楼主: zuohaomiao
3175 4

程序化交易An Introduction to Algorithmic Trading: Basic to Advanced Strategies [推广有奖]

  • 4关注
  • 1粉丝

已卖:1399份资源

讲师

39%

还不是VIP/贵宾

-

威望
0
论坛币
72500 个
通用积分
0.0930
学术水平
6 点
热心指数
5 点
信用等级
3 点
经验
444 点
帖子
73
精华
0
在线时间
918 小时
注册时间
2006-12-28
最后登录
2025-12-28

楼主
zuohaomiao 发表于 2014-1-3 19:53:09 |AI写论文

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
Description
Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success. The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going. The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts. The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms. All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.


See More
See Less
Table of Contents
Acknowledgments. Mission Statement. PART I INTRODUCTION TO TRADING ALGORITHMS. Preface to Part I. 1 History. 2 All About Trading Algorithms You Ever Wanted to Know . . .. 3 Algos Defined and Explained. 4 Who Uses and Provides Algos. 5 Why Have They Become Mainstream so Quickly? 6 Currently Popular Algos. 7 A Perspective View From a Tier 1 Company. 8 How to Use Algos for Individual Traders. 9 How to Optimize Individual Trader Algos. 10 The Future – Where Do We Go from Here? PART II THE LESHIK-CRALLE TRADING METHODS. Preface to Part II. 11 Our Nomenclature. 12 Math Toolkit. 13 Statistics Toolbox. 14 Data – Symbol, Date, Timestamp, Volume, Price. 15 Excel Mini Seminar. 16 Excel Charts: How to Read Them and How to Build Them. 17 Our Metrics – Algometrics. 18 Stock Personality Clusters. 19 Selecting a Cohort of Trading Stocks. 20 Stock Profiling. 21 Stylistic Properties of Equity Markets. 22 Volatility. 23 Returns – Theory. 24 Benchmarks and Performance Measures. 25 Our Trading Algorithms Described – The ALPHA ALGO Strategies. 1. ALPHA-1 (DIFF). 1a. The ALPHA-1 Algo Expressed in Excel Function Language. 2. ALPHA-2 (EMA PLUS) V1 And V2. 3. ALPHA-3 (The Leshik-Cralle Oscillator). 4. ALPHA-4 (High Frequency Real-Time Matrix). 5. ALPHA-5 (Firedawn). 6. ALPHA-6 (General Pawn). 7. The LC Adaptive Capital Protection Stop. 26 Parameters and How to Set Them. 27 Technical Analysis (TA). 28 Heuristics, AI, Artificial Neural Networks and Other Avenues to be Explored. 29 How We Design a Trading Alpha Algo. 30 From the Efficient Market Hypothesis to Prospect Theory. 31 The Road to Chaos (or Nonlinear Science). 32 Complexity Economics. 33 Brokerages. 34 Order Management Platforms and Order Execution Systems. 35 Data Feed Vendors, Real-Time, Historical. 36 Connectivity. 37 Hardware Specification Examples. 38 Brief Philosophical Digression. 39 Information Sources. APPENDICES. Appendix A ‘The List’ of Algo Users and Providers. Appendix B Our Industry Classification SECTOR Definitions. Appendix C The Stock Watchlist. Appendix D Stock Details Snapshot. CD Files List. Bibliography. Index.



二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:introduction Algorithmic troduction Strategies Algorithm sufficient industry required standard complex

An Introduction to Algorithmic Trading Basic to Advanced Strategies by Edward Le.pdf
下载链接: https://bbs.pinggu.org/a-1468330.html

910.88 KB

需要: 10 个论坛币  [购买]

An Introduction to Algorithmic Trading: Basic to Advanced Strategies

已有 1 人评分热心指数 收起 理由
tigerwolf + 1 精彩帖子

总评分: 热心指数 + 1   查看全部评分

本帖被以下文库推荐

沙发
Enthuse(未真实交易用户) 发表于 2014-1-3 22:15:05
thanks..

藤椅
繁清(未真实交易用户) 发表于 2014-1-5 12:18:13
一切皆有可能!

板凳
adner(未真实交易用户) 发表于 2014-2-10 15:25:03
顶顶顶顶顶

报纸
xichongwanglei(未真实交易用户) 在职认证  发表于 2015-5-23 09:02:06
非常感谢

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注jr
拉您进交流群
GMT+8, 2026-1-7 02:58