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Volume Spike Detector - by TenAMTrader📌 Volume Spike Detector – by TenAMTrader This indicator is designed to help traders quickly identify unusual surges in trading volume relative to recent activity. High-volume spikes can often signal strong buying or selling pressure, potential trend reversals, or breakout setups. ⚙️ How It Works The script calculates the average trading volume over a user-defined period (default: 21 bars). It then sets a spike threshold, which is that average volume plus a percentage buffer (default: 25%). Whenever the current bar’s volume exceeds this threshold, a 💰 label is plotted below the candle. If alerts are enabled, you’ll also receive a real-time alert whenever a spike occurs. 🔧 User Settings Spike Ratio % → Adjust how much higher than average volume must be to qualify as a spike. Trading Period → Set the lookback period used to calculate the average volume. Enable Alert → Turn alerts on/off. 📊 Practical Use Cases Breakout Trading: Volume spikes often confirm breakouts from consolidation zones. Reversal Signals: A sudden surge in volume may precede a trend reversal. News & Events: Spot unusual activity during earnings, economic releases, or unexpected events. ⚠️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. Past performance is not indicative of future results. Always do your own research and consult with a licensed financial professional before making any trading decisions.
Penunjuk Pine Script®
oleh TenAM_Trader
Intelligent Trading SuiteIntelligent Trading Suite “One script to rule them all.” Overview The Intelligent Trading Suite is a professional-grade decision system built in Pine Script. It is a unified engine—not a bundle of indicators—that combines adaptive pattern recognition, historical memory, and multi-context intelligence into one framework. Using a deep historical pattern database and integrating session dynamics, market calendars, holiday effects, and economic events, it filters noise and adapts to conditions. Core emphasis: precise pattern detection with target-price projection that remains stable as new candles print (mitigates target drift) and early detection of forming geometric patterns and divergences/hidden divergences. Core Features All-Timeframe Operation: Works across every TradingView timeframe—from 1m to 1W—without performance drift. Pattern Recognition with Targets: Detects triangles, wedges, cup & handle, flags, and H&S; projects targets and stabilizes them against common drift as price evolves. Early Signal Engine: Flags forming patterns and divergences before completion and notifies when prerequisites align. Historical Pattern Intelligence: Stores and compares thousands of prior states (Hull, VWAP, RSI, MACD, SMA, CVD) to weight current conditions and calibrate confidence. Context & Regime Awareness: Adjusts for volatility regimes, liquidity sessions, day-of-week bias, holidays, and macro events. Unified Signal & Confidence: Fuses all streams into a single Overall signal with calibrated confidence levels (Weak / Neutral / Strong). Visualization & Alerts Compact Ultimate Intelligence Table showing each analytical pillar, plus the Overall signal, and an option to show them on the chart as well. Alerts on table for: new pattern detection, divergence events, volatility shifts, and trend reversals. Important Notes -Free plan runtime: TradingView Free accounts may hit platform limits. Fix: Open settings → switch Mode from Paid to Free → runs within Free limits. -Heavy computation: The script is calculation- and data-intensive; initial runs can take time. If a rare runtime error occurs, simply reload the page and continue. Attributions Hull Moving Average (Alan Hull) VWAP (Volume Weighted Average Price) RSI (Relative Strength Index, J. Welles Wilder Jr.) MACD (Moving Average Convergence Divergence, Gerald Appel) Black Flag ATR bands (Jose Azcarate) Proprietary enhancements, target-stabilization logic, and the nuclear intelligence architecture are original research for this suite. Compliance Educational and analytical use only No financial advice Ad-free; aligned with TradingView House Rules Proper attribution included Access To get access, please read the Author’s instructions on the script’s page.
Penunjuk Pine Script®
oleh FutureisinPast
2
Bollinger Bands % | QuantEdgeB📊 Introducing Bollinger Bands % (BB%) by QuantEdgeB 🛠️ Overview BB% | QuantEdgeB is a volatility-aware momentum tool that maps price within a Bollinger envelope onto a normalized scale. By letting you choose the base moving average (SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA) and even Heikin-Ashi sources, it adapts to your style while keeping readings consistent across symbols and timeframes. Clear thresholds and color-coded visuals make it easy to spot emerging strength, fading moves, and potential mean-reversions. ✨ Key Features • 🔹 Flexible Baseline Pick from 12 MA types (plus Heikin-Ashi source option) to tailor responsiveness and smoothness. • 🔹 Normalized Positioning Price is expressed as a percentage of the band range, yielding an intuitive 0–100 style read (can exceed in extreme trends). • 🔹 Actionable Thresholds Default Long 55 / Short 45 levels provide simple, objective triggers. • 🔹 Visual Clarity Color-coded candles, shaded OB/OS zones, and adaptive color themes speed up decision-making. • 🔹 Ready-to-Alert Built-in alerts for long/short transitions. 📐 How It Works 1️⃣ Band Construction A moving average (your choice) defines the midline; volatility (standard deviation) builds upper/lower bands. 2️⃣ Normalization The indicator measures where price sits between the lower and upper band, scaling that into a bounded oscillator (BB%). 3️⃣ Signal Logic • ✅ Long when BB% rises above 55 (strength toward the top of the envelope). • ❌ Short when BB% falls below 45 (weakness toward the bottom). 4️⃣ OB/OS Context Shaded regions above/below typical ranges highlight exhaustion and potential snap-backs. ⚙️ Custom Settings • Base MA Type: SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA • Source Mode: Classic price or Heikin-Ashi (close/open/high/hlc3) • Base Length: default 40 • Band Width: standard deviation-based (2× SD by default) • Long / Short Thresholds: defaults 55 / 45 • Color Mode: Alpha, MultiEdge, TradingSuite, Premium, Fundamental, Classic, Warm, Cold, Strategy • Candles & Labels: optional candle coloring and signal markers 👥 Ideal For ✅ Trend Followers — Ride strength as price compresses near the upper band. ✅ Swing/Mean-Reversion Traders — Fade extremes when BB% stretches into OB/OS zones. ✅ Multi-Timeframe Analysts — Compare band position consistently across periods. ✅ System Builders — Use BB% as a normalized feature for strategies and filters. 📌 Conclusion BB% | QuantEdgeB delivers a clean, normalized read of price versus its volatility envelope—adaptable via rich MA/source options and easy to automate with thresholds and alerts. 🔹 Key Takeaways: 1️⃣ Normalized view of price inside the volatility bands 2️⃣ Flexible baseline (12+ MA choices) and Heikin-Ashi support 3️⃣ Straightforward 55/45 triggers with clear visual context 📌 Disclaimer: Past performance is not indicative of future results. No strategy guarantees success. 📌 Strategic Advice: Always backtest, tune parameters, and align with your risk profile before live trading.
Penunjuk Pine Script®
oleh QuantEdgeB
PRC-VIDYA | QuantEdgeBIntroducing PRC-VIDYA by QuantEdgeB Overview The PRC-VIDYA(Volatility–Indexed Dynamic Average) is a sophisticated trading indicator developed for traders looking to capitalize on trend shifts with enhanced filtering mechanisms. It blends an Endpoint VIDYA filter—an adaptive, volatility-scaled moving average with percentile-based thresholds and a median-absolute-deviation buffer to craft a dynamic entry/exit envelope. Price thrusts beyond the upper or lower band generate crisp long/short signals, complete with colored fills, candle tinting, alerts and optional backtest stats ____ Key Features 🔹VIDYA(Volatility–Indexed Dynamic Average): - Adaptive Moving Average that adjusts its responsiveness based on market volatility. - Uses a dynamic smoothing constant based on standard deviations. - Allows for better trend detection compared to static moving averages. 🔹2. Percentile Rank-Based Dynamic Levels: - Identifies overbought (75th percentile) and oversold (25th percentile) zones. - Dynamically adjusts based on historical data, making it robust across different market conditions. 🔹3. Median Absolute Deviation (MAD) Filtering: - An advanced volatility filter that refines entry and exit points. - Reduces noise by filtering out weak signals, focusing only on meaningful trend shifts. - Uses two multipliers (long and short) to fine-tune sensitivity. 🔹4. Signal Generation: - 📈Long Signal: Triggered when price closes above the upper dynamic threshold. - 📉Short Signal: Triggered when price closes below the lower dynamic threshold. - Uses color-coded candles to visually indicate trend shifts. - Optional signal labels can be enabled for clear entry/exit indications. 🔹5. Customizable Visualization: - Multiple color themes to match user preferences. - Ability to overlay signals on price charts. - Alerts available for long & short crossovers. _____ How It Works 1. The script calculates VIDYA based on a user-defined period. 2. It computes the 75th and 25th percentile ranks of the moving average. 3. Median Absolute Deviation (MAD) Filtering is applied to reduce false breakouts. 4. A buy (long) or sell (short) signal is triggered when price crosses the respective filtered percentile levels. 5. Alerts and labels can be used to notify traders of new signals. _____ Behavior across Crypto Majors BTC ETH SOL Note: Past behaviour is not indicative of future results. Always conduct thorough testing and risk management before making trading decisions. _____ Best Use Cases 📌 Trend Confirmation – Use VIDYA to confirm if a trend is strengthening or weakening. 📌 Noise Reduction – MAD filtering prevents reacting to minor fluctuations, focusing on stronger trend shifts. 📌 Multi-Timeframe Scalability – Works across multiple timeframes (1H, 4H, Daily, etc.), depending on the trader’s strategy. 🧬 Default Settings • Endpoint VIDYA Mode: “Mid” (9 bar, 24 bar hist) • Percentile Length: 21 bars • Upper/Lower Percentiles: 75% / 25% • MAD Window: 21 bars • Upper/Lower MAD Multipliers: 1.8 / 0.9 • Visuals: Candle coloring on, labels off, “Strategy” palette • Backtest Table: off by default _____ 📌 Conclusion PRC-VIDYA fuses a volatility-aware adaptive average with percentile boundaries and a robust deviation buffer, yielding a self-adjusting channel that captures genuine breakouts and breakdowns. Its clear regime coloring, alerts and optional backtest table make it a turnkey solution for traders who want signals that breathe with the market. 🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Penunjuk Pine Script®
oleh QuantEdgeB
Marcius Studio® - Cross-Asset Correlator™Cross-Asset Correlator™ — a pair-trading strategy that identifies correlation breakdowns between two assets and captures profit opportunities from market inefficiencies. The strategy enters trades when the correlation drops below a set threshold and closes positions once correlation recovers. The main concept is to exploit temporary divergence between two assets by going long the stronger one and short the weaker one, aiming to profit when their correlation reverts. Important : This script illustrates asset correlation concepts for educational purposes only. It's not for live trading—requires adjustments and offers no performance guarantees. Always apply risk management. TradingView Limitation By default, TradingView’s built-in Strategy interface does not support backtesting with two different assets . To overcome this, the script is implemented as an indicator with a fully custom backtesting engine that calculates PnL, trades, and performance statistics directly on the chart. Idea Markets move in clusters : altcoins follow BTC, memecoins track Solana, L2 projects mirror Ethereum. But correlations aren’t perfect—temporary divergences create pricing inefficiencies. The logic: When an asset lags or overshoots its usual correlation, it’s a mispricing opportunity. Trade the reversion: buy undervalued divergence, sell overextended convergence. The market eventually corrects, but the inefficiency window allows profit before realignment. OKX Signal Bot Integration This script includes a built-in interface for OKX Signal Bot . It can generate structured JSON alerts (ENTER / EXIT, long / short) and directly manage trades on OKX exchange . This allows seamless automation of correlation-based strategies without manual order execution. Note : The OKX Signal Bot (for demo use only) assists with alerts & trade management but does not ensure profits. You are fully responsible for your trades—always apply risk management. Strategy Parameters Symbol 1 / Symbol 2 : trading instruments to be analyzed. SMA Period : smoothing period for price averages. Correlation Period : number of bars used to calculate correlation coefficient. Upper Correlation Threshold : level above which trades are closed. Lower Correlation Threshold : level below which new trades are opened. percentage_investment (%) : allocation per entry signal (used for OKX integration). Example Settings OKX:FARTCOINUSDT.P / OKX:PENGUUSDT.P Timeframe : 1H SMA Period : 60 Correlation Period : 25 Upper Threshold : 0.9 Lower Threshold : 0.1 percentage_investment : 10% How the Code Works Retrieves closing prices of two selected assets. Calculates correlation coefficient and moving averages. When correlation breaks below the lower threshold, the script opens a pair trade (long/short depending on SMA relation). When correlation recovers above the upper threshold, all open trades are closed. Real-time alerts are generated in JSON format for OKX bots (ENTER/EXIT signals). Built-in backtesting engine tracks PnL, trades, and statistics (7d / 30d / total). Visual labels mark entries, exits, and PnL results directly on the chart. Disclaimer Trading involves risk — always do your own research (DYOR) and seek professional financial advice. We are not responsible for any potential financial losses.
Penunjuk Pine Script®
oleh marcius-studio
Monthly Expected Move (IV + Realized)What it does Overlays 1-month expected move bands on price using both forward-looking options data and backward-looking realized movement: IV30 band — from your pasted 30-day implied vol (%) Straddle band — from your pasted ATM ~30-DTE call+put total HV band — from Historical Volatility computed on-chart ATR band — from ATR% extrapolated to ~1 trading month Use it to quickly answer: “How much could this stock move in ~1 month?” and “Is the market now pricing more/less movement than we’ve actually been getting?” Inputs (quick) Implied (forward-looking) Use IV30 (%) — paste annualized IV30 from your options platform. Use ATM 30-DTE Straddle — paste Call+Put total (per share) at the ATM strike, ~30 DTE. Realized (backward-looking) HV lookback (days) — default 21 (≈1 trading month). ATR length — default 14. Note: TradingView can’t fetch option data automatically. Paste the IV30 % or the straddle total you read from your broker (use Mark/mid prices). How it’s calculated IV band (±%) = IV30 × √(21/252) (annualized → ~1-month). Straddle band (±%) = (ATM Call + Put) / Spot to that expiry (≈30 DTE). HV band (±%) = stdev(log returns, N) × √252 × √(21/252). ATR band (±%) = (ATR(len)/Close) × √21. All bands are plotted as upper/lower envelopes around price, plus an on-chart readout of each ±% for quick scanning. How to use it (at a glance) IV/Straddle bands wider than HV/ATR → market expects bigger movement than recent actuals (possible catalyst/expansion). All bands narrow → likely a low-mover; look elsewhere if you want action. HV > IV → realized swings exceed current pricing (mean-reversion or vol bleed often follows). Pro tips For ATM straddle: pick the expiry closest to ~30 DTE, use the ATM strike (closest to spot), and add Call Mark + Put Mark (per share). If the exact ATM strike isn’t quoted, average the two neighboring strikes. The simple straddle/spot heuristic can read slightly below the IV-derived 1σ; that’s normal. Keep the chart on daily timeframe—the math assumes trading-day conventions (~252/yr, ~21/mo).
Penunjuk Pine Script®
oleh rixman14
Volume Profile Grid [Alpha Extract]A sophisticated volume distribution analysis system that transforms market activity into institutional-grade visual profiles, revealing hidden support/resistance zones and market participant behavior. Utilizing advanced price level segmentation, bullish/bearish volume separation, and dynamic range analysis, the Volume Profile Grid delivers comprehensive market structure insights with Point of Control (POC) identification, Value Area boundaries, and volume delta analysis. The system features intelligent visualization modes, real-time sentiment analysis, and flexible range selection to provide traders with clear, actionable volume-based market context. 🔶 Dynamic Range Analysis Engine Implements dual-mode range selection with visible chart analysis and fixed period lookback, automatically adjusting to current market view or analyzing specified historical periods. The system intelligently calculates optimal bar counts while maintaining performance through configurable maximum limits, ensuring responsive profile generation across all timeframes with institutional-grade precision. // Dynamic period calculation with intelligent caching get_analysis_period() => if i_use_visible_range chart_start_time = chart.left_visible_bar_time current_time = last_bar_time time_span = current_time - chart_start_time tf_seconds = timeframe.in_seconds() estimated_bars = time_span / (tf_seconds * 1000) range_bars = math.floor(estimated_bars) final_bars = math.min(range_bars, i_max_visible_bars) math.max(final_bars, 50) // Minimum threshold else math.max(i_periods, 50) 🔶 Advanced Bull/Bear Volume Separation Employs sophisticated candle classification algorithms to separate bullish and bearish volume at each price level, with weighted distribution based on bar intersection ratios. The system analyzes open/close relationships to determine volume direction, applying proportional allocation for doji patterns and ensuring accurate representation of buying versus selling pressure across the entire price spectrum. 🔶 Multi-Mode Volume Visualization Features three distinct display modes for bull/bear volume representation: Split mode creates mirrored profiles from a central axis, Side by Side mode displays sequential bull/bear segments, and Stacked mode separates volumes vertically. Each mode offers unique insights into market participant behavior with customizable width, thickness, and color parameters for optimal visual clarity. // Bull/Bear volume calculation with weighted distribution for bar_offset = 0 to actual_periods - 1 bar_high = high bar_low = low bar_volume = volume // Calculate intersection weight weight = math.min(bar_high, next_level) - math.max(bar_low, current_level) weight := weight / (bar_high - bar_low) weighted_volume = bar_volume * weight // Classify volume direction if bar_close > bar_open level_bull_volume += weighted_volume else if bar_close < bar_open level_bear_volume += weighted_volume else // Doji handling level_bull_volume += weighted_volume * 0.5 level_bear_volume += weighted_volume * 0.5 🔶 Point of Control & Value Area Detection Implements institutional-standard POC identification by locating the price level with maximum volume accumulation, providing critical support/resistance zones. The Value Area calculation uses sophisticated sorting algorithms to identify the price range containing 70% of trading volume, revealing the market's accepted value zone where institutional participants concentrate their activity. 🔶 Volume Delta Analysis System Incorporates real-time volume delta calculation with configurable dominance thresholds to identify significant bull/bear imbalances. The system visually highlights price levels where buying or selling pressure exceeds threshold percentages, providing immediate insight into directional volume flow and potential reversal zones through color-coded delta indicators. // Value Area calculation using 70% volume accumulation total_volume_sum = array.sum(total_volumes) target_volume = total_volume_sum * 0.70 // Sort volumes to find highest activity zones for i = 0 to array.size(sorted_volumes) - 2 for j = i + 1 to array.size(sorted_volumes) - 1 if array.get(sorted_volumes, j) > array.get(sorted_volumes, i) // Swap and track indices for value area boundaries // Accumulate until 70% threshold reached for i = 0 to array.size(sorted_indices) - 1 accumulated_volume += vol array.push(va_levels, array.get(volume_levels, idx)) if accumulated_volume >= target_volume break ❓How It Works 🔶 Weighted Volume Distribution Implements proportional volume allocation based on the percentage of each bar that intersects with price levels. When a bar spans multiple levels, volume is distributed proportionally based on the intersection ratio, ensuring precise representation of trading activity across the entire price spectrum without double-counting or volume loss. 🔶 Real-Time Profile Generation Profiles regenerate on each bar close when in visible range mode, automatically adapting to chart zoom and scroll actions. The system maintains optimal performance through intelligent caching mechanisms and selective line updates, ensuring smooth operation even with maximum resolution settings and extended analysis periods. 🔶 Market Sentiment Analysis Features comprehensive volume analysis table displaying total volume metrics, bullish/bearish percentages, and overall market sentiment classification. The system calculates volume dominance ratios in real-time, providing immediate insight into whether buyers or sellers control the current price structure with percentage-based sentiment thresholds. 🔶 Visual Profile Mapping Provides multi-layered visual feedback through colored volume bars, POC line highlighting, Value Area boundaries, and optional delta indicators. The system supports profile mirroring for alternative perspectives, line extension for future reference, and customizable label positioning with detailed price information at critical levels. Why Choose Volume Profile Grid The Volume Profile Grid represents the evolution of volume analysis tools, combining traditional volume profile concepts with modern visualization techniques and intelligent analysis algorithms. By integrating dynamic range selection, sophisticated bull/bear separation, and multi-mode visualization with POC/Value Area detection, it provides traders with institutional-quality market structure analysis that adapts to any trading style. The comprehensive delta analysis and sentiment monitoring system eliminates guesswork while the flexible visualization options ensure optimal clarity across all market conditions, making it an essential tool for traders seeking to understand true market dynamics through volume-based price discovery.
Penunjuk Pine Script®
oleh AlphaExtract
2
VIX > 20/25 HighlightThis indicator tracks the CBOE Volatility Index (VIX) and highlights when volatility exceeds critical thresholds. Plots the VIX with dashed reference lines at 20 and 25. Background turns orange when the VIX is above 20. Background turns bright red when the VIX is above 25. Includes alert conditions to notify you when the VIX crosses above 20 or 25. Use this tool to quickly visualize periods of elevated market stress and manage risk accordingly.
Penunjuk Pine Script®
oleh cfbagnoud
Candle Body Size AlertThis indicator monitors the body size of each candle (close minus open, ignoring wicks) and compares it to a user-defined threshold measured in ticks. If the candle body exceeds the threshold, the indicator triggers an alert condition at the close of the candle. Features: 1. Adjustable threshold in ticks (default: 4000) 2. Adjustable timeframe (or use chart timeframe) 3. Alerts only at candle close (no intrabar signals) Use Case: Designed for traders who want to be notified when unusually large candles form, helping to identify strong momentum moves or volatility spikes.
Penunjuk Pine Script®
oleh ibrahiimH
Calm before the StormCalm before the Storm - Bollinger Bands Volatility Indicator What It Does This indicator identifies and highlights periods of extremely low market volatility by analyzing Bollinger Bands distance. It uses percentile-based analysis to find the "quietest" market periods and highlights them with a gradient background, operating on the premise that low volatility periods often precede significant price movements. How It Works Volatility Measurement: Calculates the distance between Bollinger Bands upper and lower boundaries Percentile Analysis: Analyzes the lowest X% of volatility periods over a configurable lookback period (default: lowest 40% over 200 bars) Visual Highlighting: Uses gradient opacity to show volatility levels - the lower the volatility, the more opaque the background highlighting Adaptive Threshold: Automatically calculates what constitutes "low volatility" based on recent market conditions Who Should Use It Primary Users: Breakout Traders: Looking for consolidation periods that may precede significant moves Options Traders: Seeking low implied volatility periods before volatility expansion Swing Traders: Identifying accumulation/distribution phases before trend continuation or reversal Range Traders: Spotting tight trading ranges for mean reversion strategies Trading Styles: Volatility-based strategies Breakout and momentum trading Options strategies (volatility plays) Market timing approaches When to Use It Market Conditions: Consolidation Phases: When price is moving sideways with decreasing volatility Pre-Announcement Periods: Before earnings, economic data, or major events Market Transitions: During shifts between trending and ranging markets Low Volume Periods: When institutional participation is reduced Strategic Applications: Entry Timing: Wait for volatility compression before positioning for breakouts Risk Management: Reduce position sizes during highlighted periods (anticipating volatility expansion) Options Strategy: Sell premium during low volatility, buy during expansion Multi-Timeframe Analysis: Combine with higher timeframe trends for confluence Key Benefits Objective Volatility Measurement: Removes subjectivity from identifying "quiet" markets Adaptive Analysis: Automatically adjusts to current market conditions Visual Clarity: Easy-to-interpret gradient highlighting Customizable Sensitivity: Adjustable percentile thresholds for different trading styles Best Used In Combination With: Trend analysis tools Support/resistance levels Volume indicators Momentum oscillators This indicator is particularly valuable for traders who understand that periods of low volatility are often followed by periods of high volatility, allowing them to position ahead of potential significant price movements.
Penunjuk Pine Script®
oleh naikamit8
Scalper ProCreated by 77 version 0.9 (Pre-release version) Overview The Scalper Pro Algo is a specialized day trading indicator optimized for the various timeframe, tailored for both stock and cryptocurrency markets. It delivers precise buy and sell signals, highlights dynamic overbought and oversold zones, and flags potential reversal points to support active traders. At its core, the indicator blends a Kalman-filtered Super trend algorithm with VWMA (Volume-Weighted Moving Average) bands. This fusion enables trend-following and mean-reversion strategies by identifying high-probability entry and exit points. The Kalman filtering helps reduce market noise and minimize false signals, offering traders clearer, more dependable guidance for scalping and short-term trades.
Penunjuk Pine Script®
oleh rngyang777
Ultron Indicator BTCUSDT Ultron BTCUSDT Indicator (invite-only). • Clear trend & reversion signals • Next-bar execution parity and frozen TSL visuals • Run on 4hr Binance BTCUSDT chart • Risk sizing that uses your equity input Usage: Add to chart → Settings → Inputs → set “Your Current Trading Equity (USD)”. ⚠️ Software tool for educational/informational use only. Not financial advice. Past performance is not indicative of future results. You are responsible for your trades.
Penunjuk Pine Script®
oleh Ultron_Tool
1
Marcius Studio® - Trend Detector™Trend Detector™ — is an advanced trend detection indicator that combines statistical Z-Score analysis with a simplified ADF stationarity test . It is designed to help traders identify strong directional moves while filtering out noise and false signals. Unlike traditional moving average crossovers or momentum oscillators, this tool evaluates both trend direction and trend strength , giving you a clear visual overview of market conditions. Important! This indicator is intended for educational and informational purposes . It does not guarantee future performance and should be used together with proper risk management. Idea Markets spend 70–80% of the time in consolidation and only 20–30% in trending phases . The key to profitable trading is spotting when a major trend shift begins. Trend Detector™ was built exactly for this purpose — to filter noise and highlight true trend reversals. How It Works Calculates the Z-Score of price to detect extreme deviations from the mean. Applies a simplified ADF t-Statistic test to confirm trend validity. Uses an ATR-based ribbon for clean visualization of bullish/bearish phases. Generates Buy/Sell signals when trend switches are confirmed. Displays an Info Panel with real-time metrics: Z-Score, ADF t-Stat, Trend Strength (0–100), ATR % of price. Features Trend Ribbon : visually highlights bullish, bearish, or neutral phases. Confirmation Filter : avoids false flips by requiring multiple bars of validation. Strength Score : quantifies how powerful the current trend is. Signal Markers : “BUY” and “SELL” alerts appear directly on the chart. Customizable Alerts : get notified when new uptrends or downtrends are detected. Recommendations Works well on swing trading timeframes (1H, 4H, Daily). Use in combination with support/resistance zones or volume profile tools for higher accuracy. The higher the Trend Strength Score , the more reliable the trend continuation. Indicator Settings Analysis Period : number of bars for Z-Score & ADF test. ATR Length : used for ribbon visualization. Min Bars to Confirm Trend : filters false trend flips. Show/Hide options for Ribbon, Signals, and Info Panel. Example Settings Timeframe : 1H or 4H Analysis Period : 20 ATR Length : 14 Min Confirmation Bars : 2–3 Disclaimer Trading and investing involve risk — always do your own research (DYOR) and seek professional advice. We are not responsible for any financial losses.
Penunjuk Pine Script®
oleh marcius-studio
Session Volatility MonitorOverview Session Volatility Monitor is a versatile volatility indicator tailored for intraday and session-based trading. It computes the average maximum price deviation (either up or down) from the session's opening price over a user-specified number of prior days, providing insights into expected "room to move" in the current session. This helps traders gauge potential exhaustion points, set realistic targets or stops, and identify when a directional move has reached historical norms (flagged as "REACHED" with the exact price level). Displayed via a customisable table and optional horizontal target lines, it's ideal for markets like forex, crypto, futures, or stocks where session volatility matters. The indicator supports custom sessions with timezone adjustments, making it adaptable to global trading hours (e.g., London, NY, or Asia kill zones). For assets with small tick sizes (e.g., forex pairs at 0.0001), a multiplier scales values for readability (e.g., showing pips as 67.0 instead of 0.00670). Key Features Session-Based Calculations: Defines sessions via presets (e.g., "NY Kill Zone: 07:00-10:00") or custom HHMM-HHMM inputs. (please note that preset sessions are mainly for futures e.g. "Full Day18:01-17:00", but also can be useful for forex and crypto) Adjustable UTC offset (e.g., -5 for ET) to align with your asset's timezone—ensures accurate detection regardless of TradingView's UTC internal clock. Tracks the max one-sided move (high - open or open - low) per session, averaging over 1–N previous days (default: 14). Table Display: Avg Max Move: Historical average deviation, labeled with days averaged and session time. Current Move: Real-time displacement from session open (positive for up, negative for down). Room to Go Up/Down: Remaining distance to reach the average, updating live; appends "REACHED (price)" if hit during the session. Customisable: Text color, font size (tiny to huge), position (e.g., bottom_left), and value scaling via multiplier/decimal places. Target Lines: Optional horizontal lines at "Up Target" (open + avg move) and "Down Target" (open - avg move). Lines start at the session open bar and extend only through the session duration (e.g., stops at 12:00 for a 07:00-12:00 session)—no further projection post-session. Fully customisable: Toggle on/off, color, style (solid/dotted/dashed), width, label text/background. Display Adjustments for Forex/Crypto: Multiplier: Scales raw values (e.g., set to 10000 for EURUSD to show pips like 45.0 instead of 0.0045). Decimals: Controls precision (0–5 places) for table values. How to Use Add to Chart: Search for "Session Volatility Monitor" in TradingView's indicators and apply to your symbol (e.g., EURUSD for forex, NQ1! for futures, BTCUSD for crypto). Configure Settings: Select a session preset or custom range; adjust UTC offset if needed (e.g., +0 for UTC symbols like crypto). Set "Number of Previous Days to Average" (e.g., 14 for a two-week look back). For small-tick assets, set Multiplier (e.g., 100 for crypto points, 10000 for forex pips) and Decimals (e.g., 0 for whole numbers). Customise table position/size/color and target lines for visibility. Interpret Outputs: Monitor the table for "room to go"—if Room Up is low/negative, upside might be limited; "REACHED" signals a potential reversal or exhaustion. Use target lines as visual S/R levels; they auto-start at session open and halt at close. Combine with price action, volume, or other indicators for entries (e.g., buy near down target if bullish bias). Example Scenario: Forex (GBPUSD, 1-min): Set session to "London Kill Zone: 02:00-05:00" (UTC+0), multiplier=10000. Table shows pips; lines mark expected highs/lows. Limitations and Tips Historical Data Limits: Averages are capped by TradingView's bar history (e.g., ~14 days on 1-min for free plans). Upgrade for deeper look backs or use higher timeframes. Session Accuracy: Ensure UTC offset matches your chart—test with the "In Session" plot (enable in Style tab, zoom y-axis if columns are tiny). No Alerts/Signals: Purely informational; add custom alerts via TradingView for "REACHED" conditions. Performance: On very low timeframes with long sessions, lines might consume line limits (max ~50)—toggle off if needed. Tips: For crypto/forex, experiment with multiplier to match your preferred units (e.g., points vs. decimals). Hide debug plot in Style tab for clean charts. If "REACHED" doesn't trigger, verify on historical data where moves exceed averages. This tool draws from concepts like Average Daily Range but focuses on directional, session-specific volatility for precise intraday decision-making. Feedback welcome! Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Always consult a professional before trading.
Penunjuk Pine Script®
oleh mr-bal
TrendLines with ATR and MA [KoTa]The "TrendLines with ATR and MA " indicator combines trend lines, breakout signals, ATR-based trend tracking, and moving averages (MA). Input Settings and Customization: After adding the indicator, click on its name at the top of the chart and open the "Settings" tab. Main sections: Trend Lines and Breakouts (Periods 1-5): General Usage Tips: Chart Timeframe: Works on any timeframe (from 1 minute to weekly). Shorter timeframes (e.g., 5-minute) generate more signals, while longer timeframes (e.g., daily) produce fewer but more reliable signals. Compatibility: Overlay=true, meaning it is drawn directly on the candlestick chart. It can be combined with other indicators (e.g., RSI, MACD). Advantages This indicator outperforms standard trend line tools due to its automated, multi-period, and integrated features: Automated Trend Line Drawing: Instead of manual drawing, it creates trend lines based on pivot highs/lows. Different periods (3-50) enable multi-timeframe analysis, allowing you to see short- and long-term trends on the same chart. Breakout Detection and Labeling: Detects breakouts in real-time using dotted extensions. B (Buy) and S (Sell) labels (e.g., B1 for period1 up breakout) clarify signals. Historical breakouts are shown in gray for context. ATR Integration: Volatility-based trend tracking (similar to SuperTrend). Calculates channel deviation to adapt to market volatility. Arrows highlight trend reversals quickly. Moving Averages Integration: Flexible MA types (e.g., VWMA for volume-weighted analysis) for trend filtering. No Bollinger Bands option, but MAs can validate breakouts. Performance and Visuals: Limits line count with max_lines_count for memory efficiency. Colors and line widths are customizable, and old elements are automatically managed (deleted or grayed out). Precision=0 ensures clean price formatting. Flexibility: All components (trend lines, ATR, MA) can be toggled on/off, allowing for simple or complex usage. Benefits Provided This indicator speeds up trading decisions and reduces errors: Trend and Support/Resistance Detection: Pivot-based lines provide automatic support (green, lows) and resistance (red, highs) levels. Benefit: Reduces manual analysis time, saving effort in scalping or swing trading. Breakout Signals: Signals are triggered when the close price crosses over/under the extended line. Benefit: Catches potential trend starts early; ATR can filter false breakouts. B/S labels provide visual alerts, simplifying alert setup. Volatility Adaptation (ATR): Adjusts trend lines based on market fluctuations. Benefit: Wider channels in high-volatility periods (e.g., crypto) and narrower in low volatility, reducing whipsaws (false signals). Arrows clearly show trend changes, ideal for position management. MA Validation: MAs measure trend strength (e.g., EMA20 above indicates uptrend). Benefit: Filtering breakouts with MA crossovers improves accuracy. VWMA offers volume-based analysis to eliminate weak trends. General Benefits: Risk Management: Breakout levels can be used for stop-loss placement (e.g., below breakout). Profit Potential: When tested on historical data (backtesting), it can be optimized by period—shorter periods for quick entries, longer for holding. Educational Value: Visualizes fractal, pivot, and ATR concepts for new traders. Time Savings: Automation eliminates hours of chart analysis; updates in real-time. Multi-Asset Compatibility: Works for stocks, forex, and crypto; ATR shines in volatile assets. Possible Strategies This indicator supports various strategies, primarily focused on breakouts and trend following, enhanced by MA and ATR filtering. Breakout Trading Strategy: Rules: Enter long on B (Buy) label (crossover up line), short on S (Sell). For example, enter on B3 (period10), with stop-loss below the previous pivot low. Filtering: Confirm with ATR arrow up (trend=0). Ensure price is above MA1 (20). Exit: Profit target at ATR*2 or exit on reverse breakout (S). Advantage: Ideal for scalping (p1-p2) or swing trading (p4-p5). Benefit: High win rate in volatile markets. Trend Following Strategy: Rules: Hold long if ATR trend line is green (up) and MA1 > MA2. Strengthen entry with breakout B. Filtering: Use only larger period breakouts (p3-p5) with ATR in slow mode. Exit: Exit on ATR arrow down (reversal) or MA crossover. Advantage: Captures long-term trends with low drawdown. Benefit: Suitable for passive trading, especially on weekly charts. Pullback Strategy: Rules: In an uptrend (green ATR line), enter long when price pulls back to the downtrend line (green pivot low line). Filtering: No breakout, supported by MA (price above MA). Set stop using ATR deviation. Exit: New high breakout or ATR reversal. Advantage: Low-risk entries, captures trend continuations. Benefit: Effective in range-bound markets. Multi-Timeframe Combination: Rules: Match short-period (p1) breakouts with long-period (p5) trends (e.g., p5 up + p1 B = long). Filtering: ATR in medium mode, MAs in golden cross (20>50). Advantage: Reduces false signals, validates H4 breakouts with D1 trends. Benefit: Suitable for professional traders, with backtesting showing 60%+ win rates. Risk and Optimization Tips: Position Sizing: Calculate using ATR (stop-loss distance / 1% risk). Backtesting: Test in strategy mode; short periods may overtrade, while longer ones may miss opportunities.
Penunjuk Pine Script®
oleh kointakipnet
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