RSI Trend Authority [JOAT]RSI Trend Authority - VAR-RSI with OTT Trend Detection System
Introduction
RSI Trend Authority is an open-source overlay indicator that combines Variable Index Dynamic Average (VAR) smoothed RSI with the Optimized Trend Tracker (OTT) to create a complete trend detection and signal generation system. Unlike traditional RSI which oscillates in a separate pane, this indicator scales the RSI to price and overlays it directly on your chart, making trend analysis more intuitive.
The indicator generates clear BUY and SELL signals when the smoothed RSI crosses the OTT trailing stop line, providing actionable entry points with trend confirmation.
Originality and Purpose
This indicator is NOT a simple mashup of RSI and moving averages. It is an original implementation that transforms RSI into a trend-following overlay system:
Why VAR Smoothing? Traditional RSI is noisy and produces many false signals. The Variable Index Dynamic Average (VAR) is an adaptive smoothing algorithm based on the Chande Momentum Oscillator principle. It adjusts its smoothing factor based on market conditions - responding quickly during trends and smoothing out during choppy markets. This creates an RSI that filters noise while preserving genuine momentum shifts.
Why OTT Trailing Stop? The Optimized Trend Tracker (OTT) is a percentage-based trailing stop mechanism that only moves in the direction of the trend. When VAR-RSI crosses above OTT, a bullish trend is confirmed; when it crosses below, a bearish trend is confirmed. This provides clear, actionable signals rather than subjective interpretation.
Price Scaling Innovation: By scaling RSI (0-100) to price using the formula (RSI * close / 50), the indicator overlays directly on the price chart. This allows traders to see how momentum relates to actual price levels, making trend analysis more intuitive than a separate oscillator pane.
ATR Boundaries: Optional volatility-based boundaries show when price is extended relative to its normal range, helping identify potential reversal zones.
How the components work together:
VAR smoothing removes RSI noise while preserving trend information
OTT provides a dynamic trailing stop that generates clear crossover signals
Price scaling allows direct overlay on the chart for intuitive analysis
ATR boundaries add volatility context for profit target estimation
Core Components
1. VAR-RSI (Variable Index Dynamic Average RSI)
The foundation of this indicator is the VAR smoothing algorithm applied to RSI. VAR is an adaptive moving average that adjusts its smoothing factor based on the Chande Momentum Oscillator principle:
f_var_calc(float data, int length) =>
int a = 9
float b = data > nz(data ) ? data - nz(data ) : 0.0
float c = data < nz(data ) ? nz(data ) - data : 0.0
float d = math.sum(b, a)
float e = math.sum(c, a)
float f = nz((d - e) / (d + e))
float g = math.abs(f)
float h = 2.0 / (length + 1)
float x = ta.sma(data, length)
This creates an RSI that:
Responds quickly during trending conditions
Smooths out during choppy, sideways markets
Reduces false signals compared to raw RSI
2. OTT (Optimized Trend Tracker)
The OTT acts as a dynamic trailing stop that follows the VAR-RSI:
In uptrends, OTT trails below the VAR-RSI line
In downtrends, OTT trails above the VAR-RSI line
The OTT Percent parameter controls how closely it follows
When VAR-RSI crosses above OTT, a bullish trend is confirmed. When VAR-RSI crosses below OTT, a bearish trend is confirmed.
3. Price Scaling
The RSI (0-100 scale) is converted to price scale using:
float scaleFactor = close / 50.0
float varRSIScaled = varRSI * scaleFactor
This allows the indicator to overlay directly on price, showing how momentum relates to actual price levels.
Visual Components
VAR-RSI Line (Cyan/Magenta)
The main indicator line with gradient coloring:
Cyan gradient when RSI is above 50 (bullish)
Magenta gradient when RSI is below 50 (bearish)
Line thickness of 3 for clear visibility
OTT Line (Yellow Circles)
The trailing stop line displayed as circles:
Acts as dynamic support in uptrends
Acts as dynamic resistance in downtrends
Crossovers generate trading signals
Trend Fill
The area between VAR-RSI and OTT is filled:
Cyan fill during bullish trends
Magenta fill during bearish trends
Fill transparency allows price visibility
Buy position and LONG on Dashboard with a Uptrend:
ATR Boundaries (Optional)
Dotted lines showing volatility-based price boundaries:
Upper band: Close + (ATR x Multiplier)
Lower band: Close - (ATR x Multiplier)
Color matches current trend direction
Buy/Sell Signals
Clear labels appear at signal points:
BUY label below bar when VAR-RSI crosses above OTT
SELL label above bar when VAR-RSI crosses below OTT
Additional glow circles highlight signal bars
Bar Coloring
Optional feature that colors price bars:
Cyan bars during bullish trend
Magenta bars during bearish trend
Dashboard Panel
The 8-row dashboard provides comprehensive status information:
Signal: Current position - LONG or SHORT (large text)
VAR-RSI: Current smoothed RSI value (large text)
RSI State: OVERBOUGHT, OVERSOLD, BULLISH, or BEARISH
OTT Trend: UPTREND or DOWNTREND based on OTT direction
Bars Since: Number of bars since last signal
Price: Current close price (large text)
OTT Level: Current OTT trailing stop value
Input Parameters
RSI Settings:
RSI Length: Period for RSI calculation (default: 100)
Source: Price source (default: close)
VAR Settings:
VAR Length: Adaptive smoothing period (default: 50)
OTT Settings:
OTT Period: Trailing stop calculation period (default: 30)
OTT Percent: Distance percentage for trailing stop (default: 0.2)
ATR Trend Boundaries:
Show ATR Boundaries: Toggle visibility (default: enabled)
ATR Length: Period for ATR calculation (default: 14)
ATR Multiplier: Distance multiplier (default: 2.0)
Display Options:
Show Buy/Sell Signals: Toggle signal labels (default: enabled)
Show Status Table: Toggle dashboard (default: enabled)
Table Position: Choose corner placement
Color Bars by Trend: Toggle bar coloring (default: enabled)
Color Scheme:
Bullish Color: Main bullish color (default: cyan)
Bearish Color: Main bearish color (default: magenta)
OTT Line: Trailing stop color (default: yellow)
VAR-RSI Line: Main line color (default: teal)
ATR colors for boundaries
How to Use RSI Trend Authority
Signal-Based Trading:
Enter LONG when BUY signal appears (VAR-RSI crosses above OTT)
Enter SHORT when SELL signal appears (VAR-RSI crosses below OTT)
Use the OTT line as a trailing stop reference
Trend Confirmation:
Cyan fill indicates bullish trend - favor long positions
Magenta fill indicates bearish trend - favor short positions
Check RSI State in dashboard for momentum context
Using the Dashboard:
Monitor "Bars Since" to assess signal freshness
Check RSI State for overbought/oversold warnings
Use OTT Level as a reference for stop placement
ATR Boundaries:
Price near upper ATR band in uptrend suggests extension
Price near lower ATR band in downtrend suggests extension
Boundaries help identify potential reversal zones
Parameter Optimization
For Faster Signals:
Decrease RSI Length (try 50-80)
Decrease VAR Length (try 30-40)
Decrease OTT Period (try 15-25)
For Smoother Signals:
Increase RSI Length (try 120-150)
Increase VAR Length (try 60-80)
Increase OTT Period (try 40-50)
For Tighter Stops:
Decrease OTT Percent (try 0.1-0.15)
For Wider Stops:
Increase OTT Percent (try 0.3-0.5)
Alert Conditions
Three alert conditions are available:
Buy Signal: VAR-RSI crosses above OTT
Sell Signal: VAR-RSI crosses below OTT
Trend Change: OTT direction changes
Understanding the OTT Calculation
The OTT uses a percentage-based trailing mechanism:
float farkOTT = mavgOTT * ottPercent * 0.01
float longStopCalc = mavgOTT - farkOTT
float shortStopCalc = mavgOTT + farkOTT
longStop := mavgOTT > nz(longStop ) ? math.max(longStopCalc, nz(longStop )) : longStopCalc
shortStop := mavgOTT < nz(shortStop ) ? math.min(shortStopCalc, nz(shortStop )) : shortStopCalc
This ensures the trailing stop only moves in the direction of the trend, never against it.
Best Practices
Use on 1H timeframe or higher for more reliable signals
Wait for signal confirmation before entering trades
Consider RSI State when evaluating signal quality
Use ATR boundaries for profit target estimation
The longer RSI length (100) provides smoother trend detection
Combine with support/resistance analysis for better entries
Limitations
Signals may lag during rapid price movements due to smoothing
Works best in trending markets; may whipsaw in ranges
The overlay nature means RSI values are scaled, not absolute
Default parameters are optimized for crypto and forex; adjust for other markets
Technical Notes
This indicator is written in Pine Script v6 and uses:
VAR (Variable Index Dynamic Average) for adaptive smoothing
OTT (Optimized Trend Tracker) for trailing stop calculation
ATR for volatility-based boundaries
Gradient coloring for intuitive trend visualization
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
-Made with passion by officialjackofalltrades
Moving Averages
EMA Extension + Reversion StatisticsEMA Extension + Reversion Statistics
Description
This indicator is a statistical mean-reversion tool designed to quantify how far price has extended from its baseline trend (the Mean EMA) and calculate the historical probability of a reversion event.
Unlike standard oscillators that use arbitrary fixed numbers (like RSI > 70), this script uses a historical rolling window (default 10 years) of daily data to determine exactly what constitutes a "High" or "Extreme" deviation for the specific asset you are charting.
It answers two critical questions:
Is the price statistically overextended? (Are we in the top 2% of historical deviations?)
If I fade this move, what is the historical win rate? (e.g., "When price is this extended, it touches the 9 EMA within 5 days 82% of the time.")
Key Features
Dynamic Volatility Bands: Plots "High" (default 80th percentile) and "Extreme" (default 98th percentile) extension bands based on historical daily closes.
Real-Time Win Rates: An on-screen dashboard displays the historical success rate of three different mean-reversion strategies whenever price hits these bands.
Time-Independent Logic: The statistics are calculated on the Daily timeframe regardless of the chart you are viewing. This allows you to scalp on lower timeframes (like the 5m or 15m) while seeing the statistical pressure from the Daily chart.
Rolling Lookback: Uses an array-based memory system to calculate percentiles over a user-defined lookback period.
The 3 Reversion Strategies
The dashboard calculates the "Win Rate" for three specific scenarios. Note specifically which ones require a Close versus just a Touch:
Touch EMA (9):
Goal: Price must TOUCH the Target EMA (default 9 EMA) at any point during the day. Wicks count.
Constraint: Must happen within the defined "Max Days" (default 5).
Close Inside Band:
Goal: Price must CLOSE back inside the deviation band. A wick inside is not enough; the candle body must confirm the move.
Constraint: Must happen within the defined "Max Days" (default 2).
Touch Mean (20):
Goal: Price must TOUCH the Baseline Band EMA (default 20 EMA) at any point during the day.
Constraint: Must happen within the defined "Max Days" (default 10).
Fully Customizable Settings
This script is designed to be flexible for different trading styles, asset classes, and timeframes. You can adjust the statistical model to fit your specific needs by clicking the Settings (Gear Icon) on the indicator and navigating to the Inputs tab.
What You Can Customize:
Lookback Period (Years):
Default: 10 Years.
You can increase this for a more robust long-term model or decrease it for assets with less history (like newer crypto pairs).
Moving Averages (EMAs):
Change the Band EMA (Default: 20) if you prefer a slower baseline like the 50 EMA.
Change the Target EMA (Default: 9) if you scalp to a faster average like the 5 or 8 EMA.
Time Constraints (Max Days):
Define your own "Time Stop." If you believe a reversion trade isn't valid if it takes longer than 3 days, simply change the Max Days input from 5 to 3. The win rates will instantly update to reflect this stricter rule.
Dashboard Visibility:
Show Dashboard: Toggle the table on or off.
Table Position: Move the table to any corner of the chart (Top Right, Bottom Left, etc.) to fit your workspace.
Strategy Mode: Switch between viewing "Show All 3" strategies at once or focusing on a single strategy to keep your chart clean.
Visual Guide
Red Stepline: The "Extreme" deviation band. Historically, price rarely stays here long.
Orange Stepline: The "High" deviation band. Standard overbought/oversold zone.
Dashboard Colors:
Red Text: Stats relative to the Extreme Band.
Orange Text: Stats relative to the High Band.
Dashboard Data:
Dev: Shows the current deviation of price from the EMA in percent.
Columns: The percentages shown (e.g., "85%") represent the historical Win Rate of that strategy triggering from that specific band.
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. The "Win Rates" displayed are based on historical data and do not guarantee future performance. Trading futures, options, and securities involves significant risk and is not suitable for every investor. You may lose more than your initial investment. Always trade with a risk management plan.
Quantum J-Smooth x Volume Variance [Chained]
**Title: Quantum J-Smooth x Volume Variance **
**Description:**
This indicator is a hybrid trend-following tool that combines Volume Analysis with Advanced Smoothing.
**How it works:**
1. **Volume Math Source:** Instead of using standard candles, this script calculates price based on "Volume Buckets." The price creates a new data point only after a specific amount of volume has traded. This filters out low-volume noise naturally.
2. **J-Smooth Processor:** This "volume-weighted" price is then processed through a Kalman/Hull-style smoothing algorithm (J-Smooth) to produce a clean, responsive trend line.
3. **Lateral Filter:** Includes a built-in filter to detect ranging markets (choppy zones) and avoid false signals.
**Settings:**
* **Volume Bucket Size:** Adjust based on the asset. Lower values (100-500) for Crypto, higher values (10000+) for Forex/Indices.
* **Length/Phase:** Controls the speed and aggressiveness of the trend line.
Waduji - Day Closing LevelThis Indicator will help to plot the EMA with the 2 days closing with option to add 1 day closing, this can be used with some momentum indicator as complete system to catch early momentum.. please contact author for rule of the engagement and other supporting indicators
Continuation Gauge - Bull vs BearDivergence/ strength detector - great for tracking entry at key divergences and visualizing volatility.
YUSUF KARA YZLM Moving Average and Buy/Sell SignalsThis indicator is a comprehensive technical analysis tool that combines dynamic trend tracking and a multiple moving average system. It offers four different moving average lines along with pivot points and an ATR (Average True Range) based trailing stop system.
Features
1. Dynamic Trend Following System
Center calculation based on pivot points (high/low)
Adjustable trailing stop levels with ATR factor
Automatic BUY and SELL signals
Colored line according to trend direction (Green: Uptrend, Red: Downtrend)
2. Multiple Moving Average System
4 different periods (default: 10, 50, 100, 200)
4 different calculation methods:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
Same calculation method or source selection for all periods
Parameters
Trend Following Settings:
Pivot Point Period (2): Calculation period of pivot points
ATR Factor (3): ATR multiplier that determines the trailing stop width
ATR Period (10): ATR calculation Period
Moving Average Settings:
Period Type: Select EMA, SMA, WMA, or HMA
Period Type: Data source (Close, Open, High, Low, etc.)
Periods 1-4: Moving average periods
How to Use
Trend Signals:
BUY tag: Beginning of an uptrend (green)
SELL tag: Beginning of a downtrend (red)
The trend line shows the trailing stop level
Moving Averages:
Blue (10), Black (50), Orange (100), Red (200)
Can be used to identify support/resistance levels and trend direction
Crossovers are important signal points
Strategy Suggestions
BUY signal + price above moving averages = Strong buy
SELL signal + price below moving averages = Strong sell
The trend line can be used as a stop-loss level
Moving average crossovers confirm trend changes
Warnings
Each signal means a profitable trade It will not come.
Risk management should always be applied.
It is recommended to use it together with other indicators and analysis methods.
Past performance does not guarantee future results.
2-Year Simple Moving Average (SMA)2-Year Simple Moving Average (SMA)
This indicator plots a 2-year Simple Moving Average (SMA) of price, designed to highlight long-term market trends and major support or resistance zones.
The 2-year SMA automatically adapts to the chart’s timeframe:
Daily charts: Uses either trading days (≈252 per year) or calendar days (365 per year)
Weekly charts: Uses 52 weeks per year
Monthly charts: Uses 12 months per year
Intraday charts: Estimates bars per year based on the selected timeframe
An optional secondary smoothing moving average can be applied to the 2-year SMA itself, with multiple smoothing types available:
SMA
EMA
SMMA (RMA)
WMA
VWMA
SMA with optional Bollinger Bands
When “SMA + Bollinger Bands” is enabled, volatility bands are calculated using the standard deviation of the 2-year SMA, helping visualize trend stability and expansion.
This indicator is best suited for:
Identifying long-term trend direction
Locating macro support and resistance
Filtering short-term market noise
Assessing price position relative to long-term fair value
Ideal for investors and swing traders seeking a high-timeframe trend reference rather than short-term trade signals.
By JezzaBTC
BullCycle AllocatorBullCycle Allocator is a bull-only trend allocation strategy designed to capture early bullish cycles using momentum-based entries and structured risk management.
The strategy enters long positions when Elephant Bars (EB) signal strong demand and manages the trade through the Supertrend, which defines the active bullish cycle and protects gains as the trend develops.
Risk is fixed per trade using MLPT (Maximum Loss Per Trade), while position size adapts automatically to volatility.
All exits are close-based only, avoiding intrabar noise.
BullCycle Allocator is not a scalping system.
It is built to enter early, stay aligned with the cycle, and exit when the bullish structure breaks.
BULL Whale Finder v1Bull Trend Rider is a bullish trend-following strategy optimized for the 1-hour timeframe, designed to capture sustained upside trends while keeping risk structurally controlled.
It was tested on long-term bullish assets such as BTC, TSLA, NVDA, AMD and AAPL, showing strong performance in trending market conditions.
What’s new
Higher High (HH) filter to improve entry quality and avoid late or weakening momentum.
Core logic
Trades only when price is above the 200 MA with a non-negative slope
Entries on high-momentum expansion bars (VS)
Close-based stops for execution stability
Supertrend acts as a trailing stop only when it improves risk
Risk management (MLPT)
MLPT defines a target risk per trade
Internal volatility buffer absorbs close-based execution effects
Realized loss may slightly exceed MLPT in fast markets
Focused on robustness and survivability over stop-precision
Adds (scaling in)
Risk-aware by design
Each add is capped by remaining risk
Adds reinforce strength, never chase price
Take Profit & Runner
Partial profits are taken on strength, not on arbitrary targets
The first TP helps reduce exposure and let the trade pay for itself
A runner is left to capture extended trends
The runner is managed using Supertrend, trailing only when it improves risk
No fixed upside cap: exits adapt to market structure and momentum
JXMJXRS - Momentum Decay Analysis [MDA]Momentum Decay Analysis is a novel indicator that measures how quickly momentum fades after significant price impulses. Rather than measuring momentum at a single point in time like traditional oscillators, MDA tracks the decay behavior of momentum over subsequent bars, providing insight into whether a move has continuation strength or is exhausting.
The Concept
Every impulse move eventually loses steam. The rate at which this happens tells you a lot about the quality of the move:
Slow decay suggests strong underlying conviction and higher probability of continuation
Fast decay indicates weak momentum that is likely to reverse or consolidate
Accelerating decay warns of exhaustion setting in
Decelerating decay signals momentum may be rebuilding
This concept borrows from physics, specifically the mathematics of exponential decay and half-life calculations used in fields like nuclear physics and pharmacology.
How It Works
The indicator detects impulse moves using a standard deviation threshold above average momentum
After each impulse, it tracks how the momentum magnitude changes over subsequent bars
Using exponential regression, it calculates the decay constant and derives a half-life value
These metrics combine into a single Decay Health score that drives the visual output
Reading the Indicator
The indicator displays as a dynamic EMA line with expanding and contracting bands:
Green coloring indicates healthy momentum with slow decay, suggesting continuation
Gray coloring indicates normal decay, a neutral state
Red coloring indicates rapid decay and potential exhaustion
Band width reflects the decay health. Wider bands suggest stronger, more sustained momentum. Narrower bands indicate weakening momentum.
Small diamond markers appear when new impulses are detected. Green diamonds below price mark bullish impulses. Red diamonds above price mark bearish impulses.
Settings
Impulse Detection Length: Lookback period for calculating average momentum and standard deviation
Decay Measurement Window: Number of bars over which decay is measured after an impulse
Impulse Threshold: How many standard deviations above average qualifies as an impulse
Smoothing: Smoothing applied to the final decay health output
Band Width: Multiplier controlling the width of the bands
Base EMA Length: Period for the central EMA line
Display toggles allow you to show or hide the band fill, impulse signals, and info table.
Use Cases
Identifying when a strong move is losing steam before price reverses
Confirming breakouts by checking if momentum decay is healthy
Filtering entries by only trading when decay health supports your direction
Spotting divergences between price action and momentum sustainability
Timeframes
This indicator works on any timeframe but is designed primarily for 1 hour and above. Higher timeframes generally produce cleaner signals with less noise.
Notes
This indicator is intended as an analytical tool to supplement your existing strategy. It does not provide explicit buy or sell signals. No indicator guarantees profitable results. Always use proper risk management and confirm signals with price action and other forms of analysis.
Plain and Simple ProPlain and Simple Pro™ Trading Indicator
Overview
Plain and Simple Pro is a comprehensive technical analysis indicator for TradingView that combines multiple trading strategies and visual tools to help identify market opportunities. It uses proprietary smoothing algorithms and volatility-based bands to generate trading signals across different timeframes and market conditions.
Core Components
1. Primary Signal System
Utilizes a custom smoothing algorithm that adapts to market volatility
Displays dynamic support and resistance levels
Color-coded trend visualization (uptrend, downtrend, neutral)
Bullish and bearish zone fills for clearer market structure identification
2. Volatility Band System
Four-tier volatility bands based on ATR (Average True Range)
Uses Fibonacci-based multipliers (0.618, 1.236, 2.618, 4.236)
Generates entry signals when bands crossover:
Long/Short Entry Signals: Band 1-2 crossovers for regular trades
Major Long/Short Signals: Band 3-4 crossovers for significant moves
Optional Heikin Ashi smoothing for cleaner signals
3. Performance Dashboard
Tracks two distinct trading strategies in real-time:
Aggressive Signal Strategy: Fast-moving momentum-based approach
Shows current position (LONG/SHORT/NEUTRAL)
Displays unrealized P&L for active positions
Balanced Strategy: Trend-following system with dynamic moving average
More conservative positioning
Real-time P&L tracking
Dashboard is fully customizable (position, size, visibility)
4. Market Structure Analysis
Order Blocks: Identifies institutional buying/selling zones
Bullish order blocks (demand zones)
Bearish order blocks (supply zones)
Automatically removes invalidated blocks
Trend Lines: Automatically drawn support and resistance trendlines
Uses pivot point detection
Validates slope direction
Extends in real-time
Key Features
Customization Options
Complete color customization for all visual elements
Toggle individual components on/off
Adjustable dashboard position and size
Configurable number of order blocks displayed (1-10)
Trend line sensitivity adjustment
Signal Types
Small triangular markers for regular entry signals
Labeled alerts for major trade opportunities
Visual zone fills to highlight key price areas
Real-time position and P&L tracking
Technical Approach
Multi-timeframe analysis capability
Adaptive algorithms that respond to market volatility
Combines momentum, trend-following, and structure-based analysis
Uses both price action and mathematical indicators
Use Cases
Day Trading: Quick entry/exit signals via band crossovers
Swing Trading: Order blocks and trend lines for position entries
Risk Management: Visual zones help identify stop-loss levels
Strategy Testing: Built-in P&L dashboard for strategy evaluation
Visual Elements
Clean, modern interface with customizable colors
Semi-transparent zone fills for clarity
Multiple layers of information without chart clutter
Professional-grade visual presentation
This indicator is designed for traders who want a comprehensive, all-in-one solution that combines technical analysis, signal generation, and performance tracking in a single, customizable package.
Stock Expansion Pullback Screener (v6)Recommended Stock Settings for the Intraday momentum stocks:
➡️ Timeframe: 15m
➡️ ATR Mult: 1.3
➡️ Max bars: 10–15
➡️ Swing trading
➡️ Timeframe: 1H / 4H
➡️ ATR Mult: 1.5
➡️ Max bars: 20–30
SOL Short EMA165 Failed ReclaimThis script identifies short opportunities on SOL when price attempts to reclaim the EMA 165 but fails.
A signal is generated when price trades above the EMA 165 and then closes back below it on the selected timeframe.
The script plots the EMA 165 and triggers an alert() for use with external execution (e.g. Bitget signal bots).
Designed for reliability and clean alert execution.
Scalp Sculpture PRO🟦1 Overview
Scalp Sculpture PRO is a professional-grade multi-timeframe market alignment system engineered for traders who require structure, consistency, and contextual awareness before executing any trade. Rather than focusing on isolated price movements or short-term patterns, the system provides a comprehensive view of market structure by evaluating how different timeframe layers interact with one another. Its primary purpose is to reduce randomness in decision-making by enforcing directional coherence across timeframes.
Unlike conventional indicators that attempt to generate frequent entry signals, Scalp Sculpture PRO acts as a structural filter. It helps traders determine whether current market conditions are favorable, unfavorable, or unclear, allowing them to participate selectively instead of reacting emotionally to every price fluctuation.
🟦2 Concepts
Markets are not random on all levels simultaneously. Higher timeframes tend to reflect broader participation, capital flow, and institutional positioning, while lower timeframes express short-term volatility and execution noise. Scalp Sculpture PRO is built on the foundational concept that trading against higher-timeframe structure significantly increases uncertainty.
The system separates market analysis into layers: a macro layer that defines dominant direction, a normal layer that confirms structural continuity, and an optional fast layer that reflects short-term execution conditions. By evaluating these layers independently and then combining them into a unified structural state, the indicator provides clarity on whether conditions are aligned or fragmented.
🟦3 Features
• Multi-timeframe structural alignment across slow, normal, and fast timeframes
• Objective identification of bullish, bearish, or neutral market states
• Visual matrix summarizing alignment conditions at a glance
• Optional fast execution layer for active and intraday traders
• Candle-state visualization reinforcing structural bias directly on price
• Percent-based oscillator logic ensuring consistency across all markets
• Repaint control via candle-close confirmation for disciplined analysis
• Designed to work across all markets and all timeframes
🟦4 Customization
Scalp Sculpture PRO offers extensive customization while preserving its core logic. Users can define their preferred macro, normal, and fast timeframes, adjust moving average lengths and types, and enable or disable specific layers depending on trading style. Visual components such as fills, candle coloring, matrix visibility, and background cues can be tailored to individual preferences without altering the structural integrity of the system.
This flexibility allows the same indicator to support multiple use cases, from conservative higher-timeframe analysis to more active execution-oriented workflows, while maintaining a consistent analytical foundation.
🟦5 Usage Guidance
This tool is not intended to predict price movements or replace a trader’s execution strategy. Instead, it provides contextual awareness that helps traders avoid operating in structurally unfavorable conditions. Higher timeframes deliver cleaner and more reliable information but react more slowly, while lower timeframes respond faster but contain significantly more noise.
Scalp Sculpture PRO is most effective when used as a filter before execution. Traders are encouraged to act only when alignment is present and to remain patient during mixed or neutral conditions, where uncertainty is elevated.
🟦6 Example Scenario
A trader observes that the macro timeframe indicates a bullish structural bias, while the normal timeframe confirms continuation rather than reversal. The fast layer is monitored for execution timing, but trades are only considered while alignment remains intact. If the fast layer becomes noisy or alignment breaks, the trader refrains from acting, preserving discipline and capital rather than forcing participation.
🟦7 Settings Breakdown
• Macro (slow) timeframe selection to define dominant structure
• Normal timeframe for confirmation of trend continuity
• Optional fast timeframe for execution context
• Adjustable moving average lengths and calculation types
• Enable or disable fast layer based on trading style
• Candle-close confirmation toggle to control repaint behavior
• Visual matrix display for structural awareness
• Candle coloring and background cues for immediate context
🟦8 Conclusion
Scalp Sculpture PRO is designed for traders who value clarity over excitement and structure over speculation. By enforcing multi-timeframe alignment and reducing exposure to contradictory conditions, it supports a disciplined, professional approach to market participation. The system does not promise certainty, but it helps traders consistently operate within higher-probability structural environments.
🟦9 Disclaimer
Scalp Sculpture PRO is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Trading and investing involve risk, and all decisions and risk management responsibilities remain solely with the user.
EMA 8 & EMA 21Momentum change is calculated using two different exponential moving averages (8 and 21), and the values are shown with green (8 EMA) and red (21 EMA) lines.
When the price is above the 8 and 21 EMAs, and both EMA lines are pointing upwards, an increase in volume signals that the price may rise.
Don't forget to use a stop-loss order when trading.
SMA Indicator Signals [MK]Overview
The SMA Indicator Signals indicator is designed to identify high-probability trend-following entries using a dual SMA system and RSI filtering. Unlike traditional crossover indicators that rely on ta.crossover (which often fails during volatile market gaps), this script uses state-based logic to capture signals even when the price "jumps" over the moving average.
The "Gap-Over" Problem Solved
In fast-moving markets or at market open, price often gaps significantly. If the price opens above the SMA 20 after being below it, a standard indicator usually misses the signal because no "physical" cross occurred on the chart.
This indicator compares the current state to the previous state. If the price is now above the SMA while previously being below, the signal triggers regardless of the gap.
Key Features
Persistent Signals: Unlike strategies that hide signals while a trade is active, this indicator plots an icon for every valid occurrence, allowing you to scale into positions or identify secondary entries.
Trend-Filtered: Long signals only appear when the 20 SMA is above the 50 SMA (and vice-versa for shorts).
RSI Guardrail: Built-in RSI logic prevents you from chasing "Longs" into overbought territory or "Shorts" into oversold conditions.
Universal Alerts: Includes pre-configured alertcondition calls for Longs, Shorts, or both.
How to Trade it
The Signal: Look for the Green (Long) or Red (Short) triangles.
User Discretion: Since this version removes automated ADX/Expansion filters, the trader should look at the "width" of the gap between the Blue (20) and Orange (50) SMAs. Wider gaps usually indicate stronger momentum.
Alerts: Create an alert and select "Any SSMA Signal" to be notified on your phone or desktop the moment a setup forms.
Settings
Fast SMA (20): Your primary trigger line.
Slow SMA (50): Your primary trend filter.
RSI Thresholds: Customize how "early" or "late" you want to be filtered out of a move based on momentum.
EMA Candle Color with VWAP & Glow EffectKey Features:
Colored Candles - Candles automatically change color based on price position relative to the primary EMA (green above, red below)
Dual EMA System - Two fully customizable EMAs (default 21 & 50) for trend identification and multi-timeframe analysis
VWAP with Glow Effect - Volume-weighted average price with an optional visual glow effect for enhanced visibility and importance emphasis
Buy/Sell Signals - Automatic triangle markers when price crosses above (buy) or below (sell) the primary EMA
Fully Customizable - All colors, lengths, and display options can be adjusted to suit your trading style
Alert Ready - Built-in alert conditions for EMA crossovers
Settings:
Primary EMA Length (default: 21)
Secondary EMA Length (default: 50)
VWAP with adjustable glow intensity (1-5)
Individual on/off toggles for all components
Custom color schemes for all elements
Best Use Cases:
Trend identification and confirmation
Entry/exit signal generation
Multi-timeframe analysis
Volume-weighted support/resistance levels
Note: This indicator works on all timeframes and asset classes. Adjust EMA lengths based on your trading style (shorter for scalping, longer for swing trading).
Maybe/probably ignore sell signals when both EMA/s above VWAP etc
Let go!!!!
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does
MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management.
The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality.
Entry Logic
A long entry triggers when ALL of the following conditions are true:
1. EMA Stack (Trend Structure)
Price > EMA 20 > EMA 50 > EMA 200
This "stacked" alignment indicates a strong established uptrend
2. RSI Filter (Momentum Window)
RSI between 45-75 (default)
Confirms momentum without entering overbought territory
3. ADX Filter (Trend Strength)
ADX > 20 (default)
Ensures the trend has sufficient strength, not a ranging market
4. MACD Confirmation
MACD line above signal line
Histogram increasing (momentum accelerating)
5. Directional Movement
+DI > -DI
Confirms bullish directional pressure
Exit Logic
Positions are managed with ATR-based levels:
ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry
The default configuration produces a 1:2.4 risk-reward ratio.
Presets
The strategy includes optimized presets based on historical testing:
PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control
Select "Custom" to adjust all parameters manually.
Inputs Explained
EMAs
Fast EMA (20): Short-term trend
Slow EMA (50): Medium-term trend
Trend EMA (200): Long-term trend filter
RSI
Length: Lookback period (default 14)
Min/Max: Entry window to avoid extremes
ADX
Min ADX: Minimum trend strength threshold
Risk
Stop Loss ATR: Multiplier for stop distance
Take Profit ATR: Multiplier for target distance
Trail ATR: Trailing stop distance (if enabled)
Session (Optional)
Filter entries by time of day
Recommended OFF for 3H+ timeframes
What's Displayed
Info Panel (Top Right)
Current preset
Trend status (Strong/Wait)
ADX, RSI, MACD readings
Position status
Risk-reward ratio
Stats Panel (Top Left)
Net P&L %
Total trades
Win rate
Profit factor
Maximum drawdown
Chart
EMA lines (20 blue, 50 orange, 200 purple)
Green background during strong uptrend
Triangle markers on entry signals
Important Notes
⚠️ This is a long-only strategy. It does not take short positions.
⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods.
⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential.
⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions.
Best Practices
Test on your specific market — Results vary significantly across different instruments
Use appropriate position sizing — Never risk more than you can afford to lose
Combine with your own analysis — No indicator replaces understanding market context
Paper trade first — Validate the strategy matches your trading style before risking capital
Alerts
Two alerts are available:
MDZ Long Entry: Fires when all entry conditions are met
Uptrend Started: Fires when EMA stack first aligns bullish
Methodology
This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals.
The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions.
Questions? Leave a comment below.
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks).
Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h).
The Concept: "Angle Settlement"
Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen:
Steep Angle: Momentum is accelerating. (Strong Trend)
Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent)
Dashboard Columns Explained
TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h").
Zone:
> 0 (Green): MACD is above the Zero Line (Bullish Trend context).
< 0 (Red): MACD is below the Zero Line (Bearish Trend context).
Cross:
PCO (Green): Positive Crossover (MACD > Signal).
NCO (Red): Negative Crossover (MACD < Signal).
Deg (°):
The calculated mathematical angle of the MACD line.
Positive (+): Momentum is rising.
Negative (-): Momentum is falling.
State (The Strategy):
STEEP (Bright Color): The angle is increasing. Do not trade against this momentum.
SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover.
Settings & Customization
Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D").
MACD Lengths: Fully customizable (Default 12, 26, 9).
Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
Sequential Triple MA Signal System (RVWAP + Clean Signals)9/21 + RVWAP Crossovers
This is meant to scalp on the m5 timeframe, I didn't test it for others.
Every time we get a close above/below 9/21EMA + RVWAP, we enter a long/short.
The arrows reset with an anti-spam regime so it doesn't crowd too much on consolidations, however it is not perfect, as too strict measures would block reversal candles.
Our goal is to capture big moves on the m5 and trail them with a stop. This method offers very tight entries with stops below the entry candle or the prev. candles wick.
I've backtested this logic on 6 months of data and it was profitable, depending on fees/spread you can get at your broker.
This is just the pine version of it that I made with GPT, I use an algo to trade this automatically for me.
Other Notes:
- This works best in a trending context - know your HTF context
- The longer the consolidations, the clearer the breakouts/breakdowns
- Liquidity sweeps before crossovers work well
- The higher the Distance from price to 9/21 ema during the crossover, the more likely a trend-breakout is to ensure
Never trade stuff without testing before, discover behavioural patterns and you'll see a fine strategy with potential for profits.
The net R for every trade in my backtest was .6R after fees.
TradingIndicator Academy TIA - Pro Scalping System
Beschrijving:
Deze indicator is een geavanceerde scalping tool, specifiek ontwikkeld voor geautomatiseerde Bybit futures trading. De strategie is ontworpen om snelle prijs-reversals ("wicks") te vangen die buiten de standaard deviatie van de VWMA (Volume Weighted Moving Average) vallen.
Het script combineert visuele analyse met volledige webhook-automatisering, waardoor handmatige fouten worden geëlimineerd en trades direct via JSON-commando's worden uitgevoerd.
🚀 Belangrijkste Kenmerken:
⚡ Wick Entry Strategie: Signalen worden gegenereerd wanneer de prijs (High/Low) agressief door de VWMA bands breekt. Dit duidt vaak op liquidaties of overreacties van de markt, gevolgd door een snelle correctie.
🤖 Volledige Automatisering: Ingebouwde, kant-en-klare JSON-alerts voor trading bots. Het script genereert automatisch payloads met side, size, leverage, en unieke UUIDs voor foutloze executie.
👁️ Smart Visuals:
Dynamische TP/SL Boxen: Zodra een positie opent, toont de chart direct de Take Profit (groen) en Stop Loss (rood) zones. Deze boxen updaten real-time mee met de candle, zodat je altijd ziet waar je staat.
Live Dashboard: Een tabel rechtsboven toont de actuele status van de bot, entry prijs, en targets.
🛡️ Risk Management: Ingebouwde (instelbare) logic voor Stoploss (standaard 2.5%) en Takeprofit (0.75%), visueel weergegeven om direct je Risk/Reward te beoordelen.
🛠️ Hoe te gebruiken:
Voeg de indicator toe aan een 1m of 5m chart (bijv. crypto perpetuals).
Vul in de instellingen je Bot / Alert UUIDs in (voor correcte order tracking).
Maak een TradingView Alert aan:
Condition: TIA - Pro Scalping System
Trigger: Any alert() function call
Webhook: De URL van je trading bot of webhook provider.
Zet Min Liq Size op 0 voor alle signalen, of hoger om alleen trades met hoog volume te pakken.
⚠️ Disclaimer:
Trading met leverage brengt risico's met zich mee. Deze tool is bedoeld ter ondersteuning van een geautomatiseerde strategie. Test resultaten altijd eerst met minimale size of in een demo-omgeving.
Liquidation Bubbles [OmegaTools]🔴🟢 Liquidation Bubbles — Advanced Volume & Price Stress Detector
Liquidation Bubbles is a professional-grade analytical tool designed to identify forced positioning events, stop-runs, and liquidation clusters by combining price displacement and volume imbalance into a single, statistically normalized framework.
This indicator is not a repainting signal tool and not a simple volume spike detector. It is a contextual market stress mapper, built to highlight areas where one-sided positioning becomes unstable and the probability of forced order execution (liquidations, stops, margin calls) materially increases.
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## 🔬 Core Concept
Market liquidations do not occur randomly.
They emerge when price deviates aggressively from its volume-weighted equilibrium while volume itself becomes abnormal.
Liquidation Bubbles detects exactly this condition by:
* Estimating a **dynamic equilibrium price** using an *inverted volume-weighted moving average*
* Measuring **directional price stress** relative to that equilibrium
* Measuring **volume stress** relative to its own adaptive baseline
* Normalizing both into **Z-score–like metrics**
* Highlighting only **statistically extreme, asymmetric events**
The result is a clear visual map of stress points where market participants are most vulnerable.
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⚙️ Methodology (How It Works)
1️⃣ Advanced Inverted VWMA (Equilibrium Engine)
The script uses a custom Advanced VWMA, where:
* High volume bars receive less weight
* Low volume bars receive more weight
This produces a **robust equilibrium level**, resistant to manipulation and volume bursts.
This equilibrium is used for **both price and volume normalization**, creating a consistent statistical framework.
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2️⃣ Price Stress (Directional)
Price stress is calculated as:
* The **maximum deviation** between high/low and equilibrium
* Directionally signed (upside vs downside)
* Normalized by its own historical volatility
This allows the script to distinguish:
* Aggressive upside exhaustion
* Aggressive downside capitulation
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3️⃣ Volume Stress
Volume stress is measured as:
* Deviation from volume equilibrium
* Normalized by historical volume dispersion
This filters out:
* Normal high-volume sessions
* Illiquid noise
And isolates abnormal participation imbalance.
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4️⃣ Liquidation Logic
A liquidation event is flagged when:
* Both price stress and volume stress exceed adaptive thresholds
* The imbalance is directional and statistically extreme
Optional Combined Score Mode allows aggregation of price & volume stress into a single composite metric for smoother signals.
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🔵 Bubble System (Signal Hierarchy)
The indicator plots **two tiers of bubbles**:
🟢🔴 Small Bubbles
* Early warning stress points
* Localized stop-runs
* Micro-liquidations
* Often precede reactions or short-term reversals
🟢🔴 Big Bubbles
* Full liquidation clusters
* Forced unwinds
* High probability exhaustion zones
* Frequently align with:
* Intraday extremes
* Range boundaries
* Reversal pivots
* Volatility expansions
Bubble color:
* **Green** → Downside liquidation (sell-side exhaustion)
* **Red** → Upside liquidation (buy-side exhaustion)
Bubble placement is **ATR-adjusted**, ensuring visual clarity without overlapping price.
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🔄 Cross-Market Volume Analysis
The script allows optional **external volume sourcing**, enabling:
* Futures volume applied to CFDs
* Index volume applied to ETFs
* Spot volume applied to derivatives
This is critical when:
* Your traded instrument has unreliable volume
* You want **institutional-grade confirmation**
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🧠 How to Use Liquidation Bubbles
This indicator is **not meant to be traded alone**.
Best use cases:
* 🔹 Confluence with support & resistance
* 🔹 Contextual confirmation for reversals
* 🔹 Identifying fake breakouts
* 🔹 Liquidity sweep detection
* 🔹 Risk management (avoid entering into liquidation zones)
Ideal for:
* Futures
* Indices
* Crypto
* High-liquidity FX pairs
* Intraday & swing trading
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🎯 Who This Tool Is For
Liquidation Bubbles is designed for:
* Advanced discretionary traders
* Order-flow & liquidity-based traders
* Macro & index traders
* Professionals seeking **context**, not signals
If you want **where the market is fragile**, not just where price moved — this tool was built for you.
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📌 Key Characteristics
✔ Non-repainting
✔ Statistically normalized
✔ Adaptive to volatility
✔ Works on all timeframes
✔ Futures & crypto ready
✔ No lagging indicators
✔ No moving average crosses
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Liquidation Bubbles does not predict the future.
It shows you where the market is most likely to break.
— OmegaTools
