.x.get(0) y1 := aZZ.y.get(0) y2 := nz(b.h ) if dir < 1 aZZ.in_out(1, x2, y2) else if dir == 1 and ph > y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == 1 if aZZ.y.get(i) > ph + (atr / liqMar) break else if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_B.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_B.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted)) ) alert('buyside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_B.size() > visLiq getLast = b_liq_B.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() if pl dir := aZZ.d.get (0) x1 := aZZ.x.get (0) y1 := aZZ.y.get (0) y2 := nz(b.l ) if dir > -1 aZZ.in_out(-1, x2, y2) else if dir == -1 and pl < y1 aZZ.x.set(0, x2), aZZ.y.set(0, y2) if per count = 0 st_P = 0. st_B = 0 minP = 0. maxP = 10e6 for i = 0 to maxSize - 1 if aZZ.d.get(i) == -1 if aZZ.y.get(i) < pl - (atr / liqMar) break else if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar) count += 1 st_B := aZZ.x.get(i) st_P := aZZ.y.get(i) if aZZ.y.get(i) > minP minP := aZZ.y.get(i) if aZZ.y.get(i) < maxP maxP := aZZ.y.get(i) if count > 2 getB = b_liq_S.get(0) if st_B == getB.bx.get_left() getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar)) getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar)) else b_liq_S.unshift( liq.new( box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)), box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)), box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)), false, false, line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)), line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted)) ) alert('sellside liquidity level detected/updated for ' + syminfo.ticker) if b_liq_S.size() > visLiq getLast = b_liq_S.pop() getLast.bx.delete() getLast.bxz.delete() getLast.bxt.delete() getLast.ln.delete() getLast.lne.delete() for i = 0 to b_liq_B.size() - 1 x = b_liq_B.get(i) if not x.brL x.lne.set_x2(b.i) if b.h > x.bx.get_top() x.brL := true x.brZ := true alert('buyside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h)) x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1()) x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr) x.bxz.set_right(b.i + 1) x.bxz.set_top(math.max(b.h, x.bxz.get_top())) if liqBuy x.lne.set_x2(b.i + 1) else x.brZ := false for i = 0 to b_liq_S.size() - 1 x = b_liq_S.get(i) if not x.brL x.lne.set_x2(b.i) if b.l < x.bx.get_bottom() x.brL := true x.brZ := true alert('sellside liquidity level breached for ' + syminfo.ticker) x.bxz.set_lefttop(b.i - 1, x.ln.get_y1()) x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l)) x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100)) else if x.brZ if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr) x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom())) if liqSel x.lne.set_x2(b.i + 1) else x.brZ := false if lqVoid and per bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l if bull l = 13 if bull st = math.abs(b.l - b.l ) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else st = math.abs(b.l - b.h ) / l for i = 0 to l - 1 if lqText and i == 0 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) )) if bear l = 13 if bear st = math.abs(b.h - b.h) / l for i = 0 to l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else st = math.abs(b.l - b.h) / l for i = 0 to l - 1 if lqText and i == l - 1 array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) )) else array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) )) if b_liq_V.size() > 0 qt = b_liq_V.size() for bn = qt - 1 to 0 if bn < b_liq_V.size() cb = b_liq_V.get(bn) ba = math.avg(cb.get_bottom(), cb.get_top()) if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba) b_liq_V.remove(bn) else cb.set_right(b.i + 1) if b.i - cb.get_left() > 21 cb.set_text_color(color.new(color.gray, 25)) //-----------------------------------------------------------------------------}
อินดิเคเตอร์ Pine Script®
โดย bsamasaeid11