Rate Of Change - Zerocross

前天

Adds vertical line & 2nd order rate of change of an input variable

前天

發行說明

Rate of change script modified to add 2nd order ROC, vertical line at 1st order ROC zerocross points minus 2 ticks, and automatically matched scale for both ROCs.

前天

發行說明

Front-End Features
Visual Representation of Rate of Change (ROC): Displays the first-order ROC as a blue line with a linewidth of 4, offset by -1, providing a clear view of the primary momentum trend. This helps users visually assess the initial rate of price change over a customizable length.
Zero Line Highlight: Features a prominent orange horizontal line at zero, with a linewidth of 4 and reduced opacity, serving as a key reference point for identifying crossovers and potential reversals in the oscillator.
Second-Order Derivative (ROC2) Visualization: Plots the second-order derivative (ROC2) as an orange polyline, scaled separately for positive and negative values to align with the zero line. This tweaked feature highlights acceleration or deceleration in momentum, aiding in the identification of asymptotes where the oscillator’s trend may approach extreme levels.
Cross-Point Indicators: Marks crossover points where ROC crosses the zero line with vertical lines (green for positive ROC2, red for negative ROC2), offering intuitive entry and exit signals by cross-referencing momentum shifts with second-order changes.
Customizable Inputs: Allows users to adjust ROC1 Length, ROC2 Length, and ROC2 Color via input fields, enabling personalized tuning to suit different oscillators (e.g., RSI) and trading strategies.
Dynamic Scaling: Automatically adjusts the scale of ROC2 based on visible data ranges, ensuring the polyline remains proportional and readable across varying market conditions.


Back-End Features
Core Calculation Logic: Implements a robust calculation of the first-order ROC using the formula 100.0 * (source - source[length]) / source[length], providing a percentage-based momentum indicator. The second-order ROC2 is computed as roc - roc[length2], approximating the rate of change of momentum for enhanced trend analysis.
Data Array Management: Utilizes arrays (vis_roc, vis_roc2, vis_bars, cross_pos_arr, cross_color_arr) to store and process visible bar data, ensuring efficient handling of historical and real-time values for plotting and analysis.
Conditional Data Population: Populates arrays only for bars within the visible chart range (time >= chart.left_visible_bar_time and time <= chart.right_visible_bar_time), optimizing performance and focusing on relevant data.
Crossover Detection: Employs the ta.cross function to detect when ROC crosses the zero line, triggering the storage of cross positions and colors based on ROC2 values, enabling precise signal generation.
Polyline Scaling Algorithm: Features a sophisticated scaling mechanism that adjusts ROC2 values (scaled = r2 / hi2 * hi1 for positive, scaled = r2 / lo2 * lo1 for negative) to align with ROC’s range, preventing distortion and ensuring accurate asymptote visualization.
Last-Bar Processing: Executes final plotting and line drawing logic on the last bar (barstate.islast), ensuring all calculations are complete before rendering, which supports real-time updates and consistency.

This tweaked version enhances oscillator analysis by leveraging ROC2 to pinpoint asymptotes, facilitating cross-referencing for strategic entry and exit points in trading scenarios.