Artificial Intelligence Stock Trading Software for 2017
Best Artificial Intelligence Stocks
Artificial intelligence stock market or machine intelligence, not blockchain or cloud technology,
will transform the stock market industry or have the biggest impact on the exchange industry in the near future.
The cloud technology or blockchain is going to change a lot of how we manage the infrastructure, while blockchain has a huge potential to change the way settlement occurs and the transfer of ownership.
But if a lots of people were ask to pick the one technology that they think will change the industry the most, it's definitely machine intelligence.
With machine learning, machine intelligence and how that deep learning, natural language processing and areas of intelligence will allow companies to become more sophisticated in their strategies, and will also allow risk managers to become much more sophisticated in monitoring activity.
Stock market is already looking to tap into the artificial intelligence technology.
In 1 years ago (November, 2016), Nasdaq launched a Trading Insights - a product suite combining proprietary data with advanced analytics and machine learning to provide insights for US listed stocks.
Trading insights designed to:
- Help traders better understand how they perform in the market,
- How the market behaves, and
- How they can adjust their strategies to be more successful
Algorithmic Trading Strategies
Every stock trading investors is looking for AI algorithmic trading strategies that will give him or her an edge - using AI prediction
to make money in the stock market. This is known as algorithmic trading.
The idea of automated stock trading has been around for a long time now and is better known as algorithmic trading. The use of automation to trade takes the human bias out of the equation which is what often times leads to losses. Trading with emotions.
Human emotions like fear and greed ensure that the majority of us will never have a successful career in stock trading because we cannot keep our senses about us when dealing with a stock market that is so irrational.
Is there any algorithmic trading strategies that gives you an almost obscene edge over other investors... when it comes to making huge stock market profits?
To tell the truth, I'm sure there is. I may be wrong! Check out this:
Imagine the stock market has closed for the day and a certain stock closed for the session with a price of $25 per share.
Now imagine, after the market has closed, a sensational news story comes out about that particular company.
Let's say the Food and Drug Administration (FDA) has given the company in question (we'll call it "Baldness Cure, Inc.") approval to market an amazing new cure for baldness.
This new cure is a simple pill that will grow a full head of hair on a man's head in less than 30 seconds and there are no harmful side effects.
We don't have to guess what is going to happen to the share price of this company's stock. It is literally going to skyrocket in price.
Unfortunately, this jump in price is going to occur before the stock market opens tomorrow morning... and... before you have chance to buy that stock at anything approaching the $25 price where it closed today.
If we could just take the power of machine learning and let it loose on the stock market then we would be certain to generate a truck load of profits.
If we're going to have a go at this business model, we'll need funds to go towards buying the computers and human talent we need to build and develop our algorithmic trading system. Also, we will need the actual money to use to invest in order to generate profits.
However, when the story comes out, what will happen is... thousands and thousands of people will call their brokers and put in buy orders for Baldness Cure, inc.
Their brokers will be happy to accommodate them and tell their customers they will buy the shares "at market" for them as soon as the market opens tomorrow morning.
In the meantime, all those brokerage houses (who CAN buy stocks before the market opens and after the market closes) will purchase huge blocks of Baldness Cure, inc. for their OWN inventory.
When the stock market opens the following morning, the brokerage houses will open that stock at as high a price as the market will bear. In this example, let's say that opening price will be $40.00 per share.
Now remember, the brokerage houses bought the stock at $25 per share. This means that many brokers will make as much as $15 profit per share on the stock...
But, was that enough profit to satisfy the lust for money of these greedy vultures? Hell no! They want every last penny they can suck out of their customers. Will explain how they do this a little later.
What will happen to the share price of Baldness Cure, inc. right after the open?
The answer is simple: It will PLUNGE downward in price. An intraday graph of that stock will look like the graph of a rock that has been thrown off a cliff.
Why will this happen? Because all those brokers who made up to $15.00 per share as soon as the market opened...
By "Selling a stock short," a trader can, in effect, borrow shares of a stock and sell them on the open market. Rather than owe money to his broker, he owes shares of that stock.
If the price of that stock falls, he simply sells the borrowed shares at the current price... and then... buys back the number of shares he borrowed after the price has dropped and pockets the difference.
Let's suppose you know a stock with a $10 price per share is goingto fall. You could borrow one thousand shares and sell them for that $10 apiece price. You would now have $10,000 in your trading account.
And, as you suspected, the stock starts to fall. Let's say it fall to $8 per share. You can buy one thousand shares with the funds in your account at this new lower price... and... you have $2,000 profit. This is called "covering your shorts".
The first thing you need to know here is that some of the most prominent hedge funds in the world are already using machine learning for algorithmic trading and have been doing so for quite a while now. Not just today in 2017!
So you might be tempted to think that since the best hedge funds in the world seem to be dominating the use of AI for trading, that there are no opportunities left.
The truth is that there limitless possibilities in this space because every trading strategy is unique according to the capital behind it.
If you have $50 billion dollars that you have to manage, your strategies will have to support very high volume trades.
If you have just a million dollars you're playing with, you have much more flexibility because you can buy low volume stocks and your trades are in no danger of moving the market.
There's room for everyone in this space which is why we're going to present to you 8 companies which want to use artificial intelligence to do algorithmic trading. They are:
- Aidyia - a Hong Kong based hedge fund that uses "artificial general intelligence" (AIG) which is a branch of
AI that more closely mimic's the human brain.
In 2015 (2 years ago), Aidyia launched a long and short fund that trades in United States of America (USA or U.S.) equities and makes all stock trades using artificial intelligence with no human intervention required.
- Alpaca - Develop their own trading platform called Capitalico which allows you to construct trading algorithms based
on technical analysis.
If you're not familiar with technical analysis, it's simply the practice of using chart patterns to predict stock price movements.
- Binatix - a deep learning trading firm that came out of stealth mode 3 years ago (2014);
and claims to be nicely profitable having used their strategy for well over three years.
Working with hedge funds that are developing and implementing investment strategies based on their technology.
- Clone Algo - a Singapore based company founded in 2010 (7 years ago), and hoping to begin
trading on NASDAQ.
Clone Algo claim to have a 8-to-10 year lead over their competitors having spent over the past 5 years developing their algorithms.
- Nasdaq - Analytics at Your Fingertips ... a new product suite that combines proprietary data with advanced analytics and machine learning to improve a firm's trading behaviors and performance on The Nasdaq Stock Market.
- Sentient - a Singapore based company. one of the three applications Sentient are pursuing with their artificial intelligence platform
is that of algorithmic trading.
Sentient has built trillions of AI traders and then distilled them into a single AI trader which they're considering to spin out as a separate company.
- Swissquote - A Swiss online bank (swissquote trading/swissquote forex introduced a virtual reality trading (or VR trading) application which uses a VR helmet to create a a 360 degrees trading wall for users to monitor the markets and make trades with a glance.
- Walnut Algorithms - A French startup company in 2015 (2 years ago), using advanced machine learning techniques with financial expertise to generate absolute return investment strategies.
Find below, books, magazines and articles journal in Stock market ai or artificial intelligence stock market or ai stock market prediction:
|Stock Market AI Journal||"Artificial Intelligence in Stock Market Description 2017"|
|A Wealth of Common Sense||The financial market is a complex system, but that doesn't mean it requires a complex strategy; in fact, this false premise is the driving force behind many investors' market 'mistakes.' Information is important, but understanding and perspective are the keys to better decision-making. This book describes [a] way to view the markets and your portfolio, and [outlines] strategies that [may] make investing more profitable, less confusing, and less time-consuming--Amazon.com.|
|AI 2003: Advances in Artificial Intelligence||Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment ("Oracle") which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the "Deterministic Point - cation Problem" which has been studied rather thoroughly . In its pioneering version  the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the "right" it may be advised to move to the "left" and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions - for example in imagep rocessing, pattern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.|
|AI 2005: Advances in Artificial Intelligence||The 18th Australian Joint Conference on Artificial Intelligence (AI 2005) was held at the University of Technology, Sydney (UTS), Sydney, Australia from 5 to 9 December 2005. AI 2005 attracted a historical record number of submissions, a total of 535 papers. The review process was extremely selective. Out of these 535 submissions, the Program Chairs selected only 77 (14.4%) full papers and 119 (22.2%) short papers based on the review reports, making an acceptance rate of 36.6% in total. Authors of the accepted papers came from over 20 countries. This volume of the proceedings contains the abstracts of three keynote speeches and all the full and short papers. The full papers were categorized into three broad sections, namely: AI foundations and technologies, computational intelligence, and AI in specialized domains. AI 2005 also hosted several tutorials and workshops, providing an interacting mode for specialists and scholars from Australia and other countries. Ronald R. Yager, Geoff Webb and David Goldberg (in conjunction with ACAL05) were the distinguished researchers invited to give presentations. Their contributions to AI 2005 are really appreciated.|
|AI 2008: Advances in Artificial Intelligence||This book constitutes the refereed proceedings of the 21th Australasian Joint Conference on Artificial Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008. The 42 revised full papers and 21 revised short papers presented together with 1 invited lecture were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on knowledge representation, constraints, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge discovery, soft computing, vision and image processing, and AI applications.|
|AI 2009: Advances in Artificial Intelligence||This book constitutes the thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cover topics such as cognitive science, computational intelligence, computational philosophy, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, speech, vision and the web.|
|Advances in Artificial Intelligence - IBERAMIA 2010||Arti?cial Intelligence is a ?eld with a long history, which is still very much active and developing today. Developments of new and improved techniques, together with the ever-increasing levels of available computing resources, are fueling an increasing spread of AI applications. These applications, as well as providing the economic rationale for the research, also provide the impetus to further improve the performance of our techniques. This further improvement today is most likely to come from an understanding of the ways our systems work, and therefore of their limitations, rather than from ideas 'borrowed' from biology. From this understanding comes improvement; from improvement comes further application; from further application comes the opportunity to further understand the limitations, and so the cycle repeats itself inde?nitely. In this volume are papers on a wide range of topics; some describe appli- tions that are only possible as a result of recent developments, others describe new developments only just being moved into practical application. All the - pers re?ect the way this ?eld continues to drive forward. This conference is the 15th in an unbroken series of annual conferences on Industrial and Engineering Application of Arti?cial Intelligence and Expert Systems organized under the auspices of the International Society of Applied Intelligence.|
|Advances in Artificial Intelligence -- IBERAMIA 2014||This book constitutes the refereed proceedings of the 14th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2014, held in Santiago de Chile, Chile, in November 2014. The 64 papers presented were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; planning and scheduling; natural language processing; machine learning; fuzzy systems; knowledge discovery and data mining; bio-inspired computing; robotics; vision; multi-agent systems; agent-based modeling and simulation; AI in education, affective computing, and human-computer interaction; applications of AI; and ambient intelligence.|
|Artificial Intelligence||What is Artificial Intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin bases his assessment of AI on the definition of AI as a tool that is 'constructed to aid or substitute for human thought'. He explains how AI came about, the importance of the development of the computer and then examines how AI has developed over the years through the construction of computer programs and how the language used to construct these programs has become more and more sophisticated, thus allowing AI to become better and better. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, learn about Fuzzy Logic and the ups and downs of computer programming, as well as finding out how research into brain function is continually influencing the field of AI. By turns fascinating and scary, Artificial Intelligence will take the reader on an amazing journey that covers everything from the habits of ants to the world of the stock market.|
|Artificial Intelligence Applications and Innovations||The abundance of information and increase in computing power currently enable researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI conference is to provide insights on how Artificial Intelligence may be applied in real-world situations and serve the study, analysis and modeling of theoretical and practical issues. This volume contains papers selected for presentation at the 6th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2010) and held in Larnaca, Cyprus, during October 6-7, 2010. IFIP AIAI 2010 was co-organized by the University of Cyprus and the Cyprus University of Technology and was sponsored by the Cyprus University of Technology, Frederick University and the Cyprus Tourism Organization. AIAI 2010 is the official conference of the WG12.5 "Artificial Intel- gence Applications" working group of IFIP TC12, the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI). AIAI is a conference that grows in significance every year attracting researchers from different countries around the globe. It maintains high quality, standards and welcomes research papers describing technical advances and engineering and ind- trial applications of intelligent systems. AIAI 2010 was not confined to introducing how AI may be applied in real-life situations, but also included innovative methods, techniques, tools and ideas of AI expressed at the algorithmic or systemic level.|
|Artificial Intelligence Research and Development||One hundred years after the birth of Alan Turing, the great pioneer of computer science, artificial intelligence has become so much a part of everyday life that it is hard to imagine the world without it. This book contains papers from the 15th International Conference of the Catalan Association of Artificial Intelligence (CCIA 2012), held at the Universitat d'Alicant, Spain, in October 2012. Since 1994 the Catalan Association of Artificial Intelligence (ACIA) has fostered cooperation between researchers in artificial intelligence within the Catalan speaking community. The annual CCIA is its international conference, a platform where not only researchers from Catalan speaking countries, but also those working in artificial intelligence worldwide, have found a place to show, discuss and publish the results of their researches and developments. The 23 papers presented here, which include contributions from the AI community all over the world, cover topics such as KDD, DM and machine learning; natural language processing and recommenders; computer vision; robotics; AI for optimization problems and AI applications in the real world. The book also includes the contributions of the two invited keynote speakers at the conference - Oscar Cordon and Eduardo Nebot - which respectively address the subjects of real-world applications of soft artificial intelligence, and challenges of automation and safety in field robotics.|
|Artificial Intelligence and Cognitive Science||Dark Pools is the pacy, revealing, and profoundly chilling tale of how global markets have been hijacked by trading robots - many so self-directed that humans can't predict what they'll do next.It's the story of the blisteringly intelligent computer programmers behind the rise of these 'bots'. And it's a timely warning that as artificial intelligence gradually takes over, we could be on the verge of global meltdown. 'Scott Patterson has the ability to see things you and I don't notice.' Nassim Nicholas Taleb, New York Times bestselling author of Antifragile, Fooled by Randomness and The Black Swan|
|Artificial Intelligence and Computational Intelligence||This three-volume proceedings contains revised selected papers from the Second International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011. The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part III covered are: machine vision; natural language processing; nature computation; neural computation; neural networks; particle swarm optimization; pattern recognition; rough set theory; and support vector machine.|
|Artificial Intelligence and Simulation||This book constitutes the refereed proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008, held in Hanoi, Vietnam, in December 2008. The 49 revised long papers, 33 revised regular papers, and 32 poster papers presented together with 1 keynote talk and 3 invited lectures were carefully reviewed and selected from 234 submissions. The papers address all current issues of modern AI research with topics such as AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. Particular importance is attached to the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction.|
|Artificial Intelligence and Soft Computing - ICAISC 2008||This book constitutes the refereed proceedings of the 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, held in Wroclaw, Poland, in June 2008. The 75 revised full papers presented were carefully reviewed and selected from 302 submissions. The papers are organized in topical sections on computer vision, fuzzy system applications, robot and manufacturing, data mining and KDS, neural networks, machine learning, natural language processing, internet application and education, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. The book concludes with 15 contributions from the following special sessions: knowledge driven manufacturing systems, joint session on adaptive networked systems and fuzzy knowledge bases, and software agents and multi-agent systems.|
|Artificial Intelligence and Soft Computing - ICAISC 2004||This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016. The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP. The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.|
|Artificial Intelligence in Financial Markets||As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.|
|Artificial Intelligence in Theory and Practice||On behalf of the Organizing Committee for this event, we are glad to welcome you to IWASE 2006, the First International Workshop on Advanced Software Engineering. We hope you will enjoy the traditional Chilean hospitality and, of course, please tell us how we can make your visit a pleasant and useful experience. The goal of this Workshop is to create a new forum for researchers, professionals and educators to discuss advanced software engineering topics. A distinctive feature of this Workshop is its attempt to foster interactions between the Latin-American software engineering community and computer scientists around the world. This is an opportunity to discuss with other researchers or simply to meet new colleagues. IWASE 2006 has been organized to facilitate strong interactions among those attending it and to offer ample time for discussing each paper. IWASE 2006 attracted 28 submissions from 14 countries, 8 of them outside Latin-America. Each of the 28 articles was reviewed by at least three members of the Program Committee. As a result of this rigorous reviewing process, 13 papers were accepted: nine fiill papers and four work-in-progress papers. These papers were grouped in four tracks; software architecture, software modeling, software development process and experiences in software development.|
|Artificial Intelligence: Methodology, Systems, and Applications||This book constitutes the refereed proceedings of the 19th Australian Joint Conference on Artificial Intelligence, AI 2006, held in Hobart, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent agents, cognition and user interface, vision and image processing, natural language processing and Web intelligence, neural networks, robotics, and AI applications.|
|Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies||The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.|
|Current Approaches in Applied Artificial Intelligence||This book constitutes the refereed conference proceedings of the 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, held in Seoul, South Korea, in June 2015. The 73 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers cover a wide range of topics in applied artificial intelligence including reasoning, robotics, cognitive modeling, machine learning, pattern recognition, optimization, text mining, social network analysis, and evolutionary algorithms. They are organized in the following topical sections: theoretical AI, knowledge-based systems, optimization, Web and social networks, machine learning, classification, unsupervised learning, vision, image and text processing, and intelligent systems applications.|
|Designing Stock Market Trading Systems||Most people know there is potential to make big money in the stock market, but they don't know how to get started. This work guides readers step by step through the authors' methods for building rule-based stock market trading systems.|
|Economic Modeling Using Artificial Intelligence Methods||Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace - and vice versa - is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.|
|Industrial and Engineering Applications of Artificial Intelligence and Expert Systems||This volume contains the 5 invited papers and 72 selected papers that were presented at the Fifth International Conference on Industrial and Engineering Applications of Artificial Intelligence. This is the first IEA/AIE conference to take place outside the USA: more than 120 papers were received from 23 countries, clearly indicating the international character of the conference series. Each paper was reviewed by at least three referees. The papers are grouped into parts on: CAM, reasoning and modelling, pattern recognition, software engineering and AI/ES, CAD, vision, verification and validation, neural networks, machine learning, fuzzy logic and control, robotics, design and architecture, configuration, finance, knowledge-based systems, knowledge representation, knowledge acquisition and language processing, reasoning and decision support, intelligent interfaces/DB and tutoring, fault diagnosis, planning and scheduling, and data/sensor fusion.|
|Intelligent Trading Systems||This work deals with the issue of problematic market price prediction in the context of crowd behavior. Intelligent Trading Systems describes technical analysis methods used to predict price movements.|
|PRICAI 2006: Trends in Artificial Intelligence||This book constitutes the refereed proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006, held in Guilin, China in August 2006. The book presents 81 revised full papers and 87 revised short papers together with 3 keynote talks. The papers are organized in topical sections on intelligent agents, automated reasoning, machine learning and data mining, natural language processing and speech recognition, computer vision, perception and animation, and more.|
|Recent Trends in Applied Artificial Intelligence||This volume constitutes the thoroughly refereed conference proceedings of the 26th International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The total of 71 papers selected for the proceedings were carefully reviewed and selected from 185 submissions. The papers focus on the following topics: auctions and negotiation, cognitive modeling, crowd behavior modeling, distributed systems and networks, evolutionary algorithms, knowledge representation and reasoning, pattern recognition, planning, problem solving, robotics, text mining, advances in recommender systems, business process intelligence, decision support for safety-related systems, innovations in intelligent computation and applications, intelligent image and signal processing, and machine learning methods applied to manufacturing processes and production systems.|
|The Fear Index||Meet Alex Hoffmann: among the secretive inner circle of the ultra-rich, he is something of a legend. Based in Geneva, he has developed a revolutionary system that has the power to manipulate financial markets. Generating billions of dollars, it is a system that thrives on panic - and feeds on fear. And then, in the early hours of one morning, while he lies asleep, a sinister intruder breaches the elaborate security of his lakeside home. So begins a waking nightmare of paranoia and violence as Hoffmann attempts - with increasing desperation - to discover who is trying to destroy him - before it's too late ...|
|The Quants||You're a genius. Nobody plays the financial markets better than you. What could possibly go wrong? Quants - quantitative analysts - were the maths masterminds let loose on Wall Street in the belief that their brilliant, impregnable computer programs would always beat the market. But as the catastrophic events of 2007 and 2008 showed, their seemingly failproof methods were little more than ticking timebombs. Inspired by the 'Godfather of Quants' - maths-professor-turned-gambler Ed Thorp, who began applying skills learned at the Vegas tables to the financial markets back in the 1950s - the quants achieved extraordinary success and massive wealth. This book charts their rise from obscurity to boom and then to bust, explaining why they were so confident - and how they got it so disastrously wrong.|
|Tools and Applications with Artificial Intelligence||In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term "intelligence" seems to be a "must" in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of "intelligence" by using techniques stemming from intelligent search, knowledge representation, machine learning, knowledge discovery, intelligent agents, computational intelligence etc. The Workshop on "Applications with Artificial Intelligence" seeks for quality papers on computer applications that incorporate some kind of AI technique. The objective of the workshop was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains (like medicine, biology, education etc), to present and discuss their research works and exchange ideas in this book.|
|Trends in Applied Intelligent Systems||The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form, Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available.|
|Trends in Practical Applications of Agents and Multiagent Systems||PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an international yearly forum to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their ex-perience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2010 edition in the Special Sessions and Workshops. PAAMS'10 Special Sessions and Workshops are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Sessions and Workshops that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics were especially encouraged and welcomed.|