Breakout Targets [AlgoAlpha]🟠 OVERVIEW
This script identifies consolidation zones and provides automated breakout targets with risk management levels. It focuses on finding periods where price action compresses and then tracks the subsequent breakout from these ranges. When a price breakout is confirmed, the script automatically projects three take-profit (TP) levels and a stop-loss (SL) based on current market volatility. This helps traders move from identifying a range to executing a trade with predefined exit points without manual calculation.
🟠 CONCEPTS
The script uses a relationship between Weighted Moving Averages (WMA) and Exponential Moving Averages (EMA) of price ranges to detect consolidation. When these moving averages cross, it triggers the detection of recent pivot highs and lows to draw a visual "box" or channel. This channel represents the current trading range. Once price closes outside this box, the script uses the Average True Range (ATR) to determine the volatility-adjusted distance for the stop loss. The take-profit levels are then calculated as multiples of this risk distance, ensuring a consistent reward-to-risk approach.
🟠 FEATURES
Dynamic box drawing that highlights potential supply and demand zones within the range.
Real-time breakout signals with bullish (green) and bearish (red) markers.
Automated trade projection including Entry, SL, and three TP levels.
Integrated alert system for breakouts and hits on any profit or loss target.
🟠 USAGE
Setup : Add the script to your chart and adjust the "Range Detection Period." A higher period will find larger, more significant ranges, while a lower period will find smaller, short-term consolidation zones.
Read the chart : Look for the grey boxes on your chart; these represent areas where the market is "coiling." A green arrow label indicates a bullish breakout from the top of the box, while a red arrow indicates a bearish breakout from the bottom. Once a breakout occurs, follow the projected horizontal levels for your trade management.
Settings that matter : The Stop Loss ATR Multiplier is the most critical setting for risk; increasing it will give the trade more room to breathe but will also push your TP levels further away. The Prevent Overlap toggle is useful for keeping the chart clean by ensuring the script doesn't draw new boxes until the current range has been resolved.
지표 및 전략
Std Dev Zones MTFStd Dev Zones MTF Key Features Overview
• ⭐ Built using ADR10 (Average Daily Range) logic to measure volatility-based standard deviation zones from timeframe open.
• ⚙️ ADR10 STD DEV Zones Pine v6 — MTF support for Daily, H4, H8, H12 timeframes for multi-timeframe volatility analysis.
• 📦 Dynamic zones calculated from period open (Daily/H4/H8/H12) using average range = clean, objective volatility structure.
• 📊 ±0.5 SD zones = neutral territory — price within normal range from open.
• 📈 +0.75 SD & +1.0 SD = OVERBOUGHT zones — price extended above normal range, potential exhaustion or reversal area.
• 📉 -0.75 SD & -1.0 SD = OVERSOLD zones — price extended below normal range, potential exhaustion or reversal area.
• 🔥 +1.25 SD = MAX OVERBOUGHT — extreme extension above open, highest volatility threshold for exits/profit-taking.
• 🧊 -1.25 SD = MAX OVERSOLD — extreme extension below open, highest volatility threshold for exits/profit-taking.
• 🧠 Adjustable zone thickness (% of ADR10) so zones scale with market volatility — perfect for Gold, Forex, Crypto swings.
• 🎨 Color-coded zones with large labels inside each zone for instant visual clarity — no interpretation lag.
• 🧭 Zones extend throughout the trading period so you can track price behavior relative to volatility bands.
• 🟩🟪 Dual color system for upper/lower zones + descriptive labels - zero confusion on market extension.
• 🧼 Clean overlay display: zones + open line = actionable, minimal, fast volatility assessment.
• ⭐ Apply to your M15/M30/H1/H4 TradingView chart — your volatility roadmap for Gold, FX, Crypto, Indices.
• 🚀 Use for exit planning & take-profit levels at overbought/oversold extremes — NOT for standalone entry signals.
• 📦 Enable/Disable individual zone levels (±0.5, ±0.75, ±1.0, ±1.25) to customize your chart view.
• 📦 Too cluttered? Adjust "Periods to Show" or increase zone thickness % from settings.
• 🎯 How to use this? Monitor price behavior at overbought/oversold zones for potential reversals or continuations. Use Max Overbought/Oversold levels for aggressive profit-taking. Combine with your entry system for complete trade management.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to measure market volatility and identify potential exit/take-profit zones. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy to assess overbought/oversold conditions and plan exits.
NQ
GBPUSD
BTCUSD
Crypto PCA [LuxAlgo]The Crypto PCA indicator provides a sophisticated, multi-asset sentiment gauge by applying Principal Component Analysis (PCA) to a basket of the top 20 cryptocurrencies.
By extracting the primary driver of variance across these assets, the tool offers a "market-wide" oscillator that filters out individual coin noise to highlight the dominant trend and sentiment shifts in the crypto space.
In modern quantitative finance, PCA is used to reduce dimensionality and identify the underlying factors that move a group of assets. This indicator brings that institutional-grade approach to the retail trader, condensing the price action of Bitcoin, Ethereum, Solana, and 17 other majors into a single, actionable signal.
🔶 USAGE
The script serves as a macro-sentiment oscillator, allowing traders to see the "hidden" force driving the crypto market. It is designed to identify when the market is moving in unison and when that collective movement has reached an extreme.
🔹 Identifying Market Regimes
The primary use of the PCA line (PC1) is to determine the current market regime. When the oscillator is above the zero line and colored green, it indicates that the majority of the top 20 assets are experiencing positive variance, signaling a broad bullish regime. Conversely, when the line is below zero and colored red, the market is in a collective bearish state. Traders can use this to align their individual trades with the direction of the total market energy.
🔹 Using Snapshot Mode for Situational Analysis
While the continuous mode is ideal for long-term trend following, the Snapshot Mode provides a focused view of market dynamics over the most recent lookback window. This mode isolates the current sentiment cycle, allowing traders to see the specific trajectory and "shape" of the latest move without the influence of older historical data.
By enabling Snapshot Mode, you can analyze the immediate internal structure of the market. It is particularly useful for identifying whether a recent pump or dump is a coordinated market-wide event or a more fragmented move. This helps in distinguishing between a broad structural shift and a temporary volatility spike.
🔹 Spotting Overextended Sentiment
The indicator includes dashed horizontal lines at +2 and -2, representing standard deviation thresholds. Because the assets are standardized before calculation, these levels mark statistical extremes.
Overbought Extremes: When the PCA line exceeds +2, the broad market is significantly overextended to the upside. This often precedes a cooling-off period or a mean-reversion event across the entire sector.
Oversold Extremes: When the PCA line drops below -2, it suggests a "panic" or exhausted selling state across the basket. This can signal potential bottoming interest or a relief rally.
🔹 Gauging Relative Strength
The faint "ghost" lines in the background represent the individual standardized price paths of the 20 included assets. By comparing these to the main PCA line, traders can identify leaders and laggards. An asset line that stays consistently above the PCA line during a rally is exhibiting relative strength, while an asset trailing below the PCA line is underperforming the market average.
🔶 DETAILS
The indicator follows a rigorous mathematical pipeline to ensure the data is statistically significant and comparable across assets with different price scales.
🔹 Standardization (Z-Scores)
Before performing PCA, every asset must be on the same scale. The script converts the price of all 20 assets into Z-scores based on the user-defined Lookback Period. A Z-score tells us how many standard deviations a price is from its mean. This allows the movement of a high-priced asset like BTC to be mathematically compared to a lower-priced asset like PEPE.
🔹 The Basket & PCA Approximation
The indicator includes the following assets: BTC, ETH, BNB, XRP, SOL, TRX, DOGE, ADA, BCH, WBTC, XLM, LTC, HBAR, LINK, AVAX, PEPE, DOT, UNI, NEAR, and ICP.
The script uses a correlation-based approximation to find the First Principal Component. It calculates the correlation of each asset to the equally weighted basket and uses these correlations as "loadings" to compute the PC1. This ensures that assets moving in sync with the general market trend are given higher priority in the final oscillator value.
🔹 Why PCA?
Most "Crypto Indices" are simply weighted averages. PCA is superior because it identifies the commonality between assets. If 18 coins are moving up and 2 are moving down, PCA gives more weight to the 18 moving together, as they represent the "Principal Component" of the market's current energy.
🔶 SETTINGS
🔹 Main Settings
Lookback Period (N): Determines the window used for Z-score standardization and PCA calculation. A shorter period makes the indicator more reactive, while a longer period identifies macro-cycle shifts.
Z-Score Smoothing: Applies a Simple Moving Average (SMA) to the standardized asset values before the PCA calculation. This effectively filters out high-frequency noise and produces a smoother principal component line, which is useful for reducing false regime shifts in volatile markets.
Enable Snapshot Mode: Switches the visual output from a continuous rolling line to a static view of the PCA over the most recent lookback window.
🔹 Visual Settings
Standardized Assets Color: Controls the color and transparency of the 20 individual asset lines.
Bull/Bear Colors: Defines the colors used for positive and negative market sentiment.
Disclaimer: This indicator is a statistical tool for sentiment analysis and does not constitute financial advice. The PCA approach measures variance and correlation, not guaranteed future direction.
NQ Statistical MapperNQ Statistical Mapper
CRITICAL DISCLAIMER - READ FIRST
WARNING: THIS INDICATOR IS EXCLUSIVELY FOR NQ (NASDAQ-100 E-MINI FUTURES) ONLY
All statistics displayed in this indicator are HARD-CODED values derived from a comprehensive analysis of 12 years (2013-2025) of 1-minute NQ futures data. These statistics are calculated offline using Python and embedded directly into the indicator code.
These probabilities DO NOT apply to any instrument other than NQ
What This Indicator Does
The NQ Statistical Mapper is a data-driven trading tool that displays historical probability statistics for intraday NQ price behavior based on overnight session structure and opening positioning. Rather than generating signals, it provides context by showing:
Three trading sessions with visual boxes: Asia (8PM-2AM), London (2AM-8AM), and New York (8AM-4PM) Eastern Time
Key price levels with historical hit rate percentages showing the probability these levels are touched during the NY cash session (8AM-4PM)
Context-aware statistics that change based on current market conditions
Session range analysis showing whether Asia and London ranges are unusually large or small compared to recent history
Core Methodology and Statistical Foundation
Pattern Detection System
The indicator automatically detects one of four overnight session patterns based on how the London session (2AM-8AM) interacts with the Asia session (8PM-2AM):
London Engulfs Asia: London high is greater than Asia high AND London low is less than Asia low
Asia Engulfs London: Asia high is greater than or equal to London high AND Asia low is less than or equal to London low
London Partial Up: London high is greater than Asia high BUT London low is greater than or equal to Asia low (took out Asia high only)
London Partial Down: London low is less than Asia low BUT London high is less than or equal to Asia high (took out Asia low only)
Each pattern has distinct statistical characteristics that influence NY session behavior.
Conditional Probability Framework
The indicator uses a conditional probability approach where statistics adapt based on:
Primary Condition: Where does NY open (8:00 AM) relative to the London session midpoint?
"NY opens above London midpoint"
"NY opens below London midpoint"
This single condition dramatically changes the probabilities. For example:
When NY opens above London midpoint: 76.68% chance NY hits the London high before the London low during 8AM-4PM
When NY opens below London midpoint: 73.32% chance NY hits the London low before the London high during 8AM-4PM
Secondary Condition: The overnight pattern further refines these probabilities. Each combination of "NY position vs London midpoint" plus "overnight pattern" has unique hit rate statistics calculated from the 12-year dataset.
"Hit First" Statistics Explained
The table displays "Hit High First" and "Hit Low First" percentages. These answer the question: "During the NY cash session (8AM-4PM), if price eventually touches both the London high AND London low, which one does it touch FIRST?"
Example interpretation:
Hit High First: 76.68% means that in 76.68% of historical days with this setup, price touched the London high before touching the London low
Hit Low First: 22.48% means London low was touched first
The remaining approximately 1% represents days where neither level was hit during the NY session
This is fundamentally different from asking "will price go up or down" - it is about the sequence of range expansion during the NY session.
Displayed Levels and Their Meanings
Session Highs/Lows (Solid Lines)
These appear when each session completes and extend through the NY session:
Asia High/Low (Orange): The highest and lowest prices during 8PM-2AM EST
London High/Low (Blue): The highest and lowest prices during 2AM-8AM EST
Each level shows its hit rate percentage - the probability that NY session price (8AM-4PM) will touch that level, based on the current pattern and NY opening position.
Hourly Midpoint Levels (Dashed Gray Lines)
Three specific hourly levels with remarkably high hit rates:
7-8 AM Midpoint: Average of high and low during the 7-8 AM hour. Hit rates consistently above 93-94%, essentially sitting at the 8 AM open price (mean distance: -0.001%)
Midnight Open: The opening price at midnight EST. Hit rates vary from 62-87% depending on pattern and setup
2-3 AM Midpoint: Average of high and low during the 2-3 AM hour. Hit rates range from 67-92%
These levels are derived from mean-reversion behavior - price tends to revisit certain overnight reference points during the NY session.
Session Midpoints (Dotted Lines)
Optional display of Asia and London session midpoints. These lines terminate when their respective sessions end, providing additional reference levels for session positioning.
Statistics Table Breakdown
The table displays five sections of information:
1. SETUP Section
Shows whether "NY opens above/below London midpoint"
Displays the detected overnight pattern (1 of 4 types)
Sample size: Number of historical days matching this exact setup
Hit High First / Hit Low First: Directional bias percentages
2. HIT RATES (8AM-4PM) Section
Shows probability that each level gets touched at any point during the NY cash session:
7-8 AM Midpoint: Almost always touched (93-97% depending on pattern)
Midnight Open: Varies significantly (62-87%) based on whether the overnight pattern is aligned or contrary to NY's opening position
2-3 AM Midpoint: Strong hit rates (67-92%)
These are independent probabilities - they do not predict which is hit first, just whether each level gets visited.
3. ASIA RANGE Section
Real-time comparison of today's Asia session range versus recent history:
Sessions Captured: Shows how many sessions are in the rolling calculation (e.g., "18 / 50" = 18 sessions captured out of 50 requested). This alerts users if their chart history is insufficient
Current Range: Today's Asia high minus Asia low in points
Mean Range: Average range over the captured sessions
Percentile Rank: Where today's range falls in the distribution
80th percentile (red background): Unusually large range - top 20% of days
60-80th percentile (light gray): Above average
20-60th percentile (white): Normal range
Less than 20th percentile (light blue): Unusually small range - bottom 20% of days
4. LONDON RANGE Section
Identical structure to Asia Range section, analyzing the London session's range characteristics.
Why Percentile Rank Instead of Standard Deviation?
Intraday ranges exhibit right-skewed distributions with fat tails (volatility spikes create extreme outliers). Percentile rank is distribution-free and robust to these characteristics, providing more reliable identification of unusual ranges than z-scores or standard deviations.
How To Use This Indicator
For Context and Confluence
This is not a standalone trading system. The indicator provides statistical context to support other analysis:
Understanding Session Bias: If the table shows 76% probability of hitting the session high first, you know there is a statistical lean toward upside range expansion
Target Setting: If trading a breakout above the overnight high, knowing that Asia high gets hit 75% of the time helps assess target viability
Entry Timing: The 7-8 AM midpoint's 94% hit rate makes it an excellent re-entry or scaling level
Range Expansion Assessment: Percentile rankings help identify whether overnight sessions showed abnormal volatility, which may influence NY session behavior
Pattern-Specific Insights
London Partial Up plus NY Opens Below London Midpoint:
Midnight open hit rate jumps to 87.82% (strong mean reversion)
Suggests counter-trend reversal back toward overnight lows is likely
London Partial Down plus NY Opens Above London Midpoint:
Midnight open hit rate is 86.30%
Mirror pattern - reversion toward overnight highs
Asia Engulfs London Pattern:
Very high hit rates (85-98%) across all levels
Suggests consolidation/mean reversion during NY session rather than directional expansion
Typical Workflow
8:00 AM: Review the statistics table - which pattern occurred? Where did NY open relative to London midpoint?
Check Hit Rates: Note which levels have the highest probabilities of being touched
Assess Range Percentiles: Are Asia/London ranges unusually large or small? High percentiles may indicate already-extended ranges
Combine With Your Strategy: Use the statistics as confluence with your technical analysis, support/resistance, or order flow
Customization Options
Trading Sessions Settings
Session Visualization:
Toggle each session on/off independently
Customize colors for each session (New York, London, Asia)
Adjust background transparency using "Range Area Transparency" slider (0-100, default 90)
Show/hide session outlines with "Range Outline" checkbox
Each session has three customizable parameters on the same line:
Checkbox to enable/disable the session
Text field to rename the session label if desired
Color picker to select the session's display color
Hit Rate Levels Settings
Master Controls:
"Show Hit Rate Levels" - Master toggle to show or hide all level lines and labels
Individual Level Toggles:
"7-8 AM Midpoint" - Toggle the 7-8 AM hour midpoint level
"Midnight Open" - Toggle the midnight opening price level
"2-3 AM Midpoint" - Toggle the 2-3 AM hour midpoint level
Hourly Level Styling (applies to 7-8 AM Mid, Midnight, and 2-3 AM Mid):
"Hourly Level Color" - Color picker for all three hourly levels
"Hourly Level Line Width" - Thickness of hourly level lines (1-5, default 1)
"Hourly Level Line Style" - Choose between Solid, Dashed, or Dotted lines (default Dashed)
Session High/Low Styling (applies to Asia High/Low and London High/Low):
"Session High/Low Line Width" - Thickness of session extreme lines (1-5, default 1)
"Session High/Low Line Style" - Choose between Solid, Dashed, or Dotted lines (default Solid)
Additional Options:
"Show Session Midpoints" - Toggle display of Asia and London midpoint reference lines (dotted lines that end when each session completes)
"Label Text Size" - Size of percentage labels on all levels (tiny, small, normal, large, default small)
Table Settings
Statistics Table Controls:
"Show Statistics Table" - Master toggle to display or hide the entire statistics table
"Stats Table Position" - Choose from 9 positions on the chart:
Top: Top Left, Top Center, Top Right
Middle: Middle Left, Middle Center, Middle Right
Bottom: Bottom Left, Bottom Center, Bottom Right
"Stats Table Size" - Text size within the table (Auto, Tiny, Small, Normal, Large, Huge, default Small)
"Sessions for Stats Calculation" - Number of historical sessions to use for percentile calculations (5-100, default 50)
Lower values (20-30): More responsive to recent market conditions
Higher values (50-100): More stable baseline, requires more chart history
The table displays "Sessions Captured" to show how many sessions were actually available
Important Limitations and Considerations
1. This Is Historical Data, Not Prediction
The statistics show what happened in the past given similar setups. Markets evolve, regimes change, and past probability does not guarantee future outcomes. A 75% hit rate means that in 25% of historical cases, the level was NOT hit.
2. Chart History Requirements
TradingView imposes data limits:
5-minute chart: Approximately 10 days of history (enough for minimal statistics)
1-minute chart: Approximately 2-3 days of history (insufficient for percentile calculations)
Use 5-minute or higher timeframes to ensure adequate session capture
The table displays "Sessions Captured" (e.g., 18/50) to alert you when your chart history is limited.
3. Session Timing Is Fixed (EST)
All sessions use America/New_York timezone:
Asia: 8PM-2AM
London: 2AM-8AM
NY: 8AM-4PM
These times do not adjust for daylight saving changes in other regions. The definitions match CME NQ futures trading hours.
4. The Statistics Are From 2013-2025 Data
The 12-year analysis period includes:
Multiple market regimes (bull/bear/sideways)
Various volatility environments
QE, taper tantrums, COVID, 2022 bear market, 2023-2024 rally
However, it is still a limited sample. Future market structure changes (algorithmic trading evolution, regulatory changes, etc.) may alter these probabilities over time.
5. No Real-Time Calculation
This indicator does not recalculate statistics based on your chart's data. It displays pre-calculated probabilities. The only real-time calculations are:
Which pattern occurred today
Where NY opened relative to London midpoint
Current session ranges and their percentile ranks (based on your chart's recent history)
Statistical Methodology Details
Data Source
Instrument: NQ (Nasdaq-100 E-mini Futures) continuous contract
Timeframe: 1-minute bars
Period: January 2013 - January 2025 (12 years)
Sample Size: 3,132 trading days analyzed
Analysis Approach
Each trading day was classified by overnight pattern (4 types). NY opening position vs London midpoint was determined. For each combination (4 patterns times 2 positions equals 8 scenarios), the following was measured:
How often each level (session highs/lows, hourly midpoints) was touched during 8AM-4PM
Which session extreme (high or low) was hit first
Mean distance from 8 AM open to each level
Session ranges were measured for percentile analysis. All percentages were rounded to two decimal places for display.
Why These Specific Levels?
The levels were not chosen arbitrarily:
Session highs/lows: Natural support/resistance from overnight price discovery
7-8 AM midpoint: The final hour before NY open often establishes the opening range balance point
Midnight open: Represents the "true" start of the trading day (6PM-5PM structure)
2-3 AM midpoint: Captures early London price action balance
Testing showed these levels had the highest and most consistent hit rates across different patterns and setups.
Technical Implementation Notes
Language: Pine Script v5
Drawing Objects: Uses boxes for session visualization, lines for levels, labels for percentages, table for statistics
Performance: Optimized for real-time use with max limits set (500 boxes, 500 lines, 500 labels)
Calculations Per Bar:
Session detection (3 sessions)
Hourly detection (3 hourly periods)
Pattern classification
Conditional probability lookup
Percentile rank calculation (for session ranges)
All heavy statistical analysis was performed offline. The indicator only performs simple lookups and real-time range tracking.
Educational Value
Beyond trading application, this indicator demonstrates:
Conditional Probability: How market context (opening position, overnight structure) dramatically changes probabilities
Mean Reversion Dynamics: Why certain levels (7-8 AM midpoint, midnight) have such high revisit rates
Pattern Recognition: How overnight session relationships create different NY session behaviors
Distribution Analysis: Using percentile ranks instead of parametric statistics for skewed data
Understanding these concepts helps traders develop more sophisticated market models beyond simple "support and resistance."
Final Notes
This indicator is a tool for informed decision-making, not a crystal ball. It answers questions like:
"What typically happens in this setup?"
"How often does price revisit these levels?"
"Is this overnight range unusual?"
It does NOT answer:
"Should I buy or sell right now?"
"Where will price be at 4 PM?"
"What will happen tomorrow?"
Combine these statistics with proper risk management, sound trading strategy, and awareness that any individual day can deviate significantly from historical norms. The power of this indicator lies in providing objective, data-driven context to complement your analysis - not in replacing your judgment.
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
Smooth Accelarating RSISmooth Accelerating RSI (SA RSI) | MisinkoMaster
Smooth Accelerating RSI is a refined long-term momentum oscillator designed to deliver smoother RSI behavior while preserving the ability to react when momentum begins to accelerate. The indicator focuses on reducing noise typically found in standard RSI calculations while maintaining responsiveness during meaningful trend transitions.
This makes it particularly suitable for traders who prefer longer-term structure analysis or want cleaner signals across volatile markets.
Key Features
Smoother, longer-term RSI behavior compared to standard RSI
Momentum acceleration component for faster reaction to trend changes
Multiple moving average types supported for flexible smoothing behavior
Configurable trend and value-zone thresholds
Visual trend labeling and colored candles for intuitive reading
Divergence-style momentum histogram for shift detection
Adaptive smoothing to balance responsiveness and stability
How It Works
The indicator builds on traditional RSI logic but introduces layered smoothing and acceleration techniques to improve stability while preserving responsiveness.
Instead of relying on a single smoothing pass, the oscillator blends multiple smoothing layers and applies adaptive acceleration logic. This allows the RSI to remain calm during consolidation yet react quickly when momentum begins to expand.
An additional momentum change component highlights acceleration or deceleration phases, helping traders detect potential trend continuation or exhaustion.
The result is an RSI variant that behaves more smoothly over longer horizons while still adapting when market momentum shifts.
Inputs Overview
Source — Selects the price source used in RSI calculations
RSI Length — Controls the primary RSI calculation period
Smooth Accelerating Length — Controls final smoothing and acceleration responsiveness
MA Type — Selects which moving average method is applied throughout calculations
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Upper Threshold — Level signaling bullish trend bias
Lower Threshold — Level signaling bearish trend bias
Overbought Threshold — Defines potential exhaustion zones on the upside
Oversold Threshold — Defines potential exhaustion zones on the downside
Usage Notes
Designed for smoother, longer-term momentum tracking
Suitable for traders preferring fewer but more stable signals
Momentum histogram helps identify acceleration or weakening trends
Threshold crossings can indicate directional shifts
Overbought and oversold zones may help locate pullback opportunities
Works best when combined with price action or confirmation tools
Always test parameters according to asset volatility and timeframe
Summary
Smooth Accelerating RSI provides a calmer and more structured alternative to standard RSI while preserving the ability to detect meaningful momentum changes. It is well suited for traders seeking cleaner long-term signals without losing awareness of emerging trend acceleration.
Precision Market Entropy Heatmap [LuxAlgo]The Precision Market Entropy Heatmap indicator provides a high-resolution visualization of volume distribution and market activity within specific anchor intervals using intrabar data.
By utilizing lower timeframe (LTF) precision, it maps out where the most significant trading activity occurred, allowing traders to identify institutional interest zones and "fair value" areas through a dynamic heat-mapped profile.
🔶 USAGE
The indicator segments the chart into blocks based on the selected Anchor Interval. Within each block, a vertical distribution of volume is calculated using the Intrabar Precision setting to ensure the heatmap accurately reflects market participation at specific price levels.
Heatmap Blocks : Brighter colors represent higher volume concentrations (high entropy). These areas often act as significant support or resistance zones where the market has previously found "fair value" or high liquidity.
Identifying Institutional Interest : High-volume "bright" nodes represent price levels where heavy institutional participation occurred. These nodes act as powerful magnets or barriers for future price action.
Navigating Liquidity Voids : Darker areas indicate low volume nodes (low entropy). Price often "slips" through these gaps quickly. Traders can use these zones to anticipate fast-moving price action or set targets beyond the void.
Trend Direction via POC : Observe the slope and shifts of the Developing POC polyline. An ascending POC confirms bullish value migration, while a descending one suggests bearish value migration.
Mean Reversion : Significant price deviations from the largest high-volume node, when the POC remains static, can signal that the market is overextended and likely to return to "fair value."
Breakout Validation : Use the blocks to identify compression zones. A breakout is more reliable when the POC shifts into the new range, confirming that the move is backed by volume and accepted by the market.
POC Extensions : Dashed lines extend the session's final POC. These are dynamically colored based on their relationship to the current price: Green if the POC is below the current price (potential support) and Red if above (potential resistance).
🔶 DETAILS
Unlike standard Volume Profiles that look at fixed ranges, this script focuses on "Entropy" by visualizing the density of distribution across a user-defined grid.
By requesting security data from lower timeframes, it provides a much more granular view of price action than what is visible on the current chart timeframe alone.
The indicator uses a gradient-based coloring system to distinguish between low-activity areas and high-volume nodes, making it easier to spot "Liquidity Voids" (darker areas) and "High Volume Nodes" (brighter areas).
🔶 SETTINGS
🔹 Heatmap Settings
Anchor Interval : Sets the timeframe that defines each heatmap block (e.g., "D" for Daily blocks).
Intrabar Precision : Determines the lower timeframe used to calculate the volume distribution. Lower values (like "1m") provide higher precision but are limited by available historical data.
Number of Rows : Controls the vertical price resolution of the heatmap grid. Higher values create a more detailed but computationally heavier profile.
🔹 Style Settings
Heatmap Intensity : A three-color gradient selector that defines the color transition from low to high volume areas.
Heatmap Transparency : Adjusts the visibility of the heatmap blocks on the chart.
POC Extension (Bull/Bear) : Sets the colors for the dashed POC lines based on whether they are currently below (Bull) or above (Bear) the market price.
Show Developing POC : Toggles the visibility of the real-time POC polyline.
Auto : When enabled, the developing POC color automatically syncs with your chart theme's foreground color.
🔹 Display Settings
Max Sessions to Show : Limits the number of historical heatmap blocks rendered on the chart to maintain performance.
Extend POCs to Current Bar : When enabled, historical POC lines will extend to the far right of the chart until they are replaced by newer sessions.
GK Trend Ribbon SWING + PREPARE HUDGK Trend Ribbon SWIGN+ PREPARE HUD
This is the swing trading version of GK Trend Ribbon system.
it works with the core logic and structure as its predecessors,
but is tuned for a smoother, longer trend phases and reduced noise, making it more suitable for holding trades through broader market moves
The ribbon adapts to volatility using ATR-based bands, wile the zero-lag bassline tracks real trend direction.
The visual prepare alerts gives a early heads up before confirmed GK BUY or GK SELL signals,
helping traders get positioned before momentum fully shifts
CREATOR'S preferred timeframes for XAUUSD
15MIN CHART
30MIN CHART
also works on other assets
designed for structure trend based swing execution-patience, discipline and letting the ribbon lead
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------
Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well.
------------What the trader is supposed to do------------
Wait for an UP or DOWN arrow (trend shift).
Let the indicator lock an impulse and draw the fibs.
When price pulls into OTE, it prints READY.
When confirmation happens, it prints ENTRY.
------------Why it’s useful------------
It’s meant to stop you from:
taking random fibs from random swings,
trading weak/noisy moves,
or entering too early without confirmation.
Instead it forces a simple flow:
Trend → Impulse → Pullback to OTE → Confirmed entry
FX-CLINIC: Ultimate ICT Toolkit V1FX-CLINIC: Ultimate ICT Toolkit V1
ICT indicator contain multiple tools working powerful together
1- EXTRNAL STRUCTURE:
# Show EMSS,EBOS automatic
# Can control the length of the swing
# Can Change color type of the label and the line
2- INTERNAL STRUCTURE:
# Show IMSS,IBOS automatic
# Can control the length of the swing
# Can Change color type of the label and the line
3- LIQUIDITY LEVELS
# BSL,SSL
# Can control the strong of liquidity from 1-20
# Can Change color type of the label and the line
4- LIQUIDITY SWEEP:
# Can control the strong of liquidity from 1-20
# Can Change color type of the label and the line
5- FVG
# Automatic updated and deleted if break 100% by body candle
# Can Change color type of the label and the line
# Has 50% line and Can Change color type
6- ORDER BLOCK
# Automatic updated and deleted if break 100% by body candle
# Can Change color type of the label and the line
# Has 50% line and Can Change color type
Forecast Trend Filter ~ CharonQuantThe Forecast Trend Filter (FTF) is a trend and momentum confirmation indicator built on the original Forecast Oscillator concept developed by Tushar Chande.
The original Forecast Oscillator measures how far price deviates from a linear regression forecast to highlight momentum shifts.
This version extends that foundation and restructures it into a practical, signal-quality focused trend filter designed for real trading conditions.
What’s different in this implementation:
• Forecast Oscillator combined with slope confirmation to ensure momentum is accelerating, not stalling
• Trend alignment filter using a user-selectable moving average (SMA, EMA, WMA, HMA, ALMA, VWMA)
• Minimum deviation threshold to filter out weak or noisy signals
• Directional state logic that clearly defines bullish, bearish, or neutral conditions
• Visual trend context using adaptive colors, background bias, and overlay plots
Signals are only generated when all conditions align:
• Price deviates meaningfully from its linear regression forecast
• Oscillator slope confirms momentum continuation
• Deviation exceeds the minimum quality threshold
• Price is aligned with the higher-level trend filter
If one condition fails, the signal is ignored.
This design prioritizes signal quality over signal frequency.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:ETHUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Volatility-Based Stop CalculatorVolatility-Based Stop Calculator
Daily volatility-based stop distance and target levels with regime awareness using VIX-derived stress features
Overview
Volatility-Based Stop Calculator is a daily risk-sizing helper that computes ATR-based stop distances and target levels using a volatility regime score built from VIX momentum, VIX acceleration, and SPY realized volatility. It is not a signal or entry tool; it provides a consistent stop distance and target ladder for the current session.
Key Features
Volatility Regime Scoring: Uses VIX momentum (5‑day change), VIX acceleration, and SPY realized volatility to create a daily severity score.
Quantile Buckets: Maps the severity score into 4 volatility buckets (LOW / NORMAL / ELEVATED / EXTREME).
Dynamic k Multiplier: Adjusts stop distance via VIX percentile, gap risk (ETFs only), realized vol ratio, and VIX9D term stress.
ATR-Based Stops: Final stop distance is ATR × k, rounded to tick size.
Targets Ladder: Plots TP1/TP2/TP3 and stop levels from a reference price (daily close or live price).
Overlap Consolidation: In Both mode, overlapping long/short levels are merged into a single line/label.
Live Lines + Labels: Uses dynamic lines and labels (not plot lines) for clean chart overlays.
Table Summary: Monospace table showing regime, k, ATR, stop distance, and volatility stats.
How It Works
Daily Data Pull: Uses daily bars for all volatility calculations to match the original daily model.
Severity Score: Ranks VIX momentum, VIX acceleration, and SPY realized vol, then blends them with weights.
Bucket Mapping: Converts severity into 4 quantile buckets and selects base k per bucket.
Dynamic Adjustments: Adds VIX percentile, ETF gap risk, asset vs market realized vol, and VIX9D term stress.
Stop + Targets: Computes stop distance and applies 1R/2R/3R targets from the reference price.
Use Cases
Stop Placement: Avoid stops that are too tight in high volatility or too wide in low volatility.
Risk Sizing: Use the stop distance with your own risk model to size positions.
Daily Context: Track volatility regime shifts without needing a separate regime model.
Consistent Execution: Standardize stop/target placement across sessions.
Settings
Volatility Inputs:
VIX Symbol, VIX9D Symbol
SPY Symbol (market baseline)
NQ/ES Baseline Symbols (futures baselines)
Stop Model:
ATR EMA Span
VIX Percentile Window
Severity Lookback
Bucket Lookback
Gap Lookback (ETFs)
Bucket Smoothing
Display:
Show Levels (Long/Short/Both)
Use Live Price (current chart) or Daily Close
Level Line Style/Width
Label Size and Position
Long/Short/Overlap colors
Table Styling:
Background, header, border, frame, and text settings
Table position and text size
Technical Notes
All volatility calculations are based on daily data; intraday charts use daily series under the hood.
Futures gap adjustment is disabled; ETFs include gap risk.
This is a risk sizing helper, not a trade signal generator.
Best Practices
Use daily regime output to set stops, then execute on your preferred timeframe.
Confirm symbol mappings for VIX/VIX9D/ES/NQ in your data feed.
If levels feel too wide or tight, adjust the k inputs rather than ATR length first.
A daily volatility‑based stop calculator that adapts stop distance and targets to the current regime.
Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Day/Month Returns Analysis [theUltimator5]This indicator calculates the average returns for day of the week, months of the year, and each Friday of the month, then gives a visualization of the average returns in green/red bars as well as the average percentage move.
You can select from (3) options.
1) Day of the week. This shows the average returns for each day of the week calculated back as far as your chart history goes. For crypto, it calculates all 7 days of the week. If not crypto, it does Monday through Friday
2) Month of the year. This shows the average returns for each month. Self explanatory
3) Friday of the month. This is a niche setting that lets you see the average returns of each Friday of the month, to track if there is any OPEX related consistency.
You can also set the start date for the indicator to start calculating from in the options. If there is a certain date that a symbol starts acting differently and you want to only calculate from that point forwards, you can.
The visuals appear as a table which can be repositioned to whichever section of your screen you would like.
This indicator works best on the daily timeframe since lower timeframes may not have enough bars back in history to calculate enough to make an average.
Accordion Index (Swing-Based) Structural Market Regime AnalysisThe Accordion Index is a multi-dimensional market structure indicator designed to diagnose regime formation, expansion, compression, and transition phases across financial markets. Rather than generating isolated buy/sell signals, it provides contextual insight into how price, structure, and participation interact over time.
The indicator is based on a swing-based, multi-leg framework, which reflects how markets naturally alternate between expansion, correction, re-expansion, and resolution phases. These repeating swing sequences form the foundation of both classical cycle analysis and Elliott Wave structures.
By quantifying the internal quality of these swing structures, the Accordion Index evaluates whether price movements are structurally aligned, directionally efficient, and institutionally supported.
Core Components
The indicator consists of three complementary components:
1) Accordion Correlation (Blue Line) Structural Alignment
Measures the degree of synchronization between short-term swing behavior and the dominant higher-timeframe regime.
Rising values indicate increasing structural coherence.
Declining values reflect regime decay and fractal misalignment.
This component highlights whether market movements are organized within a broader cycle structure or fragmented across timeframes.
2) Efficiency (Green Line) Directional Progress
Measures how much net directional displacement price achieves relative to its internal movement.
Rising values indicate clean, trend-supportive movement.
Falling values reflect consolidation, churn, or distribution.
This component distinguishes productive trends from sideways or internally conflicted phases.
3) Average Swing Speed (Red Line) Participation and Energy
Measures the velocity and urgency of swing movements.
Rising values indicate strong institutional and speculative engagement.
Declining values suggest fading participation or exhaustion.
This component reflects whether major capital is actively sponsoring price movement.
Regime Thresholds
Two reference levels provide structural context:
Directional Regime (+0.5, Blue Dashed Line)
Identifies mature directional regimes with strong structural coherence, typically associated with sustained trend phases.
Strong Accordion (–0.5, Purple Dashed Line)
Marks extreme structural dislocation, often occurring during crisis periods, panic phases, or major regime breakdowns.
Interpreting the Accordion Index
The indicator should be interpreted as a regime and structure filter rather than a standalone signal generator.
Typical configurations include:
Rising correlation, rising efficiency, rising speed
=Trend expansion and regime confirmation
Rising correlation, falling efficiency, elevated speed
=Compression and accumulation/distribution
Falling correlation and efficiency with unstable speed
=Regime decay and transition
Simultaneous recovery in correlation and efficiency
=Structural re-synchronization and trend re-emergence
These configurations allow traders to assess whether markets are trending, consolidating, transitioning, or reorganizing internally.
Market-Agnostic and Fractal Design
The Accordion Index is market-agnostic and fractal in nature. It can be applied to:
FX, commodities, indices, equities, and crypto
Intraday, swing, and long-term timeframes
The underlying swing structure exists in all sufficiently liquid markets. Differences in behavior are reflected through changes in structural coherence, efficiency, and participation rather than through pattern distortion.
The indicator therefore adapts naturally to different asset classes and volatility regimes.
Integration with Cycle and Wave Analysis
The Accordion Index is designed to complement, not replace, existing analytical frameworks.
Cycle Analysis
It can be used to validate cycle phases by confirming whether internal structure supports expansion, compression, or transition scenarios.
Elliott Wave Analysis
The indicator aligns naturally with Elliott Wave principles by evaluating the quality of impulsive and corrective phases:
Impulsive waves typically show rising correlation, efficiency, and speed.
Corrective waves tend to display falling efficiency and structural fragmentation.
Wave extensions and failures are often preceded by changes in internal alignment.
This makes the Accordion Index a valuable supplemental tool for confirming wave counts and identifying regime exhaustion or re-synchronization.
Practical Usage
The Accordion Index functions best as a contextual filter:
High structural alignment = trust trend structure
Low efficiency = expect consolidation
Low participation = avoid forcing trades
Trades and projections should be executed in alignment with prevailing structural conditions rather than isolated price patterns.
Disclaimer
This indicator is intended for educational and analytical purposes. It does not constitute financial advice. All trading decisions remain the responsibility of the user.
Closing Note
The Accordion Index is designed to visualize how markets organize, exhaust, compress, and re-synchronize over time. By integrating structural alignment, directional efficiency, and participation dynamics, it provides a unified framework for understanding market regimes across asset classes and timeframes.
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
Adaptive Elliott Wave: Forecast + Dashboard (V.2)Title: Adaptive Elliott Wave: Forecast + Dashboard
Description:
Overview
The Adaptive Elliott Wave: Forecast + Dashboard is a technical analysis tool designed to visualize potential Elliott Wave structures using a dynamic, multi-factor approach. Unlike static wave scripts, this indicator adapts its projections based on real-time trend context (Weighted Moving Averages) and momentum shifts (RSI). It is built to help traders identify the most likely path—Impulse or Correction—based on current market conditions.
How It Works
The script uses a combination of pivot-point detection and trend filtering to project future wave paths.
Pivot Logic: The indicator identifies significant Highs and Lows using a sensitivity setting. These pivots form the "anchors" for the Elliott Wave count.
Adaptive Engine: The "Auto-Detect" mode analyzes the relationship between the 50/200 WMA (Trend) and RSI (Momentum).
In a Bull Trend: If RSI is oversold, the script anticipates a bullish "Impulse" wave. If RSI is overbought, it prepares for a "Correction."
In a Bear Trend: The logic reverses to project rallies or downward impulses.
Projections: It calculates Fibonacci-based targets for waves 1-5 (Impulse) or A-B-C/W-X-Y (Correction) and renders them as "ghost lines" that move with the price.
Macro Outlook: For long-term context, the script includes a Macro Projection feature that uses higher-period pivots to show the possible 1-year direction.
Key Features
Target Table: A real-time dashboard showing exact Fibonacci target prices and the percentage distance from the current price.
Corrective Channels: Automatically draws channels for wave corrections to help identify potential breakout or breakdown zones.
Bullish/Bearish Extensions: Shows immediate volatility-based extensions beyond the last confirmed pivot.
RSI Signals: Visual markers on the chart indicate overbought/oversold conditions that feed into the adaptive logic.
How to Use
Identify the Phase: Use the "AI STATUS" in the dashboard to see if the script is currently projecting an Impulse (Trend move) or a Correction (Counter-trend).
Confirm with WMA: Use the 50 (Blue) and 200 (Orange) WMAs to confirm the macro trend before following a projection.
Monitor Fib Targets: Watch for price reactions at the projected labels. If price breaks a target significantly, the wave count may need to be re-evaluated (re-pivot).
Customize Sensitivity: For scalping, lower the "Short-Term Sensitivity." For swing trading, increase it.
Disclaimer
This script is for educational purposes only. Elliott Wave Theory is subjective, and projections are mathematical estimates based on historical volatility. Past performance does not guarantee future results. Always use proper risk management.
Settings Guide
Forecast Mode: Choose between "Auto-Detect" (Dynamic) or manually force an Impulse/Correction count.
Macro Sensitivity: Controls how far back the script looks to generate the purple 1-year projection.
Link Correction to Extension: A unique feature that starts the forecast from a potential extension target rather than the current live price.
For Loop THMA ~ CharonQuantThe For Loop THMA is a trend classification and momentum confirmation indicator designed to measure directional strength through relative price dominance, not raw crossings.
This indicator blends a Triple Hull Moving Average structure with a for-loop comparison engine and multiple trend quality filters to reduce noise and false signals.
Concept Overview
The core idea behind this indicator is simple:
Instead of asking “did price cross a line?”, it asks
“How often is the price stronger than its recent past?”
By looping over previous THMA values and comparing them to the current value, the indicator builds a directional score that reflects internal momentum and persistence.
This approach allows trends to be evaluated statistically rather than emotionally.
Indicator Components
The For Loop THMA is composed of four layers:
• Triple Hull Moving Average (THMA) as the smoothed price backbone
• For-loop counter to quantify relative dominance over a lookback window
• EMA trend filter to align signals with higher-timeframe bias
• ADX + DMI filter to ensure sufficient trend strength
Signals are only produced when all components align.
For-Loop Logic
The for-loop compares the current THMA value to its past values over a user-defined range.
Each comparison increments or decrements a counter, producing an oscillator that reflects bullish or bearish pressure.
Optional weighting can be enabled to give more importance to recent price action.
This counter becomes the primary decision engine of the indicator.
Visual Interpretation
• The oscillator displays the strength and direction of the trend
• Threshold lines define bullish and bearish regimes
• Bar coloring reflects the active trend state
• Color intensity adapts to directional confidence
Credits and Inspiration
This indicator is inspired by and builds upon:
• THMA ~ CharonQuant
• For Loop MA Indicator from CraftMan18
Development and usage notes:
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Precision Entry Systementry system for smc and ict with order blocks and fvgs to make sniper entries and precision and quick execution
Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence)Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence)
This indicator provides a dynamic, real-time projection of Elliott Wave structures, helping traders identify potential trend exhaustion and reversal targets. By combining historical pivot analysis with Fibonacci extensions, it forecasts both short-term "extensions" and long-term "macro" moves.
🚀 Key Features
Automated Elliott Wave Projections: Automatically plots potential 5-wave impulse moves (bullish) and 3-wave corrective moves (ABC - bearish) based on current market volatility.
RSI Divergence Integration (⚡): The script scans for discrepancies between price and momentum. If a reversal is projected while a Bullish or Bearish divergence exists, a lightning bolt icon appears, signaling a high-probability setup.
Dual-Horizon Forecasting:
Short-Term Extension: Projects the immediate continuation of the current trend.
1-Year Macro Projection: A "Big Picture" mode that uses high-sensitivity pivots to forecast long-term structural shifts.
Dynamic Data Dashboard: An on-chart table calculates exact Fibonacci price targets and the percentage distance from the current price, allowing for precise risk/reward planning.
Invalidation Logic: Clearly marks the "Invalidation Line." If price breaches this level, the current wave count is considered void.
🛠️ How to Read the Chart
Historical Waves (Green/Teal): Shows the confirmed pivots that the script is using as a baseline.
Extensions (Orange): The immediate predicted path if the current momentum continues.
Reversals (Blue): The projected Elliott Wave path if the current pivot holds.
Look for the ⚡ symbol near the Invalidation line; this indicates RSI Divergence, suggesting the reversal has strong momentum backing it.
Macro Projection (Purple): Designed for swing traders and investors to see where the asset could be in a year based on larger cycle pivots.
⚙️ Settings & Customization
Sensitivity: Adjust the "Short-Term" and "Macro" sensitivity to filter out market noise or capture smaller intraday cycles.
Scenario Linking: You can choose to have the Reversal projection start after the Extension target is hit, or have them run independently.
Visual Toggles: Enable/Disable the target table, Fibonacci grid levels, and chart labels to keep your workspace clean.
Disclaimer: This indicator is a mathematical projection based on historical volatility and Elliott Wave rules. It is a tool for technical analysis and does not guarantee future results. Always use proper stop-loss management.
Retail Stop-Loss PredictorThe Psychology of Retail Stop-Loss Placement
The "Safe" Buffer Trap
Retail traders are taught to find a recent high or low and place their stop "just a few pips away" to avoid being wicked out.
The Reality: Institutions know exactly where these "buffers" are. They look for clusters of these orders to create the volume they need to fill their large positions.
The Indicator Solution: The SL Predictor automatically calculates these clusters by identifying "Pivots" and applying a Buffer Offset to show the actual zone where the "pain" is felt.
2. Detailed Description of the SL Predictor
A. Multi-Timeframe (MTF) Anchoring
The indicator doesn't just look at your current chart. It "anchors" zones from Higher Timeframes (HTF) like the 4-Hour or Daily.
Why it matters: A stop-loss cluster on a 1-minute chart is a "speed bump." A stop-loss cluster on a Daily chart is a Liquidity Ocean.
Visuals: These zones are drawn as shaded boxes that stay locked to the candle index, ensuring they don't move or repaint when you scroll.
B. Round Number "Magnet" Logic
Retailers have a psychological bias toward Round Numbers (e.g., $100.00, $1.2500).
The Feature: The script identifies these psychological levels and marks them as secondary stop-loss zones. Institutions often "front-run" these levels or sweep them entirely to trigger mass liquidations.
C. Mitigation & Clearing
Once price enters a predicted stop-loss zone, the indicator changes the color to gray or removes the label.
What this means: The "Fuel" has been used. The stops have been triggered. The market has found the liquidity it was looking for and is now ready to reverse or move to the next "pool."
3. Best Use Case: The "Liquidity Hunt" Strategy
Step 1: Identify "Engineered" Liquidity
Look for Equal Highs (Double Tops) or Equal Lows (Double Bottoms). Retailers see these as "Strong Resistance/Support" and pile their stops behind them.
The Indicator: Will highlight these areas with a Red (Short Stops) or Green (Long Stops) shaded box.
Step 2: Wait for the "Stop Run"
Do not enter a trade when price is inside the zone. Wait for price to pierce the zone and then show a sign of rejection (like a long wick).
Institutional Secret: This is the moment the "Smart Money" has finished buying from the retail sellers or selling to the retail buyers.
Step 3: Execution (The "Reverse" Entry)
Once the "Probable Stop" label disappears or the zone turns gray:
Short Entry: If price swept a Red Zone and closed back below it.
Long Entry: If price swept a Green Zone and closed back above it.
Target: The Opposite stop-loss zone. You are trading from one pool of retail "fuel" to the next.
ronyImran Rony is an advanced based binary trading indicator designed to deliver high-accuracy CALL & PUT signals on short timeframes.
It uses RSI volatility with TMA deviation channels to identify overbought and oversold market conditions, while the optional EMA Trend Force filter helps avoid counter-trend trades and improves overall signal quality.
All signals are non-repainting and confirmed after candle close.
The indicator also features a real-time performance dashboard displaying Win Rate, total Wins & Losses, current Trend direction, and active signal status, allowing traders to monitor performance directly on the chart.
Best suited for Binary Options trading on 1M–5M timeframes, including OTC and Forex pairs.
⚠️ This indicator is for technical analysis only. Always use proper risk management.
This Code Made by Imran Rony
Telegram : @Imran_755
SMA 20 & 5 MagicMoving Average based envelops and bands are quite popular tools in the equity trading universe. One such popular band is 20 SMA High-Low band. In 20 SMA High-Low band generally a BUY is signaled when price breaks above the High of the band, and a SELL when price falls below the Low of the band. However, at times the time-price points to look for trading/ investing opportunities and taking position are not very clear in this generic mode.
This script combines the 20 SMA High-Low band and a 5 SMA line plotted over it, to tackle this limitation. It helps to find more precise trading/ investing opportunities, Entry and Exit time-price points above & below the band, traversing along the 5 SMA line. The price within the band is usually considered as 'no trades' zone.
This set up can be applied on any TF, but generally holds good for swings on daily/ hourly TFs. By tweaking SMA 20 and 5 to SMA 200 and 50 respectively in the settings, it may also help in identifying medium/Long term trends and investment opportunities using daily/ weekly TFs .
Take it as a tool for learning and analysis. Happy trading/ investing.
