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Discover Sarah green 2026 review with verified live MT5 results, 4.5 rating, win rate and drawdown stats to evaluate risk and improve trading decisions.
Core approach and methodology
Powerful capabilities designed for professional trading
Fully automated MT5 EA with configurable symbols and timeframes
Multiple risk presets including 20%, 40%, 60%, 80%, 100% position sizing
Dynamic lot calculation based on account balance and margin requirements
Broker lot size normalization and validation to prevent invalid order rejections
Margin requirement checking and loss protection routines for safer trading
Configurable trade filters and technical indicators for trend and range markets
This expert advisor is designed for these trader profiles
Active MT5 traders seeking automated strategies with adjustable risk controls and presets
Moderate risk investors wanting consistent returns with verified performance statistics
Developers and analysts testing EA behavior across brokers and timeframes on MT5
Traders with small accounts needing dynamic lot sizing and margin-aware trading
This Review of Sarah green in 2026 presents a Performance Analysis of version 3.5 running on MetaTrader 5. Sarah green is a fully automated expert advisor developed by Thabang John Wotsa, priced at $70 and holding a community rating of 4.5 out of 5 from 100 reviews. The EA targets any forex pair with configurable timeframes and supplies live and backtest metrics to set realistic expectations. This Review prioritizes verified trading results, drawdown behavior, and configuration flexibility for practical deployment. What distinguishes Sarah green is its risk-first architecture: multiple risk presets (20%, 40%, 60%, 80%, 100%), dynamic lot calculation tied to account balance, and broker lot size normalization to avoid sizing errors across providers. The algorithm uses technical signal filters that combine trend confirmation with volatility checks, reducing false entries in choppy markets and favoring continuation setups in trending conditions. Version 3.5 introduced margin requirement checking and improved loss protection routines, which materially reduced order rejections in recent internal tests. The algorithm handles moderately trending pairs best, with lower reliability during extreme news events and thin liquidity periods. Sarah green blends short to medium term trades with a moderate trade frequency configurable by timeframe; typical setups produce tens of trades per month on major pairs. The EA’s approach to risk management emphasizes position sizing, margin requirement checks and conservative stop rules rather than speculative pyramiding or martingale, which supports steadier equity curves. The EA logs key metrics to the terminal and exports reports for independent analysis, enabling data-driven tuning. Expected performance varies by preset: lower risk setups prioritize drawdown control while higher presets increase exposure and return potential. Practical deployment requires demo forward testing on MT5, broker-specific optimization, and conservative money management before live capital allocation.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Impact of borrowed capital on position sizing
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Impact of borrowed capital on position sizing
Built-in protection mechanisms and controls
Step-by-step instructions to get Sarah green running on your MT5 platform
Install Sarah green v3.5 by copying the EA file into your MT5 Experts folder, refreshing the Navigator pane, and attaching the EA to a chart. Allow automated trading, enable DLLs only if required, and load recommended input presets supplied by the developer. Key parameters are risk preset, timeframe, symbol list, and maximum simultaneous trades; begin with the 20% preset for initial validation. Choose ECN or STP brokers with low spreads and standard lot increments to match the lot normalization logic. Run backtests with at least six months of tick data, then perform a 3-month forward demo test before using live funds.
Download Sarah green from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
![]() Sarah green | MT5 | - | - | - | $70 | Current |
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Sarah green is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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