SOP
- 选题
- 找素材
代码人生:编织技术与生活的博客之旅
自我管理几个重要的点
我们从长期最重要的事项里面演变出来的日回顾,确保我们每天的行动已经跟长期目标对齐。
在日常执行的时候,我们只做"更少而更好"的事。
我们用科学的方法管理好自己(负面情绪, 疲惫感),自己保持在一个比较嗨的状态。
心理学家乔纳森海特在《象与骑像人》里使用了类比-我们的情感面像一头大象,理性面就是骑象人。
如果"大象"出于积极面,我们做事就会事半功倍。
工作节奏越快,越繁忙,就越需要我们在自己的工作日程中留出更多的时间用以思考。
action: 第一: 列出你的目标
第二: 列出你当下的目标 阶段性目标
第三: 列出你当下可以做的事情可以达到你的目标
第四: 在这些事情里面,排查这件事情跟我的目标相不相关,对我实现当前阶段的目标有没有用
有时候没有甄别能力,到底做哪些事情能帮助我达到目标
执行力:小步尝试,花最小的精力去尝试,看反馈,最后集中精力用那个方法去走
取舍: 精要主义是需要知道哪些不重要
推荐几本书: 《了不起的我》 《精力管理》 《意志力陷阱》 《吃掉那只青蛙》 《每天最重要的2件事》 《精要主义》
列出三年后的目标(smart 原则)
描述人生失败场景
列出引起失败的原因
刷新目标,罗列风险

这本书大家吐槽翻译不是很好,但是我觉得对于初学者,这种程度足以,当然有能力更建议阅读原版书籍

1.1 Introduction to QuantStart QuantStart was founded by Michael Halls-Moore, in 2010, to help junior quantitative analysts (QAs) find jobs in the tough economic climate. Since then the site has evolved to become a substantial resource for quantitative finance. The site now concentrates on algorithmic trading, but also discusses quantitative development, in both Python and C++. Since March 2010, QuantStart has helped over 200,000 visitors improve their quantitative finance skills. You can always contact QuantStart by sending an email to mike@quantstart.com. 1.2 What is this Book? Successful Algorithmic Trading has been written to teach retail discretionary traders and trading professionals, with basic programming skills, how to create fully automated profitable and robust algorithmic trading systems using the Python programming language. The book describes the nature of an algorithmic trading system, how to obtain and organise financial data, the concept of backtesting and how to implement an execution system. The book is designed to be extremely practical, with liberal examples of Python code throughout the book to demonstrate the principles and practice of algorithmic trading. 1.3 Who is this Book For? This book has been written for both retail traders and professional quants who have some basic exposure to programming and wish to learn how to apply modern languages and libraries to algorithmic trading. It is designed for those who enjoy self-study and can learn by example. The book is aimed at individuals interested in actual programming and implementation, as I believe that real success in algorithmic trading comes from fully understanding the implementation details. Professional quantitative traders will also find the content useful. Exposure to new libraries and implementation methods may lead to more optimal execution or more accurate backtesting. 1.4 What are the Prerequisites? The book is relatively self-contained, but does assume a familiarity with the basics of trading in a discretionary setting. The book does not require an extensive programming background, but basic familiarity with a programming language is assumed. You should be aware of elementary programming concepts such as variable declaration, flow-control (if-else) and looping (for/while). Some of the trading strategies make use of statistical machine learning techniques. In addition, the portfolio/strategy optimisation sections make extensive use of search and optimisation
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