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EMA Cloud 9/30/60 – Visual Trend Strength - CryptowitchThis indicator displays three Exponential Moving Averages (EMAs): 🔸 EMA 9 (short-term) 🔸 EMA 30 (mid-term) 🔸 EMA 60 (long-term) A dynamic cloud is drawn between EMA 9 and EMA 30 to visually highlight trend momentum: Green cloud = bullish momentum (EMA 9 above EMA 30) Red cloud = bearish momentum (EMA 9 below EMA 30) This cloud setup helps quickly identify trend direction, momentum shifts, consolidation zones, and potential entry/exit points. Clean, visual, and effective – suitable for scalpers, swing traders, and trend followers alike.
อินดิเคเตอร์ Pine Script®
โดย CryptoWitch_NL
Emre AOI Zonen Daily & Weekly (mit Alerts, max 60 Pips)This TradingView indicator automatically highlights Areas of Interest (AOI) for Forex or other markets on Daily and Weekly timeframes. It identifies zones based on the high and low of the previous period, but only includes zones with a width of 60 pips or less. Features: Daily AOI Zones in blue, Weekly AOI Zones in yellow with 20% opacity, so candlesticks remain visible. Persistent zones: AOI boxes stay on the chart until the price breaks the zone. Multiple zones: Supports storing multiple Daily and Weekly AOIs simultaneously. Break Alerts: Sends alerts whenever a Daily or Weekly AOI is broken, helping traders spot key levels in real-time. Fully automated: No manual drawing needed; zones are updated and extended automatically. Use Case: Ideal for traders using a top-down approach, combining Weekly trend analysis with Daily entry signals. Helps identify support/resistance, supply/demand zones, and critical price levels efficiently.
อินดิเคเตอร์ Pine Script®
โดย THEWALKINGMAN
1
EMA (10,20,60) + Bollinger BandsCombination of bollinger bands and exponential moving averages (10, 20, 60) The coloring is optimized for dark background, and it is editable This indicator combined 3 exponential moving average lines and bollinger bands . The EMA lines can be add or deleted in pine editor, and its parameters can be changed too. Same to the bollinger bands . Defaulted value for BB is 20SMA with 2 standard deviations. Useful as a supplmentary indicators
อินดิเคเตอร์ Pine Script®
โดย cslcaspar
Smart Money Alpha Signals (Performance Dashboard) Smart Money Alpha Signals: Identifying Market Leaders & Generating Alpha GMP Alpha Signals (Global Market Performance Alpha) is a specialized analysis tool designed not merely to find stocks that are rising, but to identify "Alpha" assets—Market Leaders that defend their price or rise even under adverse conditions where the market index falls or consolidates. This indicator visualizes the concept of Comparative Relative Strength (RS) and Smart Money accumulation patterns, helping traders capture profit opportunities even during bearish market phases. Key Objectives (Purpose) Alpha Capture: Identifying assets generating 'excess returns' that outperform the market Beta. Smart Money Tracking: Detecting traces of 'institutional buying' and 'accumulation' that defend prices during index plunges. Decoupling Identification: Spotting assets moving on independent catalysts or momentum, regardless of the broader market direction. Stop Hunt Filtering: Distinguishing 'fake drops' where price dips temporarily, but Relative Strength remains intact. Dashboard Guide Interpretation of the information panel (Table) displayed on the chart. Rel. Performance: Shows the excess return compared to the index over the set period. (Positive/Green = Stronger than the market). Decoupling Strength: The correlation coefficient with the index. Lower values (0 or negative) indicate movement independent of market risk. Bullish: The count/rate of rising or limiting losses when the index drops sharply (e.g., < -0.5%). (Gold = Market Crash Leader). Defended: The count/rate of holding support levels when the index shows mild weakness (e.g., < -0.05%). (Gold = Strong Accumulation). Bench. Defense: The defense rate of the comparison benchmark (e.g., TSLA, ETH). Your target asset must be higher to be considered the sector leader. Input Options & Settings Guide You can optimize settings according to your trading style and asset class (Stocks/Crypto). (1) Main Settings Major Index: The baseline market index for comparison. (US Stocks: NASDAQ:NDX or TVC:SPX / Crypto: BINANCE:BTCUSDT) Benchmark Symbol: A competitor within the sector. (e.g., Set NVDA when analyzing Semiconductor stocks). Correlation Lookback: The lookback period for judging decoupling. (Default: 30) Performance Lookback: The number of bars to calculate cumulative returns and defense rates. (Default: 60) (2) Dashboard Thresholds These settings define the criteria for what qualifies as "Defended" or "Bullish". Performance (Max %): Used to find assets that haven't pumped yet. Signals trigger only when Alpha is below this value. Defended Logic: Index Drop Condition: The index must drop by at least this amount to start checking. (e.g., -0.05%) Asset Buffer: How much the asset must outperform the index drop. (Example: If Index drops -1.0% and Buffer is 0.2%, the asset must be at least -0.8% to count as 'Defended'). Bullish Logic: Measures resilience during steeper market dumps (e.g., -0.5% drop) compared to the Defended Logic. Volume Settings: Decides whether to count Defended/Bullish instances only when accompanied by volume above the SMA. (3) Signal Logic Settings (Crucial) Customize conditions to trigger alerts. The choice between AND / OR is crucial. AND: Condition must be met SIMULTANEOUSLY with other active conditions (Conservative/High Certainty). OR: Condition triggers the signal INDEPENDENTLY (Aggressive/Opportunity Capture). Performance: Is the relative performance within the threshold? (Basic Filter). Decoupling: Has the correlation dropped? (Start of independent move). Bullish Rate: Is the Bullish rate high during market dumps? Defended Rate (High): (Recommended) Is there continuous price defense occurring? (Accumulation detection). Defended Rate (Low): (Warning) Has the defense rate broken down? (For Stop Loss). Defended > Benchmark: Is it stronger than the Benchmark (2nd tier)? Volume Spike: Has volume surged compared to the average? (Institutional involvement). RSI Oversold: Is it in oversold territory? (Counter-trend trading). Decoupling Move: Does the current bar show the "Index Down / Asset Up" pattern? Min USD Volume: Transaction value filter (To exclude low liquidity assets).
อินดิเคเตอร์ Pine Script®
โดย BIGTAKER
2
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis. This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality: 🎯 Core Features 1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles: MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends MA5 (21 EMA): Short-term anchor - critical pivot point MA6 (34 EMA): Intermediate support/resistance MA7 (50 EMA): Medium-term bridge between short and long trends MA8-MA9 (89, 100): Transition zone indicators MA10-MA11 (150, 200): Long-term anchors for major trend identification Each MA is fully customizable: Type: SMA, EMA, WMA, TMA, RMA Color, width, and enable/disable toggle 📊 Signal Generation System Three Signal Tiers: Short-Term Signals (ST) Trigger: MA8 (EMA 8) crossing MA21 (EMA 21) Filters Applied: ✅ ATR-based post-cross confirmation (optional) ✅ Momentum confirmation (RSI > 50, MACD positive) ✅ Volume spike requirement ✅ HTF (Higher Timeframe) alignment ✅ Strong candle body ratio (>50%) ✅ Multi-MA confirmation (3+ MAs supporting direction) ✅ Price beyond MA21 with conviction ✅ Minimum bar spacing (prevents signal clustering) ✅ Consolidation filter ✅ Whipsaw protection (ATR-based price threshold) Medium-Term Signals (MT) Trigger: MA21 crossing MA50 Less strict filtering for swing trades Major Signals Golden Cross: MA50 crossing above MA200 (major bullish) Death Cross: MA50 crossing below MA200 (major bearish) 🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover This prevents false signals during low-volatility consolidation.2. Momentum Filters RSI (14) MACD Histogram Rate of Change (ROC) Composite momentum score (-3 to +3) 3. Volume Analysis Volume spike detection (2x MA) Volume classification: LOW, MED, HIGH, EXPL Directional volume confirmation 4. Higher Timeframe Alignment HTF1: 60-minute (default) HTF2: 4-hour (optional) HTF3: Daily (optional) Signals only trigger when current TF aligns with HTF trend 5. Market Structure Detection Break of Structure (BOS): Price breaking recent swing highs/lows Order Blocks (OB): Institutional demand/supply zones Fair Value Gaps (FVG): Imbalance areas for potential fills 📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional): Price Distance from Key MAs vs MA21, MA50, MA200 (percentage) Color-coded: green (above), red (below) MA Alignment Score Calculates % of MAs in proper order 🟢 for bullish alignment, 🔴 for bearish Trend Strength Based on separation between MA21 and MA200 NONE/WEAK/MODERATE/STRONG/EXTREME Consolidation Detection Identifies low-volatility ranges Prevents signals during sideways markets ⚙️ Customization OptionsFilter Toggles: ☑️ Require Momentum ☑️ Require Volume ☑️ Require HTF Alignment ☑️ Use ATR post-cross confirmation ☑️ Whipsaw filter Min bars between signals (default: 5) Dashboard Styling: 9 position options 6 text sizes Custom colors for header, rows, and text Toggle individual metrics on/off 🎨 Visual Elements Signal Labels: ST▲/ST▼ (green/red) - Short-term MT▲/MT▼ (blue/orange) - Medium-term GOLDEN CROSS / DEATH CROSS - Major signals Volume Spikes: Small labels showing volume class + direction Example: "HIGH🟢" or "EXPL🔴" Market Structure: Dashed lines for Break of Structure levels Automatic detection of swing highs/lows 🔔 Alert Conditions Pre-configured alerts for: Short-term bullish/bearish crosses Medium-term bullish/bearish crosses Golden Cross / Death Cross Volume spikes 💡 Key Strengths Institutional-Grade Filtering: Multiple confirmation layers reduce false signals Multi-Timeframe Analysis: Ensures alignment across timeframes Adaptive to Market Conditions: ATR-based thresholds adjust to volatility Comprehensive Dashboard: All critical metrics in one view Highly Customizable: 100+ input parameters Signal Quality Over Quantity: Strict filters prioritize high-probability setups ⚠️ Usage Recommendations Best for: Swing trading and position trading Timeframes: Works on all TFs, optimized for 15m-Daily Markets: Stocks, Forex, Crypto, Indices Signal Frequency: Conservative (quality over quantity) Combine with: Support/resistance, price action, risk management 🔧 Technical Implementation Notes Uses Pine Script v6 syntax Efficient calculation with minimal repainting Maximum 500 labels for performance Security function for HTF data (no lookahead bias) Array-based MA alignment calculation State variables to track signal spacing This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment). The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
อินดิเคเตอร์ Pine Script®
โดย lohanineeraj
LibTmFrLibrary "LibTmFr" This is a utility library for handling timeframes and multi-timeframe (MTF) analysis in Pine Script. It provides a collection of functions designed to handle common tasks related to period detection, session alignment, timeframe construction, and time calculations, forming a foundation for MTF indicators. Key Capabilities: 1. **MTF Period Engine:** The library includes functions for managing higher-timeframe (HTF) periods. - **Period Detection (`isNewPeriod`):** Detects the first bar of a given timeframe. It includes custom logic to handle multi-month and multi-year intervals where `timeframe.change()` may not be sufficient. - **Bar Counting (`sinceNewPeriod`):** Counts the number of bars that have passed in the current HTF period or returns the final count for a completed historical period. 2. **Automatic Timeframe Selection:** Offers functions for building a top-down analysis framework: - **Automatic HTF (`autoHTF`):** Suggests a higher timeframe (HTF) for broader context based on the current timeframe. - **Automatic LTF (`autoLTF`):** Suggests an appropriate lower timeframe (LTF) for granular intra-bar analysis. 3. **Timeframe Manipulation and Comparison:** Includes tools for working with timeframe strings: - **Build & Split (`buildTF`, `splitTF`):** Functions to programmatically construct valid Pine Script timeframe strings (e.g., "4H") and parse them back into their numeric and unit components. - **Comparison (`isHigherTF`, `isActiveTF`, `isLowerTF`):** A set of functions to check if a given timeframe is higher, lower, or the same as the script's active timeframe. - **Multiple Validation (`isMultipleTF`):** Checks if a higher timeframe is a practical multiple of the current timeframe. This is based on the assumption that checking if recent, completed HTF periods contained more than one bar is a valid proxy for preventing data gaps. 4. **Timestamp Interpolation:** Contains an `interpTimestamp()` function that calculates an absolute timestamp by interpolating at a given percentage across a specified range of bars (e.g., 50% of the way through the last 20 bars), enabling time calculations at a resolution finer than the chart's native bars. --- **DISCLAIMER** This library is provided "AS IS" and for informational and educational purposes only. It does not constitute financial, investment, or trading advice. The author assumes no liability for any errors, inaccuracies, or omissions in the code. Using this library to build trading indicators or strategies is entirely at your own risk. As a developer using this library, you are solely responsible for the rigorous testing, validation, and performance of any scripts you create based on these functions. The author shall not be held liable for any financial losses incurred directly or indirectly from the use of this library or any scripts derived from it. buildTF(quantity, unit)   Builds a Pine Script timeframe string from a numeric quantity and a unit enum. The resulting string can be used with `request.security()` or `input.timeframe`.   Parameters:      quantity (int) : series int Number to specifie how many `unit` the timeframe spans.      unit (series TFUnit) : series TFUnit The size category for the bars.   Returns: series string A Pine-style timeframe identifier, e.g. "5S" → 5-seconds bars "30" → 30-minute bars "120" → 2-hour bars "1D" → daily bars "3M" → 3-month bars "24M" → 2-year bars splitTF(tf)   Splits a Pine‑timeframe identifier into numeric quantity and unit (TFUnit).   Parameters:      tf (string) : series string Timeframe string, e.g. "5S", "30", "120", "1D", "3M", "24M".   Returns: quantity series int The numeric value of the timeframe (e.g., 15 for "15", 3 for "3M"). unit series TFUnit The unit of the timeframe (e.g., TFUnit.minutes, TFUnit.months). Notes on strings without a suffix: • Pure digits are minutes; if divisible by 60, they are treated as hours. • An "M" suffix is months; if divisible by 12, it is converted to years. autoHTF(tf)   Picks an appropriate **higher timeframe (HTF)** relative to the selected timeframe. It steps up along a coarse ladder to produce sensible jumps for top‑down analysis. Mapping → chosen HTF: ≤ 1 min → 60 (1h) ≈ ×60 ≤ 3 min → 180 (3h) ≈ ×60 ≤ 5 min → 240 (4h) ≈ ×48 ≤ 15 min → D (1 day) ≈ ×26–×32 (regular session 6.5–8 h) > 15 min → W (1 week) ≈ ×64–×80 for 30m; varies with input ≤ 1 h → W (1 week) ≈ ×32–×40 ≤ 4 h → M (1 month) ≈ ×36–×44 (~22 trading days / month) > 4 h → 3M (3 months) ≈ ×36–×66 (e.g., 12h→×36–×44; 8h→×53–×66) ≤ 1 day → 3M (3 months) ≈ ×60–×66 (~20–22 trading days / month) > 1 day → 12M (1 year) ≈ ×(252–264)/quantity ≤ 1 week → 12M (1 year) ≈ ×52 > 1 week → 48M (4 years) ≈ ×(208)/quantity = 1 M → 48M (4 years) ≈ ×48 > 1 M → error ("HTF too big") any → error ("HTF too big") Notes: • Inputs in months or years are restricted: only 1M is allowed; larger months/any years throw. • Returns a Pine timeframe string usable in `request.security()` and `input.timeframe`.   Parameters:      tf (string) : series string Selected timeframe (e.g., "D", "240", or `timeframe.period`).   Returns: series string Suggested higher timeframe. autoLTF(tf)   Selects an appropriate **lower timeframe LTF)** for intra‑bar evaluation based on the selected timeframe. The goal is to keep intra‑bar loops performant while providing enough granularity. Mapping → chosen LTF: ≤ 1 min → 1S ≈ ×60 ≤ 5 min → 5S ≈ ×60 ≤ 15 min → 15S ≈ ×60 ≤ 30 min → 30S ≈ ×60 > 30 min → 60S (1m) ≈ ×31–×59 (for 31–59 minute charts) ≤ 1 h → 1 (1m) ≈ ×60 ≤ 2 h → 2 (2m) ≈ ×60 ≤ 4 h → 5 (5m) ≈ ×48 > 4 h → 15 (15m) ≈ ×24–×48 (e.g., 6h→×24, 8h→×32, 12h→×48) ≤ 1 day → 15 (15m) ≈ ×26–×32 (regular sessions ~6.5–8h) > 1 day → 60 (60m) ≈ ×(26–32) per day × quantity ≤ 1 week → 60 (60m) ≈ ×32–×40 (≈5 sessions of ~6.5–8h) > 1 week → 240 (4h) ≈ ×(8–10) per week × quantity ≤ 1 M → 240 (4h) ≈ ×33–×44 (~20–22 sessions × 6.5–8h / 4h) ≤ 3 M → D (1d) ≈ ×(20–22) per month × quantity > 3 M → W (1w) ≈ ×(4–5) per month × quantity ≤ 1 Y → W (1w) ≈ ×52 > 1 Y → M (1M) ≈ ×12 per year × quantity Notes: • Ratios for D/W/M are given as ranges because they depend on **regular session length** (typically ~6.5–8h, not 24h). • Returned strings can be used with `request.security()` and `input.timeframe`.   Parameters:      tf (string) : series string Selected timeframe (e.g., "D", "240", or timeframe.period).   Returns: series string Suggested lower TF to use for intra‑bar work. isNewPeriod(tf, offset)   Returns `true` when a new session-aligned period begins, or on the Nth bar of that period.   Parameters:      tf (string) : series string Target higher timeframe (e.g., "D", "W", "M").      offset (simple int) : simple int 0 → checks for the first bar of the new period. 1+ → checks for the N-th bar of the period.   Returns: series bool `true` if the condition is met. sinceNewPeriod(tf, offset)   Counts how many bars have passed within a higher timeframe (HTF) period. For daily, weekly, and monthly resolutions, the period is aligned with the trading session.   Parameters:      tf (string) : series string Target parent timeframe (e.g., "60", "D").      offset (simple int) : simple int 0 → Running count for the current period. 1+ → Finalized count for the Nth most recent *completed* period.   Returns: series int Number of bars. isHigherTF(tf, main)   Returns `true` when the selected timeframe represents a higher resolution than the active timeframe.   Parameters:      tf (string) : series string Selected timeframe.      main (bool) : series bool When `true`, the comparison is made against the chart's main timeframe instead of the script's active timeframe. Optional. Defaults to `false`.   Returns: series bool `true` if `tf` > active TF; otherwise `false`. isActiveTF(tf, main)   Returns `true` when the selected timeframe represents the exact resolution of the active timeframe.   Parameters:      tf (string) : series string Selected timeframe.      main (bool) : series bool When `true`, the comparison is made against the chart's main timeframe instead of the script's active timeframe. Optional. Defaults to `false`.   Returns: series bool `true` if `tf` == active TF; otherwise `false`. isLowerTF(tf, main)   Returns `true` when the selected timeframe represents a lower resolution than the active timeframe.   Parameters:      tf (string) : series string Selected timeframe.      main (bool) : series bool When `true`, the comparison is made against the chart's main timeframe instead of the script's active timeframe. Optional. Defaults to `false`.   Returns: series bool `true` if `tf` < active TF; otherwise `false`. isMultipleTF(tf)   Returns `true` if the selected timeframe (`tf`) is a practical multiple of the active skript's timeframe. It verifies this by checking if `tf` is a higher timeframe that has consistently contained more than one bar of the skript's timeframe in recent periods. The period detection is session-aware.   Parameters:      tf (string) : series string The higher timeframe to check.   Returns: series bool `true` if `tf` is a practical multiple; otherwise `false`. interpTimestamp(offStart, offEnd, pct)   Calculates a precise absolute timestamp by interpolating within a bar range based on a percentage. This version works with RELATIVE bar offsets from the current bar.   Parameters:      offStart (int) : series int The relative offset of the starting bar (e.g., 10 for 10 bars ago).      offEnd (int) : series int The relative offset of the ending bar (e.g., 1 for 1 bar ago). Must be <= offStart.      pct (float) : series float The percentage of the bar range to measure (e.g., 50.5 for 50.5%). Values are clamped to the range.   Returns: series int The calculated, interpolated absolute Unix timestamp in milliseconds.
ไลบรารี Pine Script®
โดย AustrianTradingMachine