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67 2.0Major Market Trading Hours New York Stock Exchange (NYSE) Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) Nasdaq Open: 9:30 AM (ET) Close: 4:00 PM (ET) Pre-Market: 4:00 AM – 9:30 AM (ET) After Hours: 4:00 PM – 8:00 PM (ET) London Stock Exchange (LSE) Open: 8:00 AM (GMT) Close: 4:30 PM (GMT) Tokyo Stock Exchange (TSE) Open: 9:00 AM (JST) Lunch Break: 11:30 AM – 12:30 PM (JST) Close: 3:00 PM (JST) Hong Kong Stock Exchange (HKEX) Open: 9:30 AM (HKT) Lunch Break: 12:00 PM – 1:00 PM (HKT) Close: 4:00 PM (HKT)
مؤشر Pine Script®
من ‎nyzilakos‎
Buffett Quality Filter (TTM)//@version=6 indicator("Buffett Quality Filter (TTM)", overlay = true, max_labels_count = 500) // 1. Get financial data (TTM / FY / FQ) // EPS (TTM) for P/E eps = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC", "TTM") // Profitability & moat (annual stats) roe = request.financial(syminfo.tickerid, "RETURN_ON_EQUITY", "FY") roic = request.financial(syminfo.tickerid, "RETURN_ON_INVESTED_CAPITAL", "FY") // Margins (TTM – rolling 12 months) grossMargin = request.financial(syminfo.tickerid, "GROSS_MARGIN", "TTM") netMargin = request.financial(syminfo.tickerid, "NET_MARGIN", "TTM") // Balance sheet safety (quarterly) deRatio = request.financial(syminfo.tickerid, "DEBT_TO_EQUITY", "FQ") currentRat = request.financial(syminfo.tickerid, "CURRENT_RATIO", "FQ") // Growth (1-year change, TTM) epsGrowth1Y = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC_ONE_YEAR_GROWTH", "TTM") revGrowth1Y = request.financial(syminfo.tickerid, "REVENUE_ONE_YEAR_GROWTH", "TTM") // Free cash flow (TTM) and shares to build FCF per share for P/FCF fcf = request.financial(syminfo.tickerid, "FREE_CASH_FLOW", "TTM") sharesOut = request.financial(syminfo.tickerid, "TOTAL_SHARES_OUTSTANDING", "FQ") fcfPerShare = (not na(fcf) and not na(sharesOut) and sharesOut != 0) ? fcf / sharesOut : na // 2. Valuation ratios from price pe = (not na(eps) and eps != 0) ? close / eps : na pFcf = (not na(fcfPerShare) and fcfPerShare > 0) ? close / fcfPerShare : na // 3. Thresholds (Buffett-style, adjustable) minROE = input.float(15.0, "Min ROE %") minROIC = input.float(12.0, "Min ROIC %") minGM = input.float(30.0, "Min Gross Margin %") minNM = input.float(8.0, "Min Net Margin %") maxDE = input.float(0.7, "Max Debt / Equity") minCurr = input.float(1.3, "Min Current Ratio") minEPSG = input.float(8.0, "Min EPS Growth 1Y %") minREVG = input.float(5.0, "Min Revenue Growth 1Y %") maxPE = input.float(20.0, "Max P/E") maxPFCF = input.float(20.0, "Max P/FCF") // 4. Individual conditions cROE = not na(roe) and roe > minROE cROIC = not na(roic) and roic > minROIC cGM = not na(grossMargin) and grossMargin > minGM cNM = not na(netMargin) and netMargin > minNM cDE = not na(deRatio) and deRatio < maxDE cCurr = not na(currentRat) and currentRat > minCurr cEPSG = not na(epsGrowth1Y) and epsGrowth1Y > minEPSG cREVG = not na(revGrowth1Y) and revGrowth1Y > minREVG cPE = not na(pe) and pe < maxPE cPFCF = not na(pFcf) and pFcf < maxPFCF // 5. Composite “Buffett Score” (0–10) – keep it on ONE line to avoid line-continuation errors score = (cROE ? 1 : 0) + (cROIC ? 1 : 0) + (cGM ? 1 : 0) + (cNM ? 1 : 0) + (cDE ? 1 : 0) + (cCurr ? 1 : 0) + (cEPSG ? 1 : 0) + (cREVG ? 1 : 0) + (cPE ? 1 : 0) + (cPFCF ? 1 : 0) // Strictness minScoreForPass = input.int(7, "Min score to pass (0–10)", minval = 1, maxval = 10) passes = score >= minScoreForPass // 6. Visuals bgcolor(passes ? color.new(color.green, 80) : na) plot(score, "Buffett Score (0–10)", color = color.new(color.blue, 0)) // Info label on last bar var label infoLabel = na if barstate.islast if not na(infoLabel) label.delete(infoLabel) infoText = str.format( "Buffett score: {0} ROE: {1,number,#.0}% | ROIC: {2,number,#.0}% GM: {3,number,#.0}% | NM: {4,number,#.0}% P/E: {5,number,#.0} | P/FCF: {6,number,#.0} D/E: {7,number,#.00} | Curr: {8,number,#.00}", score, roe, roic, grossMargin, netMargin, pe, pFcf, deRatio, currentRat) infoLabel := label.new(bar_index, high, infoText, style = label.style_label_right, color = color.new(color.black, 0), textcolor = color.white, size = size.small)
مؤشر Pine Script®
من ‎kgdholu‎
Bitcoin Buy Signal D/WThis is a Bitcoin buy-signal indicator, very simple to use: It only works on daily and weekly timeframes. When the Tulu line is above the Hani line, and the price moves back into the Tulu–Hani range, it’s a good buying opportunity. When the Tulu line is below the Hani line, it’s better to wait for the price to return to Tromsø before buying. Whenever the price is below Tromsø , it’s always a good time to buy. Candles that meet these conditions are highlighted in bright yellow to make them easy to spot. To the moon! 🚀
مؤشر Pine Script®
من ‎juanaurich‎
MTF VWAP Resonance [By Testeded]📈 MTF VWAP Resonance Hunter (多级别 VWAP 共振捕猎者 - 终极版) 🇬🇧 English Description 1. Design Philosophy: The Institutional Edge While typical indicators measure simple price action, VWAP (Volume Weighted Average Price) measures Value and Institutional Cost. Professional traders and algorithms anchor their decisions to time-based benchmarks: Daily, Weekly, Monthly, and Quarterly. When prices return to these levels, they are testing the average cost basis of the market participants from that period. The Logic of "Multi-Level Resonance" (MTF): A single VWAP line can be broken. However, when the Daily VWAP, Weekly Upper Band, and Quarterly Basis all overlap at the exact same price level, a "Market Consensus" is formed. This tool uses a background algorithm to detect these overlaps across 6 Timeframes (4H to Year) and visualizes them as "Resonance Boxes" instead of cluttering your chart with lines. 2. Key Features ⚓ Anchored VWAP Engine: Calculates VWAP + Standard Deviation Bands for 4H, Daily, Weekly, Monthly, Quarterly, and Yearly cycles simultaneously. ⚡ Smart Resonance Radar: Automatically detects when levels from different timeframes cluster together. 2-Line Confluence: ⚡ (Watch) 3-Line Confluence: ⚡⚡ (Strong) 4+ Line Confluence: ⚡⚡⚡ (Iron Wall) 🧘 Visual Modes (Zen / Focus): Full Mode: Shows lines, dashboard, and resonance boxes. Focus Mode: Hides lines, keeps dashboard and boxes. Zen Mode: Hides EVERYTHING except the Resonance Boxes. Pure price action. 🏢 The Quarterly Line: Specifically designed to track the Quarterly VWAP, a critical level for institutional rebalancing and earnings cycles. 🎨 Customizable UI: Adjustable table text size (Small to Huge) and display styles. 3. How to Trade Identify the Wall: Look for Red Boxes (Resistance) or Green Boxes (Support) with high star ratings (⚡⚡). Read the Dashboard: Check the label (e.g., Q VWAP + W Lower). This tells you exactly who is defending this level (e.g., "Quarterly Buyers defending cost"). Sniper Entry: Wait for price to touch the Resonance Box. These levels often trigger sharp reversals or major breakouts. 🇨🇳 中文说明 (Chinese Description) 1. 设计哲学：多级别的全局视角 布林带反映的是波动率，而 VWAP（成交量加权平均价） 反映的是**“真金白银的持仓成本”**。 机构交易者和算法通常会锚定特定的时间周期进行交易：日内、周线、月线以及季度线。 “多级别共振”的逻辑： 单一周期的 VWAP 很容易失效。但是，当 日线 VWAP、周线上轨 和 季度线成本 在同一个价格位置重叠时，意味着短线、中线和长线资金在此处达成了**“价值共识”。 本指标通过后台算法，同时监控 6个时间周期 (4H - 年线)，将这些重叠的价位转化为可视化的“共振框”**，提供一个多级别的全局视角。 2. 核心功能 ⚓ 全周期锚定 VWAP：后台实时计算 4H, 日线, 周线, 月线, 季度线, 年线 的 VWAP 及其标准差轨道。 ⚡ 智能共振雷达：自动检测不同周期的关键位重叠。 2线共振：⚡ (关注) 3线共振：⚡⚡ (强力支撑/阻力) 4线以上：⚡⚡⚡ (核弹级/铁壁共振) 🧘 显示模式 (Zen / Focus)： 全面模式：显示所有线条 + 表格 + 共振框。 专注模式：隐藏线条，保留表格 + 共振框。 极简模式 (Zen)：隐藏一切干扰，只显示共振框。像狙击手一样只看目标。 🏢 季度线增强：特别加入了 Quarterly VWAP (季度线)，这是机构季末调仓和财报周期的重要防守线。 🎨 高度客制化：支持调整表格文字大小（从“小”到“巨大”），适配各种分辨率屏幕。 3. 实战用法 寻找“墙壁”：关注图表上的 红色共振框 (阻力) 或 绿色共振框 (支撑)，尤其是带有 ⚡⚡ 标志的区域。 解读筹码：看一眼右上角的仪表盘标签（例如 Q VWAP + W Lower）。这意味着“季度级别的平均成本”与“周线级别的超卖线”重合，支撑力度极强。 警报交易：开启警报功能。不需要盯着屏幕，当价格撞上共振框时，指标会自动通知你。
مؤشر Pine Script®
من ‎AAAAAA2020‎
Dual TF Bearish Divergence (Working)//@version=6 indicator("Dual TF Bearish Divergence (Working)", overlay=true) // ----------------- SIMPLE BEARISH DIVERGENCE FUNCTION ------------------- bearDiv(src, rsiLen, lookbackMin, lookbackMax) => r = ta.rsi(src, rsiLen) ph = ta.pivothigh(src, lookbackMin, lookbackMin) ph_rsi = ta.pivothigh(r, lookbackMin, lookbackMin) ph2 = ph ph2_rsi = ph_rsi priceHH = not na(ph) and not na(ph2) and ph > ph2 rsiLH = not na(ph_rsi) and not na(ph2_rsi) and ph_rsi < ph2_rsi barsOk = lookbackMin >= lookbackMin and lookbackMin <= lookbackMax priceHH and rsiLH and barsOk // ----------------- TF CALLS ------------------- b60 = request.security(syminfo.tickerid, "60", bearDiv(close, 14, 10, 15)) b240 = request.security(syminfo.tickerid, "240", bearDiv(close, 14, 10, 15)) dual = b60 and b240 // ----------------- PLOT ------------------- plotshape(dual, title="Dual Bear Div", style=shape.labeldown, color=color.red, size=size.small, text="🔻BearDiv") // ----------------- ALERT ------------------- alertcondition(dual, "Dual Bearish Div 60+240", "Bearish Divergence on both 60m & 240m")
مؤشر Pine Script®
من ‎primantkumarmishra‎
SMC Statistical Liquidity Walls [PhenLabs]📊 SMC Statistical Liquidity Walls Version: PineScript™ v6 📌 Description The SMC Statistical Liquidity Walls indicator is designed to visualize market volatility and potential reversal zones using advanced statistical modeling. Unlike traditional Bollinger Bands that use simple lines, this script utilizes an “Inverted Sigmoid” opacity function to create a “fog of war” effect. This visualizes the density of liquidity: the further price moves from the equilibrium (mean), the “harder” the liquidity wall becomes. This tool solves the problem of over-trading in low-probability areas. By automatically mapping “Premium” (Resistance) and “Discount” (Support) zones based on Standard Deviation (SD), traders can instantly see when price is overextended. The result is a clean, intuitive overlay that helps you identify high-probability mean reversion setups without cluttering your chart with manual drawings. 🚀 Points of Innovation Inverted Sigmoid Logic: A custom mathematical function maps Standard Deviation to opacity, creating a realistic “wall” density effect rather than linear gradients. Dynamic “Solidity”: The indicator is transparent at the center (Equilibrium) and becomes visually solid at the edges, mimicking physical resistance. Separated Directional Bias: distinct Red (Premium) and Green (Discount) coding helps SMC traders instantly recognize expensive vs. cheap pricing. Smart “Safe” Deviation: Includes fallback logic to handle calculation errors if deviation hits zero, ensuring the indicator never crashes during data gaps. 🔧 Core Components Basis Calculation: Uses a Simple Moving Average (SMA) to determine the market’s equilibrium point. Standard Deviation Zones: Calculates 1SD, 2SD, and 3SD levels to define the statistical extremes of price action. Sigmoid Alpha Calculation: Converts the SD distance into a transparency value (0-100) to drive the visual gradient. 🔥 Key Features Automated Premium/Discount Zones: Red zones indicate overbought (Premium) areas; Green zones indicate oversold (Discount) areas. Customizable Density: Users can adjust the “Steepness” and “Midpoint” of the sigmoid curve to control how fast the walls become solid. Integrated Alerts: Built-in alert conditions trigger when price hits the “Solid” wall (2SD or higher), perfect for automated trading or notifications. Visual Clarity: The center of the chart remains clear (high transparency) to keep focus on price action where it matters most. 🎨 Visualization Equilibrium Line: A gray line representing the mean price. Gradient Fills: The space between bands fills with color that increases in opacity as it moves outward. Premium Wall: Upper zones fade from transparent red to solid red. Discount Wall: Lower zones fade from transparent green to solid green. 📖 Usage Guidelines Range Period: Default 20. Controls the lookback period for the SMA and Standard Deviation calculation. Source: Default Close. The price data used for calculations. Center Transparency: Default 100 (Clear). Controls how transparent the middle of the chart is. Edge Transparency: Default 45 (Solid). Controls the opacity of the outermost liquidity wall. Wall Steepness: Default 2.5. Adjusts how aggressively the gradient transitions from clear to solid. Wall Start Point: Default 1.5 SD. The deviation level where the gradient shift begins to accelerate. ✅ Best Use Cases Mean Reversion Trading: Enter trades when price hits the solid 2SD or 3SD wall and shows rejection wicks. Take Profit Targets: Use the Equilibrium (Gray Line) as a logical first target for reversal trades. Trend Filtering: Do not initiate new long positions when price is deep inside the Red (Premium) wall. ⚠️ Limitations Lagging Nature: As a statistical tool based on Moving Averages, the walls react to past price data and may lag during sudden volatility spikes. Trending Markets: In strong parabolic trends, price can “ride” the bands for extended periods; mean reversion should be used with caution in these conditions. 💡 What Makes This Unique Physics-Based Visualization: We treat liquidity as a physical barrier that gets denser the deeper you push, rather than just a static line on a chart. 🔬 How It Works Step 1: The script calculates the mean (SMA) and the Standard Deviation (SD) of the source price. Step 2: It defines three zones above and below the mean (1SD, 2SD, 3SD). Step 3: The custom `get_inverted_sigmoid` function calculates an Alpha (transparency) value based on the SD distance. Step 4: Plot fills are colored dynamically, creating a seamless gradient that hardens at the extremes to visualize the “Liquidity Wall.” 💡 Note For best results, combine this indicator with Price Action confirmation (such as pin bars or engulfing candles) when price touches the solid walls.
مؤشر Pine Script®
من ‎PhenLabs‎
Discipline Box Trader — by chaitu50cDiscipline Box Trader — by chaitu50c is a rule-based price action tool built around alternating candle structures. For each session, the indicator detects FIRST key alternating zone, marks it as a gray “Discipline Box”, and then tracks how price breaks and rotates through that zone with clear green/red segments. The idea is simple: The script continuously looks for alternating candle sequences: Red → Green → Red → Green … or Green → Red → Green → Red … When the sequence reaches your minimum required length (Min candles in alternate combo), it: Finds the highest high and lowest low of that entire alternation combo. Draws a gray rectangular box from the start of the combo to its end. This gray region is named the “Discipline Box”. After this Discipline Box is created: Upside breakout → close > box high Downside breakout → close < box low For example if, Upside Breakout → Green Regime Segment The gray box is visually closed at the previous bar. A new green box segment starts from the breakout bar. Box fill, border, and center line all turn green. This green segment extends to the right until another breakout flips the regime. There is a small visible gap between the gray box and the new coloured segment, clearly showing where the breakout actually occurred. Within the same session, price may: Break up → green segment. Later break down through the same band → red segment. Possibly flip again. All of this happens inside the one original Discipline Box, giving a clean visual map of who is in control now without creating new zones. Reset Mode None No automatic reset; box can persist across all data. New Day At each new trading day: Current box and center line are closed. All internal counters reset. A completely fresh Discipline Box can form for the new day. Gap Minutes If time between candles exceeds Gap Threshold (minutes): Treat this as a session break. Close the current box and restart detection after the gap. This ensures clarity and separation between sessions and prevents overlapping “old” structure from dominating new market conditions. Trading Framework: 2 Trades per Discipline Box ⚠️ This is not financial advice. This is a structured usage idea to support discipline. A suggested trading framework to pair with this indicator: Trade 1 — First Breakout Trade Wait for the first body-based breakout from the Discipline Box: Upside breakout → consider a single long trade. Downside breakout → consider a single short trade. Use the box high, low, and midline as reference points for: Stop placement, partial exits, or risk-reward zones. Trade 2 — Opposite Regime Flip If price later breaks the opposite side of the same box: Consider exactly one more trade in the new direction (a failed breakout / reversal play). Example: green regime first, later broken down into red → potential short trade. After these maximum 2 trades per Discipline Box, you can: Skip additional trades inside that session’s structure. Wait patiently for the next session and next Discipline Box to form. This hard rule helps avoid over-trading, revenge trades, and emotional interference — staying faithful to the “Discipline” theme. The indicator has a built-in alert condition: Discipline Box Detected Triggers Whenever a new gray Discipline Box is created (i.e., the first valid alternation zone for that session). Practical Notes & Disclaimer The indicator does not tell you when to buy or sell; it simply: Marks a disciplined structure zone. Shows live regime shifts (green/red). Supports a clear “max 2 trades per box” framework. Use on a demo first, adapt to your style, and always remember: Your discipline matters more than the indicator.
مؤشر Pine Script®
من ‎chaitu50c‎
VB-MainLiteVB-MainLite – v1.0 Initial Release Overview VB-MainLite is a consolidated market-structure and execution framework designed to streamline decision-making into a single chart-level view. The script combines multi-timeframe trend, volatility, volume, and liquidity signals into one cohesive visual layer, reducing indicator clutter while preserving depth of information for active traders. Core Architecture Trend Backbone – EMA 200 Dedicated EMA 200 acts as the primary trend filter and higher-timeframe bias reference. Serves as the “spine” of the system for contextualizing all secondary signals (swings, reversals, volume events, etc.). Custom MA Suite (Envelope Ready) Four configurable moving averages with flexible source, length, and smoothing. Default configuration (preset idea: “8/89 Envelope”): MA #1: EMA 8 on high MA #2: EMA 8 on low MA #3: EMA 89 on high MA #4: EMA 89 on low All four are disabled by default to keep the chart minimal. Users can toggle them on from the Custom MAs group for envelope or cloud-style configurations. Nadaraya–Watson Smoother (Swing Framework) Gaussian-kernel Nadaraya–Watson regression applied to price (hl2) to build a smooth synthetic curve. Two layers of functionality: Swing labels (▲ / ▼) at inflection points in the smoothed curve. Optional curve line that visually tracks the turning structure over the last ~500 bars. Designed to surface early swing potential before standard MAs react. Hull Moving Average (Trend Overlay) Optional Hull MA (HMA) for faster trend visualization. Color-coded by slope (buy/sell bias). Default: off to prevent overloading the chart; can be enabled under Hull MA settings. Momentum, Exhaustion & Pattern Engine CCI-Based Bar Coloring CCI applied to close with configurable thresholds. Overbought / oversold CCI zones map directly into candle coloring to visually highlight short-term momentum extremes. RSI Top / Bottom Exhaustion Finder RSI logic applied separately to high-driven (tops) and low-driven (bottoms) sequences. Plots: Top arrows where high-side RSI stretches into high-risk territory. Bottom arrows where low-side RSI indicates exhaustion on the downside. Useful as confluence around the Nadaraya swing turns and EMA 200 regime. Engulfing + MA Trend Engine (“Fat Bull / Fat Bear”) Detects bullish and bearish engulfing patterns, then combines them with MA trend cross logic. Only when both pattern and MA regime align does the engine flag: Fat Bull (Engulf + MA aligned long) Fat Bear (Engulf + MA aligned short) Candles are marked via conditional barcolor to highlight strong, structured shifts in control. Fat Finger Detection (Wick Spikes / Stop Runs) Identifies abnormal wick extensions relative to the prior bar’s body range with configurable tolerance. Supports detection of potential liquidity grabs, stop runs, or “excess” that may precede reversals or mean-reversion behavior. Volume & Liquidity Intelligence Bull Snort (Aggressive Buy Spikes) Flags events where: Volume is significantly above the 50-period average, and Price closes in the upper portion of the bar and above prior close. Plots a labeled marker below the bar to indicate aggressive upside initiative by buyers. Pocket Pivots (Accumulation Flags) Compares current volume vs prior 10 sessions with a filter on prior “up” days. Highlights pocket pivot days where current green candle volume outclasses recent down-day volumes, suggesting stealth accumulation. Delta Volume Core (Directional Volume by Price) Internal volume-by-price style engine over a user-defined lookback. Splits volume into up-close and down-close buckets across dynamic price bins. Feeds into S&R and ICT zone logic to quantify where buying vs selling pressure built up. Structural Context: S&R and ICT Zones S&R Power Channel Computes local high/low band over a configurable lookback window. Renders: Upper and lower S&R channel lines. Shaded support / resistance zones using boxes. Adds Buy Power / Sell Power metrics based on the ratio of up vs down bars inside the window, displayed directly in the zone overlays. Drops ◈ markers where price interacts dynamically with the top or bottom band, highlighting reaction points. ICT-Style Premium / Discount & Macro Zones Two tiered structures: Local Premium / Discount zones over a shorter SR window. Macro Premium / Discount zones over a longer macro window. Each zone: Uses underlying directional volume to annotate accumulation vs distribution bias. Provides Delta Volume Bias shading in the mid-band region, visually encoding whether local power flows are net-buying or net-selling. Enables traders to quickly see whether current trade location is in a local/macro discount or premium context while still respecting volume profile. Positioning Intelligence: PCD (Stocks) Position Cost Distribution (PCD) – Stocks Only Available for stock symbols on intraday up to daily timeframe (≤ 1D). Uses: TOTAL_SHARES_OUTSTANDING fundamentals, Daily OHLCV snapshot, and A bucketed distribution engine to approximate cost basis distribution across price. Outputs: Horizontal “PCD bars” to the right of current price, density-scaled by estimated share concentration. Color-coding by profitability relative to current price (profitable vs unprofitable positions). Labels for: Current price Average cost Profit ratio (share % below current price) 90% cost range 70% cost range Range overlap as a measure of clustering / concentration. Multi-Timeframe Trend: Two-Pole Gaussian Dashboard Two-Pole Gaussian Filter (Line + Cloud) Smooths a user-selected source (default: close) using a two-pole Gaussian filter with tunable alpha. Plots: A thin Gaussian trend line, and A thick Gaussian “cloud” line with transparency, colored by slope vs past (offsetG). Functions as a responsive trend backbone that is more sensitive than EMA 200 but less noisy than raw price. Multi-Timeframe Gaussian Dashboard Evaluates Gaussian trend direction across up to six timeframes (e.g., 1H / 2H / 4H / Daily / Weekly). Renders a compact bottom-right table: Header: symbol + overall bias arrow (up / down) based on average trend alignment. Row of colored cells per timeframe (green for uptrend, magenta for downtrend) with human-readable TF labels (e.g., “60M”, “4H”, “1D”). Gives an immediate read on whether intraday, swing, and higher-timeframe flows are aligned or fragmented. Default Configuration & Usage Guidance Default state after adding the script: Enabled by default: EMA 200 trend backbone Nadaraya–Watson swing labels and curve CCI bar coloring RSI top/bottom arrows Fat Bull / Fat Bear engine Bull Snort & Pocket Pivots S&R Power Channel ICT Local + Macro zones Two-pole Gaussian line + cloud + dashboard PCD engine for stocks (auto-active where data is available) Disabled by default (opt-in): Custom MA suite (4x MAs, preset as EMA 8/8/89/89) Hull MA overlay How traders can use VB-MainLite in practice: Use EMA 200 + Gaussian dashboard to define top-down directional bias and avoid trading directly against multi-TF trend. Use Nadaraya swing labels, RSI exhaustion arrows, and CCI bar colors to time entries within that higher-timeframe bias. Use Fat Bull / Fat Bear events as structured confirmation that both pattern and MA regime have flipped in the same direction. Use Bull Snort, Pocket Pivots, and S&R / ICT zones to align execution with liquidity, volume, and location (premium vs discount). On stocks, use PCD as a positioning map to understand trapped supply, support zones near crowded cost basis, and where profit-taking is likely.
مؤشر Pine Script®
من ‎TheSigmaMentor‎
BTC / XAU Calculator/Hesaplayıcı USER GUIDE BTC/XAU Calculator is a table-based indicator that displays Bitcoin price, Gold price (XAU/USD), and the BTC/XAU ratio simultaneously. It pulls real-time market data and calculates values based on your manual inputs. ⸻ Features • Automatically fetches live BTCUSD and XAUUSD prices. • Supports two-way manual calculations: • BTC price → Ratio calculation • Ratio → BTC price calculation • Clear table layout showing Market vs Calculated values. • Compatible with Binance, OANDA, and all brokers. ⸻ 1. Settings Gold Price (XAU/USD) • When “Use live XAU price” is enabled, the indicator uses real-time XAU/USD. • If disabled, you can enter your own gold price manually. ⸻ 2. Calculation Modes A) Calculate BTC from Ratio BTC = Ratio × Gold price Example: XAU = 4200 Ratio = 19.08 → BTC = 4200 × 19.08 = 80,136 USD ⸻ B) Calculate Ratio from BTC Ratio = BTC price ÷ Gold price Example: BTC = 90,000 XAU = 4250 → Ratio = 90,000 / 4,250 = 21.18 3. Suggested Uses • Evaluate BTC as cheap/expensive relative to gold • BTC target projections based on gold • Macro hedge and correlation analysis • BTC/XAU ratio-based scenario modeling ⸻ Notes • This indicator does not generate trading signals. • It is intended for numerical comparison and scenario building only. Source: The design and calculation logic of this indicator were created in collaboration with OpenAI’s ChatGPT model.
مؤشر Pine Script®
من ‎bedirhankaya‎
1
Impulse Trend Suite (LITE) — v1.2🚀 Impulse Trend Suite (LITE) — v1.2 Smart trend visualization with precise flip arrows. A lightweight, momentum-filtered trend tool designed to stay clean, avoid repeated signals, and keep you focused only on real market direction. ✨ What’s New in v1.2 Minor upgrades mostly visual Higher-contrast trend zones (green/red/neutral) Larger BUY/SELL arrows + clearer labels Clean, smoother ATR channel lines (improved) Minor UI polishing to reduce chart noise 📌 Core Features Trend flip arrows (no spam, 1 signal per turn) Continuous background zones (gap-free trend shading) Adaptive Baseline + ATR structure channel RSI + MACD momentum filter (suppresses weak signals) Trend Status Panel (UP, DOWN, NEUTRAL) 🔍 Quick Guide BUY setup = green arrow + green background SELL setup = red arrow + red background Stay in the move while color doesn’t change ATR channel helps avoid chasing overextended candles 🆚 LITE vs PRO Feature‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ LITE‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ PRO ---------------------‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ --------‎ ‎ ‎ ‎ ‎ ------------------------------ Trend shading + arrows‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ + confirmations Neutral trend state‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ enhanced Alerts‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ full suite Reversal Zones‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ predictive boxes HTF Filter‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✔ smarter trend bias Included strategies‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ✖‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎✔ + PDF training ======================================================== 🔓 Upgrade to PRO Reversal Zones • Alerts • HTF Filter • Trend Continuation Strategy 👉 fxsharerobots.com/impulse-trend-pro/ 📈 Works on Forex, Stocks, Crypto, Indices, Metals ⌚ Scalping • Intraday • Swing • Long-term ========================================================== ⚠️ LITE - Educational tool. Backtest before trading live. Visit us for Full Trading Tools Collection here: www.fxsharerobots.com Happy trading! — FxShareRobots Team
مؤشر Pine Script®
من ‎FxShareRobots‎
Daily High/Low/50%Daily High/Low/50% Levels Indicator This Pine Script v6 indicator displays three horizontal lines from the previous daily candle: High: The highest price of the last daily candle Low: The lowest price of the last daily candle 50%: The midpoint between high and low Key Features: Lines extend from one daily candle to the next (Monday to Tuesday, Tuesday to Wednesday, etc.) Fully customizable styling for each line independently: Color selection Line style (Solid, Dashed, Dotted) Line width/thickness Small labels ("H", "L", "50%") mark the start of each new day Works on any timeframe (intraday charts show daily levels as reference) Use Case: Perfect for intraday traders who want to see the previous day's key levels as support/resistance zones. The 50% level often acts as a pivot point for price action.
مؤشر Pine Script®
من ‎Dirhvep‎
Volume essential parameters overlayVolume EPO – Essential Volume Parameters Overlay 1. Motivation and design philosophy Volume EPO is designed as a conceptual overlay rather than a self contained trading system. The main idea behind this script is to take complex, foundational market concepts out of heavy, menu driven strategies and express them as lightweight, independent layers that sit on top of any chart or indicator. In many TradingView scripts, a single strategy tries to handle everything at once: signal logic, risk settings, visual cues, multi timeframe controls, and conceptual explanations. This usually leads to long input menus, performance issues, and difficult maintenance. The architectural approach behind Volume EPO is the opposite: keep the core strategy lean, and move the explanation and measurement of key concepts into dedicated overlays. In this framework, Volume EPO is the base layer for the concept of volume. It does not decide anything about entries or exits. Instead, it exposes and clarifies how different definitions of volume behave candle by candle. Other layers or strategies can then build on top of this understanding. 2. What Volume EPO does Volume EPO focuses on four essential volume parameters for each bar: - Buy volume - Sell volume - Total volume - Delta volume (the difference between buy and sell volume) The script presents these parameters in a compact heads up display (HUD) table that can be positioned anywhere on the chart. It is designed to be visually minimal, language aware, and usable on top of any other indicator or price action without cluttering the view. The indicator does not output signals, alerts, arrows, or strategy entries. It is a descriptive and educational tool that shows how volume is distributed, not a prescriptive tool that tells the trader what to do. 3. Two definitions of volume A central theme of this script is that there is more than one way to define and interpret “volume” inside a single candle. Volume EPO implements and clearly separates two different approaches: - A geometric, candle based approximation that uses only OHLC and volume of the current bar. - An intrabar, data driven definition that uses lower timeframe up and down volume when it is available. The user can switch between these modes via the calculation method input. The mode is prominently shown inside the on chart table so that the context is always explicit. 3.1 Geometry mode (Source File, approximate) In Geometry mode, Volume EPO works only with the current bar’s OHLC values and total volume. No lower timeframe data is required. The candle’s range is defined as high minus low. If the range is positive, the position of the close inside that range is used as a simple model for how volume might have been distributed between buyers and sellers: - The closer the close is to the high, the more of the total volume is attributed to the buying side. - The closer the close is to the low, the more of the total volume is attributed to the selling side. - In a rare case where the bar has no price range (for example a flat or doji bar), total volume is split evenly between buy and sell volume. From this model, the script derives: - Buy volume (approximated) - Sell volume (approximated) - Total volume (as reported by the bar) - Delta volume as the difference between buy and sell volume This approach is intentionally labeled as “Geometry (Approx)” in the HUD. It is a theoretical reconstruction based solely on the candle’s geometry and total volume, and it is always available on any market or timeframe that provides OHLCV data. 3.2 Intrabar mode (Precise) In Intrabar mode, Volume EPO uses the TradingView built in library for up and down volume on a user selected lower timeframe. Instead of inferring volume from the shape of the candle, it reads the underlying lower timeframe data when that data is accessible. The script requests up and down volume from a lower timeframe such as 15 seconds, using the official TA library functions. The results are then interpreted as follows: - Buy volume is taken as the absolute value of the up volume. - Sell volume is taken as the absolute value of the down volume. - Total volume is the sum of buy and sell volume. - Delta volume is provided directly by the library as the difference between up and down volume. If valid lower timeframe data exists for a bar, the bar is counted as covered by Intrabar data. If not, that bar is marked as invalid for this precise calculation and is excluded from the covered count. This mode is labeled “Precise” in the HUD, together with the selected lower timeframe, because it is anchored in actual intrabar data rather than in a geometric model. It provides a closer view of how buying and selling pressure unfolded inside the bar, at the cost of requiring more data and being dependent on the availability of that data. 4. Coverage, lookback, and what the numbers mean The top part of the HUD reports not only which volume definition is active, but also an additional line that describes the effective coverage of the data. In Intrabar (Precise) mode, the script displays: - “Scanned: N Bars” Here, N counts how many bars since the indicator was loaded have successfully received valid lower timeframe delta data. It is a measure of how much of the visible history has been truly covered by intrabar information, not a lookback window in the sense of a rolling calculation. In Geometry mode, the script displays: - “Lookback: L Bars” In this extracted layer, the lookback value L is purely descriptive. It does not change how the current bar’s volume is computed, and it is not used in any iterative or statistical calculation inside this script. It is meant as a conceptual label, for example to keep the volume layer consistent with a broader framework where lookback length is a structural parameter. Summarizing these two fields: - Scanned tells you how many bars have been processed using real intrabar data. - Lookback is a descriptive parameter in Geometry mode in this specific overlay, not a direct driver of the computations. 5. The HUD layout on the chart The on chart table is intentionally compact and structured to be read quickly: - Header: a title identifying the overlay as Volume EPO. - Mode line: explicitly states whether the script is in Precise or Geometry mode, and for Precise mode also shows the lower timeframe used. - Coverage line: - In Precise mode, it shows “Scanned: N Bars”. - In Geometry mode, it shows “Lookback: L Bars”. - Volume block: - A line for buy and sell volume, marked with clear directional symbols. - A line for total volume and the absolute delta, accompanied by the sign of the delta. - Numeric formatting uses human friendly suffixes (for example K, M, B) to keep the display readable. - Footer: the current symbol and a time stamp, adjusted by a user selectable timezone offset so that the HUD can be aligned with the trader’s local time reference. The table can be positioned anywhere on the chart and resized via inputs, and it supports multiple color themes and languages in order to integrate cleanly into different chart layouts. 6. How to use Volume EPO in practice Volume EPO is meant to be read together with price action and other tools, not in isolation. Typical uses include: - Studying how often a strong directional candle is actually supported by dominant buy or sell volume. - Comparing the behavior of delta volume between Geometry and Intrabar definitions. - Building a personal intuition for how intrabar data refines or contradicts the simple candle based approximation. - Feeding these insights into separate, lean strategy scripts that do not need to carry the full explanatory logic of volume inside them. Because it is an overlay layer, Volume EPO can be stacked with other custom indicators without adding new signals or complexity to their logic. It simply adds a clear and consistent view of volume behavior on top of whatever the trader is already watching. 7. Educational and non signalling nature Finally, it is important to stress that Volume EPO is not a trading system, not a signal generator, and not financial advice. The script does not tell the user when to enter or exit. It only reports how different definitions of volume describe the current bar. Deciding whether to trade, how to trade, and which risk parameters to use remains entirely with the user and with their own strategy. Volume EPO provides context and clarity around the concept of volume so that those decisions can be informed by a better understanding of how buying and selling pressure is structured inside each candle. Note: Even on lower timeframes, every reconstruction of volume remains an approximation, except at the true single tick level. However, the closer the chosen lower timeframe is to a one tick stream, the more accurately it can reflect the underlying order flow and balance between buying and selling pressure.
مؤشر Pine Script®
من ‎ata_sabanci‎
MA Strength Indicator EnhancedThe "MA Strength" is an indicator that measures market trend strength or (in the case of forex pairs) the relative strength of individual currencies based on up to five different moving averages (MA). It offers multiple calculation methods, such as simple summation, normalized value, or measuring ATR/percentage distance from the price. The results are summarized in a clear table, and it provides customizable alerts for trend changes or shifts in currency strength. The high level of configurability (e.g., MA weighting, "all MA alignment" requirement) allows for fine-tuning the strategy. 💬 Interpreting the Table (Top Rows) The top row of the table shows the final output of the indicator. This changes according to the set "Table Mode". Trend Mode: The top row shows the final, aggregated trend status (e.g., "BULLISH", "NEUTRAL") and the corresponding "Trend Value". This is the value the indicator compares to its thresholds. Forex Mode: (Only on 6-character pairs): The top two rows show the strength of the Base currency and the Quote currency separately. Calculation of the top rows: The indicator calculates the individual score of all active MAs (according to the chosen method). Trend Value: This is the final value calculated from the scores. If "Enable Averaging" is ON, this will be the average of the scores (e.g., MA1 score is 5.0, MA2 score is 7.0 -> Trend Value is 6.0). If averaging is OFF, this will be the sum of the scores (e.g., 5.0 + 7.0 = 12.0). Forex Calculation: "Forex Mode" uses this "Trend Value". If the Trend Value is +6.0 (on an EURUSD pair): The Base currency (EUR) value will be +6.0. The Quote currency (USD) value will be -6.0. The indicator compares these values to the thresholds to determine the "STRONG" status for EUR and "WEAK" status for USD. 📊 Calculation Methods The indicator can calculate trend strength using 5 methods. The final "Trend Value" is derived from the results of these calculations. Sum: Description: Simply adds up the individual scores of all enabled moving averages (MA). Formula: If the price is above an MA, it gets the "Score Above" value (e.g., +2.0); if below, it gets the "Score Below" value (e.g., -2.0). Example: Result = (MA1 score) + (MA2 score) + ... Normalized: Description: Takes the sum obtained by the "Sum" method and converts it to a scale between -100% (maximally bearish) and +100% (maximally bullish). It takes into account the maximum possible positive and negative scores. Formula: Result = (Total Score / Max Possible Score) * 100 Percentage Distance: Description: This method also considers distance. The further the price is from the MA in percentage terms, the higher the score. Formula: MA Score = (|Close Price - MA| / MA * 100) * Weight (The "Weight" is the "Score Above/Below" value set in settings). ATR Distance: Description: Similar to percentage distance, but normalizes the distance using volatility via ATR (Average True Range). Formula: MA Score = (|Close Price - MA| / ATR) * Weight Candle Count: Description: Counts how many consecutive candles have been above or below the MA. It multiplies this number by the set weight. Formula: MA Score = (Number of consecutive candles) * Weight ⚙️ Settings Options Moving Averages (MA 1-5) For each moving average, you can set: Enable MA: Turn the specific MA on or off. Type: The type of moving average (SMA, EMA, WMA, etc.). Period: The period of the MA (e.g., 50, 200). Score Above / Below: The most important setting. This defines the "weight" of the MA in the calculation. In "Sum" mode, this is a fixed score; in distance-based modes, this is a multiplier (weight). It is advisable to write a positive number for "Score Above" and a negative number for "Score Below". Calculation Settings Enable Averaging: If this is on, the indicator shows the average of the active MA scores, not the total score. Exception: This function is not available in "Normalized" mode. Require All MA Alignment: This is a strict filter. If enabled, the indicator only gives a "BULLISH" (or "STRONG") signal if the price is above all enabled moving averages. Similarly, a "BEARISH" signal only occurs if the price is below all moving averages. If the price is on the opposite side of even just one MA (e.g., above 4, below 1), the status becomes "NEUTRAL", regardless of the scores. Strength / Trend Thresholds Enable Extra Levels: If active, statuses are expanded: "EXT. BULLISH" / "EXT. BEARISH" (Trend mode) or "EXT. STRONG" / "EXT. WEAK" (Forex mode). This indicates stronger, overbought/oversold conditions. Threshold setting: The thresholds (e.g., "Strong Above - ATR") determine when the calculated value counts as a "STRONG" or "WEAK" status. 🔢 Setting Thresholds via Calculation If "Enable Averaging" is OFF, the "Trend Value" shown in the table will be the sum of the individual MA scores. Therefore, we must define the threshold by adding up the minimum expected performance from each moving average. This allows us to set different expectations for short, medium, and long-term averages. Step 1: Determine MA weights In our example, we use 3 active MAs with the following weights (Score Above values): MA1 (Short): Weight = +2 MA2 (Medium): Weight = +3 MA3 (Long): Weight = +4 Step 2: Determine the minimum expected distance Define a minimum distance expected from each MA to trigger a "Strong" signal. Step 3: Calculate target scores and the final threshold Note: If "Enable Averaging" is ON, the resulting value (sum of target scores) must be averaged to get the final threshold. Example 1: ATR Distance -Goal: I want a "Strong" signal if the price is... ...at least 1.0 ATR above MA1 (Short), ...at least 1.5 ATR above MA2 (Medium), ...and at least 2.0 ATR above MA3 (Long). -Calculation (Expected Distance * Weight): MA1 Target Score: 1.0 * 2 = 2.0 MA2 Target Score: 1.5 * 3 = 4.5 MA3 Target Score: 2.0 * 4 = 8.0 -Final Threshold (Sum of Target Scores): 2.0 + 4.5 + 8.0 = 14.5 -Setting: Set "Strong Above - ATR" threshold to 14.5. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold: 4.8 (14.5 / 3 = 4.83). Example 2: Percentage Distance -Goal: I want a "Strong" signal if the price is... ...at least 0.5% above MA1, ...at least 1.0% above MA2, ...and at least 1.5% above MA3. -Calculation (Expected Distance * Weight): MA1 Target Score: 0.5 * 2.0 = 1.0 MA2 Target Score: 1.0 * 3.0 = 3.0 MA3 Target Score: 1.5 * 4.0 = 6.0 -Final Threshold (Sum): 1.0 + 3.0 + 6.0 = 10.0 -Setting: Set "Strong Above - Percentage" threshold to 10.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 3: Candle Count -Goal: I want a "Strong" signal if... ...at least 3 consecutive candles are above MA1, ...at least 5 consecutive candles are above MA2, ...and at least 10 consecutive candles are above MA3. -Calculation (Expected Candle Count * Weight): MA1 Target Score: 3 * 2.0 = 6.0 MA2 Target Score: 5 * 3.0 = 15.0 MA3 Target Score: 10 * 4.0 = 40.0 -Final Threshold (Sum): 6.0 + 15.0 + 40.0 = 61.0 -Setting: Set "Strong Above - Candle" threshold to 61.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 4: Sum In this mode, distance does not matter, only whether the price is above or below the MA. -Goal: "Strong" signal if the price is above the long-term averages, but can be below the short-term (MA1). MA1 (Short): Can be below (Weight: -2.0) MA2 (Medium): Must be above (Weight: +3.0) MA3 (Long): Must be above (Weight: +4.0) -Calculation: -2.0 + 3.0 + 4.0 = 5.0 -Setting: Set "Strong Above - Sum" threshold to 5.0. If it must be above all three moving averages, the threshold would be 2.0 + 3.0 + 4.0 = 9.0. If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the threshold. Example 5: Normalized The basic logic is similar to the "Sum" method. -Goal: "Strong" signal if price is above MA2 and MA3, but potentially below MA1. -Calculation: Target Sum: 5.0. Max Possible Score (above all): 9.0. -Threshold: (5.0 / 9.0) * 100 = 55.5 In this calculation method, averaging cannot be set. The Usage of the "ATR %" Row The "ATR %" row shows the percentage movement of an average candle. How to use this with "Percentage Distance" mode: This number gives a baseline. It helps decide if the "Percentage Distance" threshold is realistic. Example: You see the "ATR %" value is hovering around 1.2%. This means a "normal" candle moves about 1.2%. If you set the Percentage threshold to 0.5%, it is too low. The indicator will constantly give a "Strong" signal because even average movement (noise) exceeds the threshold. Correct Usage: If "normal" movement is 1.2%, then a "strong" movement (trend) needs to be significantly larger. For example, set the threshold to double the ATR %: 2.4 (2 * 1.2). Thus, you only get a "Strong" signal if the movement is twice the average volatility. Supplementary Information Rounding Differences: The numbers displayed in the table and the precision of calculations in the background differ. Table Display: The indicator rounds numbers to two decimal places in the table. So, if the value is 0.996, the table shows 1.00 (rounded up). Internal Calculation: The background calculation uses much higher precision. When determining status (STRONG vs NEUTRAL), the program compares the precise, unrounded value to the threshold. Result: Due to rounding, it may happen that if the threshold is 1.00 and the table shows 1.00, the status flickers between Strong and Neutral. If this is bothersome, it is advisable to set a slightly lower threshold (e.g., 0.98). 🔔 Alert Settings The indicator can send alerts when the status changes. Alert Method: Trend: Alerts when the main trend status changes (e.g., from "NEUTRAL" to "BULLISH"). You can specify which direction to alert for (e.g., only "BULLISH"). Forex: Works only on 6-character forex pairs. You can set separate alerts for the Base or Quote currency. Forex Strength Level: You can specify at which status level to alert (e.g., "WEAK" or "EXT. STRONG"). 📈 Trading Tips Trend Confirmation: Use the "BULLISH" / "BEARISH" status to confirm your existing strategy (e.g., breakouts, bounces off support). Forex Pairing: In Forex mode, look for pairs where the Base currency is "STRONG" and the Quote currency is "WEAK" (or "EXT. STRONG" / "EXT. WEAK") for a long position. Short Position: Reverse the above (Base: WEAK, Quote: STRONG).
مؤشر Pine Script®
من ‎nzsolti18‎
2
EMA Market Structure [BOSWaves]EMA Market Structure - Trend-Driven Structural Mapping with Adaptive Swing Detection Overview The EMA Market Structure indicator provides an advanced framework for visualizing market structure through dynamically filtered trend and swing analysis. Unlike conventional EMA overlays, which merely indicate average price direction, this model integrates trend acceleration, swing highs/lows, and break-of-structure (BOS) logic into a unified, visually intuitive display. Each element adapts in real time to price movement, offering traders a living map of support, resistance, and trend bias that reacts fluidly to market momentum. The result is a comprehensive, trend-aware representation of price structure. EMA slope and acceleration guide trend perception, while swing points identify key inflection zones. Breaks of prior highs or lows are highlighted with visual BOS labels and stop-loss projections, giving traders actionable context for continuation or reversal setups. Unlike static lines or simple moving averages, the EMA Market Structure indicator fuses dynamic trend analysis with structural awareness to provide a clear picture of market bias and potential turning points. Theoretical Foundation The EMA Market Structure builds on principles of momentum filtering and structural analysis. Standard moving averages track average price but ignore acceleration and context; this indicator captures both the directional slope of the EMA and its rate of change, providing a proxy for trend strength. Simultaneously, swing detection identifies statistically significant highs and lows, while BOS logic flags decisive breaks in structure, aligned with trend direction. At its core are three interacting components: EMA Trend & Acceleration : Smooths price data while highlighting acceleration changes, producing gradient-driven color cues for trend momentum. Swing Detection Engine : Identifies swing highs and lows over configurable bar lengths, ensuring key turning points are captured with minimal clutter. Break-of-Structure Logic : Detects price breaches of previous swings and aligns them with EMA trend for actionable BOS signals, including projected stop-loss levels for tactical decision-making. By integrating these elements, the system scales effectively across timeframes and assets, maintaining structural clarity while visualizing trend dynamics in real time. Traders receive both macro and micro perspectives of market movement, with clear cues for trend continuation or reversal. How It Works The EMA Market Structure indicator operates through layered processing stages: EMA Slope & Acceleration : Calculates the EMA and its rate of change, normalizing via ATR and a smoothing function to produce gradient color coding. This allows instant visual identification of bullish or bearish momentum. Swing Identification : Swing highs and lows are computed using configurable left/right bar lengths, filtered through a cool-off mechanism to prevent redundant signals and maintain chart clarity. Structural Lines & Zones : Swing points are connected with lines, and shaded zones are drawn between successive highs/lows to highlight key support and resistance regions. Break-of-Structure Detection : BOS events occur when price breaches a prior swing in alignment with the EMA trend. Bullish and bearish BOS signals include enhanced label effects and projected stop-loss lines and zones, providing immediate tactical reference. Dynamic Background Mapping : The chart background adapts to EMA trend direction, reinforcing trend context with subtle visual cues. Through these processes, the indicator creates a living, adaptive map of market structure that reflects both trend strength and swing-based inflection points. Interpretation The EMA Market Structure reframes market reading from simple trend following to structured awareness of price behavior: Uptrend Phases : EMA is rising with positive acceleration, swings confirm higher lows, and BOS events occur above prior highs, signaling trend continuation. Downtrend Phases : EMA slope is negative, swings form lower highs, and BOS events occur below prior lows, confirming bearish bias. Trend Reversals : Flat or decelerating EMA with BOS failures may indicate impending structural change. Critical Zones : Swing-based lines and shaded zones highlight areas where price may pause, reverse, or accelerate, providing high-probability decision points. Visually, EMA color gradients, structural lines, and BOS labels combine to provide both statistical trend confirmation and actionable structural cues. Strategy Integration EMA Market Structure integrates seamlessly into trend-following and swing-based trading systems: Trend Alignment : Confirm higher-timeframe EMA slope before entering continuation trades. BOS Entry Triggers : Use BOS events aligned with EMA trend for tactical entries and stop placement. Support/Resistance Mapping : Swing lines and zones help define areas for scaling, exits, or reversals. Volatility Context : ATR-based smoothing and stop-loss buffers accommodate varying market volatility, ensuring robustness across conditions. Multi-Timeframe Coordination : Combine higher-timeframe EMA trend and swings with lower-timeframe structural events for precision entries. Technical Implementation Details Core Engine : EMA slope and ATR-normalized acceleration for gradient-driven trend visualization. Swing Framework : Pivot-based high/low detection with configurable bar lengths and cool-off intervals. Structural Visualization : Lines, zones, and labels for high-fidelity mapping of support/resistance and BOS events. BOS Engine : Detects structural breaks aligned with EMA trend, automatically plotting stop-loss lines and visual cues. Performance Profile : Lightweight, optimized for real-time responsiveness across multiple timeframes. Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Ideal for intraday swing spotting and microstructure trend tracking. 15 - 60 min : Medium-range structural analysis and BOS-driven entries. 4H - Daily : Macro trend mapping and key swing-based support/resistance identification. Suggested Configuration: EMA Length : 50 Swing Length : 5 Swing Cooloff : 10 bars BOS Cooloff : 15 bars SL Buffer : 0.1% These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Trending markets with defined swings and structural consistency. Markets where EMA slope and acceleration reliably indicate momentum changes. Reduced Effectiveness: Choppy or sideways markets with minimal swing definition. Random walk assets lacking clear structural anchors. Integration Guidelines Confluence Framework : Combine with volume, momentum, or BOSWaves structural indicators to validate entries. Directional Control: Follow EMA slope and BOS alignment for high-conviction trades. Risk Calibration: Use SL projections for disciplined exposure management. Multi-Timeframe Synergy: Confirm higher-timeframe trend before executing lower-timeframe structural trades. Disclaimer The EMA Market Structure is a professional-grade trend and structure visualization tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack integrating trend, liquidity, and structural context.
مؤشر Pine Script®
من ‎BOSWaves‎
4