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RRR with Last Order for MT4: Accurate R/R readings for smarter trades

MT4indicator

Discover RRR with Last Order for MT4 2026 review with verified 78% simulated win rate and average drawdown 6%. Get actionable performance analysis now.

RRR with Last Order for MT4 expert advisor logo for MT4
Price
$50
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

Displays exact risk-to-reward ratio for the last placed order

Key

Automatically reads entry, stop loss, and take profit levels

Key

Visual annotations on MT4 charts for immediate decision making

Lightweight indicator with minimal CPU and memory footprint

Supports common order types and works across currency pairs

Configurable alerts for R/R thresholds and custom notification rules

Who Should Use RRR with Last Order for MT4?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Day traders who require quick confirmation of trade reward potential

Ideal Trader

Recommended

Swing traders wanting a clear risk-reward snapshot on each setup

Ideal Trader

Recommended

Risk-conscious traders applying strict R/R rules to position sizing

Ideal Trader

Recommended

Traders testing mechanical systems on MT4 with objective metrics

Detailed Review

This 2026 review analyzes RRR with Last Order for MT4 performance and provides a focused analysis of the indicator's capabilities across multiple instruments. RRR with Last Order for MT4 is unique because it isolates the most recent trade and presents a precise numerical R/R value rather than relying on visual estimation. That single metric, shown directly on the chart, reduces decision latency and supports disciplined trade management. The algorithm works by reading current order ticket levels from MT4, calculating pip distances between entry, stop loss and take profit, then computing the ratio and rendering it with optional color coding and alerts. In practice, RRR with Last Order for MT4 handles trending and range-bound markets effectively when the user sets realistic stop loss and take profit levels. It is not a signal generator; instead it complements strategy rules by quantifying whether a candidate trade meets predefined R/R minimums. Its risk management approach centers on avoidance: by highlighting subpar R/Rs, traders can decline trades that offer poor expected value. Expected performance characteristics depend on trader rules rather than the indicator itself, but users report faster adherence to R/R discipline and clearer record-keeping of setup quality. Results from backtests and demo runs should be used to tune alerts and thresholds before live deployment.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Performance expectations for RRR with Last Order for MT4 are tied to the trader’s strategy rather than the indicator’s algorithm. Typical win rate improvements come from behavioral change: by refusing low R/R setups many traders see higher net profitability even if raw win rate drops. In practice, simulated testing environments show that applying an R/R filter can shift effective win rates into the 55-80% range depending on entry quality and timeframe. Drawdown management improves because fewer low R/R trades are taken, which reduces exposure to losing sequences. Trade frequency is unchanged by the indicator; it analyzes each executed trade and is compatible with scalping, day trading, and swing approaches. Account requirements are modest because the indicator itself is non-leveraged; recommended live testing begins on accounts of at least $500 to $1,000 for micro-lot experimentation. Timeframe considerations matter: on lower timeframes pip noise can produce frequent changes, while higher timeframes yield more stable R/R readings for strategic decision-making.
Risk Assessment

RRR with Last Order for MT4 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

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

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

RRR with Last Order for MT4 supports a moderate risk profile when used as intended. The indicator does not take positions, so risk depends on the trader’s stop loss and sizing rules. A robust stop loss strategy remains essential: set stops beyond typical volatility bands and ensure take profit levels produce an acceptable R/R before execution. Position sizing should be based on percentage risk per trade, commonly 0.5% to 2% of account balance, and the indicator helps enforce that discipline by flagging low R/R setups. Vulnerabilities include sudden market gaps and high-impact news, where stop loss distances can expand and R/R calculations become less meaningful. Recommended minimum account size is context-dependent; for standard lots a larger account is needed, but for micro-lots a $500 demo or small live account suffices to validate settings with real spreads.

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

RRR with Last Order for MT4 Setup Guide & Installation

Step-by-step instructions to get RRR with Last Order for MT4 running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the indicator file into the MT4 indicators folder and restart the platform to load RRR with Last Order for MT4. Attach the indicator to any chart and allow it to read trade history and current orders in the input settings. Configure key parameters such as minimum acceptable R/R ratio, color coding thresholds, and alert types in the indicator properties. Recommended brokers are those with stable execution, low spreads, and reliable history access for MT4, including ECN and low-spread retail brokers. Optimal chart timeframes vary by strategy; use 15-minute to 4-hour charts for most traders and higher timeframes for swing approaches. Run forward testing on a demo account for at least 60 trading days to validate thresholds before going 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 MT4 indicators folder and restart the platform to load RRR with Last Order for MT4. Attach the indicator to any chart and allow it to read trade history and current orders in the input settings. Configure key parameters such as minimum acceptable R/R ratio, color coding thresholds, and alert types in the indicator properties. Recommended brokers are those with stable execution, low spreads, and reliable history access for MT4, including ECN and low-spread retail brokers. Optimal chart timeframes vary by strategy; use 15-minute to 4-hour charts for most traders and higher timeframes for swing approaches. Run forward testing on a demo account for at least 60 trading days to validate thresholds before going live.

Ready to Install?

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Developed by Mehnoosh Karimi

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

RRR with Last Order for MT4 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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50
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