Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Bandas e Canais
Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
Faytterro Bands Breakout📌 Faytterro Bands Breakout 📌
This indicator was created as a strategy showcase for another script: Faytterro Bands
It’s meant to demonstrate a simple breakout strategy based on Faytterro Bands logic and includes performance tracking.
❓ What Is It?
This script is a visual breakout strategy based on a custom moving average and dynamic deviation bands, similar in concept to Bollinger Bands but with unique smoothing (centered regression) and performance features.
🔍 What Does It Do?
Detects breakouts above or below the Faytterro Band.
Plots visual trade entries and exits.
Labels each trade with percentage return.
Draws profit/loss lines for every trade.
Shows cumulative performance (compounded return).
Displays key metrics in the top-right corner:
Total Return
Win Rate
Total Trades
Number of Wins / Losses
🛠 How Does It Work?
Bullish Breakout: When price crosses above the upper band and stays above the midline.
Bearish Breakout: When price crosses below the lower band and stays below the midline.
Each trade is held until breakout invalidation, not a fixed TP/SL.
Trades are compounded, i.e., profits stack up realistically over time.
📈 Best Use Cases:
For traders who want to experiment with breakout strategies.
For visual learners who want to study past breakouts with performance metrics.
As a template to develop your own logic on top of Faytterro Bands.
⚠ Notes:
This is a strategy-like visual indicator, not an automated backtest.
It doesn't use strategy.* commands, so you can still use alerts and visuals.
You can tweak the logic to create your own backtest-ready strategy.
Unlike the original Faytterro Bands, this script does not repaint and is fully stable on closed candles.
FULLY FUNCTIONAL INDICATOR TESTER🎯 Purpose:
A comprehensive strategy testing framework designed to evaluate custom indicators and trading signals with professional-grade risk management and signal detection capabilities.
✨ Key Features:
Multiple Signal Detection Methods - Value changes, crossovers, threshold-based triggers
Advanced Confluence Filtering - Multi-source confirmation system with lookback periods
Professional Risk Management - Static TP/SL, break-even functionality, position sizing
Custom Exit Signals - Independent exit logic for refined strategy testing
Visual Feedback System - Clear signal plots and real-time status monitoring
Flexible Input Sources - Connect any custom indicator or built-in study
🔧 How to Use:
Connect your indicator outputs to the Entry/Exit source inputs
Select appropriate signal detection method for your indicator type
Configure risk parameters (TP/SL/Break-even)
Enable confluence filters if needed for additional confirmation
Backtest and analyze results with built-in performance metrics
📈 Signal Detection Options:
Value Change: Detects when indicator values change
Crossover Above/Below: Traditional crossover signals
Threshold Triggers: Value-based entry/exit levels
⚙️ Technical Specifications:
Compatible with Pine Script v6
Overlay strategy with position tracking
Real-time performance monitoring table
Configurable margin requirements
Full backtesting compatibility
⚠️ Important Notes:
This is a testing framework - not financial advice
Always validate signals in demo environment first
Past performance does not guarantee future results
Use proper risk management in live trading
🔄 Updates:
Enhanced signal detection algorithms
Improved confluence logic
Added break-even functionality
Visual debugging tools
Perfect for traders and developers looking to systematically tes
Whale Volume Alerti am oublishtion for my own
so dont use it
it was made thrugh dont now
i have made it
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6
indicator("Momentum SNR VIP ", overlay=true)
// === Settings ===
pip = input.float(0.0001, "Pip Size", step=0.0001)
sl_pip = 50 * pip
tp1_pip = 40 * pip
tp2_pip = 70 * pip
tp3_pip = 100 * pip
lookback = input.int(20, "Lookback for S/R", minval=5)
// === SNR ===
pivotHigh = ta.pivothigh(high, lookback, lookback)
pivotLow = ta.pivotlow(low, lookback, lookback)
supportZone = not na(pivotLow)
resistanceZone = not na(pivotHigh)
plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny)
plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny)
// === Price Action ===
bullishEngulfing = close < open and close > open and close > open and open <= close
bearishEngulfing = close > open and close < open and close < open and open >= close
bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open)
bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open)
buySignal = supportZone and (bullishEngulfing or bullishPinBar)
sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar)
// === SL & TP ===
rawBuySL = low - 10 * pip
buySL = math.max(close - sl_pip, rawBuySL)
buyTP1 = close + tp1_pip
buyTP2 = close + tp2_pip
buyTP3 = close + tp3_pip
rawSellSL = high + 10 * pip
sellSL = math.min(close + sl_pip, rawSellSL)
sellTP1 = close - tp1_pip
sellTP2 = close - tp2_pip
sellTP3 = close - tp3_pip
// === Plot Lines ===
plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_line, linewidth=1)
plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_line, linewidth=1)
plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_line, linewidth=1)
plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_line, linewidth=1)
plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_line, linewidth=1)
plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_line, linewidth=1)
plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_line, linewidth=1)
plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_line, linewidth=1)
// === Floating Labels on Right Side ===
if buySignal
label.new(x=bar_index + 50, y=buySL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white)
label.new(x=bar_index + 50, y=buyTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white)
label.new(x=bar_index + 50, y=buyTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white)
label.new(x=bar_index + 50, y=buyTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white)
if sellSignal
label.new(x=bar_index + 50, y=sellSL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white)
label.new(x=bar_index + 50, y=sellTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white)
label.new(x=bar_index + 50, y=sellTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white)
label.new(x=bar_index + 50, y=sellTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white)
// === Signal Markers ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === Alerts ===
alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action")
alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself.
You choose three settings:
• Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars.
• Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier.
• Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility.
When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually.
You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually.
This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen.
If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars.
Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context.
In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information.
If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Momentum SNR VIP (Step 2)//@version=6
indicator("Momentum SNR VIP (Step 2)", overlay=true)
// === Inputs ===
lookback = input.int(20, "Lookback for S/R", minval=5)
rr_ratio = input.float(2.0, "Risk-Reward Ratio", minval=0.5, step=0.1)
plot(close, color=color.orange)
CCI Trading SystemCCI Trading System with Signal Bar Coloring
Overview
This indicator combines the classic Commodity Channel Index (CCI) oscillator with visual signal detection and bar coloring to help traders identify potential momentum shifts and trading opportunities.
Features
CCI Oscillator Display: Shows CCI values in a separate pane with customizable period length
Adjustable Thresholds: User-defined buy and sell levels (default: -100 buy, +100 sell)
Visual Signal Detection: Triangle markers indicate crossover points
Bar Coloring: Highlights only the bars where actual buy/sell signals occur
Zone Highlighting: Background colors show overbought/oversold conditions
Real-time Information Table: Displays current CCI value, thresholds, and signal status
Built-in Alerts: Notification system for signal generation
How It Works
The indicator generates signals based on CCI threshold crossovers:
Buy Signal: Triggered when CCI crosses above the buy threshold (lime bar coloring)
Sell Signal: Triggered when CCI crosses below the sell threshold (red bar coloring)
Input Parameters
CCI Length: Period for CCI calculation (default: 20)
Buy Threshold: Level for buy signal generation (default: -100)
Sell Threshold: Level for sell signal generation (default: +100)
Enable Bar Coloring: Toggle for chart bar coloring
Show Signals: Toggle for signal markers
Usage Guidelines
Adjust thresholds based on your trading timeframe and volatility preferences
Use in conjunction with other technical analysis tools for confirmation
Consider market context and trend direction when interpreting signals
The -200/+200 levels serve as additional reference points for extreme conditions
Educational Purpose
This indicator is designed for educational and analysis purposes. It demonstrates how CCI can be used to identify potential momentum shifts in price action. The visual elements help traders understand the relationship between CCI values and price movements.
Risk Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Past performance does not indicate future results. Always conduct your own analysis and consider risk management principles. Trading involves substantial risk of loss and is not suitable for all investors.
Technical Notes
Uses Pine Script v5
Plots CCI with standard deviation-based calculation
Includes crossover/crossunder functions for signal generation
Features conditional bar coloring for signal visualization
Incorporates alert conditions for automated notifications
This script is open source and available for modification and educational use.
Bollinger Bands ±2σ & ±3σBollinger Band 2 & 3 standard deviation, clubbed together, so that you can take trade on BKP & BKT.
// This Pine Script plots Bollinger Bands with both ±2σ and ±3σ levels for enhanced volatility analysis.
// Users can customize the moving average type, length, and standard deviation multipliers directly in the settings.
// The indicator overlays a shaded ±2σ region and semi-transparent ±3σ bands to highlight extreme price movements.
LinearRegfressionL'indicatore fornisce una semplice regressione lineare dei valori High, Low, Open, Close
AMOGH SMC 1Smart Money Concept (SMC) Indicator market structure ke powerful elements jaise Break of Structure (BOS), Change of Character (CHoCH), liquidity zones, aur Fair Value Gaps (FVG) ko identify karta hai. Is indicator ka purpose hai institutional price movements ko track karna—jahaan large players apna entry ya exit plan karte hain. Traditional indicators ke mukable SMC ek zyada refined aur logic-driven approach deta hai jisme market ka intent samajhna asaan hota hai. Ye tool traders ko trending aur consolidating market conditions me structure-based signals provide karta hai, jisse trade execution aur risk management aur effective ho jata hai. FVGs un zones ko highlight karte hain jahan price imbalance hota hai, aur CHoCH/BOS se market ka directional bias confirm hota hai. Jo traders price action aur institutional footprint pe kaam karte hain, unke liye ye indicator ek must-have resource hai. Iska design clean, customizable aur real-time plotting ke saath optimized hai.
My Script v6SMA Calculation: Computes a Simple Moving Average of the selected input source (default is the closing price) over a user-defined period (Length, default 14).
Buy Signal: Displays a green "BUY" label below the bar when the price crosses above the SMA (bullish crossover).
Sell Signal: Displays a red "SELL" label above the bar when the price crosses below the SMA (bearish crossunder).
Overlay Enabled: The indicator is drawn directly on the price chart (overlay=true).
Momentum SNR VIP [INDICATOR ONLY]//@version=6
indicator("Momentum SNR VIP ", overlay=true)
// === Inputs ===
lookback = input.int(20, "Lookback for S/R", minval=5)
rr_ratio = input.float(2.0, "Risk-Reward Ratio", minval=0.5, step=0.1)
// === SNR Detection ===
pivotHigh = ta.pivothigh(high, lookback, lookback)
pivotLow = ta.pivotlow(low, lookback, lookback)
supportZone = not na(pivotLow)
resistanceZone = not na(pivotHigh)
plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny)
plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny)
// === Price Action ===
bullishEngulfing = close < open and close > open and close > open and open <= close
bearishEngulfing = close > open and close < open and close < open and open >= close
bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open)
bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open)
buySignal = supportZone and (bullishEngulfing or bullishPinBar)
sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar)
// === SL & TP ===
buySL = low - 10
buyTP = close + (close - buySL) * rr_ratio
sellSL = high + 10
sellTP = close - (sellSL - close) * rr_ratio
// === Plot Signals
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1)
plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1)
plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1)
plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1)
// === Labels (Fixed)
if buySignal
label.new(x=bar_index, y=buySL, text="SL : " + str.tostring(buySL, "#.00"), style=label.style_label_down, color=color.red, textcolor=color.white)
label.new(x=bar_index, y=buyTP, text="TP 1 : " + str.tostring(buyTP, "#.00"), style=label.style_label_up, color=color.green, textcolor=color.white)
if sellSignal
label.new(x=bar_index, y=sellSL, text="SL : " + str.tostring(sellSL, "#.00"), style=label.style_label_up, color=color.red, textcolor=color.white)
label.new(x=bar_index, y=sellTP, text="TP 1 : " + str.tostring(sellTP, "#.00"), style=label.style_label_down, color=color.green, textcolor=color.white)
// === Alerts
alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action")
alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
EMA Shadow Trading_TixThis TradingView indicator, named "EMA Shadow Trading_Tix", combines Exponential Moving Averages (EMAs) with VWAP (Volume-Weighted Average Price) and a shadow fill between EMAs to help traders identify trends, momentum, and potential reversal zones. Below is a breakdown of its key functions:
1. EMA (Exponential Moving Average) Settings
The indicator allows customization of four EMAs with different lengths and colors:
EMA 1 (Default: 9, Green) – Short-term trend filter.
EMA 2 (Default: 21, Red) – Medium-term trend filter.
EMA 3 (Default: 50, Blue) – Mid-to-long-term trend filter.
EMA 4 (Default: 200, Orange) – Long-term trend filter (often used as a "bull/bear market" indicator).
Key Features:
Global EMA Source: All EMAs use the same source (default: close), ensuring consistency.
Toggle Visibility: Each EMA can be independently shown/hidden.
Precision Calculation: EMAs are rounded to the minimum tick size for accuracy.
Customizable Colors & Widths: Helps in distinguishing different EMAs easily.
How Traders Use EMAs:
Trend Identification:
If price is above all EMAs, the trend is bullish.
If price is below all EMAs, the trend is bearish.
Crossovers:
A shorter EMA crossing above a longer EMA (e.g., EMA 9 > EMA 21) suggests bullish momentum.
A shorter EMA crossing below a longer EMA (e.g., EMA 9 < EMA 21) suggests bearish momentum.
Dynamic Support/Resistance:
EMAs often act as support in uptrends and resistance in downtrends.
2. Shadow Fill Between EMA 1 & EMA 2
The indicator includes a colored fill (shadow) between EMA 1 (9-period) and EMA 2 (21-period) to enhance trend visualization.
How It Works:
Bullish Shadow (Green): Applies when EMA 1 > EMA 2, indicating a bullish trend.
Bearish Shadow (Red): Applies when EMA 1 < EMA 2, indicating a bearish trend.
Why It’s Useful:
Trend Confirmation: The shadow helps traders quickly assess whether the short-term trend is bullish or bearish.
Visual Clarity: The fill makes it easier to spot EMA crossovers and trend shifts.
3. VWAP (Volume-Weighted Average Price) Integration
The indicator includes an optional VWAP overlay, which is useful for intraday traders.
Key Features:
Customizable Anchor Periods: Options include Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits.
Hide on Higher Timeframes: Can be disabled on 1D or higher charts to avoid clutter.
Adjustable Color & Width: Default is purple, but users can change it.
How Traders Use VWAP:
Mean Reversion: Price tends to revert to VWAP.
Trend Confirmation:
Price above VWAP = Bullish bias.
Price below VWAP = Bearish bias.
Breakout/Rejection Signals: Strong moves away from VWAP may indicate continuation or exhaustion.
4. Practical Trading Applications
Trend-Following Strategy:
Long Entry: Price above all EMAs + EMA 1 > EMA 2 (green shadow). Optional: Price above VWAP for intraday trades.
Short Entry: Price below all EMAs + EMA 1 < EMA 2 (red shadow). Optional: Price below VWAP for intraday trades.
Mean Reversion Strategy:
Pullback to EMA 9/21/VWAP: Look for bounces near EMAs or VWAP in a strong trend.
Multi-Timeframe Confirmation:
Higher timeframe EMAs (50, 200) can be used to filter trades (e.g., only trade longs if price is above EMA 200).
Conclusion
This EMA Shadow Trading Indicator is a versatile tool that combines:
✔ Multiple EMAs for trend analysis
✔ Shadow fill for quick trend visualization
✔ VWAP integration for intraday trading
It is useful for swing traders, day traders, and investors looking for trend confirmation, momentum shifts, and dynamic support/resistance levels.
💼 Momentum SNR VIP//@version=5
indicator("Momentum", overlay=true)
// === SNR Detection ===
lookback = input.int(20, "Lookback for S/R", minval=5)
pivotHigh = ta.pivothigh(high, lookback, lookback)
pivotLow = ta.pivotlow(low, lookback, lookback)
// Plot SNR Zones
plotshape(pivotHigh, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
plotshape(pivotLow, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.small)
// === Price Action Detection ===
// Bullish Engulfing
bullishEngulfing = close < open and close > open and close > open and open <= close
// Bearish Engulfing
bearishEngulfing = close > open and close < open and close < open and open >= close
// Pin Bar Bullish
bullishPinBar = close > open and (low - math.min(open, close)) > 1.5 * (math.abs(close - open))
// Pin Bar Bearish
bearishPinBar = close < open and (math.max(open, close) - high) > 1.5 * (math.abs(close - open))
// === Combined Signal at SNR ===
supportZone = not na(pivotLow)
resistanceZone = not na(pivotHigh)
buySignal = (bullishEngulfing or bullishPinBar) and supportZone
sellSignal = (bearishEngulfing or bearishPinBar) and resistanceZone
// Plot Buy/Sell Arrows
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === SL & TP Calculation ===
rr_ratio = input.float(2.0, "Risk Reward Ratio", minval=0.5, step=0.5)
buySL = low
buyTP = close + (close - low) * rr_ratio
sellSL = high
sellTP = close - (high - close) * rr_ratio
plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_linebr, linewidth=1)
plot(buySignal ? buyTP : na, title="Buy TP", color=color.green, style=plot.style_linebr, linewidth=1)
plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_linebr, linewidth=1)
plot(sellSignal ? sellTP : na, title="Sell TP", color=color.green, style=plot.style_linebr, linewidth=1)
// === Alerts ===
alertcondition(buySignal, title="Buy Alert", message="GOLD: Potential BUY @ SNR Zone + Price Action")
alertcondition(sellSignal, title="Sell Alert", message="GOLD: Potential SELL @ SNR Zone + Price Action")
Multi-Tool Indicator v6This is a versatile technical analysis tool designed to help traders quickly assess market trends and momentum. It combines a customizable Moving Average (MA) with Relative Strength Index (RSI) signals to highlight key market conditions directly on the chart.
🔧 Key Features:
Configurable Moving Average (MA):
Supports SMA (Simple Moving Average) and EMA (Exponential Moving Average).
User-defined length to match your strategy.
Plotted directly on the price chart for trend tracking.
RSI-Based Signal Detection:
Uses RSI to detect overbought (above 70) and oversold (below 30) conditions.
Plots red/green triangle shapes above/below bars when these conditions occur.
Background Highlighting:
Changes chart background to red when overbought and green when oversold to improve visual clarity.
Alerts for Key RSI Events:
Alerts can be triggered when RSI enters overbought or oversold zones.
Useful for automated strategy notifications.
MA Value Labels:
A label shows the current value of the MA near the most recent bar.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
NEXGEN ADXNEXGEN ADX
NEXGEN ADX – Advanced Trend Strength & Directional Indicator
Purpose:
The NEXGEN ADX is a powerful trend analysis tool developed by NexGen Trading Academy to help traders identify the strength and direction of market trends with precision. Based on the Average Directional Index (ADX) along with +DI (Positive Directional Indicator) and –DI (Negative Directional Indicator), this custom indicator provides a reliable foundation for both trend-following strategies and trend reversal setups.
Dynamic ATR Label//@version=5
indicator("Dynamic ATR Label", overlay=true)
// User definable ATR parameters
atrLength = input.int(14, "ATR Length", minval=1)
priceSource = input.source(close, "Price Source")
// Calculate ATR
atrValue = ta.atr(atrLength)
// Calculate ATR in percentage
atrPercent = (atrValue / priceSource) * 100
// Format the ATR percentage for display
atrText = "ATR: " + str.tostring(atrPercent, "#.##") + "%"
// Create or update the label
var label atrLabel = na
if na(atrLabel)
// Create the label on the first bar
atrLabel := label.new(x=bar_index, y=high, text=atrText,
xloc=xloc.bar_index, yloc=yloc.price, // Define how x and y are interpreted
style=label.style_label_down, color=color.blue,
textcolor=color.white, size=size.normal)
else
// Update the label's position and text on subsequent bars
label.set_xy(atrLabel, x=bar_index, y=high) // Only update x and y coordinates
label.set_text(atrLabel, atrText)
