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Bänder und Kanäle

Levels by EVThis indicator plots a clean set of commonly used reference levels on the chart, including the prior day high and low (PDH/PDL), the current day open (DO), prior week high and low (PWH/PWL), prior month high and low (PMH/PML). Daily, weekly, and monthly levels are sourced from their respective higher timeframes to keep the values stable and consistent across intraday charts. Session ranges are calculated using a selectable timezone and are updated in a controlled way to avoid unnecessary object creation and chart clutter. An optional setting allows developing session highs and lows to update while the session is active, or you can keep session levels fixed once the session ends. Use these levels as context for liquidity, support/resistance, and session structure. Labels can be enabled or disabled, and can optionally be kept on the right edge so the chart remains readable on any zoom level.
Pine Script® Indikator
von EVLabs
XAUUSD 15m - Clean Signals (Anti-Spam v3)This **XAUUSD 15m – Clean Signals (Anti-Spam v3)** is a trend-aligned signal indicator built around an **EMA basis + ATR channel**. It aims to produce **fewer but cleaner** long/short prompts. A 7-EMA acts as the basis line, ATR forms inner/outer bands, and a 50-EMA provides a trend filter. By default, it uses **ADX strength filtering** plus a **confirmation candle** rule to avoid choppy conditions and weak breakouts. Signals come in three types: **DR (pullback → reversal back above/below the basis)**, **MR (pierce the inner band then reclaim it)**, and **BO (inner-band breakout, off by default due to over-triggering)**. To control frequency, it adds a **cooldown (minimum bars between signals)** and a strict **arming/reset de-duplication**: after a same-direction signal fires, it won’t fire again until price “resets” by touching the inner band or the basis (user-selectable). A “room to outer band” filter helps prevent chasing near extremes. Overall, it’s designed for disciplined 15-minute momentum-pullback entries, especially during liquid sessions like London.
Pine Script® Indikator
von xuziyu409
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals. Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend. Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
Pine Script® Indikator
von Aplanet33
Options Confluence Overlay - Stocks (1D) The Options Confluence Overlay — Stocks is a daily timeframe indicator designed for equities and ETFs, with a focus on timing, structure, and risk clarity rather than frequent signals. This tool combines price structure, volatility, and momentum timing into a single visual framework that helps traders decide when to trade, when to stand aside, and where risk and exits are clearly defined. Unlike fast-signal indicators, this script emphasizes trade quality over trade quantity. 🔍 What the indicator does The indicator evaluates four core components on the daily chart, with an optional weekly trend filter: • Mean + Deviation Band (Band 1) to define structure • ATR-based targets to project realistic price expansion • Momentum timing using Stochastic RSI (cross or approach) • Confluence scoring to allow or block trades Only when these elements align does the indicator permit a CALL, PUT, or display NO-TRADE. 🟩 Preferred Entry Zone (PEZ) When a CALL or PUT is allowed, the indicator highlights a Preferred Entry Zone (PEZ): • CALL PEZ: Mean → Lower Band • PUT PEZ: Mean → Upper Band This zone represents areas where risk is better defined and entries are typically more favorable. 🎯 Primary Exit (Partial ATR) Instead of encouraging traders to chase full volatility expansion, the indicator includes a Primary Exit level: • A configurable percentage of ATR • Designed to capture early, high-probability movement • Especially useful for shorter-term trades or profit protection Full ATR targets are still shown, but the Primary Exit is intended as the first decision point, not a promise of full extension. 🧠 Entry Quality (Informational) When enabled, the dashboard displays an Entry Quality hint: • PEZ Deep — price is deeper into the zone (higher potential, higher patience required) • PEZ Shallow — price is closer to the mean (faster, but less extended setups) This is informational only and does not block trades. 🚦 Trade states The dashboard clearly communicates one of three states: • CALL allowed • PUT allowed • NO-TRADE (conditions are mixed or incomplete) The indicator is intentionally conservative during NO-TRADE periods. ⚠️ Important notes • Designed for stocks and ETFs, not crypto • Intended for daily timeframe analysis • Not financial advice • Always combine with proper risk management 📘 Model Trade Example (CALL) The dashboard shows CALL allowed Price pulls back into the green PEZ Weekly filter confirms bullish direction Enter near the PEZ (no chasing breakouts) Risk: below Band 1 low Primary Exit: at the yellow Primary Exit level Optional: hold partial size toward full ATR target if momentum remains strong If the dashboard changes to NO-TRADE, no new entries are taken. 📕 Model Trade Example (PUT) The dashboard shows PUT allowed Price rallies into the red PEZ Weekly filter confirms bearish direction Enter near resistance inside PEZ Risk: above Band 1 high Primary Exit: at the yellow Primary Exit level Avoid holding through momentum exhaustion
Pine Script® Indikator
von Dinjin
LogTrend Retest EngineLogTrend Retest Engine (LTRE) LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering . Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends. 🔹 How It Works Logarithmic Regression Core Performs linear regression on log-transformed price and time Produces a structurally accurate trend midline that scales with price growth Volatility-Adjusted Deviation Bands Dynamic upper and lower zones based on statistical deviation ATR weighting expands or contracts bands as volatility changes Adaptive Lookback (Optional) Automatically adjusts regression length using volatility pressure Faster response in high-volatility environments, smoother in consolidation 🔹 Market Regime Detection LTRE actively filters conditions using: R² trend strength (trend quality, not just slope) Volatility compression vs expansion User-defined minimum trend strength threshold Signals are disabled during ranging or low-quality conditions . 🔹 Breakout → Retest Signal Logic LTRE does not chase breakouts. Signals trigger only when: 1. Price breaks cleanly outside the deviation band 2. Market regime is confirmed as trending 3. Price performs a controlled retest within a user-defined tolerance BUY Break above upper band → retest → trend confirmed SELL Break below lower band → retest → trend confirmed This structure is designed to reduce false breakouts and late entries. 🔹 Visual & Projection Tools Clean midline and deviation bands Optional filled zones Optional future trend projection for forward structure planning On-chart statistics for trend strength and volatility compression 🔹 Best Use Cases Trend continuation & pullback strategies Crypto, Forex, Indices, and equities Works best on 15m and higher timeframes ⚠️ Disclaimer LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context. Built for traders who wait for structure — not noise.
Pine Script® Indikator
von Cryptobingbong
MA Zone Candle Color 8.0This indicator plots a selected moving average (any type: EMA, VWAP, HMA, ALMA, custom composites, RVWAP, etc.) and creates a symmetrical grid of horizontal levels/bands spaced at precise, predefined increments around it. The spacing between levels can be set in two modes: Percent (%) of the current MA value Points (fixed price units) The available increment sizes follow a specific geometric-like sequence (very similar to Gann square-of-9 derived steps), giving you clean, repeatable distance choices such as 0.61, 1.22, 2.44, 4.88, 9.77 points (or their percentage equivalents). Core purpose It visually marks exactly how far price has moved away from your chosen moving average — in multiples of the increment you selected. Main practical use cases - 1. Measuring distance from key reference level VWAP or EMA(20–89), Points mode, 1.22–4.88 incr. "Price is currently 3.5 increments above VWAP" → quick context for context 2. Identifying structured price levels Points mode + 2.44 or 4.88 increment Treat every band as potential support/resistance or target zone 3. Comparing extension size across instruments Percent mode, same increment value across symbols Makes extensions visually comparable (BTC vs ETH vs SPX vs NQ) 4. Session / intraday structure mapping RVWAP or session VWAP + Points mode See how many "steps" price has made since session open / reset 5. Setting objective take-profit / scale-out levels Any MA + medium increment (4.88–19.53 points) "I'll take partials at +2×, +4×, +6× increment" — very mechanical 6. Volatility-adjusted grid (crypto/forex) Points mode with larger increments Prevents bands from becoming too wide/narrow during huge volatility swings Most common combo MA: VWAP or RVWAP (session/day reset) Mode: Points Increment: 1.220704 or 2.441408 or 4.8828125 Bands per side: 30–60 → Creates a clean, evenly-spaced ladder of levels around the daily/intraday average that traders can use purely for distance measurement and objective level marking. In short: It's a very precise, repeatable distance ruler built around any moving average you choose — nothing more, nothing less.
Pine Script® Indikator
von surfchaser
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description Purpose This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context. Data Sources All fundamentals are pulled from TradingView’s financial dataset using: request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on) Where: "FQ" = Quarterly frequency barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available) Financial fields used: FREE_CASH_FLOW (FCF) ENTERPRISE_VALUE (EV) TOTAL_SHARES_OUTSTANDING DILUTED_SHARES_OUTSTANDING Market cap is derived (not pulled directly in this version): marketCap = totalSharesOutstanding * close (Only used as a reference in the script; the yield itself is based on EV.) Core Calculation 1) FCF Yield (Net) The base yield is: FCF Yield ( % ) = FCF Enterprise Value × 100 FCF Yield(%)= Enterprise Value FCF ​ ×100 Implementation detail: If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors. Dilution Adjustment (Optional Series) 2) Dilution Ratio The script estimates dilution impact using: dilutionRatio = Total Shares Outstanding Diluted Shares Outstanding dilutionRatio= Diluted Shares Outstanding Total Shares Outstanding ​ Notes: If dilutedSharesOutstanding is missing or zero, the ratio becomes na. 3) Diluted FCF Yield If the ratio indicates dilution (<= 1), yield is scaled down: FCF Yield Diluted = FCF Yield × dilutionRatio FCF Yield Diluted=FCF Yield×dilutionRatio Else (ratio > 1 or na), the script defaults to the net yield: FCF Yield Diluted = FCF Yield FCF Yield Diluted=FCF Yield Practical interpretation: More dilution → lower ratio → lower diluted yield. If dilution fields are not reliable for a ticker, the script falls back to the base yield. Plotting Two series are shown: FCF Yield Net: plotted as columns (bars) FCF Yield Diluted: plotted as an area overlay This makes it easy to see: Step changes when new quarter data arrives Whether dilution meaningfully reduces the yield Labels (Per-bar) When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level. Important technical point: Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting: str.tostring(fcfYieldDiluted / 100, format.percent) Rolling History & Averages 1) Rolling storage The script maintains a rolling array of the most recent 40 quarterly values: 40 quarters ≈ 10 years Each time a non-NA quarterly yield appears: It pushes it into the array If array length exceeds 40, it removes the oldest value 2) Trailing averages (quarter windows) Averages are computed over the most recent N quarters: 1Q (latest quarter value) 4Q ≈ 1 year 8Q ≈ 2 years 20Q ≈ 5 years 40Q ≈ 10 years If fewer than N values exist, that average is na. End-of-chart Summary Label On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above. Placement logic The label is positioned slightly to the right of the current bar: Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future. frequencyUnit is computed as: frequencyUnit ≈ Seconds in 12 months Seconds per chart bar ÷ 4 frequencyUnit≈ Seconds per chart bar Seconds in 12 months ​ ÷4 This is only for visual spacing, not calculation correctness. Limitations / Notes The yield series is “step-like” and updates only when new quarterly fundamentals are available. For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield. EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
Pine Script® Indikator
von mfeldyriza
Fibonacci Sequence Grid [BigBeluga]🔵 OVERVIEW A geometric price mapping tool that projects Fibonacci sequence levels and grid structures from recent price swings to help traders visualize natural expansion and reversion zones. This indicator overlays Fibonacci-based structures directly on the chart, utilizing both grid projections and horizontal levels based on the classic Fibonacci integer sequence (0, 1, 1, 2, 3, 5, 8, ...). It identifies recent swing highs or lows and builds precision-aligned levels based on the trend direction. 🔵 CONCEPTS Uses the Fibonacci integer sequence (not ratios) to define distances from the most recent swing point. Identifies a trend based on EMA cross of fast and slow periods. Projects two types of Fibonacci tools: A grid projection from the swing point, displaying multiple sloped levels based on the sequence. A set of horizontal Fibonacci levels for clean structural references. Levels can be plotted from either swing low or high depending on the current trend direction. Adjustable “Size” inputs control spacing between levels for better price alignment. Lookback period defines how far the script searches for recent swing extremes. 🔵 FEATURES Fibonacci Grid Projection: Draws two mirrored Fibonacci grids—one expanding away from the swing high/low, the other converging toward price. Swing-Based Trend Detection: Uses a fast/slow EMA crossover to determine trend direction and reference swing points for projections. Fibonacci Sequence Levels: Displays horizontal levels based on the Fibonacci number sequence (0, 1, 2, 3, 5, 8, 13, 21...) for natural price targets. Dynamic Labels and Coloring: Each level is labeled with its sequence value and colored based on trend direction (e.g., red = downtrend, green = uptrend). Both grids and levels can be toggled on/off independently. Sizing controls allow tighter or looser clustering of levels depending on chart scale. 🔵 HOW TO USE Enable Fibonacci Grid to visualize price expansion zones during impulsive trends. Use Fibonacci Levels as horizontal support/resistance or target zones. A label below price means the current trend is up and levels are projected from swing low. A label above price means trend is down and levels are projected from swing high. Adjust “Size” input to fit grid/level projection to your preferred chart scale or instrument volatility. Use in confluence with price action, trend indicators, or volume tools for layered trading decisions. 🔵 CONCLUSION Fibonacci Sequence Grid reimagines Fibonacci analysis using whole-number spacing from natural math progressions. Whether used for projecting grid-based expansions or horizontal support/resistance zones, it provides a powerful and intuitive structure to trade within. Perfect for traders who rely on symmetry, market geometry, and mathematically consistent levels.
Pine Script® Indikator
von BigBeluga
1
Linear Regression Market State IndexStandard Deviation Market Structure Indicator A Comprehensive Multi-Timeframe Market Analysis Tool 🎯 Overview The Standard Deviation Market Structure (SDMS) indicator is a sophisticated technical analysis tool that integrates multiple proven methodologies to identify market structure, trend direction, and potential reversal zones. By combining price action, statistical analysis, and momentum indicators across multiple timeframes, SDMS provides traders with a comprehensive view of market dynamics. ✨ Key Features Multi-Timeframe Integration Primary analysis on current timeframe 1-hour statistical confirmation for support/resistance levels Order block extension across 500 future bars Comprehensive Technical Suite RSI with Deviation Analysis Dynamic Order Block Detection Gaussian Filter Channels Linear Regression with Statistical Bands Standard deviation to detect price outliers Directional Movement Index (DMI/ADX) Bollinger Band % Analysis Support/Resistance Line System Visual Clarity Color-coded signals and zones Automatic level management Clean, intuitive display 📊 Core Components Explained 1. Order Block System What Are Order Blocks? Order blocks are price zones where institutional activity has occurred, creating future support or resistance levels. SDMS automatically detects these critical zones. Detection Logic: Bullish Order Blocks: Form when price breaks above recent highs following bearish candles Bearish Order Blocks: Form when price breaks below recent lows following bullish candles Visual Identification: Green boxes with "BuOB" labels (support zones) Red boxes with "BeOB" labels (resistance zones) Each block shows its boundary price for easy reference Dynamic Management: Automatically extends 300 bars into the future Self-cleaning: removes blocks when price breaches their boundaries Real-time adjustment to changing market structure 2. Statistical Support/Resistance System How It Works: SDMS creates support and resistance lines based on statistical extremes confirmed on the 1-hour timeframe. Trigger Conditions: Support Lines (Green): Trigger when 1H Bollinger Band % crosses above 0 and bearish momentum subsides. Resistance Lines (Red): Trigger when 1H Bollinger Band % crosses below 1 and bullish momentum subsides The Science Behind BB%: BB% = (Price - Lower Band) / (Upper Band - Lower Band) BB% <= 0: Price at statistical oversold extreme; also indicated by white candles. BB% > 1: Price at statistical overbought extreme; also indicated by white candles. Line Management: Maximum of 15 active lines Oldest lines automatically removed Lines extend across chart for ongoing reference 3. Trend Analysis Suite Hull Moving Average (HMA): 55-period smoothed trend indicator Color-coded: Green = bullish, Red = bearish Visual band shows trend acceleration/deceleration Gaussian Channel: Advanced filtering of market noise Dynamic channel based on true range volatility Helps identify mean reversion opportunities Form a yellow band when price is overbought or oversold zones. Linear Regression System: Statistical price modeling Multiple standard deviation bands (up to 3SD) Regression-based candlestick visualization Candles turn white when in overbought zones. Yellow candles indicate extremely overbought zones. Blue candles indicate a bullish trend with high volume. Bearish candles are bluish-purple when volume is high and red when the volume is within normal ranges or low. 4. Momentum & Oscillator Integration RSI with Deviation Tracking: 21-period RSI with 30-period smoothing Tracks deviation from moving average based off linear regression Identifies momentum divergences Directional Movement Index: Multi-period DMI/ADX analysis Used to detect overbought and oversold zones within the indicator calculations. Combines with RSI for enhanced signals Momentum confirmation for all entries/exits 🎯 Trading Signals & Alerts Buy Signals (Yellow "Buy" Labels) Multi-Condition Confirmation Required: RSI Oversold Reversal: RSI crosses above 30 Trend Alignment: HMA showing bullish structure Momentum Confirmation: DMI alignment Statistical Support: Price at or near support zones Risk Management: Multiple confirming indicators Strong Buy Conditions: Confluence of order block support + BB% support line Multiple timeframe alignment Volume confirmation at key levels Sell Signals (Red/Yellow "Sell" Labels) Multi-Condition Confirmation Required: RSI Overbought Reversal: RSI crosses below 70 Trend Exhaustion: HMA showing bearish structure Momentum Divergence: DMI bearish alignment Statistical Resistance: Price at or near resistance zones Timeframe Confirmation: 1H BB% bearish signals Strong Sell Conditions: Confluence of order block resistance + BB% resistance line Multiple timeframe distribution Volume surge at resistance Additional Alerts RSI Divergence Signals: Triangles showing momentum shifts Extreme Price Alerts: Circles at statistical extremes Structure Breaks: Visual cues for order block violations 🎨 Visual System Guide Color Coding System Green: Bullish conditions, support zones, rising trends Red: Bearish conditions, resistance zones, falling trends Blue: Statistical channels, neutral zones Yellow: Alert conditions, extreme signals White: Transition zones, neutral signals Zone Identification Buying Pressure Zones: Green/blue tinted areas below price or white candles with white dots within the moving average center line Selling Pressure Zones: Red tinted areas above price with white dots within the moving average center line Standard Deviation Zones: Gradient colors showing statistical extremes ⚙️ Customization Options Adjustable Parameters RSI Settings: Period, oversold/overbought levels, sensitivity Order Block Detection: Lookback period, ATR multiplier, extension Statistical Settings: Gaussian filter poles, regression periods Support/Resistance: Maximum lines, BB% settings Visual Preferences: Colors, band displays, alert styles Input Groups RSI Trading Strategy Order Block Configuration Gaussian Channel Settings Linear Regression Parameters DMI/ADX Configuration Bollinger Band % Settings 📈 Practical Trading Applications For Swing Traders Identify Key Levels: Use order blocks + BB% lines for entry/exit planning Trend Confirmation: HMA + Gaussian channel for trend direction Risk Management: Standard deviation bands for stop placement Timing Entries: RSI/DMI alignment for optimal entry timing For Day Traders Intraday Levels: Order blocks provide immediate S/R for day trading Momentum Signals: Real-time RSI/DMI signals for quick moves Statistical Edges: Gaussian channel for mean reversion plays Breakout Confirmation: Order block breaks with volume For Position Traders Higher Timeframe Structure: 1H BB% lines for major levels Trend Persistence: HMA for long-term trend identification Accumulation/Distribution Zones: Order blocks show institutional activity Multi-Timeframe Alignment: Confirmation across timeframes 🔍 How to Use SDMS Effectively Step 1: Market Structure Assessment Identify active order blocks (green/red boxes) Note BB% support/resistance lines (horizontal lines) Assess HMA and moving average trend direction (color) Check Gaussian channel position (preferably outside 2SD) Step 2: Signal Confirmation Wait for multiple indicator alignment look for doji candles. Confirm with green (bullish) or red (bearish) candles Confirm with volume if available Check for confluence of levels Assess risk/reward based on nearby levels Step 3: Trade Management Enter at confirmed support/resistance Place stops beyond opposite levels Take profits at next statistical level Monitor for structure changes Step 4: Risk Management Use standard deviation bands for volatility assessment Never risk more than 1-2% per trade Adjust position size based on confluence strength Have predefined exit rules 💡 Advanced Strategies Strategy 1: Confluence Trading Setup: Order block + BB% line at same level Entry: Price tests confluence zone with RSI signal Stop: Beyond the confluence zone Target: Next statistical level Strategy 2: Breakout Trading Setup: Price approaching order block boundary Entry: Break with volume + RSI/DMI confirmation Stop: Re-entry into order block Target: Next BB% line extension Strategy 3: Mean Reversion Setup: Price at Gaussian channel extremes Entry: RSI reversal signal at channel boundary Stop: Beyond channel extreme Target: Channel midline or opposite boundary ⚠️ Important Considerations Best Market Conditions Trending Markets: Excellent performance in clear trends Breakout Scenarios: Strong identification of break levels Range Markets: Works well with defined ranges Limitations Choppy Markets: May give false signals in consolidation News Events: Fundamental shocks can override technical levels Timeframe Specific: Optimal on 15-minute to daily charts Risk Management Rules Always use stops Never rely on single signals Consider market context Adjust for volatility changes Keep position sizes consistent 🔧 Technical Specifications Maximum Lines: 500 Maximum Bars Back: 1000 Maximum Boxes: 500 Calculation Efficiency: Optimized for real-time use 🏆 Why SDMS Stands Out Unique Advantages Integrated Approach: Combines multiple methodologies into one tool Self-Adjusting: Automatically adapts to market changes Multi-Timeframe: Provides both immediate and higher timeframe context Visual Clarity: Clean, intuitive display of complex data Professional Grade: Institutional-level analysis accessible to all traders Educational Value: Learn how different indicators interact Understand market structure development See institutional order flow patterns Develop disciplined trading habits 📚 Learning Resources Recommended Study Approach Start Simple: Focus on order blocks and BB% lines first Add Complexity: Gradually incorporate other indicators Paper Trade: Practice without risk Keep Journal: Document setups and outcomes Review Regularly: Analyze both wins and losses Common Pitfalls to Avoid Overtrading: Wait for high-quality setups Ignoring Context: Consider overall market conditions Chasing Signals: Enter at planned levels, not after moves Risk Mismanagement: Always know your risk before entering Confirmation Bias: Be objective about signals 🤝 Community & Support Getting the Most from SDMS Start with Defaults: Use default settings initially Adjust Gradually: Make small changes as you understand the tool Combine with Fundamentals: Use for timing within fundamental context Stay Disciplined: Follow your trading plan consistently Continuous Improvement SDMS is designed for continuous learning. As you use the indicator, you'll develop insights into: Market microstructure Institutional trading patterns Statistical edge identification Risk management optimization Risk management is more important than signal accuracy Patience is required for high-quality setups Success Factors Discipline: Following your plan consistently Patience: Waiting for proper setups Risk Management: Protecting your capital Continuous Learning: Improving your skills over time 🌟 Final Thoughts The Standard Deviation Market Structure indicator represents a sophisticated approach to technical analysis, combining the best elements of price action, statistical analysis, and momentum indicators. While powerful, remember that no indicator guarantees success. SDMS is a tool – your skill, discipline, and risk management determine your trading results. Use SDMS as part of a comprehensive trading plan, combine it with proper risk management, and continue developing your trading skills. The markets are always teaching – stay humble, stay disciplined, and trade well. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk of loss. Always consult with a qualified financial professional before making investment decisions.
Pine Script® Indikator
von capableDealer16380
MLSS v3 + AlertsTitle: 6-in-1 Professional Levels Suite ​Description: ​Overview This comprehensive indicator is designed for price action traders who rely on key structural levels. It automatically identifies and plots six distinct types of support and resistance zones, significantly reducing chart clutter and manual work. Whether you are following the Gerchik methodology or classic S/R strategies, this tool provides the "skeleton" of the market at a glance. ​Key Features & Methodology: ​Limit Player Levels (LPL): Identifies precise "penny-to-penny" touches where a large limit order is holding the price. Configurable tolerance in ticks. ​Historical Levels (HL): Plots major global swing points from higher timeframes (Daily/Monthly) that represent long-term trend shifts. ​Mirror Levels (ML): Automatically detects classic "Role Reversal" zones where previous resistance becomes new support (and vice versa) within a specific lookback period. ​Paranormal Bar Levels (PBL): Highlights the High and Low of candles with anomalous volatility (based on 2x ATR multiplier). These are high-interest zones for institutional liquidity. ​Previous Day High/Low (PDH/PDL): Essential daily boundaries for intraday traders to gauge the current day's bias. ​Round Numbers (RN): Psychological levels (e.g., .000, .500) that act as natural magnets for price action. ​Why use this indicator? ​Clean Visualization: Each level is uniquely color-coded and labeled. ​Fully Customizable: Toggle any level type on/off and adjust calculation parameters (ATR multipliers, lookback depth, and tick tolerance). ​Efficiency: Stops the "full-screen panic" by keeping your essential levels visible and organized. ​How to use: ​Look for clusters where multiple levels (e.g., a Mirror Level + a Round Number) coincide — these are high-probability reversal zones. ​Use PBL levels to identify where big money "opened the curtain" during news events. ​Instructions for Publishing (Маленькие советы):
Pine Script® Indikator
von sosedko33
23:00 London 15m -> Asia Close (No colors)//@version=5 indicator("23:00 London 15m -> Asia Close (No colors)", overlay=true, max_lines_count=50, max_labels_count=50) tz = "Europe/London" // set Asia close in London time asiaCloseHour = input.int(6, "Asia close hour (London)", minval=0, maxval=23) asiaCloseMin = input.int(0, "Asia close minute", minval=0, maxval=59) is15 = timeframe.period == "15" is2300 = hour(time, tz) == 23 and minute(time, tz) == 0 cond = is15 and is2300 var line hiLine = na var line loLine = na var label info = na f_asiaCloseTs(_t) => y = year(_t, tz) m = month(_t, tz) d = dayofmonth(_t, tz) closeToday = timestamp(tz, y, m, d, asiaCloseHour, asiaCloseMin) closeNext = timestamp(tz, y, m, d + 1, asiaCloseHour, asiaCloseMin) _t >= closeToday ? closeNext : closeToday if cond hi = high lo = low endTs = f_asiaCloseTs(time) if not na(hiLine) line.delete(hiLine) if not na(loLine) line.delete(loLine) if not na(info) label.delete(info) // High line hiLine := line.new(time, hi, endTs, hi, xloc=xloc.bar_time, extend=extend.none, width=2) // Low line loLine := line.new(time, lo, endTs, lo, xloc=xloc.bar_time, extend=extend.none, width=2) // Label with exact values info := label.new(endTs, hi, xloc=xloc.bar_time, text="23:00 London (15m) High: " + str.tostring(hi, format.mintick) + " Low: " + str.tostring(lo, format.mintick), style=label.style_label_left)
Pine Script® Indikator
von danevsb