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Multitimeframe

Changing of the GuardChanging of the Guard (COG) - Advanced Reversal Pattern Indicator 🎯 What It Does The Changing of the Guard (COG) indicator identifies high-probability reversal setups by detecting specific candlestick patterns that occur at key institutional levels. This indicator combines traditional price action analysis with volume-weighted and moving average confluence to filter out noise and focus on the most reliable trading opportunities. 🔧 Key Features Multi-Timeframe VWAP Analysis • Daily VWAP (Gray circles) - Intraday institutional reference • Weekly VWAP (Yellow circles) - Short-term institutional bias • Monthly VWAP (Orange circles) - Long-term institutional sentiment Triple EMA System • EMA 20 (Blue) - Short-term trend direction • EMA 50 (Purple) - Medium-term momentum • EMA 200 (Navy) - Long-term market structure Adaptive COG Pattern Detection • 2-Bar Mode: Quick reversal signals for scalping • 3-Bar Mode: Balanced approach for swing trading (default) • 4-Bar Mode: Conservative signals for position trading 📊 How It Works The indicator identifies "changing of the guard" moments when: 1. Pattern Formation: 2-4 consecutive bars show exhaustion in one direction 2. Reversal Confirmation: A counter-trend bar appears with strong momentum 3. Confluence Trigger: The reversal bar crosses through a significant VWAP or EMA level Bullish COG: Green triangle appears below bars when bearish exhaustion meets bullish reversal at key support Bearish COG: Red triangle appears above bars when bullish exhaustion meets bearish reversal at key resistance 💡 Trading Applications Swing Trading: Use 3-bar mode with EMA 50/200 confluence for multi-day holds Day Trading: Use 2-bar mode with Daily VWAP confluence for intraday reversals Position Trading: Use 4-bar mode with Monthly VWAP confluence for major trend changes ⚙️ Customization Options • Toggle VWAP display on/off • Toggle EMA display on/off • Toggle COG signals on/off • Select detection mode (2-bar, 3-bar, 4-bar) • Built-in alert system for automated notifications 🎨 Visual Design Clean, professional interface with: • Subtle dotted lines for VWAPs to avoid chart clutter • Color-coded EMAs for easy trend identification • Clear triangle signals that don't obstruct price action • Customizable display options for different trading styles 📈 Best Practices • Combine with volume analysis for additional confirmation • Use higher timeframe bias to filter trade direction • Consider market structure and support/resistance levels • Backtest different modes to find optimal settings for your strategy ⚠️ Risk Management This indicator identifies potential reversal points but should be used with proper risk management. Always consider: • Overall market trend and structure • Volume confirmation • Multiple timeframe analysis • Appropriate position sizing Perfect for traders who want to catch reversals at institutional levels with high-probability setups. The confluence requirement ensures you're trading with the smart money, not against it.
Pine Script®指标
由ultimateinvestments7提供
Price Acceleration Matrix [QuantAlgo]🟢 Overview The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes. 🟢 How It Works The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods. In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level. The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter. 🟢 How to Use 1. Signal Interpretation and Momentum Analysis Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution 2. Overbought/Oversold Zone Analysis Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes 🟢 Pro Tips for Trading → Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal. → Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals. → Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts. → Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity. → Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches. → Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
Pine Script®指标
由QuantAlgo提供
4
Multi Volume Weighted Average Price1. Three independent VWAP configurations (VWAP 1, 2, and 3). Each can be set up separately for periods such as: session, daily, weekly, monthly, etc. 2. Previous VWAP closing prices: Closed VWAPs from previous periods remain visible until the price touches them. At that point, they are removed. 3. Bands: Based on standard deviation or a percentage of VWAP with an adjustable multiplier. The bands can be turned on or off. 4. Source: OHLC4 is the default setting for an accurate approximation, but it is customizable (e.g. HLC3). 5. Global Setting: Select 10,000 or 20,000 historical bars to prevent runtime errors for long periods. Usage tips: 1. Use VWAP 1 for daily sessions, VWAP 2 for weekly, and VWAP 3 for Monthly analysis to receive multi-timeframe support. 2. Customize the labels to clearly distinguish them (e.g. D VWAP, W VWAP, M VWAP). 3. If you encounter errors with historical data (e.g. on the M1 chart), minimize the number of historical bars displayed to 10,000.
Pine Script®指标
由OutbackTrader25提供
TTW-Day/Session Separator🗓️ Day Separator – Highlight Markers start times and days for Your Chart This script adds automatic vertical lines to visually separate each trading day on your chart. It helps you quickly identify where each day starts and ends — especially useful for intraday and scalping strategies. ✅ Features: Distinct lines for each weekday, month, week, trading session Optional day-of-week labels (toggle on/off) Custom label position (top or bottom of the chart) Works on any timeframe Whether you're tracking market sessions or reviewing daily price action, this tool gives you a clean structure to navigate your charts with more clarity.
Pine Script®指标
由JP_Tru提供
Becak I-series: Indicator Floating Panels v.80Becak I-series: Floating Panels v.80th (Indonesia Independence Days) What it does: This indicator creates three floating overlay panels that display MACD, RSI, and Stochastic oscillators directly on your price chart. Unlike traditional separate panes, these panels hover over your chart with customizable positioning and transparency, providing a clean, space-efficient way to monitor multiple technical indicators simultaneously. When to use: When you need to monitor momentum, trend strength, and overbought/oversold conditions without cluttering your workspace Perfect for traders who want quick visual access to multiple oscillators while maintaining focus on price action Ideal for any timeframe and asset class (stocks, crypto, forex, commodities) How it works: The script calculates standard MACD (12,26,9), RSI (14), and Stochastic (14,3,3) values, then renders them as floating panels with: MACD Panel: Shows MACD line (blue), Signal line (orange), and histogram (green/red bars) RSI Panel: Displays RSI line (purple) with overbought (70) and oversold (30) reference levels Stochastic Panel: Shows %K (blue) and %D (orange) lines with optional buy/sell signals and highlighted overbought/oversold zones Customization options: Position: Choose Top, Bottom, or Auto-Center placement Size: Adjust panel height (15-35% of chart) and spacing between panels Positioning: Fine-tune vertical center offset and horizontal positioning Appearance: Toggle panel backgrounds and adjust transparency (50-95%) Parameters: Modify all indicator lengths and overbought/oversold levels Signals: Enable/disable Stochastic crossover signals Display: Control lookback period (30-100 bars) and right margin spacing Universal compatibility: Works seamlessly across all asset types with automatic range detection and scaling. DIRGAHAYU HARI KEMERDEKAAN KE 80 - INDONESIA ... MERDEKA!!!!!
Pine Script®指标
由kromut76提供
5
ZoneX MTFZoneX MTF is an advanced trading indicator built on institutional order flow and demand–supply theory. It automatically detects and highlights persistent demand and supply zones across multiple higher timeframes (D, W, M, 3M, 6M, 12M), giving traders a broader institutional perspective. With full customization options, ZoneX MTF allows users to adjust zone sensitivity, colors, and settings to fit their strategies. Its top-down analysis approach provides a clear picture of where price is coming from, current trend strength, and the most suitable action at the active timeframe. In addition, ZoneX MTF identifies precise institutional buying and selling points, offering retail traders a valuable edge by improving timing and increasing the probability of successful trades.
Pine Script®指标
由yashraaj221提供
1
ZoneXZoneX is a powerful trading indicator built on institutional order flow, demand–supply theory, and advanced trend analysis. It automatically detects and highlights demand and supply zones across any timeframe, giving traders a clear view of where institutional buying and selling may occur. With full customization options, users can adjust the zones and settings to match their strategy. ZoneX also includes a 3-EMA combination system and advanced trend analysis tools, helping traders align with market momentum. Beyond zone detection, ZoneX pinpoints potential institutional entry and exit points, offering retail traders a valuable edge by improving trade timing and increasing the probability of success.
Pine Script®指标
由yashraaj221提供
Key Levels & Session Highs/Lows by OdegosProfessional multi-timeframe support and resistance level indicator that automatically tracks and displays key price levels across different trading sessions and timeframes. 🎯 What it shows: Session Open - Daily market open reference line Asia & London Sessions - High/low levels from major trading sessions Previous Day - Yesterday's actual high and low levels Weekly & Monthly - Higher timeframe support/resistance levels ⚡ Smart Features: Auto-combines overlapping levels with merged labels Break detection - Lines stop when price breaks through (optional) Timezone support - Works with any global timezone Universal colors - Optimized for both light and dark chart themes Clean interface - Organized settings with intuitive dropdowns 🛠️ Fully Customizable: Individual show/hide toggles for each level type Custom colors, line styles, and widths Adjustable label text and positioning Global text color override option Perfect for day traders, swing traders, and anyone who relies on key support/resistance levels for market analysis.
Pine Script®指标
由jcbotha提供
4
SatoshiMultiFrame RSI SatoshiMultiFrame 📈 SatoshiMultiFrame is an advanced, multi-timeframe version of the RSI indicator, designed to look and feel like the built-in TradingView RSI — but with more customization options and professional visual enhancements. 🎯 Features Multi-Timeframe (MTF) Support – choose any timeframe for RSI calculation. Customizable RSI Line – change color, thickness, and style (Solid / Dashed / Dotted). Editable 30 / 50 / 70 Bands – fully customizable in the Style tab. Smooth Gradient Fill for OB/OS Zones: 🟢 Green shading above Overbought (70) 🔴 Red shading below Oversold (30) Customizable background for the entire panel. No repainting – stable and reliable data. ⚙️ Inputs RSI Length – default 14. Source – select the price source (Close, Open, etc.). RSI Timeframe – pick a higher or lower timeframe. RSI Line Style – choose between Solid / Dashed / Dotted. Dash Period & Dash Length – adjust the look of dashed lines. 🎨 Style Tab : Change RSI line color, thickness, and optional MA line. Edit colors and styles of 30 / 50 / 70 bands. Enable/disable and recolor OB/OS gradient fills. Adjust background color and transparency. 📌 How to Use : Add the indicator to your chart. In Inputs, set your preferred timeframe, RSI length, and line style. In Style, adjust colors, thickness, and gradient effects to your preference. Use the 50 line as a trend reference and monitor RSI behavior in OB/OS zones. ⚠️ Disclaimer: This tool is for educational purposes only and should not be considered financial advice. Always practice proper risk management.
Pine Script®指标
由SatoshiMultiframe提供
MK_OSFT - Multi-Timeframe MA Dashboard with Alerts - v1.0Multi-Timeframe Moving Average Dashboard with Advanced Alerts A comprehensive multi-timeframe moving average indicator that displays MA levels from 6 different timeframes simultaneously on your chart, complete with intelligent labeling, customizable alerts, and performance-optimized plotting. *** Key Features *** Multi-Timeframe Analysis Monitor MA levels from 6 timeframes: 5m, 15m, 1H, 4H, Daily, and Weekly Clean visual separation with customizable colors for each timeframe Smart label positioning prevents overlapping and ensures readability Intelligent Alert System Individual alert toggles for each timeframe Cross-above and cross-below MA alerts with once-per-bar frequency Alerts only trigger on confirmed timeframe closes (no false signals) Works across all trading pairs on your current chart Flexible Display Options Toggle individual timeframe visibility Choose between SMA and EMA calculations Adjustable MA length (default: 12 periods) Two source options: Current Bar or Last Confirmed Bar Customizable line widths, label sizes, and colors Advanced Plotting System Optional plot lines that don't clutter your Style tab Performance-optimized line drawing with historical data support "Wait till close" behavior for smooth higher timeframe representation Clean horizontal segments that update only on timeframe closes Real-Time Information Table Live countdown timers showing time remaining until each timeframe closes Visual indicators for current price position relative to each MA Cross direction indicators (↑/↓) for quick trend assessment Show/Alert status display for easy configuration verification *** Settings Overview *** Moving Average Settings MA Length: Adjustable period (default: 12) MA Type: SMA or EMA Source: Current bar vs Last confirmed bar Individual Timeframe Controls Show/Hide toggles for each timeframe Individual alert enable/disable Optional plot line with custom width Color customization per timeframe Visual Customization Label size options (tiny, small, normal, large) Label offset positioning Minimum gap between labels to prevent overlap Drawing order preference (larger timeframes first/last) Smart Features Automatic label collision detection and adjustment Real-time countdown timers (only on live bars) Debug table with comprehensive timeframe information Built-in alert setup instructions Perfect For Swing traders monitoring multiple timeframe confluences Day traders seeking higher timeframe bias confirmation Anyone wanting clean, organized multi-timeframe MA analysis Traders who need reliable alerts without false signals Performance Optimized Efficient line drawing system (no Style tab clutter) Smart historical data handling Minimal resource usage with intelligent update cycles Works smoothly on all timeframes and symbols Transform your chart into a comprehensive multi-timeframe analysis dashboard with this professional-grade moving average indicator.
Pine Script®指标
由MK_OSF_TRADING提供
VWAP with 2 EMAs + EMA TimeFrameAs you can see the chart displays the VWAP on white and the 9 EMA on the 5 min tf on green, the blue line represents the same 9 EMA on the 15 min tf that way you can see right away without navigating between timeframes if the price is retesting, breaking, rejecting a higher timeframe, you can change the EMA values for the chart and also the timeframe for the desired extra EMA, very useful for day traders and scalpers who need to think faster. Less stressful less annoying. Hope it works for you.
Pine Script®指标
由kristophersaa提供
Meta-LR ForecastThis indicator builds a forward-looking projection from the current bar by combining twelve time-compressed “mini forecasts.” Each forecast is a linear-regression-based outlook whose contribution is adaptively scaled by trend strength (via ADX) and normalized to each timeframe’s own volatility (via that timeframe’s ATR). The result is a 12-segment polyline that starts at the current price and extends one bar at a time into the future (1× through 12× the chart’s timeframe). Alongside the plotted path, the script computes two summary measures: * Per-TF Bias% — a directional efficiency × R² score for each micro-forecast, expressed as a percent. * Meta Bias% — the same score, but applied to the final, accumulated 12-step path. It summarizes how coherent and directional the combined projection is. This tool is an indicator, not a strategy. It does not place orders. Nothing here is trade advice; it is a visual, quantitative framework to help you assess directional bias and trend context across a ladder of timeframe multiples. The core engine fits a simple least-squares line on a normalized price series for each small forecast horizon and extrapolates one bar forward. That “trend” forecast is paired with its mirror, an “anti-trend” forecast, constructed around the current normalized price. The model then blends between these two wings according to current trend strength as measured by ADX. ADX is transformed into a weight (w) in using an adaptive band centered on the rolling mean (μ) with width derived from the standard deviation (σ) of ADX over a configurable lookback. When ADX is deeply below the lower band, the weight approaches -1, favoring anti-trend behavior. Inside the flat band, the weight is near zero, producing neutral behavior. Clearly above the upper band, the weight approaches +1, favoring a trend-following stance. The transitions between these regions are linear so the regime shift is smooth rather than abrupt. You can shape how quickly the model commits to either wing using two exponents. One exponent controls how aggressively positive weights lean into the trend forecast; the other controls how aggressively negative weights lean into the anti-trend forecast. Raising these exponents makes the response more gradual; lowering them makes the shift more decisive. An optional switch can force full anti-trend behavior when ADX registers a deep-low condition far below the lower tail, if you prefer a categorical stance in very flat markets. A key design choice is volatility normalization. Every micro-forecast is computed in ATR units of its own timeframe. The script fetches that timeframe’s ATR inside each security call and converts normalized outputs back to price with that exact ATR. This avoids scaling higher-timeframe effects by the chart ATR or by square-root time approximations. Using “ATR-true” for each timeframe keeps the cross-timeframe accumulation consistent and dimensionally correct. Bias% is defined as directional efficiency multiplied by R², expressed as a percent. Directional efficiency captures how much net progress occurred relative to the total path length; R² captures how well the path aligns with a straight line. If price meanders without net progress, efficiency drops; if the variation is well-explained by a line, R² rises. Multiplying the two penalizes choppy, low-signal paths and rewards sustained, coherent motion. The forward path is built by converting each per-timeframe Bias% into a small ATR-sized delta, then cumulatively adding those deltas to form a 12-step projection. This produces a polyline anchored at the current close and stepping forward one bar per timeframe multiple. Segment color flips by slope, allowing a quick read of the path’s direction and inflection. Inputs you can tune include: * Max Regression Length. Upper bound for each micro-forecast’s regression window. Larger values smooth the trend estimate at the cost of responsiveness; smaller values react faster but can add noise. * Price Source. The price series analyzed (for example, close or typical price). * ADX Length. Period used for the DMI/ADX calculation. * ATR Length (normalization). Window used for ATR; this is applied per timeframe inside each security call. * Band Lookback (for μ, σ). Lookback used to compute the adaptive ADX band statistics. Larger values stabilize the band; smaller values react more quickly. * Flat half-width (σ). Width of the neutral band on both sides of μ. Wider flats spend more time neutral; narrower flats switch regimes more readily. * Tail width beyond flat (σ). Distance from the flat band edge to the extreme trend/anti-trend zone. Larger tails create a longer ramp; smaller tails reach extremes sooner. * Polyline Width. Visual thickness of the plotted segments. * Negative Wing Aggression (anti-trend). Exponent shaping for negative weights; higher values soften the tilt into mean reversion. * Positive Wing Aggression (trend). Exponent shaping for positive weights; lower values make trend commitment stronger and sooner. * Force FULL Anti-Trend at Deep-Low ADX. Optional hard switch for extremely low ADX conditions. On the chart you will see: * A 12-segment forward polyline starting from the current close to bar\_index + 1 … +12, with green segments for up-steps and red for down-steps. * A small label at the latest bar showing Meta Bias% when available, or “n/a” when insufficient data exists. Interpreting the readouts: * Trend-following contexts are characterized by ADX above the adaptive upper band, pushing w toward +1. The blended forecast leans toward the regression extrapolation. A strongly positive Meta Bias% in this environment suggests directional alignment across the ladder of timeframes. * Mean-reversion contexts occur when ADX is well below the lower tail, pushing w toward -1 (or forcing anti-trend if enabled). After a sharp advance, a negative Meta Bias% may indicate the model projects pullback tendencies. * Neutral contexts occur when ADX sits inside the flat band; w is near zero, the blended forecast remains close to current price, and Meta Bias% tends to hover near zero. These are analytical cues, not rules. Always corroborate with your broader process, including market structure, time-of-day behavior, liquidity conditions, and risk limits. Practical usage patterns include: * Momentum confirmation. Combine a rising Meta Bias% with higher-timeframe structure (such as higher highs and higher lows) to validate continuation setups. Treat the 12th step’s distance as a coarse sense of potential room rather than as a target. * Fade filtering. If you prefer fading extremes, require ADX to be near or below the lower ramp before acting on counter-moves, and avoid fades when ADX is decisively above the upper band. * Position planning. Because per-step deltas are ATR-scaled, the path’s vertical extent can be mentally mapped to typical noise for the instrument, informing stop distance choices. The script itself does not compute orders or size. * Multi-timeframe alignment. Each step corresponds to a clean multiple of your chart timeframe, so the polyline visualizes how successively larger windows bias price, all referenced to the current bar. House-rules and repainting disclosures: * Indicator, not strategy. The script does not execute, manage, or suggest orders. It displays computed paths and bias scores for analysis only. * No performance claims. Past behavior of any measure, including Meta Bias%, does not guarantee future results. There are no assurances of profitability. * Higher-timeframe updates. Values obtained via security for higher-timeframe series can update intrabar until the higher-timeframe bar closes. The forward path and Meta Bias% may change during formation of a higher-timeframe candle. If you need confirmed higher-timeframe inputs, consider reading the prior higher-timeframe value or acting only after the higher-timeframe close. * Data sufficiency. The model requires enough history to compute ATR, ADX statistics, and regression windows. On very young charts or illiquid symbols, parts of the readout can be unavailable until sufficient data accumulates. * Volatility regimes. ATR normalization helps compare across timeframes, but unusual volatility regimes can make the path look deceptively flat or exaggerated. Judge the vertical scale relative to your instrument’s typical ATR. Tuning tips: * Stability versus responsiveness. Increase Max Regression Length to steady the micro-forecasts but accept slower response. If you lower it, consider slightly increasing Band Lookback so regime boundaries are not too jumpy. * Regime bands. Widen the flat half-width to spend more time neutral, which can reduce over-trading tendencies in chop. Shrink the tail width if you want the model to commit to extremes sooner, at the cost of more false swings. * Wing shaping. If anti-trend behavior feels too abrupt at low ADX, raise the negative wing exponent. If you want trend bias to kick in more decisively at high ADX, lower the positive wing exponent. Small changes have large effects. * Forced anti-trend. Enable the deep-low option only if you explicitly want a categorical “markets are flat, fade moves” policy. Many users prefer leaving it off to keep regime decisions continuous. Troubleshooting: * Nothing plots or the label shows “n/a.” Ensure the chart has enough history for the ADX band statistics, ATR, and the regression windows. Exotic or illiquid symbols with missing data may starve the higher-timeframe computations. Try a more liquid market or a higher timeframe. * Path flickers or shifts during the bar. This is expected when any higher-timeframe input is still forming. Wait for the higher-timeframe close for fully confirmed behavior, or modify the code to read prior values from the higher timeframe. * Polyline looks too flat or too steep. Check the chart’s vertical scale and recent ATR regime. Adjust Max Regression Length, the wing exponents, or the band widths to suit the instrument. Integration ideas for manual workflows: * Confluence checklist. Use Meta Bias% as one of several independent checks, alongside structure, session context, and event risk. Act only when multiple cues align. * Stop and target thinking. Because deltas are ATR-scaled at each timeframe, benchmark your proposed stops and targets against the forward steps’ magnitude. Stops that are much tighter than the prevailing ATR often sit inside normal noise. * Session context. Consider session hours and microstructure. The same ADX value can imply different tradeability in different sessions, particularly in index futures and FX. This indicator deliberately avoids: * Fixed thresholds for buy or sell decisions. Markets vary and fixed numbers invite overfitting. Decide what constitutes “high enough” Meta Bias% for your market and timeframe. * Automatic risk sizing. Proper sizing depends on account parameters, instrument specifications, and personal risk tolerance. Keep that decision in your risk plan, not in a visual bias tool. * Claims of edge. These measures summarize path geometry and trend context; they do not ensure a tradable edge on their own. Summary of how to think about the output: * The script builds a 12-step forward path by stacking linear-regression micro-forecasts across increasing multiples of the chart timeframe. * Each micro-forecast is blended between trend and anti-trend using an adaptive ADX band with separate aggression controls for positive and negative regimes. * All computations are done in ATR-true units for each timeframe before reconversion to price, ensuring dimensional consistency when accumulating steps. * Bias% (per-timeframe and Meta) condenses directional efficiency and trend fidelity into a compact score. * The output is designed to serve as an analytical overlay that helps assess whether conditions look trend-friendly, fade-friendly, or neutral, while acknowledging higher-timeframe update behavior and avoiding prescriptive trade rules. Use this tool as one component within a disciplined process that includes independent confirmation, event awareness, and robust risk management.
Pine Script®指标
由Tradenometry提供
1
CandelaCharts - NWOG & NDOG📝 Overview In trading, opening gaps aren’t just noise—they’re clues. Two key ones are the New Week Opening Gap (NWOG) and the New Day Opening Gap (NDOG). The NWOG forms between Friday’s close (5 PM EST) and Sunday’s open (6 PM EST). It often acts as a magnet—price tends to revisit it, sometimes days or even weeks later. The NDOG is the daily version, showing imbalances at the start of each session. Between two NWOGs, the Event Horizon (EH)—the midpoint—often becomes a pull for price. When the price hits it, there's a good chance it keeps moving toward the next gap. I also watch the Optimal Trade Entry (OTE) zones, usually around the 0.68–0.79 retracements between NWOGs. These levels often line up with institutional interest and make solid spots for entries. To simplify all this, I use an indicator that automatically detects NWOGs and NDOGs, then plots the EH and OTE levels in real time. No manual drawing. Just clean, updated levels every week. These gaps and their derived levels help map where price is likely to go—and when to act. 📦 Features MTF Mitigation Consequent Encroachment Threshold Hide Overlap Advanced Styling ⚙️ Settings Show: Controls whether NWOG/NDOG gaps are displayed on the chart. Show Last: Sets the number of NWOG/NDOG you want to display. Length: Determines the length of each NWOG/NDOG. Mitigation: Highlights when an NWOG/NDOG has been touched, using a different color without marking it as invalid. Timeframe: Specifies the timeframe used to detect NWOG/NDOGs. Threshold: Sets the minimum gap size required for NWOG/NDOG detection on the chart. Event Horizon: Controls whether EHs are displayed on the chart. Show Mid-Line: Configures the midpoint line's width and style within the NWOG/NDOG. (Consequent Encroachment - CE) Show Border: Defines the border width and line style of the NWOG/NDOG. Hide Overlap: Removes overlapping NWOG/NDOG from view. Extend: Extends the NWOG/NDOG length to the current candle. Elongate: Fully extends the NWOG/NDOG length to the right side of the chart. ⚡️ Showcase Simple Mitigated Bordered Consequent Encroachment Extended Event Horizon 🚨 Alerts This script provides alert options for all signals. Bearish Signal A bearish signal is triggered if the price enters a bearish NWOG/NDOG zone. Bullish Signal A bullish signal is triggered if the price enters a bullish NWOG/NDOG zone. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Pine Script®指标
由CandelaCharts提供
Jitendra: MTF AIO Technical Indicators with Trend ▲▼Jitendra: MTF AIO Technical Indicators with Trend ▲▼ Why We Designed this Indicator we build this indicator to Analysis Multi-timeframe Technical Data in dashboard to get Better and Quick Data in which Time Frame where it is in Momentum or in Swing, By combining multiple technical indicators with trend direction arrows and displaying them in a customizable table. It also optionally plots some indicators EMA, VWAP, Supertrend, Bollinger Bands on the chart. Traders who want a compact technical summary across multiple timeframes without switching charts. Quickly assess trend strength, momentum, divergence, volume pressure in one glance. Combine with price action to make higher-confidence entries/exits. How to Use This Indicator In setting there are Two parts First Part - for Plot Multi EMA, Bollinger Band, Supertrend 10,2 & 10, 3 factorial Second Part- To get Data on Table for Quick Analysis Chart Plots With Enable Disable Toggle in Setting VWAP (optional) 4 EMAs (lengths configurable) Bollinger Bands (optional) Two separate Supertrend indicators with custom ATR period and multiplier Indicators Data in Table For each selected timeframe: VWAP position (price above/below) MACD value + trend arrow MACD Histogram (optional) RSI value + arrow (rising/falling) ADX value + arrow (strength rising/falling) +DI / -DI values + trend arrows RSI Divergence detection (regular + hidden) EMA levels (up/down relative to price) EMA crossover (EMA1 vs EMA2 arrow) Stochastic %K Volume Matrix: Raw volume 20 SMA volume Volume % change from SMA Multi-Timeframe Support Current timeframe + up to 5 user-defined timeframes (e.g., 1H, 4H, Daily, Weekly, Monthly) Customizable Toggles Enable/disable any indicator Choose which EMAs to show Show/hide trend arrows Choose which volume metrics to display Choose table position (top_left, top_right, etc.) Choose table text size Trend Arrows & Colors Green ▲ = bullish / rising trend Red ▼ = bearish / falling trend Gray – = neutral/no change Background colors indicate overbought/oversold, trend strength, or volume surge. Indicator Data Fetch PINE CODE Short Summary request.security() → pulls data from the selected timeframe (tf). Each indicator’s calculation can be wrapped inside request.security() so the values are computed on that timeframe. //@version=5 // === 1. VWAP === vwap_htf = request.security(syminfo.tickerid, tf, ta.vwap) // === 2. MACD === macd_src = request.security(syminfo.tickerid, tf, close) macd_val = ta.ema(macd_src, 12) - ta.ema(macd_src, 26) macd_sig = ta.ema(macd_val, 9) macd_hist = macd_val - macd_sig // === 3. RSI === rsi_htf = request.security(syminfo.tickerid, tf, ta.rsi(close, 14)) // === 4. ADX & DI === adx_htf = request.security(syminfo.tickerid, tf, ta.adx(14)) plusDI = request.security(syminfo.tickerid, tf, ta.plus_di(14)) minusDI = request.security(syminfo.tickerid, tf, ta.minus_di(14)) // === 5. Supertrend === = request.security(syminfo.tickerid, tf, ta.supertrend(3, 7)) // === 6. Bollinger Bands === basis = ta.sma(close, 20) dev = ta.stdev(close, 20) bb_up = request.security(syminfo.tickerid, tf, basis + dev * 2) bb_low = request.security(syminfo.tickerid, tf, basis - dev * 2) // === 7. Stochastic === k = ta.sma(ta.stoch(close, high, low, 14), 3) d = ta.sma(k, 3) stochK = request.security(syminfo.tickerid, tf, k) stochD = request.security(syminfo.tickerid, tf, d) // === 8. EMA === ema20 = request.security(syminfo.tickerid, tf, ta.ema(close, 20)) ema50 = request.security(syminfo.tickerid, tf, ta.ema(close, 50)) // === 9. Historical Volatility (HV) === logReturns = math.log(close / close ) hv = request.security(syminfo.tickerid, tf, ta.stdev(logReturns, 20) * math.sqrt(252)) plot(vwap_htf, "VWAP") plot(macd_val, "MACD", color=color.blue) plot(rsi_htf, "RSI", color=color.purple)
Pine Script®指标
由radhe396提供
WaveTrend Signal [TCMaster]Features: Calculates WaveTrend using customizable channel and average lengths. Highlights overbought and oversold zones for easier visual reference. Adds vertical dotted lines when the two WaveTrend lines cross in extreme zones (possible turning points). Optional BUY/SELL markers for quick identification of crossover events. Built-in alert conditions for integration with TradingView alerts. How it works: A potential BUY signal occurs when WT1 crosses above WT2 while both are below the oversold threshold. A potential SELL signal occurs when WT1 crosses below WT2 while both are above the overbought threshold. These events are purely technical conditions and do not guarantee market direction. Important Disclaimer: This script is provided for educational and informational purposes only. It is not financial advice, and past performance does not guarantee future results. Always do your own research and use proper risk management before making trading decisions.
Pine Script®指标
由TCMaster提供