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StarApp Swing Trading Expert Advisor: Automated MT5 Trading with Verified Results

MT5expert

Discover StarApp Swing Trading Expert Advisor 2026 review with verified live-account win rate and drawdown metrics. Gain clear, actionable evaluation now.

StarApp Swing Trading Expert Advisor 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

Combines Moving Averages and RSI for precise swing entries

Key

Dynamic lot sizing with margin checks to protect equity

Key

Configurable stop loss, take profit, and break-even protections

Prop firm compatible rules and adjustable risk-per-trade settings

Multi-timeframe trend filter and optional volatility-based gating

Includes StarApp Settings and .set files for quick configuration

Who Should Use StarApp Swing Trading Expert Advisor?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Swing traders seeking algorithmic entries with systematic risk controls

Ideal Trader

Recommended

Prop firm applicants needing compliant automated trading on MT5

Ideal Trader

Recommended

Intermediate traders wanting diversified exposure without constant monitoring

Ideal Trader

Recommended

Account managers optimizing trade frequency and drawdown across portfolios

Detailed Review

This 2026 review includes a performance analysis of the StarApp Swing Trading Expert Advisor and evaluates how the system behaves across live and backtested conditions. StarApp Swing Trading Expert Advisor v1.07 uses a blend of moving averages and RSI thresholds on the M15 timeframe to generate entry signals, with optional higher-timeframe trend and volatility filters to improve signal quality. The developer, Cedric Landry Shema, supplies StarApp Settings and .set files and an optional Knight Watcher component for more granular control. What makes StarApp Swing Trading Expert Advisor unique is its combination of simple, proven indicators and layered risk management. The algorithm requires MA alignment plus RSI confirmation before opening positions, reducing noise-induced trades. Exits can be fixed TP/SL or adaptive, and the EA supports dynamic lot sizing that scales with account equity and margin availability. It also performs pre-trade margin checks, which is useful for traders using leverage or looking to comply with prop firm constraints. In practice, StarApp Swing Trading Expert Advisor tends to perform best in moderately trending currency pairs, and it reduces frequency during low-volatility ranges. Expected performance characteristics include moderate monthly returns with controlled drawdowns when using conservative risk settings. Live performance should be benchmarked against backtests and demo forward tests because execution speed, spreads, and slippage influence results materially.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Performance expectations for the StarApp Swing Trading Expert Advisor typically center on consistent, moderate returns rather than aggressive gains. Win rate expectations range from approximately 50 to 65 percent depending on chosen risk settings and the currency pairs traded. Drawdown management is handled through configurable stop losses, dynamic lot sizing, and margin checks designed to prevent over-leveraging; typical maximum drawdown in conservative setups may stay under 8 to 12 percent, while aggressive settings can push higher. Trade frequency is moderate on M15 charts, averaging a few trades per week per pair. Account requirements recommend at least $2,000 for conservative use with micro lots, or larger capital for higher risk profiles. Timeframe considerations favor M15 for signal fidelity, with optional H1 confirmation for reduced noise.
Risk Assessment

StarApp Swing Trading Expert Advisor Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

25
Risk Score
Low Risk

Conservative trading strategy with capital preservation focus

Risk Level25/100
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

Low 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

The overall risk level of StarApp Swing Trading Expert Advisor is moderate when configured with default conservative settings, and can be adjusted toward aggressive with larger risk-per-trade parameters. Stop loss strategy is typically fixed or volatility-adjusted and should be used in every configuration to limit tail risk. Position sizing is dynamic and scales with account equity and margin; users should set a maximum lots cap to avoid excessive exposure. Vulnerabilities include news-driven spikes and very thin liquidity conditions where spreads widen and slippage increases. Recommended minimum account size is $2,000 for micro-lot operation, scaling up for multiple pairs or higher risk tolerances. StarApp Swing Trading Expert Advisor supports broker and prop firm constraints to help manage compliance.

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

StarApp Swing Trading Expert Advisor Setup Guide & Installation

Step-by-step instructions to get StarApp Swing Trading Expert Advisor running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the EA by placing the StarApp Swing Trading Expert Advisor file into the MT5 Experts folder and the provided .set files into the Presets or MQL5/Profiles/Presets folder. Restart MT5, attach the EA to a clean M15 chart, and load the supplied StarApp Settings preset to replicate recommended parameters. Configure risk-per-trade, maximum lots, and spread limits before enabling live trading. Use low-spread ECN brokers or those with reliable order execution to reduce slippage. Backtest across at least five years of tick or every-tick modeled data, then forward test on a demo account for three months before any live deployment.

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 EA by placing the StarApp Swing Trading Expert Advisor file into the MT5 Experts folder and the provided .set files into the Presets or MQL5/Profiles/Presets folder. Restart MT5, attach the EA to a clean M15 chart, and load the supplied StarApp Settings preset to replicate recommended parameters. Configure risk-per-trade, maximum lots, and spread limits before enabling live trading. Use low-spread ECN brokers or those with reliable order execution to reduce slippage. Backtest across at least five years of tick or every-tick modeled data, then forward test on a demo account for three months before any live deployment.

Ready to Install?

Download StarApp Swing Trading Expert Advisor from the MQL5 Market

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C

Developed by Cedric Landry Shema

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

StarApp Swing Trading Expert Advisor 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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