Mulakan

Crossover

Murphy Timeframe LensMURPHY TIMEFRAME LENS Reading time: ~2 min █ OVERVIEW Murphy Timeframe Lens is a timeframe compression tool inspired by John Murphy's explanation of weekly and monthly bar charts in Chapter 3 . The indicator displays higher timeframe structure directly on your current chart, helping traders study markets from a longer-range perspective without switching timeframes. As Murphy explains, compressing data into larger bars allows chartists to see the bigger picture. A 15-minute bar on a 1-minute chart contains 15 bars of price action. An hourly bar can represent 60 minutes of trading activity. The indicator adapts to different trading styles: intraday scalpers can use 15m or 1H compression on 1-minute charts, swing traders can view daily structure on 4H charts, and position traders can see weekly or monthly compression on daily timeframes. ═══════════════════════════════════════════════════════════════════ █ FEATURES Multi-Timeframe Compression The indicator offers seven timeframe options: 15m, 30m, 1H, 4H, Daily, Weekly and Monthly . Each fetches higher timeframe OHLC data and overlays it on your current chart. The default 15m setting follows the two timeframes higher principle — when trading on 1-minute charts, viewing 15-minute structure provides directional context without excessive lag. This compression ratio balances noise reduction with real-time relevance. For different base timeframes, select the appropriate HTF. 1-minute charts work well with 15m or 1H. 5-minute charts pair with 1H or 4H. Hourly charts benefit from Daily or Weekly compression. Three Display Modes The indicator offers three visualization options to match different analysis needs. OHLC Bars — shows the full higher timeframe bar structure: open, high, low, and close levels with shaded range zones and clear O/C labels marking exact price levels. Close Line — displays only the higher timeframe closing price as a stepped trend line, emphasizing directional bias without visual clutter. HL Zones Only — plots just the high and low boundaries, creating range bands that show where the higher timeframe bar is trading. Progressive Range Tracking The indicator builds HTF high and low boundaries progressively as the timeframe bar develops. When a new 15-minute bar starts on a 1-minute chart, the high and low begin at current price and expand as subsequent 1-minute bars extend the range. This prevents look-ahead bias — HTF boundaries reflect only information available at each moment, not the final bar values. Labels mark HTF open and close levels with exact prices for precise reference. ═══════════════════════════════════════════════════════════════════ █ VISUAL LEGEND • Green shaded zone — HTF bar closed bullish (close above open) • Red shaded zone — HTF bar closed bearish (close below open) • O label (green) — HTF open level with exact price — where the HTF bar started • C label (green/red) — HTF close level with exact price — where the HTF bar ended • Blue dots — HTF high boundary (progressive, expands as bar develops) • Orange dots — HTF low boundary (progressive, expands as bar develops) • Gray background flash — new HTF bar started ═══════════════════════════════════════════════════════════════════ █ BEST USE CASES • 1-minute scalping with 15m or 1H structure for intraday bias • 5-minute trading with 1H or 4H compression for session context • 4H swing trading with Daily or Weekly structure for trend alignment • Identifying when price tests HTF boundaries (support/resistance zones) ═══════════════════════════════════════════════════════════════════ █ DISCLAIMER This script is for educational and analytical purposes only. It is not financial advice. Trading involves risk, and all decisions remain the responsibility of the user.
Penunjuk Pine Script®
oleh TheFlowStateTrader
EMA 9/21 Crossover Alert + CloudEMA 9/21 Crossover with Trend Cloud This indicator uses two Exponential Moving Averages (EMA 9 and EMA 21) to identify trend direction and trading signals. Features: * Bullish signal when EMA 9 crosses above EMA 18 (BUY) * Bearish signal when EMA 9 crosses below EMA 18 (SELL) * Green cloud indicates bullish trend (EMA 9 above EMA 18) * Red cloud indicates bearish trend (EMA 9 below EMA 18) How to use: * Buy when a bullish crossover appears with green cloud * Sell when a bearish crossover appears with red cloud * Works best in trending markets Timeframes: * Suitable for 5min, 15min, and higher timeframes This indicator helps traders visualize trend direction and potential entry points using a simple and effective EMA crossover strategy.
Penunjuk Pine Script®
oleh sandhuyuvi4
AG Pro EMA Ribbon Compression Map [AGPro Series]AG Pro EMA Ribbon Compression Map Overview / What it does AG Pro EMA Ribbon Compression Map is a ribbon-structure indicator built to read the internal condition of a multi-EMA cluster rather than the behavior of price around a single moving average. Instead of asking whether price reclaimed one reference EMA, this script evaluates how tightly the ribbon is compressed, how cleanly the EMAs are aligned, whether width is beginning to expand, and whether a developing move still looks organized or is starting to cool. The default ribbon uses six EMAs and transforms their relative spacing into a visual structure that can be monitored directly on the chart. When the ribbon contracts, the script highlights coil conditions. When alignment and width expansion start to work together, it can mark bullish or bearish release conditions. When the ribbon is already wide and the expansion begins to lose energy, the script can flag fan-stretch / exhaustion behavior. This makes the tool suitable for traders who want to study transition phases between compression, release, expansion, and late-stage cooling without reducing the chart to a single crossover event. It is designed as a structural read of ribbon behavior. Unique Edge The main objective of this script is not to provide another generic EMA ribbon display. Its edge comes from turning ribbon behavior into a state map. First, it measures compression through normalized ribbon width rather than relying only on visual judgment. This helps distinguish between a ribbon that merely looks narrow and a ribbon that is statistically tight relative to its own recent behavior. Second, it combines two layers of organization into one alignment read: 1) order agreement between the EMAs 2) slope agreement across the ribbon This is important because a ribbon can appear stacked correctly while already losing directional integrity. By combining order and slope, the script attempts to separate cleaner directional structure from weaker, mixed, or transitional structure. Third, the script focuses on release quality as a context event. A release is not treated as a simple EMA cross. It requires compression context, directional alignment, price location relative to the ribbon, and width expansion behavior. In practice, this helps frame release events as structural transitions rather than isolated triggers. This also differentiates the script from single-EMA reclaim tools. AG Pro EMA Ribbon Compression Map is not built to analyze reactions around one anchor average. Its purpose is to interpret the internal geometry of the ribbon itself. Methodology The default ribbon is built from six EMAs: 8, 13, 21, 34, 55, and 89. The script calculates the highest and lowest EMA in the group, derives ribbon width, and normalizes that width using ATR. It then compares the normalized width to its own historical range over the selected compression lookback. From this process, a Compression Score and an Expansion Score are derived. Alignment is built from two components: - EMA order agreement - EMA slope agreement If the ribbon is fully stacked in one direction and most slopes support that direction, alignment improves. If order and slope start to disagree, alignment weakens and the state can shift toward mixed / disorder behavior. The state logic is designed around the following structural phases: - Bullish Coil - Bearish Coil - Tight Compression - Bullish Release - Bearish Release - Bullish Expansion - Bearish Expansion - Mixed / Disorder - Fan Stretch / Exhaustion - Transition The visual model is intended to keep the chart readable while still making the ribbon feel alive. Compression and release are not presented as forecasting claims. They are chart states derived from ribbon width, order, slope, and price position relative to the ribbon. Signals & Alerts This script can display event labels for key structural transitions and can generate alerts for the most important state changes. Available alert conditions include: - Bullish Ribbon Release - Bearish Ribbon Release - Ribbon Compression Start - Ribbon Compression Exit - Ribbon Exhaustion In practical use, traders may choose to treat these alerts as workflow signals rather than standalone decisions. For example, a compression start can identify a tightening structure worth monitoring. A bullish or bearish release can indicate that the ribbon is transitioning out of compression with directional alignment. An exhaustion event can indicate that a previously expanding ribbon may no longer be accelerating. The script also includes an on-chart panel that summarizes: - current state - compression score - alignment score - directional bias - width condition Key Inputs Ribbon Settings - Six EMA lengths - price source Compression Engine - ATR length - compression lookback - compression threshold - minimum width expansion - slope lookback - exhaustion threshold Visual Settings - ribbon fill visibility - event label visibility - panel visibility - optional bar tinting - label size - panel position - label density and cooldown controls These settings allow the script to be adapted to different instruments and timeframes. Users can keep the default ribbon structure or study how different EMA sets behave across their own workflow. Limitations & Transparency This script is not a prediction engine. It does not know whether a compression will resolve into continuation, reversal, or failed expansion. It reads ribbon structure; it does not guarantee outcome. Compression is a contextual condition, not a trade confirmation by itself. A tightly compressed ribbon can remain compressed longer than expected. Likewise, a release event can still fail if the move does not continue. Alignment is based on moving averages and slope behavior, which means the script is responsive to structure but still derived from lagging calculations. That tradeoff is intentional: the goal is to improve structural clarity, not to eliminate lag altogether. The indicator is also not a substitute for market context, support / resistance work, volatility analysis, or risk management. It is best used as a chart-structure tool inside a broader decision process. Risk Disclosure This indicator is for chart analysis and workflow support only. It does not provide financial advice, investment advice, or guaranteed trade outcomes. All trading decisions involve risk, and users should evaluate any signal, state change, or alert within their own methodology, market conditions, and risk framework.
Penunjuk Pine Script®
oleh AGProLabs
1
EMA Wave Rider (Beginner Edition)The EMA Wave Rider (Beginner Edition) is a simple trend-following indicator designed to help new traders understand market direction and momentum without overcomplicating their charts. ━━━━━━━━━━━━━━━━━━━━━━━ 📊 WHAT THIS TOOL USES ━━━━━━━━━━━━━━━━━━━━━━━ • 5 EMA → Fast momentum • 13 EMA → Signal confirmation • 50 EMA → Trend direction ━━━━━━━━━━━━━━━━━━━━━━━ 🎯 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━ 1. Follow the background: • Green = Buy environment • Red = Sell environment 2. Take signals in that direction: • BUY signals in green zones • SELL signals in red zones 3. Avoid sideways markets: • If EMAs are flat or crossing repeatedly → do not trade ━━━━━━━━━━━━━━━━━━━━━━━ 📍 SUPPORT & RESISTANCE ━━━━━━━━━━━━━━━━━━━━━━━ Built-in support and resistance levels help identify key areas for entries and exits. ━━━━━━━━━━━━━━━━━━━━━━━ ⏱️ BEST SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━ • Timeframe: 1 Hour • Markets: Forex (GBPUSD, EURUSD) ━━━━━━━━━━━━━━━━━━━━━━━ 📌 CORE RULE ━━━━━━━━━━━━━━━━━━━━━━━ No trend = No trade. ━━━━━━━━━━━━━━━━━━━━━━━ Built by Chart and Cash
Penunjuk Pine Script®
oleh VisionStriker
Dual Supertrend AB Tracked Ref CrossDual Supertrend A/B — Tracked Ref Cross This indicator runs two Supertrends (A & B) and generates signals based on how their tracked bands interact, not just price flips. Instead of a standard Supertrend where signals come from price crossing a band, this uses crosses between the active bands of both Supertrends: BUY → B Green crosses above A Black SELL → B Red crosses below A White What makes it different: Uses two Supertrends (fast vs slow structure) Signals come from band-to-band crossovers, not price alone Keeps stored reference levels for more stable, structured signals
Penunjuk Pine Script®
oleh deephrenology
Market Mastery Blueprint Narrow State FinderA comprehensive trade management and signal indicator built specifically for ES and MES futures traders operating on the 2-minute chart. The Market Mastery Blueprint combines market state detection, MA cross signals, smart entry scoring, and real-time risk/reward calculation into a single all-in-one tool. KEY FEATURES: Market State Detection Uses a fast (20) and slow (200) EMA relationship to classify price action into Narrow State (low volatility, inside range) and Wide State (trending/expanded) conditions. Background shading highlights each regime so you always know the current market context. MA Cross Signal Engine Detects three types of moving average crosses: Price x 20 SMA, Price x 200 SMA, and the classic 20 x 200 SMA Golden/Death Cross. An optional Elephant Bar filter ensures crosses are only flagged when backed by strong momentum candles, reducing false signals. Elephant Bar Detection Identifies large, impulsive candles (bull and bear) based on body size, tail wick ratios, and bar range thresholds. Elephant bars are highlighted directly on the chart and can act as confirmation filters for MA cross and entry signals. Tail Dot Signals Plots small dots on candles with significant wicks (topping tails and bottoming tails) that do not align with the prevailing signal direction, helping identify potential exhaustion and reversal setups. Entry Labels with Risk/Reward When a long or short signal triggers, a label is placed on the chart displaying the signal type, composite score, risk in dollars, reward in dollars, and number of contracts based on your defined account size and risk percentage. TP / SL / Breakeven Lines Automatically draws dynamic stop-loss, take-profit, and breakeven lines projected forward from each signal bar. Offset lines extend to the right for clear visual reference. Session Filter Restricts signals to active trading hours. You can skip the first N minutes after the open and stop taking signals N minutes before the close, keeping you out of pre/post market noise. Fully Customizable Inputs - Instrument: MES or ES - Account size and risk % per trade - ATR stop multiplier and R-multiple target - Breakeven trigger level (x ATR) - Minimum stop distance in points - All visual toggles (state backgrounds, zones, elephant colors, labels, TP/SL lines, cross signals) Built in Pine Script v6. Designed for active futures day traders who want a structured, rule-based framework for identifying high-quality setups on the ES and MES.
Penunjuk Pine Script®
oleh justintslno8
Viprasol Sniper Confluence Entry/Exit## Overview The Sniper Confluence Entry/Exit indicator builds on Sniper Entry/Exit with SL&TP by , which provided EMA crossover signals with ATR-based stop-loss/take-profit levels, a VWAP overlay, RSI/MACD display, and retest candle highlighting. This version adds a 7-factor confluence scoring engine that gates every signal — crossovers only fire when multiple technical factors align, dramatically reducing false entries. Built for swing and intraday traders who want clean, high-probability setups with automatic risk management. ## How It Works **Signal Generation (from original):** Entries are triggered by a Fast EMA / Slow EMA crossover. When the fast EMA crosses above the slow EMA, a long signal is generated; when it crosses below, a short signal is generated. The original script displayed these crossovers alongside supporting indicators (VWAP, RSI, MACD) but did not require them to agree before firing a signal. **7-Factor Confluence Engine (new):** This version adds a scoring layer that sits between the crossover and the signal output. Each bar, the indicator evaluates 7 independent factors and assigns 1 point for each that confirms the trade direction. A signal only fires when the total score meets your minimum threshold (default: 4/7). Scoring logic (pseudocode): ``` confluenceScore = 0 // Factor 1: Price vs VWAP if (long and close > vwap) or (short and close < vwap) → score += 1 // Factor 2: RSI direction if (long and rsi > 50) or (short and rsi < 50) → score += 1 // Factor 3: MACD trend if (long and macdLine > signalLine) or (short and macdLine < signalLine) → score += 1 // Factor 4: EMA alignment if (long and fastEMA > slowEMA) or (short and fastEMA < slowEMA) → score += 1 // Factor 5: ADX + directional index if adx > 25 and ((long and diPlus > diMinus) or (short and diMinus > diPlus)) → score += 1 // Factor 6: Volume confirmation if volume > volumeSMA and ((long and close > open) or (short and close < open)) → score += 1 // Factor 7: Secondary timeframe RSI if (long and secondaryRSI > 50) or (short and secondaryRSI < 50) → score += 1 signal fires only if confluenceScore >= minimumScore ``` A score of 5/7 or higher typically indicates a strong, well-supported setup. The configurable minimum lets you tune signal frequency vs. quality. **Bar-Close Confirmation (new):** When enabled, signals are delayed until the bar closes, preventing premature entries from intra-bar wicks that reverse before close. **ATR-Based Stop-Loss & Take-Profit (from original, extended):** The original calculated a single stop-loss and take-profit from ATR. This version extends that to: - **Stop-Loss** — ATR multiplied by your chosen risk factor (same core logic as original) - **Take-Profit Levels (1-5)** — Configurable number of TP levels at 1R, 2R, 3R, 4R, 5R distances (new — original had fixed levels) - **Trailing Stop to Breakeven** — Optionally moves SL to entry price once TP1 is hit (new) **Retest Candle Highlighting (from original):** Bars that pull back to the fast EMA after a signal are highlighted in orange, marking potential add-on or re-entry opportunities. **Secondary Timeframe RSI (from original, extended):** The original included a secondary timeframe RSI hardcoded to the 5-minute chart. This version makes the timeframe user-configurable. ## Key Features **From the Original:** - EMA crossover signal generation (fast/slow EMA) - ATR-based stop-loss and take-profit calculation - VWAP overlay with directional coloring - RSI and MACD display - Retest candle highlighting at EMA pullbacks - Secondary timeframe RSI confirmation **Added in This Version:** - 7-factor confluence scoring engine with configurable minimum score threshold - Bar-close confirmation filter to prevent wick-driven false entries - Trailing stop-loss to breakeven after TP1 is hit - Configurable number of take-profit levels (1-5, was fixed) - Configurable secondary timeframe (was hardcoded to 5m) - SL label showing breakeven status when trailing is active - 5 alert conditions with dynamic messages - Full dashboard showing all 7 confluence factors, position status, and targets hit ## How to Use **Setup:** 1. Add to any chart (works on all markets and timeframes) 2. Set your preferred EMA periods (default: 9/21) 3. Adjust the minimum confluence score — higher = fewer signals, better quality 4. Set your ATR multiplier for stop-loss width **Reading Signals:** - **LONG label** appears below bar when bullish crossover fires with sufficient confluence - **SHORT label** appears above bar when bearish crossover fires with sufficient confluence - Blue line = Entry, Red line = Stop-Loss, Green dashed lines = Take-Profit levels - Lines turn turquoise when their target is hit - Orange candles indicate price retesting the fast EMA (potential add-on opportunity) **Dashboard:** The side panel shows real-time scores for all 7 factors plus current position info, targets hit, and SL status. **Recommended Starting Settings:** - Scalping (1m-5m): Fast EMA 5, Slow EMA 13, Min Score 5, ATR Mult 1.0 - Intraday (15m-1H): Fast EMA 9, Slow EMA 21, Min Score 4, ATR Mult 1.5 - Swing (4H-1D): Fast EMA 9, Slow EMA 21, Min Score 4, ATR Mult 2.0 ## Settings **Signal Settings:** Fast/Slow EMA periods and bar-close confirmation toggle. **Confluence Filter:** Enable/disable the score filter and set the minimum threshold. **Risk Management:** ATR period, SL multiplier, number of TP levels, and breakeven trailing toggle. **Secondary Timeframe:** Choose which timeframe provides the secondary RSI confirmation. **Dashboard:** Position, font size, and show/hide toggle. **Visuals:** Toggle EMA ribbon, VWAP, TP/SL lines, retest highlighting, label sizes and offsets. ## Alerts 1. **Long Entry Signal** — Fires when a bullish confluence entry triggers 2. **Short Entry Signal** — Fires when a bearish confluence entry triggers 3. **Any Entry Signal** — Fires on either long or short entry 4. **Strong Bull Bias** — Fires when bull confluence score crosses above 70% 5. **Strong Bear Bias** — Fires when bear confluence score crosses above 70% All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages. ## Limitations & Disclaimer - EMA crossover signals are inherently lagging — they work best in trending markets and may produce whipsaws during consolidation - The confluence score uses current-bar values; in fast markets, conditions can change quickly - The secondary timeframe RSI uses `request.security()` which may repaint on the current bar of that timeframe - TP/SL levels are visual guides — they do not execute trades automatically - Past performance of any signal system does not guarantee future results - This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management and do your own analysis before trading. ## Credits & Attribution This indicator is derived from **"Sniper Entry/Exit with SL&TP (open-source, TradingView). The following components originate from that script: - EMA crossover signal generation logic - ATR-based stop-loss and take-profit calculation - VWAP overlay - RSI and MACD display - Retest candle highlighting concept - Secondary timeframe RSI (originally hardcoded to 5m) Viprasol additions: 7-factor confluence scoring engine, bar-close confirmation, trailing stop to breakeven, configurable TP levels (1-5), configurable secondary timeframe, breakeven status labels, alert conditions, and dashboard.
Penunjuk Pine Script®
oleh viprasol
6
EMA 9,20 with Support and Resistance BreakoutThis strategy is based on two core concepts — EMA trend direction and Support/Resistance breakout confirmation. EMA Logic Two Exponential Moving Averages are plotted on the chart. EMA 9 is the fast line shown in orange and EMA 20 is the slow line shown in blue. When EMA 9 is above EMA 20 it confirms an uptrend. When EMA 9 is below EMA 20 it confirms a downtrend. These two lines together act as a trend filter so that trades are only taken in the direction of the current trend. Support and Resistance Logic Resistance is calculated as the highest high of the last 20 completed bars. Support is calculated as the lowest low of the last 20 completed bars. These levels are drawn on the chart as short dotted segments at pivot points only so the chart stays clean and not cluttered with continuous lines. Breakout Logic A buy signal is generated when the closing price crosses above the resistance level and at the same time EMA 9 is above EMA 20. This combination confirms that price has broken a key resistance level and the trend is also supporting the move upward. A sell signal is generated when the closing price crosses below the support level and EMA 9 is below EMA 20 confirming a downside breakout with trend alignment. Entry Entry is taken on the same candle where the breakout is confirmed. A green triangle with BUY label appears below the candle for long entry and a red triangle with SELL label appears above the candle for short entry. Exit Logic For long trades the target is set at 12 percent above the entry price and the stop loss is set at 6 percent below the entry price. For short trades the target is 12 percent below entry and stop loss is 6 percent above entry. Exits are handled automatically by the strategy and labeled as TP +12% when target is hit and SL -6% when stop loss is triggered. Risk to Reward The strategy maintains a fixed 1:2 risk to reward ratio on every trade. You risk 6 percent to make 12 percent which means even if only 40 percent of trades hit target the strategy remains profitable over time. Best Timeframe This strategy works best on 5 minute, 15 minutes, & 1 hour charts for intraday and swing trades. The S/R lookback period and EMA lengths can be adjusted from the settings panel based on the stock or asset being traded.
Strategi Pine Script®
oleh ankurb171991
MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average. How it Works The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe. The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line. Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive. Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum. Key Features MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart. Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend. Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility. How to Trade Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment. Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone. Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion. Technical Approach Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases." The Delta Calculation: Instead of a simple boolean filter, we calculate a relative value r = EMA_ current/EMA_ lookback By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced. Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis. Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope. Here is how to effectively use the MACD Advanced on a live chart: 1. Finding the "Trend-Momentum" Alignment The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree. The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green. Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red. Interpretation: The Daily trend is down, and intraday selling pressure is increasing. 2. Reading the "Hidden" Divergence Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD. Standard Divergence: Price makes a higher high, but MACD makes a lower high. Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal. 3. The "Snap-Back" Trade (Mean Reversion) Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average. The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean. Application: This is great for exiting a trend trade before the actual trend reversal happens. Pro Tip: The "Zero-Cross" Filter In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal. The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily.
Penunjuk Pine Script®
oleh traderharikrishna
Ultra Pulse KAMA## Overview TX Ultra Pulse KAMA is a trend-following system built upon the Kaufman Adaptive Moving Average (KAMA) architecture. Unlike standard Moving Averages that lag significantly during trend reversals, this system uses an Efficiency Ratio (ER) to automatically adjust its sensitivity based on market noise. ## How It Works (The Logic) This script does not just plot a KAMA line; it builds a volatility-gated signal system around it: 1. The Adaptive Core (KAMA) The engine calculates the "Efficiency Ratio" (ER) of price action. High ER (Clean Trend): The Moving Average speeds up to capture the move. Low ER (Choppy/Sideways): The Moving Average stops moving (flattens out) to prevent false signals. 2. Volatility Gating (The Trigger) Instead of simple crossovers, this script analyzes the Rate of Change (Delta) of the KAMA line itself. It calculates the Standard Deviation (stdev) of the KAMA's movement over a lookback period. Signal Generation: A signal is only triggered if the KAMA's momentum exceeds a specific volatility threshold (Deviation). This filters out weak breakouts that lack genuine conviction. 3. Trend Filter (The Cloud) A secondary filter layer uses two Exponential Moving Averages (Fast & Slow) to determine the macro regime. Uptrend: Price > Slow EMA & Fast EMA > Slow EMA. Downtrend: Price < Slow EMA & Fast EMA < Slow EMA. If the "Trend Filter" option is ON, Counter-trend signals are strictly suppressed. ## Settings & Modes To make the math accessible, the script includes 3 preset modes that adjust the sensitivity of the Volatility Gate: Aggressive (Scalp): Tighter deviation settings. Reacts faster but captures more noise. Best for 1m-5m charts. Normal (Balanced): The standard deviation setting optimized for 15m-1H charts. Swing (Safe): Requires a significant volatility expansion to trigger. Best for 4H-Daily charts. ## Features Non-Repainting Heikin Ashi: An option to calculate KAMA based on Heikin Ashi source data without repainting issues (using barmerge.lookahead_off). Visual Confirmation: Signals can be set to appear only after the bar closes to ensure validity. Regime Coloring: Candles are colored Aqua (Bullish Trend) or Yellow (Bearish Trend) to visualize the filter state. ## Disclaimer This tool is for educational and analytical purposes only. Technical indicators are lagging by nature and should be used as part of a comprehensive risk management strategy. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh Tonzlnxz
Adaptive Centric Moving Average [LuxAlgo]The Adaptive Centric Moving Average indicator provides a dynamic smoothing tool that adjusts its reactivity based on where the price sits relative to its recent trading range midpoint. 🔶 USAGE The Adaptive Centric Moving Average (AMA) is designed to filter out noise during periods of consolidation while remaining highly responsive during trending moves. When the price is near the center of its recent high-low range, the indicator becomes flatter and less prone to "whipsaws." As price moves toward the extremes of its range, the indicator accelerates to catch the emerging trend. Users can utilize the AMA for trend identification and trailing stop-loss levels. The visual gradient fill between the source price and the AMA line helps traders quickly identify the current trend strength and the distance between price and the smoothed average. 🔶 DETAILS The core logic of the script relies on a normalized relative position (similar to a Stochastic calculation) to determine how far the price is from its range midpoint. 🔹 Adaptive Smoothing Logic The indicator calculates a smoothing factor (alpha) based on the absolute distance from the 50% level of the range. When price is at the midpoint (50%), the alpha is zero, causing the moving average to stay flat. As price moves toward the upper or lower boundaries (0% or 100%), the alpha increases, making the average more reactive. 🔹 The Centric Calculation Unlike standard moving averages that track the source price directly, this indicator centers its target around the range midpoint. The Attenuation Factor scales the distance between the source and the midpoint, while the Power Factor applies an exponent to the smoothing factor, allowing for non-linear reactivity. 🔶 SETTINGS 🔹 Price Settings Source: The price series used for calculations (default is Close). Length: The window size used for pre-smoothing the source and determining the highest highs and lowest lows for the range. 🔹 Adaptive Settings Attenuation Factor: Controls the intensity of the price input relative to the midpoint. Lower values increase reactivity, while higher values provide a more stable, base smoothing speed. Power Factor: Exponents the smoothing factor. Higher values make the moving average significantly flatter when the price is near the range midpoint, requiring stronger moves to trigger a reaction. 🔹 Colors AMA Color: The color of the main Adaptive Centric Moving Average line. Bullish Fill: The color used for the gradient fill when the price is above the AMA. Bearish Fill: The color used for the gradient fill when the price is below the AMA.
Penunjuk Pine Script®
oleh LuxAlgo
1
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation. 🔶 Advanced MAD-Based Band Construction Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates. // Core MAD SuperTrend Framework SMA_Value = ta.sma(src, SMA_Length) Mean = ta.sma(src, MAD_Length) Abs_Deviation = abs(src - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Band Construction with Ratcheting Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value // Ratcheting logic prevents premature band adjustments 🔶 Adaptive Factor Adjustment Engine Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration. 🔶 Momentum-Based Strength Filter Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions. 🔶 SuperTrend Direction Logic Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management. 🔶 Intelligent Candle Sticking System Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals. 🔶 Dynamic Gradient Visualization Framework Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment. 🔶 MAD Channel Architecture Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions. 🔶 Multi-Layer Glow Effect System Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space. 🔶 Strength-Based State Management Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions. 🔶 Comprehensive Alert Integration Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences. 🔶 Performance Optimization Architecture Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods. This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
Penunjuk Pine Script®
oleh AlphaExtract
Crypto MA Crossover indicator v0.1Research I conducted has shown that using moving average crossovers to determine when going long a cryptocurrency (or otherwise going to cash) performs better than both buy-and-hold as other similar strategies (e.g., going long when price crossover over moving averages). Adaptive moving average strategy paper with full backtests This indicator shows if a given cryptocurrency is in a state where the best-performing moving averages have crossed over. It also shows the specific moving average settings for each cryptocurrency. Note: you will have to edit the script to update the coins and moving average settings manually.
Penunjuk Pine Script®
oleh timj
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility. 🔶 Advanced Dual EMA Direction Engine Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states. 🔶 Volume-Adjusted Normalization Framework Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves. // Volume-Adjusted Normalization Vol_Ratio = Volume_RSI / 50 Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact Dev = src - Basis_EMA Raw_Normalized = Dev / (StdDev * Multiplier) Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor 🔶 CCI Momentum Filter Integration Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries. 🔶 Multi-Layer Trend State Logic Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements. 🔶 Dynamic Volume Band Architecture Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action. 🔶 Gradient Strength Visualization System Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring. 🔶 Volume RSI Calculation Engine Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes. 🔶 Asymmetric Threshold Configuration Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density. 🔶 Alert and Signal Framework Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends. 🔶 Performance Optimization Architecture Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods. 🔶 Why Choose Volume-Adjusted CCI Trend ? This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
Penunjuk Pine Script®
oleh AlphaExtract
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks). Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h). The Concept: "Angle Settlement" Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen: Steep Angle: Momentum is accelerating. (Strong Trend) Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent) Dashboard Columns Explained TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h"). Zone: > 0 (Green): MACD is above the Zero Line (Bullish Trend context). < 0 (Red): MACD is below the Zero Line (Bearish Trend context). Cross: PCO (Green): Positive Crossover (MACD > Signal). NCO (Red): Negative Crossover (MACD < Signal). Deg (°): The calculated mathematical angle of the MACD line. Positive (+): Momentum is rising. Negative (-): Momentum is falling. State (The Strategy): STEEP (Bright Color): The angle is increasing. Do not trade against this momentum. SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover. Settings & Customization Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D"). MACD Lengths: Fully customizable (Default 12, 26, 9). Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
Penunjuk Pine Script®
oleh PratikKharat1990
Predictive ZLEMA NavigatorThis is an advanced trend-following indicator that combines Zero-Lag Exponential Moving Averages (ZLEMA) with predictive crossover analysis to identify high-probability trade entries with exceptional timing precision. Key Features: 1. Zero-Lag Technology Utilizes ZLEMA calculation to eliminate the inherent lag found in traditional EMAs Provides faster response to price movements while maintaining smooth trend identification Default periods (34/89) align with Fibonacci sequence for natural market rhythm detection 2. Predictive Crossover System Unique algorithm forecasts upcoming Golden Cross and Death Cross events before they occur Displays estimated bars until next crossover, giving traders advance preparation time Helps avoid late entries by signaling trend changes up to 200 bars in advance 3. Visual Direction Arrows Color-coded projection arrows show the momentum trajectory of both fast and slow ZLEMAs Adjustable projection length allows customization for different trading timeframes Instantly identifies whether trends are strengthening or weakening 4. Multi-Layer Signal Confirmation Clear crossover points marked with circles and confirmation ticks Dynamic fill coloring between MAs for instant trend bias recognition Bullish signals (green/blue) and bearish signals (orange/red) prevent confusion Performance Characteristics: Strengths: Reduced Whipsaws: ZLEMA's lag reduction minimizes false signals in ranging markets Early Detection: Predictive algorithm provides 10-50 bar advance warning of trend changes Versatile Application: Works across all timeframes (1-minute to daily) and asset classes Visual Clarity: Clean interface prevents information overload while maintaining comprehensive data Optimal Use Cases: Swing trading on 4H-Daily timeframes Trend confirmation for breakout strategies Portfolio rotation timing based on momentum shifts Works exceptionally well on trending assets (crypto, indices, trending stocks) Trading Approach: Enter long on Golden Cross confirmation with upward direction arrows Exit or reverse on Death Cross with downward momentum projection Use prediction labels to scale into positions before actual crossover Combine with volume analysis for enhanced confirmation Built-in Alert System: Automated notifications for both bullish and bearish crossovers ensure you never miss a trading opportunity. This indicator bridges the gap between reactive and predictive trading, giving you the speed of ZLEMA with the foresight of trend projection analysis. DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
Penunjuk Pine Script®
oleh kingshukghosh71
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. 🚀 What’s New in v2 ✅ Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. ✅ Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: ☑ Exit on opposite signal ☑ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. ✅ Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. ✅ Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. ✅ Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context ✅ Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations 🔒 Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals ⚠️ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Strategi Pine Script®
oleh vmedaram1
6
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Penunjuk Pine Script®
oleh AlphaExtract
11
Filtered TEMA CrossoverFiltered Dual TEMA Crossover This indicator is a trend-following tool based on the classic Dual Triple Exponential Moving Average (TEMA) Crossover strategy, enhanced with two robust filters: the Chop Index and the Average Directional Index (ADX). The TEMA is known for its low lag and high responsiveness, making the crossover an effective signal for trend reversals. However, trading TEMA crossovers during sideways, choppy markets often leads to false signals. This is where the filters come in. Key Features ▪️Dual TEMA Crossover: Plots two customizable TEMA lines (Fast and Slow) for clear visualization of the primary trend direction. ▪️Intelligent Signal Filtering: Buy and Sell signals are generated only when the market confirms it is in a trending state, thanks to two integrated filters: ➖Chop Index Filter: Blocks signals when the market is detected as sideways or consolidating (Chop Index reading above a user-defined threshold). ➖ADX Filter: Ensures signals are only taken when the trend strength is sufficient (ADX reading above a user-defined minimum threshold). ▪️Customizable Signals: Full control over the signal shapes (Arrows, Triangles, etc.), colors, text, and size. How to Use It Use the Filtered Dual TEMA Crossover to enter positions on trend continuation or reversal while dramatically reducing exposure to low-quality, whipsawing signals common in non-trending environments. Before the filters: After the filters: Minimize Noise. Maximize Clarity. Trade the Trend.
Penunjuk Pine Script®
oleh ZAUTEC
VWAP TrendSignalVWAP TrendSignal VWAP (Volume-Weighted Average Price) is the market’s true fair value — the benchmark institutions use to see when price is balanced, extended, or trending with real intent. Price often snaps back when it moves too far (mean reversion), and only shows genuine strength when it holds above or below VWAP. VWAP TrendSignal makes this insight effortless by color-coding VWAP direction: Yellow = VWAP rising → bullish pressure Red = VWAP falling → bearish pressure No bands. No noise. Just pure directional clarity. Anchor VWAP to the Session, Week, Month, Quarter, or Year, and tailor the Slope Smoothing Filter to your timeframe: 1–2 smoothing → fast & reactive (1–5m scalping) 3–5 smoothing → clean & stable (5–15m intraday) 6–10 smoothing → slow flips (1H–4H swings) 10–15 smoothing → macro bias only (Daily/Weekly) The line adapts to how you trade. How to Use It Mean Reversion When price stretches far from VWAP, expect pullbacks or snapbacks. Trend Direction Yellow supports long bias, red supports short bias. Simple, reliable, instantly visible. Balance Zones Price sitting near VWAP = compression, buildup, or chop. A perfect signal to wait or prepare for a breakout. Why It Works VWAP TrendSignal distills institutional logic into a clean, single-line tool. It shows fair value, trend slope, and balance all at once — making your chart clearer and your decisions faster. Once you get used to reading it, trading without it feels blind.
Penunjuk Pine Script®
oleh traderaven91
5
Portfolio Strategy TesterThe Portfolio Strategy Tester is an institutional-grade backtesting framework that evaluates the performance of trend-following strategies on multi-asset portfolios. It enables users to construct custom portfolios of up to 30 assets and apply moving average crossover strategies across individual holdings. The model features a clear, color-coded table that provides a side-by-side comparison between the buy-and-hold portfolio and the portfolio using the risk management strategy, offering a comprehensive assessment of both approaches relative to the benchmark. Portfolios are constructed by entering each ticker symbol in the menu, assigning its respective weight, and reviewing the total sum of individual weights displayed at the top left of the table. For strategy selection, users can choose between Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), Weighted Moving Average (WMA), Moving Average Convergence Divergence (MACD), and Volume-Weighted Moving Average (VWMA). Moving average lengths are defined in the menu and apply only to strategy-enabled assets. To accurately replicate real-world portfolio conditions, users can choose between daily, weekly, monthly, or quarterly rebalancing frequencies and decide whether cash is held or redistributed. Daily rebalancing maintains constant portfolio weights, while longer intervals allow natural drift. When cash positions are not allowed, capital from bearish assets is automatically redistributed proportionally among bullish assets, ensuring the portfolio remains fully invested at all times. The table displays a comprehensive set of widely used institutional-grade performance metrics: CAGR = Compounded annual growth rate of returns. Volatility = Annualized standard deviation of returns. Sharpe = CAGR per unit of annualized standard deviation. Sortino = CAGR per unit of annualized downside deviation. Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Beta (β) = Sensitivity of returns relative to benchmark returns. Alpha (α) = Excess annualized risk-adjusted returns relative to benchmark. Upside = Ratio of average return to benchmark return on up days. Downside = Ratio of average return to benchmark return on down days. Tracking = Annualized standard deviation of returns versus benchmark. Turnover = Average sum of absolute changes in weights per year. Cumulative returns are displayed on each label as the total percentage gain from the selected start date, with green indicating positive returns and red indicating negative returns. In the table, baseline metrics serve as the benchmark reference and are always gray. For portfolio metrics, green indicates outperformance relative to the baseline, while red indicates underperformance relative to the baseline. For strategy metrics, green indicates outperformance relative to both the baseline and the portfolio, red indicates underperformance relative to both, and gray indicates underperformance relative to either the baseline or portfolio. Metrics such as Volatility, Tracking Error, and Turnover ratio are always displayed in gray as they serve as descriptive measures. In summary, the Portfolio Strategy Tester is a comprehensive backtesting tool designed to help investors evaluate different trend-following strategies on custom portfolios. It enables real-world simulation of both active and passive investment approaches and provides a full set of standard institutional-grade performance metrics to support data-driven comparisons. While results are based on historical performance, the model serves as a powerful portfolio management and research framework for developing, validating, and refining systematic investment strategies.
Penunjuk Pine Script®
oleh QuantitativeAlpha