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Trend Analizi

Hourly Divider with Opening Price🕐 Hour Lines with Opening Price — Utility Indicator This lightweight TradingView script helps short-term option traders quickly visualize hourly structure and bias. What it does: Draws a vertical blue line at the start of each new hour Draws a horizontal yellow line from the opening price of the hour, extending until the next hour Purpose: This tool makes it easy to: Track hourly price context on lower timeframes like 1-minute See how far price moves relative to the hourly open Identify mean-reversion or breakout conditions around hourly transitions Best used on: 1-minute (1m) charts, where understanding the position of price relative to the hourly open can inform "Up or Down" binary trades.
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cryptocreate tarafından
EdgeXplorer - Phantom FlowPhantom Flow by EdgeXplorer Phantom Flow is a high-precision, visual market structure toolkit inspired by core ICT (Inner Circle Trader) concepts — including Order Blocks (OBs), Fair Value Gaps (FVGs), Market Structure Shifts (MSS), Liquidity Zones, Killzones, and Balance Price Ranges (BPRs). Designed for real-time clarity and SMC-aligned trading, this tool enhances raw ICT theory with practical execution features: extended zone logic, session filters, and pivot-sensitive rendering. Whether you’re swing trading on HTF or scalping intraday moves in New York or London, Phantom Flow gives you a clean, structured lens through which to interpret price behavior — without clutter or noise. ⸻ 🔍 What Does Phantom Flow Do? This indicator maps out multiple price action phenomena in one system. It detects and plots: • Order Blocks (OBs) — potential institutional footprints • Fair Value Gaps (FVGs) — inefficiencies or imbalance zones • Market Structure Shifts (MSS) — directional break points • Liquidity Zones — buy-side and sell-side wick traps • Balance Price Ranges (BPRs) — overlap zones from opposing FVGs • Killzones (Sessions) — session-specific high-probability windows Each element is toggleable, color-coded, and drawn directly on the chart, creating an intuitive visual environment to identify potential setups or confirm directional bias. ⸻ ⚙️ How It Works – Technical Breakdown 1. Pivot Engine Phantom Flow uses ta.pivothigh() and ta.pivotlow() with a configurable lookback period to establish reactive swing points for structure and liquidity logic. 2. Market Structure Shifts (MSS) MSS logic checks for breaks above prior highs or below prior lows: • If price closes above a previous pivot high, it flags a bullish MSS. • If price closes below a previous pivot low, it flags a bearish MSS. Each MSS is marked with a line and label at the structure break. 3. Order Blocks (OBs) When a swing high or low is confirmed: • A bearish OB is plotted between the open and high of the pivot bar. • A bullish OB is plotted between the low and open of the pivot bar. OB zones are drawn as transparent boxes that project forward several candles. 4. Fair Value Gaps (FVGs) Imbalance zones are defined when: • A bullish FVG occurs if the current low is above the high from two candles ago, and price closed bullish. • A bearish FVG occurs if the current high is below the low from two candles ago, and price closed bearish. These are visualized as boxes with “FVG” labels. 5. Balance Price Ranges (BPRs) If both a bullish and bearish FVG overlap in the same bar: • A gray BPR box is plotted to represent the zone where those inefficiencies cancel or compress into a range. Useful for tracking potential accumulation or consolidation. 6. Liquidity Zones (Wick Detection) Using ATR-based wick thresholds: • Buy-side Liquidity is identified where long lower wicks form beneath pivot lows. • Sell-side Liquidity is identified where long upper wicks form above pivot highs. These zones indicate where stop hunts or liquidity grabs may occur. 7. Killzones (Sessions) Two sessions are visualized using background colors: • New York Killzone (default: 7:00–9:00 EST) — yellow background • London Killzone (default: 2:00–5:00 GMT) — blue background Sessions are dynamically aligned with your chart’s timeframe and location. ⸻ 📈 What Each Visual Element Represents Element Meaning Green OB Box Bullish order block (potential demand zone) Red OB Box Bearish order block (potential supply zone) Teal FVG Box Bullish fair value gap (imbalance to the upside) Maroon FVG Box Bearish fair value gap (imbalance to the downside) Gray BPR Box Balance price range — compression of opposing gaps Blue Liquidity Zone Buy-side liquidity below a swing low Orange Liquidity Zone Sell-side liquidity above a swing high Lime Line + Label Bullish Market Structure Shift (MSS ↑) Fuchsia Line + Label Bearish Market Structure Shift (MSS ↓) Yellow / Blue Background Killzone time blocks for NY or London All shapes are bounded in time and logic — there are no arbitrary plots. ⸻ 📊 Inputs & Settings Explained Input Description Execution Mode (Live / Backtest) Determines whether to run real-time or backtest-friendly calculations Pivot Sensitivity (lookback) Controls how far back to look for pivots — higher values = stronger swing filters Show MSS Toggle to display Market Structure Shift lines and labels Show OB Toggle to display Order Block zones from swing points Show FVG Toggle to visualize Fair Value Gaps as they appear Show Liquidity Zones Displays wick-based buy/sell-side liquidity traps Show BPR Zones Highlights overlapping bullish and bearish FVGs as compression zones Show Killzones Enables session-based background highlighting for NY/London Color Settings Customize each visual element with transparency-controlled colors for OBs, FVGs, MSS lines, liquidity zones, and killzones. ⸻ 🧠 How Traders Can Use Phantom Flow Phantom Flow is not a signal generator. It’s a market narrative visualizer. Here’s how to integrate it into your approach: • OB + FVG = Confluence: Look for fair value gaps forming around order blocks. These often suggest institutional entry zones. • MSS + Liquidity = Trap Setup: Market structure shifts occurring after price taps liquidity often signal reversals or fakeouts. • BPRs = Choke Points: If opposing FVGs compress, expect consolidation or expansion shortly after. • Killzones = Context Windows: Use sessions to filter signal quality. For example, only trade FVGs during the London/NY overlap. This tool works best when layered with: • BOS/CHOCH detection • Premium/Discount logic • Risk-based execution models ⸻ 🧪 Optional Use Case Ideas • Intraday scalping based on NY/London killzone + MSS • Swing trading off HTF OB + LQ zones • Fade or trend-continuation setups using FVGs + BPR • Combine with displacement candles or volume to validate zones
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EdgeXplorer tarafından
Buy Sell Magic Rework A version of the legendary Forex indicator Buy Sell Magic for TradingView, with optional additional filtering in the settings. A simple yet very effective trend-following tool — I personally used it for trading gold 14 years ago, and it still works great today! ✅ Subscribe to my profile to get new useful Pine Script tools soon! 💡 Want a custom version? I can build private Pine Script indicators & strategies tailored exactly for you — scalping signals, trend or reversal strategies, custom filters for crypto, forex, stocks, or any pairs you trade. I can also improve or fix your existing scripts. If you want a unique, high-quality and profitable tool — contact me anytime! 📩 Telegram 👉 t.me
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artemka3091 tarafından
1
OA - RS HistogramOA - RS Histogram Indicator This indicator displays a histogram representation of Relative Strength (RS) analysis, helping traders visualize the momentum relationship between a security and a reference index. Key Features: RS Histogram: Shows the difference between the current RS ratio and its EMA smoothed line Customizable Reference Index: Default set to XU100, but can be changed to any index EMA Smoothing: Adjustable EMA period (default 21) for trend analysis Visual Clarity: Histogram bars are colored aqua for positive values and purple for negative values Zero Line Reference: Dotted gray line for easy identification of positive/negative zones How It Works: The indicator calculates the relative strength by comparing the normalized percentage changes of the current security against the selected reference index. A 5-period EMA is applied to the RS ratio, and then the difference between this smoothed RS line and a longer EMA (default 21 periods) is displayed as a histogram. Technical Calculation: Fetches reference index data with proper gap handling Calculates normalized percentage changes for both security and index Computes relative strength ratio Applies EMA smoothing to reduce noise Displays the difference as a histogram for clear momentum visualization Customization Options: Reference index selection (default: XU100) EMA length adjustment (default: 21 periods) Color customization for positive and negative histogram bars Alert Conditions: Histogram crossing above zero (potential bullish momentum shift) Histogram crossing below zero (potential bearish momentum shift) Usage: This tool helps traders understand relative strength concepts through visual histogram representation. The zero-line crossovers can indicate momentum shifts in the security relative to the chosen benchmark index.
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onurag tarafından
DIVAP RSI by:TMThe DIVAP RSI by:TM is a precision-focused RSI-based indicator designed to identify high-confidence entry and exit points. It uses a faster RSI (length 7) combined with extended levels (20 and 80) to capture momentum reversals at extreme zones. ✅ Green arrows signal entries when RSI crosses above 20 (exit from oversold) ✅ Red arrows signal exits when RSI crosses below 80 (exit from overbought) This minimalist tool is ideal for traders who prefer clean chart setups with clear, timely alerts. 🔧 This is a test version and is actively being improved. Feedback is welcome!
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tomatheus tarafından
Price Ranged FVG📌 Price Ranged FVG Is a clean and efficient tool designed to detect Fair Value Gaps (FVGs) with adjustable filters and structural context. It’s especially useful for traders looking to filter out insignificant gaps and focus on high-probability areas, particularly around swing breaks or structural shifts. 🧠 What is a Fair Value Gap (FVG)? A Fair Value Gap appears when there’s a price imbalance between candles — typically after a strong move — where the market skips over certain price levels without trading there. These zones can act as potential areas for price to return to (mean reversion), or serve as support/resistance depending on market structure. 🔍 FVG Detection Types You can choose between three different detection modes under the "FVG Detection" input: Same Type: Only detects FVGs where the last 3 candles are in the same direction (all bullish or all bearish). All: Detects any FVG, regardless of candle direction. Twin Close: Detects FVGs only when the last two candles are in the same direction and close accordingly — offering a stricter confirmation. 🎯 FVG % Filters To filter out noise or insignificant gaps, this indicator includes: Minimum FVG % Filter: Ignores FVGs smaller than your specified percentage of the current close. Maximum FVG % Filter: Ignores overly large gaps that may be unreliable or caused by anomalies. These filters help focus on relevant FVGs that are more likely to act as reaction zones. 🏛 Structural Context (Swing Highs and Lows) The indicator plots swing highs and swing lows with dots to provide structure-based context: Set Swing Strength to 3 for detecting internal structure (shorter-term moves). Use a higher setting like 5 to focus on external structure (more significant highs/lows). These levels can help you determine whether an FVG is forming within a consolidation, breakout, or key structural transition. ✅ Use Case (My Personal Workflow) I personally use this indicator to: Filter out weak or irrelevant FVGs using the % filters. Watch for price interaction at swing breaks — especially when an FVG aligns with a break in internal or external structure. Refine entry and exit planning in confluence with other tools or strategies. ⚠️ Disclaimer This indicator is not financial advice. It is a technical analysis tool intended to support your own decision-making process. Always do your own research and risk management.
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kurtroelants tarafından
MTF Trend + SMC Structure (EMA/SMA Mix - HH/HL)Objective To provide a quick, visual, and reliable reading of market trends and structure. Combines dynamic moving averages and SMC (market structure) logic. Effectively integrates into the chart via a clear table displayed in the top right corner. 📊 What the indicator displays (by timeframe: M5, M15, M30, H1, H4, D1, W1) 🟢 1. MA Trend Based on two moving averages (short and long). Average Type: EMA for M5 to M30 (reactive) SMA for H1 to Weekly (smoother) Display: 🟢 Up if short MA > long MA 🔴 Down if short MA < long MA Customizable lengths per timeframe 🧱 2. Structure (SMC logic) Detects Higher High / Higher Low and Lower High / Lower Low Based on significant pivots (pivothigh, pivotlow) Logic inspired by SMC swing trading Display: 🟢 Up = bullish structure (HH + HL) 🔴 Down = bearish structure (LH + LL) ⚪ Neutral = no clear structure ✅ Advantages 🔍 Instant view of the overall multi-timeframe context 📉 Combines trend by MA and SMC structure 🎯 Helps filter out bad entries Countertrend ⚡️ Very useful for intraday, swing, or SMC traders
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Tetewou tarafından
1
FutureObitz Official Bank Levels// © 2025 FutureObitz - Custom version for private use This Bank Levels indicator automatically calculates daily high, low, mid, and premium/discount zones using dynamic ranges. Ideal for intraday traders using supply/demand, liquidity concepts, and institutional levels. Labels are cleanly aligned and update once per day for minimal chart clutter. This version was customized for my personal trading style and refined for visual clarity.
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FutureObitz tarafından
GalihRidha ZoneX — Adaptive MTF S&R + Smart Money AreasWelcome to ZoneX: The new frontier of Support & Resistance for modern traders! ZoneX is more than just S&R — it’s a hybrid price map that fuses classic pivots with institutional logic, visualizing the zones that really matter. What Makes ZoneX Different? Multi-Timeframe S&R: Instantly spot the true key levels from higher timeframes, not just what everyone else sees on the current chart. Smart Money Order Blocks: Automatically highlights supply and demand zones where institutions accumulate or distribute — find the real “trap” areas and avoid getting faked out. VWAP Bands: See where the liquidity is thickest — these bands act as magnets for price, great for both reversals and breakouts. Midline Channel: Identify the market’s equilibrium — know when you’re in value and when you’re at the edge. Previous High/Low: Mark institutional magnets and classic stop-hunt zones, updated in real-time. Ultra Customizable: One-click to enable/disable any feature. Clean for minimalists, packed for pros. How to Use ZoneX Breakout? Wait for price to clear a ZoneX band or order block with momentum — enter on the retest. Reversal? Fade wicks and exhaustion right in the highlighted zone — confirm with price action or volume. Range/Balance? Trade the ping-pong between ZoneX midline and outer bands — great for scalping and mean reversion. Who’s It For? Active traders who want an edge beyond standard S&R. Institutional-mindset scalpers and swing traders. Anyone who loves a clean chart but craves real market context. Level up your chart, see what the big players see — and never trade blind again. This is ZoneX.
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galihridha tarafından
1
ADX and DI – Clean Trend IndicatorADX and DI – Clean Trend Indicator helps traders identify trending conditions and the strength of a trend using the classic Average Directional Index (ADX) along with the +DI and -DI directional movement lines. ADX (orange line) shows overall trend strength. +DI (green line) and -DI (red line) reveal bullish or bearish pressure. When ADX is above the threshold (default 25), the background turns green to highlight strong trending conditions — a great time to apply trend-following strategies. This script offers: A visually clean layout Configurable ADX length and strength threshold Automatic background highlighting when strong trends are detected Use this tool to confirm market momentum, avoid sideways chop, and enhance your entry timing for breakout or pullback setups.
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andyk1993 tarafından
EdgeXplorer – VWAP Cloud RunnerEdgeXplorer – VWAP Cloud Runner VWAP Cloud Runner is a high-resolution, percentile-based volume-weighted average price (VWAP) cloud designed to help traders track dynamic price positioning across time-anchored VWAP layers. Unlike traditional single-line VWAPs, this tool offers a complete “cloud system” of rolling anchored VWAPs, statistically evaluated and plotted across multiple quantiles to visualize relative value zones and market bias gradients in real time. Built for traders who depend on volume-informed structure, VWAP Cloud Runner can be used in both trending and ranging environments to identify premium vs. discount conditions, price acceptance, and overbought/oversold behavior — through the lens of aggregated VWAP layers. ⸻ 🔍 What Does VWAP Cloud Runner Do? This indicator computes a user-defined number of rolling anchored VWAPs — each seeded from a recurring anchor period (e.g. every hour, session, or day) — and stores them in memory. From this array of VWAPs, it then calculates statistical percentile levels (Max, High, Median, Low, Min) across the set. Each percentile level reflects where price sits relative to the historical range of VWAPs, rather than raw price alone. The resulting cloud offers: • A contextual map of volume-based fair value, • A way to visually separate trending from reversionary price action, • And a statistically sound framework for mean reversion, breakout filtering, or value zone trades. ⸻ ⚙️ How It Works – Technical Breakdown 1. Anchor Period Selection Every new bar of the selected anchor timeframe triggers the start of a new VWAP instance. Each VWAP is built over time using standard volume * price accumulation and volume division. 2. Rolling VWAP Array The user sets the number of VWAPs (VWAP Count) to track (up to 500). Each VWAP updates in real-time and is stored in an internal array. 3. Percentile Calculation At every new bar: • The indicator performs percentile interpolation on the array of stored VWAPs using TradingView’s array.percentile_linear_interpolation() method. • It extracts 5 key percentile levels (Min, Low, Median, High, Max) and plots them live on the chart. 4. Visual Styling & Optional Enhancements • Lines can be solid or dashed depending on preference. • Gradient fills between percentile bands form the “cloud.” • The script includes smoothing logic to soften fills based on the difference between anchor periods, improving legibility. ⸻ 📈 What Each Visual Component Represents Visual Meaning Max (Green Line) 100th percentile VWAP — the highest anchored VWAP in memory High (Light Gray Line) ~70th percentile — often used to mark premium zones Median (Gray Line) 50th percentile VWAP — midpoint of historical VWAPs Low (Light Gray Line) ~30th percentile — used to gauge discount or acceptance zones Min (Red Line) 0th percentile — lowest VWAP across all tracked anchors Gradient Fills Shaded clouds between max/median and min/median, visually representing value extremes Anchor Highlight A faint gray background briefly appears when a new VWAP is seeded (anchor event) Dashed Styling Optional dashed lines toggle to differentiate levels without distraction Everything on screen is statistically anchored and volume-aware — not arbitrary. ⸻ 📊 Inputs & Settings Explained VWAP Cloud Runner Settings Input Description Anchor Period Determines how often a new VWAP is seeded. Common examples: 15m, 1h, 1D VWAP Source Price source used for VWAP calculation (default: hlc3) VWAP Count Number of rolling VWAPs to store and evaluate. Affects how responsive or stable the cloud is Toggle / Percentile / Width / Color Each of the 5 layers — Max, Upper, Median, Lower, and Min — includes: • Toggle (on/off) • Percentile (editable for custom statistical boundaries) • Line Width • Color This design gives traders full control to custom-tailor the cloud’s resolution and emphasis. Style Options Input Description Use Dashed Lines Adds rhythm to cloud lines by visually breaking up uniform structure Enable Gradient Fill Enables shaded cloud fills between Min–Median and Max–Median Show Anchor Highlight When enabled, highlights the bar where each new VWAP instance is created ⸻ 🧠 How to Interpret VWAP Cloud Runner This tool is built for contextual reading, not explicit signals. Here’s how to interpret what you see: • Price Near Max → Price is at a volume-weighted extreme → possible overextension or trend strength • Price Near Min → Price is deeply discounted relative to recent VWAP history → potential reversion • Price Near Median → Price is in balance → potential for breakout or continuation depending on trend Use VWAP slope and percentile spacing to read the “shape” of price structure: • Tight range between all percentiles → compression, awaiting expansion • Widening gaps → trend formation or volatility burst • Symmetric curve → balanced distribution • Skewed cloud → directional bias forming ⸻ 🧪 Use Cases and Strategy Tips • 🎯 Mean Reversion Strategies: Fade extremes when price touches Max or Min and fails to close beyond • 🛡️ Trend Confirmation: Ride price between High and Max or Low and Min — these zones act as trend channels • 📉 Breakout Filtering: Use percentile gaps to measure conviction — small gaps = low conviction breakout • 💡 Volume Fair Value: Trade only when price is near or reclaims the median VWAP → fair value validation Works seamlessly across assets — whether you’re scalping BTC, swing trading FX pairs, or following trend continuation in equities. ⸻ 🔒 Compliance Notice VWAP Cloud Runner is a data visualization and contextual awareness tool. It does not provide trade signals or advice and should be used in conjunction with your existing strategy and risk parameters. This script is protected under ETAPX Inc. and is proprietary to the EdgeXplorer platform. Redistribution, resale, or any use outside of TradingView without express written permission is strictly prohibited.
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EdgeXplorer tarafından
AV BTC Pi Cycle OscillatorPi Cycle Oscillator The oscillator version of the Pi Cycle Top Indicator. While I have found great differences in scales being used for the oscillator across various sources. The shape of the oscillator line is on the other hand the same across the board. With 2 specific versions. Either using the 111 Day SMA or the 2*350 SMA for division. We allow for both versions. It is possible to select the formula for calculation on the input tab. Either using (111 SMA - 2*350 SMA) / 111 SMA (default) or (111 SMA - 2*350 SMA) / 2*350 SMA . We multiply the result by -100 so that overbought conditions fall at the top of the indicator chart and oversold at the bottom. Everyone has their own idea of the value range. This is no different. For both formulas around 0 is overbought zone, while -200 and -70 are oversold areas. Thresholds are configurable in the input tab. I made an arbitrary choice for the thresholds. If you want to see overbought and oversold areas on the price chart: Enable the Overbought and oversold Overlay area in the style tab. It is disabled by default. Additionally: Pi Cycle Tops are marked with a red circle. ATH tops are marked with yellow diamonds. Grey lines marks halving days.
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avflow tarafından
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs. - The Mathematical Foundation: Pointwise Mutual Information Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context: Event A: Volume spikes occurring (high trading activity) Event B: Price being at specific levels The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B))) Where: P(A,B) = Probability of volume spikes occurring at specific price levels P(A) = Probability of volume spikes occurring anywhere P(B) = Probability of price being at specific levels High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones. - Why PMI Outperforms Traditional Methods Subjective interpretation: What one trader sees as significant, another might ignore Confirmation bias: Tendency to see patterns that confirm existing beliefs Inconsistent criteria: No standardized definition of "significant" volume or price action Static analysis: Doesn't adapt to changing market conditions No strength measurement: Can't quantify how "strong" a level truly is PMI Advantages: ✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork ✅ Statistical Rigor: Levels backed by information theory and probability ✅ Strength Scoring: PMI scores rank levels by statistical significance ✅ Adaptive: Automatically adjusts to different market volatility regimes ✅ Eliminates Bias: Computer-calculated, removing human interpretation errors ✅ Market Structure Aware: Reveals the underlying order flow concentrations - How It Works Data Processing Pipeline: Volume Analysis: Identifies volume spikes using configurable thresholds Price Binning: Divides price range into discrete levels for analysis Co-occurrence Calculation: Measures how often volume spikes happen at each price level PMI Computation: Calculates statistical significance for each price level Level Filtering: Shows only levels exceeding minimum PMI thresholds Dynamic Updates: Refreshes levels periodically while maintaining historical traces Visual System: Current Levels: Bright, thick lines with PMI scores - your actionable levels Historical Traces: Faded previous levels showing market structure evolution Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted) Color Coding: Green for support, red for resistance Info Table: Real-time display of strongest levels with scores - Indicator Settings: Core Parameters Lookback Period (Default: 200) Lower (50-100): More responsive to recent price action, catches short-term levels Higher (300-500): Focuses on major historical levels, more stable but less responsive Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500) Volume Spike Threshold (Default: 1.5) Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3) Price Bins (Default: 50) Lower (20-30): Broader price zones, less precise but captures wider areas Higher (70-100): More granular levels, precise but may be overly specific Volatility dependent: High volatility assets benefit from more bins (70+) Minimum PMI Score (Default: 0.5) Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view Higher (1.0-2.0): Only statistically strong levels, cleaner chart Progressive filtering: Start with 0.5, increase if too cluttered Max Levels to Show (Default: 8) Fewer (3-5): Clean chart focusing on strongest levels only More (10-15): Comprehensive view but may clutter chart Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12) Historical Tracking Settings Update Frequency (Default: 20 bars) Lower (5-10): More frequent updates, captures rapid market changes Higher (50-100): Less frequent updates, focuses on major structural shifts Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+) Show Historical Levels (Default: True) Enables the "breadcrumb trail" effect showing evolution of support/resistance Disable for cleaner charts focusing only on current levels Max Historical Marks (Default: 50) Lower (20-30): Less memory usage, shorter history Higher (100-200): Longer historical context but more resource intensive Fade Strength (Default: 0.8) Lower (0.5-0.6): Historical levels more visible Higher (0.9-0.95): Historical levels very subtle Visual Settings Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level - Most Effective Usage Strategies For Day Trading: Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15 Use PMI levels as bounce/rejection points for scalp entries Higher PMI scores (>1.5) offer better probability setups Watch for volume spike confirmations at levels For Swing Trading: Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30 Enter on pullbacks to high PMI support levels Target next resistance level with PMI score >1.0 Hold through minor levels, exit at major PMI levels For Position Trading: Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+ Focus on PMI scores >2.0 for major structural levels Use for portfolio entry/exit decisions Combine with fundamental analysis for timing - Trading Applications: Entry Strategies: PMI Bounce Trades Price approaches high PMI support level (>1.0) Wait for volume spike confirmation (orange triangles) Enter long on bullish price action at the level Stop loss just below the PMI level Target: Next PMI resistance level PMI Breakout Trades Price consolidates near high PMI level Volume increases (watch for orange triangles) Enter on decisive break with volume Previous resistance becomes new support Target: Next major PMI level PMI Rejection Trades Price approaches PMI resistance with momentum Watch for rejection signals and volume spikes Enter short on failure to break through Stop above the PMI level Target: Next PMI support level Risk Management: Stop Loss Placement Place stops 0.1-0.5% beyond PMI levels (adjust for volatility) Higher PMI scores warrant tighter stops Use ATR-based stops for volatile assets Position Sizing Larger positions at PMI levels >2.0 (highest conviction) Smaller positions at PMI levels 0.5-1.0 (lower conviction) Scale out at multiple PMI targets - Key Warning Signs & What to Watch For Red Flags: 🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading 🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale 🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning 🚨 Outdated Levels: Historical traces are reference only, not tradeable Optimization Tips: ✅ Regular Recalibration: Adjust parameters monthly based on market regime changes ✅ Volume Context: Always check for recent volume activity at PMI levels ✅ Multiple Timeframes: Confirm PMI levels across different timeframes ✅ Market Conditions: Higher thresholds during high volatility periods Interpreting PMI Scores PMI Score Ranges: 0.5-1.0: Moderate statistical significance, proceed with caution 1.0-1.5: Good significance, reliable for most trading strategies 1.5-2.0: Strong significance, high-confidence trade setups 2.0+: Very strong significance, institutional-grade levels Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
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EdgeTerminal tarafından
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool) 📄 Description: This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure. Features: • Draws a box around the first 18 bars of the RTH session • Displays the total range as a label (optional) • Fully customizable box color and transparency Intended Use: This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session. Tight opening range may suggest range expansion Wide opening range may indicate reduced movement or reversal risk This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
Pine Script® göstergesi
Zen_Trading_Tech tarafından
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart. Key Features: Actionable Next Signal: Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure). Dynamic TP/SL Calculation: Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR). Vertical Dashboard Layout: Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use. Live "Capturing" Status: When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade. Buffered Signal Logic: Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence. Zero Lag, Mobile Ready: Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes. No repaint, no lagging, pure price action + volatility logic. How to Use: Add to Chart Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe. Watch the Dashboard 1 minute before the close of each 5-minute candle, the "Next Signal" section will activate. "Capturing..." status (with animated dots) means a new entry signal is forming. Use the suggested Entry, TP Range, and SL for your scalping strategy. Follow the Signal When "Next Signal" appears, you have 1 minute to enter the trade if desired. After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management. Mobile Friendly The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView. No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."! Best Practice & Tips: For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets. Combine with your own risk management and execution strategy for maximum performance. This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation. Why This Indicator? Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets. This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible. Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
Pine Script® göstergesi
galihridha tarafından
VDN 6 - Dual MACD Strategy (TP:20 / SL:10)This strategy uses a dual MACD crossover confirmation system with two different parameter sets: • MACD(12, 26, 8) – Standard • MACD(13, 34, 9) – Fibonacci-based A trade is opened only when both MACDs give the same signal (buy or sell) simultaneously. Take Profit is fixed at 20 points and Stop Loss at 10 points per trade. This setup is optimized for scalping or short-term trend continuation. Lot size is set to 1 by default.
Pine Script® stratejisi
vidinozyer tarafından
Staccked SMA - Regime Switching & Persistance StatisticsThis indicator is designed to identify the prevailing market regime by analyzing the behavior of a "stack" of Simple Moving Averages (SMAs). It helps you understand whether the market is currently trending, mean-reverting, or moving randomly. Core Concept: SMA Correlation At its heart, the indicator examines the relationship between a set of nine SMAs with different lengths (3, 5, 8, 13, 21, 34, 55, 89, 144) and the lengths themselves. In a strong trending market (either up or down), the SMAs will be neatly "stacked" in order of their length. The shortest SMA will be furthest from the longest SMA, creating a strong, almost linear visual pattern. When we measure the statistical correlation between the SMA values and their corresponding lengths, we get a value close to +1 (perfect uptrend stack) or -1 (perfect downtrend stack). The absolute value of this correlation will be very high (close to 1). In a mean-reverting or sideways market, the SMAs will be tangled and crisscrossing each other. There is no clear order, and the relationship between an SMA's length and its price value is weak. The correlation will be close to 0. This indicator calculates this Pearson correlation on every bar, giving a continuous measure of how ordered or "trendy" the SMAs are. An absolute correlation above 0.8 is considered strongly trending, while a value between 0.4 and 0.8 suggests a mean-reverting character. Below 0.4, the market is likely random or choppy. Regime Classification and Statistics The indicator doesn't just look at the current correlation; it analyzes its behavior over a user-defined lookback window (default is 252 bars) to classify the overall market "regime." It presents its findings in a clear table: 📊 |SMA Correlation| Regime Table: This main table provides a snapshot of the current market character. Median: Shows the median absolute correlation over the lookback period, giving a central tendency of the market's behavior. % > 0.80: The percentage of time the market was in a strong trend during the lookback period. % < 0.80 & > 0.40: The percentage of time the market showed mean-reverting characteristics. 🧠 Regime: The final classification. It's labeled "📈 Trend-Dominant" if the median correlation is high and it has spent a significant portion of the time trending. It's labeled "🔄 Mean-Reverting" if the median is in the middle range and it has spent significant time in that state. Otherwise, it's considered "⚖️ Random/ Choppy". 📐 Regime Significance: This tells you how statistically confident you can be in the current regime classification, using a Z-score to compare its occurrence against random chance. ⭐⭐⭐ indicates high confidence (99%), while "❌ Not Significant" means the pattern could be random. Regime Transition Probabilities Optionally, a second table can be displayed that shows the historical probability of the market transitioning from one regime to another over different time horizons (t+5, t+10, t+15, and t+20 bars). 📈 → 🔄 → ⚖️ Transition Table: This table answers questions like, "If the market is trending now (From: 📈), what is the probability it will be mean-reverting (→ 🔄) in 10 bars?" This provides powerful insights into the market's cyclical nature, helping you anticipate future behavior based on past patterns. For example, you might find that after a period of strong trending, a transition to a choppy state is more likely than a direct switch to a mean-reverting Indicator Settings Lookback Window for Regime Classification: This sets the number of recent bars (default is 252) the script analyzes to determine the current market regime (Trending, Mean-Reverting, or Random). A larger number provides a more stable, long-term view, while a smaller number makes the classification more sensitive to recent price action. Show Regime Transition Table: A simple toggle (on/off) to show or hide the table that displays the probabilities of the market switching from one regime to another. Lookback Offset for Starting Regime: This determines the "starting point" in the past for calculating regime transitions. The default is 20 bars ago. The script looks at the regime at this point and then checks what it became at later points. Step 1, 2, 3, 4 Offset (bars): These define the future time intervals (5, 10, 15, and 20 bars by default) for the transition probability table. For example, the script checks the regime at the "Lookback Offset" and then sees what it transitioned to 5, 10, 15, and 20 bars later. Significance Filter Settings Use Regime Significance Filter: When enabled, this filter ensures that the regime transition statistics only count transitions that were "statistically significant." This helps to filter out noise and focus on more reliable patterns. Min Stars Required (1=90%, 2=95%, 3=99%): This sets the minimum confidence level required for a regime to be included in the transition statistics when the significance filter is on. 1 ⭐: Requires at least 90% confidence. 2 ⭐⭐: Requires at least 95% confidence (default). 3 ⭐⭐⭐: Requires at least 99% confidence.
Pine Script® göstergesi
federalTacos5392b tarafından
7
EMA-Pack MTFEMA-Pack MTF This TradingView Pine Script defines a custom indicator called "EMA-Pack MTF" that overlays various types of moving averages and Bollinger Bands across multiple timeframes on a chart. It begins by importing the built-in technical analysis library and defining a custom ma function that calculates several types of moving averages (SMA, EMA, TEMA, DEMA, HMA, and ALMA) based on user input. The ema function is the core logic, retrieving market data for the specified timeframe and calculating fast, mid, slow, 50, 100, and 200-period moving averages along with Bollinger Band components (basis, upper, and lower bands). The function adjusts values to the nearest valid price tick and returns them. User input fields allow customization of timeframes, source data, moving average types, and Bollinger Band parameters. The script calls the ema function for each selected timeframe (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day), storing their respective computed values. It then plots the calculated moving averages and Bollinger Band basis lines on the chart, using different colors and line widths to distinguish between them. Some plots are hidden by default (display.none) to reduce chart clutter. This script is useful for multi-timeframe trend analysis using customizable moving averages and Bollinger Bands.
Pine Script® göstergesi
veegee82 tarafından