OPEN-SOURCE SCRIPT
Обновлено Technical 4x4 Matrix
Technical 4x4 Matrix:
Can Rethinking Common Sense Bring New Insights?
Description:
Does reviewing existing common sense bring new insights? The "Technical 4x4 Matrix" challenges the traditional way we view technical analysis. Instead of stacking endless line charts or reading boring data tables, this indicator reimagines 16 classic technical indicators (RSI, MACD, Bollinger Bands, etc.) by projecting them onto a unified, 4x4 analog meter interface directly on your chart.
By standardizing completely different mathematical models into a single visual language, we can uncover hidden confluences and macro alignments that isolated indicators often miss.
[ Core Calculations & Expected Outputs ]
To make this matrix function, the script performs heavy data normalization and correlation calculations behind the scenes. Here is why these calculations are used and what they actually output:
1. Data Normalization Engine (The Analog Meters)
Why it's used: You cannot simply average an RSI (measured 0 to 100) with a MACD (absolute price differences). To create a unified "Average Flow," every indicator must be converted to a uniform scale.
The Calculation: The script uses a custom normalization formula:
Normalized Value = (Current Value - Min Value) / (Max Value - Min Value)
Actual Output Value: Regardless of the indicator's native scale, the output value for every single meter is strictly constrained between 0.0 (Absolute Cold/Oversold) and 1.0 (Absolute Hot/Overbought). For example, a neutral RSI of 50 outputs exactly 0.5.
2. Master HUD Crosshair (Macro Correlation)
Why it's used: To determine if the current micro price action is actually aligned with the macro trend, rather than just reacting to short-term noise.
The Calculation:
First, it creates a ratio: Macro Ratio = SMA(Close, 250) / SMA(Close, 1)
Next, it calculates the correlation between the closing price and this ratio over 20 periods, scaling it for the HUD's Y-Axis:
Y-Axis Ratio = (Correlation + 1.0) / 2.0
Actual Output Value: The raw correlation ranges from -1.0 to 1.0. After scaling, the final Y-Axis output is a coordinate between 0.0 and 1.0. The X-Axis is the simple average of all active 0.0 to 1.0 normalized indicators. If the crosshair intersects at (0.8, 0.8), it outputs a mathematically backed signal of strong macro and micro bullish alignment.
16 togglable indicators rendered as square analog meters with dynamic needle tracking and LED status lights.
Garbage Collection: Efficient array clearing prevents memory leaks and visual ghosting.
Master Crosshair: A central HUD that tracks the aggregated flow of all 16 indicators (X-axis) against macro-trend correlation (Y-axis).
Can Rethinking Common Sense Bring New Insights?
Description:
Does reviewing existing common sense bring new insights? The "Technical 4x4 Matrix" challenges the traditional way we view technical analysis. Instead of stacking endless line charts or reading boring data tables, this indicator reimagines 16 classic technical indicators (RSI, MACD, Bollinger Bands, etc.) by projecting them onto a unified, 4x4 analog meter interface directly on your chart.
By standardizing completely different mathematical models into a single visual language, we can uncover hidden confluences and macro alignments that isolated indicators often miss.
[ Core Calculations & Expected Outputs ]
To make this matrix function, the script performs heavy data normalization and correlation calculations behind the scenes. Here is why these calculations are used and what they actually output:
1. Data Normalization Engine (The Analog Meters)
Why it's used: You cannot simply average an RSI (measured 0 to 100) with a MACD (absolute price differences). To create a unified "Average Flow," every indicator must be converted to a uniform scale.
The Calculation: The script uses a custom normalization formula:
Normalized Value = (Current Value - Min Value) / (Max Value - Min Value)
Actual Output Value: Regardless of the indicator's native scale, the output value for every single meter is strictly constrained between 0.0 (Absolute Cold/Oversold) and 1.0 (Absolute Hot/Overbought). For example, a neutral RSI of 50 outputs exactly 0.5.
2. Master HUD Crosshair (Macro Correlation)
Why it's used: To determine if the current micro price action is actually aligned with the macro trend, rather than just reacting to short-term noise.
The Calculation:
First, it creates a ratio: Macro Ratio = SMA(Close, 250) / SMA(Close, 1)
Next, it calculates the correlation between the closing price and this ratio over 20 periods, scaling it for the HUD's Y-Axis:
Y-Axis Ratio = (Correlation + 1.0) / 2.0
Actual Output Value: The raw correlation ranges from -1.0 to 1.0. After scaling, the final Y-Axis output is a coordinate between 0.0 and 1.0. The X-Axis is the simple average of all active 0.0 to 1.0 normalized indicators. If the crosshair intersects at (0.8, 0.8), it outputs a mathematically backed signal of strong macro and micro bullish alignment.
16 togglable indicators rendered as square analog meters with dynamic needle tracking and LED status lights.
Garbage Collection: Efficient array clearing prevents memory leaks and visual ghosting.
Master Crosshair: A central HUD that tracks the aggregated flow of all 16 indicators (X-axis) against macro-trend correlation (Y-axis).
Информация о релизе
Update: Added detailed documentation and algorithmic transparency.Информация о релизе
Update: Added detailed documentation and algorithmic transparency.Скрипт с открытым кодом
В истинном духе TradingView, создатель этого скрипта сделал его открытым исходным кодом, чтобы трейдеры могли проверить и убедиться в его функциональности. Браво автору! Вы можете использовать его бесплатно, но помните, что перепубликация кода подчиняется нашим Правилам поведения.
Script Developer.
I specialize in pushing basic, fundamental concepts to their absolute limits. Dedicated to engineering noise-free indicators that reveal true market mechanics and logical edges. Clarity over https://clutter.https://www.youtube.com/@alt.analyst
I specialize in pushing basic, fundamental concepts to their absolute limits. Dedicated to engineering noise-free indicators that reveal true market mechanics and logical edges. Clarity over https://clutter.https://www.youtube.com/@alt.analyst
Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.
Скрипт с открытым кодом
В истинном духе TradingView, создатель этого скрипта сделал его открытым исходным кодом, чтобы трейдеры могли проверить и убедиться в его функциональности. Браво автору! Вы можете использовать его бесплатно, но помните, что перепубликация кода подчиняется нашим Правилам поведения.
Script Developer.
I specialize in pushing basic, fundamental concepts to their absolute limits. Dedicated to engineering noise-free indicators that reveal true market mechanics and logical edges. Clarity over https://clutter.https://www.youtube.com/@alt.analyst
I specialize in pushing basic, fundamental concepts to their absolute limits. Dedicated to engineering noise-free indicators that reveal true market mechanics and logical edges. Clarity over https://clutter.https://www.youtube.com/@alt.analyst
Отказ от ответственности
Информация и публикации не предназначены для предоставления и не являются финансовыми, инвестиционными, торговыми или другими видами советов или рекомендаций, предоставленных или одобренных TradingView. Подробнее читайте в Условиях использования.