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Moving Averages

PrismWMA (Rolling)# PrismWMA (Rolling) Overview PrismWMA computes rolling VWMA, TWMA and TrueWMA over a fixed lookback window, then plots dynamic volatility bands around each. It’s the rolling-window counterpart to PrismWAP’s anchored spans, giving you per-bar, up-to-date average levels and band excursions. How It Works Every bar, PrismWMA: • Calculates VWMA, TWMA and TrueWMA over the last wmaWindowLen bars. • Computes your chosen volatility measure (Std Dev, MAD, ATR-scaled) or Percent of WMA over volWindowLen bars. • Draws upper/lower bands as ±mult × volatility (or ±mult % of the WMA in Percent mode). Inputs Settings/Default/Description WMA Lookback (bars)/50/Number of bars for rolling WMA Volatility Measure/Std Dev/Band width method: Std Dev, MAD, ATR (scaled), or Percent of WMA Volatility Lookback (bars)/50/Number of bars used to compute rolling volatility Band Multiplier (or %)/3.0/Multiplier for band width (or percent of WMA in Percent mode) Scale MAD to σ/true/When MAD is selected, scale by √(π/2) so it aligns with σ Display • Show VWMA true • Show TWMA true • Show TrueWMA true • Show VBands false • Show TBands false • Show TrueBands true References: 1. TrueWMA Description ## 1. TrueWMA: Volatility-Weighted Price Averaging What Is TrueWMA? TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average Pseudocode // TWMA Example for Comparison window_size = 50 OHLC = (Open + High + Low + Close) / 4 TWMA = MA(OHLC, window_size) // VWMA Example for Comparison window_size = 50 HLC3 = (High + Low + Close) / 3 VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size) // TrueWMA (Rolling) window_size = 50 max_val = Maximum(Close , High) min_val = Minimum(Close , Low) true_mid = (max_val + min_val) / 2 TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size) Interpretation For each bar, Rolling TrueWMA: • Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low. • Weights each TrueMid by that bar’s TrueRange. • Divides the sum of those weighted midpoints by the total TrueRange over the lookback window. The result is a single series that dynamically blends price levels with recent volatility.
Penunjuk Pine Script®
oleh DeltaStats
PrismWAP (Anchored)# PrismWAP (Anchored) Overview PrismWAP plots three anchored weighted-average prices (VWAP, TWAP, TrueWAP) with dynamic volatility bands and a resettable anchor line. It helps you see key value levels since your chosen anchor period and gauge price excursions relative to volatility. How It Works On each new span (session, week, month, quarter, etc.), the indicator resets a base price from the first bar’s open. It computes anchored VWAP, TWAP, and TrueWAP cumulatively over the span. Volatility bands are drawn as ±multiplier × a span-length-weighted average of your chosen volatility measure (Std Dev, MAD, ATR-scaled, or Percent of WAP). Inputs Settings/Default/Description Anchor Period/Quarter/Span for resetting WAP and anchor line (Week, Month, etc.) Volatility Measure/Std Dev/Method for band width: SD, MAD, ATR (scaled), Percent of WAP Volatility Spans/current+2/Number of spans (current + previous spans) used in volatility Band Multiplier(or %)/3.0/Multiplier for band width (or Percent of WAP in Percent mode) Scale MAD to σ/true/When MAD selected, scale by √(π/2) so it aligns with σ Display • Show Anchor Line true • Show VWAP true • Show TWAP true • Show TrueWAP true • Show VWAP Bands false • Show TWAP Bands false • Show TrueWAP Bands true Tips & Use Cases • Use shorter spans (Session, Week) for sub-daily bar intervals. • Use longer spans (Quarter, Year) for daily bar intervals. References: 1. TrueWAP Description 2. SD, MAD, ATR (scaled) weighted average volatility ## 1. TrueWAP: Volatility-Weighted Price Averaging What Is TrueWAP? TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueRange midpoint by its TrueRange—so when the market moves more, that bar counts more. TrueWAP (Anchored) Overview • On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting. • From the next bar onward, it computes TrueMid by averaging the TrueRange high (higher of prior close or current high) with the TrueRange low (lower of prior close or current low). • Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point. Pseudocode // TWAP Example for Comparison current_days = BarsSince("start_of_period") OHLC = (Open + High + Low + Close) / 4 TWAP = MA(OHLC, current_days) // VWAP Example for Comparison current_days = BarsSince("start_of_period") HLC3 = (High + Low + Close) / 3 VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days) // TrueWAP (Anchored) current_days = BarsSince("start_of_period") // Count of bars since the period began first_bar = (current_days == 0) // Boolean flag that is true if current bar is the first of period hilo_mid = (High + Low) / 2 // For the first bar, use its simple high/low avg max_val = max(Close , High) // For subsequent bars, TrueRange high min_val = min(Close , Low) // For subsequent bars, TrueRange low true_mid = (max_val + min_val) / 2 // True Range midpoint for subsequent bars // Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range mid_val = IF(first_bar, hilo_mid, true_mid) range_val = IF(first_bar, (High - Low), TrueRange) TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days) Recap: Interpretation • The first bar uses the simple high-low midpoint and range. • Subsequent bars use TrueMid and TrueRange based on prior close. • This ensures the average reflects only the observed volatility and price since the anchor. A Note on True Range TrueRange captures the full extent of bar-to-bar volatility as the maximum of: • High – Low • |High – Previous Close| • |Low – Previous Close| ## 2. Segmented Weighted-Average Volatility: A Fixed-Point Multi-Period Approach ### Introduction Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter. This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability. Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled). ### 2.1 Standard Deviation (Rolling Window) pseudocode // -- STANDARD DEVIATION (ROLLING) Calculation -- window_size = 20 rolling_SD = STDDEV(Close, window_size) • Ideal for immediate trading insights. • Reflects pure, short-term price dynamics. • Captures volatility using the most recent 20 trading days. ### 2.2 Blended SD: Current + 3 Past Periods This method fuses current month data with the last three complete months. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) prev2_days = TradingDaysTwoMonthsAgo prev2_SD = STDDEV_TwoMonthsAgo(Close) prev3_days = TradingDaysThreeMonthsAgo prev3_SD = STDDEV_ThreeMonthsAgo(Close) // Blending with Proportional Weights Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days + prev2_SD * prev2_days + prev3_SD * prev3_days) / (current_days + prev1_days + prev2_days + prev3_days) • Merges evolving volatility with the stability of three prior months. • Weights each period by its trading days. • Yields a robust normalization benchmark. ### 2.3 Blended SD: Current + 1 Past Period This variant tempers emerging volatility by blending the current month with last month only. pseudocode // -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period -- current_days = BarsSince("start_of_month") current_SD = STDDEV(Close, current_days) prev1_days = TradingDaysLastMonth prev1_SD = STDDEV_LastMonth(Close) // Proportional Blend Weighted_SD = (current_SD * current_days + prev1_SD * prev1_days) / (current_days + prev1_days) • Anchors current volatility to last month’s baseline. • Softens spikes by blending with historical data. Conclusion Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with enduring historical context. This fixed-point approach—applicable to SD, MAD (scaled), and ATR (scaled)—delivers time-sensitive analysis.
Penunjuk Pine Script®
oleh DeltaStats
MAD indicator buy and sellThe MAD (Moving Average Divergence) indicator is used in trading to identify potential buy and sell signals based on the divergence between moving averages. **Buy Signal:** - A buy signal is generated when the shorter-term moving average crosses above the longer-term moving average. This often indicates a potential upward momentum in the stock price. **Sell Signal:** - A sell signal occurs when the shorter-term moving average crosses below the longer-term moving average. This suggests that the stock may be losing momentum and could be headed for a decline. Traders typically look for confirmation through additional signals or analysis to increase the reliability of these buy and sell points. Always remember to manage risk properly when making trading decisions!
Penunjuk Pine Script®
oleh Sardaarsaab3110
TrendPilot AI v2 — Smart ATR Indicator with ZonesTrendPilot AI v2 is a smart price-action and ATR-based trading system designed for swing and position traders. It combines trend-following logic with adaptive price zones to help users identify high-probability Buy and Sell opportunities — along with intelligent re-entry points, weak signal detection, and visual structure zones. 🔧 Core Features: ✅ ATR-based Buy/Sell signals with confirmation logic ✅ Dynamic 99 EMA Channel for trend context ✅ Re-entry triangles for stacking or retracing setups ✅ 150 EMA Weak Signal Detection for early trend warnings ✅ 🧭 Price Action Zones (Premium, Equilibrium, Discount) ✅ Visual alerts via triangles, labels, and color-coded logic ✅ Designed for 15m, 1H, and 4H charts — also useful on Daily 🧠 How It Works (Logic Breakdown) 1️⃣ Trend Direction — EMA Channel Logic A 99 EMA Channel determines the dominant market bias. If price is above the channel → trend is Bullish → Buy signals are valid If price is below the channel → trend is Bearish → Sell signals are valid 2️⃣ Buy/Sell Signals — ATR Trailing Logic The system uses custom ATR trailing logic to detect when price momentum shifts. When a breakout aligns with trend direction, a Buy or Sell label appears. These are designed to capture the main trend leg or reversal zone. 3️⃣ Re-Entry Signals — Triangle Visual Cues During a confirmed trend, if price retraces to the EMA channel, a small triangle is shown: 🔼 Green triangle: Buy re-entry during bullish trend 🔽 Red triangle: Sell re-entry during bearish trend These are not new signals but continuation cues for advanced traders. 4️⃣ Weak Signal Detection — 150 EMA Logic A secondary 150 EMA helps detect possible trend exhaustion. If price dips below 150 EMA during a bullish run, an orange triangle appears (⚠️ caution). If price rises above 150 EMA during a bearish run, a blue triangle appears. This signals potential weakening of the active trend. 5️⃣ Price Zones — Premium, Equilibrium, Discount TrendPilot AI v2 draws 3 smart price zones based on ATR & market structure: 🟥 Premium Zone (Top) → Overbought area, caution for long trades 🟨 Equilibrium Zone (Middle) → Fair value, consolidation possible 🟩 Discount Zone (Bottom) → Oversold, better long entries These zones help filter signals and avoid entries in risky areas. Example: Avoid Buy signals inside Premium zone. 🧪 Suggested Use: ✅ Timeframes: 15m / 1H / 4H / 1D ✅ Combine signals with zone analysis for optimal entries ✅ Use re-entry triangles to add or confirm during pullbacks ✅ Use weak signal warnings to tighten stops or manage risk ✅ Works best in trending environments or breakout markets ⚠️ Note for Users: This script is not repainting. All signals are plotted with stable logic. Past performance does not guarantee future results — always backtest first. Script does not contain financial advice — use at your own discretion.
Penunjuk Pine Script®
oleh Nisar_Mehar
2
MIGA Trader DNAMIGA Trader DNA is a composite indicator that integrates: Trend Identification: Uses three exponential moving averages (fast, mid, slow) to determine market bias based on their order. Momentum Filter: An adaptive RSI whose period automatically matches the fastest EMA highlights overbought or oversold conditions. Entry Timing: A Stochastic %K crossover signals precise entry points when momentum aligns with trend direction. Volatility Envelope: An optional, SuperTrend band adjusts dynamically to changing ATR-based volatility. Visual Signals: Discrete “Buy” and “Sell” labels mark entry opportunities directly on the price chart when all conditions align.
Penunjuk Pine Script®
oleh fabauso
Refined MA + Engulfing (Strategy-Equivalent Trigger)I would like to start by saying that this indicator was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks. I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this indicator (and it's strategy twin), with the help of some alerts, can help me spend less time on the charts, so that I'm not tempted to press buttons as much. It does fire quite a bit. It can be adjusted, I believe, to trigger more or less (open the script, cooldown bars(x) <== change the X to whatever. 5 minute intervals so 1 is 5. With that being said, there are times that this indicator has shown to trigger and I ask, "Why?". I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy KR
Penunjuk Pine Script®
oleh IamKRfx
Refined MA + Engulfing (M5 + Confirmed Structure Break)I would like to start by saying that this strategy was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks. I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this strategy (and it's indicator twin) can help me spend less time on the charts, so that I'm not tempted to press buttons as much. It does fire quite a bit. But, the Strategy Tester tab shows a 30% win rate with our wins being significant to our losses. So, in theory, if you followed the rules of this strategy STRICTLY, you COULD BE profitable. With that being said, there are times that this strategy has shown to trigger and I ask, "Why?". I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy KR
Strategi Pine Script®
oleh IamKRfx
Time Range Marker By BCB ElevateThe Time Range Marker is a simple yet powerful visual tool for traders who want to focus on specific time intervals within the trading day. This indicator highlights a custom time range on your chart using a background color, helping you visually isolate key trading sessions or event windows such as: Market open/close hours News release periods High-volatility trading zones Personal strategy testing windows ⚙️ Key Features: Customizable start and end time (hour & minute) Works across all intraday timeframes Adjustable highlight color to match your chart theme Built using Pine Script v5 for speed and flexibility 🔧 Settings: Start Hour / Minute – Set the beginning of the time range (in 24-hour format) End Hour / Minute – Define when the range ends Highlight Color – Choose the background color for better visibility 🕒 Timezone Note: The indicator uses UTC time by default to ensure accuracy across markets. If your broker uses a different timezone (like EST, IST, etc.), the script can be adjusted to reflect your local market hours. ✅ How to Use the Time Range Marker Indicator This indicator is used to visually highlight a specific time window each trading day, such as: Market open or close sessions (e.g., NYSE, London, Tokyo) High-impact news release periods Custom time slots for strategy testing or scalping 🛠️ Installation Steps Open TradingView and go to any chart. Click on Pine Editor at the bottom of the screen. Copy and paste the full Pine Script (shared above) into the editor. Click the “Add to Chart” ▶️ button. The indicator will appear on the chart with a highlighted background during the time range you set. ⚙️ How to Customize the Time Range After adding the indicator: Click the gear icon ⚙️ next to the indicator’s name on the chart. Adjust the following settings: Start Hour / Start Minute: The beginning of your time range (in 24-hour format). End Hour / End Minute: When the highlight should stop. Highlight Color: Pick a color and transparency for visual clarity. Click OK to apply changes. 🕒 Timezone Consideration By default, the indicator uses UTC (Coordinated Universal Time). To match your broker’s timezone (e.g., EST, IST, etc.), you'll need to adjust the script by changing: sessStart = timestamp("Etc/UTC", ...) sessEnd = timestamp("Etc/UTC", ...) to your correct timezone, like "Asia/Kolkata" for IST or "America/New_York" for EST. Let me know your broker or local timezone, and I’ll update it for you. 📈 Tips for Traders Combine this with volume, price action, or breakout indicators to focus your strategy on high-probability time windows. Use multiple versions of this script if you want to highlight more than one time range in a day.
Penunjuk Pine Script®
oleh BCB_ELEVATE
FxSika SuperTrend ZoneThe FxSika SuperTrend Zone™ is a dynamic zone-based indicator that enhances the traditional SuperTrend concept by displaying two key structural layers: Primary Trend Line: The main directional guide, calculated using ATR and a volatility multiplier. Reaction Band: A secondary buffer area around the trend line, derived from an ATR extension. It helps visualize zones where price is likely to react or pause during pullbacks. The indicator also includes an optional Long-Term Trend Layer, calculated with higher values for both ATR length and multiplier. This broader trend context can be toggled on or off via the settings. How it works: Zones adjust automatically based on trend direction. Green zones represent bearish conditions (potential buy interest). Red zones represent bullish conditions (potential sell interest). Clear lines and shaded areas make key levels easy to spot. Extra features: Multiple alert options for zone interactions and trend shifts. Lightweight, visually clean design for easy chart integration. Fully adjustable parameters for ATR, multiplier, and zone width. This indicator helps identify high-probability reaction zones during trending markets, especially when combined with price action or confirmation-based setups.
Penunjuk Pine Script®
oleh Fxsika
Step-OMA with SignalsThe Step-OMA with Signals is a sophisticated trend-following indicator that combines Loxx's Optimized Moving Average (OMA) algorithm with an advanced step function to create a highly responsive yet smooth trend detection system. This indicator excels at identifying trend changes early while minimizing false signals through its adaptive filtering mechanism. Core Algorithm Components 1. Optimized Moving Average (OMA) Foundation Based on Loxx's advanced OMA implementation Uses a 6-stage exponential smoothing process Incorporates adaptive period calculation based on market noise Employs Jurik-style smoothing techniques for superior signal quality 2. Step Function Integration Implements a step-based trend detection mechanism Uses ATR-based dynamic threshold calculation Maintains trend consistency through threshold memory Provides clear trend change identification 3. Adaptive Noise Filtering Automatically adjusts to market volatility Calculates optimal averaging periods based on price noise Reduces false signals in choppy market conditions Speed (Default: 3.0, Range: -1.5 to unlimited) This is the most critical parameter affecting indicator behavior: Positive Speed Values (0 to 10.0+): Creates faster, more responsive signals Higher values increase sensitivity to recent price action Negative Speed Values (-1.5 to -0.1): Produces smoother, more conservative signals Reduces noise and false breakouts Creates delayed but more reliable trend confirmations Adaptive (Default: True) When enabled: Automatically adjusts averaging period based on market noise When disabled: Uses fixed length parameter Recommendation: Keep enabled for most market conditions Sensitivity Factor (Default: 3.0) Controls the threshold distance for trend change detection Lower values: More frequent signals, higher sensitivity Higher values: Fewer but more reliable signals Optimal range: 2.0-5.0 depending on market volatility Step Size Period (Default: 50) Determines the ATR calculation period for dynamic thresholds Affects the indicator's adaptation to volatility changes Lower values: More reactive to recent volatility Higher values: More stable threshold calculation For a trading application, Step-OMA is a suitable base filter to complement other types of signaling indicators (oscillators, momentum indicators). Disclaimer: This indicator is a technical analysis tool and should be used in conjunction with proper risk management and comprehensive market analysis. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh AlgoAlex81
1
Momentum Reversal StrategyBEST USE IN 15MIN TIME FRAME EURUSD / XAUSUD 1. Strategy Overview This strategy hunts short-term momentum reversals at key levels during high-liquidity sessions. Timeframes: 5-minute for entries; 15-minute for trend context Sessions: London for EUR/USD & GBP/USD; New York for XAU/USD Pairs: EUR/USD, GBP/USD, XAU/USD Indicators (3 max): EMA(20) and EMA(50) (close) MACD (12, 26, 9) histogram Optional: RSI(14) (for divergence filter) 2. Entry Rules Trend Filter (15 min): Long only if EMA20 > EMA50; short only if EMA20 < EMA50. Price-Action Zone (5 min): Identify recent swing high/low within past 20 bars. Draw horizontal support (for longs) or resistance (for shorts). Indicator Alignment (5 min): MACD histogram crossing from negative to positive for longs, positive to negative for shorts. Candle close beyond EMA20 in direction of trade. Candle Confirmation: Bullish engulfing or hammer at support for longs; bearish engulfing or shooting star at resistance for shorts. Entry Execution: Place market order on candle close that meets all above. 3. Exit Rules Stop-Loss (SL): Long: 1.5× ATR(14) below entry candle low. Short: 1.5× ATR(14) above entry candle high. Take-Profit (TP): Set at 2× SL distance (RR 1:2). Trailing SL: After price moves 1× SL in profit, trail SL to breakeven. Partial Booking: Close 50% at 1× SL (50% of TP), move SL to entry. Close remaining at full TP. 4. Trade Management False Signal Filter: Skip trades when RSI(14) > 70 for longs or < 30 for shorts (avoids overbought/oversold extremes). One Trade at a Time: No multiple positions on same pair. Session Cutoff: Close any open trade 15 minutes before session end. 5. Risk Parameters Risk per Trade: 1% of account equity. Reward Target: ≥2% (1:2 RR) per trade. Win-Rate Expectancy: ≥75% based on indicator confluence and price-action confirmation.
Penunjuk Pine Script®
oleh akc_11-11
EMA 8/21/50 + VWAP Crossover Alert IndicatorOverview of the Indicator This is a custom Pine Script v5 indicator for TradingView titled "EMA 8/21/50 + VWAP Crossover Alert Indicator" (short title: "EMA+VWAP Cross Alert"). It's designed as an overlay indicator, meaning it plots directly on your price chart rather than in a separate pane. The primary purpose is to detect and alert on crossovers between the 8-period Exponential Moving Average (EMA) and the 21-period EMA, which can signal potential bullish or bearish momentum shifts. These are classic short-term trend reversal or continuation signals often used in trading strategies like momentum or swing trading. To enhance analysis, it also includes: A 50-period EMA for medium-term trend context (e.g., to confirm if the overall trend aligns with the crossover). A Volume Weighted Average Price (VWAP) line, which provides a benchmark for the average price weighted by volume, useful for identifying intraday value areas or fair price levels. The indicator works across all timeframes (e.g., Daily, 4H, 1H, 15M, 5M, 3M) because the calculations are based on the chart's current bars and adapt to volatility and data resolution. It's not a trading strategy (no entry/exit logic or backtesting), but an alert tool—signals are visual and can trigger notifications in TradingView. Always combine it with risk management, as crossovers can produce false signals in ranging or choppy markets.
Penunjuk Pine Script®
oleh Az_Tinks
EMA 8/21 Crossover Alert IndicatorOverview of the Indicator This is a custom Pine Script v5 indicator for TradingView titled "EMA 8/21/50 + VWAP Crossover Alert Indicator" (short title: "EMA+VWAP Cross Alert"). It's designed as an overlay indicator, meaning it plots directly on your price chart rather than in a separate pane. The primary purpose is to detect and alert on crossovers between the 8-period Exponential Moving Average (EMA) and the 21-period EMA, which can signal potential bullish or bearish momentum shifts. These are classic short-term trend reversal or continuation signals often used in trading strategies like momentum or swing trading. To enhance analysis, it also includes: A 50-period EMA for medium-term trend context (e.g., to confirm if the overall trend aligns with the crossover). A Volume Weighted Average Price (VWAP) line, which provides a benchmark for the average price weighted by volume, useful for identifying intraday value areas or fair price levels. The indicator works across all timeframes (e.g., Daily, 4H, 1H, 15M, 5M, 3M) because the calculations are based on the chart's current bars and adapt to volatility and data resolution. It's not a trading strategy (no entry/exit logic or backtesting), but an alert tool—signals are visual and can trigger notifications in TradingView. Always combine it with risk management, as crossovers can produce false signals in ranging or choppy markets. How It Behaves Across Timeframes Higher Timeframes (e.g., Daily/4H): Fewer crossovers, focusing on major trends. EMAs smooth out noise; VWAP might represent session averages. Lower Timeframes (e.g., 3M/5M): More frequent signals due to sensitivity, but higher risk of whipsaws. VWAP resets per session, making it great for intraday trading. Adaptability: All components scale with bar data—no manual adjustments needed, though tweaking inputs can optimize for specific frames. In TradingView, you can set up these alerts to notify via popup, sound, email, SMS, or webhook (e.g., to a trading bot). Go to the chart's "Alert" button, select this indicator, and choose conditions like "Bullish Cross" or use the script's built-in alerts.
Penunjuk Pine Script®
oleh Az_Tinks
Supertrend with ADX & MTF MA Filter# **Supertrend with ADX & MTF MA Filter - Comprehensive Explanation** --- ## **1. Purpose of This Indicator** This indicator combines three powerful technical analysis tools to create a robust trading system: ✅ **Supertrend** (Trend-following) ✅ **ADX Filter** (Trend strength confirmation) ✅ **MTF MA Filter** (Multi-timeframe trend direction confirmation) **Primary Goals:** ✔ **Identify high-probability trend reversals** with confirmation from multiple indicators ✔ **Filter out weak trends** using ADX (Average Directional Index) ✔ **Add higher timeframe context** with MTF (Multi-TimeFrame) Moving Average ✔ **Reduce false signals** by requiring confluence between all three components --- ## **2. Core Logic & Components** ### **A. Supertrend (Base Indicator)** - **Calculation:** ```pine up = hl2 - (Multiplier * ATR(Periods)) dn = hl2 + (Multiplier * ATR(Periods)) ``` - **Bullish trend** when price > `up` (green line) - **Bearish trend** when price < `dn` (red line) - **Why Supertrend?** - Simple yet effective trend-following system - Adapts to volatility via ATR (Average True Range) --- ### **B. ADX Filter (Trend Strength Confirmation)** - **ADX Calculation:** ```pine = calcADX(adxLength, adxSmoothing) strongTrend = adxVal >= adxThreshold ``` - **ADX > Threshold (Default: 20)** = Strong trend - **DI+ > DI-** = Bullish momentum - **DI- > DI+** = Bearish momentum - **Why ADX?** - Avoids trading in choppy markets (low ADX = weak trend) - Confirms if Supertrend signals occur in a strong trend --- ### **C. MTF MA Filter (Higher Timeframe Trend Alignment)** - **Moving Average Calculation:** ```pine = getMA(maSource, maLength, maType, maTF) ``` - **MA Type:** SMA, EMA, WMA, or DEMA - **Timeframe:** Any (1m, 5m, 1H, 4H, D, W, M) - **Trend Direction:** - **Buy Signal:** MA must be **rising** - **Sell Signal:** MA must be **falling** - **Why MTF MA?** - Aligns trades with the **higher timeframe trend** - Reduces counter-trend entries --- ## **3. How to Use This Indicator** ### **A. Buy Conditions (All Must Be True)** 1. **Supertrend turns bullish** (price crosses above `up` line) 2. **ADX ≥ Threshold** (trend is strong) 3. **Higher timeframe MA is rising** (confirms bullish bias) ### **B. Sell Conditions (All Must Be True)** 1. **Supertrend turns bearish** (price crosses below `dn` line) 2. **ADX ≥ Threshold** (trend is strong) 3. **Higher timeframe MA is falling** (confirms bearish bias) ### **C. Recommended Settings** | Parameter | Recommended Value | Description | |-----------|------------------|-------------| | **ATR Period** | 14 | Sensitivity of Supertrend | | **Multiplier** | 1.5-3.0 | Adjust for volatility | | **ADX Threshold** | 20-25 | Higher = stricter trend filter | | **MA Length** | 20-50 | Smoothness of trend filter | | **MA Timeframe** | 1H/D | Align with trading style | --- ## **4. Trading Strategies** ### **A. Trend-Following Strategy** - **Enter:** When all 3 conditions align (Supertrend + ADX + MA) - **Exit:** When Supertrend flips or ADX drops below threshold ### **B. Pullback Strategy** - **Wait for:** - Supertrend in trend direction - ADX remains strong - MA still aligned - **Enter:** On pullback to Supertrend line ### **C. Multi-Timeframe Confirmation** - **Intraday traders:** Use 4H/D MA for trend bias - **Swing traders:** Use D/W MA for trend bias --- ## **5. Advantages Over Standard Supertrend** ✔ **Fewer false signals** (ADX filters weak trends) ✔ **Higher timeframe alignment** (avoids trading against larger trends) ✔ **Customizable MA types** (SMA, EMA, WMA, DEMA) ✔ **Works on all markets** (stocks, forex, crypto) --- ### **Final Thoughts** This indicator is designed for traders who want **high-confidence trend signals** by combining: 🔹 **Supertrend** (entry trigger) 🔹 **ADX** (trend strength filter) 🔹 **MTF MA** (higher timeframe trend alignment) By requiring all three components to align, it significantly improves signal quality compared to standalone Supertrend systems. **→ Best for:** Swing trading, trend-following, and avoiding choppy markets.
Penunjuk Pine Script®
oleh shinhasegawa