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Apex Edge - VantageApex Edge – Vantage
Quarter-Wick Reversal System | Price Action Based | Non-Repainting | Visual Confirmation Tool
Overview:
Apex Edge – Vantage is a precision price action indicator built to assist traders in identifying high-probability reversal entries — not based on indicators, but on how candles behave at their extremes.
This tool implements a clean, repeatable framework that reflects how I personally trade:
Spot a candle that closes with strong directional intent,
Then wait for a controlled pullback into the outer quarter,
And strike — only if price respects that line.
There’s no magic here — just raw, tactical logic visualized clearly on your chart. It's not designed to predict the market — it's built to respond when price offers you Vantage.
Core Logic:
Dot Detection – Final Quarter Close Candles
A green dot prints below a bullish candle if it closes within the top 25% of its wick-to-wick range.
A red dot prints above a bearish candle if it closes within the bottom 25% of its range.
These dots signify candles that made a strong, deliberate move in one direction — where price was pushed to an extreme and held that extreme into the close. These candles often signal institutional intent or momentum imbalance.
Entry Confirmation – Controlled Wick Rebalance
On the very next candle only, price must wick into the prior dot candle's outer quarter — but must not pass beyond it.
For buy entries, the wick must enter the bottom 25% of the previous green dot candle, but not dip below it.
For sell entries, the wick must reach into the top 25% of the red dot candle, but not exceed it.
This wick into the quarter is seen as a controlled rebalancing — a tactical reaction back into the origin zone before potential continuation.
Arrow Printing – Visual Entry Signal
Once the entry criteria are confirmed, an arrow is printed after the candle closes.
This arrow continues to print on each new candle as long as price does not violate the original entry zone — giving visual confirmation that the trade thesis is still valid.
If price breaks above/below the quarter range, the arrow disappears.
This ongoing confirmation is useful for staying in trades, managing risk, or spotting failed setups early.
Automatic Stop Loss Level
A horizontal Stop Loss line is drawn from the extreme wick of the original dot candle.
For buy entries, SL is placed below the green dot candle's low.
For sell entries, SL is placed above the red dot candle's high.
This provides immediate risk context — perfect for traders using limit orders or looking to scale in.
Coding Logic:
This script uses plotshape() and plot() functions for all visual elements.
Dot candles are identified using quarter-range logic via:
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close >= high - (high - low) * 0.25 // for bullish
close <= low + (high - low) * 0.25 // for bearish
Entry validation logic triggers only on the next candle, using:
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low >= quarterLine and low <= high // for buy entries
high <= quarterLine and high >= low // for sell entries
Arrows and SL lines are plotted only on closed candles, ensuring non-repainting behavior.
alertcondition() is used for real-time alerts on valid buy/sell triggers.
How I Personally Use It:
I wait for a dot to print — this shows directional conviction.
On the next candle, I watch for a tap into the outer quarter.
If the wick meets the criteria and the candle closes, I’ll execute manually at the close of that candle.
As long as the arrow remains on the chart, I know the setup hasn’t been invalidated.
I combine this with market structure, session timing, and liquidity context to build confluence around each trade.
Alerts Included:
Buy Entry Alert: When a green arrow prints (entry confirmed)
Sell Entry Alert: When a red arrow prints (entry confirmed)
These fire once per confirmed signal, allowing you to react in real-time or automate if desired.
Who This Is For:
Manual traders who want clean price-based entries
Anyone who uses market structure, SMC, or liquidity concepts
Traders looking to replace indicators with pure candle logic
Discretionary or semi-systematic traders who want visual tools to guide their decisions
Final Word
Apex Edge – Vantage doesn’t predict price — it shows you where price is offering you control.
This is a surgical tool designed to help you act only when the market gives you a measurable edge — and to stay in the trade as long as that edge holds.
If you're ready to stop chasing trades and start striking from a position of Vantage, then this tool belongs on your chart. Indicator
3D Surface Modeling [PhenLabs]📊 3D Surface Modeling
Version: PineScript™ v6
📌 Description
The 3D Surface Modeling indicator revolutionizes technical analysis by generating three-dimensional visualizations of multiple technical indicators across various timeframes. This advanced analytical tool processes and renders complex indicator data through a sophisticated matrix-based calculation system, creating an intuitive 3D surface representation of market dynamics.
The indicator employs array-based computations to simultaneously analyze multiple instances of selected technical indicators, mapping their behavior patterns across different temporal dimensions. This unique approach enables traders to identify complex market patterns and relationships that may be invisible in traditional 2D charts.
🚀 Points of Innovation
Matrix-Based Computation Engine: Processes up to 500 concurrent indicator calculations in real-time
Dynamic 3D Rendering System: Creates depth perception through sophisticated line arrays and color gradients
Multi-Indicator Integration: Seamlessly combines VWAP, Hurst, RSI, Stochastic, CCI, MFI, and Fractal Dimension analyses
Adaptive Scaling Algorithm: Automatically adjusts visualization parameters based on indicator type and market conditions
🔧 Core Components
Indicator Processing Module: Handles real-time calculation of multiple technical indicators using array-based mathematics
3D Visualization Engine: Converts indicator data into three-dimensional surfaces using line arrays and color mapping
Dynamic Scaling System: Implements custom normalization algorithms for different indicator types
Color Gradient Generator: Creates depth perception through programmatic color transitions
🔥 Key Features
Multi-Indicator Support: Comprehensive analysis across seven different technical indicators
Customizable Visualization: User-defined color schemes and line width parameters
Real-time Processing: Continuous calculation and rendering of 3D surfaces
Cross-Timeframe Analysis: Simultaneous visualization of indicator behavior across multiple periods
🎨 Visualization
Surface Plot: Three-dimensional representation using up to 500 lines with dynamic color gradients
Depth Indicators: Color intensity variations showing indicator value magnitude
Pattern Recognition: Visual identification of market structures across multiple timeframes
📖 Usage Guidelines
Indicator Selection
Type: VWAP, Hurst, RSI, Stochastic, CCI, MFI, Fractal Dimension
Default: VWAP
Starting Length: Minimum 5 periods
Default: 10
Step Size: Interval between calculations
Range: 1-10
Visualization Parameters
Color Scheme: Green, Red, Blue options
Line Width: 1-5 pixels
Surface Resolution: Up to 500 lines
✅ Best Use Cases
Multi-timeframe market analysis
Pattern recognition across different technical indicators
Trend strength assessment through 3D visualization
Market behavior study across multiple periods
⚠️ Limitations
High computational resource requirements
Maximum 500 line restriction
Requires substantial historical data
Complex visualization learning curve
🔬 How It Works
1. Data Processing:
Calculates selected indicator values across multiple timeframes
Stores results in multi-dimensional arrays
Applies custom scaling algorithms
2. Visualization Generation:
Creates line arrays for 3D surface representation
Applies color gradients based on value magnitude
Renders real-time updates to surface plot
3. Display Integration:
Synchronizes with chart timeframe
Updates surface plot dynamically
Maintains visual consistency across updates
🌟 Credits:
Inspired by LonesomeTheBlue (modified for multiple indicator types with scaling fixes and additional unique mappings)
💡 Note:
Optimal performance requires sufficient computing resources and historical data. Users should start with default settings and gradually adjust parameters based on their analysis requirements and system capabilities.
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