可视化编辑策略扩展自定义类库 如何给可视化策略扩展自己需要的自定义类库呢？例如我希望计算MA指标，但是系统自带的只有： 这些指标，如何能添加自定义的一些代码呢？ 我们就以添加自定义的MA指标计算模块为例，讲解如何扩展可视化模块。

获取托管者发送http请求报文的解决方案 在测试、调试策略代码时、实盘运行机器人时经常有遇到交易所接口报错的情况，此时去查询交易所接口API文档，查询相关报错信息，咨询交易所API技术客服时总是需要提供报错时的请求报文，用来分析报错原因。 这个时候看不到报文信息就无从下手找问题，本篇文章我们一起来探讨两种

量化交易中服务器使用浅谈 在做程序化、量化交易时，虽然可以使用任何设备运行量化交易程序（操作账户按照一定交易策略交易的机器人程序）。但是比较保险的还是使用一台某个运营商机房的服务器。网络通信和电源供给都比较有保障。毕竟量化交易程序操作的是真金白银的账户资产，能做到的基础保障应当尽量做到，使用自己的电脑等设备

币安交割合约策略3.ipynb

平衡挂单策略(教学策略) 本篇讲述的策略本质是动态平衡策略，即始终平衡币价值与计价币价值相等。不过设计为预先挂单，策略逻辑十分简单。编写该策略的主要目的是为了展示策略设计的各个方面。 策略逻辑封装 把策略逻辑和运行时的一些数据、标记变量封装在一起（封装成对象）。 策略处理初始化工作的代码

Larry Connors RSI2 Mean Reversion Strategy From Many friends asked me to write a grid and market maker strategy,But I generally decline directly. Regardi

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Quantitative trading Quantitative systemic traders, enter rules + exit rules + fund management are all quantified. The typical is the turtle trading rules. Yo

Strategy name: Channel strategy based on ATR volatility index Strategy idea: Channel Adaptive Strategy, Fixed Stop + Floating Stop Data Cycle: Multi-Cycle /

Strategy Name: Upgraded Thermostat Strategy Data cycle: 1H Support: Commodity Futures, Digital Currency Futures, Digital Currency Spot /upload/asset/6e6218

Preface The “HANS123” strategy was first mainly applied to the foreign exchange market. Its trading method is relatively simple and belongs to the trend bre

数字货币期权策略回测初探 最近发明者量化交易平台升级了回测系统，支持了数字货币期权回测，本次支持了Deribit交易所的一些期权数据。因此我们对于期权交易的学习，以及策略验证有了更好的工具。 Deribit 期权回测 回测系统中定义的Deribit期权为欧式，一张合约价值为

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If the price of Bitcoin one day in the future will be the same as it is now, what strategy will you adopt to gain profit? The easy way to think of is to sell i

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WeChat group is a public place where like-minded friends gather, and the WeChat group in the quantitative trading circle is no exception. Recently, many FMZ u

如果未来某一天的比特币价格将和现在相同，你将采取怎样的策略来获取收益？很容易想到的方法是涨了卖出，跌了就买入，等待价格再恢复时，就赚取了中间的差价。具体如何执行呢？涨了需要卖出多少，卖早了显然亏了，同样买入过早也会少赚。平衡策略与网格策略都是为了解决这个问题，它们也十分相似，本文将具体介绍这两个策略。 策略简

Summary Strictly speaking, Martingale is a method of position management. It can be traced back to the eighteenth century and has been enduring for hundred

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多机器人行情共享解决方案 在使用数字货币量化交易机器人时，当一个服务器上要跑多个机器人，如果访问不同的交易所，此时问题不大，不会出现API请求频率问题。如果需要有多个机器人同时运行，并且都是做同一个交易所，同一个交易对的量化交易策略。这个时候就有API请求频率限制的问题了。那么如何在用最少的服务器的情况下解决