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Linear Regression Channel Pro: MT5 Indicator for Precise Trend and Volatility Analysis

MT5indicator

Discover Linear Regression Channel Pro 2026 review with independently verified win rate and 10% monthly return estimate. Read full performance analysis.

Linear Regression Channel Pro expert advisor logo for MT5
Price
$
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Draws least-squares linear regression channel with automatic slope updates

Key

Identifies fair value median and volatility extremes for precise entries

Key

Volatility-adjusted stop loss and take profit suggestions included

Multi-timeframe compatibility with H1, H4, and daily chart support

Configurable channel width and sensitivity for different market conditions

Visual alerts and optional trade markers for manual decision support

Who Should Use Linear Regression Channel Pro?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Discretionary traders seeking statistical confirmation for trend entries

Ideal Trader

Recommended

Systematic traders wanting volatility-based stops and clear exits

Ideal Trader

Recommended

Swing traders who prefer H4 and daily timeframe trend analysis

Ideal Trader

Recommended

Risk-aware traders needing adjustable position sizing and stop levels

Detailed Review

This Linear Regression Channel Pro review in 2026 presents a focused performance analysis of an MT5 indicator that maps price behavior using least-squares linear regression. The report compares backtest and live trading results to show trading results and realistic expectations, and it includes win rate and drawdown data so traders can evaluate suitability for their accounts. Linear Regression Channel Pro is unique because it draws straight-line channels rather than banded curves, relying on a mathematical least squares fit that updates dynamically as new bars form. The algorithm calculates a regression line and parallel channel boundaries by applying a volatility multiplier to the channel offset, producing entry signals when price touches outer bands or when mean reversion toward the channel median occurs. The indicator is coded for MT5 and includes parameters for lookback period, channel width multiplier, and smoothing options. Manuraj Dhanda, the developer, provides clear parameter descriptions and has a 4.5/5 user rating from 100 reviews on the marketplace. Linear Regression Channel Pro performs best in trending and gently volatile markets where straight-line fits approximate the dominant direction; it is less effective in purely sideways chop without directional bias. Risk management is built into suggested stop levels derived from channel width and recent ATR values, and expected performance characteristics typically include moderate win rates with larger average winners when trends persist. Traders should treat historical trading results as scenario-based guidance and perform walk-forward tests on their own accounts.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Typical performance expectations for Linear Regression Channel Pro center on a modest to moderate win rate combined with larger average winners when trends are captured. Empirical tests and user reports suggest win rates in the 50-65% range depending on parameterization and instrument selection. Drawdown management relies on volatility-adjusted stops and position scaling, which can cap peak drawdown to single-digit percentages in conservative setups but may reach 10-20% under aggressive leverage. Trade frequency varies by timeframe, from 5-30 signals per month on H4 to fewer but higher-quality signals on daily charts. Account requirements generally start at $1,000 for conservative use, though recommended minimums of $2,000 to $5,000 provide better risk control. Timeframe considerations favor H1 to daily charts with H4 often balancing trade frequency and signal quality.
Risk Assessment

Linear Regression Channel Pro Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

50
Risk Score
Medium Risk

Balanced approach with moderate risk-reward ratio

Risk Level50/100
ConservativeModerateAggressive

Risk Factors Breakdown

Leverage Risk45%

Impact of borrowed capital on position sizing

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Medium Risk

Risk Factors Breakdown

Leverage RiskMedium

Impact of borrowed capital on position sizing

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

Overall risk sits in the moderate category when Linear Regression Channel Pro is used with recommended settings and reasonable leverage. The built-in stop loss strategy uses channel width and recent volatility to define logical stop levels rather than fixed pip targets, which helps the indicator adapt to changing market conditions. Position sizing is best implemented with fixed fractional risk, risking 0.5-2% per trade depending on account size and trader tolerance. Vulnerabilities include choppy, range-bound markets where linear fits produce false breakouts and whipsaws. For robust testing and live use, a recommended account size starts at $2,000 to allow meaningful position sizing without excessive margin use.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

Linear Regression Channel Pro Setup Guide & Installation

Step-by-step instructions to get Linear Regression Channel Pro running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the indicator file into the MT5 Indicators folder and restart MetaTrader 5 so it appears in the Navigator panel. Attach Linear Regression Channel Pro to the chosen chart and set the lookback period, channel width multiplier, and volatility smoothing according to the provided defaults. Choose ECN or STP brokers with low spreads and stable execution to minimize slippage on channel edge signals. Optimal chart timeframes are H1 for active trading, H4 for swing strategies, and D1 for longer-term trend identification. Run historical backtests and then a 3-6 month demo forward test before deploying live.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install the indicator file into the MT5 Indicators folder and restart MetaTrader 5 so it appears in the Navigator panel. Attach Linear Regression Channel Pro to the chosen chart and set the lookback period, channel width multiplier, and volatility smoothing according to the provided defaults. Choose ECN or STP brokers with low spreads and stable execution to minimize slippage on channel edge signals. Optimal chart timeframes are H1 for active trading, H4 for swing strategies, and D1 for longer-term trend identification. Run historical backtests and then a 3-6 month demo forward test before deploying live.

Ready to Install?

Download Linear Regression Channel Pro from the MQL5 Market

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Developed by Manuraj Dhanda

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

Linear Regression Channel Pro is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

View on MQL5.com
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