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MT5 Expert Advisor Developer | Risk Management Specialist
在
MQL5
Profile Bio Draft
*"I am an MT5 developer from South Africa specializing in Expert Advisors and automated trading solutions. My focus is on clean code architecture, dynamic risk management, and conservative strategies that deliver consistent, reliable results. Every project I deliver includes a comprehensive backtest report (99% quality, covering 3–5 years) so clients can verify performance and logic with confidence.
I collaborate closely with traders to tailor money management rules to their preferences, ensuring that each EA is not only technically sound but also aligned with their trading style. My goal is to help clients achieve stability, profitability, and long‑term success in the markets.
Whether you need a custom EA, risk management utility, or signal setup, I bring professionalism, transparency, and dedication to every project."*
*"I am an MT5 developer from South Africa specializing in Expert Advisors and automated trading solutions. My focus is on clean code architecture, dynamic risk management, and conservative strategies that deliver consistent, reliable results. Every project I deliver includes a comprehensive backtest report (99% quality, covering 3–5 years) so clients can verify performance and logic with confidence.
I collaborate closely with traders to tailor money management rules to their preferences, ensuring that each EA is not only technically sound but also aligned with their trading style. My goal is to help clients achieve stability, profitability, and long‑term success in the markets.
Whether you need a custom EA, risk management utility, or signal setup, I bring professionalism, transparency, and dedication to every project."*
Simon James Paul Bosman
Updated post — with the honest closing line
Building RangerEA — from a broken compiler to a trend-regime edge (honest dev log)
I've been building RangerEA, a hybrid trend-following Expert Advisor, and I want to share the real journey so far — including the failures, because that's where the actual engineering happened.
The design (Phase 4 — hybrid trending bot) RangerEA combines four engines: a 200-period EMA trend engine with slope confirmation, an RSI + ADX momentum engine, an ATR volatility filter, and strict session/spread/risk management. Risk is fixed-fractional (0.75% per trade), stops are ATR-based (2×ATR), targets 4×ATR, with an adaptive trailing stop.
The setbacks (the part most developers skip sharing)
The build originally arrived truncated mid-code — it wouldn't even compile.
First full backtests were sobering: EURUSD 2015–2026 returned a profit factor of 0.89 and a 93% drawdown. Not sellable. Not close.
The original trailing stop was quietly destroying the edge — it cut winners at roughly 1:1 reward/risk, turning a 2:1 design into a coin flip minus costs.
The process that turned it around Instead of tweaking blindly, I ran structured experiments: 20+ backtests across exit variants, filter scans (ADX 20/25/30, EMA slope 10/15/20), and multi-asset testing — always with walk-forward validation and out-of-sample checks.
Key findings:
Raising filters didn't create edge — it just traded less often.
The Daily-regime filter never engaged (a valuable negative result).
The real edge lived in higher-timeframe confirmation: requiring the H1 signal to agree with the H4 trend (slope ≥ 20 pts, H4 ADX ≥ 20).
Where it stands now (USDJPY H1, 2015–2026, verified out-of-sample):
Full-period: PF 1.03, +30% on deposit — first net-positive 11.5-year run
Out-of-sample 2021–2026: PF 1.09, +57%, max DD 22.7%, Sharpe 1.02, 51.4% win rate
Remaining challenge: range markets (2015–2020) still bleed — the bot is a trend-regime specialist.
And the honest caveat that makes this a real product, not a fantasy: Rigorous multi-pair testing shows the confirmed edge is specific to USDJPY's trending regimes — the same strategy on EURUSD H1 tests negative (PF 0.89). That's exactly why RangerEA v3.23 is positioned transparently as a USDJPY trend-regime specialist: a niche bot with verifiable numbers, tested to death on one pair, rather than a multi-market promise that fails on a buyer's first backtest day.
Roadmap before commercial release: range-regime detection to cut the 2015–2020-style bleed, realistic-cost retests (spread + commission + slippage), and 2–3 months live demo forward testing.
Development continues — I'll post the walk-forward and live-demo results as they land. Not financial advice.
Building RangerEA — from a broken compiler to a trend-regime edge (honest dev log)
I've been building RangerEA, a hybrid trend-following Expert Advisor, and I want to share the real journey so far — including the failures, because that's where the actual engineering happened.
The design (Phase 4 — hybrid trending bot) RangerEA combines four engines: a 200-period EMA trend engine with slope confirmation, an RSI + ADX momentum engine, an ATR volatility filter, and strict session/spread/risk management. Risk is fixed-fractional (0.75% per trade), stops are ATR-based (2×ATR), targets 4×ATR, with an adaptive trailing stop.
The setbacks (the part most developers skip sharing)
The build originally arrived truncated mid-code — it wouldn't even compile.
First full backtests were sobering: EURUSD 2015–2026 returned a profit factor of 0.89 and a 93% drawdown. Not sellable. Not close.
The original trailing stop was quietly destroying the edge — it cut winners at roughly 1:1 reward/risk, turning a 2:1 design into a coin flip minus costs.
The process that turned it around Instead of tweaking blindly, I ran structured experiments: 20+ backtests across exit variants, filter scans (ADX 20/25/30, EMA slope 10/15/20), and multi-asset testing — always with walk-forward validation and out-of-sample checks.
Key findings:
Raising filters didn't create edge — it just traded less often.
The Daily-regime filter never engaged (a valuable negative result).
The real edge lived in higher-timeframe confirmation: requiring the H1 signal to agree with the H4 trend (slope ≥ 20 pts, H4 ADX ≥ 20).
Where it stands now (USDJPY H1, 2015–2026, verified out-of-sample):
Full-period: PF 1.03, +30% on deposit — first net-positive 11.5-year run
Out-of-sample 2021–2026: PF 1.09, +57%, max DD 22.7%, Sharpe 1.02, 51.4% win rate
Remaining challenge: range markets (2015–2020) still bleed — the bot is a trend-regime specialist.
And the honest caveat that makes this a real product, not a fantasy: Rigorous multi-pair testing shows the confirmed edge is specific to USDJPY's trending regimes — the same strategy on EURUSD H1 tests negative (PF 0.89). That's exactly why RangerEA v3.23 is positioned transparently as a USDJPY trend-regime specialist: a niche bot with verifiable numbers, tested to death on one pair, rather than a multi-market promise that fails on a buyer's first backtest day.
Roadmap before commercial release: range-regime detection to cut the 2015–2020-style bleed, realistic-cost retests (spread + commission + slippage), and 2–3 months live demo forward testing.
Development continues — I'll post the walk-forward and live-demo results as they land. Not financial advice.
Simon James Paul Bosman
Title: RangerEA Development Update – Hybrid Trend Bot Progress
RangerEA is a hybrid Expert Advisor designed for traders who value precision, risk control, and adaptability. Built for MetaTrader 5, it combines trend, momentum, volatility, and regime filters to identify high‑probability entries while maintaining conservative exposure.
This version (Phase 4) represents a fully stable release — optimized for reliability, transparency, and consistent performance across major pairs and metals.
RangerEA is a hybrid Expert Advisor designed for traders who value precision, risk control, and adaptability. Built for MetaTrader 5, it combines trend, momentum, volatility, and regime filters to identify high‑probability entries while maintaining conservative exposure.
This version (Phase 4) represents a fully stable release — optimized for reliability, transparency, and consistent performance across major pairs and metals.
Simon James Paul Bosman
Title: RangerEA Development Update – Hybrid Trend Bot Progress
Body:
*"I’m currently developing RangerEA v3.22, a hybrid trending bot that combines EMA slope, RSI momentum, ADX strength, and ATR volatility filters. The goal is to achieve stable, conservative trading performance suitable for signal publishing and EA sales.
Recent backtests on GOLD H1 using Trend Pro confirmation show a 74% TP1 hit rate, which aligns well with RangerEA’s risk management rules. Next steps include demo deployment, trailing stop optimization, and preparing the EA for MQL5 Market listing.
Follow my profile for updates — RangerEA will soon be available as both a trading signal and a market product."*
Body:
*"I’m currently developing RangerEA v3.22, a hybrid trending bot that combines EMA slope, RSI momentum, ADX strength, and ATR volatility filters. The goal is to achieve stable, conservative trading performance suitable for signal publishing and EA sales.
Recent backtests on GOLD H1 using Trend Pro confirmation show a 74% TP1 hit rate, which aligns well with RangerEA’s risk management rules. Next steps include demo deployment, trailing stop optimization, and preparing the EA for MQL5 Market listing.
Follow my profile for updates — RangerEA will soon be available as both a trading signal and a market product."*
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