🔷 Trend Lines Premium Engine

Multi-Layer Market Structure & Dynamic Regression Indicator

https://chartshots.spotware.com/c/69d3c949a2e08

📌 What is it?

Trend Lines Premium Engine is an overlay indicator that combines 5 independent modules into a single tool. Each module can be toggled on or off. It maps market structure, dynamic channels, and volume-based regression zones directly on the price chart.

It answers three core questions:

• Where is price within the current structure?
• What is the dominant trend and where are the breaking points?
• At which price levels is activity concentrated?

🧩 The 5 Modules

1️⃣ Swing Range Connector

https://chartshots.spotware.com/c/69d3cab9b805b

Detects the most recent swing highs and swing lows, then draws a sloped channel connecting the oldest to the newest on both sides. The area between is filled as a dynamic range zone.

How it works:

• A bar qualifies as a swing point when its high (or low) is the most extreme compared to N bars before and N bars after it.
• A straight line is drawn from the oldest stored swing to the most recent, creating upper and lower boundaries.
• The channel shifts automatically each time a new swing point is confirmed.

How to read it:

• Price inside the channel → defined structural range.
• Break above/below → volatility expansion or structure shift.
• Channel slope → predominant range direction.

Parameter

Purpose

Bars Before / After Swing

Bars required on each side to confirm a swing. Higher = more significant swings

Max Swing Points

How many swings to store. Controls channel depth

History Window

How far back the channel is drawn

2️⃣ Segment Linear Channel

https://chartshots.spotware.com/c/69d3cb221bba1

Splits the analysis window into 5 equal segments, finds the highest high and lowest low in each, then fits a least-squares regression line through those 5 upper points and another through the 5 lower points.

How it works:

• The window is divided into 5 parts. One representative extreme is extracted per part.
• Linear regression is applied over those 5 points for each boundary.
• The result is a channel that adapts to segmented price structure rather than just two endpoints.

How to read it:

• Ascending channel → structural uptrend.
• Descending channel → structural downtrend.
• Repeated touches on a boundary → dynamic support/resistance.

Difference from Module 1: Swing Range connects only the first and last swing. Segment Channel uses 5-point regression, making it smoother and less reactive to a single swing.

3️⃣ Swing Point Labels

Detects swing highs and lows and classifies them into 4 market structure categories:

Label

Meaning

Indicates

HL

Higher Low

Bullish structure

HH

Higher High

Bullish structure

LH

Lower High

Bearish structure

LL

Lower Low

Bearish structure

How it works:

• Each new swing low is compared to the previous swing low. Higher → HL. Lower → LL.
• Each new swing high is compared to the previous swing high. Higher → HH. Lower → LH.

How to read it:

• HL + HH sequence → uptrend intact.
• LH + LL sequence → downtrend intact.
• An HL breaking into LL, or an LH breaking into HH → structure shift (BOS/CHoCH).

By default only HL and LH are displayed to keep the chart clean. HH and LL can be enabled for full structure visibility.

4️⃣ Automatic Trend Lines

https://chartshots.spotware.com/c/69d3cc071272e

Draws trend lines connecting the two most recent swing lows (bullish line) and the two most recent swing highs (bearish line). The active line is prominent; previous lines fade out.

How it works:

• New swing low detected → line drawn from prior swing low to the new one (bullish trend line).
• New swing high detected → line drawn from prior swing high to the new one (bearish trend line).
• The line projects forward by a configurable number of bars.
• When a new line is created, the previous one fades to a semi-transparent color.

Breakout signals (optional): When enabled, the indicator detects if the closing price crosses an active trend line:

• 🔼 Up arrow → bullish breakout.
• 🔽 Down arrow → bearish breakout.

Parameter

Purpose

Max Line Pairs

How many line pairs to keep visible. Set to 1 for cleanest view

Max Extension Bars

How far the line projects forward. Prevents lines from crossing the entire chart

5️⃣ Dynamic Regression Zone

The most advanced module. Calculates a linear regression channel on closing prices and overlays an activity profile (histogram) showing where volume or touches concentrated within the channel. It also marks key levels at the highest-activity zones.

A) Regression Channel:

• Least-squares linear regression is applied to closing prices over a given period.
• Standard deviation of prices from the regression line is calculated.
• Upper and lower bands are placed at N standard deviations from the center (default: 2.0).
• Optionally computed in logarithmic scale for better accuracy on high-price or high-volatility instruments.

B) Auto Period Detection:

• The algorithm tests multiple periods (50 to 400 bars) and calculates the Pearson correlation coefficient for each.
• It selects the period with the highest correlation — where the linear regression best fits the price movement.
• The correlation value is displayed on the chart (e.g., R = 0.85).

C) Activity Histogram:

• The channel is divided into horizontal sections (up to 25).
• For each section, the algorithm counts how many bars touched that price level, weighted by volume or number of touches (configurable).
• Higher-activity sections appear as longer, more opaque bars.
• This reveals the Point of Control (POC) and high/low activity zones within the channel.

D) Key Levels:

• The sections with the highest activity are projected forward as horizontal lines.
• They function as volume-based support and resistance within the regression context.

How to read it:

• Price near upper band → statistically overbought zone.
• Price near lower band → statistically oversold zone.
• R close to 1 or -1 → strong, reliable linear trend. R close to 0 → ranging or regression is not significant.
• Key levels act as price magnets — zones with historical activity concentration tend to attract price back.

🎯 Use Cases

Use Case

Modules

Identify market structure (bullish/bearish/range)

Swing Labels + Trend Lines

Detect dynamic support & resistance

Swing Range + Segment Channel

Find value zones by volume

Regression Zone + Key Levels

Confirm structure breaks

Trend Lines + Breakout Signals

Measure trend strength

Pearson Correlation (Regression Zone)

⚙️ Recommended Setup by Style

Style

Suggested Modules

Scalping (M1–M15)

Swing Labels + Trend Lines

Intraday (M15–H1)

All modules

Swing Trading (H4–D1)

Swing Range + Regression Zone + Key Levels

Pure structure analysis

Swing Labels + Trend Lines only

⚠️ Important Notes