Trader Marks Trailing SL + TP (BE @ 60%)This script provides a unique stop-loss and take-profit management tool designed for swing traders.
It introduces a two-stage stop-loss logic that is not available in standard TradingView tools:
Break-Even Protection: Once a defined profit threshold (e.g. 66%) is reached, the stop-loss automatically moves to break-even.
ATR-Based Trailing Stop: After a chosen delay (e.g. 12 hours), the script activates a dynamic trailing stop that follows market volatility using the ATR.
Flexible Ratchet Mechanism: The stop-loss can be locked at new profit levels and will never move backwards.
This combination allows traders to secure profits while still giving the trade room to develop. The indicator is especially useful for swing trading on 4H and daily timeframes but can be applied to other styles as well.
How to use:
Enter your entry price, stop-loss, and take-profit levels.
Choose your trailing mode: Exact S/L+ (simple) or Advanced (Delay + BE + Ratchet).
Adjust parameters such as ATR length or activation delay to match your strategy.
The script helps you balance risk and reward by ensuring that once the trade moves in your favor, you cannot lose the initial risk, while still benefiting from extended market moves.
רצועות וערוצים
Bollinger Bands (Log Scale)📈 Bollinger Bands on log scale are broken.
Many traders use log charts for better price symmetry—but still apply Bollinger Bands calculated on linear price. That mismatch creates distorted signals.
Here’s what I found:
- Standard deviation becomes misleading on log scale
- Band width no longer reflects true volatility
- Breakout signals lose behavioral clarity
🛠 So I rewrote the logic.
My version calculates Bollinger Bands using log(price) for both mean and deviation, then maps the result back to price. It behaves correctly on log charts and aligns better with behavioral scoring.
EMA & HMA with ShadingA simple indicator you can use to shade the area between an EMA and HMA for easier visualization. Hope you find it useful in your trading.
Advanced MA Slope Tool(by ExpertCBCD)New version of MA Slope, originally made by ExpertCBCD.Now you can choose many indicators then compare and confirm their slope. Thanks for ExpertCBCD, hope you can use it like the bow of Robinhood to defeat big banks and take money in the market.
WaveMacBollI wanted to see the two indicators in the candle chart, not in a separate window. And within the Bollinger band, it seemed to put it fine.
Important Note on Line Styles
Due to TradingView's multi-timeframe environment restrictions (timeframe = '', timeframe_gaps = true), I couldn't implement dotted or dashed line styles programmatically. The indicator uses solid lines by default.
If you prefer dotted/dashed lines for better visual distinction:
Add the indicator to your chart
Click on the indicator settings (gear icon)
Go to "Style" tab
Manually change line styles for each plot
Unfortunately, PineScript doesn't support line.new() or similar drawing functions in multi-timeframe mode, limiting our styling options to basic plot styles.
If you know a good solution for implementing dotted/dashed lines in multi-timeframe indicators without using drawing objects, please share it in the comments! I'd love to improve this aspect of the indicator
MACD Josh MACD Study — Visual Crossover Tags
Overview:
This script displays MACD signals in a clear, visual way by showing:
Histogram = EMA(Fast) − EMA(Slow)
Signal = EMA(Histogram, Signal Length)
It adds labels and arrows to help you see crossover events between the Histogram and the Signal line more easily.
⚠️ Disclaimer: This tool is for educational and research purposes only. It is not financial advice or an investment recommendation. Past performance does not guarantee future results. Users should make their own decisions and manage risk responsibly.
Features
Central Zero Line with Signal and Histogram plots
Optional labels/arrows to highlight Histogram–Signal crossovers
Alerts for crossover and crossunder events, integrated with TradingView’s alert system
Standard adjustable inputs: Fast EMA, Slow EMA, Signal EMA
How to Interpret (for study only)
When the Histogram crosses above the Signal, a visual label/arrow marks a positive MACD event
When the Histogram crosses below the Signal, a visual label/arrow marks a negative MACD event
The “BUY/SELL” labels are visual study tags only — they do not represent trade instructions or recommendations
Responsible Usage Tips
Test across multiple timeframes and different assets
Combine with higher-timeframe trend, support/resistance, or volume for confirmation
Use alerts with caution, and always test in a demo environment first
Technical Notes
The script does not use future data and does not repaint signals once bars are closed
Results depend on market conditions and may vary across assets and timeframes
License & Credits
Written in Pine Script® v5 for TradingView
The indicator name shown on chart is for labeling purposes only and carries no implication of advice or solicitation
Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO)
📊 Description
The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts.
Key Features:
Original Chande Momentum Oscillator calculation
Dynamic upper and lower boundaries based on statistical analysis
Adaptive envelope that adjusts to market volatility
Visual fill area between boundaries for easy interpretation
Real-time values table with current readings
Built-in alert conditions for boundary touches
Customizable moving average types (SMA, EMA, WMA)
⚙️ Settings
CMO Settings:
CMO Length (9): Period for calculating the base Chande Momentum Oscillator
Source (close): Price source for calculations
Envelope Settings:
Envelope Length (20): Lookback period for calculating the moving average and standard deviation
Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds
Moving Average Type (EMA): Type of moving average for envelope calculation
📈 How to Use
Visual Elements
Lines:
White Line: Main Chande Momentum Oscillator
Red Line: Upper boundary (resistance level)
Green Line: Lower boundary (support level)
Yellow Line: Moving average of CMO (trend direction)
Purple Fill: Visual envelope between boundaries
Reference Lines:
Zero Line: Neutral momentum level
+50/-50 Lines: Traditional overbought/oversold levels
Trading Signals
🔴 Sell/Short Signals
CMO touches or crosses above upper boundary → Potential bearish reversal
CMO is above +50 and declining → Weakening bullish momentum
CMO crosses below yellow MA line while above zero → Momentum shift
🟢 Buy/Long Signals
CMO touches or crosses below lower boundary → Potential bullish reversal
CMO is below -50 and rising → Weakening bearish momentum
CMO crosses above yellow MA line while below zero → Momentum shift
⚡ Advanced Signals
Boundary contraction → Decreasing volatility, potential breakout coming
Boundary expansion → High volatility period, use wider stops
CMO hugging upper boundary → Strong uptrend continuation
CMO hugging lower boundary → Strong downtrend continuation
🎯 Trading Strategies
Strategy 1: Reversal Trading
Wait for CMO to touch extreme boundaries (red or green lines)
Look for divergence with price action
Enter counter-trend position when CMO starts moving back toward center
Set stop beyond the boundary breach point
Take profit near zero line or opposite boundary
Strategy 2: Momentum Confirmation
Use CMO direction to confirm trend
Enter positions when CMO crosses above/below yellow MA line
Hold positions while CMO remains on the correct side of MA
Exit when CMO crosses back through MA line
Strategy 3: Volatility Breakout
Monitor boundary width (envelope expansion/contraction)
When boundaries contract significantly, prepare for breakout
Enter in direction of CMO breakout from narrow range
Use boundary expansion as confirmation signal
⚠️ Important Notes
Best Timeframes
Scalping: 1m, 5m charts
Day Trading: 15m, 30m, 1H charts
Swing Trading: 4H, Daily charts
Market Conditions
Trending Markets: Focus on momentum confirmation signals
Ranging Markets: Focus on boundary reversal signals
High Volatility: Increase envelope multiplier (1.8-2.5)
Low Volatility: Decrease envelope multiplier (1.0-1.3)
Risk Management
Always use stop losses beyond boundary levels
Reduce position size during boundary expansion periods
Combine with price action and support/resistance levels
Monitor the real-time table for precise entry/exit levels
🔔 Alerts
The indicator includes built-in alert conditions:
"CMO Above Upper Bound": Potential reversal down signal
"CMO Below Lower Bound": Potential reversal up signal
Set these alerts to catch opportunities without constantly monitoring charts.
💡 Tips for Success
Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation
Watch for divergences: CMO making new highs/lows while price doesn't follow
Use multiple timeframes: Check higher timeframe CMO for overall trend context
Adjust settings for different assets: Crypto may need different settings than forex
Paper trade first: Test the indicator with your trading style before using real money
🎨 Customization Tips
Change colors in the Pine Script to match your chart theme
Adjust envelope length for faster (shorter) or slower (longer) signals
Modify envelope multiplier based on asset volatility
Hide the table if it obstructs your view by commenting out the table section
Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals.
Together they create a powerful confluence system for professional trading setups.
MACD COM PONTOS//@version=5
indicator(title="MACD COM PONTOS", shorttitle="MACD COM PONTOS")
//Plot Inputs
res = input.timeframe("", "Indicator TimeFrame")
fast_length = input.int(title="Fast Length", defval=12)
slow_length = input.int(title="Slow Length", defval=26)
src = input.source(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 999, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Show Plots T/F
show_macd = input.bool(true, title="Show MACD Lines", group="Show Plots?", inline="SP10")
show_macd_LW = input.int(3, minval=0, maxval=5, title = "MACD Width", group="Show Plots?", inline="SP11")
show_signal_LW= input.int(2, minval=0, maxval=5, title = "Signal Width", group="Show Plots?", inline="SP11")
show_Hist = input.bool(true, title="Show Histogram", group="Show Plots?", inline="SP20")
show_hist_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP20")
show_trend = input.bool(true, title = "Show MACD Lines w/ Trend Color", group="Show Plots?", inline="SP30")
show_HB = input.bool(false, title="Show Highlight Price Bars", group="Show Plots?", inline="SP40")
show_cross = input.bool(false, title = "Show BackGround on Cross", group="Show Plots?", inline="SP50")
show_dots = input.bool(true, title = "Show Circle on Cross", group="Show Plots?", inline="SP60")
show_dots_LW = input.int(5, minval=0, maxval=5, title = "-- Width", group="Show Plots?", inline="SP60")
//show_trend = input(true, title = "Colors MACD Lines w/ Trend Color", group="Show Plots?", inline="SP5")
// MACD Lines colors
col_macd = input.color(#FF6D00, "MACD Line ", group="Color Settings", inline="CS1")
col_signal = input.color(#2962FF, "Signal Line ", group="Color Settings", inline="CS1")
col_trnd_Up = input.color(#4BAF4F, "Trend Up ", group="Color Settings", inline="CS2")
col_trnd_Dn = input.color(#B71D1C, "Trend Down ", group="Color Settings", inline="CS2")
// Histogram Colors
col_grow_above = input.color(#26A69A, "Above Grow", group="Histogram Colors", inline="Hist10")
col_fall_above = input.color(#B2DFDB, "Fall", group="Histogram Colors", inline="Hist10")
col_grow_below = input.color(#FF5252, "Below Grow", group="Histogram Colors",inline="Hist20")
col_fall_below = input.color(#FFCDD2, "Fall", group="Histogram Colors", inline="Hist20")
// Alerts T/F Inputs
alert_Long = input.bool(true, title = "MACD Cross Up", group = "Alerts", inline="Alert10")
alert_Short = input.bool(true, title = "MACD Cross Dn", group = "Alerts", inline="Alert10")
alert_Long_A = input.bool(false, title = "MACD Cross Up & > 0", group = "Alerts", inline="Alert20")
alert_Short_B = input.bool(false, title = "MACD Cross Dn & < 0", group = "Alerts", inline="Alert20")
// Calculating
fast_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length))
slow_ma = request.security(syminfo.tickerid, res, sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length))
macd = fast_ma - slow_ma
signal = request.security(syminfo.tickerid, res, sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length))
hist = macd - signal
// MACD Trend and Cross Up/Down conditions
trend_up = macd > signal
trend_dn = macd < signal
cross_UP = signal >= macd and signal < macd
cross_DN = signal <= macd and signal > macd
cross_UP_A = (signal >= macd and signal < macd) and macd > 0
cross_DN_B = (signal <= macd and signal > macd) and macd < 0
// Condition that changes Color of MACD Line if Show Trend is turned on..
trend_col = show_trend and trend_up ? col_trnd_Up : trend_up ? col_macd : show_trend and trend_dn ? col_trnd_Dn: trend_dn ? col_macd : na
//Var Statements for Histogram Color Change
var bool histA_IsUp = false
var bool histA_IsDown = false
var bool histB_IsDown = false
var bool histB_IsUp = false
histA_IsUp := hist == hist ? histA_IsUp : hist > hist and hist > 0
histA_IsDown := hist == hist ? histA_IsDown : hist < hist and hist > 0
histB_IsDown := hist == hist ? histB_IsDown : hist < hist and hist <= 0
histB_IsUp := hist == hist ? histB_IsUp : hist > hist and hist <= 0
hist_col = histA_IsUp ? col_grow_above : histA_IsDown ? col_fall_above : histB_IsDown ? col_grow_below : histB_IsUp ? col_fall_below :color.silver
// Plot Statements
//Background Color
bgcolor(show_cross and cross_UP ? col_trnd_Up : na, editable=false)
bgcolor(show_cross and cross_DN ? col_trnd_Dn : na, editable=false)
//Highlight Price Bars
barcolor(show_HB and trend_up ? col_trnd_Up : na, title="Trend Up", offset = 0, editable=false)
barcolor(show_HB and trend_dn ? col_trnd_Dn : na, title="Trend Dn", offset = 0, editable=false)
//Regular Plots
plot(show_Hist and hist ? hist : na, title="Histogram", style=plot.style_columns, color=color.new(hist_col ,0),linewidth=show_hist_LW)
plot(show_macd and signal ? signal : na, title="Signal", color=color.new(col_signal, 0), style=plot.style_line ,linewidth=show_signal_LW)
plot(show_macd and macd ? macd : na, title="MACD", color=color.new(trend_col, 0), style=plot.style_line ,linewidth=show_macd_LW)
hline(0, title="0 Line", color=color.new(color.gray, 0), linestyle=hline.style_dashed, linewidth=1, editable=false)
plot(show_dots and cross_UP ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
plot(show_dots and cross_DN ? macd : na, title="Dots", color=color.new(trend_col ,0), style=plot.style_circles, linewidth=show_dots_LW, editable=false)
//Alerts
if alert_Long and cross_UP
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short and cross_DN
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD Crosses Down.", alert.freq_once_per_bar_close)
//Alerts - Stricter Condition - Only Alerts When MACD Crosses UP & MACD > 0 -- Crosses Down & MACD < 0
if alert_Long_A and cross_UP_A
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD > 0 And Crosses Up.", alert.freq_once_per_bar_close)
if alert_Short_B and cross_DN_B
alert("Symbol = (" + syminfo.tickerid + ") TimeFrame = (" + timeframe.period + ") Current Price (" + str.tostring(close) + ") MACD < 0 And Crosses Down.", alert.freq_once_per_bar_close)
//End Code
JDB MA Breakout IndicatorAll credit goes to JDB_Trading . Follow on X.
This indicator visualises one of his strategies.
1. Detecting the dominant moving average.
2. Price is supposed to be at least 70 candles below it for buy signals/40 above for sells.
3. detects break on dominant MA + BB 20,2.
4. Used on W & M timeframes.
5. alerts possible.
Premier Stochastic Oscillator [LazyBear, V2]This script builds on the well-known Premier Stochastic Oscillator (PSO) originally introduced by LazyBear, and adds a Z-Score extension to provide statistical interpretation of momentum extremes.
Features
Premier Stochastic Core: A smoothed stochastic calculation that highlights bullish and bearish momentum phases.
Z-Score Mapping: The PSO values are standardized into Z-Scores (from –3 to +3), quantifying the degree of momentum stretch.
Positive / Negative Z-Scores:
Positive Z values suggest momentum strength that can align with accumulation or favorable buying conditions.
Negative Z values indicate stronger bearish pressure, often aligning with selling or distribution conditions.
On-Chart Label: The current Z-Score is displayed on the latest bar for quick reference.
How to Use
Momentum Confirmation: Use the oscillator to confirm whether bullish or bearish momentum is intensifying.
Overextended Conditions: Extreme Z-Scores (±2 or beyond) highlight statistically stretched conditions, often preceding reversions.
Strategic Integration: Best applied in confluence with trend tools or higher-timeframe filters; not a standalone trading signal.
Originality
Unlike the standard PSO, this version:
Adds a Z-Score framework for objective statistical scaling.
Provides real-time labeling of Z values for clarity.
Extends the classic oscillator into a tool for both momentum detection and mean-reversion context.
350DMA bands + Z-score (V2)This script extends the classic 350-day moving average (350DMA) by building dynamic valuation bands and a Z-Score framework to evaluate how far price deviates from its long-term mean.
Features
350DMA Anchor: Uses the 350-day simple moving average as the baseline reference.
Fixed Multipliers: Key bands plotted at ×0.625, ×1.0, ×1.6, ×2.0, and ×2.5 of the 350DMA — historically significant levels for cycle analysis.
Z-Score Mapping: Price is converted into a Z-Score on a scale from +2 (deep undervaluation) to –2 (extreme overvaluation), using log-space interpolation for accuracy.
Custom Display: HUD panel and on-chart label show the current Z-Score in real time.
Clamp Option: Users can toggle between raw Z values or capped values (±2).
How to Use
Valuation Context: The 350DMA is often considered a “fair value” anchor; large deviations identify cycles of under- or over-valuation.
Z-Score Insight:
Positive Z values suggest favorable accumulation zones where price is below long-term average.
Negative Z values highlight zones of stretched valuation, often associated with distribution or profit-taking.
Strategic Application: This is not a standalone trading system — it works best in confluence with other indicators, cycle models, or macro analysis.
Originality
Unlike a simple DMA overlay, this script:
Provides multiple cycle-based bands derived from the 350DMA.
Applies a logarithmic Z-Score mapping for more precise long-term scaling.
Adds an integrated HUD and labeling system for quick interpretation.
Yearly VWAP with Z-Score V2This script extends the traditional Volume Weighted Average Price (VWAP) by applying it to yearly sessions (with a customizable start month) and combining it with a Z-Score framework to standardize price deviations from VWAP.
Features
Yearly VWAP: Automatically resets at the selected month, making it possible to align VWAP with fiscal or seasonal cycles (e.g., June–May).
Volatility-Weighted Bands: Standard deviation is calculated using volume-weighted price variance, creating adaptive upper and lower bands around VWAP.
Z-Score Calculation: Converts price distance from VWAP into standardized scores, ranging from +2.5 to –2.5. This enables statistical interpretation of whether price is trading at fair value, extended, or oversold relative to VWAP.
Custom Session Control: Input allows users to change the yearly anchor month.
On-Chart Display: VWAP and bands are plotted, with a live Z-Score label shown on the latest bar.
How to Use
Fair Value Reference: VWAP reflects the average price weighted by volume over the yearly session — a natural equilibrium point.
Overbought / Oversold Detection: Extreme Z-Score readings (±2 or beyond) highlight when price is stretched relative to VWAP.
Cycle Analysis: Resetting VWAP by custom months allows studying market behavior over fiscal years, seasons, or custom trading cycles.
Part of a Broader Toolkit: This script is not a standalone trading system. It works best when aggregated with other indicators, confluence factors, or a structured strategy.
Originality
Unlike a standard VWAP, this version:
Uses yearly anchoring with custom start month instead of session/day anchoring.
Adds volume-weighted standard deviation bands for statistical context.
Translates distance into a Z-Score scale for objective overbought/oversold assessment.
Positive Z-Score values indicate zones where price is positioned favorably for accumulation or potential buys, while negative values highlight areas more suitable for distribution or profit-taking — always best used in confluence with other tools rather than as a standalone signal
triple Keltner Channels with Z-Score V2This script expands on the classic Keltner Channel by plotting three adaptive volatility bands around an EMA baseline and introducing a dynamic Z-Score calculation to quantify price positioning within or beyond those bands.
Features
Three Keltner Channels:
Inner Channel at ×2 ATR
Outer Channel at ×3 ATR
Extended Channel at ×3.5 ATR
Customizable Inputs: EMA length, ATR length, and multipliers can be adjusted to suit different market conditions or asset volatility.
Z-Score Integration: Converts price location relative to the channels into standardized scores (from +2.5 to –2.5). Positive Z indicate a good value/zone to buy while negative one is the contrary (do not use it alone, use it with other indicators )
This provides a statistical lens for identifying overextended, neutral, or mean-reverting conditions.
Visual Clarity: Channel fills highlight volatility zones, while an on-chart label dynamically displays the current Z-Score.
How to Use
Overbought/Oversold Signals: Extreme Z-Score readings (±2 and beyond) suggest stretched conditions that often precede pullbacks or reversions.
Mean Reversion vs Breakout: Traders can assess whether price is likely to revert to the mean (EMA) or sustain momentum beyond outer bands.
Originality
Unlike a standard Keltner Channel, this one:
Uses three progressively wider ATR multiples for deeper volatility mapping.
Adds a Z-Score framework to statistically measure price displacement.
Provides a visual + numerical hybrid output (bands + live Z-Score label).
use only on 1W timeframe
S&P500 Net Issues - Block 1Description:
This indicator calculates and plots net advancers minus decliners for 13 predefined blocks of S&P 500 stocks. Each block represents a sector or a selected subset of stocks.
Features:
Shows net issues (advancers – decliners) for each block separately.
13 blocks plotted with distinct colors for easy identification.
Fully compatible with 1-minute, intraday, or higher timeframe charts.
Ideal for identifying sector momentum and market breadth trends.
Can be used standalone or combined with other indicators such as market indices (e.g., S&P 500 futures or TICK).
Usage:
Green/red/blue/orange lines represent different blocks; positive values indicate more advancing stocks than declining, negative values indicate more declining stocks.
Best viewed on intraday charts for short-term market breadth analysis.
Disclaimer:
This indicator is for educational and analytical purposes only. Not a buy/sell signal. Use proper risk management and verify data before trading.
Algo MA💎 (V.4.3)Algo MA💎 V.4.3 - Multi-EMA System with Advanced Candle Analysis
**Algo MA💎 V.4.3** is a comprehensive trend analysis system that combines multiple EMA configurations with advanced candle coloring, support/resistance detection, and integrated trade management dashboards. This indicator provides a complete visual trading environment with sophisticated trend identification and portfolio tracking capabilities.
**Core Innovation & Originality**
This system uniquely integrates seven distinct analytical components:
1. **Dual-EMA Signal Engine** - Primary trend detection using 9/21 EMA crossovers with customizable sensitivity
2. **Advanced Candle Classification** - Multi-layer candle coloring with two sensitivity levels (violet/rose) based on ATR calculations
3. **Trend Confirmation System** - Secondary 20/50 EMA trend filter with dynamic cloud visualization
4. **Zero Lag EMA Implementation** - 144-period Zero Lag EMA with directional color coding for reduced lag trend analysis
5. **RSI Extreme Detection** - Overbought (75) and oversold (25) level identification with visual markers
6. **Dynamic Support/Resistance** - Pivot-based support and resistance level calculation with 50-bar lookback
7. **Integrated Trade Management** - Three customizable dashboard tables for real-time portfolio tracking
**System Architecture & Functionality**
**Primary Signal Generation:**
The core system uses a 9-period EMA and 21-period EMA comparison to generate directional bias. When EMA9 > EMA21, the system indicates bullish conditions; when EMA9 < EMA21, it signals bearish conditions. This creates the foundation for all visual elements and trend analysis.
**Advanced Candle Coloring Logic:**
The system employs a sophisticated three-layer candle coloring approach:
- **Green Candles**: EMA9 > EMA21 (bullish trend)
- **Red Candles**: EMA9 < EMA21 (bearish trend)
- **Violet Candles**: EMAs within sensitivity_violet * ATR(14) range (consolidation)
- **Rose Candles**: EMAs within sensitivity_rose * ATR(14) range (tight consolidation)
**Sensitivity-Based Classification:**
Two independent sensitivity parameters allow fine-tuning of consolidation detection:
- **Violet Sensitivity (0.3 default)**: Broader consolidation zones
- **Rose Sensitivity (0.1 default)**: Tighter consolidation zones
**Zero Lag EMA Implementation:**
Uses advanced calculation: `zlema = ema(src + src - src , length)` where lag = floor((length-1)/2). This reduces the inherent lag of traditional EMAs while maintaining smoothness.
**Trend Confirmation Framework:**
The 20/50 EMA system provides trend context with visual cloud fills:
- **Blue Cloud**: 20 EMA > 50 EMA (bullish trend environment)
- **Red Cloud**: 20 EMA < 50 EMA (bearish trend environment)
**Unique Visual Features**
**Multi-Layer Candle System:**
The indicator plots up to four candle layers simultaneously:
1. **Base Candles**: Primary EMA-based trend colors
2. **Violet Consolidation**: ATR-adjusted consolidation detection
3. **Rose Consolidation**: Tighter consolidation identification
4. **Bearish Overlay**: Optional bearish candle highlighting
**Support/Resistance Detection:**
Uses pivot point calculations with 50-bar left and right parameters:
- **Green Lines**: Resistance levels from pivot highs
- **Red Lines**: Support levels from pivot lows
- **Dynamic Updates**: Lines adjust based on price action
**RSI Extreme Markers:**
- **Red Triangles**: First occurrence of RSI > 75 (overbought)
- **Green Triangles**: First occurrence of RSI < 25 (oversold)
**Integrated Dashboard System**
**Trade Management Tables:**
Three independent dashboard tables provide comprehensive trade tracking:
- **Stock Information**: Ticker symbol and trade direction (BUY/SELL)
- **Order Details**: Entry price, stop loss, and take profit levels
- **Position Status**: Real-time trade monitoring with color-coded status
**Dashboard Customization:**
- **Positioning**: Bottom-right, bottom-center, bottom-left placement options
- **Color Coding**: Green for BUY positions, red for SELL positions
- **Manual Entry**: User-customizable fields for trade parameters
**Volume Analysis Integration**
**Volume Oscillator:**
Implements short (5) and long (10) EMA volume comparison:
`osc = 100 * (short_volume_ema - long_volume_ema) / long_volume_ema`
This provides additional confirmation for trend strength and potential reversals.
**Usage Instructions**
**Trend Identification:**
- **Primary Trend**: Monitor 9/21 EMA relationship and candle colors
- **Trend Strength**: Observe Zero Lag EMA color (green=bullish, red=bearish)
- **Trend Context**: Use 20/50 EMA cloud for higher timeframe bias
**Entry Signal Recognition:**
- **Bullish Setup**: Green candles + blue trend cloud + support level test
- **Bearish Setup**: Red candles + red trend cloud + resistance level test
- **Consolidation**: Violet/rose candles indicate ranging conditions
**Risk Management Application:**
- **Support/Resistance**: Use pivot levels for stop placement and targets
- **RSI Extremes**: Monitor overbought/oversold conditions for reversal potential
- **Dashboard Tracking**: Utilize tables for position management
**Advanced Analysis:**
- **Sensitivity Adjustment**: Modify violet/rose parameters for market volatility
- **Multi-Timeframe**: Apply system across different timeframes for confluence
- **Volume Confirmation**: Use volume oscillator for signal validation
**Customization Options**
**EMA Parameters:**
- **Main Flow EMAs**: Adjustable 9/21 period settings
- **Trend EMAs**: Customizable 20/50 period configuration
- **Zero Lag EMA**: Modifiable 144-period length
**Visual Settings:**
- **Candle Display**: Toggle bearish candle overlay
- **Trend Visualization**: Show/hide trend cloud and EMAs
- **Support/Resistance**: Enable/disable pivot level display
- **RSI Markers**: Control overbought/oversold triangle display
**Dashboard Configuration:**
- **Table Display**: Independent control for three dashboard tables
- **Trade Details**: Customizable entry, stop, and target fields
- **Position Status**: Manual BUY/SELL/neutral designation
**Alert System**
Built-in alert conditions for:
- **Bullish Signal**: EMA9 crosses above EMA21
- **Bearish Signal**: EMA9 crosses below EMA21
**Important Considerations**
This system works optimally in trending markets with clear directional bias. During consolidation periods, focus on violet/rose candle identification and range-bound strategies. The multiple EMA layers provide comprehensive trend analysis but may generate conflicting signals during choppy conditions.
The dashboard tables serve as trade management tools but require manual input for position tracking. The system combines established EMA techniques with original sensitivity-based consolidation detection and advanced visual presentation methods.
**Disclaimer**: This indicator is designed for educational and analytical purposes. The dashboard tables are for position tracking only and do not execute trades automatically. Past performance does not guarantee future results. Always implement proper risk management and consider multiple confirmation methods before making trading decisions.
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Adaptive Pivot Zones█ OVERVIEW
The "Adaptive Pivot Zones" indicator is a versatile tool designed to identify and visualize key pivot levels directly on the price chart. By detecting pivot highs and lows, the indicator calculates dynamic support and resistance zones based on user-defined levels (default: 0.382, 0.5, 0.618). These zones adapt to market volatility, providing traders with clear visual cues for potential reversal or continuation points. The indicator offers extensive customization options, such as adjusting colors, smoothing lines, and setting fill transparency, making it highly adaptable to various trading styles.
█ CONCEPTS
The "Adaptive Pivot Zones" indicator simplifies the identification of significant price levels by plotting three dynamic pivot lines, which can be smoothed to reduce market noise. The indicator dynamically changes the colors of the lines and fill zones based on price action, using bullish, bearish, or neutral colors to reflect market sentiment.
█ CALCULATIONS
The indicator relies on the following calculations:
- Pivot Detection: Pivot highs (ta.pivothigh) and pivot lows (ta.pivotlow) are identified using a user-defined pivot length (default: 10). Pivots represent significant price peaks and troughs. Higher pivot length values produce more stable levels but introduce a delay equal to the set value. For more aggressive strategies, the pivot length can be reduced.
- Pivot Levels: When both a pivot high and low are detected, the range between them is calculated (rng = drHigh - drLow). Three pivot levels are computed as:
Line 1: drLow + rng * pivotLevel1
Line 2: drLow + rng * pivotLevel2
Line 3: drLow + rng * pivotLevel3
- Smoothing: Pivot lines can be smoothed using a simple moving average (SMA) with a user-defined smoothing length (default: 1) to reduce noise and improve readability.
- Color Logic: Lines and fill zones are colored based on the price position relative to the pivot zones:
If the price is below the lowest pivot line, a bearish color is used (default: red).
If the price is above the highest pivot line, a bullish color is used (default: green).
If the price is within the pivot zones and the neutral color option is enabled, a neutral color is used (default: gray); otherwise, the previous color is retained.
- Fill Zones: The areas between pivot lines are filled with a user-defined transparency level (default: 80) to visually highlight support and resistance zones.
█ INDICATOR FEATURES
- Dynamic Pivot Lines: Three adaptive pivot lines (default levels: 0.382, 0.5, 0.618) are plotted on the price chart, adjusting to market volatility.
- Smoothing: User-defined smoothing length (default: 1) for pivot lines to reduce noise and enhance signal clarity.
- Dynamic Coloring: Lines and fill zones change color based on price action (bullish, bearish, or neutral when the price moves within the zone), reflecting market sentiment.
- Fill Zones: Transparent fills between pivot lines to visually highlight support and resistance zones.
- Customization: Options to adjust pivot length, pivot levels, smoothing, colors, transparency, and enable/disable neutral color logic.
█ HOW TO SET UP THE INDICATOR
- Add the "Adaptive Pivot Zones" indicator to your TradingView chart.
- Configure parameters in the settings, such as pivot length, pivot levels, smoothing length, and colors, to align with your trading strategy. Without smoothing, lines behave like levels; with smoothing, they act like bands. All three levels can be set to the same value to obtain a single level or a line behaving like a moving average derived from pivots.
- Enable or disable the neutral color option (for prices moving within the zone) and adjust fill transparency for optimal visualization.
- Adjust line thickness and style in the "Style" section to improve chart readability.
Example of bands – lines behave like support/resistance zones.
Example of a moving average derived from pivots – line behaves like a pivot-based MA.
█ HOW TO USE
Add the indicator to your chart, adjust the settings, and observe price interactions with the pivot lines and zones to identify potential trading opportunities. Key signals include:
- Price Interaction with Pivot Lines: When the price approaches or crosses a pivot line, it may indicate a potential support or resistance level. A bounce from a pivot line could signal a reversal, while a breakout might suggest trend continuation.
- Zone-Based Signals and Trend Line Usage: Price movement within or outside the filled zones can indicate market sentiment. Price below the lowest pivot line suggests bearish momentum, price above the highest pivot line suggests bullish momentum, and price within the zones may indicate consolidation. With higher pivot length values, the indicator can be used as a trend line, particularly during clear market movements.
- Color Changes: Shifts in line and fill colors (bullish, bearish, or neutral) provide visual cues about changing market conditions.
- Confirmation with Other Tools: Combine the indicator with tools like RSI or Bollinger Bands to validate signals and improve trade accuracy. For example, a buy signal from RSI in the oversold zone combined with a bounce from the lowest pivot line may indicate a strong entry point.
16H Bollinger BandsThis indicator plots Bollinger Bands based on the 16-hour timeframe, regardless of the chart’s current timeframe.
📌 Features:
Uses a higher-timeframe (16H / 960 minutes) SMA as the basis
Upper and lower bands calculated with standard deviation
Adjustable parameters: length, standard deviation multiplier, and source
Works even when applied on lower timeframes (e.g. 1H, 15m), allowing you to overlay higher-timeframe volatility zones on intraday charts
📌 Use cases:
Identify major support and resistance zones from a higher timeframe
Filter out market noise by relying on broader 16H volatility structure
Combine with lower-timeframe signals for more accurate entries and exits
Ross-Style Momentum — StudyRoss-Style Momentum — Study
This indicator is designed to identify high-probability breakout setups inspired by Ross Cameron’s momentum trading style. It combines multiple filters and confirmations to highlight strong long opportunities, while giving traders full control over visibility and thresholds.
Core Features:
Price Range Filter: Only signals when price is between a defined min/max range (ideal for small-cap momentum).
VWAP Alignment: Ensures trades are biased to the long side only when price is above VWAP (optional).
MACD Momentum Check: Requires a fresh MACD bullish crossover within a user-defined lookback.
RSI & ATR Filters: Prevents chasing overextended moves (RSI ceiling) and ignores low-volatility tickers (ATR floor).
Relative Volume (RVOL): Confirms unusual trading activity with minimum RVOL thresholds.
Breakout & Volume Spike: Detects flat-top/base breakouts with volume expansion.
Higher Lows Option: Optional requirement for a constructive higher-lows pattern before breakout.
Float Filter: User-provided float value to avoid large-float stocks if desired.
Visual Tools:
Optional VWAP, Base High/Low, and RVOL plots.
Long setup markers (green labels under qualifying bars).
Background highlight when all conditions align.
Real-time dashboard (top-right) showing pass/fail status of each filter.
Alerts:
Triggers an alert when a full long setup condition is met.
This study does not place trades; it is intended as a signal and confirmation tool for discretionary traders who want to visually validate Ross-style momentum breakout conditions.
Custom High and Low (W,D,4,1)Custom High and Low (W,D,4,1)
can choose Weekly Daily 4h 1hr Previous High and Low.
HMA Bollinger BandsThis script is Bollinger Bands with Hull Moving average as a basis. Users using HMA will benefit from this
