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eBacktesting - Learning: FVGeBacktesting - Learning: FVG is an indicator in the eBacktesting Learning series: a collection of tools designed to help new traders understand the most important concepts in trading through clear, visual examples directly on the chart. This indicator highlights Fair Value Gaps (FVGs): areas where price moved so quickly that it left behind an imbalance. These zones often act like "magnets" for future price action and can become important areas to watch for reactions, continuations, or reversals. To keep the chart clean and the learning process practical, FVGs are only displayed when they remain relevant, meaning they are not instantly cleared by the very next candle. This helps beginners focus on the imbalances that actually persist and are more likely to matter. Each FVG is drawn as a zone with a midpoint line and will visually update as price interacts with it: Touched when price trades into the zone Filled when price completely clears the zone These indicators are built to pair perfectly with eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
אינדיקטור Pine Script®
מאת ‎eBacktesting‎
Signal Architect Stop-HuntStop-Hunt Proxy (Auto-Config) — Signal Architect™ What this script does The Stop-Hunt Proxy is a market-structure and liquidity observation tool designed to highlight areas where stop-loss liquidity is likely raided and price fails to continue, often revealing absorption or auction failure behavior. This script does not predict direction. It does not authorize trades. It identifies where intent failed, not what price must do next. Think of it as a liquidity awareness layer, not a signal system. Core behavior detected The script combines several structural components: Prior swing highs / lows Areas where stop-loss orders often cluster. ATR-scaled liquidity zones Zones automatically expand or contract based on volatility. Wick dominance Long wicks relative to range suggest failed continuation. Absorption proxies (BSP / VDP) Volume-weighted pressure imbalance that may indicate opposition. VWAP interaction (optional) Reclaim or failure provides auction context. When these align, the script highlights a stop-hunt (liquidity harvest) event. Visual elements Liquidity Zones (Clouds) Zones appear above prior highs and below prior lows. Thickness adapts automatically to current volatility. These represent areas of potential stop-loss concentration. Stop-Hunt Arrows Arrows appear only when multiple filters align, such as: Liquidity zone is raided Wick structure shows rejection Optional absorption behavior is present Optional VWAP context confirms failure or reclaim An arrow means: Liquidity was taken and continuation failed. It does NOT mean: A reversal is guaranteed A trade should be taken Price must move in a certain direction Suggested timeframes (IMPORTANT) This script is most reliable on larger intraday and higher timeframes, where liquidity structure is clearer and noise is reduced. ⭐ Best-performing timeframes 30-minute 1-hour 2-hour 4-hour Daily (context only) Acceptable lower timeframes (with caution) 15-minute 5-minute (structure confirmation only) Lower timeframes may produce more frequent signals, but also more noise and false context. The strength of this tool increases as timeframe increases. Best use cases This script is best used for: Identifying liquidity harvest events Detecting failed breakouts or breakdowns Providing context for WAIT vs observe Confirming auction failure before continuation elsewhere Complementing: VWAP / Anchored VWAP Auction or market-state models Volatility and participation analysis It is especially useful during: Range-to-rotational markets Post-breakout failures Areas of obvious prior highs/lows What this script is NOT designed for ❌ Trade automation ❌ Buy/sell alerts ❌ Scalping systems ❌ Predictive forecasting ❌ Profit modeling If you are looking for explicit trade instructions, this script is not intended for that purpose. How to use it correctly Observe the zone Did price raid a prior high or low? Observe the reaction Did price fail to continue after taking liquidity? Check the context VWAP behavior Volatility regime Higher-timeframe structure Assign NO immediate outcome The correct response is often WAIT. This tool helps answer: Where was liquidity taken? Did price accept or reject after? Is intent being revealed or denied? Design philosophy — Signal Architect™ Markets move through liquidity, not opinion. This script exists to highlight where the market attempted something and failed, which is often more informative than where it succeeded. Liquidity was taken. Intent was revealed. Outcome remains unassigned. Final reminder Educational use only. Not financial advice. Trading and investing involve substantial risk, including possible loss of principal.
אינדיקטור Pine Script®
מאת ‎SignalArchitecT_AI‎
InstitutionalSuite Fusion [JOAT]InstitutionalSuite Fusion Introduction InstitutionalSuite Fusion is a single, overlay-style TradingView indicator that combines multiple market context layers into one coherent workspace: Confluence (Fusion Wave): A bounded, smoothed confluence engine that maps multi-factor momentum/pressure into a clean wave around price. Trend Regime + Matrix: A multi-length trend regime model that summarizes directional bias and coherence (agreement) across a configurable range of lengths. Timeline Levels: Key opens and reference levels (day/week/month/year open, previous session highs/lows) for clean session structure. Liquidity Zones + Ladder: Automatic imbalance-style zones, mitigation tracking, and a right-side “ladder” that lists the nearest active zones. Dashboard + Matrix UI: Lightweight tables to keep state readable without cluttering the chart. The purpose of Fusion is not to “merge indicators for the sake of merging”. It is built so the modules reinforce each other: Confluence shows pressure and inflection. Trend Regime shows whether that pressure aligns with the broader directional backdrop. Timeline levels provide context for where price is trading relative to key opens and prior extremes. Liquidity zones provide likely reaction areas and objective references for risk framing. The ladder/dashboard compress all of the above into a fast decision surface. Important Note This is an analysis indicator . It does not place trades and it does not guarantee results. Use it as a decision-support layer inside a complete trading plan. What You See On The Chart (Visual Guide) 1) Fusion Wave (Confluence Overlay) When Modules -> Confluence is enabled, the indicator draws: Fusion Basis (subtle baseline): an EMA-based anchor around which the wave oscillates. Fusion Wave (colored line): the confluence projection mapped into price space using ATR scaling. Wave Fill : a filled band between the wave and the basis to visualize pressure intensity. Bar Tint (optional): candle colors are tinted to match the confluence gradient. How to read it Positive wave coloration / upward pressure: confluence is net bullish. Negative wave coloration / downward pressure: confluence is net bearish. Transitions around neutral: watch for shifts in pressure, then confirm with the Trend Regime and nearby Liquidity Zones/Timeline levels. Why it stays clean and on-scale Fusion confluence is explicitly bounded and smoothed to avoid runaway values that can distort chart scaling. The wave is derived from the bounded confluence and an ATR-based amplitude. 2) Regime Background (Optional) When Modules -> Regime background is enabled, the chart background is softly tinted: Bull regime: bias exceeds the neutral band. Bear regime: bias falls below the neutral band. Neutral regime: bias remains inside the neutral band. Use it as “macro tint”, not as a signal by itself. 3) Timeline Levels (Session/Period Structure) When Modules -> Timeline levels is enabled, Fusion can plot: Day Open Week Open Month Open Year Open (12M) Previous Day High / Low Previous Week High / Low How to use them Treat opens as “fair value anchors” for that period. Use previous highs/lows as liquidity reference points and reaction zones. Combine them with Liquidity Zones: confluence shifts near a timeline level is higher quality than a shift in empty space. Note: level prices are aligned to the instrument’s tick size to keep plotted lines visually accurate. 4) Liquidity Zones (Imbalance-Style Zones) When Modules -> Liquidity zones is enabled, Fusion detects and draws zones as boxes. Zone types Bull zones (typically below/around current price when created): represent upward displacement leaving an imbalance. Bear zones (typically above/around current price when created): represent downward displacement leaving an imbalance. Zone lifecycle Creation: a zone is created only on confirmed bars and only if its size meets your minimum ATR-based threshold. Aging/Fade: zones progressively fade as they get older (configurable). Mitigation: a zone is marked mitigated when price trades back through its price range. Optional deletion: mitigated zones can be kept (muted) or deleted automatically. How to read zones Active zones are potential reaction areas. Mitigated zones are “used” and generally less relevant. Zones are not a promise of reversal; they are objective references for planning, risk framing, and expectation management. 5) Liquidity Ladder (Nearest Zone Navigator) When Modules -> Liquidity ladder is enabled (and zones are enabled), Fusion builds a right-side ladder on the last bar. Each ladder row corresponds to one of the nearest active zones (by distance from current price). Each row is plotted at the zone’s midpoint . The label includes direction (BULL/BEAR), midpoint price, and zone size expressed in ATR units. Rows are offset to the right by a configurable amount so they do not overlap active candles. How to use the ladder Quickly identify the nearest potential reaction area without scanning every box. Use it to plan “where is the next level of interest above and below me?” Combine with confluence: strong confluence into a nearby opposite-side zone is often where traders become more selective. 6) Dashboard (Compact State Readout) When Modules -> Dashboard is enabled, a compact table is shown (position configurable): State: Bull / Bear / Neutral based on confluence thresholding. Flux: the bounded confluence value. Bias: the aggregate trend regime bias. Coh %: coherence (agreement) across the selected matrix lengths. Zones B / Zones R: count of active bull and bear zones. Nearest: nearest active zone midpoint. The dashboard updates on the last bar to stay responsive and light. 7) Matrix Table (Trend Regime Breakdown) When Modules -> Matrix table is enabled, Fusion prints a multi-column view of trend regime across lengths. Header Regime (Bull/Bear/Neutral) Bias (aggregate) Coherence (agreement) Rows/columns Len: the actual length used for that column. Trend: the trend value for that length. Str: normalized strength (0-100). State: Bull / Bear / Neutral per length. How to interpret coherence High coherence means many lengths agree on direction (cleaner regime). Low coherence means lengths disagree (chop/transition/mean-reversion risk). How The Confluence Engine Works (Conceptual, No Code) Fusion confluence blends multiple normalized components into a single bounded score. Each component is normalized so that no single raw scale dominates. Components ZEMA delta (ATR-normalized): adaptive trend impulse using a zero-lag EMA concept versus a standard EMA. RSI normalization: RSI mapped into a symmetric -1 to +1 space around 50. MACD histogram impulse (ATR-normalized): momentum agreement and acceleration. Channel position (range-normalized): where price sits inside a lookback channel. Volume impulse (standardized): relative volume change signed by price direction. Weights and smoothing Each component has a configurable weight. The blend is smoothed to reduce noise. The final result is bounded to keep visuals stable and readable. HTF Blend (Optional) When enabled, Fusion blends current timeframe confluence with a higher-timeframe confluence sample to reduce low-timeframe noise. The HTF sample is taken from confirmed higher-timeframe data (designed to avoid forward-looking behavior). How To Use InstitutionalSuite Fusion (Practical Workflow) Step 1: Start with a clean chart Fusion is meant to be readable on its own. Use a normal candlestick chart and avoid stacking other indicators on top unless you have a clear reason. Step 2: Identify regime first (Matrix + Coherence) If regime is Bull or Bear and coherence is strong, you are likely in a trending environment. If regime is Neutral or coherence is low, be cautious with trend assumptions and focus more on levels and reactions. Step 3: Use Timeline Levels to frame context Day/Week opens help define where price is “holding value” for the period. Previous highs/lows often act as reaction magnets. Step 4: Use Liquidity Zones as objective areas Zones can act as potential reaction areas and reference points. Prefer zone interactions that also align with timeline levels or strong regime context. Step 5: Use Confluence to time the pressure shift Treat confluence as “pressure”. A confluence shift near a meaningful level/zone is more informative than a shift in open space. Confluence can lead; regime can confirm. Step 6: Use the Ladder to stay oriented The ladder is your “nearest active zones” list. Use it to plan what is closest above and below price at a glance. Inputs Guide (What Each Setting Does) Core Source: price series used across the indicator (default: close). Theme Bear / Mid / Bull colors: define the gradient used across the wave, tints, and UI accents. Bar tint: transparency strength applied to candle tint. Background tint: transparency strength applied to regime background. Modules Confluence: enables Fusion Wave and bar tinting. Regime background: optional background regime tint. Timeline levels: plots period opens and prior highs/lows. Liquidity zones: plots imbalance-style zones and mitigation. Matrix table: multi-length trend regime breakdown (position configurable). Liquidity ladder: nearest-zone navigator (requires zones). Dashboard: compact state readout (position configurable). Dash position / Matrix position: choose where tables appear. Confluence ZEMA length: responsiveness of the adaptive impulse component. RSI length: RSI smoothing window. MACD fast/slow/signal: MACD impulse tuning. Channel length: lookback window for channel position. Smoothing: final smoothing of confluence blend. Wave basis length: smoothing of the wave baseline. Wave amplitude (ATR): how far the wave can swing away from basis. Wave fill transparency: opacity of the filled band. Weights: relative contribution of each component. HTF blend / HTF / HTF weight: blends higher-timeframe confluence into the final score. Trend Regime Base length: starting length for the regime matrix. Matrix columns: how many lengths are evaluated. Length step: distance between lengths (base + step * column). Neutral band: dead-zone around zero for Bull/Bear/Neutral classification. Strong coherence %: threshold used for coloring/interpretation of coherence strength. Std blend: how much the model blends “EMA trend” with a “standardized momentum/range” component. Timeline Levels Day/Week/Month/Year open toggles Prev day H/L, Prev week H/L toggles Extend right: extend levels into the future. Line width: thickness of timeline lines. Liquidity Zones Zones (Bull/Bear/Both): which zone directions to detect. Min zone size (ATR): filters out tiny zones. Use wicks (high/low): if enabled, uses full wicks; otherwise uses candle bodies. Max active boxes: maximum zones kept on chart. Fade after N bars: controls how quickly zones visually fade. Delete when mitigated: deletes mitigated zones instead of keeping them muted. Border / Fill transparency: zone styling. Ladder rows: how many nearest zones to display. Ladder X offset: how far to the right the ladder is plotted. Alerts Fusion includes alert conditions for: Fusion Bull Shift: confluence crosses above 0. Fusion Bear Shift: confluence crosses below 0. Fusion New Bull Zone: a new bullish zone is formed on a confirmed bar. Fusion New Bear Zone: a new bearish zone is formed on a confirmed bar. Fusion Zone Mitigated: at least one zone is mitigated on a confirmed bar. Alert setup guidance For most users, “Once Per Bar Close” is the safest choice. Use alerts as notifications, not as automatic execution logic unless you have built and tested a full execution system. Accuracy, Data Handling, and Repainting Notes HTF blend is designed to reference confirmed higher-timeframe values so it does not rely on future bars. Timeline previous highs/lows are based on completed periods. Zones are created on confirmed bars; mitigation state updates as price trades back into zones. Any indicator will recalculate historically if you change settings; that is expected behavior. Recommended Use Cases Trend continuation: strong regime + strong coherence; use zones/timeline as pullback references. Transition/mean reversion: neutral/low coherence; prioritize levels and reactions over trend assumptions. Level-based planning: timeline opens and prior highs/lows, plus nearest active zones from the ladder. Limitations (Be Realistic) Fusion is a visual decision-support tool, not a complete trading system. Zones represent objective price structures, not guaranteed reversal points. Different symbols and sessions can cause opens and period boundaries to appear differently depending on the exchange/session settings. Very low-liquidity markets can produce noisier zones and confluence readings. Resource limits exist (lines/boxes/labels). The script manages objects, but extremely dense charts may require lowering max boxes or ladder rows. Source Protection and Publication Mode This indicator is published as protected (closed-source) to preserve the integrity of the work, reduce unauthorized redistribution, and allow continued iteration without exposing implementation details. Users can apply the indicator normally on their charts, but the underlying source is not viewable. Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk. You are responsible for your own decisions and risk management. -Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Signal Architect Stop-Hunt (Auto-Config) 🧠 Signal Architect™ Stop-Hunt Proxy (Auto-Config) — HOW TO USE IT What this is: A liquidity-raid + absorption detector that highlights when stops are likely swept and price fails to continue, implying forced positioning + reversal risk. This is NOT: a momentum indicator a breakout tool a trend follower It is a reaction-point locator. 1️⃣ WHAT THE STUDY IS ACTUALLY SHOWING A. Zones (the clouds) These are where stops cluster: 🔴 Red Zone (Above highs) → short stops likely 🟢 Green Zone (Below lows) → long stops likely They are built from: prior swing high / swing low ATR-scaled thickness volatility-adaptive sizing 👉 If price never enters a zone, nothing is happening. B. The Trigger (arrows) An arrow only prints when ALL of this occurs: Price raids stops wicks into a stop zone Fails to continue wick dominance ≥ threshold Absorption occurs volume shows opposition (BSP vs VDP) VWAP context holds reclaim (bull) or failure (bear) This is liquidity taken — not continuation. 2️⃣ WHEN THIS STUDY IS VALID (VERY IMPORTANT) ✅ BEST CONDITIONS Use this only when: Market is range-to-rotational VWAP is active and respected ATR is expanding or elevated Prior highs/lows are obvious This is excellent for: /NQ, /ES, /RTY QQQ, SPY Large-cap equities ❌ DO NOT USE WHEN Strong trend day VWAP is irrelevant News-driven vertical expansion Low-volume chop If you ignore this, it will intentionally NOT perform. 3️⃣ HOW TO EXECUTE A SIGNAL (STRUCTURAL LOGIC) This is not “buy/sell” — this is position framing. 🟢 Bullish Stop-Hunt Arrow (below price) Meaning Long stops were raided → sellers absorbed → price failed lower. Correct response Expect mean reversion Expect VWAP / value re-test Expect range repair DO NOT Chase the arrow Assume trend reversal Ignore higher-TF bias 🔴 Bearish Stop-Hunt Arrow (above price) Meaning Short stops were raided → buyers absorbed → price failed higher. Correct response Expect pullback Expect VWAP fade Expect range rotation 4️⃣ TIMEFRAME USAGE (THIS MATTERS) Chart TF Use Case 1–3m Entry refinement only 5–15m ⭐ PRIMARY 30m Range structure 1H Bias only This study is NOT designed for: Daily charts Very low-liquidity names 5️⃣ HOW IT FITS INTO YOUR SYSTEM (KEY) This study should NEVER stand alone. Best pairings: VWAP / Anchored VWAP Your Auction / Trap studies Gamma / Charm context Range / balance logic Think of it as: “The market tried to go somewhere… and failed.” That’s information — not a trade. 6️⃣ INPUT TUNING (PRACTICAL) Default (balanced) swingLookback: 20 wickRatio: 0.60 autoZoneScale: ON useVWAPfilter: ON useAbsorption: ON More aggressive (scalp) wickRatio: 0.50 confirmWithinBars: 1 More selective (swing) wickRatio: 0.65–0.70 confirmWithinBars: 0 7️⃣ WHAT THIS STUDY MAKES YOU AWARE OF This tool teaches you to see: where liquidity was taken where institutions opposed where retail is trapped where price is vulnerable That awareness is the edge. ✅ 1) WHY YOU MIGHT NOT SEE ARROWS FIRING There are a few reasons this can happen: 🔹 A) SIGNAL LOGIC IS TOO STRICT This indicator only prints arrows when all of these conditions are met: A stop zone is raided (wick touches the zone) Wick shape passes the ratio filter VWAP requirement passes (if enabled) Absorption tell passes (if enabled) Optional confirm within N bars logic passes If your market / timeframe never satisfies all, arrows won’t show. 🔹 B) INPUTS MAY BE TOO SELECTIVE Defaults are conservative: wickRatio = 0.60 confirmWithinBars = 0 Try these relaxed settings: wickRatio -> 0.50 useVWAPfilter -> false useAbsorptionOK -> false confirmWithinBars -> 1 That means: 👉 Loose filter → more possible arrow prints 🔹 C) ZONE DEFINITIONS MAY BE OFF FOR YOUR TF OR MARKET Zones are drawn off the last 20-bar swing. If your chart isn’t finding sharp swings, raids may be rare. Try: swingLookback -> 10 🔹 D) VISUAL SETTINGS BLOCK THEM If showArrows = false or labels are overlapping, arrows may not draw clearly. Set: showArrows -> true 👉 QUICK TEST MODE Apply these settings on a live chart (like /ES 5m): swingLookback = 10 wickRatio = 0.50 useVWAPfilter = false useAbsorptionOK = false confirmWithinBars = 1 Then scroll a few bars back and reload. If arrows still don’t show, tell me: 📌 which ticker 📌 which timeframe 📌 a sample date/time range chatgpt.com
אינדיקטור Pine Script®
מאת ‎SignalArchitecT_AI‎
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG Professional Market Structure & Cycle Analyzer Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles. This is not a buy-sell arrow tool. It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe. 🧠 What Makes Zig Zag ++ SG Different? Most ZigZag indicators only draw lines. Zig Zag ++ SG answers the real questions: Is the trend getting stronger or weaker? Are higher highs still meaningful? How deep are pullbacks in percentage terms? Which stocks recover fast vs stay weak? Is this accumulation, distribution, or reversal? It does this by combining: Market Structure (HH / HL / LH / LL) Consecutive structure counting Gain & fall percentage per swing Clean visual logic (no repaint confusion) 📌 Core Features ✅ 1. Automatic Market Structure Detection Labels every major swing as: HH – Higher High HL – Higher Low LH – Lower High LL – Lower Low This instantly shows whether the market is: Trending Consolidating Distributing Reversing ✅ 2. Consecutive Structure Count (ON by default) Each structure type is counted sequentially: HH (1), HH (2), HH (3)… HL (1), HL (2)… This reveals: Trend maturity Exhaustion zones Early breakdown warnings Example: HH (4) = trend may be overextended HL (3) = healthy trend continuation ✅ 3. Gain & Fall % on Every Swing (ON by default) Every HH, HL, LH, LL shows: Exact % move from the previous pivot This allows you to: Compare pullback depth across stocks Identify leaders (shallow HLs) Spot weak stocks (deep HLs / LHs) Study cycle symmetry Example label: HL (2) -6.4% ✅ 4. Clean, Readable Visual Design 🟩 Green labels → White text 🟥 Red labels → High-contrast white text Optional background trend shading (OFF by default) Works perfectly in dark & light mode Designed for long chart study sessions, not flashy screenshots. ✅ 5. Safe Repaint Logic (Transparent by Design) Uses ZigZag logic intentionally No fake “non-repainting” claims Ideal for analysis, research & planning What you see is structurally correct This indicator is for thinking traders, not signal chasers. ⚙️ Best Settings (Recommended) 🔹 Intraday Trading Timeframe: 5m / 15m Depth: 8–10 Deviation: 3–5 Backstep: 2 🔹 Swing Trading (Most Popular) Timeframe: Daily Depth: 12–15 Deviation: 5 Backstep: 2 🔹 Long-Term / Investing Timeframe: Weekly Depth: 15–20 Deviation: 5–8 Backstep: 3 💡 Tip: Lower depth = more swings Higher depth = cleaner, major cycles 📈 How to Use Zig Zag ++ SG (Practically) 🔹 Trend Strength HH (3+) + HL (2–3) → Strong, healthy trend 🔹 Exhaustion Warning HH (4+) → Risk of distribution or slowdown 🔹 Pullback Quality HL −3% to −7% → Strong stock HL −12% to −20% → Weak hands / fragile trend 🔹 Reversal Confirmation LH followed by LL (2+) → Trend change likely 🧪 Who Is This Indicator For? ✅ Swing traders ✅ Positional traders ✅ Long-term investors ✅ Market structure students ✅ Stock researchers ✅ Anyone tired of noisy indicators ❌ Not for: People wanting instant buy/sell arrows Scalpers chasing 1-minute signals “Magic indicator” seekers 💎 Why This Is Worth Purchasing Built with Pine Script v6 best practices Solves real market questions Helps avoid: Buying late Selling early Holding weak stocks too long Encourages process-driven trading One-time learning tool you’ll use for years Most traders lose money not because of entries — but because they misread structure and cycles. Zig Zag ++ SG fixes that.
אינדיקטור Pine Script®
מאת ‎SilentCompounder‎
9
XAUUSD 15m - Clean Signals (Anti-Spam v3)This **XAUUSD 15m – Clean Signals (Anti-Spam v3)** is a trend-aligned signal indicator built around an **EMA basis + ATR channel**. It aims to produce **fewer but cleaner** long/short prompts. A 7-EMA acts as the basis line, ATR forms inner/outer bands, and a 50-EMA provides a trend filter. By default, it uses **ADX strength filtering** plus a **confirmation candle** rule to avoid choppy conditions and weak breakouts. Signals come in three types: **DR (pullback → reversal back above/below the basis)**, **MR (pierce the inner band then reclaim it)**, and **BO (inner-band breakout, off by default due to over-triggering)**. To control frequency, it adds a **cooldown (minimum bars between signals)** and a strict **arming/reset de-duplication**: after a same-direction signal fires, it won’t fire again until price “resets” by touching the inner band or the basis (user-selectable). A “room to outer band” filter helps prevent chasing near extremes. Overall, it’s designed for disciplined 15-minute momentum-pullback entries, especially during liquid sessions like London.
אינדיקטור Pine Script®
מאת ‎xuziyu409‎
Performance Calculator by [RG]PERFORMANCE CALCULATOR INDICATOR ============================== OVERVIEW A professional-grade TradingView indicator that visualizes trading performance across multiple timeframes with an intuitive, color-coded calendar interface. KEY BENEFITS FOR TRADERS Pattern Recognition: • Identify seasonal trends and recurring patterns in asset performance • Spot consistent profit/loss periods (monthly, weekly, daily) • Recognize which months or weeks historically perform best Performance Analysis: • Instantly visualize win/loss streaks across any timeframe • Compare year-over-year performance at a glance • Track cumulative returns for selected periods Strategic Planning: • Make data-driven decisions based on historical performance • Identify optimal entry/exit timing based on seasonal patterns • Plan trading strategies around historically strong/weak periods Risk Management: • Identify periods of high volatility or consistent losses • Adjust position sizing based on historical performance data • Avoid trading during historically unfavorable periods Flexible Analysis Views: • Daily View - Analyze each trading day within a specific month • Weekly View - See all 52 weeks of performance for any year • Monthly View - 12-month performance snapshot for annual analysis • Yearly View - Multi-year comparison to identify long-term trends • Custom Period - Define your own date range for specific analysis Professional Visualization: • Color-coded cells with gradient intensity (green for profits, red for losses) • Adjustable sensitivity for different asset volatility levels • Clean design for easy readability • Separate pane display - no chart clutter User-Friendly Interface: • Comprehensive tooltips explain every setting • Intuitive input organization by view type • Customizable colors, sizing, and positioning • One-click view switching between timeframes CUSTOMIZATION OPTIONS • Positioning - Place calendar anywhere on your chart (top, middle, bottom) • Color Schemes - Customize profit/loss colors to match your preferences • Gradient Sensitivity - Adjust color intensity based on asset volatility • Cell Sizing - Scale up/down for better visibility on any screen • Text Size - Four size options for optimal readability USE CASES • Swing Traders - Identify best days of the month for entries/exits • Position Traders - Analyze monthly and yearly performance trends • Seasonal Traders - Exploit recurring seasonal patterns • Portfolio Managers - Compare multi-year performance across assets • Risk Analysts - Study historical drawdown periods TECHNICAL FEATURES • Non-repainting calculation methodology • Proper close-to-close return calculations • Handles up to 100 historical data points • Compatible with all TradingView symbols • Works on stocks, forex, crypto, commodities, indices DISCLAIMER - FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY This indicator is provided as a tool for historical analysis and educational research. It is NOT financial advice and should NOT be the sole basis for any trading decisions. • Past performance does not guarantee future results • Markets are dynamic and historical patterns may not repeat • Always conduct your own analysis and risk assessment • Consult with qualified financial professionals before making investment decisions • The developer assumes no liability for any trading losses incurred Use this tool to enhance your understanding of market behavior, not as a trading system. DEVELOPER Rajat Gupta Contact: gupta.rajat7@gmail.com For questions, feedback, or feature requests, please reach out via email. GETTING STARTED 1. Add the indicator to your TradingView chart 2. Choose your desired view mode (Daily, Weekly, Monthly, Yearly, or Custom) 3. Configure the time period you want to analyze 4. Adjust visual settings to your preference 5. Analyze the color-coded performance calendar The indicator will automatically calculate and display historical returns in an easy-to-read format. Version: 1.0 | Last Updated: January 2025
אינדיקטור Pine Script®
מאת ‎tarun_tkg‎
4 EMA Perfect Order + Strength + MTFリリースノート 🇯🇵 日本語説明文 📌 スクリプト概要 このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー（PO）」を判定し、 PO が確定したタイミングで矢印とアラートを表示します。 さらに、PO の強さ（短期と長期 EMA の乖離率）を数値化して表示し、 上位足（MTF）でも同様の判定と強さ表示が可能です。 🔧 機能一覧 • EMA10/20/40/80 のライン表示（黒・赤・オレンジ・青） • パーフェクトオーダー（Bull/Bear）の自動判定 • PO 確定時に矢印（▲/▼）を表示 • PO の強さ（乖離率）をリアルタイム表示 • 上位足（MTF）での PO 判定と強さ表示 • アラート条件付き（Bull/Bear PO 確定時） • 背景は白で視認性を重視 📈 パーフェクトオーダーとは？ • Bull PO（上昇トレンド） EMA10 > EMA20 > EMA40 > EMA80 • Bear PO（下降トレンド） EMA10 < EMA20 < EMA40 < EMA80 PO が確定したバーで矢印とアラートが発生します。 🧠 活用例 • PO の強さを使ってトレンドの勢いを測定 • 上位足の PO と一致しているか確認して精度を向上 • トレンドフォロー戦略のフィルターとして利用 • EMA の並びが崩れたら背景色を塗るなどの拡張も可能 🇺🇸 English Description 📌 Overview This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80. When a PO is confirmed, it displays arrows and triggers alerts. It also calculates the strength of the PO (based on EMA divergence) and supports multi‑timeframe (MTF) analysis. 🔧 Features • Displays EMA10/20/40/80 with color coding (black, red, orange, blue) • Detects Bull and Bear Perfect Order conditions • Shows arrows (▲/▼) when PO is confirmed • Displays PO strength as a percentage (EMA10 vs EMA80 divergence) • Supports MTF PO detection and strength display • Includes alert conditions for Bull/Bear PO confirmation • Clean white background for better visibility 📈 What is a Perfect Order? • Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80 • Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80 Arrows and alerts are triggered only when the PO condition is newly confirmed. 🧠 Use Cases • Measure trend momentum using PO strength • Confirm alignment with higher timeframe trends • Use as a trend‑following filter • Can be extended with background coloring or histogram strength display
אינדיקטור Pine Script®
מאת ‎cupship‎
Order CHULE MORENO Nearby liquidity refers to localized concentrations of resting orders positioned close to the current market price, typically derived from lower or equivalent timeframe market structure. These liquidity pools commonly originate from: Recent swing highs and swing lows Equal highs (EQH) and equal lows (EQL) Short-term range boundaries Price interacts with nearby liquidity to facilitate order execution and generate short-term displacement. Once this liquidity is absorbed, price often transitions toward higher-timeframe or more dominant liquidity pools. Nearby liquidity serves as short-term fuel, not directional bias. Directional intent is confirmed only after structural reaction or displacement.
אינדיקטור Pine Script®
מאת ‎mellimoreno‎