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MA % Deviation ChannelMA % Deviation Channel — an indicator for measuring price deviation from the moving average MA % Deviation Channel (MA%DC) is a visual analysis tool that shows how far the current price deviates from a selected moving average, expressed in percentages. The indicator builds dynamic channels based on historical percentage deviations, helping traders identify statistical extremes and use them as potential reversal or continuation zones. How the indicator works MA%DC calculates the percentage deviation of High and Low from the chosen MA and stores these values in arrays. Based on the average deviation values, the script plots four key levels: Avg. High Dev. — average deviation of highs from the MA Avg. Low Dev. — average deviation of lows from the MA Avg. Extreme High Dev. — extreme (above-average) deviations of highs Avg. Extreme Low Dev. — extreme (below-average) deviations of lows The width of the channel automatically adapts to the selected MA period — the longer the period, the deeper the historical analysis. Purpose and use cases MA % Deviation Channel helps: Evaluate volatility relative to the moving average Identify overbought and oversold zones based on real price behavior Filter breakouts and false impulses Build trend-following and counter-trend strategies using statistical deviations Advantages Based on percentage deviation rather than fixed distances Adaptive to changing market conditions Supports 5 popular types of moving averages Settings MA Source — data source for the moving average MA Type — moving average type (SMA, EMA, WMA, VWMA, RMA) MA Length — smoothing period Visual elements The moving average line Average deviation channels Extreme deviation channels Color fills between levels for improved readability
Pine Script® 인디케이터
Pechka_Rider의
HTF BIAS FILTER🧭HTF Bias Filter Indicator: 5 in 1 indicator Technical Overview The Bias Filter is a comprehensive multi-timeframe tool designed to confirm directional bias using five key indicators before entering a trade. It plots higher-timeframe Moving Averages directly on the chart and provides an immediate status summary via a static dashboard. The more confluence on the dashboard, the greater the probability of the direction of the trade. 1. 📊 Display Components A. Plotted Lines The indicator uses the request.security function to draw Moving Averages from higher timeframes onto your current chart: 1H EMA 21 (Purple): The 21-period Exponential Moving Average calculated on the 1-Hour (60 min) chart. Plotted using a step-line style. 4H EMA 50 (Red): The 50-period Exponential Moving Average calculated on the 4-Hour (240 min) chart. Plotted using a step-line style. B. Directional Dashboard A fixed-position summary table is anchored to the bottom-right corner of the chart, providing a quick glance at the current status of all five filters. 2. 🎨 Colour Logic Each of the five indicators is assigned a colour based on its current directional signal. The more indicators that show the same colour (confluence), the stronger the signal and the higher the likelihood of a high-probability trade. 🟢 Green indicators are signaling UP/BUY (Bullish momentum or trend). 🔴 Red indicators are signaling DOWN/SELL (Bearish momentum or trend). ⚫ Gray indicators are signaling Mixed or flat directions (neutral or undecided). Note: The dashboard's main header color is determined by a strict confluence logic (All four 4H filters must align for Green/Red), while individual indicator colors follow the simple rules above. 3. 📋 Indicator Breakdown and Logic The dashboard provides the direction of five different filters. 3.1. Higher-Timeframe (HTF) Trend Indicators These two signals determine the immediate slope and direction of the primary Moving Averages: 4H EMA 50: Timeframe: 4-Hour (240 min) Logic: Compares the current EMA value to the value two bars ago on the 4H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 1H EMA 21: Timeframe: 1-Hour (60 min) Logic: Compares the current EMA value to the value two bars ago on the 1H chart. Output: UP ↑, DOWN ↓, or FLAT ⏸ 3.2. 4-Hour Confluence Filters These three indicators provide supplementary confirmation on Volume, Price Position, and Momentum, all calculated on the 4-Hour (240 min) chart: 4H OBV (Smoothed): Timeframe: 4-Hour (240 min) Logic: Direction is based on the current value of the 21-bar smoothed On-Balance Volume (OBV) compared to its value nine bars ago. Output: UP ↑, DOWN ↓, or FLAT ⏸ 4H ATR DIR (EMA Proxy): Timeframe: 4-Hour (240 min) Logic: Determines the price position by comparing the current Close price against the 4H EMA 50. Output: BUY 🟢 (Close > EMA 50), SELL 🔴 (Close < EMA 50), or FLAT ⏸️ (Close = EMA 50). 4H RSI (14): Timeframe: 4-Hour (240 min) Logic: Momentum check comparing the 14-period Relative Strength Index (RSI) value against the 50 level. Output: BUY 🟢 (RSI > 50), SELL 🔴 (RSI < 50), or FLAT ⏸️ (RSI = 50).
Pine Script® 인디케이터
djdickenson82의
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
Pine Script™ 전략
Especulador96의
2
RSI Hybrid + EMA Cloud + Swings(15m/2H)RSI Hybrid + EMA Cloud (15m Trend + 2H Momentum) A dual-timeframe trading system combining fast 15-minute trend structure with higher-timeframe 2-Hour momentum, volume and structural levels. 🧩 What This Indicator Does This tool blends: 🔹 15m Trend (EMA Cloud) – 2 Points EMA 7 vs 21 → Short trend EMA 30 vs 74 → Long trend Cloud shading highlights bullish/bearish alignment Faster, intraday trend sensitivity 🔹 2H Momentum (RSI Hybrid) – 3 Points RSI > 50 RSI > SMA(4) RSI > SMA(12) Gives short / medium / long momentum confirmation from the higher timeframe. 🔹 2H Volume Pressure – 1 Point Volume vs 20-SMA Mild / Moderate / Strong Bull/Bear Confirms true participation behind price moves ⭐ Score System (0–6 Total) Component Points 15m EMA Trend 2 2H RSI Hybrid 3 2H Volume Power 1 Total 6 Interpretation: 5–6 → High-confluence direction 3–4 → Partial confluence 1–2 → Weak bias 0 → No reliable direction Designed for discretionary and semi-systematic intraday traders. 📊 15m Structural Levels Includes: ✔ Last confirmed 15m Swing High / Swing Low Based on close-price pivots, not highs/lows. ✔ Live Running High since last Swing LOW Tracks how far price has extended upward. ✔ Live Running Low since last Swing HIGH Tracks downward extension after a swing high. ✔ ATR(15m) Volatility reference for SL/TP or risk modeling. These levels help in timing entries, managing stops, and identifying breakout/breakdown zones. 🖥 On-Chart Info Table Summarizes: 15m EMA short & long trend 2H RSI short/medium/long momentum RSI vs 50 2H volume power Bull & Bear score (with breakdown) Last 15m swing highs/lows ATR(15m) Color-coded for clarity 💡 Why Use This Indicator High-speed 15m trend detection Higher-TF 2H momentum & volume confirmation Multi-layered bias presented in a simple score Built-in structure for more intelligent entries/exits Works on indices, stocks, FX, crypto Ideal for intraday traders who want speed + reliability
Pine Script® 인디케이터
phantomscharts의
MTF EMA Directional Bias -1hr and 4hr A compact, fixed-position table (bottom-right corner) that shows the current slope direction of two higher-timeframe EMAs: 4H EMA 50 → direction over the last 2 bars (UP ↑, DOWN ↓, or FLAT ⏸) 1H EMA 21 → direction over the last 2 bars (UP ↑, DOWN ↓, or FLAT ⏸) Background color logic: Green → both 4H and 1H EMAs are sloping upward Red → both 4H and 1H EMAs are sloping downward Gray → mixed or flat directions (no confluence) Additionally draws the actual 1H EMA-21 (purple) and 4H EMA-50 (red) as step-lines on the chart.
Pine Script® 인디케이터
djdickenson82의
20/50/200 EMA with RVOL Filter Hariss 369Understanding to trade with this indicator is very simple. 20 EMA acts as dynamic support and resistance. 50 EMA is best for intraday/short term trend filter and 200 EMA is best for long term trend filter. One should always trade with the trend. Combination of all threes entails safe trading with trend. Undoubtedly, volume plays vital role to move the price up or down. The volume indicator used here is Relative Volume (RVOL) rather simple volume. 1.5 RVOL is considered as strong trend to trade considering other factors intact. You can tick/untick RVOL and you can also change the level of RVOL from input section. You can also change the color of EMAs and pattern of buy and sell signal. Place this indicator over the chart. You can choose any type of asset and any time frame. Though buy and sell signals are there. The concept of trading is buy when price closes above 20 ema and 20 ema >50ema>200 ema. Place stop loss below the low of last candle or just below 20 ema. Target 1.5/2 times of stop loss. You can also trail it with 20 ema or 50 ema depending upon your trading style and risk appetite. You can also take positional trade, in that case 200 ema to be considered as stop loss. Sell when price closes below 20 ema, 20 ema<50ema<200 ema. For intraday trading, 20 ema is best to enter and exit. Taking RVOL into consideration is best way in order to trade with high liquidity-safer way to entry and exit.
Pine Script® 인디케이터
Hariss369의
200SMA Distance OscillatorThe oscillator measures the percentage deviation of closing price x from SMA200. The idea behind the oscillator was preceded by an analysis of how often MAs in the index hold/bounce or are broken through. Basically, the idea was about index analysis, i.e., the macro picture of a market. Who wants to buy individual stocks when the overall market is plummeting ;-) Or in other words: How long are you long in a market? When is it time to take profits? After the analysis of the stability of SMAs in the index was rather modest (ratio of just under 6:4 for bounce to breakout – overall in 20, 50, 100, and 200 frames from 2020 to 2025), it was noticeable that the percentage over- or underperformance was scalable, especially in indices. And since indices generally move upwards, there were fixed limits for over- and underestimations – especially in the longer term (SMA200) – unlike with individual stocks. It is therefore more a question of macro trends and less of short-term movements, e.g., in day trading. It was now interesting to see at what percentage range counter-movements were likely – particularly in the positive range for profit-taking, but of course also in the negative range for entry into sold-off markets. If, for example, closing prices around +25% above SMA200 were reached in the NDX, the probability is very high that the market has overreacted and an interim correction will follow – so the theory goes. On the other hand, continuous levels of +5 to +10% are a product of healthy positive development in a bull market and do not necessarily require action. The oscillator was specifically designed for the NDX, but can also be used for the SPX and others. The style was based on the RSI, so that the color level rises from 10% to 20% (overbought/oversold principle). Based on manually examined movements, the criteria were set as follows: +/-10% = flow / no color background > +/-10% = border areas / color background The center line represents the 252 average of the percentage deviations and could also be used as a trigger, provided it has been historically examined and is valid. The oscillator is very interesting because it behaves completely differently from one financial instrument to another and, as a result, also in the timeframes (4h, D, W). It would probably make sense to change the flow and border levels in the code when using it outside of indices. The fact is that the oscillator must be “adjusted” to each instrument in order to achieve its goal of providing the best possible prediction. “Adjusting” refers to the analysis of the levels at which an instrument/asset usually reacts. As with all indicators and oscillators, it is advisable to take other indicators and, in particular, macro news into account when analyzing this development. If I find any substantial correlations with other indicators, I will be happy to provide an update. The idea came from me, the code from Grok. The code is not 100% perfect, but the data (percentage deviation, color background) is correct according to initial analysis. In the settings, you can make the lines of the plots invisible. This makes the oscillator clearer. You can also adjust the settings for the average line.
Pine Script® 인디케이터
MajorTom111의
DeltaATR + VWAP DIF + MA'sI attempted to create an indicator using a different approach to analyzing potential trend reversals, and although it is still a work in progress, it is already fully functional. The indicator combines the price relative to VWAP with ATR normalization, providing a way to measure deviations in terms of market volatility. How the indicator works: Delta Calculation: The core of the indicator calculates the difference between the current price and the VWAP (Volume Weighted Average Price), then normalizes this difference by the ATR (Average True Range). This provides a volatility-adjusted measure of how far the price has moved relative to its typical range. Histogram Visualization: The deltaATR is displayed as a histogram, where positive values indicate the price is above VWAP and negative values indicate it is below. The histogram is color-coded for easy interpretation: typically red for above VWAP and green for below, with configurable transparency. Dual Moving Averages: Two moving averages (fast and slow) are applied to the deltaATR. This creates a crossover system: When the fast average crosses above the slow average, it may indicate an upcoming bullish reversal. When the fast average crosses below the slow average, it may indicate a potential bearish reversal. Zero Line Reference: A reference line at zero corresponds to VWAP, helping traders see whether price is generally above or below the average volume-weighted level. Alert Lines (Optional Panel): A second panel provides four configurable alert lines, allowing users to set key thresholds to monitor extreme deltaATR values. These lines are thin, dashed, and fully customizable in terms of color and thickness. Panel for Values and Signals: The indicator includes a side panel showing: Current deltaATR Fast and slow averages Current trend signal (Bullish, Bearish, or Neutral) How it can be used: Identify potential trend reversals by monitoring the crossover between the fast and slow averages of deltaATR. Use the histogram to observe when the price is deviating significantly from VWAP in terms of ATR. Set alert lines for specific thresholds to highlight overextended conditions or significant volatility moves. Combine with other technical indicators for confirmation before entering or exiting trades. This indicator is particularly useful for traders looking to anticipate reversals in volatile markets, as it adapts the delta measure to the current market conditions using ATR normalization, making it more responsive and robust than raw price deviations alone.
Pine Script® 인디케이터
ueuito의
GBPUSD Weekly Cross LinesThis indicator tracks 20/50 EMA crossovers on GBPUSD (Weekly timeframe) and displays the crossover points across all symbols and timeframes, allowing traders to visually align current price action with key historical turning points in GBPUSD. The script works by detecting bullish (20 EMA crossing above 50 EMA) and bearish (20 EMA crossing below 50 EMA) signals since 2010, using request.security() to source data from GBPUSD weekly candles, even if the indicator is applied to AAPL, EURJPY, BTCUSD, or any other asset. Each crossover is marked with a vertical line that persists across all charts, offering a powerful way to: Compare current market context with GBPUSD’s historical trend shifts Observe intermarket correlations Align trading timing across multiple assets Spot macro trend transitions that ripple across global markets
Pine Script® 인디케이터
bellotifang의
Uptrick: Dynamic Z-Score DivergenceIntroduction Uptrick: Dynamic Z-Score Divergence is an oscillator that combines multiple momentum sources within a Z-Score framework, allowing for the detection of statistically significant mean-reversion setups, directional shifts, and divergence signals. It integrates a multi-source normalized oscillator, a slope-based signal engine, structured divergence logic, a slope-adaptive EMA with dynamic bands, and a modular bar coloring system. This script is designed to help traders identify statistically stretched conditions, evolving trend dynamics, and classical divergence behavior using a unified statistical approach. Overview At its core, this script calculates the Z-Score of three momentum sources—RSI, Stochastic RSI, and MACD—using a user-defined lookback period. These are averaged and smoothed to form the main oscillator line. This normalized oscillator reflects how far short-term momentum deviates from its mean, highlighting statistically extreme areas. Signals are triggered when the oscillator reverses slope within defined inner zones, indicating a shift in direction while the signal remains in a statistically stretched state. These mean-reversion flips (referred to as TP signals) help identify turning points when price momentum begins to revert from extended zones. In addition, the script includes a divergence detection engine that compares oscillator pivot points with price pivot points. It confirms regular bullish and bearish divergence by validating spacing between pivots and visualizes both the oscillator-side and chart-side divergences clearly. A dynamic trend overlay system is included using a Slope Adaptive EMA (SA-EMA). This trend line becomes more responsive when Z-Score deviation increases, allowing the trend line to adapt to market conditions. It is paired with ATR-based bands that are slope-sensitive and selectively visible—offering context for dynamic support and resistance. The script includes configurable bar coloring logic, allowing users to color candles based on oscillator slope, last confirmed divergence, or the most recent signal of any type. A full alert system is also built-in for key signals. Originality The script is based on the well-known concept of Z-Score valuation, which is a standard statistical method for identifying how far a signal deviates from its mean. This foundation—normalizing momentum values such as RSI or MACD to measure relative strength or weakness—is not unique to this script and is widely used in quantitative analysis. What makes this implementation original is how it expands the Z-Score foundation into a fully featured, signal-producing system. First, it introduces a multi-source composite oscillator by combining three momentum inputs—RSI, Stochastic RSI, and MACD—into a unified Z-Score stream. Second, it builds on that stream with a directional slope logic that identifies turning points inside statistical zones. The most distinctive additions are the layered features placed on top of this normalized oscillator: A structured divergence detection engine that compares oscillator pivots with price pivots to validate regular bullish and bearish divergence using precise spacing and timing filters. A fully integrated slope-adaptive EMA overlay, where the smoothing dynamically adjusts based on real-time Z-Score movement of RSI, allowing the trend line to become more reactive during high-momentum environments and slower during consolidation. ATR-based dynamic bands that adapt to slope direction and offer real-time visual zones for support and resistance within trend structures. These features are not typically found in standard Z-Score indicators and collectively provide a unique approach that bridges statistical normalization, structure detection, and adaptive trend modeling within one script. Features Z-Score-based oscillator combining RSI, StochRSI, and MACD Configurable smoothing for stable composite signal output Buy/Sell TP signals based on slope flips in defined zones Background highlighting for extreme outer bands Inner and outer zones with fill logic for statistical context Pivot-based divergence detection (regular bullish/bearish) Divergence markers on oscillator and price chart Slope-Adaptive EMA (SA-EMA) with real-time adaptivity based on RSI Z-Score ATR-based upper and lower bands around the SA-EMA, visibility tied to slope direction Configurable bar coloring (oscillator slope, divergence, or most recent signal) Alerts for TP signals and confirmed divergences Optional fixed Y-axis scaling for consistent oscillator view The full setup mode can be seen below: Input Parameters General Settings Full Setup: Enables rendering of the full visual system (lines, bands, signals) Z-Score Lookback: Lookback period for normalization (mean and standard deviation) Main Line Smoothing: EMA length applied to the averaged Z-Score Slope Detection Index: Used to calculate directional flips for signal logic Enable Background Highlighting: Enables visual region coloring in overbought/oversold areas Force Visible Y-Axis Scale: Forces max/min bounds for a consistent oscillator range Divergence Settings Enable Divergence Detection: Toggles divergence logic Pivot Lookback Left / Right: Defines the structure of oscillator pivot points Minimum / Maximum Bars Between Pivots: Controls the allowed spacing range for divergence validation Bar Coloring Settings Bar Coloring Mode: ➜ Line Color: Colors bars based on oscillator slope ➜ Latest Confirmed Signal: Colors bars based on the most recent confirmed divergence ➜ Any Latest Signal: Colors based on the most recent signal (TP or divergence) SA-EMA Settings RSI Length: RSI period used to determine adaptivity Z-Score Length: Lookback for normalizing RSI in adaptive logic Base EMA Length: Base length for smoothing before adaptivity Adaptivity Intensity: Scales the smoothing responsiveness based on RSI deviation Slope Index: Determines slope direction for coloring and band logic Band ATR Length / Band Multiplier: Controls the width and responsiveness of the trend-following bands Alerts The script includes the following alert conditions: Buy Signal (TP reversal detected in oversold zone) Sell Signal (TP reversal detected in overbought zone) Confirmed Bullish Divergence (oscillator HL, price LL) Confirmed Bearish Divergence (oscillator LH, price HH) These alerts allow integration into automation systems or signal monitoring setups. Summary Uptrick: Dynamic Z-Score Divergence is a statistically grounded trading indicator that merges normalized multi-momentum analysis with real-time slope logic, divergence detection, and adaptive trend overlays. It helps traders identify mean-reversion conditions, divergence structures, and evolving trend zones using a modular system of statistical and structural tools. Its alert system, layered visuals, and flexible input design make it suitable for discretionary traders seeking to combine quantitative momentum logic with structural pattern recognition. Disclaimer This script is for educational and informational purposes only. No indicator can guarantee future performance, and trading involves risk. Always use risk management and test strategies in a simulated environment before deploying with live capital.
Pine Script® 인디케이터
Uptrick의
7
Daily vs Monthly VWAP CrossoverDaily vs Monthly VWAP Crossover Strategy Description: Overview This indicator is a trend-following tool designed to identify significant shifts in market sentiment by comparing short-term institutional value against the longer-term trend. It utilizes Anchored VWAP (Volume Weighted Average Price) logic to track the average price paid by traders for the current Day versus the current Month. How It Works Unlike standard Moving Averages which lag significantly, VWAP factors in volume, making it a preferred benchmark for institutional traders. Daily VWAP (Fast Line): Anchors at the start of the current trading day. It represents the intraday equilibrium price. Monthly VWAP (Slow Line): Anchors at the start of the current month. It represents the broader value consensus for the month. The indicator calculates these values cumulatively on every tick/bar, regardless of the chart timeframe selected (e.g., 30m, 1h). Trading Logic & Signals The strategy is based on the concept of value migration: BUY Signal (Bullish Reversal): Triggers when the Daily VWAP crosses ABOVE the Monthly VWAP. This suggests that short-term buying pressure and volume are pushing the price higher than the monthly average cost basis, indicating a potential breakout or trend continuation. SELL Signal (Bearish Reversal): Triggers when the Daily VWAP crosses BELOW the Monthly VWAP. This indicates that intraday weakness has dragged the price below the month's average value, signaling potential downside momentum. Features Visual Crossovers: Clearly marked "B" (Buy) and "S" (Sell) labels on the chart. Trend Background: The background color changes subtly (Green/Red) to indicate the current dominance of the Daily vs. Monthly trend. Alerts: Fully compatible with TradingView alerts for real-time notifications on crossovers. Best Practices Timeframe: Designed optimally for intraday charts such as 30-minute or 1-hour timeframes. Confirmation: As with any VWAP strategy, this works best when combined with price action analysis (e.g., breakout of key resistance) rather than used blindly in choppy, sideways markets.
Pine Script® 인디케이터
Spoiltbrat의
Multi Time Frame EMA & MA IndicatorThis indicator automatically applies prime-number EMAs and MAs based on the current chart timeframe, using faster cool-tone EMAs and slower warm-tone MAs to clearly distinguish momentum vs trend. It adapts dynamically for 1m, 5m, 15m, 1H, 4H, and 1D charts, and uses a visual hierarchy where thinner lines represent faster averages and thicker lines represent slower ones, ensuring clarity in both light and dark themes. An on-chart label displays which EMA and MA lengths are active for the selected timeframe.
Pine Script® 인디케이터
ajaychobey7의
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals. 🛠️ Tools Used 1. EMA Fast – Primary Short-Term Trend 2. EMA Slow – Long-Term Trend Filter 3. Parabolic SAR – Reversal Confirmation 🎯 Entry Rules 📈 Buy Setup 1. Trend Filter: EMA Fast > EMA Slow → Uptrend 2. Pullback: Price pulls back and closes below the EMA Fast line. 3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed. 5. Entry: Enter Buy immediately. 📉 Sell Setup 1. Trend Filter: EMA Fast < EMA Slow → Downtrend 2. Pullback: Price pulls back and closes above the EMA Fast line. 3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line. 4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed. 5. Entry: Enter Sell immediately. 💰 Exit Management (Entry, Stop Loss, Take Profit) 1. Entry: Enter the order at the closing price of the signal candle. 2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot. 3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio. ⚙️ Optional Parameters ➭ Custom Risk/Reward Ratio for Take Profit. ➭ Option to add an ATR buffer to the Stop Loss. ➭ Adjustable EMA Fast period. ➭ Adjustable EMA Slow period. ➭ Adjustable Parabolic SAR parameters. ➭ Option to enable Long-only / Short-only positions. ➭ Customizable Backtest start and end date. ➭ Customizable trading session time. 🔔 Alert Function Alerts display: ➭ Entry Price ➭ Stop Loss Price ➭ Take Profit Price 💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders! ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Pine Script™ 전략
Truth_Strategy_Indie의
EMA 5/10/20/34/55/60/120/255Overview - Plots eight Exponential Moving Averages on the price chart: EMA(5/10/20/34/55/60/120/255) . - Designed for light (white) theme with high-contrast colors and uniform linewidth=1 . - Written in Pine Script v6 ( overlay=true ), no alerts or extra visuals. Why These Lengths - 5, 10 : Short-term momentum and intraday rhythm. - 20, 34 : Swing trend and pullback structure (34 is Fibonacci-based). - 55, 60 : Deeper swing/weekly alignment commonly used by trend traders. - 120, 255 : Mid/long-term trend filters (~half-year and ~annual trading days). How To Read - Trend filter: Price above EMA(120/255) favors bullish context; below favors bearish. - Alignment: Strong bull trend when 5 > 10 > 20 > 34 > 55 > 60 > 120 > 255 and slopes up; inverse for bear trends. - Pullbacks: Shallow pullbacks often respect 5/10 ; standard pullbacks 20/34 ; deeper tests 55/60 . - Slope matters: Up/flat/down slopes of the longer EMAs ( 120/255 ) reflect trend strength more reliably than single crossovers. Typical Use Cases - Trend following: Trade in the direction of 120/255 and the stacked EMA order. - Pullback entries: Look for stabilizing price action around 20/34 within a trend. - Breakout confirmation: Sustain above/below a key EMA, then retest and hold. - Risk management: Place stops beyond nearby EMAs, optionally buffered by ATR. Tips - Use the Data Window to identify each EMA line by its title ( EMA(5) , EMA(10) , etc.). - Combine with volatility/strength filters (e.g., ATR, ADX) to reduce range-bound noise. - Multi-timeframe consistency (e.g., higher TF EMA(255) aligned with current TF EMA(55/60) ) improves selectivity. Limitations - All moving averages are lagging by design; expect delayed signals. - In consolidations, frequent crossovers can create whipsaws; apply filters or focus on slope and structure. Disclaimer - For educational purposes only. Not financial advice. Always validate on your instruments and timeframes and manage risk accordingly.
Pine Script® 인디케이터
LiLiam의
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew: ### Scalper’s Trend Filter (Triple EMA) This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum . - Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) . - Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA . - Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 . ### Flip Zone Trap (Reversal Catching) This method identifies precise reversal moments where market structure shifts from weakness to strength . - Use the 15-min chart to locate key support or resistance zones where price previously reacted . - Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) . - Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry . ### Liquidity Shift Trigger (Smart Money Trap) This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries . - Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) . - Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) . - Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction . *** ### Practical Application - These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity . - Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools . All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
Pine Script® 인디케이터
asifhkin의
Turtle System 2 (55/20) + N-Stop + MTF Table V7.2🐢 Description: Turtle System 2 (55/20) IndicatorThis indicator implements the trading signals of the Turtle Trading System 2 based on the classic Donchian Channels, supplemented by a historically correct, volatility-based Trailing Stop (N-Stop) and a Multi-Timeframe (MTF) status overview. The script was developed in Pine Script v6 and is optimized for performance and robustness.📊 Core Logic and ParametersThe indicator is based on the rule-based trend-following system developed by Richard Dennis and William Eckhardt, utilizing the more aggressive Entry/Exit parameters of System 2:FunctionParameterValueDescriptionEntry$\text{Donchian Breakout}$$\mathbf{55}$Buy/Sell upon breaking the 55-day High/Low.Exit (Turtle)$\text{Donchian Breakout}$$\mathbf{20}$Close the position upon breaking the 20-day Low/High.Volatility$\mathbf{N}$ (ATR Period)$\mathbf{20}$Calculation of market volatility using the Average True Range (ATR).Stop-LossMultiplier$\mathbf{2.0} BER:SETS the initial and Trailing Stop at $\mathbf{2N}$.🛠️ Technical Implementation1. Correct Trailing Stop (Section 4)In contrast to many flawed implementations, the Trailing Stop is implemented here according to the Original Turtle Logic. The stop price (current_stop_price) is not aggressively tied to the current low or high. Instead, at the close of each bar, it is only trailed in the direction of the trade (math.max for long positions) based on the formula:$$\text{New Trailing Stop} = \text{max}(\text{Previous Stop}, \text{Close} \pm (2 \times N))$$This ensures the stop is only adjusted upon sustained positive movement and is not prematurely triggered by short-term, deep price shadows.2. Reliable Multi-Timeframe (MTF) Logic (Section 6)The MTF section utilizes global var int variables (mtf_status_1h, mtf_status_D, etc.) in conjunction with the request.security() function.Purpose: Calculates and persistently stores the current Turtle System 2 status (LONG=1, SHORT=-1, FLAT=0) for the timeframes 1H, 4H, 8H, 1D, and 1W.Advantage: By persistently storing the status using the var variables, the critical error of single-update status is eliminated. The states shown in the table are reliable and accurately reflect the Turtle System's position status on the respective timeframes.3. Visual ComponentsDonchian Channels: The entry (55-period) and exit (20-period) channels are drawn with color highlighting.N-Stop Line: The dynamically calculated Trailing Stop ($\mathbf{2N}$) is displayed as a magenta line.Visual Signals: plotshape markers indicate Entry and Exit points.MTF Table: A compact status summary with color coding (Green/Red/Gray) for the higher timeframes is displayed in the upper right corner.
Pine Script® 인디케이터
Semtex76의