Goldbach Swing Points [z3nius]This script checks if the swing point's time (hour + minute) is a Goldbach number. Only works on CME futures charts.
Penunjuk dan strategi
Altcoin Breakout Detector//@version=5
indicator("Altcoin Breakout Detector", overlay=true)
resistanceLevel = input.float(50.0, "Resistance Level", minval=0.0, maxval=100.0)
breakoutZoneTop = input.float(25.0, "Breakout Zone Top", minval=0.0, maxval=100.0)
shortMA = ta.sma(close, 5) // 5-period moving average for trend confirmation
// Define buy signal conditions
lastPrice = close
secondLastPrice = close
lastVolume = volume
avgVolume = ta.sma(volume, 20) // 20-period simple moving average of volume
buySignal = lastPrice > resistanceLevel and secondLastPrice <= resistanceLevel and lastVolume > avgVolume * 1.5 and lastPrice > shortMA
// Plot buy signal
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
// Highlight breakout zone
hline(breakoutZoneTop, "Breakout Zone", color=color.orange, linestyle=hline.style_dashed)
bgcolor(color.new(color.orange, 90)) // Constant shading for the breakout zone (0 to 25.00)
Trend StrengthTrend Strength Dashboard (11-Point System)
Description:
This indicator is a visually enhanced dashboard that evaluates 11 key technical signals to assess bullish momentum for stocks and ETFs. Each condition is displayed in a easy reading table for quick interpretation and visual appeal.
Signals include:
Higher highs and higher lows
Price above EMA21 and SMA200
SMA50 > SMA200
Positive slope on SMA50 and SMA200
RSI trending upward
Ideal for traders who want a clean, at-a-glance summary of market strength without scanning multiple charts or indicators.
Custom EMA 9/21/50/200Chart Screenshots: Include a chart screenshot showing the EMAs with different colors and line styles (e.g., EMA 9 dashed, EMA 21 dotted, EMA 50 solid, EMA 200 solid) to demonstrate the visual output.
Backtest Results: If you want to add credibility, you can mention that the indicator is designed for visual analysis but can be integrated into strategies (though no trading logic is included here).
TradingView Guidelines: Ensure compliance with TradingView’s publishing rules (e.g., original content, no misleading claims).
This description is concise yet comprehensive, highlighting the indicator’s features and usability to attract traders on TradingView. Let me know if you need help with additional publishing steps or want to tweak the description further!
FSTO + MACD Combined OscillatorFSTO + MACD Combined Oscillator with Advanced Alerts
Introduction
The FSTO + MACD Combined Oscillator is a powerful technical analysis tool that synergizes two proven momentum indicators to deliver high-confidence trading signals. By combining the Moving Average Convergence Divergence (MACD) with the Fast Slow Trend Oscillator (FSTO), this indicator provides unique insights into market momentum, trend direction, and potential reversal points.
Key Features
1. Dual Indicator Integration
MACD Component:
Fast EMA (user-configurable period)
Slow EMA (user-configurable period)
Signal line with customizable smoothing
Histogram showing momentum strength
FSTO Component:
Short-term EMA (price-based)
Long-term EMA (price-based)
Signal line with adjustable period
Zero-line crossover detection
2. Advanced Alert System
Four specialized alert conditions that trigger only when both indicators confirm momentum shifts:
Bullish Reversal Alert
FSTO crosses above zero + MACD transitions from falling to rising
Strong trend reversal signal
Bullish Momentum Alert
FSTO crosses above signal line + MACD transitions from falling to rising
Confirmation of bullish momentum
Bearish Reversal Alert
FSTO crosses below zero + MACD transitions from rising to falling
Strong trend reversal signal
Bearish Momentum Alert
FSTO crosses below signal line + MACD transitions from rising to falling
Confirmation of bearish momentum
3. Visual Indicators
Color-coded plots:
MACD line (blue)
MACD signal line (orange)
FSTO line (purple)
FSTO signal line (amber)
Histogram:
Green: Strengthening bullish momentum
Light green: Weakening bullish momentum
Red: Strengthening bearish momentum
Light red: Weakening bearish momentum
Alert markers:
Numbered labels (1-4) at chart extremes
Color-coded for quick identification
4. Information Panel
Real-time display of:
Current MACD and FSTO values
Trend direction (bullish/bearish)
Momentum status (rising/falling)
Active alerts with color coding
How It Works
The indicator calculates two parallel momentum measurements:
MACD = EMA(close, fast_length) - EMA(close, slow_length)
FSTO = EMA(close, short_period) - EMA(close, long_period)
The true power emerges when these indicators confirm each other's signals:
MACD detects momentum shifts in price derivatives
FSTO identifies trend changes in price itself
Combined signals filter out false positives
Trading Applications
1. Trend Identification
Bullish Trend: FSTO > 0 and MACD > signal line
Bearish Trend: FSTO < 0 and MACD < signal line
2. High-Probability Entries
Long Entry: Alert 1 or 2 triggers
Short Entry: Alert 3 or 4 triggers
3. Exit Signals
MACD histogram color change (green to light green)
FSTO crossing signal line against trend direction
4. Risk Management
Stop placement below recent swing low (bullish)
Stop placement above recent swing high (bearish)
Position sizing based on histogram strength
Recommended Settings
Market MACD Fast MACD Slow FSTO Short FSTO Long
Stocks 12 26 12 26
Cryptocurrency 10 20 10 20
Forex 8 17 8 17
Commodities 14 28 14 28
Benefits
Synergistic Signals: Combines price-based and derivative-based momentum
Reduced False Signals: Requires confirmation from both indicators
Customizable Alerts: Enable/disable specific alert types
Visual Clarity: Color-coded elements for quick interpretation
Multi-Timeframe: Works on all timeframes from 1-minute to monthly
How to Use
Add indicator to TradingView chart
Configure periods based on market and timeframe
Enable desired alerts in settings
Set up notifications through TradingView alert system
Combine with price action analysis for best results
The MACD + FSTO Combined Oscillator provides professional traders with a sophisticated yet intuitive tool for identifying high-probability trade setups across all financial markets. Its unique alert system ensures you never miss critical momentum shifts confirmed by dual-indicator analysis.
TMAD Algo Supply DemandThis Pine Script identifies supply and demand zones using volume profile analysis between pivot points or a fixed look-back period. It dynamically highlights these zones with color-coded boxes based on whether price is currently above (bullish) or below (bearish) each zone.
Percentage Buy, Target, Stop + OverlayPercentage Buy, Target, Stop + Overlay
This tool helps traders plan entries and exits using fixed percentage offsets instead of volatility. It plots Buy, Target, and Stop levels on the chart based on a user‑defined entry price and simple percentage multipliers—giving a clear, objective framework for risk/reward.
NOTE: To activate the lines and table, enter a Buy Price greater than zero.
What It Does
Buy Price Input: Manually enter your intended entry price (e.g. planned or executed trade).
Percentage‑Based Target and Stop:
Target Price = Buy × (1 + Target % / 100)
Stop Price = Buy × (1 – Stop % / 100)
Visual Overlay: Draws horizontal lines at Buy, Target, and Stop levels on your chart.
Interactive Table: Displays Buy, Target, Stop and their percentages in a customizable on‑chart table.
Customization Options
Line Settings
Choose color, style (solid/dashed/dotted), and width for each line.
Extend lines to the right only or both directions.
Table Settings
Position table (top/bottom × left/right).
Toggle rows for Buy, Target, Stop, and percentage values.
Adjust text colors and background transparency.
How to Use It for Trading
Plan Your Trade: Enter your entry price.
Set Exits: Specify target and stop percentages to instantly see risk/reward zones.
Visual Reference: Lines update in real time as you adjust inputs—ideal for live monitoring or backtesting.
Straightforward Risk Management: Fixed percentages offer a simple alternative when ATR or volatility‑based levels aren’t preferred.
Ideal For
Traders who prefer fixed percentage targets/stops
Quick risk/reward visualization
Beginners seeking a clear, rule‑based exit framework
Any trader wanting an alternative to volatility‑based sizing
FSTO - Fast Slow Trend OscillatorFSTO Indicator: Fast Slow Trend Oscillator
Introduction
The FSTO (Fast Slow Trend Oscillator) is a powerful momentum indicator designed to identify trend direction, strength, and potential reversal points in financial markets. Based on the relationship between short-term and long-term exponential moving averages (EMAs), FSTO provides clear visual signals and actionable alerts to help traders make informed decisions.
Key Features
1. Dual-Line Visualization
FSTO Line: The difference between short-term and long-term EMAs
Signal Line: Smoothed version of the FSTO line for confirmation
2. Comprehensive Trend Analysis
Zero Line: Clearly marks the boundary between bullish and bearish territory
Color Zones:
Green area: Positive momentum (bullish)
Red area: Negative momentum (bearish)
3. Intelligent Alert System
Zero Line Cross Alerts: Signals when trend direction changes
Signal Line Cross Alerts: Identifies entry and exit points
Visual Markers: Triangle indicators highlight important cross events
4. Information Panel
Real-time display of:
Current FSTO value
Trend direction (Bullish/Bearish)
Momentum strength (Strengthening/Weakening)
How It Works
FSTO calculates the difference between two EMAs:
复制
FSTO Line = EMA(close, shortPeriod) - EMA(close, longPeriod)
Signal Line = EMA(FSTO, signalPeriod)
The indicator then:
Identifies when FSTO crosses above/below zero (trend change)
Detects when FSTO crosses above/below its signal line (entry/exit signals)
Visualizes momentum strength through color zones
Provides real-time alerts for key events
Recommended Settings
Market Short EMA Long EMA Signal Line
Stocks 12 26 9
Cryptocurrency 8 21 5
Forex 10 30 7
Commodities 14 28 8
Trading Signals
Bullish Trend: FSTO > 0
Bearish Trend: FSTO < 0
Buy Signal: FSTO crosses above signal line
Sell Signal: FSTO crosses below signal line
Strong Buy: Bullish cross below zero line
Strong Sell: Bearish cross above zero line
How to Use
Add the indicator to your TradingView chart
Configure EMA periods based on your trading style
Set up alerts for key events:
Zero line crosses (trend changes)
Signal line crosses (entry/exit points)
Combine with other indicators for confirmation
Use information panel for quick market assessment
Benefits
Clear visualization of trend direction
Early detection of momentum shifts
Customizable parameters for different markets
Actionable alerts for timely trading decisions
Comprehensive information panel for quick analysis
The FSTO indicator is an essential tool for traders seeking to identify trend direction, momentum strength, and potential reversal points across all timeframes and market conditions.
Volume Heatmap ProVolume Heatmap Pro - Statistical Volume Analysis Indicator
First and foremost, credit goes to xdecow. You can find the original indicator here:
I forked this indicator to make some changes that I wanted (mainly being able to color the volume bars and candlesticks independently).
Overview:
Volume Heatmap Pro is an advanced volume analysis tool that uses statistical analysis to identify significant volume anomalies in real-time. By calculating how many standard deviations the current volume is from its moving average (Z-score), it provides a visual heatmap that instantly highlights unusual volume activity.
Key Features:
📊 Statistical Volume Analysis
- Measures volume using Z-score calculations (standard deviations from mean)
- Dynamically adapts to each instrument's unique volume profile
- Identifies statistically significant volume spikes and drops
🎨 Visual Heatmap System
- Color-coded candlesticks and volume bars based on volume intensity
- Five threshold levels: Extra High (4σ), High (2.5σ), Medium (1σ), Normal (-0.5σ), and Low
- Multiple display modes: backgrounds, lines, or both
- Customizable colors for all threshold levels
⚙️ Flexible Configuration
- Adjustable moving average and standard deviation lengths (default: 610)
- Two color modes: Heatmap (volume-only) or Up/Down (volume + direction)
- Volume bar opacity control
🔔 Smart Alerts
- Set alerts for any threshold level
- Separate alerts for up/down volume bars
- Monitor unusual volume activity across multiple instruments
Use Cases:
- Identify institutional activity and large player participation
- Spot potential breakouts or reversals with volume confirmation
- Monitor volume climax and exhaustion patterns
- Analyze volume trends across different timeframes
- Validate price movements with statistical volume analysis
Perfect For:
Day traders, swing traders, VPA traders, and investors who want to add visual confirmation to their volume analysis and quickly identify when "smart money" is active in the market.
Student-t Weighted Acceleration & Velocity⚙️ Student-t Weighted Acceleration & Velocity
Author: © GabrielAmadeusLau
Category: Momentum, Smoothing, Divergence Detection
🔍 Overview
Student-t Weighted Acceleration & Velocity is a precision-engineered momentum indicator designed to analyze the rate of price change (velocity) and rate of change of velocity (acceleration). It leverages Student-t weighted smoothing, bandpass filtering, and divergence detection to reveal underlying momentum trends, shifts, and potential reversals with high sensitivity and low noise.
🧠 Key Features
🌀 1. Student-t Weighted Moving Average
Applies Student-t distribution weights to price data.
Controlled by:
ν (Degrees of Freedom): Lower ν increases weight on recent data, improving sensitivity to fast-moving markets.
Window Length: Sets the lookback period for weighted averaging.
🚀 2. Velocity & Acceleration Calculation
Velocity: Measures how fast price is moving over time.
Acceleration: Measures the change in velocity, revealing turning points.
Both are calculated via:
Butterworth High-pass Filter
Super Smoother Low-pass Filter
Fast Root Mean Square (RMS) normalization
Optionally smoothed using a Super Smoother EMA.
🎯 3. Signal Conditions
Strong Up: When smoothed velocity crosses above the overbought threshold and acceleration is positive.
Strong Down: When smoothed velocity crosses below the oversold threshold and acceleration is negative.
Visual cues:
Green & red triangle shapes for signals.
Colored histogram & column plots.
Optional bar coloring based on A/V behavior.
🔎 4. Divergence Detection Engine
Built-in multi-timeframe divergence system with:
Bullish/Bearish Regular Divergence
Bullish/Bearish Hidden Divergence
Customizable settings:
Pivot detection, confirmation logic, lookback limits.
Heikin Ashi mode for smoothed divergence detection.
Configurable line style, width, and color.
Visual plots of divergence lines on price chart.
⚙️ Custom Inputs
A/V Calculation Parameters:
Lookback period, filter lengths (Butterworth, Super Smoother, RMS), EMA smoothing.
Divergence Settings:
Enable/disable confirmation, show last divergence only.
Adjustable pivot period and max lookback bars.
Heikin Ashi Mode:
Option to use Heikin Ashi candles for divergence detection only (without switching chart type).
Thresholds:
Overbought/Oversold Sigma levels for strong signal detection.
🔔 Alerts Included
Strong Up Alert: Momentum and acceleration aligned bullishly.
Strong Down Alert: Momentum and acceleration aligned bearishly.
All Divergence Types:
Bullish/Bearish Regular Divergence
Bullish/Bearish Hidden Divergence
Aggregated Divergence Alerts
📌 Use Cases
Spot momentum bursts and reversals with confirmation from both velocity and acceleration.
Identify divergence-based signals for early entries/exits.
Apply across multiple timeframes or pair with other trend filters.
OHLC_DayLibrary "OHLC_Day"
TODO: add library description here
openD(x)
Parameters:
x (int)
highD(x)
Parameters:
x (int)
lowD(x)
Parameters:
x (int)
closeD(x)
Parameters:
x (int)
Horizontal Grid from Base PriceSupport & Resistance Indicator function
This inductor is designed to analyze the "resistance line" according to the principle of mother fish technique, with the main purpose of:
• Measure the price swing cycle (Price Swing Cycle)
• analyze the standings of a candle to catch the tempo of the trade
• Used as a decision sponsor in conjunction with Price Action and key zones.
⸻
🛠️ Main features
1. Create Automatic Resistance Boundary
• Based on the open price level of the Day (Initial Session Open) bar.
• It's the main reference point for building a price framework.
2. Set the distance around the resistance line.
• like 100 dots/200 dots/custom
• Provides systematic price tracking (Cycle).
3. Number of lines can be set.
• For example, show 3 lines or more of the top-bottom lines as needed.
4. Customize the color and style of the line.
• The line color can be changed, the line will be in dotted line format according to the user's style.
• Day/night support (Dark/Light Theme)
5. Support for use in conjunction with mother fish techniques.
• Use the line as a base to observe whether the "candle stand above or below the line".
• It is used to help see the behavior of "standing", "loosing", or "flow" of prices on the defensive/resistance line.
6. The default is available immediately.
• The default is based on the current Day bar opening price.
• Round distance, e.g. 200 points, top and bottom, with 3 levels of performance
Market Structure HH, HL, LH and LLit calculates zig zag.This indicator identifies key market structure points — Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) — using a configurable Zigzag approach. When a new HL or LH forms, it generates:
A suggested Entry level
A calculated Stop Loss (SL)
Three Take Profit (TP1, TP2, TP3) levels based on user-defined risk-reward ratios
The script shows only the most recent trade setup to keep the chart clean, and includes visual labels and alert options for both buy and sell conditions.
Supply/Demand Zones - Fixed v3 (Cross YES Only)This Pine Script indicator creates Supply/Demand Zones with specific filtering criteria for TradingView. Here's a comprehensive description:
Supply/Demand Zones -(Cross YES Only)
Core Functionality
Session-Based Analysis: Identifies and visualizes price ranges during user-defined time sessions
Cross Validation Filter: Only displays zones when the "Cross" condition is met (Open and Close prices cross the mid-range level)
Real-Time Monitoring: Tracks price action during active sessions and creates zones after session completion
Key Features
Time Range Configuration
Customizable session hours (start/end time with minute precision)
Timezone support (default: Europe/Bucharest)
Flexible scheduling for different trading sessions
Visual Elements
Range Border: Dotted outline showing the full session range (High to Low)
Key Levels: Horizontal lines for High, Low, and Mid-range levels
Sub-Range Zones: Shaded areas showing Open and Close price zones
Percentage Labels: Display the percentage of range occupied by Open/Close zones
Active Session Background: Blue background highlighting during active sessions
Smart Filtering System
Cross Condition: Only creates zones when:
Open < Mid AND Close > Mid (bullish cross), OR
Open > Mid AND Close < Mid (bearish cross)
This filter ensures only significant price movements that cross the session's midpoint are highlighted
Customization Options
Display Controls: Toggle visibility for borders, lines, zones, and labels
Color Schemes: Full color customization for all elements
Transparency Settings: Adjustable transparency for zone fills
Text Styling: Configurable label colors and information display
Technical Specifications
Maximum capacity: 500 boxes, 500 lines, 200 labels
Overlay indicator (draws directly on price chart)
Bar-time based positioning for accurate historical placement
Use Cases
Supply/Demand Trading: Identify key price levels where institutions may have interest
Session Analysis: Understand price behavior during specific trading hours
Breakout Detection: Focus on sessions where price crosses significant levels
Support/Resistance: Use range levels for future trade planning
What Makes It Unique
The "Cross YES Only" filter ensures that only meaningful price sessions are highlighted - those where the market shows directional bias by crossing from one side of the range to the other, indicating potential institutional interest or significant market sentiment shifts.
Liquidity Trap Zones [PhenLabs]📊 Liquidity Trap Zones
Version: PineScript™ v6
📌 Description
The goal of the Liquidity Trap Zones indicator is to try and help traders identify areas where market liquidity appears abundant but is actually thin or artificial, helping traders avoid potential fake outs and false breakouts. This advanced indicator analyzes the relationship between price wicks and volume to detect “mirage” zones where large price movements occur on low volume, indicating potential liquidity traps.
By highlighting these deceptive zones on your charts, the indicator helps traders recognize where institutional players might be creating artificial liquidity to trap retail traders. This enables more informed decision-making and better risk management when approaching key price levels.
🚀 Points of Innovation
Mirage Score Algorithm: Proprietary calculation that normalizes wick size relative to volume and average bar size
Dynamic Zone Creation: Automatically generates gradient-filled zones at trap locations with ATR-based sizing
Intelligent Zone Management: Maintains clean charts by limiting displayed zones and auto-updating existing ones
Scale-Invariant Design: Works across all assets and timeframes with intelligent normalization
Real-Time Detection: Identifies trap zones as they form, not after the fact
Volume-Adjusted Analysis: Incorporates tick volume when available for more accurate detection
🔧 Core Components
Mirage Score Calculator: Analyzes the ratio of price wicks to volume, normalized by average bar size
ATR-Based Filter: Ensures only significant price movements are considered for trap zone creation
EMA Smoothing: Reduces noise in the mirage score for clearer signals
Gradient Zone Renderer: Creates visually distinct zones with multiple opacity levels for better visibility
🔥 Key Features
Real-Time Trap Detection: Identifies liquidity mirages as they develop during live trading
Dynamic Zone Sizing: Adjusts zone height based on current market volatility (ATR)
Smart Zone Management: Automatically maintains a clean chart by limiting the number of displayed zones
Customizable Sensitivity: Fine-tune detection parameters for different market conditions
Visual Clarity: Gradient-filled zones with distinct borders for easy identification
Status Line Display: Shows current mirage score and threshold for quick reference
🎨 Visualization
Gradient Trap Zones: Purple gradient boxes with darker centers indicating trap strength
Mirage Score Line: Orange line in status area showing current liquidity quality
Threshold Reference: Gray line showing your configured detection threshold
Extended Zone Display: Zones automatically extend forward as new bars form
📖 Usage Guidelines
Detection Settings
Smoothing Length (EMA) - Default: 10 - Range: 1-50 - Description: Controls responsiveness of mirage score. Lower values make detection more sensitive to recent price action
Mirage Threshold - Default: 5.0 - Range: 0.1-20.0 - Description: Score above this level triggers trap zone creation. Higher values reduce false positives but may miss subtle traps
Filter Settings
ATR Length for Range Filter - Default: 14 - Range: 1-50 - Description: Period for volatility calculation. Standard 14 works well for most timeframes
ATR Multiplier - Default: 1.0 - Range: 0.0-5.0 - Description: Minimum bar range as multiple of ATR. Higher values filter out smaller moves
Display Settings
Zone Height Multiplier - Default: 0.5 - Range: 0.1-2.0 - Description: Controls trap zone height relative to ATR. Adjust for visual preference
Max Trap Zones - Default: 5 - Range: 1-20 - Description: Maximum zones displayed before oldest are removed. Balance clarity vs. history
✅ Best Use Cases
Identifying potential fakeout levels before entering trades
Confirming support/resistance quality by checking for liquidity traps
Avoiding stop-loss placement in trap zones where sweeps are likely
Timing entries after trap zones are cleared
Scalping opportunities when price approaches known trap zones
⚠️ Limitations
Requires volume data - less effective on instruments without reliable volume
May generate false signals during news events or genuine volume spikes
Not a standalone system - combine with price action and other indicators
Zone creation is based on historical data - future price behavior not guaranteed
💡 What Makes This Unique
First indicator to specifically target liquidity mirages using wick-to-volume analysis
Proprietary normalization ensures consistent performance across all markets
Visual gradient design makes trap zones immediately recognizable
Combines multiple volatility and volume metrics for robust detection
🔬 How It Works
1. Wick Analysis: Calculates upper and lower wicks for each bar. Normalizes by average bar size to ensure scale independence
2. Mirage Score Calculation: Divides total wick size by volume to identify thin liquidity. Applies EMA smoothing to reduce noise. Scales result for optimal visibility
3. Zone Creation: Triggers when smoothed score crosses threshold. Creates gradient boxes centered on trap bar. Sizes zones based on current ATR for market-appropriate scaling
💡 Note: Liquidity Trap Zones works best when combined with traditional support/resistance analysis and volume profile indicators. The zones highlight areas of deceptive liquidity but should not be the sole factor in trading decisions. Always use proper risk management and confirm signals with price action.
Gabriel's Weibull Stdv. SuperTrend📈 Gabriel's Weibull Stdv. SuperTrend
Description:
Gabriel’s Weibull Stdv. SuperTrend is a custom trend-following indicator that blends the statistical rigor of the Weibull Moving Average with the adaptive nature of the Standard Deviation-based SuperTrend.
This hybrid system dynamically adjusts its trend bands using a Weibull-weighted average, emphasizing more recent price action while allowing the curve to flexibly adapt based on two key Weibull parameters: Shape (k) and Scale (λ). The bands themselves are shifted by a multiple of standard deviation, offering a volatility-sensitive approach to trend detection.
🔧 Key Components:
Weibull Moving Average (WMA):
A smoothing function that assigns weights to historical prices using the Weibull distribution, controlled via Shape and Scale parameters.
SuperTrend Logic with Adaptive Bands:
Standard deviation is calculated over a user-defined length and scaled with a factor to set upper and lower thresholds around the WMA.
Trend Direction Detection:
The algorithm identifies bullish or bearish states based on crossover logic relative to the dynamic bands.
Visual Enhancements:
Bright green/red lines for SuperTrend direction.
Midpoint overlay and color-coded candles for clarity.
Filled zones between price and trend for visual emphasis.
⚙️ User Inputs:
Source: Price data to analyze (default: close).
Stdv. Length: Period for calculating standard deviation.
Factor: Multiplier to widen or narrow the SuperTrend bands.
Window Length: Lookback period for the Weibull MA.
Shape (k): Controls the skewness of the Weibull distribution.
Scale (λ): Stretches or compresses the weighting curve.
🔔 Alerts:
Long Entry Alert: Triggered when the trend flips bullish.
Short Entry Alert: Triggered when the trend flips bearish.
🧠 Use Cases:
Catch early reversals using custom-tailored smoothing.
Identify high-confidence trend shifts with dynamic volatility.
Combine with other confirmation indicators for enhanced entries.
Fear Volatility Gate [by Oberlunar]The Fear Volatility Gate by Oberlunar is a filter designed to enhance operational prudence by leveraging volatility-based risk indices. Its architecture is grounded in the empirical observation that sudden shifts in implied volatility often precede instability across financial markets. By dynamically interpreting signals from globally recognized "fear indices", such as the VIX, the indicator aims to identify periods of elevated systemic uncertainty and, accordingly, restrict or flag potential trade entries.
The rationale behind the Fear Volatility Gate is rooted in the understanding that implied volatility represents a forward-looking estimate of market risk. When volatility indices rise sharply, it reflects increased demand for options and a broader perception of uncertainty. In such contexts, price movements can become less predictable, more erratic, and often decoupled from technical structures. Rather than relying on price alone, this filter provides an external perspective—derived from derivative markets—on whether current conditions justify caution.
The indicator operates in two primary modes: single-source and composite . In the single-source configuration, a user-defined volatility index is monitored individually. In composite mode, the filter can synthesize input from multiple indices simultaneously, offering a more comprehensive macro-risk assessment. The filtering logic is adaptable, allowing signals to be combined using inclusive (ANY), strict (ALL), or majority consensus logic. This allows the trader to tailor sensitivity based on the operational context or asset class.
The indices available for selection cover a broad spectrum of market sectors. In the equity domain, the filter supports the CBOE Volatility Index ( CBOE:VIX VIX) for the S&P 500, the Nasdaq-100 Volatility Index ( CBOE:VXN VXN), the Russell 2000 Volatility Index ( CBOEFTSE:RVX RVX), and the Dow Jones Volatility Index ( CBOE:VXD VXD). For commodities, it integrates the Crude Oil Volatility Index ( CBOE:OVX ), the Gold Volatility Index ( CBOE:GVZ ), and the Silver Volatility Index ( CBOE:VXSLV ). From the fixed income perspective, it includes the ICE Bank of America MOVE Index ( OKX:MOVEUSD ), the Volatility Index for the TLT ETF ( CBOE:VXTLT VXTLT), and the 5-Year Treasury Yield Index ( CBOE:FVX.P FVX). Within the cryptocurrency space, it incorporates the Bitcoin Volmex Implied Volatility Index ( VOLMEX:BVIV BVIV), the Ethereum Volmex Implied Volatility Index ( VOLMEX:EVIV EVIV), the Deribit Bitcoin Volatility Index ( DERIBIT:DVOL DVOL), and the Deribit Ethereum Volatility Index ( DERIBIT:ETHDVOL ETHDVOL). Additionally, the user may define a custom instrument for specialized tracking.
To determine whether market conditions are considered high-risk, the indicator supports three modes of evaluation.
The moving average cross mode compares a fast Hull Moving Average to a slower one, triggering a signal when short-term volatility exceeds long-term expectations.
The Z-score mode standardizes current volatility relative to historical mean and standard deviation, identifying significant deviations that may indicate abnormal market stress.
The percentile mode ranks the current value against a historical distribution, providing a relative perspective particularly useful when dealing with non-normal or skewed distributions.
When at least one selected index meets the condition defined by the chosen mode, and if the filtering logic confirms it, the indicator can mark the trading environment as “blocked”. This status is visually highlighted through background color changes and symbolic markers on the chart. An optional tabular interface provides detailed diagnostics, including raw values, fast-slow MA comparison, Z-scores, percentile levels, and binary risk status for each active index.
The Fear Volatility Gate is not a predictive tool in itself but rather a dynamic constraint layer that reinforces discipline under conditions of macro instability. It is particularly valuable when trading systems are exposed to highly leveraged or short-duration strategies, where market noise and sentiment can temporarily override structural price behavior. By synchronizing trading signals with volatility regimes, the filter promotes a more cautious, informed approach to decision-making.
This approach does not assume that all volatility spikes are harmful or that market corrections are imminent. Rather, it acknowledges that periods of elevated implied volatility statistically coincide with increased execution risk, slippage, and spread widening, all of which may erode the profitability of even the most technically accurate setups.
Therefore, the Fear Volatility Gate acts as a protective mechanism.
Oberlunar 👁️⭐
RSI with Two BenchmarksRSI with Two Benchmark
Usage: To check Relative Momentum
Any Stock Chart With 2 Different Banchmarks ( It can be Nifty , Banknifty of any Index or Sector Index )
RSI Shift Zone [ChartPrime]OVERVIEW
RSI Shift Zone is a sentiment-shift detection tool that bridges momentum and price action. It plots dynamic channel zones directly on the price chart whenever the RSI crosses above or below critical thresholds (default: 70 for overbought, 30 for oversold). These plotted zones reveal where market sentiment likely flipped, helping traders pinpoint powerful support/resistance clusters and breakout opportunities in real time.
⯁ HOW IT WORKS
When the RSI crosses either the upper or lower level:
A new Shift Zone channel is instantly formed.
The channel’s boundaries anchor to the high and low of the candle at the moment of crossing.
A mid-line (average of high and low) is plotted for easy visual reference.
The channel remains visible on the chart for at least a user-defined minimum number of bars (default: 15) to ensure only meaningful shifts are highlighted.
The channel is color-coded to reflect bullish or bearish sentiment, adapting dynamically based on whether the RSI breached the upper or lower level. Labels with actual RSI values can also be shown inside the zone for added context.
⯁ KEY TECHNICAL DETAILS
Uses a standard RSI calculation (default length: 14).
Detects crossovers above the upper level (trend strength) and crossunders below the lower level (oversold exhaustion).
Applies the channel visually on the main chart , rather than only in the indicator pane — giving traders a precise map of where sentiment shifts have historically triggered price reactions.
Auto-clears the zone when the minimum bar length is satisfied and a new shift is detected.
⯁ USAGE
Traders can use these RSI Shift Zones as powerful tactical levels:
Treat the channel’s high/low boundaries as dynamic breakout lines — watch for candles closing beyond them to confirm fresh trend continuation.
Use the midline as an equilibrium reference for pullbacks within the zone.
Visual RSI value labels offer quick checks on whether the zone formed due to extreme overbought or oversold conditions.
CONCLUSION
RSI Shift Zone transforms a simple RSI threshold crossing into a meaningful structural tool by projecting sentiment flips directly onto the price chart. This empowers traders to see where momentum-based turning points occur and leverage those levels for breakout plays, reversals, or high-confidence support/resistance zones — all in one glance.
VectorTraderMBK 714 vertical linesVectorTraderMBK 714 vertical lines.
This TradingView indicator allows you to mark two customizable times on your chart with vertical red lines. Designed to work seamlessly on 5-minute timeframes, it draws precise vertical lines at the exact UTC times you specify in the indicator’s settings.
Key Features:
User-friendly inputs to set the hour and minute for two separate vertical lines
Automatically plots vertical lines at the selected UTC times every trading day
Compatible with charts set to the UTC timezone (UTC+0)
Lines extend vertically across the entire visible chart for easy visual reference
Ideal for marking important market sessions, news events, or specific trading windows
Use this indicator to visually track critical time points on your charts and improve your trading timing
How it works.
To setup the 714 Method,
1.Go to Indicator settings
2. Change Value of First Line Hour to 7
3. Change Value of Secound Line Hour to 8
4. Save as defaults.
HMA Trend Line (Croc Signal Line)HMA Trend Line (Croc Signal Line) — The Ultimate Hull Moving Average Trend Indicator
Full English description here:
What is the HMA Trend Line (Croc Signal Line)?
The HMA Trend Line (Croc Signal Line) is a powerful, adaptive trend indicator for TradingView, based on the Hull Moving Average (HMA). This indicator is designed to help traders identify real market trends with less lag and reduced noise compared to traditional moving averages like SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Why use the HMA Trend Line?
+ Faster Trend Detection: The Hull Moving Average (HMA) responds more quickly to price action, giving you earlier buy and sell signals.
+ Smoother and Cleaner: It provides a visually clean trend line that avoids the choppiness of classic EMAs and SMAs.
+ Reduced Lag: The HMA Trend Line follows the market closer, helping you avoid late entries or exits and spot trend reversals sooner.
+ Dynamic Support and Resistance: Use the line as a dynamic support or resistance to manage trades and identify pullbacks or breakouts.
What does “Croc Signal Line” mean?
The “Croc” in Croc Signal Line stands for:
+ Clean
+ Responsive
+ Optimized
+ Curve
This highlights the unique advantage of this indicator: a curve that is both fast-reacting and smooth, helping traders focus on real trends and filter out market noise.
How does the Hull Moving Average (HMA) work?
The HMA was developed by Alan Hull and uses weighted moving averages and a unique calculation to deliver both responsiveness and smoothness. Unlike standard moving averages, the HMA reacts faster to new price moves and avoids false signals in ranging or volatile markets.
How to use the HMA Trend Line (Croc Signal Line) on TradingView?
+ Watch for price crossing above the trend line for potential bullish signals, and below for bearish signals.
+ Use on any timeframe: from 1-minute scalping to daily, weekly, or even monthly charts.
+ Works with all asset classes: Forex, stocks, indices, cryptocurrencies, commodities, and futures.
+ Combine with other indicators (like Stochastics, RSI, or volume) for confirmation and to build your unique trading strategy.
+ Adjust the Signal Line Period for your market and style: shorter periods for faster markets, longer for smoother trends.
Who should use this indicator?
+ Day traders, swing traders, and long-term investors looking for reliable, actionable trend signals.
+ Anyone seeking a cleaner, more responsive alternative to the classic moving averages.
+ Traders who want a simple, visually clear way to filter out market noise and see real price direction.
Disclaimer:
This indicator is for educational and study purposes only. Please perform your own backtesting and analysis before using it in live trading. This script does not constitute financial advice. Use at your own risk.
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