MQL5 ADVANCED: Risk Management for Algorithmic Trading

所在平台: Udemy

课程主页: https://www.udemy.com/course/mql5-advanced-risk-management-for-algorithmic-trading/

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课程名称:MQL5高级:算法交易的风险管理 课程概述: 成功从市场中持续获利的交易需要三个支柱:良好的交易策略、良好的交易心理和良好的资金管理计划。其中,资金管理通常是最少被关注的内容,但它实际上是交易者持续获取市场收益的最重要工具。忽视资金管理是各种交易策略无论是手动交易还是自动交易失败的主要原因。 资金管理的主要概念在于承认每笔交易所面临的风险。它反映了交易者对未来最坏情况的认识,帮助交易者确定他们在不影响未来交易能力的情况下愿意损失多少。 在本课程中,我将分享如何将资金管理能力融入算法交易软件,以确保你的自动化策略遵循你的资金管理政策。我将详细而简单地向你阐述多种风险管理形式,并指导你如何将这些能力编码到专家顾问中。我还会解释在不同情况下可以使用哪些类型的风险管理,并突出它们在算法交易中的优缺点。 丰富你的算法交易软件以包含适当的自动资金管理协议是成为持续盈利交易者的重要方面,因此我邀请你立即点击注册,加入我,一起探索使用MQL5算法交易语言进行风险管理协议的整合。 你将学到的内容: 1. 如何使用MQL5创建突破专家顾问 2. 如何按余额的百分比管理每笔交易风险 3. 如何按权益的百分比管理每笔交易风险 4. 如何按固定余额的百分比管理每笔交易风险 5. 如何按自由保证金的百分比管理每笔交易风险 6. 如何按固定金额管理每笔交易风险 7. 如何使用Lot Step或自动Lot管理风险 8. 如何实现马丁格尔策略 9. 如何实现反马丁格尔策略 10. 如何实现半马丁格尔策略 此课程将深入探讨风险管理在算法交易中的重要性,帮助你成为更成功的交易者。

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There are three pillars of trading that are prerequisite to consistently profiting from the markets. These include having a good trading strategy, having a good trading psychology and having a good money management plan in place.Money management is usually the least focused on yet it is the most important tool a trader can use to continue reaping benefits from the market. Its neglect is the major cause of failure in most trading strategies regardless of whether they are manual, or automated.The main concept of money management lies in the acknowledgment of risk in every trade executed in the market. It is a reflection of awareness on what the future holds in the worst case scenario for every trade entered. It can assist a trader in determining how much they are willing to lose without affecting their ability to trade in the future.In this course, I will be sharing with you some knowledge on how to incorporate Money management capabilities into algorithmic trading softwares to ensure that your automated strategies respect the money management policies of your preferences.I will walk you through the many different forms of risk management and explain to you in great depth and simplicity on how we can code these different capabilities into an expert advisor.I shall explain on different scenarios where you may use each type of risk management and highlight its strengths and weaknesses in algorithmic trading.Enriching your algorithmic trading softwares with proper and automated money management protocols is a very crucial aspect of being a consistently profitable trader and that is why I am inviting you to press hard on that enroll button now, and join me as I guide you through the thick jungle of risk management protocol incorporation using the MQL5 algorithmic trading language.What you will learn:1. How to create a Breakout expert advisor with MQL52. How to risk a percentage of Balance per trade with MQL53. How to risk a percentage of Equity per trade with MQL54. How to risk a percentage of fixed balance per trade with MQL55. How to risk a percentage of free margin per trade with MQL56. How to risk a fixed amount of money per trade with MQL57. How to risk use Lot Step or Auto Lot in MQL58. How to implement Martingale with MQL59. How to implement Anti-Martingale with MQL510. How to implement Semi-Martingale with MQL5

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