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所在平台: Udemy |
课程主页: https://www.udemy.com/course/neural-network-trading-bot/
课程评论：没有评论
课程名称：神经网络交易机器人 课程概述：本课程将教授从零开始构建交易机器人的基础知识，该机器人将利用神经网络根据提供的历史价格波动数据做出决策。课程分为四个模块： 1. **网络通信基础**：该部分探讨HTTP请求的基本概念，介绍API接口的基础知识，并详细说明如何阅读API文档。 2. **从零开始构建交易机器人**：这一部分使用Python 3创建交易机器人，从交易所获取数据，并根据蜡烛图的特征做出买入或卖出的决策，展示经典编程方法的示例。 3. **市场指标**：此部分涵盖基本市场指标，如SMMA、Stoch、StochRSI和止损。同时也解释了交易策略，如蜡烛图反转及其背后的数学原理。 4. **神经网络**：这一部分将在前述基础上进行，使用Gekko作为初始工作交易机器人，并在此基础上构建使用神经网络的策略，涵盖神经网络的基础知识，展示机器学习方法解决问题的优秀示例。 5. **未来展望**：该部分将给出关于课程未来发展的建议，讨论课程如何扩展到加密货币以外的领域及其更多可能性。 本课程仅用于教育目的，课程中提到的财务概念不应视为专业或财务建议。因部署本课程所创建的机器人而产生的任何利润或损失均由用户自行承担。 希望您在探索构建交易机器人的深层次内容时获得乐趣。祝您编程愉快，Vinay Phadnis :)
This course teaches the fundamentals of building a Trading Bot from scratch which will use Neural Networks to make a decision based on the training data which has been provided consisting of the historical price movements.This course is divided into 4 modulesNetwork Communication Basics: This section deals with exploring the basics of HTTP requests. API interfaces are something which are dealt from the basics. Documentation reading of an API is also explained in good detail.Building a Trading Bot from scratch: This section deals with the creation of a Trading Bot from scratch using Python 3. This bot will get the data from an exchange and then make decisions of buying or selling. These decisions will be made based on the nature of the candle graph. This will act as a very good example of a classical programming approach.Market Indicators: This section deals with the basic market indicators like SMMA, Stoch, StochRSI and StopLoss. Trading strategies are also explained like bar-chart reversal along with the mathematics supporting them.Neural Network: This section will act on the foundation established in the previous section where a basic trading bot framework called Gekko will be used as an intial working trading bot. A strategy which will use neural network will then be built on top of this trading bot. This section will also cover the basics of Neural Networks and act as a very good example of a Machine learning approach to solve problemsFuture scope: This section will give suggestions on the future scope of this course. The extension of this course beyond Cryptocurrencies and many more such possibilities are discussed.This course is created solely for educational purposes. Financial concepts mentioned in the course should not be considered as professional or financial advice. Any profit or loss incurred due to the deployment of the bot created in this course will completely be the responsibility of the User.Hope you have fun exploring the depths of building a Trading Bot.Happy Coding,Vinay Phadnis:)
