Tram37 SMA calculates the average price over the last 377 periods.
SMA 37 can help identify major trends or reversals, acting as dynamic support/resistance, Useful in low-noise, trending markets. Prices may respect the SMA 377 as a dynamic level, especially in markets where Fibonacci levels are widely watched.
It works better in trending markets than in choppy or range-bound markets, where it may generate false signals.
Indicators and strategies
Bar Count for XAUThis TradingView indicator labels every other five-minute candle for XAU during the current Beijing session, which runs from 06:00 to 05:00 the next day. It shows the actual bar numbers—1, 3, 5, and so on—only for today’s session; yesterday’s labels are automatically cleared at the new open. The tags appear just below each qualifying candle with no background box, and you can adjust the font size in the settings. In short, it gives you a clean, real-time visual of intraday bar order without clutter
KeyLevelsPivotsIndicator Name: Key Levels with Pivots
This indicator identifies key support and resistance levels using pivot high and pivot low values derived from TradingView’s built-in functions (ta.pivothigh and ta.pivotlow). When a new pivot is detected, the indicator checks if a similar level—within a specified percentage threshold (for example, ±1%) of the pivot value—already exists. If no such level is present, a horizontal line is drawn at that pivot level.
The drawn level extends to the right, automatically updating until one of two conditions occurs:
A breakout takes place—defined as the price moving beyond the level by the specified percentage—and then the level is fixed (truncated) at the bar where the breakout occurred.
The level reaches a maximum age (expressed in bars, e.g., 750 bars for a daily timeframe which approximates 3 years). In this case, the level is fixed at that maximum age.
Once fixed, the level no longer updates, allowing traders to view historically significant support and resistance levels from today's date up to approximately three years back. Additionally, the indicator prevents the re-plotting of a level if a similar level already exists within the defined percentage threshold, thereby avoiding duplicate reflections of the same level unless a breakout occurs.
Two-Leg MA BreakoutBased on your indicator code, here's a suggested description for public publishing:
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# Two-Leg MA Breakout Indicator
A powerful technical analysis tool that identifies high-probability trading opportunities using a two-leg moving average breakout pattern. This indicator detects when price forms a pullback after an initial MA crossover, then continues in the original direction - a pattern that often precedes strong trend continuations.
## Key Features:
- Customizable fast and slow moving averages (EMA/LWMA options)
- Multiple filter options to improve signal quality:
- Trend filter using longer-term MA
- ADX for trend strength confirmation
- Volatility filters using ATR
- RSI momentum filter
- Volume confirmation
- Candlestick pattern validation
- Session time filtering
- Visual trade signals with customizable display options
- Supports both long and short trading strategies
- Alert conditions for automated notifications
Perfect for swing traders and trend followers looking for high-quality entry points in trending markets. The indicator identifies pullback opportunities within established trends for optimal risk/reward entries.
Developed By Sovath
MyBoxMyBox - Display Text with Customizable Position and Size
This indicator allows you to display a customizable message on your chart, with adjustable font size, position, and background color. You can input your desired message, choose the font size (small, normal, large, huge), and place it in various positions on the chart (top-left, top-center, top-right, etc.). Additionally, you can customize the background color of the box where the text is displayed.
Features:
Display a custom message on your chart (e.g., "FOMO Incoming!!").
Adjustable font size (small, normal, large, huge).
Choose from multiple position options for text placement (e.g., top-left, middle-center, bottom-right).
Customize the box background color for better visibility.
Perfect for displaying personal notes, reminders, or trading signals while analyzing the market!
[blackcat] L3 Squeeze DynamicsOVERVIEW
📈 The L3 Squeeze Dynamics indicator integrates three powerful analytical components:
🌈 Squishy Momento Indicator (SMI): Detects periods when volatility contracts/expands
🔄 Converging Band Patterns: Combines Bollinger Bands & Keltner Channel overlays
🎯 Parabolic SAR: Identifies potential reversal zones through dynamic reference lines
The system produces actionable trade alerts during critical turning points where traditional trends become compressed/squeezed.
KEY CONCEPTS EXPLAINED
Market Compression Theory
When prices consolidate within tight ranges across multiple timeframe dimensions, they're said to be experiencing a 'squeeze'. These moments often precede explosive breakout moves that follow.
Bollinger-Band Analysis
: Defines how far back we look to calculate averages
: Controls band width relative to standard deviation
→ Helps identify overextended vs contracted states
Keltner Channel Integration
: Measures average range movement
: Determines channel boundaries from True Range data
→ Provides context about trending pressure
SAR Implementation Details
: Initial push factor
: Rate of change adjustment
: Ceiling point cap
→ Tracks trend progression dynamically
TRADING STRATEGY OUTLINE
🔵 LONG ENTRY CONDITIONS:
✓ Rising squeeze dynamics reading
✓ Above centerline crossing
✓ Below VW-RSI resistance level
✓ SAR below current price zone
🔴 SHORT ENTRY REQUIREMENTS:
✗ Falling squeeze metrics
✗ Below midline penetration
✗ Through VW-RSI support barrier
✗ SAR above present rate area
🔄 EXIT MECHANISMS:
⚡ Immediate stops triggered by opposite direction breaks
♻️ Trail stops activated after initial profit targets hit
💪 Multi-bar conformation filters reduce false alarms
PRACTICAL USAGE GUIDE
INITIAL SETUP
Chart Selection: Daily minimum recommended
Timeframe Alignment: Ensure consistent intervals
Risk Parameters: Define max loss per trade upfront
DYNAMIC ADJUSTMENT
Parameter Optimization: Test various length/mult combinations
Confirmation Rules: Add secondary validations if needed
Label Management: Customize appearance as preferred
MONITORING PROCEDURES
Regularly review recent signals validity
Track win-rate statistics
Adapt thresholds based on changing market regimes
ADVANCED FEATURES BREAKDOWN
🔍 Visualization Layering:
Base Bars: Colored yellow/orange/fuchsia/purple depending on strength/direction
Reference Lines: SAR plotted as cross markers
Alert Labels: Explicitly marked positions with specific codes
⚙️ Calculation Framework:
Linear Regression Application: Smooths raw price action input
Cumulative Trend Filtering: Reduces noise via sequential logic blocks
Conditional State Machines: Handles complex state transitions between phases
🧮 Mathematical Foundation:
Standard Deviation Calculations: Quantify typical price dispersion
Weighted Average Processing: Incorporates volume influence into RSI variant
Boolean Logic Gates: Precisely define trigger scenarios
TROUBLESHOOTING TIPS
Common Issues Solutions
Frequent False Alerts Tighten parameter constraints
Delayed Entries Increase lag tolerance thresholds
Inconsistent Results Review asset-specific adjustments required
RISK MANAGEMENT RECOMMENDATIONS
📋 Essential Practices:
Position Size Control: Never exceed predetermined limits
Proper Stop Placement: Use logical breach points rather than arbitrary distances
Profit Target Planning: Set realistic objectives aligned with reward/risk ratios
Money Management Protocols: Adhere strictly to portfolio allocation guidelines
EXTENSION POTENTIALITY
Future Enhancements Could Include:
Additional Filter Layers: MACD, Stochastic integration options
Machine Learning Components: Pattern recognition improvements
Adaptive Algorithm Tuning: Self-adjusting parameters based on historical success rates
Advanced Order Execution Strategies: Bracket orders implementation possibilities
TECHNICAL DETAILS
Performance Metrics:
Computationally Efficient: Optimized for real-time processing
Memory Friendly: Minimal overhead impact on resources
Scalable Architecture: Easily modifiable core structure
Code Structure Principles:
Modular Design Approach: Separate functions handle distinct responsibilities
Clear Variable Naming Convention: Improves maintainability/readability
Comprehensive Documentation Strategy: Inline explanations guide modifications
FINAL REMARKS
This sophisticated algorithm represents years of refinement combining both fundamental principles and practical experience. While highly effective under appropriate circumstances, it's crucial to remember no single indicator guarantees profits consistently. Successful application requires disciplined execution alongside robust money management practices.
Always test thoroughly before committing capital using any automated strategies!
🌟 Happy Trading! ✅
G-Channel Strategy - Strategy with EMA FilterG-Channel Strategy with an 200 EMA, full credit of this strategy goes to Income |Nomad on youtube. the video shows you how to create the strategy.
This strategy is best used on lower timer frames, the 1 min, 3 min or 5 min time frame.
Dont trade this strategy in a ranging market, it doesnt work well.
Small Cap Momentum Entry System✅ Features Included:
Momentum entry detection
Trailing stop overlay
Alert for entry and exit
Pre-market high line (optional display toggle)
Dual-Phase Trend Regime Oscillator (Zeiierman)█ Overview
Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility.
By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in —Bullish or Bearish —and how that regime reacts to market volatility.
█ Its Uniqueness
Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases.
Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time.
█ How It Works
⚪ Volatility State Engine
Calculates returns-based volatility using standard deviation of price change
Smooths the current volatility with a moving average
Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones
Dynamically assigns the chart to one of two internal volatility regimes: Low or High
⚪ Dual Oscillators
In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother)
In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive)
Both oscillators use price-time correlation as a measure of directional strength
The output is normalized between 0 and 1, allowing for consistent interpretation
⚪ Trend Regime Classification
The active oscillator is compared to a neutral threshold (0.5)
If above: Bullish Regime, if below: Bearish Regime, else: Neutral
The background and markers update to reflect regime changes visually
Triangle markers highlight bullish/bearish regime shifts
█ How to Use
⚪ Identify Current Trend Regime
Use the background color and chart table to immediately recognize whether the market is trending up or down.
⚪ Trade Regime Shifts
Use triangle markers (▲ / ▼) to spot fresh regime entries, which are ideal for confirming breakouts within trends.
⚪ Pullback Trading
Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it — this often signals a potential pullback entry in the direction of the prevailing trend.
█ Settings Explained
Length (Slow Trend Oscillator) – Used in calm conditions. Longer = smoother signals
Length (Fast Trend Oscillator) – Used in volatile conditions. Shorter = more responsive
Volatility Refit Interval – Controls how often the system recalculates Low/High volatility levels
Current Volatility Period – Lookback used for immediate volatility measurement
Volatility Smoothing Length – Applies an SMA to the raw volatility to reduce noise
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
1-Candle Order Block DetectorThis simple indicator is based on the 1-Candle rule. During an impulsive move toward the upside or downside, an order block is plotted based on a single down-closed or up-closed candle.
Inputs can be easily customized based on preferences or strength of trend filtering.
15-Min Candlestick StrategyThis strategy combines the MACD (Moving Average Convergence Divergence) indicator with the 200 EMA (Exponential Moving Average) to identify trend-confirmed entry signals on the 15-minute timeframe.
📊 Logic:
The 200 EMA acts as a trend filter:
Only long trades are taken when price is above the EMA
Only short trades are taken when price is below the EMA
MACD crossovers provide the trade signals:
Bullish crossover (MACD crosses above Signal) = Long entry (if above 200 EMA)
Bearish crossover (MACD crosses below Signal) = Short entry (if below 200 EMA)
Trades are exited when the MACD crosses in the opposite direction or price closes on the wrong side of the 200 EMA.
✅ Features:
Simple trend-following logic with momentum confirmation
Works on any asset (Forex, Crypto, Stocks) and optimized for 15m charts
Backtestable and compatible with PineConnector for live algo trading
Ideal for traders seeking a clean and effective MACD-based strategy that avoids counter-trend setups.
Premium Lux AlgoCombining multiple indicators to receive buy and sell signals and create support and resistance levels and cloud space
Global Liquidity IndexThis indicator tracks worldwide liquidity by aggregating the sum of the global M2 money supply, and major central bank balance sheets and subtracting the U.S. Treasury General Account (TGA), the Federal Reserve’s Reverse Repo (RRP) facility. It offers insight into the overall liquidity environment, often a key driver of risk asset performance.
Custom MACD//@version=5
indicator("Custom MACD", overlay=false)
fastLength = input.int(8, title="Fast EMA Length")
slowLength = input.int(21, title="Slow EMA Length")
signalSmoothing = input.int(5, title="Signal Smoothing")
= ta.macd(close, fastLength, slowLength, signalSmoothing)
plot(macdLine, color=color.blue, title="MACD Line")
plot(signalLine, color=color.red, title="Signal Line")
plot(histLine, style=plot.style_histogram, color=histLine >= 0 ? color.green : color.red, title="Histogram")
Fakeout Filter📈 Fakeout Filter by ARV
🔍 Overview:
The Fakeout Filter is a smart breakout validation tool designed to help traders avoid false breakouts and focus only on high-probability breakout trades. This indicator combines price action, volume analysis, RSI divergence detection, and OBV trend confirmation to filter out noise and improve your entries.
⚙️ Key Features:
✅ Breakout Detection
Detects when the price closes above a user-defined resistance level.
✅ Volume Spike Confirmation
Confirms breakouts only if there’s a significant increase in volume (customizable via settings).
✅ RSI Bearish Divergence Filter
Warns you of bearish RSI divergence, which often signals fakeouts during breakouts.
✅ OBV Trend Confirmation
Ensures On-Balance Volume (OBV) is rising, aligning volume flow with price movement.
✅ EMA Filter (Trend Confirmation)
Adds a safety filter using Exponential Moving Average (EMA) to ensure price action aligns with the short-term trend.
📌 How to Use:
Set Resistance Level:
In the indicator settings, input a key resistance level (manual input based on your chart analysis).
Watch for Signals:
A green background and “Breakout” label appear when:
Price closes above the resistance.
Volume is significantly higher than average.
OBV is rising.
No bearish RSI divergence is detected.
Price is above the EMA (trend confirmation).
Entry Suggestion:
Consider entering long positions only when the breakout label appears.
For additional confirmation, wait for a retest of the resistance as support before entering.
🔧 Settings:
Resistance Level – Manually set the level you're watching.
Volume Multiplier – Adjusts sensitivity to volume spikes (default: 1.5x average).
RSI Period – RSI used for divergence detection (default: 14).
EMA Period – For trend direction confirmation (default: 21).
✅ Best Use Cases:
Scalpers and intraday traders avoiding fakeouts on 5m–1H timeframes.
Swing traders validating breakout setups.
BTC, ETH, and major altcoins in consolidation or breakout zones.
⚠️ Disclaimer:
This tool is for educational purposes only. Always combine it with your own market analysis and risk management.
DDDDD: EBP Strategy (Improved with ATR & Filters) - Long OnlyDDDDD: EBP Strategy (Improved with ATR & Filters) - Long Only
This strategy is a refined version of the classic Engulfing Bar Play (EBP), designed specifically for XAUUSD on the 1-Day timeframe. It identifies high-probability bullish reversal setups using daily engulfing patterns and applies smart filters to enhance performance and reduce false signals.
🔍 Core Features:
✅ Bullish Engulfing Bar Detection
📈 Risk:Reward (R:R) ratio configurable (default 2:1)
📉 ATR Filter to avoid low-volatility sideways zones
🟠 EMA200 Filter to trade only in uptrends (optional)
📌 Recommended Use:
Asset: Gold Spot (XAUUSD)
Timeframe: 1D (Daily) only
Backtested Range: Proven results with over +300% cumulative return on daily charts (as shown in Strategy Tester)
⚠️ This strategy is meant for directional bias and swing entries. Use with proper money management and always confirm with additional confluences if needed.
3-Candle Pattern StrategyBuy Conditions:
Candle 2 bars ago: close > open
Previous candle: close < open
Current candle: close > open
Current candle: (high - close) < (high - low) * 0.15
Current candle: volume > previous volume
Sell Conditions:
Candle 2 bars ago: close < open
Previous candle: close > open
Current candle: close < open
Current candle: (close - low) < (high - low) * 0.15
Current candle: volume > previous volume
Synthesized Ichimoku + Global M2 DeltaCombined my point tangent ichimoku indicator with my global M2 time lag delta indicator.
How it works:
(1) select time lag range for M2 (Lag 1 & Lag 2)
(2) select width of M2 range (Scalar Multiplier)
(3) select ichimoku values: tenkan, kijun, senkou, time displacement, smoothing
Default values are what I use to track BTCUSD on the daily chart.
If you want to track other assets I recommend tinkering with the variables until it makes sense.
Coloration is determined by whether:
m2_diff > 0 or m2_diff < 0
senkou_a_new > senkou_b_new
Bright green: strong accumulation zone
Bright red: strong sell zone
Dim green: weak accumulation zone
Dim red: weak sell zone
Vol Spike + Super Trend by Ralpinoy
DESCRIPTION:
A combination of trend indicators in one with and Volume Spikes and some personal touch
A trend-following band built off w ATR. When price closes above the upper band, it flips “Bullish,” and when it closes below the lower band, it flips “Bearish.”
Always remember that the Green Band (UP trending) "TATAAS ang price in Tagalog" then when the Red band its (DOWN Trending) "PAGBABA".
Buy signal when the band flips from red → green; Sell signal when it flips green → red.
Flags bars where volume is “X times” above its moving average.
Additional filters (local highs/lows, hammer/shooter candles, same-color closes) let you only highlight truly significant volume bursts.
Bullish spike = orange circle below bar; Bearish spike = orange circle above bar.
HOW DOES THIS WORKS
ATR & Bands:
The script computes a smoothed ATR.
Upper band = (HL2 − Multiplier·ATR), Lower band = (HL2 + Multiplier·ATR).
Bands “trail” price, flipping direction only on a clear close beyond them—this helps keep you in strong trends and avoids whipsaws.
TREND LOGIC
A simple state variable (trend) holds +1 or –1.
When price closes above the prior lower-band, trend flips to +1; when it closes below the prior upper-band, it flips to –1.
Volume Spike Logic:
volume > MA(volume)×Multiplier flags extreme activity.
Optional “only valid highs & lows,” “only hammers/shooters,” and “same-color” filters give you cleaner, more actionable spikes.
READING THE SIGNALS
Stay long while SuperTrend is green.
Stay short (or stay out of longs) while SuperTrend is red.
Entry Triggers
Buy: SuperTrend flips red→green and prints a “GREEN DOT” label on the band.
Sell: SuperTrend flips green→red and prints a “RED DOT” label.
Volume Spike Confluence
A bullish volume spike (circle below bar) near a SuperTrend flip adds conviction to a long entry.
A bearish volume spike near a down-trend flip adds conviction to a short.
Exits & Stops
A common stop-loss is just beyond the opposite SuperTrend band.
You can also exit when the SuperTrend flips back (i.e. you trade only from flip→next flip).
BEST PRACTICES AND APPLICATIONS
Timeframes: SuperTrend is reliable on 1 H, 4 H, Daily charts. On 1 min/5 min, increase the ATR period or multiplier to reduce noise.
Multipliers:
ATR Multiplier 2–3 for faster flips, 4–5 for more conservative signals.
Volume Multiplier 1.5–2 for catching strong spikes, higher for only extreme activity.
Load the script and toggle only the SuperTrend on. Watch how it trails price.
Activate volume spikes and see which bars light up—note whether they line up with trend flips.
Practice on a demo account: enter on the flip + a confirming volume spike, stop just beyond the opposite band, and target a multiple of your risk ex.x2 (just do it)
With this combo you get a visual, rules-based trend system plus a volume filter to help you catch powerful, momentum-backed moves.
Enjoy, and let me know how does it works for you! Dont be shy to like and comment this indicator, Ralpinoy
ICT Macro Zone Boxes w/ Individual H/L Tracking v3.1ICT Macro Zones (Grey Box Version
This indicator dynamically highlights key intraday time-based macro sessions using a clean, minimalistic grey box overlay, helping traders align with institutional trading cycles. Inspired by ICT (Inner Circle Trader) concepts, it tracks real-time highs and lows for each session and optionally extends the zone box after the session ends — making it a precision tool for intraday setups, order flow analysis, and macro-level liquidity sweeps.
### 🔍 **What It Does**
- Plots **six predefined macro sessions** used in Smart Money Concepts:
- AM Macro (09:50–10:10)
- London Close (10:50–11:10)
- Lunch Macro (11:30–13:30)
- PM Macro (14:50–15:10)
- London SB (03:00–04:00)
- PM SB (15:00–16:00)
- Each zone:
- **Tracks high and low dynamically** throughout the session.
- **Draws a consistent grey shaded box** to visualize price boundaries.
- **Displays a label** at the first bar of the session (optional).
- **Optionally extends** the box to the right after the session closes.
### 🧠 **How It Works**
- Uses Pine Script arrays to define each session’s time window, label, and color.
- Detects session entry using `time()` within a New York timezone context.
- High/Low values are updated per bar inside the session window.
- Once a session ends, the box is optionally closed and fixed in place.
- All visual zones use a standardized grey tone for clarity and consistency across charts.
### 🛠️ **Settings**
- **Shade Zone High→Low:** Enable/disable the grey macro box.
- **Extend Box After Session:** Keep the zone visible after it ends.
- **Show Entry Label:** Display a label at the start of each session.
### 🎯 **Why This Script is Unique**
Unlike basic session markers or colored backgrounds, this tool:
- Focuses on **macro moments of liquidity and reversal**, not just open/close times.
- Uses **per-session logic** to individually track price behavior inside key time windows.
- Supports **real-time high/low tracking and clean zone drawing**, ideal for Smart Money and ICT-style strategies.
Perfect — based on your list, here's a **bundle-style description** that not only explains the function of each script but also shows how they **work together** in a Smart Money/ICT workflow. This kind of cross-script explanation is exactly what TradingView wants to see to justify closed-source mashups or interdependent tools.
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📚 ICT SMC Toolkit — Script Integration Guide
This set of advanced Smart Money Concept (SMC) tools is designed for traders who follow ICT-based methodologies, combining liquidity theory, time-based precision, and engineered confluences for high-probability trades. Each indicator is optimized to work both independently and synergistically, forming a comprehensive trading framework.
---
First FVG Custom Time Range
**Purpose:**
Plots the **first Fair Value Gap (FVG)** that appears within a defined session (e.g., NY Kill Zone, Custom range). Includes optional retest alerts.
**Best Used With:**
- Use with **ICT Macro Zones (Grey Box Version)** to isolate FVGs during high-probability times like AM Macro or PM SB.
- Combine with **Liquidity Levels** to assess whether FVGs form near swing points or liquidity voids.
---
ICT SMC Liquidity Grabs and OB s
**Purpose:**
Detects **liquidity grabs** (stop hunts above/below swing highs/lows) and **bullish/bearish order blocks**. Includes optional Fibonacci OTE levels for sniper entries.
**Best Used With:**
- Use with **ICT Turtle Soup (Reversal)** for confirmation after a liquidity grab.
- Combine with **Macro Zones** to catch order blocks forming inside timed macro windows.
- Match with **Smart Swing Levels** to confirm structure breaks before entry.
ICT SMC Liquidity Levels (Smart Swing Lows)
**Purpose:**
Automatically marks swing highs/lows based on user-defined lookbacks. Tracks whether those levels have been breached or respected.
**Best Used With:**
- Combine with **Turtle Soup** to detect if a swing level was swept, then reversed.
- Use with **Liquidity Grabs** to confirm a grab occurred at a meaningful structural point.
- Align with **Macro Zones** to understand when liquidity events occur within macro session timing.
ICT Turtle Soup (Liquidity Reversal)
**Purpose:**
Implements the classic ICT Turtle Soup model. Looks for swing failure and quick reversals after a liquidity sweep — ideal for catching traps.
Best Used With:
- Confirm with **Liquidity Grabs + OBs** to identify institutional activity at the reversal point.
- Use **Liquidity Levels** to ensure the reversal is happening at valid previous swing highs/lows.
- Amplify probability when pattern appears during **Macro Zones** or near the **First FVG**.
ICT Turtle Soup Ultimate V2
**Purpose:**
An enhanced, multi-layer version of the Turtle Soup setup that includes built-in liquidity checks, OTE levels, structure validation, and customizable visual output.
**Best Used With:**
- Use as an **entry signal generator** when other indicators (e.g., OBs, liquidity grabs) are aligned.
- Pair with **Macro Zones** for high-precision timing.
- Combine with **First FVG** to anticipate price rebalancing before explosive moves.
---
## 🧠 Workflow Example:
1. **Start with Macro Zones** to focus only on institutional trading windows.
2. Look for **Liquidity Grabs or Swing Sweeps** around key highs/lows.
3. Check for a **Turtle Soup Reversal** or **Order Block Reaction** near that level.
4. Confirm confluence with a **Fair Value Gap**.
5. Execute using the **OTE level** from the Liquidity Grabs + OB script.
---
Let me know which script you want to publish first — I’ll tailor its **individual TradingView description** and flag its ideal **“Best Used With” partners** to help users see the value in your ecosystem.
Price Change Sentiment Index [tradeviZion]Price Change Sentiment Index
A technical indicator that measures price changes relative to the day's range.
Indicator Overview
Normalizes price changes on a 0-100 scale
Uses a smoothing period for signal clarity
Shows potential overbought/oversold conditions
Inputs
Smoothing Period (default: 3)
Show Background Colors (on/off)
Overbought Level (default: 75)
Oversold Level (default: 25)
Reading the Indicator
Values above 75: Price change showing strong upward movement
Values below 25: Price change showing strong downward movement
Around 50: Neutral price movement
Technical Details
// Core calculation
changePct = (currClose - prevClose) / (high - low)
normalized = 50 + (changePct * 50)
smoothedNormalized = ta.sma(normalizedClamped, smoothingPeriod)
Usage Notes
Best used with other technical analysis tools
Adjustable smoothing period affects signal sensitivity
Background colors highlight extreme readings
Works on any timeframe
Settings Guide
Smoothing Period:
- Lower values (1-3): More responsive
- Higher values (5-10): Smoother output
Visual Settings: Toggle background colors
Levels: Adjust overbought/oversold thresholds
This indicator is a technical analysis tool. Please conduct your own research and testing before use.