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I am the founder of Moreland Algorithmic, a UK-based trading technology company focused on the research, development and deployment of proprietary automated trading systems.
My primary interest lies in systematic trading: taking a trading concept, defining it objectively, testing it across large amounts of historical market data, and refining it into a rules-based system that can operate without discretionary intervention. I am particularly interested in the relationship between strategy logic, position sizing, drawdown, execution costs and long-term risk-adjusted performance.
Moreland Algorithmic was created around the belief that automated trading software should be approached as a serious research and engineering discipline rather than simply as a collection of indicators or short-term backtest results. Every system we develop is built around clearly defined market logic, predetermined risk controls and repeatable execution.
A significant part of my work involves historical testing, out-of-sample validation and forward testing. I place considerable emphasis on understanding not only how much a strategy has made historically, but also how it made those returns. Metrics such as drawdown, profit factor, expectancy, Sharpe ratio, Sortino ratio, Calmar ratio, volatility, trade duration, execution costs and month-by-month consistency are all important parts of that assessment.
I am also particularly interested in risk scaling. A strategy can behave very differently when risk is increased, and I believe it is important to test different risk configurations independently rather than simply assuming that returns and drawdowns will scale linearly. This forms an important part of the research methodology behind Moreland Algorithmic systems.
Our current work includes Moreland System 1, a proprietary XAUUSD support-reversal system, and Moreland System 2, an adaptive momentum-based automated trading system. Both systems are designed around systematic execution and clearly defined risk parameters, while the underlying strategy logic remains proprietary.
Moreland Algorithmic develops software for both MetaTrader 5 and cTrader, with the objective of providing professionally engineered automated trading systems across widely used trading environments.
My approach is deliberately research-led. I am far more interested in understanding how a system behaves across different market conditions than presenting a single impressive equity curve. Strong historical returns are useful, but they mean considerably more when they are accompanied by transparent methodology, sensible risk controls, realistic transaction costs and subsequent validation on previously unseen market data.
I also believe that automated trading systems should give the user control over risk, rather than exposing unnecessary internal strategy parameters. The underlying trading logic should remain consistent, while the user is able to determine the level of account risk appropriate for their own circumstances.
Through the MQL5 community, I intend to share updates on our development work, research findings, testing methodology and the continued development of Moreland Algorithmic systems.
My aim is to build Moreland Algorithmic into a recognised trading technology brand based on research, disciplined execution, defined risk and measurable performance, rather than exaggerated claims or short-term results.
More information about our work can be found at:
www.morelandalgorithmic.com
Jack Wilde
Founder
Moreland Algorithmic
My primary interest lies in systematic trading: taking a trading concept, defining it objectively, testing it across large amounts of historical market data, and refining it into a rules-based system that can operate without discretionary intervention. I am particularly interested in the relationship between strategy logic, position sizing, drawdown, execution costs and long-term risk-adjusted performance.
Moreland Algorithmic was created around the belief that automated trading software should be approached as a serious research and engineering discipline rather than simply as a collection of indicators or short-term backtest results. Every system we develop is built around clearly defined market logic, predetermined risk controls and repeatable execution.
A significant part of my work involves historical testing, out-of-sample validation and forward testing. I place considerable emphasis on understanding not only how much a strategy has made historically, but also how it made those returns. Metrics such as drawdown, profit factor, expectancy, Sharpe ratio, Sortino ratio, Calmar ratio, volatility, trade duration, execution costs and month-by-month consistency are all important parts of that assessment.
I am also particularly interested in risk scaling. A strategy can behave very differently when risk is increased, and I believe it is important to test different risk configurations independently rather than simply assuming that returns and drawdowns will scale linearly. This forms an important part of the research methodology behind Moreland Algorithmic systems.
Our current work includes Moreland System 1, a proprietary XAUUSD support-reversal system, and Moreland System 2, an adaptive momentum-based automated trading system. Both systems are designed around systematic execution and clearly defined risk parameters, while the underlying strategy logic remains proprietary.
Moreland Algorithmic develops software for both MetaTrader 5 and cTrader, with the objective of providing professionally engineered automated trading systems across widely used trading environments.
My approach is deliberately research-led. I am far more interested in understanding how a system behaves across different market conditions than presenting a single impressive equity curve. Strong historical returns are useful, but they mean considerably more when they are accompanied by transparent methodology, sensible risk controls, realistic transaction costs and subsequent validation on previously unseen market data.
I also believe that automated trading systems should give the user control over risk, rather than exposing unnecessary internal strategy parameters. The underlying trading logic should remain consistent, while the user is able to determine the level of account risk appropriate for their own circumstances.
Through the MQL5 community, I intend to share updates on our development work, research findings, testing methodology and the continued development of Moreland Algorithmic systems.
My aim is to build Moreland Algorithmic into a recognised trading technology brand based on research, disciplined execution, defined risk and measurable performance, rather than exaggerated claims or short-term results.
More information about our work can be found at:
www.morelandalgorithmic.com
Jack Wilde
Founder
Moreland Algorithmic
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Jack Moreland Wilde
已发布产品
MORELAND SYSTEM 1 XAUUSD H1 专有支撑位反转自动交易系统 Moreland System 1 是由 Moreland Algorithmic 开发的专有自动交易系统，专门用于 XAUUSD 的 H1 时间周期。 该系统基于结构化的支撑位反转逻辑、系统化执行以及明确的风险控制而构建。系统旨在识别符合条件的市场环境，根据用户设定的风险水平计算仓位规模，并依据内部规则自动管理交易。 系统的核心策略逻辑、入场阈值、确认规则以及专有参数均受到保护。用户可以控制账户风险水平，而核心交易逻辑保持不变。 http://www.morelandalgorithmic.com 交易方法 Moreland System 1 专注于寻找 XAUUSD 重要支撑区域附近的结构化反转机会。 该策略完全基于规则运行，在启用后无需用户进行主观判断来决定入场。 主要特征包括： 专门针对 XAUUSD 的交易逻辑 H1 时间周期 支撑位反转方法 自动市场分析 自动仓位规模计算 明确的止损保护 结构化盈利目标 自动交易管理 基于百分比的风险设置 账户级风险保护控制 试探性仓位入场结构 System
Jack Moreland Wilde
Moreland Algorithmic is now live.
We are pleased to announce the launch of Moreland Algorithmic, a UK-based trading technology company dedicated to the design and development of proprietary automated trading systems.
Our approach is built around three core principles:
defined logic, disciplined risk management, and rigorous testing.
Each system is developed with a focus on structure and consistency, with the aim of producing robust automated strategies suited to real-market conditions.
We will be using this page to share updates on our systems, development process, and research over time.
Visit us at:
www.morelandalgorithmic.com
We are delighted to join the MQL5 community and look forward to contributing here.
We are pleased to announce the launch of Moreland Algorithmic, a UK-based trading technology company dedicated to the design and development of proprietary automated trading systems.
Our approach is built around three core principles:
defined logic, disciplined risk management, and rigorous testing.
Each system is developed with a focus on structure and consistency, with the aim of producing robust automated strategies suited to real-market conditions.
We will be using this page to share updates on our systems, development process, and research over time.
Visit us at:
www.morelandalgorithmic.com
We are delighted to join the MQL5 community and look forward to contributing here.