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

Commodity futures CTP and cryptocurrency API exchange have significant differences. Familiar with cryptocurrency exchange programming trading doesn’t mean fami

Quickly implement a semi-automatic quantitative trading tool In commodity futures trading, intertemporary arbitrage are a common trading method. This kind of

What is the Aroon indicator? In the technical analysis, Aroon is a very unique technical indicator. The word “Aroon” comes from Sanskrit, meaning “the ligh

Preliminary Study on Backtesting of Digital Currency Options Strategy Recently, FMZ Platform has upgraded the backtesting system to support the backtesting of

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

Recently, more and more TradingView users have connected the TradingView chart signal to FMZ platform (FMZ.COM) and let the robot strategy on FMZ execute the t

Traders who design trading strategies often ask me how to design timing functions for strategies so that strategies can handle certain tasks at specified times

Speaking of hedging strategies, there are various types, diverse combinations, and diverse ideas in various markets. We explore the design ideas and concepts o

Summary The price is either up or down. In the long run, the probability of price rise and fall should be 50%, so to correctly predict the future price, yo

Introduction FMZ.COM, as a quantitative trading platform, is mainly to serve programmatic traders. But it also provides a basic trading terminal. Although

About us This trading system is quantitatively designed by 泊宇量化. we are a team that has been committed to researching quantitative trading strategies for a

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

When using digital currency quantitative trading robots, when there are multiple robots running on a server, if you visit different exchanges, the issue is not

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

This article brings two classic strategies for transplantation: Iceberg commission (buy/sell). The strategy is transplanted from the Iceberg commission JavaSc

Problem scene For a long time, the data delay problem of the API interface of the crypto currency exchange has always troubled me. I haven’t found a suitab

Summary Until now, secondary market transactions have been flooded with a variety of trading methods. Among them, how to “entering the lowest price” and “e

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

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When writing JavaScript strategies, due to some problems of the scripting language itself, it often leads to numerical accuracy problems in calculations. It ha