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Multi EMA Touch Alert (Realtime / Alertcondition)🇺🇸 English Description (for TradingView Publication) Title: Multi EMA Touch Alert (Realtime / Alertcondition) This script detects real-time price touches on multiple EMAs and provides clean, reliable alerts through TradingView’s alertcondition system. It is designed for traders who want fast reactions, minimal chart clutter, and precise touch-based notifications. Features • Real-time EMA touch detection (no need to wait for candle close) • Supports multiple EMAs (default: 10 / 20 / 40 / 80) • Touch logic works from both above and below • Clean visual markers that appear only in real-time • Fully compatible with TradingView’s alert creation panel • “Any EMA Touch” option for combined alerts How it works The script checks whether the current candle’s high–low range intersects each EMA. When a touch occurs, a small colored marker appears, and the corresponding alertcondition becomes true. You can set alerts for individual EMAs or for all EMAs at once. Ideal for scalpers, breakout traders, and anyone who relies on EMA reactions for timing entries. 🇯🇵 日本語説明文（TradingView公開用） タイトル： Multi EMA Touch Alert（リアルタイム／アラート設定対応） このスクリプトは、複数のEMAに価格がタッチした瞬間をリアルタイムで検出し、TradingViewのアラート設定画面から自由に通知を作成できるインジケーターです。 チャートをシンプルに保ちながら、必要なタイミングだけ確実にアラートを受け取りたいトレーダー向けに最適化されています。 特徴 • 足確定を待たないリアルタイムタッチ検出 • 複数EMAに対応（初期設定：10 / 20 / 40 / 80） • 上下どちらからのタッチにも対応 • リアルタイムのみ印を表示し、過去チャートが散らからない • TradingViewのアラート作成画面で個別・まとめて設定可能 • 「Any EMA Touch」で全EMAを一括監視も可能 動作概要 ローソク足の高値〜安値がEMAに触れた瞬間にタッチ判定が発生し、 リアルタイムで小さなマーカーが表示され、alertconditionがtrueになります。 アラートはEMAごと、または全EMAまとめて設定できます。 スキャルピングや短期トレードで、EMA反応を重視する方に最適です。
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cupship tarafından
LogTrend Retest EngineLogTrend Retest Engine (LTRE) LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering . Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends. 🔹 How It Works Logarithmic Regression Core Performs linear regression on log-transformed price and time Produces a structurally accurate trend midline that scales with price growth Volatility-Adjusted Deviation Bands Dynamic upper and lower zones based on statistical deviation ATR weighting expands or contracts bands as volatility changes Adaptive Lookback (Optional) Automatically adjusts regression length using volatility pressure Faster response in high-volatility environments, smoother in consolidation 🔹 Market Regime Detection LTRE actively filters conditions using: R² trend strength (trend quality, not just slope) Volatility compression vs expansion User-defined minimum trend strength threshold Signals are disabled during ranging or low-quality conditions . 🔹 Breakout → Retest Signal Logic LTRE does not chase breakouts. Signals trigger only when: 1. Price breaks cleanly outside the deviation band 2. Market regime is confirmed as trending 3. Price performs a controlled retest within a user-defined tolerance BUY Break above upper band → retest → trend confirmed SELL Break below lower band → retest → trend confirmed This structure is designed to reduce false breakouts and late entries. 🔹 Visual & Projection Tools Clean midline and deviation bands Optional filled zones Optional future trend projection for forward structure planning On-chart statistics for trend strength and volatility compression 🔹 Best Use Cases Trend continuation & pullback strategies Crypto, Forex, Indices, and equities Works best on 15m and higher timeframes ⚠️ Disclaimer LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context. Built for traders who wait for structure — not noise.
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Cryptobingbong tarafından
MA Zone Candle Color 8.0This indicator plots a selected moving average (any type: EMA, VWAP, HMA, ALMA, custom composites, RVWAP, etc.) and creates a symmetrical grid of horizontal levels/bands spaced at precise, predefined increments around it. The spacing between levels can be set in two modes: Percent (%) of the current MA value Points (fixed price units) The available increment sizes follow a specific geometric-like sequence (very similar to Gann square-of-9 derived steps), giving you clean, repeatable distance choices such as 0.61, 1.22, 2.44, 4.88, 9.77 points (or their percentage equivalents). Core purpose It visually marks exactly how far price has moved away from your chosen moving average — in multiples of the increment you selected. Main practical use cases - 1. Measuring distance from key reference level VWAP or EMA(20–89), Points mode, 1.22–4.88 incr. "Price is currently 3.5 increments above VWAP" → quick context for context 2. Identifying structured price levels Points mode + 2.44 or 4.88 increment Treat every band as potential support/resistance or target zone 3. Comparing extension size across instruments Percent mode, same increment value across symbols Makes extensions visually comparable (BTC vs ETH vs SPX vs NQ) 4. Session / intraday structure mapping RVWAP or session VWAP + Points mode See how many "steps" price has made since session open / reset 5. Setting objective take-profit / scale-out levels Any MA + medium increment (4.88–19.53 points) "I'll take partials at +2×, +4×, +6× increment" — very mechanical 6. Volatility-adjusted grid (crypto/forex) Points mode with larger increments Prevents bands from becoming too wide/narrow during huge volatility swings Most common combo MA: VWAP or RVWAP (session/day reset) Mode: Points Increment: 1.220704 or 2.441408 or 4.8828125 Bands per side: 30–60 → Creates a clean, evenly-spaced ladder of levels around the daily/intraday average that traders can use purely for distance measurement and objective level marking. In short: It's a very precise, repeatable distance ruler built around any moving average you choose — nothing more, nothing less.
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surfchaser tarafından
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
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cupship tarafından
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description Purpose This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context. Data Sources All fundamentals are pulled from TradingView’s financial dataset using: request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on) Where: "FQ" = Quarterly frequency barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available) Financial fields used: FREE_CASH_FLOW (FCF) ENTERPRISE_VALUE (EV) TOTAL_SHARES_OUTSTANDING DILUTED_SHARES_OUTSTANDING Market cap is derived (not pulled directly in this version): marketCap = totalSharesOutstanding * close (Only used as a reference in the script; the yield itself is based on EV.) Core Calculation 1) FCF Yield (Net) The base yield is: FCF Yield ( % ) = FCF Enterprise Value × 100 FCF Yield(%)= Enterprise Value FCF ​ ×100 Implementation detail: If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors. Dilution Adjustment (Optional Series) 2) Dilution Ratio The script estimates dilution impact using: dilutionRatio = Total Shares Outstanding Diluted Shares Outstanding dilutionRatio= Diluted Shares Outstanding Total Shares Outstanding ​ Notes: If dilutedSharesOutstanding is missing or zero, the ratio becomes na. 3) Diluted FCF Yield If the ratio indicates dilution (<= 1), yield is scaled down: FCF Yield Diluted = FCF Yield × dilutionRatio FCF Yield Diluted=FCF Yield×dilutionRatio Else (ratio > 1 or na), the script defaults to the net yield: FCF Yield Diluted = FCF Yield FCF Yield Diluted=FCF Yield Practical interpretation: More dilution → lower ratio → lower diluted yield. If dilution fields are not reliable for a ticker, the script falls back to the base yield. Plotting Two series are shown: FCF Yield Net: plotted as columns (bars) FCF Yield Diluted: plotted as an area overlay This makes it easy to see: Step changes when new quarter data arrives Whether dilution meaningfully reduces the yield Labels (Per-bar) When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level. Important technical point: Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting: str.tostring(fcfYieldDiluted / 100, format.percent) Rolling History & Averages 1) Rolling storage The script maintains a rolling array of the most recent 40 quarterly values: 40 quarters ≈ 10 years Each time a non-NA quarterly yield appears: It pushes it into the array If array length exceeds 40, it removes the oldest value 2) Trailing averages (quarter windows) Averages are computed over the most recent N quarters: 1Q (latest quarter value) 4Q ≈ 1 year 8Q ≈ 2 years 20Q ≈ 5 years 40Q ≈ 10 years If fewer than N values exist, that average is na. End-of-chart Summary Label On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above. Placement logic The label is positioned slightly to the right of the current bar: Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future. frequencyUnit is computed as: frequencyUnit ≈ Seconds in 12 months Seconds per chart bar ÷ 4 frequencyUnit≈ Seconds per chart bar Seconds in 12 months ​ ÷4 This is only for visual spacing, not calculation correctness. Limitations / Notes The yield series is “step-like” and updates only when new quarterly fundamentals are available. For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield. EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
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mfeldyriza tarafından
Crash Prevention OpenSource by exp3rtsOpen Source Version - no updates! Crash Prevention OpenSource by exp3rts – Automated Exit Strategy for TradingView This indicator allows you to automatically close positions based on dynamic price levels derived from the previous candle with a configurable offset. Perfect for risk management and automated “hard stop” exits. Key Features: Flexible Exit Directions: Choose to trigger exits for Long, Short, or Both directions. Dynamic Exit Levels: Lines are automatically calculated above/below the previous candle plus/minus a user-defined offset in points. Visual Cues: Clear arrows indicate the exact bar where price touched the exit line. Session-Independent: Works on any chart and timeframe without manual adjustments. Webhook Alerts: Sends JSON alerts on touch, enabling integration with external systems or bots. Auto-Close Logic: Ensures positions are closed immediately when the threshold is breached, keeping trades in check. How it works: For Long exits, the line is drawn below the previous bar’s low minus the offset. For Short exits, the line is drawn above the previous bar’s high plus the offset. When price crosses the line, the position is closed, an arrow is plotted on the chart, and an alert is fired. Ideal for traders who want strict stop management or automated exit conditions while keeping visual clarity on the chart.
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exp3rts tarafından
XAUUSD lucky trendThis version introduces a strict midline filter to keep signals trend-aligned without revealing any specific settings. Long signals are permitted only when price is clearly established on the bullish side of the midline for the entire candle, so brief dips through the line are ignored. Short signals are permitted only when price is clearly established on the bearish side of the midline for the entire candle, so brief spikes through the line are ignored. This helps avoid whipsaws around the midline and reduces counter-trend entries, especially during choppy transitions. All other components of the indicator remain unchanged: the original signal logic, quality filters, and frequency controls still determine when a setup is valid. The result is fewer but cleaner prompts that better reflect sustained directional bias rather than temporary noise around the midline.
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xuziyu409 tarafından
UT Bot Alerts with R-Targets & Results< DONE BY RM ALOWAIS > Indicator Overview This indicator provides rule-based BUY and SELL signals with automatic risk management levels. Each trade setup includes a predefined Stop Loss and up to three Take Profit targets (TP1, TP2, TP3), allowing traders to manage risk and scale exits systematically. How It Works BUY and SELL signals are generated based on internal market conditions. Each signal plots: Entry point Stop Loss (SL) Take Profit levels (TP1, TP2, TP3) After price action completes, the indicator displays the actual result of the trade: Result: TP1 / TP2 / TP3 / SL Exit labels may appear when a trade is closed early due to invalidation or opposite conditions. Key Features Non-repainting signals Built-in risk-to-reward structure Visual trade tracking with clear outcomes Suitable for intraday and swing trading Works on multiple markets and timeframes Usage Notes This indicator is a decision-support tool, not financial advice. Best results are achieved when used with proper risk management and higher-timeframe confirmation. Performance may vary depending on market conditions (trend vs range). Disclaimer This script is provided for educational and informational purposes only. The author is not responsible for any financial losses. Always test and validate before using in live trading.
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alowaisgamer tarafından
Portfolio TrackerPortfolio Tracker – Manual Position Dashboard This indicator provides a clean, non-intrusive dashboard for tracking open equity positions directly on your chart. You can manually enter up to 20 positions (symbol, quantity, and buy price), and the dashboard will automatically compute: - Invested amount per position - Live market price - Current market value - Profit / Loss (absolute) - Profit / Loss (%) - Portfolio-level totals The dashboard updates on the latest bar only, ensuring stable values and minimal redraw overhead. Visuals : - Supports up to 20 simultaneous positions - Clear green / red P&L highlighting per position - Portfolio totals calculated in real time - Adjustable dashboard size (Small / Normal / Large) - User-selectable dashboard position (top/bottom, left/right) No trading logic, no signals, no repainting — tracking only
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vikram_bains tarafından
Delta Hedging Pressure📊 COT Delta Hedging Pressure – Institutional Sentiment Indicator This indicator visualizes institutional hedging pressure by aggregating delta-style positioning into a clean, session-aware sentiment framework. Instead of guessing direction, it shows who is likely hedging vs. pressing, helping traders align intraday execution with higher-timeframe positioning. 🔍 What This Indicator Does Calculates cumulative hedging pressure using price-based delta logic Classifies market state into: Bullish (positive hedge pressure) Bearish (negative hedge pressure) Neutral (balanced flow) Resets cleanly by session or user-defined period Visualizes sentiment using: Background shading Labels Cumulative plots 🧠 How Traders Use It Directional bias filter (trade only with sentiment) Context for FVGs, liquidity raids, and pullbacks Avoids chop by identifying neutral hedge conditions Pairs especially well with: XAUUSD Index CFDs Futures / CFD hybrids ⚙️ Key Features Session-aware cumulative logic Adjustable sensitivity and lookback Clean visual design (no clutter) Non-repainting calculations Works on 1m → HTF ⚠️ Important Notes This is a context tool, not a signal generator Best used alongside price structure and risk management Designed for discipline and alignment, not overtrading 🎯 Ideal For Scalpers & intraday traders Traders using: Fair Value Gaps (FVG) Liquidity sweeps Session-based models Traders transitioning from prop logic to personal capital 🧩 Final Thought This indicator answers one question: “Is the market hedging or pressing — and should I be aggressive or patient?” If you trade with structure, this keeps you on the right side.
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uzair2join tarafından
eBacktesting - Learning: Power of 3eBacktesting - Learning: Power of 3 highlights ICT’s “Power of 3” intraday story: - Accumulation: price builds a quiet range - Manipulation: a sweep grabs liquidity above or below that range (the classic stop hunt) - Distribution: the real move expands away from that range, often in the opposite direction of the sweep Use it to train your eyes to recognize when price is likely “setting up” vs when the session is actually “moving,” and to build a clean daily narrative around liquidity and expansion. These indicators are built to pair perfectly with the 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.
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eBacktesting tarafından