Stock Trading via Fuzzy Feedback Control Presenter: Saman Cyrus Course: ECE/ME/CS 539.

Slides:



Advertisements
Similar presentations
Neural Networks in Financial Analysis
Advertisements

IEOR 4004: Introduction to Operations Research Deterministic Models January 22, 2014.
Fuzzy Controller where i and j = 0~6, Ai and Bj are fuzzy number, and cj,i is real number. The graph of fuzzification and fuzzy rule table is shown in.
Fuzzy Logic CSE-435: A Presentation on Presented by Osama Ahmed Khan Dr. Hector Munoz-Avila.
Applications of Stochastic Processes in Asset Price Modeling Preetam D’Souza.
Unit 17 - Rules -. July 2007© SAP AG and The Rushmore Group, LLC Business Process Integration Rules SD.
1 Anomaly Detection Using GAs Umer Khan 28-sept-2005.
Fuzzy Logic Based on a system of non-digital (continuous & fuzzy without crisp boundaries) set theory and rules. Developed by Lotfi Zadeh in 1965 Its advantage.
Investments: Course Introduction 01/05/ Review: Basic Concepts of Finance Time Value of Money Risk and Return.
A Learning Process for Fuzzy Control Rules using GA Presented by Alp Sardağ.
Derivative-Based Fuzzy System Optimization Dan Simon Cleveland State University 1.
Fuzzy Cruise Control 1. J. Yen and R. Langari, Fuzzy Logic: Intelligence, Control, and Information (Prentice Hall, Upper Saddle River, New Jersey, 1999).
ENGIN112 L25: State Reduction and Assignment October 31, 2003 ENGIN 112 Intro to Electrical and Computer Engineering Lecture 25 State Reduction and Assignment.
Introduction What is Fuzzy Logic? HOW DOES FL WORK? Differences between Classical set (crisps) and Fuzzy set theory Example 1 Example 2 Classifying Houses.
Matlab Fuzzy Toolkit Example
SmarTrader Analytical/research software system © ITC Software.
Designing Antecedent Membership Functions
Multiplying Positive & Negative Numbers. -6 x –4 = =
LOGIC GATES Logic generally has only 2 states, ON or OFF, represented by 1 or 0. Logic gates react to inputs in certain ways. Symbol for AND gate INPUT.
Fuzzy Logic-Based Anesthetic Depth Control. In most surgical operations, to anesthetize patients, manual techniques are used in hospitals. The manual.
Trading with UISES. UISES is our broker LOGIN Rules and Procedures Login and password Help Files.
Fuzzy Inference (Expert) System
Mobile Robot Navigation Using Fuzzy logic Controller
Fuzzy Logic Controller Intelligent System course.
Structural Dynamics & Vibration Control Lab. 1 Kang-Min Choi, Ph.D. Candidate, KAIST, Korea Jung-Hyun Hong, Graduate Student, KAIST, Korea Ji-Seong Jo,
INVENTORY CONTROL AS IDENTIFICATION PROBLEM BASED ON FUZZY LOGIC ALEXANDER ROTSHTEIN Dept. of Industrial Engineering and Management, Jerusalem College.
Ming-Feng Yeh Fuzzy Control The primary goal of control engineering is to distill and apply knowledge about how to control a process so that the.
Institute of Intelligent Power Electronics – IPE Page1 A Dynamical Fuzzy System with Linguistic Information Feedback Xiao-Zhi Gao and Seppo J. Ovaska Institute.
PART 9 Fuzzy Systems 1. Fuzzy controllers 2. Fuzzy systems and NNs 3. Fuzzy neural networks 4. Fuzzy Automata 5. Fuzzy dynamic systems FUZZY SETS AND FUZZY.
PhD. Prof. FADI ISSA IONEL NAFTANAILA.  Measure of success of a project:  Time management systems:  Processes of Time Management area: ◦ Define ◦ Sequence.
1 Motion Fuzzy Controller Structure(1/7) In this part, we start design the fuzzy logic controller aimed at producing the velocities of the robot right.
Personalized Recommendation of Related Content Based on Automatic Metadata Extraction Andreas Nauerz 1, Fedor Bakalov 2, Birgitta.
AND Gate Inputs Output Input A (Switch) Input B (Switch) Output Y (Lamp) 0 (Open) 0 (OFF) A B Lamp.
Graph Algebra I: An Introduction Courtney Brown, Ph.D. Emory University.
Chapter 10 FUZZY CONTROL Chi-Yuan Yeh.
A simulation-based decision support system for business process planning Author:Peer Volkner, Brigitte Werners Public: ELSEVIER Fuzzy Sets and Systems.
Applications of Stochastic Processes in Asset Price Modeling Preetam D’Souza.
親愛的吉姆舅舅: 今天吃完晚餐後,奶奶說,在家 裡情況變好以前,您要我搬到城裡跟 您住。奶奶有沒有跟您說,爸爸已經 好久沒有工作,也好久沒有人請媽媽 做衣服了? 我們聽完都哭了,連爸爸也哭了, 但是媽媽說了一個故事讓我們又笑了。 她說:您們小的時候,她曾經被您追 得爬到樹上去,真的嗎? 雖然我個子小,但是我很強壯,
Dinner for Two. Fuzzify Inputs Apply Fuzzy Operator.
Whether the Spreaded Good Opinion About Fuzzy Controllers is Justified
Fuzzy Logic Toolbox Analysis and Design.
MATLAB Fuzzy Logic Toolbox
A complete example of fuzzy inference
Model Functions Input x 6 = Output Input x 3 = Output
Fuzzy System Structure
BUS 201: Introduction to Business
منطق فازی.
Richard E. Haskell Oakland University Rochester, MI USA
Economics of International Finance Econ. 315
مدل زنجیره ای در برنامه های سلامت
C Graphing Functions.
ME 123 Computer Applications I Lecture 40: Course Review 5/23/03
Transp Course 2014 Overview.
Function Rules and Tables.
Strategic Bidding in Competitive Electricity Markets
in Intelligent Tutoring Systems with Fuzzy Logic Techniques
Fuzzy Logic Colter McClure.
Dept. of Mechanical and Control Systems Eng.
Engineering Technical Writing
Figure 11-1.
Part of knowledge base of fuzzy logic expert system for exercise control of diabetics
Objective- To use an equation to graph the
Figure Overview.
Figure Overview.
Objective- To graph a relationship in a table.
COMPUTER HISTORY, PRESENT & FUTURE. What is a Computer? A computer is a machine that can be instructed to carry out sequences of arithmetic or logical.
Stock Market Stage Analysis.
Fuzzy Logic Based on a system of non-digital (continuous & fuzzy without crisp boundaries) set theory and rules. Developed by Lotfi Zadeh in 1965 Its advantage.
Arithmatic Logic Unit (ALU). ALU Input Data :  A0-A3  B0-B3 Output Data :  F0 – F3.
Lesson 3.3 Writing functions.
Presentation transcript:

Stock Trading via Fuzzy Feedback Control Presenter: Saman Cyrus Course: ECE/ME/CS 539

Overview 1.Abstract 2.Motivation 3.SLS Controller 4.Fuzzy Tuning of the Controller 5.Numerical Example 1/7

Introduction & Motivation Problem Tuning a feedback controller’s parameters with fuzzy logic Motivation and Importance of This Project There have been a lot of research about application of control engineering in financial systems. Most of these researches use stochastic control to determine a model for the financial system and then find an appropriate controller. A new line of research uses static feedback control instead. This static feedback controller is called Simultaneous Long-Short (SLS) This project tries to automatically tune parameters of this controller 2/7

SLS Controller (Non-Fuzzy) 3/7 Gain/Loss Accounting Gain/loss g(t) + K K Financial Market

SLS Controller (Non-Fuzzy) 3/7 Gain/Loss Accounting Gain/loss g(t) + K K Financial Market

Fuzzy Tuning of the parameter K 4/7 Gain/Loss Accounting Gain/loss g(t) + K K Fuzzy Controller

Fuzzy Tuning of the parameter K Rule Table for Fuzzy Controller: NL: Negative Large NS: Negative Small PS: Positive Small PL: Positive Large 4/7 NLNSPSPL NL NMNS NLNM NS PS PM PL PSPMPL

Membership Functions Membership Function of Inputs: Membership Function of Output: 5/7

Control Surface Control Surface of The Fuzzy Controller 6/7

Numerical Example: EUR/USD. Year 2000, Data from Yahoo Finance. M1 data SLS without Tuning: SLS with Fuzzy Tuning 7/7

Questions?