Mulakan

Moving Averages

Ripster EMA Clouds with MTFCredits & Origins: This script is a modification of the widely popular EMA Clouds system originally created by @Ripster47. Full credit goes to him for the strategy and original concept. This version simply adds a quality-of-life feature for traders who use multi-timeframe analysis. What is this Indicator? The Ripster EMA Clouds system uses overlapping Exponential Moving Averages (EMAs) to visualize trends, momentum, and dynamic support/resistance zones. The "clouds" differ in color to indicate bullish or bearish trends, acting as a visual guide for keeping you on the right side of the trade. What is New in This Version? (MTF Capability) The standard version of this indicator calculates EMAs based on your current chart timeframe. If you switch from a 10-minute chart to a 1-minute chart, the clouds change completely. I have added a "Fixed Timeframe" variable/input that allows you to "lock" the clouds to a specific timeframe, regardless of what chart you are viewing. Why is this useful? This allows for true Multi-Timeframe (MTF) scalping. Example: You can set the clouds to look at the 10-minute trend (identifying major support levels) but execute your entries on a 1-minute chart. The clouds will remain locked to the 10-minute data, giving you the "big picture" view while you trade the micro-movements. How to Use Open the indicator settings. Go to the Inputs tab. Find the "Fixed Timeframe" option at the top. Leave Empty (Default): The indicator behaves exactly like the original (adjusts to your chart). Select a Timeframe (e.g., 10 Minutes): The clouds will lock to the 10-minute EMAs, even if you switch your chart to 1-minute or 5-seconds. Note on Visuals When viewing Higher Timeframe (HTF) clouds on a Lower Timeframe (LTF) chart, the clouds will appear to have a "stepped" or "ladder-like" appearance. This is normal and accurate. It represents the single EMA value holding constant for that entire higher-timeframe period. This helps you see the true support level rather than a smoothed, repainted line.
Penunjuk Pine Script®
oleh FahdYK
8 EMA. 21 EMA. VWAP This trio is popular for momentum, scalping, and trend-following on 1m–15m charts (stocks, futures, indices). 1. Trend & Bias Filter • Overall bullish when: Price > VWAP and 8 EMA > 21 EMA • Overall bearish when: Price < VWAP and 8 EMA < 21 EMA VWAP adds volume context — many ignore EMA signals against the VWAP side. 2. Crossover Signals (Primary Entries) • Bullish crossover: 8 EMA crosses above 21 EMA → potential long (especially if price is already above VWAP) • Bearish crossover: 8 EMA crosses below 21 EMA → potential short (especially if price is below VWAP) VWAP confirmation reduces whipsaws: only take longs above VWAP, shorts below it. 3. Pullback / Retest Entries (Higher Probability) • In an uptrend (price > VWAP, 8 > 21): Wait for dips to the 8 EMA (or sometimes 21 EMA) → buy the bounce. • In a downtrend: Wait for rallies to the 8 EMA → short the rejection. VWAP often acts as a magnet or pivot — price gravitating toward it can signal mean-reversion trades.
Penunjuk Pine Script®
oleh Cag100
Weighted CCI Oscillator [SeerQuant]Weighted CCI Oscillator (WCCI) The Weighted CCI Oscillator (WCCI) is an enhanced CCI-style deviation oscillator that builds on the classic Commodity Channel Index framework by introducing adaptive weighting and configurable smoothing. By dynamically scaling deviation based on a selected market “weight” (Volume, Momentum, Volatility, or Reversion Factor), WCCI helps trend strength and regime shifts stand out more clearly, while still retaining the familiar CCI-style structure and ±200 extreme zones. ⚙️ How It Works WCCI starts by calculating a baseline (your chosen moving average type) of the selected CCI source (Typical Price / HLC3, or a custom input source). It then measures how far price deviates from that baseline, and applies an adaptive weight to that deviation based on your selected weighting method. The weighting is normalized for stability so it remains usable across different assets and changing regimes, then clamped to prevent abnormal spikes from distorting the oscillator. The weighted deviation is normalized by a weighted mean absolute deviation term (using the standard CCI constant k), producing a CCI-like oscillator that responds differently depending on the “state” of the market. Trend logic is defined using a neutral zone around the 0 midline: bullish when WCCI holds above (0 + Neutral Zone), bearish when it holds below (0 - Neutral Zone), and neutral while it remains inside that band. A smoothed WCCI line is also provided for cleaner confirmation. ✨ Customizable Settings WCCI is designed to be tuned without overcomplication. You can choose the CCI source mode (Typical Price / HLC3 or Input Source), set the calculation length, and apply smoothing using your preferred moving average type (SMA, EMA, RMA, HMA, DEMA, TEMA, etc.). The weighting method is the key differentiator: Volume weighting emphasizes participation and activity. Momentum weighting emphasizes impulse and directional pressure. Volatility weighting emphasizes expansion/contraction phases. Reversion Factor weighting responds inversely to variance, biasing toward mean-reversion conditions. On the style side, you can select a preset colour scheme (Default/Modern/Cool/Monochrome) or enable custom bull/bear/neutral colours. Candle coloring is optional, and you can choose whether candles follow the raw WCCI or the smoothed WCCI. 🚀 Features and Benefits WCCI provides a CCI-style oscillator that adapts to market conditions instead of treating every regime the same. The weighting engine helps meaningful moves stand out when conditions justify it, while the neutral-zone framework reduces noise and improves readability compared to relying purely on midline flips. With flexible smoothing, clean state transitions, optional candle coloring, and clear ±200 extreme markers, WCCI works well as a trend filter, confirmation layer, or regime signal alongside other systems. 📜 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Penunjuk Pine Script®
oleh SeerQuant
Strategy #2 [Rider Algo]Strategy #2 (Indicator) — What it does Strategy #2 is a rebound-confirmation indicator built around Trend Optimizer lines and WaveTrend confirmation . Its main purpose is to print high-quality rebound labels when price aggressively tests an optimizer line and then confirms the bounce. The two key labels are: Strat #2 LT (Long-Term optimizer rebound label) Strat #2 ST (Short-Term optimizer rebound label) These labels are the core of the indicator. The two Optimizer Lines LT Optimizer Line (Long Term): stronger, more reliable line (primary mean-reversion / support-resistance reference). ST Optimizer Line (Short Term): faster, weaker line (more aggressive, more signals, more noise). Strat #2 LT — When the label appears (most important) Bullish Strat #2 LT (rebound long) The label “Strat #2 LT” prints when ALL conditions are met: Price context: price is still considered “coming from strength” (HH context remains valid even if a LH appears, as long as the LT line has not been tested yet). Test: price drops and touches the LT Optimizer line as support (low reaches the LT support line). Hold: the LT line does NOT break (no confirmed close below LT support after the touch and before confirmation). Confirmation (first time after the touch): the first confirmed candle that prints either: Bullish M , or Attention ...triggers the label. Meaning: price sold off into LT support, support held, and momentum confirms the rebound. Bearish Strat #2 LT (rebound short) — Mirror logic Price context: remains valid from bearish strength (LL context). Test: price rallies and touches LT Optimizer line as resistance. Hold: LT line does NOT break (no confirmed close above resistance). Confirmation (first time after the touch): first confirmed candle after the touch printing: Bearish M , or Warning ...triggers “Strat #2 LT” . Strat #2 ST — When the label appears “Strat #2 ST” follows the exact same logic , but using the Short-Term Optimizer line instead of LT. More frequent signals More sensitive Best used with higher timeframe confluence or as an aggressive early entry / scale-in Default visibility (clean chart by default) Enabled by default: Strat #2 LT labels Disabled by default: Optimizer lines, Strat #2 ST labels, and WaveTrend (M / Warning / Attention) This keeps the focus on the only thing that matters: the Strategy #2 labels .
Penunjuk Pine Script®
oleh RiderAlgo
McGinley Dynamic + MA FilterMcGinley Dynamic + MA Filter Long/Short Gauge Author: Simon20cent Purpose: Provides a fast, adaptive trend indicator using the McGinley Dynamic, with an optional moving average filter for stronger confirmation of LONG or SHORT bias. Designed to give clear visual signals without cluttering the chart. How it Works: McGinley Dynamic: tracks price direction adaptively. Price above MD → bullish Price below MD → bearish Optional MA Filter: confirms trend using a chosen SMA or EMA. LONG only if MD > MA SHORT only if MD < MA Visual Signals: Line: McGinley Dynamic (colored by bias) Optional MA line: blue reference Background color: green = LONG, red = SHORT Labels: optional “LONG” / “SHORT” above/below bars Customization Options: MD period MA type (SMA/EMA) and period Show/hide lines and labels Enable/disable MA filter Use Cases: Quick trend bias detection Entry filter for trades (aligns MD and MA) Works on any timeframe for scalping, intraday, or swing setups Key Advantage: Adaptive, low-lag trend detection with optional confirmation, giving a clean and clear long/short gauge.
Penunjuk Pine Script®
oleh Simon20cent
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals. Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity. Key Features Momentum Core (Smoothed RoC) The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness. Standard Deviation Bands Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted: Inner bands for early expansion signals Outer bands for extreme conditions These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones. Momentum Acceleration A dedicated acceleration line measures the momentum of momentum itself. This helps identify: Early trend ignition Momentum deceleration before reversals Continuation strength during expansions Acceleration smoothing and MA type are fully configurable. Multi-Mode Signal System Trend Mode Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation. Heikin Ashi Candles Mode Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure. Extremes Mode Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries. Histogram Mode Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts. Histogram & Signal Line An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring. Visual Customization Choose from multiple predefined color palettes: Classic Mystic Accented Royal Or define your own bullish and bearish colors. Additional visual features include: Momentum-colored candles Heikin Ashi momentum candles Band shading and fills Optional zero-line reference Integrated Status Table A built-in table summarizes the real-time state of: Trend bias Heikin Ashi momentum direction Extreme overbought / oversold conditions This allows rapid decision-making without needing to interpret every visual element manually. How It Works Momentum Calculation Computes Rate of Change on the selected source and smooths it using the chosen moving average. Volatility Structure Builds adaptive deviation bands from rolling standard deviation of the momentum line. Acceleration Layer Measures the rate of momentum change to detect early shifts in strength. Mode-Dependent Logic Trend mode focuses on directional bias HA mode smooths momentum structure Extremes mode filters reversals using volatility and HA confirmation Histogram mode emphasizes momentum differentials Signals & Alerts Automatic alerts trigger on: Momentum crossing above or below zero Heikin Ashi momentum flips Confirmed overbought and oversold extremes Practical Use Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation. Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals. Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves. Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator. Customization Adjust RoC length and smoothing for sensitivity Tune band length and multipliers for volatility conditions Select display and signal modes based on strategy type Fully customize colors to match your chart environment ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
Penunjuk Pine Script®
oleh LyroRS
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones Overview An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification. What Makes This Unique Unlike standard SuperTrend indicators that use moving averages, this version: Uses actual pivot points to calculate a dynamic center line Provides multiple entry mode options for different trading styles Shows clear exit signals (both trailing stop and take profit) Color-codes the entire chart into trade zones (Long, Short, No Trade) Eliminates guesswork about when to enter, exit, and stay out Features 📊 Core Indicator Components Pivot Point Detection: Identifies local highs and lows in price structure Dynamic Center Line: Weighted calculation using detected pivot points ATR-Based Bands: Volatility-adjusted upper and lower bands Trailing Stop Line: Adaptive stop-loss that follows the trend 🎯 Entry Signals Four entry modes to match your trading style: Immediate Mode ⚡ Signals right when the trailing stop breaks Fastest entries for aggressive traders Best for strong trending markets Aggressive Mode 🔥 (Recommended) Signals when price closes beyond break candle OR opens beyond it Balanced speed and confirmation Good for most market conditions Balanced Mode ⚖️ Requires entire candle to close beyond break level Moderate confirmation Reduces false breakouts Conservative Mode 🛡️ Waits for candle to open AND stay completely beyond break level Highest confirmation, slowest entries Best for choppy markets 🚪 Exit Signals Three exit strategies: Trailing Stop Exits when price crosses back through the trailing stop line Lets profits run in trending markets Protects gains when trend weakens Take Profit % Exits at predetermined profit target Locks in gains at specific percentage Good for range-bound markets Both Uses whichever exit comes first Combines profit protection with trend following Recommended for most traders 🎨 Visual Trade Zones Color-coded backgrounds eliminate confusion: 🟢 Light Green: Active LONG position 🔴 Light Red: Active SHORT position ⚫ Gray: NO TRADE ZONE (between exit and next signal) 📍 Additional Visual Elements Diamond markers: Show when trailing stop is first broken BUY/SELL labels: Clear entry signals in green/red EXIT markers: Gray X for stop loss, Orange X (TP) for take profit Pivot points: Optional display of detected highs/lows (H/L markers) Support/Resistance: Optional circles at pivot levels Settings & Parameters Basic Settings Pivot Point Period (default: 2) Controls sensitivity of pivot detection Lower = more pivots detected (more responsive) Higher = fewer pivots (more stable) ATR Factor (default: 3) Distance multiplier for trailing stop bands Lower = tighter stops (more signals, earlier exits) Higher = wider stops (fewer signals, longer trades) ATR Period (default: 10) Lookback period for volatility calculation Affects how quickly bands adapt to volatility changes Entry Configuration Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative Determines how quickly the indicator generates signals after a trend break Exit Configuration Exit Method: Choose Trailing Stop, Take Profit %, or Both Take Profit % (default: 2%) Set your profit target as percentage of entry price Adjust based on volatility and timeframe Display Options Show Buy/Sell Labels: Toggle entry signal labels Show Exit Signals: Toggle exit markers Show Break Candles: Toggle diamond markers on trend breaks Show Pivot Points: Display H/L markers at pivot points Show PP Center Line: Display the dynamic center line Show Support/Resistance: Display circles at S/R levels How to Use For Swing Traders Set Entry Mode to "Balanced" or "Conservative" Use "Both" exit method with 3-5% take profit Enable all visual elements for complete market picture Trade only in direction of colored zones For Day Traders Set Entry Mode to "Aggressive" or "Immediate" Use "Trailing Stop" exit method to catch intraday trends Lower ATR Factor to 2-2.5 for tighter stops Watch for quick signals in the first 2 hours of trading For Position Traders Use higher timeframes (Daily/Weekly) Set Entry Mode to "Conservative" Increase Take Profit % to 5-10% Use larger ATR Factor (4-5) for wider stops General Trading Rules ✅ DO: Enter on BUY/SELL signals (green/red backgrounds) ✅ DO: Exit on EXIT/TP markers ❌ DON'T: Enter during gray NO TRADE ZONE ❌ DON'T: Counter-trend trade against the colored zone Alerts Set up the following alerts for automated trading notifications: Buy Signal: Triggers when long entry conditions are met Sell Signal: Triggers when short entry conditions are met Exit Long: Triggers when long position should be closed Exit Short: Triggers when short position should be closed Trailing Stop Broken: Triggers on initial trend change Best Practices Timeframe Selection 1-5 min: Scalping (use Immediate/Aggressive mode) 15-60 min: Day trading (use Aggressive/Balanced mode) 4H-Daily: Swing trading (use Balanced/Conservative mode) Weekly: Position trading (use Conservative mode) Risk Management Always use the EXIT signals - don't hold through gray zones Position size based on distance to trailing stop Never risk more than 1-2% per trade Consider wider stops on higher timeframes Market Conditions Trending markets: Use Aggressive mode, Trailing Stop exits Ranging markets: Use Conservative mode, Take Profit exits High volatility: Increase ATR Factor, use Both exits Low volatility: Decrease ATR Factor for tighter stops Technical Details Calculation Method Detect pivot highs and lows using specified period Calculate weighted center line: (previous_center × 2 + new_pivot) / 3 Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR) Determine trend based on price position relative to bands Trail stop line follows the active trend direction Signal Logic Entry signals generated based on selected confirmation mode Position tracking maintains state from entry to exit Exit signals calculated from both trailing stop and take profit levels Trade zones update in real-time based on position state Limitations & Considerations Works best in trending markets; may generate false signals in tight ranges Not a holy grail - should be used with proper risk management Past performance does not guarantee future results Recommended to backtest on your specific instrument and timeframe Consider combining with volume analysis or other indicators for confirmation Version History v1.0: Initial release with entry signals and confirmation modes v1.1: Added exit signals (trailing stop and take profit) v1.2: Added color-coded trade zones (Long/Short/No Trade) Credits Original Pivot Point SuperTrend concept by LonesomeTheBlue Modified with exit signals and trade zone visualization License Mozilla Public License 2.0 Example Setups Conservative Swing Trading Pivot Point Period: 2 ATR Factor: 3 ATR Period: 10 Entry Mode: Conservative Exit Method: Both Take Profit %: 4% Aggressive Day Trading Pivot Point Period: 2 ATR Factor: 2.5 ATR Period: 10 Entry Mode: Aggressive Exit Method: Trailing Stop Position Trading Pivot Point Period: 3 ATR Factor: 4 ATR Period: 14 Entry Mode: Balanced Exit Method: Both Take Profit %: 8% Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
Penunjuk Pine Script®
oleh Tapaspattanaik
Blockcircle MMS - Multi-Timeframe Momentum ScorecardOVERVIEW Most momentum indicators tell you where price has been. The MMS tells you where momentum stands across multiple timeframes right now, how reliable historical signals have been on your specific chart, and what the statistical probabilities suggest for your next decision. The Blockcircle Multi-Timeframe Momentum Scorecard is a comprehensive momentum analysis system built around three core innovations that work together as an integrated decision framework. WHAT MAKES IT ORIGINAL AND DIFFERENT T3-Smoothed CCI Transformation: Standard CCI is notoriously choppy and generates excessive false signals. The T3 transformation applies a cascade of exponential moving averages with adjustable smoothing coefficients (default 0.618) to dramatically reduce noise while preserving responsiveness to genuine momentum shifts. This produces a cleaner oscillator that filters out minor fluctuations triggering premature entries on raw CCI readings. Automatic Timeframe Hierarchy Construction: Rather than manually configuring higher timeframes and hoping they align properly, the auto-calculation engine selects five higher timeframes that maintain appropriate separation based on your current chart. On a 15-minute chart, it monitors 30m, 1H, 2H, 4H, and 8H simultaneously. On a daily chart, it shifts to 3D, Weekly, 2-Week, Monthly, and Quarterly. This adaptive architecture ensures multi-timeframe analysis remains meaningful regardless of trading horizon. Chart-Specific Statistical Probability Engine: The indicator tracks your specific chart's historical behavior around key momentum zones. It calculates the actual win rate of zero-line crosses going back through your visible data, the probability of price rejecting versus breaking through the zero line based on past approaches, and the average number of bars spent in extreme zones before reversals occur. These metrics are computed from the chart in front of you, not theoretical assumptions. Volatility-Adaptive Extreme Zone Bands: Fixed overbought and oversold thresholds fail when market conditions shift. The MMS calculates a rolling standard deviation of smoothed momentum values and positions extreme zone boundaries at a configurable multiple of that deviation from the mean. Bands expand automatically during high volatility and contract during consolidation. Multi-Indicator Divergence Confirmation: Single-indicator divergences fail too often to be actionable. The divergence detection system requires confirmation from at least two indicators (Momentum, RSI, MACD, MFI, CMF) before flagging a potential reversal. Weighted Multi-Timeframe Confluence Scoring: Higher timeframes receive progressively greater weight because momentum conditions on larger timeframes tend to persist longer and exert stronger influence on price direction. Current timeframe receives weight 1.0, HTF1 receives 1.5, HTF2 receives 2.0, up to HTF5 at 3.5. The resulting confluence percentage indicates whether timeframes are aligned, conflicted, or mixed. THE UNDERLYING METHODOLOGY The T3 smoothing algorithm applies six cascaded exponential moving averages with coefficients derived from the smoothing factor B. The mathematical construction uses polynomial coefficients c1 through c4 calculated from B to weight the final combination of smoothed values. This approach preserves trend information while eliminating the lag and noise issues inherent in standard smoothing methods. The weighted confluence score forms the backbone of multi-timeframe analysis. Each enabled timeframe contributes a directional bias (+1 bullish, -1 bearish, 0 neutral) multiplied by its assigned weight. The sum is normalized against total possible weight to produce a percentage ranging from -100 to +100. The Summary Score aggregates four components: confluence contribution (0-30 points), trend strength based on timeframe alignment (0-25 points), momentum health assessing acceleration versus deceleration (0-25 points), and zone status evaluating current position relative to extreme and neutral zones (0-20 points). Win rate tracking monitors zero-line crosses and evaluates outcomes 10 bars later. If price moved in the expected direction following an upward cross, that cross is counted as a win. The accumulated statistics provide instrument-specific and timeframe-specific reliability metrics. DASHBOARD INTERPRETATION The scorecard table uses a traffic light system for rapid assessment: Green: Favorable or bullish conditions Yellow: Neutral states or caution warranted Red: Unfavorable or bearish conditions MOMENTUM TIMEFRAME SECTION Displays current value, directional trend arrow, zone status (Bullish/Bearish/Neutral/Overbought/Oversold), and signal indicator for each enabled timeframe STATISTICS SECTION MTF Confluence: Weighted percentage indicating overall timeframe agreement TF Alignment: Count of bullish versus bearish timeframes Percentile Rank: Current momentum position relative to historical distribution ZERO LINE ANALYSIS SECTION Cross Up/Down Win Rate: Historical success rate of directional crosses Reject from Below/Above: Probability of zero-line rejection based on past approaches EXTREME ZONES SECTION Current Zone: Position relative to volatility bands and zero zone Avg Bars to Reversal: Historical duration of extreme zone conditions before mean reversion Volatility Band Levels: Current dynamic threshold values DIVERGENCE SIGNALS SECTION Bullish/Bearish Divergence: Shows confirmation count and status when multiple indicators agree PROBABILITY SECTION Bullish/Bearish Probability: Composite assessment incorporating momentum direction, confluence, dynamics, divergences, extreme zone status, and percentile rank PRACTICAL APPLICATIONS Trend Continuation Entries: Look for confluence scores above 60% with multiple timeframes aligned. The Summary Score provides a quick filter before analyzing individual timeframes. Mean Reversion Setups: Monitor extreme zone statistics. When momentum enters an extreme zone, the average bars to reversal metric indicates how long similar conditions have historically persisted. Combine with divergence signals for higher-probability reversal identification. Signal Reliability Assessment: Zero-line win rate statistics help evaluate whether crosses on your particular instrument and timeframe have historically followed through. A 70% win rate carries different implications than 45%. Multi-Timeframe Confirmation: Use the TF Alignment count to confirm that higher timeframes support your intended trade direction before entry. CONFIGURABLE PARAMETERS Momentum Core: CCI Period (14), T3 Period (5), Smoothing Factor (0.618) Volatility Bands: Lookback Period (100), Standard Deviation Multiplier (2.0), Fixed Thresholds when disabled Zero Zone: Width adjustment for instrument-specific ranges Statistics: Lookback period for probability calculations, Divergence pivot lookback Timeframes: Auto-calculate toggle with manual override options for HTF1-5 Divergence Indicators: Enable/disable RSI, MACD, MFI, CMF with individual parameter controls Display: Table position, text size, compact mode, signal markers, divergence markers, all plot colors BUILT-IN ALERTS Zero Line Cross Up/Down Entered Extreme High/Low Zone Bullish/Bearish Divergence Confirmed Strong Bullish/Bearish Confluence (>80%) Strong Trend Signal (Summary Score ≥80) IMPORTANT CONSIDERATIONS This indicator analyzes momentum conditions and historical patterns. It does not predict future price movements and cannot guarantee trading outcomes. Statistical metrics are derived from historical data visible on your chart and reflect past behavior only. Market conditions change, and past signal reliability does not ensure future reliability. Multi-timeframe analysis provides context for decision-making, but trade management, position sizing, and risk control remain your responsibility. The indicator works on standard chart types only. Non-standard charts such as Heikin Ashi, Renko, Kagi, Point & Figure, and Range produce distorted momentum readings and unreliable statistics.
Penunjuk Pine Script®
oleh blockcircle
LakyFx Delta Divergence Bands V2.24LakyFx Delta Bands (Multi-Source Delta Aggregator) What this indicator is LakyFx Delta Bands is a volume-delta analytics tool designed to estimate buy vs sell pressure by decomposing volume into “buy volume” and “sell volume” per candle, then computing Delta = Buy − Sell. It can aggregate data from multiple exchanges/venues (for crypto) or switch to a single-source mode (for stocks/indices) using the chart symbol or a manual proxy symbol. This indicator does not generate guaranteed trade signals. It is built to help you: Understand whether participation is dominated by buying or selling pressure, Spot momentum shifts when delta trends change, Detect regular and hidden divergences between price action and delta flow, Smooth delta with configurable moving averages to reduce noise, Use lower-timeframe aggregation to approximate intra-bar delta (when enabled). Key concepts explained 1) Delta (estimated) TradingView typically provides OHLCV (Open/High/Low/Close/Volume) per candle, not true order-by-order “aggressive buy/sell” tape for most symbols. So this indicator estimates buy/sell volume from candle structure using one of these methods: Simple method (directional volume): If Close > Open: treat most volume as buying. If Close < Open: treat most volume as selling. If Close == Open: treat volume as neutral/0 split (or minimal split depending on implementation). Candle Anatomy method (body + wicks weighting): Attempts to distribute volume based on candle body size and wick structure. Intuition: stronger directional bodies imply stronger directional participation; wicks represent rejection. Result: Delta = BuyVolume − SellVolume Positive delta suggests net buying pressure; negative delta suggests net selling pressure. Important: This is an estimation model, not true executed market delta. 2) Aggregation (crypto multi-exchange) In crypto mode, delta can be computed from multiple data sources and summed into a single composite delta: Spot venues (e.g., Binance Spot) Perpetual venues (e.g., Binance Perp) If a venue does not list the symbol, the script ignores it (treats as 0 contribution) instead of erroring. 3) Single-source mode (stocks/indices) When Stocks/Indices mode is enabled, the indicator ignores the crypto exchange list and uses one data source: Either the chart’s symbol (syminfo.tickerid) Or a Proxy Symbol you provide (example: use SPY or ES1! as a proxy for SPX). This is crucial because many indices (like SPX) do not have real trade volume in the same way an ETF or futures contract does. 4) LTF Delta aggregation (intra-bar approximation) Instead of computing delta only from the chart timeframe candle, the indicator can compute delta from lower timeframe candles and sum them to approximate the delta inside each higher-timeframe candle. To mitigate limited 1-minute history, the LTF timeframe is chosen dynamically: Chart TF ≤ 1H → use 1m 1H < Chart TF ≤ 4H → use 15m Chart TF > 4H → use 1H This increases stability and reduces the “not enough 1m history” problem. Note: LTF aggregation is still an approximation and depends heavily on available historical data and session structure (especially for stocks). What you see on the chart A) Zero line (baseline) A horizontal centerline represents Delta = 0: Above 0 = net buying pressure Below 0 = net selling pressure B) Delta histogram A histogram shows current candle delta (aggregated): Positive bars above zero = net buying Negative bars below zero = net selling The histogram may be visually scaled (shortened) to improve readability if the raw delta is extremely spiky. C) Delta Moving Averages (3 lines) Three delta moving averages (MA1 / MA2 / MA3) are plotted on top of the histogram: They smooth delta to highlight trend and momentum. MA types and lengths are fully configurable. Color/thickness settings help you visually detect: MA crossing above/below 0, MA slope changes (momentum shift), MA separation (trend strength). D) Divergences (regular + hidden) The script detects divergences between: Price pivots (swing highs/lows) Delta signal pivots (delta or chosen MA / cumulative delta) It can display: Regular bullish divergence: price makes a lower low, delta makes a higher low Regular bearish divergence: price makes a higher high, delta makes a lower high And also: Hidden bullish divergence: price makes a higher low, delta makes a lower low Hidden bearish divergence: price makes a lower high, delta makes a higher high Hidden divergences are typically shown with lighter / more transparent colors because they are usually treated as lower priority than regular divergences. E) Value Box (top right) A small table shows current values (minimal, readable): MA2 (in millions if configured that way) Delta (human formatted) Optionally also shows debug information: SYM: the active symbol used for computation (auto symbol or manual) Sources: how many sources are enabled vs how many are actually active (valid data) Δ TF: what timeframe is currently used for delta calculation (chart TF if not LTF, otherwise 1m/15m/1H) Settings & what they do (explained) 1) Sources / Venues (Crypto list) Enable 1..10: toggles each exchange feed on/off. Symbol input per source: defines the venue ticker (e.g., BINANCE:BTCUSDT, BYBIT:ETHUSDT.P). If Auto Symbols from Chart is enabled, the script derives tickers from the chart’s base currency and constructs venue tickers internally. Why you still see BTCUSDT in settings: TradingView does not allow scripts to programmatically rewrite the UI input fields. Auto symbols work internally, not by changing what you see in input boxes. 2) Auto Symbols from Chart When enabled: The script reads the chart’s base currency (e.g., BTC, ETH, SOL) Builds venue tickers for each configured exchange (spot/perp format) Uses those computed tickers (“used symbols”) for requests When disabled: Uses the manually typed sym1..sym10 values exactly as they appear. 3) Stocks/Indices Mode (Single source) When enabled: Crypto exchange list is ignored. The script uses: Proxy symbol if provided Otherwise the chart symbol Use cases: Stocks: AAPL, TSLA, MSFT, etc. (chart symbol is enough) Indices: SPX → set proxy to SPY or ES1! for meaningful volume ETFs: SPY/QQQ (chart symbol is enough) 4) Proxy Symbol (optional) Only used in Stocks/Indices mode: If empty: uses chart symbol If set: uses the proxy symbol for all delta calculations Examples: SPX proxy: AMEX:SPY or CME:ES1! NDX proxy: NASDAQ:QQQ or CME:NQ1! 5) Delta Mode (calculation method) You typically have: Simple (directional candle) Candle Anatomy LTF Delta — Simple LTF Delta — Anatomy (Names may vary slightly, but the behavior matches.) When to use what: Simple: robust, easy to interpret, less “model risk” Anatomy: potentially more nuanced, but more sensitive to candle structure LTF versions: more granular delta estimate, but depends on data availability 6) Normalize Volume to Quote Currency (if present) Some scripts multiply volume by price to approximate “quote volume”: If ON: uses volume * close If OFF: uses raw volume For crypto, quote volume can sometimes give a more comparable magnitude across price regimes. For stocks, raw share volume may be fine; quote volume can help compare capital flow. 7) Moving Averages (MA1/MA2/MA3) Each MA usually includes: Length: number of bars Type: SMA / EMA / RMA / WMA / VWMA (depending on what you enabled) Line width: thickness for readability Color style: optionally dynamic by slope (e.g., bright when rising, muted when falling) How to interpret: MA above 0 = persistent net buying pressure MA below 0 = persistent net selling pressure MA slope turning = flow shift MA compression (lines converging) = reduced directional dominance MA expansion = strengthening trend 8) Divergence settings Typical controls include: Pivot length (left/right): how “swing points” are detected Max lookback / range: divergence search window Signal source for divergence: Raw Delta, MA2, or Cumulative Delta Regular divergence ON/OFF Hidden divergence ON/OFF Hidden divergence sensitivity: often separate pivot length or confirmation conditions Why pivots matter: Divergence logic needs “confirmed” swing highs/lows, so it inherently lags by the pivot confirmation amount. 9) Visual controls Histogram visibility Histogram transparency Histogram scaling (shortening) to reduce extreme spikes visually Zero line color/opacity Value Box on/off Debug lines on/off Practical usage tips Crypto (multi-exchange) Use a balanced set of spot + perp venues for broad participation. If the token is small/mid cap and listed only on a few venues, the “Sources active” debug line will tell you why delta looks weak or flat. Stocks Use Stocks/Indices mode ON. Prefer HTF Simple/Anatomy first. Use LTF only on intraday charts where 1m/15m history is sufficiently available. Indices Use a proxy (SPY/ES1!) because index volume can be non-representative or missing. Known limitations (important) Delta is estimated, not true traded delta. LTF data availability can be limited, especially for stocks. Session gaps can make LTF aggregation less smooth on stocks. If most venues do not list a token, multi-exchange delta will naturally be small/flat (sources ignored). Summary LakyFx Delta Bands gives you a clean, highly configurable way to visualize: multi-source aggregated delta, smoothed delta flow via configurable MAs, divergence signals (regular + hidden), and debugging feedback about what symbol and how many sources are actually driving the calculation. If you want, I can also rewrite this documentation into a shorter “TradingView script description” format (less technical, more marketing style) or a “README” format with sections and examples.
Penunjuk Pine Script®
oleh LakyFx
BreakPoint Pro - Market Structure Shifts BreakPoint Pro - Market Structure Shifts BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling. To reduce noise and overtrading, BreakPoint Pro integrates: - Trend and momentum filters - Signal cooldown logic - Adaptive ATR-based risk visualization - Multi-timeframe structural context The result is a clean, structured framework that helps traders align entries with both local structure and higher-timeframe bias, while maintaining consistent risk parameters. NQ 1m Chart Short Signal & TP Hit This indicator is not a strategy and does not auto-execute trades. It is intended as a decision-support tool for discretionary traders who understand structure, trend alignment, and risk management. BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling. BTC 4h Chart Short Signal Close to TP ✨ Key Features (At a Glance) - Market Structure Shift (MSS) detection - Optional break + retest confirmation - EMA trend filter - RSI momentum filter - Cooldown system to prevent signal clustering - ATR-based Stop Loss & Take Profit visualization - Dynamic Risk/Reward calculation - Higher-Timeframe (HTF) structure dashboard - Fully customizable visuals (SL/TP lines, opacity, styles) ETH 1h Chart - Showing current potential short trade in play, but also older potential trades as well with background color grading and structure high/low levels 🔍 In-Depth Feature Overview 1. Market Structure Detection BreakPoint continuously tracks recent swing highs and swing lows to determine when price breaks previous structure. A structure shift is only confirmed when price closes beyond a prior swing, helping filter out wicks and false breaks. The indicator maintains a structure state: - Bullish - Bearish - Neutral This state governs signal eligibility and background context. 2. Break + Retest Logic (Optional) When enabled, BreakPoint requires: - A confirmed break of structure - A controlled retest within an ATR-based tolerance - A continuation close in the break direction This helps avoid chasing impulsive moves and favors acceptance over reaction. Retest sensitivity can be fine-tuned using the ATR tolerance multiplier. 3. Trend & Momentum Filters To improve signal quality, BreakPoint supports optional filters: EMA Filter - Long signals only above the EMA - Short signals only below the EMA RSI Filter - Longs require RSI above a configurable midline - Shorts require RSI below it Filters can be used independently or combined for stricter confirmation. 4. Cooldown Protection After a signal triggers, BreakPoint enforces a cooldown period before allowing another signal. This prevents rapid flip-flopping in choppy conditions and encourages patience and structure clarity. 5. ATR-Based Risk Visualization Upon a valid signal, BreakPoint automatically plots: - Stop Loss (SL) - Take Profit (TP) Using: - ATR-based distance - Configurable Risk/Reward ratio - Direction-aware placement All SL/TP lines and labels are purely visual aids and can be customized or disabled depending on your workflow. 6. Higher-Timeframe Structure Dashboard BreakPoint dynamically evaluates structure on three higher timeframes relative to your current chart. A compact table displays: - Timeframe - Bullish / Bearish / Neutral structure - Current trade direction - SL, TP, and live R:R values This helps traders quickly assess top-down alignment without switching charts. DXY- USD Index 1h Chart Short with TP hit 🛠️ Settings Review: Core Structure - Swing Length – Controls sensitivity of swing detection - Require Break + Retest – Enables retest confirmation logic - Retest ATR Tolerance – Defines acceptable retest range Filters - Use EMA Filter / EMA Length - Use RSI Filter / RSI Length / RSI Midline Signal Management - Cooldown Bars After Signal – Minimum bars between signals Risk Visualization - Use ATR-based Stop Loss - ATR Stop Loss Multiplier - Use ATR-based Take Profit - Risk/Reward Ratio Visual Customization - SL/TP colors - Line styles (solid, dashed, dotted) - Line widths - Opacity levels HTF Display - Show/Hide HTF structure box - Table position on chart DASH - Weekly Timeframe Long Trade hit TP Best Practices & Tips - Works best on liquid markets (indices, FX, majors, liquid crypto) - Use HTF structure alignment for higher-confidence trades Combine with: Key levels Session highs/lows Supply & demand zones - Increase swing length and enable filters on higher timeframes - Avoid treating signals as standalone trade commands BreakPoint excels as a structure confirmation tool, not a prediction engine. SOL - 4hr Short ⚠️ Disclaimer: BreakPoint Pro – Market Structure Shifts is a technical analysis tool designed to highlight potential market structure shifts. It provides visual signals and trade bias suggestions based on swing highs/lows, optional EMA/RSI filters, and break/retest logic. It does not guarantee profits and should not be considered financial advice. Users are responsible for their own trades. Always perform your own analysis and manage risk appropriately. Use proper stop-losses and position sizing. Trading involves significant risk of loss, and past performance is not indicative of future results. By using this indicator, you acknowledge that the author cannot be held liable for any trading losses or financial outcomes resulting from its use. 💳 If you'd like access or have any questions, visit our website or feel free to reach out to me directly via DM.
Penunjuk Pine Script®
oleh largepetrol
Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives: ^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision ^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know: Some history u gotta know: In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then. Why all this? When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ). Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters. So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows. How to use it The upper study: The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here You can also turn in volatility bands in script’s style settings, these do not require any adjustments Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it) The lower study: The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold. ^^ Upper study with expected typical and maximum volatility bands turned On ... The method explained What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all. ... It all starts from a process model, in our cause this is... MFPM (Mechanical Feedback Price Model) Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces. I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random. Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move. This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 . Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor. Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive. Extended Beta(2, 2) Window This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model. Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed. Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources. Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent. And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher. ^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase … And that’s all folks. … Actually no … Last, not least, is the ability to add additional innovation weight to the kernel: ^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all. ... Live Long and Prosper, all good TradingView ∞
Penunjuk Pine Script®
oleh gorx1
3
200 MA Pack (SMA / EMA / SMMA / WMA) + VWAP200 Moving Average Pack + VWAP (Institutional Trend Indicator) This indicator plots the most widely respected long-term trend and institutional reference levels on a single chart. Included: 200 SMA – Long-term market structure & institutional bias 200 EMA – Dynamic trend direction & pullback reference 200 SMMA (RMA) – Smoothed trend stability with reduced noise 200 WMA – Faster weighted trend response VWAP – Volume-weighted fair value used by smart money Designed for stocks, indices, futures, and commodities, this tool helps identify: Bullish vs bearish market regimes High-probability trend continuations Key support & resistance zones Price acceptance or rejection around VWAP Best used for positional trading, swing trading, and intraday bias. Works on all timeframes.
Penunjuk Pine Script®
oleh BearThatBuys
VIX Crossing# VIX Crossing Strategy ## Overview VIX Crossing is a quantitative trading strategy that combines volatility signals from the VIX index with trend confirmation from the Nasdaq-100 (NDX) to generate long entry signals. The strategy employs multiple exit conditions to manage risk and lock in profits systematically. ## Strategy Logic ### Entry Condition The strategy initiates a long position when: - **VIX Crossunder**: The VIX closing price crosses below its 5-bar simple moving average (SMA), signaling a decrease in implied volatility - **AND NDX Confirmation**: The Nasdaq-100 closes above its 21-bar exponential moving average (EMA), confirming uptrend strength This dual-signal approach reduces false entries by requiring both volatility normalization and positive market momentum. ### Exit Conditions The strategy automatically closes positions when any of the following conditions are met: 1. **VIX Crossover (Volatility Exit)**: VIX closes above its SMA, indicating rising volatility 2. **Time-Based Exit**: Position is force-closed after 10 bars from entry, preventing prolonged drawdowns 3. **Take-Profit Exit**: Position closes when unrealized profit exceeds $3,000 per contract 4. **Stop-Loss Exit**: Position closes when unrealized loss exceeds $1,500 per contract Exit conditions are evaluated each bar while the position is open, with explicit logging of the exit reason for trade analysis. ## Configuration Parameters | Parameter | Default | Purpose | |-----------|---------|---------| | VIX SMA Length | 5 | Smoothing period for VIX volatility baseline | | NDX EMA Length | 21 | Smoothing period for Nasdaq-100 trend confirmation | | Force Close After X Bars | 10 | Maximum holding period in bars | | TP Amount per Contract | $3,000 | Profit target per contract | | SL Amount per Contract | $1,500 | Loss limit per contract | ## Risk Management Features - **Position Sizing**: Capital allocation based on profit/loss per contract rather than fixed units, allowing for scalable risk - **Dual Risk Controls**: Combined time-based and price-based exits prevent extended exposure - **Profit Asymmetry**: 2:1 profit-to-loss ratio encourages risk/reward discipline - **Contract-Based Accounting**: Profit targets and stop losses scale with position size ## Capital Requirements - **Initial Capital**: $50,000 - **Commission**: $3 per contract (cash-based) - **Instrument**: Designed for index-based derivatives or equities with liquid options markets ## Technical Indicators Used - Simple Moving Average (SMA) for VIX smoothing - Exponential Moving Average (EMA) for NDX trend detection - Crossover/Crossunder detection for signal generation ## Underlying Assumptions 1. VIX crossunder events represent mean-reversion opportunities in Nasdaq-heavy portfolios 2. NDX EMA confirmation filters out uncorrelated volatility spikes 3. 10-bar holding period aligns with typical mean-reversion timeframes 4. Contract-based profit targets accommodate varying leverage levels
Strategi Pine Script®
oleh llbot
4MAs+5VWAPs+FVG+ Fractals4MAs + 5VWAPs + FVG + Fractals All-in-one market structure indicator combining 4 moving averages, 5 VWAP timeframes, fair value gaps, fractals, and order blocks. 🔧 Features: · 4 MAs - SMA/EMA, customizable lengths & colors · 5 VWAPs - Daily, Weekly, Monthly, RTH, Custom sessions · Fractals - Market structure with breakout lines & custom colors · FVG/Imbalances - Bullish/bearish gap detection with alerts · Order Blocks - Dynamic institutional levels · Smart Labels - VWAP labels with color matching ⚙️ Quick Setup: 1. Toggle groups in Master Control Panel 2. Customize colors for each component 3. Set sessions for RTH/Custom VWAP 4. Adjust fractal periods (default: 2) 📈 Trading Use: · Identify market structure with fractals · Find confluence at VWAP + MA levels · Trade FVG fills and order block reactions · Multiple timeframe analysis with 5 VWAPs Customizable • Color-Coordinated • Performance Optimized
Penunjuk Pine Script®
oleh mikedret
AHR999 Index (Renewed)AHR999 Indicator The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation. When the AHR999 index is < 0.45, it indicates a buying opportunity at a low price. When the AHR999 index is between 0.45 and 1.2, it is suitable for regular investment. When the AHR999 index is > 1.2, it suggests that the coin price is relatively high and not suitable for trading. In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
Penunjuk Pine Script®
oleh CryptoNE0