Schedule

SPEAKER PROFILE

Kevin is a Senior Investment Manager on the EMD team.
Kevin joined Aberdeen in 2007 having spent the previous ten years at Standard & Poor's in London and Singapore.
During that time Kevin worked as a Credit Market Analyst covering global emerging debt, and was Head of Origination for Global Sovereign Ratings.
Kevin was a regular participant on the Global Sovereign Ratings Committee, and was one of the initial members of the Emerging Market Council, formed in 2006 to advise senior management on business and market developments in emerging markets.
Kevin graduated with a BA in English Literature from the University of California, Los Angeles.

   
ABSTRACT

Welcome to new Frontiers

Frontier market economies are projected to have some of the highest economic growth rates in the world over the next five years, driven by factors such as the low penetration of goods and services, favourable demographics, rapid urbanisation, technology transfer, and increasing availability of credit to the private sector. In contrast to many developed countries, frontier markets have a young, growing population that will contribute to a developing workforce and increased domestic consumption. Encouragingly, governance and accountability have found their way up the agenda in recent years. Political leaders generally understand the need for orthodox economic management to maintain a stable economy and attract inward investment. The electorate tend to be much better informed, which means corruption and accountability are now heated topics during elections. Several of the most populous frontier nations, including Pakistan and Nigeria, have seen a genuine entrenchment of democracy, while others such as Myanmar and Sri Lanka have emerged from decades of obscurity. Aberdeen has been at the forefront of investing in Frontier Markets over the past decade, in both equity and debt markets. We use the same respective investment processes to screen frontier market companies and countries based upon comprehensive research that requires rigorous due diligence to mitigate the inherent risks in frontier markets. This may be a ‘new’ asset class for sailing the future, but it’s something we’ve been doing for a long time.

SPEAKER PROFILE

Isabelle Bourcier is Global Head of ETFs and Index Solutions at THEAM. Isabelle joined the firm in June 2016.
She was named one of the 100 most influential women in the world of finance by Financial News in 2010 and is a member of the board of directors of Women in ETFs for the EMEA (Europe, Middle East and Africa) region.
Between February 2011 and November 2015, she was head of Business Development at Ossiam, a subsidiary of Natixis Global Asset Management specialising in smart beta ETFs. She was Global Head of ETF Activities at Lyxor Asset Management, a subsidiary of Société Générale, between the launch of the business in 2000 until late 2010, and from 2006 she was Glabal Head of all listed products for Société Générale.
Over the course of her career, both at Société Générale (1994-2010) and Natixis Group (2011-15), Isabelle Bourcier has overseen the development and launch of numerous products across a comprehensive range of asset classes, expansion into many new countries, marketing communication and the recruitment, training and management of marketing and sales teams.
She began her career in 1992 as European Editor at the Financial Times in London.
Isabelle Bourcier, holds a Master’s in Management and Marketing from ISEG Business school (Institut Supérieur Européen de Gestion).

   
ABSTRACT

The ETF market evolutions: what kind of future?

The ETF market has experienced a spectacular growth over the past 10 years and future forecasts are even more promising. Let's explore together this phenomenon which continues to renew itself thanks to clients’ interests & constant attention to innovation

SPEAKER PROFILE

Fabrizio is Head of Regulation of the Italian regulated entities (Borsa Italiana, EuroTLX, Monte Titoli and CC&G). He is a member of the Board of Directors of Monte Titoli and CC&G. His main responsibility is on the analysis of the national and international legislative proposals under discussion, assessing the impact on the regulation, organization and functioning of markets, market infrastructures, intermediaries and issuers. He is responsible for drafting and up-dating the rules of the markets organised and managed by Borsa Italiana and, as well as for EuroTLX, Monte Titoli (the Italian CSD) and CC&G (the Italian clearing house).
Before joining Borsa Italiana, Fabrizio had been a Manager in the Italian Banking Association (1998-1999), a Senior Officer in CONSOB (1992-1998) and a Financial Analyst in Mediocredito di Roma (1991-1992). Fabrizio graduated in Business and Administration at La Sapienza University in Rome. He is a fiscal advisor, member of the 'Ordine dei dottori commercialisti di Roma' and reporting accountant “Revisore Contabile”.

SPEAKER PROFILE

Head of the Cross Asset team, Global Fund Manager - 26 years of experience

Frederic began working at Carmignac in 1995, left, and came back in 2003. He is currently Global Fund Manager and Head of the Cross Asset team.  Previously, Frederic worked as a Portfolio Manager for Cava Finance and Banque Scalbert-Dupont (1989-1994). Then, he integrated Carmignac as a Portfolio Manager specialized in implementation of derivatives strategies. Two years later, he founded Kheops Finance, for which he created and managed a FCIMT, a fund specialized in derivatives. Between 2001 and 2003, he worked for BNP Paribas Equities and HSBC CCF Securities as a Consultant in equity market and derivatives strategies. Frédéric graduated from l'IESEG in Lille.

   
ABSTRACT

The importance of being a risk manager

For years, markets had been fuelled by confidence in central banks’ ability to return world economies to their pre-crisis shape and their responsibility to ensure that the prices of certain assets remained supported whatever it took. For the last years, risk management was looked after by central banks offering passive funds their time of glory. As the power of central banks wanes, active fund managers can now demonstrate that managing risks brings value. The goal for active fund managers is, over and above stock picking, sector allocation, portfolio construction, and tactical short-term trades, to succeed in managing unexpected ‘tail’ risks.

SPEAKER PROFILE

Neil Dwane is a portfolio manager and the Global Strategist with Allianz Global Investors, which he joined in 2001. He coordinates and chairs the Global Policy Committee, which formulates the firm’s house view, leads the firm’s bi-annual Investment Forums and communicates the firm’s investment outlook through articles and press appearances.
Neil is a member of AllianzGI’s Equity Investment Management Group. He previously worked at JP Morgan Investment Management as a UK and European specialist portfolio manager; at Fleming Investment Management; and at Kleinwort Benson Investment Management as an analyst and a fund manager.
He has a B.A. in classics from Durham University and is a member of the Institute of Chartered Accountants.

SPEAKER PROFILE

Based in Milan Italy, Douglas is at the forefront of the latest in Financial Enterprise technologies and solution innovation in Thomson Reuters.
For Thomson Reuters customers and Partners that means Predictive Analytics to improve how customers find, extract and tag data. Semantic Analysis and Learning Machines to generate Sentiment on News and Social Media. Web Screening to identify hidden risks to help protect business. Machine-Learning algorithms to spot suspicious trading patterns and potential fraud.
Through his role Douglas drives the use of cutting edge Thomson Reuters technology like Big Data Open Linked Data, Machine Readable News, Open Platform. And on the horizon on, up-coming Innovations like Artificial Intelligence, Predictive Analytics, Unstructured Data, Ethereum and Blockchain concepts.
In the Enterprise Market Development team he leverages this innovation with Financial Enterprises around continental Europe, helping them understand the power Thomson Reuters has to offer at scale.

   
ABSTRACT

The robots are coming. And they need sensible, clean, structured data sets for world domination

If one were to look over the buzzword nominees for 2017, Machine Learning and Artificial Intelligence (AI) can safely be classified as top contenders. And it’s little wonder. AI and its cousins Machine Learning, Cognitive Learning, Deep Learning, Neural Networks have become the undisputed News fodder champions over the last few months. In a large part caused by decidedly threatening coverage with little or no grounding in technology. Ranging from audacious comments from Autonomous Car Billionaires predicating AI fueled World War to misleading (if not fake) News around Facebook engineers panicking and shutting down a dangerously smart AI after bots developed their own language that no one could decipher. It didn’t happen exactly that way.
Artificial intelligence is here and it been here for sometime. Current "deep learning" systems are not news. It just so happens we have we have more data that we did before and a whole lot more computer power to execute, model and analyze efficiently. AI is even closer to most users than we’d care to imagine. From auto-prompt in an email, to robo-advisers to provide basic investment services at lower cost and social media apps to learn about their users, so advertisers can more effectively target the right audience. Its task specific AI like this that will eventually drive us to work each morning and predict when we are about to fall ill.
Hyperbole aside, it’s the code is running behind the scenes that is at the center of AI and that will execute a series of "narrow tasks" to make our life easier or steal our jobs. It depends on your perspective.
But to get the desired results, a properly functioning algorithm requires data. Accurate, clean, structured, data. And lots of it. These days data scientists typically spend 80 per cent of their time searching for, correcting and consolidating data. The remainder dedicated to developing algorithms for task.
If anyone knows about the challenge of structuring and creating data it is Thomson Reuters. The original Big Data fintech our big data content sets and tools turn the 80/20 rule upside down so the financial industry. Using tools to come up with patters learned about datasets and users. In finance and beyond the promise of AI is superseded by legacy technology systems, massive amounts of data and emerging innovations that don’t quite hit the spot. However the AI future might seem its the data behind that will make the difference.

SPEAKER PROFILE

CEO&Founder Gagoo Group - andrea@gagoogroup.com.
Founder and majority shareholder of Gagoo Group, a holding company whose aim is to develop innovative projects.
The company holds two operative companies: TheOutplay, a technology platform which, being integrated with the most important European online publishers, manages the video contents through an innovative and efficient business model.
The consumer division of the company maintains two of company's own sites, OVO.com and GOALSCOUT.com .
The other operative company within the Group, Myntelligence, operates in data market offering Data Intelligence Solutions for digital advertising to some of the most important MNC. Undisputed innovator since he was twenty, when he started his career in radio and TV industry, Andrea played the roles of anchorman, director and producer gaining great popularity in his Country.
Journalist and opinionionist for top newspapers, counsultant for multinational brands and media agencies, Andrea is also author of two books and international lecturer in humanistic science, media and communication.
Passionate about classic art, Andrea loves to spend his free time painting.

   
ABSTRACT

Mankind in the robots millenia

Innovation technology is changing the world by compelling human being to reconsider the work started by existential philosophers of the 20th century. We will not be overtaken by robots, if we refer to Darwin’s theories, only if we can really succeed in solving the critical problem of knowledge. If the scenarios suggested by the American culture range from Humanoid Robotics to Transhumanism then, further solutions might be needed in the debate of the future of mankind. We must figure out humankind as an open project and to seize the Nature Project besides any program code. The human being is not the starting point of technological progress but it is somewhat the finish line of something greater.

SPEAKER PROFILES
John Bollinger

John Bollinger is the president and founder of Bollinger Capital Management, Inc., an investment management company that provides technically driven money management services. He is probably best known for his Bollinger Bands, which he developed in the early 1980s. Traders and investors worldwide use Bollinger Bands to assess expected price action in the financial markets, and the bands are featured on most financial charting software and websites. His book Bollinger on Bollinger Bands was published by McGraw-Hill in 2001 and has been translated into twelve languages. His website www.BollingerBands.com is the hub for everything related to Bollinger Bands. It is the home of his Bollinger Band Letter and offers free and for pay educational materials as well as information about Bollinger Band Tool Kits available for various financial platforms. www.BollingerBands.it and www.BollingerBands.us provide his indicators and methods for the Italian and US equity markets. John Bollinger graduated from the School of Visual Arts majoring in cinematography and started studying the market shortly thereafter. After purchasing his first microcomputer in 1977, Mr. Bollinger became involved in the seminal stages of computer driven market analysis. Today he continues to write some of his own software and develops analysis tools for traders. Mr. Bollinger is the recipient of the Technical Securities Analysts Association of San Francisco 1995 Lifetime Award for Outstanding Achievement in Technical Analysis, the Market Technicians Association 2005 Annual Award for Outstanding Contribution to the Field of Technical Analysis, and the International Federation of Technical Analysts (IFTA) Lifetime Achievement Award in 2015.



Kathrin Kaminski

Kathryn M. Kaminski, PhD CAIA is an author and specialist in systematic investing. She co-authored the book “Trend Following with Managed Futures: The Search for Crisis Alpha” published by Wiley Trading in 2014.
Kathryn held prior positions as director, investment strategies at Campbell and Company and senior investment analyst at RPM, a CTA fund of funds.
She also held the position of Deputy Managing Director of the Institute for Financial Research and affiliated faculty at the Stockholm School of Economics in the department of finance.
She has been a senior lecturer at MIT Sloan and visiting professor at the Swedish Royal Institute of Technology (KTH).
Her work has been published in a range of industry publications as well as academic journals.
In 2015, Kathryn was listed as one of the top 50 leading women in hedge funds.
Kathryn holds a BS in electrical engineering from MIT and a PhD in operations research from MIT Sloan.



Perry Kaufman

Perry Kaufman is well-known as the author of Trading Systems and Method, and recently, A Guide to Developing a Successful Algorithmic Trading System, but he has spent his career as a financial engineer and the architect for trading systems used by institutions and funds, often partnering with those firms. Beginning as a “rocket scientist” in the aerospace industry, and then in military reconnaissance, he switched to trading in the early 1970s. His experience ranges from the agricultural markets to high-frequency trading, arbitrage, and FX Carry. He has successfully managed money through the U.S.-Russian wheat deal of 1973, 20% interest rates of 1980, the stock market crash of 1987, the internet bubble of 2000, and the subprime crisis of 2008. After eight years of intraday trading with a 3.0 Sharpe ratio, he sold his company to ED&F Man in 1998. More information can be found on his website, www.kaufmansignals.com.



Riccardo Ronco

Senior Technical Analyst at Caxton Associates.

At Caxton Mr. Ronco follows FX, rates, equities and commodities with a macro view. As a medium-term trend follower, his approach is strongly quantitative in nature; particular attention, however, is devoted to identifying reversal patterns characterized by excessive consensus among investors.
Mr. Ronco brings more than 20 years of experience in trading, quantitative analysis, and teaching technical analysis in the United Kingdom and Italy. Prior to joining Caxton in April 2016, Mr. Ronco worked for ADB Sim, Credit Agricole Indosuez, Banca Intesa, Banca AntonVeneta (MontePaschi Group), FBR Capital Markets and Aviate Global.
A member of the Market Technicians Association (MTA) and Honorary member of SIAT, Mr. Ronco was a speaker at the 2015 MTA Annual Symposium in New York, at the 2011 IFTA presentation in Beijing and at the 1998 IFTA conference in Rome. He has contributed with several presentations to the MTA (London Chapter), the UK STA and Italian SIAT associations since the early 90s.
His work is mentioned in the book Capital Market Revolution: The Future of Markets in an Online World by Patrick Young. Mr. Ronco received his degree (with honors) in Economics from the University of Turin.
He currently holds the Chartered Market Technician (CMT) Level 1-2 and CFTe diplomas.



Spyros Skouras

Spyros Skouras is Associate Professor of International Finance at the Athens University of Economic & Business and a founder of Scientific Investments, a firm that applies cutting edge scientific research to analyze quant strategies and funds. In the past, he has held academic positions at Cambridge University, the Santa Fe Institute and Imperial College and has consulted for several leading quant funds. In addition, he contributed to the UK Secretary of State “Future of Computer Trading in Financial Markets Project” and co-authored regulatory impact assessments related to MIFID 2.
Professor Skouras has a long-standing research interest in integrating econometric methods with technical analysis. As early as 2001, he published “Financial Returns and Efficiency as seen by an Artificial Technical Analyst” in the Journal of Economic Dynamics and Control and “Learning to profit with discrete investment rules”, in Quantitative Finance. In addition, he has a broad interest in empirical finance and has published in several other leading academic journals such as the Journal of Econometrics and the Journal of Urban Economics.
Professor Skouras is a graduate of Cambridge University, Universitat Pompeu Fabra and the European University Institute.

Mohamed El Saiid, IFTA President, Davide Bulgarelli, SIAT President

SPEAKER PROFILE

Managing Director, Head of Equity Quantitative Investment Solutions, BNP Paribas. Yannick heads up the Equity QIS group at BNP Paribas Corporate and Institutional Banking in London. He has 18 years experience in quantitative investment management, quantitative research and equity derivatives structuring. Before joining BNP Paribas in 2015, Yannick was in charge of the development of proprietary equity and multi-asset investment strategies at Citigroup Global Markets in London. Prior to Citi, he was head of Société Générale Index, the range of quantitative indices of Société Générale and also ran the Quantitative Equity Research team when joining SocGen in 2005. Yannick started his career at BNP Paribas CIB where he held various roles before joining BNP Paribas Asset Management as a quantitative Portfolio Manager and later as head of quantitative research and portfolio engineering. Yannick is a CFA Charterholder and holds a Master in Finance & Applied Economics from Paris Institute of Political Studies (Sciences-Po), a Master in Applied Mathematics and Statistics from University of Bordeaux and is a graduade from the KEDGE Business School.

   
ABSTRACT

Factor Investing in Equity Markets: the Smart and the Smarter

Smart Beta and factor investing have become trending topics among the investors community over the past years. From single to multi-factors, the smart beta space is crowded which makes it difficult for investors to pick the products that best suit their needs. How can the new generation of smart betas be even smarter? Is it wiser to rotate across factors instead of getting exposed to selected few? Will smart beta and smart alpha converge when uncharted factors are widely available?

SPEAKER PROFILE

Spyros Skouras is Associate Professor of International Finance at the Athens University of Economic & Business and a founder of Scientific Investments, a firm that applies cutting edge scientific research to analyze quant strategies and funds. In the past, he has held academic positions at Cambridge University, the Santa Fe Institute and Imperial College and has consulted for several leading quant funds. In addition, he contributed to the UK Secretary of State “Future of Computer Trading in Financial Markets Project” and co-authored regulatory impact assessments related to MIFID 2.
Professor Skouras has a long-standing research interest in integrating econometric methods with technical analysis. As early as 2001, he published “Financial Returns and Efficiency as seen by an Artificial Technical Analyst” in the Journal of Economic Dynamics and Control and “Learning to profit with discrete investment rules”, in Quantitative Finance. In addition, he has a broad interest in empirical finance and has published in several other leading academic journals such as the Journal of Econometrics and the Journal of Urban Economics.
Professor Skouras is a graduate of Cambridge University, Universitat Pompeu Fabra and the European University Institute.

   
ABSTRACT

In this talk Spyros Skouras will discuss the distinction between technical analysis and algorithmic or quant trading and the key insights technical analysis has brought to the quant community. Spyros Skouras will review the quant landscape focusing especially on strategies pursued widely by hedge funds, and he will discuss the current and future position of technical analysis in this landscape. Finally, Professor Skouras will discuss whether lukewarm performance experienced by most managers in this area in the last two years are consistent with expected performance randomness or should alter our expectations moving forward.

SPEAKER PROFILE

Since the early 1980s, Alberto Vivanti has been a technical and quantitative analyst, as well as an asset manager with Swiss institutions. He is Vice President of the Graubünden and Liechtenstein Chapter of the Swiss Association of Market Technicians (SAMT). In 2003, Alberto founded Vivanti Analysis, a Swiss independent provider of investment strategies and asset allocation techniques for institutions and private investors. Alberto is an author of a technical newsletter, a lecturer at institutions, an organizer and instructor of technical analysis courses in Switzerland for the IFTA certification, author of articles and books, and co-author of a book with Perry Kaufman. Alberto chaired the 2006 IFTA conference in Lugano. He was a speaker at both the 1998 IFTA conference in Rome and 2006 in Lugano. For many years, Alberto has been a regular contributor to Swiss radio financial news.
Alberto's work is a technical/quantitative approach to investing through the application of proprietary, momentum-based allocation models, with a focus on sector investing through relative strength techniques. He is a regular contributor to SAMT's Swiss Technical Analysis Journal and other professional publications and websites.

The main focus of Alberto Vivanti is a technical/quantitative approach to investing through the application of proprietary momentum based allocation models, with a strong accent on sector investing through relative strength techniques. He contributes regularly to the Swiss Technical Journal of SAMT and other professional publications and websites.

   
ABSTRACT

Trend Filtered Momentum Based Allocation Strategies on Equities Sectors. Tools for Enhancing the Quality of Portfolio Returns.

The role of today’s market technician is more and more oriented towards the optimization of the investment process in global asset allocation. A huge contribution to the algorithmic analysis is given by momentum based techniques as a basic component of quantitative allocation models. This presentation will introduce the methodology for obtaining a risk-controlled portfolio by combining ETFs on equities sectors, through a bottom-up selection based on trend following techniques. In fact, trend based strategies can dramatically improve the risk optimization factors in portfolio construction by reducing volatility through a trend based variable exposure and multiple weighting criteria. Their application is quite flexible, it may range from global asset classes to single components in a specific market and the modern diffusion of ETFs helps its implementation dramatically. Yet, their combination requires an analytical process that should consider cyclicality of volatility and correlations for an optimal blending among strategies.

SPEAKER PROFILE

Senior Technical Analyst at Caxton Associates.

At Caxton Mr. Ronco follows FX, rates, equities and commodities with a macro view. As a medium-term trend follower, his approach is strongly quantitative in nature; particular attention, however, is devoted to identifying reversal patterns characterized by excessive consensus among investors.
Mr. Ronco brings more than 20 years of experience in trading, quantitative analysis, and teaching technical analysis in the United Kingdom and Italy. Prior to joining Caxton in April 2016, Mr. Ronco worked for ADB Sim, Credit Agricole Indosuez, Banca Intesa, Banca AntonVeneta (MontePaschi Group), FBR Capital Markets and Aviate Global.
A member of the Market Technicians Association (MTA) and Honorary member of SIAT, Mr. Ronco was a speaker at the 2015 MTA Annual Symposium in New York, at the 2011 IFTA presentation in Beijing and at the 1998 IFTA conference in Rome. He has contributed with several presentations to the MTA (London Chapter), the UK STA and Italian SIAT associations since the early 90s.
His work is mentioned in the book Capital Market Revolution: The Future of Markets in an Online World by Patrick Young. Mr. Ronco received his degree (with honors) in Economics from the University of Turin.
He currently holds the Chartered Market Technician (CMT) Level 1-2 and CFTe diplomas.

   
ABSTRACT

Multi asset class Trend following profitability has been under pressure for many months. Looking at robust applications at a sector and factor levels for US, EU and global equities. Role of trend following not only as a bullish/bearish "regime" detector but also as a strategy selector. Impact of correlation / volatility for trend following in equities, bonds and commodities and comparison with risk parity. Finally, comparing traditional trend following models with my latest line of work.

SPEAKER PROFILE

Francesco Caruso, MFTA, is advisor of the Global Asset Strategy Amber Fund and president of Market Risk Management, an investment advisory company that provides technically-driven money management services, and develops and provides proprietary research for institutions and individuals. Member of the IFTA Board, Vice President of SIAT, the Italian Technical Analysis Society and President of the SIAT Scientific Committee. Official speaker at the IFTA Conferences 1998 (Rome), IFTA 2006 (Lugano) and IFTA 2016 (Sydney). Graduated in Economics at the Bocconi University, he has more than 25 years of experience in the development and application of quantitative analysis to asset management and asset allocation models. He published several books and articles and created technical models and indicators available on most financial charting software and platforms, such as the Composite Momentum, the DiffRS, the ATR Bands, the Thermic Indicator and the Fear/Complacency Index. He is actually developing a new AI software based on his model, indicators and algorithms. Awards: • John Brooks Memorial Award IFTA 2008 (“Technical Tools and Equity Selection: A Reward/Risk Rating Indicator for the Stock Market Components”, published in the official 2010 IFTA Journal) • International award “Golden Leonardo of the Financial Research” 1997 and 1998 • SIAT Award 2011 and 2015. Mr. Caruso has developed several investor websites: www.compositemomentum.com, www.cicliemercati.it, www.francescocaruso.net, is a frequent lecturer on technical and quantitative analysis and is involved in projects and courses regarding the diffusion of technical analysis. He is Visiting Professor at the Cassino University and teacher in the Executive Master in “Quantitative and Technical Analysis of the Financial Markets”.

   
ABSTRACT

THE COMPOSITE MOMENTUM: A NEW INDICATOR FOR TRADERS AND INVESTORS

One of the basic tenets of technical analysis regards both the cyclicity, the fractal composition and the non-randomness of markets. In his talk, Francesco Caruso will present a new technical indicator, COMPOSITE MOMENTUM, designed to identify the underlying trend, turning points, excess situations and potentially profitable setups and the waves of momentum (cyclical) trends, through an intuitive reading and a setup of simple rules, with no need of optimization or parameters. He will also discuss how to use the indicator to structurally extract patterns both on the short and medium/long term time frames, on every financial market (indices, sectors, stocks, commodities, currencies, economic data). A trading model will be presented.
The COMPOSITE MOMENTUM has recently been included among the official studies/indicators of technical analysis on the BLOOMBERG platform.
The study is part of the paper awarded with the first edition (2008) of the IFTA “John Brooks Award". The goal was to find a momentum oscillator that could be at the same time stable enough to avoid the typical noise of most indicators, and responsive enough to quickly perceive the change of trend and work as an entry/exit model.

14:30 – 15:15
Andrea Unger

SPEAKER PROFILE

Born in Tuttlingen (Germany) on 2/12/1966. Graduated cum laude in Mechanical Engineering in 1990 at the internationally known “Politecnico di Milano” and member of MENSA Andrea became an independent trader in 2001 and focused on development of trading Systems. In 2004 he attended a seminar of Larry Williams to improve his skills and in 2005 he won the TopTraderCup in futures division with over 60% performance in 3 months. the same year he won the monthly race of the Tcup organized by the Italian broker IwBank with over 50% in one month. The obtained results allowed him to become honorary member of the “National Investment Consultant Organization” and to become graduated “honoris causa” in “Portfolio Management and Asset Allocation”. In 2006 his mathematical mind led him to publish the first book in Italian language about Money Management . In 2008, Andrea became the first Italian trader to win the most famous trading championship all over the world, he won The World Cup Trading Championships® in the futures division with an astonishing 672%. In year 2009 Andrea became the first back to back winner of the competition in nearly 20 years winning again with 115%. And in 2010 Andrea became the first trader ever winning the competition three years in a row ending first with 240%. In 2012, after PFGBest bankruptcy Andrea enters the newly organized Q4 contest scheduled from October to December and wins with 82% performance. Andrea is also a member of SIAT, the Italian Technical Analyses Organization member society of IFTA (International Federation of Technical Analysts) and is part of the technical committee of this society. Andrea has been invited as a speaker to several important financial events in Italy (Milan, Rimini, Rome), Germany (Aschaffenburg, Frankfurt, Lohr am Mein) , Czech Republic (Prague) , China, Malaysia, Singapore, Dubai and New York.

   
ABSTRACT

CPU, Eyes and the Markets

Trading approaches follow today mostly 3 ways, the first is the well know discretionary approach based on chart studies, a second one is a pure algorithmic way to study and trade the markets and a third uses Algos to dig into data and general technical inefficiencies. We don’t consider the third approach as that is nearly not even a trading game any longer transformed into a CPU battle to be faster in reading and acting. Looking into the other two we notice that the pure algorithmic approach tries to start from the chartist way of reading the markets and automate what humans do; yet what the eyes see, filtering important information, is caught by the computer and a rough translation of most discretionary techniques is most often a failure, on the other hand the computer can analyze many more scenarios than any human being could even consider so these two approaches continue to move on parallel tracks never finding a meeting point.

SPEAKER PROFILE

Robert R. Prechter, CMT, is known for developing a theory of social causality called socionomics and for his career applying and enhancing the Wave Principle, R.N. Elliott’s fractal model of financial pricing. Prechter has made presentations on socionomic theory at the London School of Economics, the University of Oxford, the University of Cambridge, MIT, Trinity College Dublin, Georgia Tech, SUNY and various academic and financial conferences. In 2005, Prechter created the Socionomics Institute, which is dedicated to research and the application of socionomics, and the Socionomics Foundation, which supports academic research in the field. Prechter and colleagues have written several academic papers, including “The Financial/Economic Dichotomy” (2007) and “Social Mood and Presidential Elections” (2012), which became the third most downloaded paper on the Social Science Research Network that year. Prechter graduated from Yale University in 1971, joined the Market Analysis Department of Merrill Lynch in New York in 1975 and founded Elliott Wave International in 1979, where he has published monthly market analysis in The Elliott Wave Theorist. Prechter has served as a member of the board of the Market Technicians Association, as the MTA’s President in 1990-1991 and as a member of the advisory board of the MTA’s Educational Foundation. He is a member of the Triple Nine Society and the Shakespeare Oxford Society. Prechter has authored, edited or contributed to 18 books. His latest work, The Socionomic Theory of Finance, aims to replace conventional financial and macroeconomic theory with an internally and externally consistent paradigm based on socionomics.

   
ABSTRACT

Linear vs. Fractal Extrapolation

In this presentation, Prechter examines people’s natural tendency to extrapolate social trends linearly, a practice based on the unconscious assumption that outside forces are required to alter social trajectories. As an alternative, he offers extrapolation based on a fractal model of social change, which is based on the conscious observation that social trends fluctuate according to internal dynamics. The former method derives from a paradigm of mechanics, the later from the paradigm of socionomics.

SPEAKER PROFILE

Ph.D. Economics, University of Birmingham. Diplom-Kaufmann, Universität Osnabrück. MSocSc Money, Banking and Finance, University of Birmingham.

Van Luu is the Head of Currency and Fixed Income Strategy in the Investment Division, based in London. Together with the firm’s Implementation Services, he helps to design dynamic currency hedging strategies for pension funds and other institutional investors. He also conducts research and provides strategy advice in fixed income. Before re-joining Russell Investments in June 2015, Van was in the Allocation Strategies Department at Norges Bank Investment Management (NBIM), the manager of Norway’s Sovereign Wealth Fund. He advised on fund strategy and asset allocation. From 2007 to 2010, Van was a Senior Research Analyst at Russell Investments in London. Prior to that, he served as the Head of Bond Markets/Economics Research at Landesbank Baden-Württemberg (Germany’s third-largest bank by assets) for six years. Van has published his research in academic and practitioner journals, including the Review of Quantitative Finance and Accounting, Journal of Investment Management, Journal of Fixed Income, and Journal of Investing.

   
ABSTRACT

Trend-following strategies in the multi-asset portfolio context

Trend-following strategies capture positive returns in many markets, particularly equities, fixed income and currencies. On a standalone basis, trend-following strategies have positive skew and behave similarly to an option straddle (a long volatility position). When combined with long exposure to traditional asset classes like equities and bonds, they improve the return-to-risk trade-off of portfolios because they provide positive returns during market crashes. We study how much a multi-asset investor should allocate to trend-following strategies using different optimization methods. Investors who care more about downside and tail risk should put greater weight on trend strategies and less weight on carry strategies.

SPEAKER PROFILE

As a Web and Trading Online pioneer in Italy, Roberto Malnati has developed for more than 20 years quantitative analysis models through expert systems and neural networks in the industrial field and in the wholesale market. By refining the above model capacities he has found in the financial analysis field their optimal use.
He has developed and achieved Luxor Trading System which is used by Financial Institutions and marketed by Sole24Ore. Roberto Malnati has also been one of the founding members of Finanzaonline.com and the developer of FinanzaonlineSpa quantitative analysis models.
At present he works in Lugano and hold a partnership in Ten Sigma Sagl, a company whose skills are proven by the market and credit risk management and risk assessment, management consultancy and financial products distribution to Institutional decision-makers.
Roberto Malnati manages the development of quantitative analysis

   
ABSTRACT

Technical analysis. Back to future with neural nets. The future of neural nets in a financial environment will go at the same pace as the ability properly “reverse engineer”. Many of the decisional processes found by the neural nets are strongly linked to already-known models and institutions, given by technical and quantitative analysis. The process of reverse engineering deals with a detailed analysis of the mode of operation of a software (usually a neural net), aimed to produce a new software that works in a similar way, but increasing the efficiency. Why? Because there's a high probability that a neural net (a “black box”) will point out the purchase of a title that will be object of a takeover in the following days. Therefore, every signal must give a certain model, which, for every given data, will always give the same result. Basically, every decision must be completely reachable, and this is only possible with reversed engineering.

SPEAKER PROFILE

Mohd Redza is a Portfolio Manager at Phillips Capital Management managing private client fund. He started his career as an Equity and Futures Derivatives representative at RHB Investment Bank in 2012. His experience in Futures Commodity market lead him to focus on working towards the development of Algorithmic Trading System and Intraday trading programmes in commodity trading. He has been invited to more than hundreds of seminar to share his knowledge on different aspect of technical analysis and trained more than 3000 individuals. Redza is a Certified Financial Technician (CFTe) and a full Member of United Kingdom Society of Technical Analyst (STA).

   
ABSTRACT

The Future of Techniacl Analysis : from Algo to Artificial Intelligence (AI)

Since the rise of Algorithmic Trading, many asset managers move towards automated system to minimise market impact and risk in execution. Technical Analysis is one of the primary methodology has been use develop high probability trading system. Thousands of automated system explored and developed ever since. So what’s next? Can we tell the difference between Algorithmic Trading and Artificial Intelligence trading system? Will AI able to self-adjust itself to fit changing market condition?

SPEAKER PROFILE

Miyoko Nishimura, MBA, MFTA is a Technical Analyst and Strategist in the Investment Information Department of Mizuho Securities. (http://www.mizuho-sc.com)

Miyoko won the John Brooks Memorial award for the best MFTA paper for 2015.

She first became interested in futures markets while studying at the University of Newcastle in Australia. From 2003 to 2015, she worked for one of Japan’s leading commodity brokers. She achieved recognition for three years in a row as a top salesperson and as head of the company’s top-performing branches in Tokyo. While working as a trainer in the HR department, she made presentations to staff throughout Japan. She also contributed to the company’s Diversity Project. During this period, she also found time to earn an MBA at Tama Graduate School of Business and to raise her two young children. She worked for two years as a stock futures broker. In 2014 she joined the company’s Investment Research Division as a Technical Analyst. Since joining Mizuho in 2016, she has presented technical and macro-economic seminars to potential customers throughout Japan and provided market reports and commentaries. Since September 2016 she has provided commentary on Nikkei CNBC. As an NTAA member she has played roles of presenter, coordinator, moderator, and translator of seminars.

   
ABSTRACT

Chasing “SKURT” Signals

A SKEW Index shows whether the distribution of stock prices is biased towards an increase or a decline. The former suggests the stock price is rising, the latter suggests it is falling. In other words, SKEW can be used as a statistical indicator to measure the strength of an advance. We devise a KURT index that shows whether the stock price distribution is concentrated or dispersed. A concentrated distribution suggests that a trend is present a dispersed distribution suggests that the trend is not clear. In other words, KURT can be used as a statistical indicator to measure the presence or absence of a trend. We combine these two statistical measures (affectionately, “SKURT”) to generate trade signals and investigate their effectiveness for actual trades. In other words, if SKEW suggests a rise in stock price, and KURT suggests the presence of a trend, we have a buy signal. If SKEW suggests a decline in stock price, and KURT suggests the presence of a trend, we have a sell signal. And when either disappears, we have a close signal. We report the effectiveness of the signals for conducting trades in several representative futures markets and indexes.

SPEAKER PROFILE

Graduated in Aeronautical Engineering, after the MBA, Eugenio has dedicated himself to the study of Technical Analysis, Quantitative Analysis and Intermarket Analysis. As a trader, he specialises in the Futures Market and in particular on the Options. He is also author and editor of several publications on financial issues. He has developed innovative techniques related to cyclical dynamics and he has designed a dedicated software.
Eugenio has a 20-year experience as a teacher on Trading techniques. He writes articles for several websites and financial newspaper and he cooperates as a speaker during the most important national financial events.
Eugenio is a member of the SIAT Scientific Committee and the Vice President of the Board.

   
ABSTRACT

Shape is your friend

The fractal dynamics are one of the key assumptions of technical analysis. We will try to go deeper into this subject in order to determine whether there are recurring shapes and their characteristics. The target is to define the most objective parameters as possible in order to calculate indicators and oscillators and outline the market phases most likely to have a trend.

SPEAKER PROFILE

Head of Systematic Funds

Steeve Brument has been Head of Systematic Funds at Candriam Investors Group since 2007. He joined Candriam in 2001 as a Fund Manager. After spending 5 years working both on researching new models as well as on improving operational efficiency, he took responsibility of the Candriam Systematic Funds department.

In 2007, he built a new CTA program for Candriam aiming to provide investors with the main characteristics of CTAs while being more resilient during market turn around and consolidation phase. The new program included new allocation techniques, inclusion of nontrend following models, and dynamic risk management frame work.

The following years were spent monitoring and fine tuning the new program as well as launching a UCITS vehicle (2009). More recently Steeve leveraged on his latest research and experience to launch a new systematic strategy providing investor with a directional long short equity program trading solely futures.

   
ABSTRACT

There is several way to protect diversified portfolios against markets extreme moves, diversified trend following is one of them, it carries the rare advantage of protecting capital while offering positive uncorrelated performance. As a CTA fund managers how can we protect and reinforce our portfolio to address our own adverse environment. What are the limit to that approach?

SPEAKER PROFILE

Dr. Gregor Bauer, CFTe, works as an independent asset manager for private clients and companies in Germany (www.drbauer-consult.de) and is a registered Financial Analyst with the German Regulation Authority “BAFIN”.

He is also President of the German Association of Technical Analysts (www.vtad.de). Gregor his one of the most renowned technical analysts in Germany with more than 20 years’ experience in the markets. He holds the CFTe Designation, authored two books on technical analysis and covers a regular technical outlook on German TV. He also writes articles on a regular basis for leading financial magazines. He is specialized in applying advanced candlestick techniques in combination with traditional western techniques and also fundamental aspects.

He holds lectures in Portfolio Management and Technical Analysis at various elite Universities in Germany and Liechtenstein and runs seminars and workshops on Technical Analysis and markets outlook for institutional Investors and private Traders.

Gregor serves on the board of directors of IFTA and in his capacity as Exam Management Director he oversees the exam administration and is responsible for structuring the exams. He spoke three times at IFTA conferences.

   
ABSTRACT

Technical Analysis Concepts used in Dynamic Asset Allocation

In his presentation, Dr. Gregor Bauer will focus on Sector Rotation Strategies applied in Dynamic Asset Allocation Systems, which work well for active asset managers who have a medium to long term perspective. Dr. Bauer shows, how well known fundamental approaches, like the „Low Risk-Anomaly-Phenomenon “, the „Dividend-Strategy“ or the „Momentum-Strategy“ already outperform Buy-and-Hold significantly. But: Combining these effects with technical Trend-Following- Indicators will result in even higher outperformance. The presentation focuses on the Dynamic Allocation of the 19 Super-Sectors of the DJEuroStoxx 600 Index and sheds light on the combination of timing and risk-based strategies to improve the process of portfolio optimization. Gregor Bauer will present various Allocation-Setups, giving precise Entry- and Exit Rules and a complete Performance-Evaluation of each strategy, thus proving how asset managers can improve performance results by employing these technical concepts. Investors interested will be able to copy or adopt these strategies according to their needs, and will therefore immediately benefit from the presentation.

SPEAKER PROFILE

Prof. Ferdinando Ametrano teaches "Bitcoin and Blockchain Technologies" at Politecnico di Milano and Milano-Bicocca University. Former Head of Blockchain and Virtual Currencies in Intesa Sanpaolo bank, he is member of the Scaling Bitcoin Planning Committee and has been Chairman of Scaling Bitcoin 2016 in Milan. His academic research focuses on price stability, advocating automated non-discretionary elastic monetary policy for a new generation of cryptocurrencies (Hayek Money).
He is also founder and co-administrator of the QuantLib project, a comprehensive free/open-source software framework for quantitative finance and teaches Interest Rate Derivatives as Adjunct Professor at the Milano-Bicocca University.

   
ABSTRACT

Bitcoin As Investment Asset

Bitcoin is introduced as being a crypto-commodity more than a crypto-currency, making the point about its ambition of being the digital equivalent of gold. For the first time in digital realm, there is a scarce asset that can be transferred but not duplicated, inflated, or manipulated. With its track record of amazing returns, bitcoin has of course experienced proportionate risks; as a new asset class, bitcoin should be considered as investment even just for the sake of diversification.

SPEAKER PROFILE

Enrico Malverti – Director & Quant Analyst at Cyber Trade.
Enrico Malverti is a systematic trader and one of the pioneer of the fintech industry in Italy. He has developed automated trading systems for institutional clients (funds, asset management firms and banks treasuries) on stocks, bonds, currencies and futures for over 16 years. He’s quantitative analyst & member of the board of directors at Cyber Trade, an italian fintech company. He is the author of several best-seller books about trading systems and technical analysis including “Trading systems vincenti”, “Il manuale del risparmiatore” and “I segreti dei trading system” published by Hoepli from 2012 to 2016. Previously he wrote books for Trading library, Experta, Il Sole 24 Ore. He’s a contributor of Class CNBC. He has also been an appreciated speaker at numerous national and international seminars on automated trading for almost fifteen years in Italy, UK and USA. Enrico has covered the role of Chief Investment Officer in an Italian Financial Consultancy Firm for four years and is now Portfolio Manager (FCA regulated) at Pairstech Ltd. Enrico Malverti is professional associate of SIAT. He won the ITCup (Italian Trading Cup) – trading system category in 2017 with a performance of 30,51% in two month.

   
ABSTRACT

The seminar aims to show the design principles of a strategy of algorithmic trading for futures, bonds and equity markets based on short term patterns. Enrico Malverti will analyze the strategies to be adopted, four previously unpublished patterns that will be included into his next books and the procedures for backtesting. The author has been one of the first divulgers of the principle of diversification multi market multi strategy multi time frame completely automated and he will show his algorithms that he uses for his proprietary trading and for institutional money management in real time. The topics that will be dealt are: • Short term Patterns • Ratio between two data series • Portfolio analysis • Testing in sample -out of sample • Walk forward analysis • Examples real money / real time • WideTrader: software for foolproof robotrading executions

SPEAKER PROFILE

John Bollinger is the president and founder of Bollinger Capital Management, Inc., an investment management company that provides technically driven money management services. He is probably best known for his Bollinger Bands, which he developed in the early 1980s. Traders and investors worldwide use Bollinger Bands to assess expected price action in the financial markets, and the bands are featured on most financial charting software and websites. His book Bollinger on Bollinger Bands was published by McGraw-Hill in 2001 and has been translated into twelve languages. His website www.BollingerBands.com is the hub for everything related to Bollinger Bands. It is the home of his Bollinger Band Letter and offers free and for pay educational materials as well as information about Bollinger Band Tool Kits available for various financial platforms. www.BollingerBands.it and www.BollingerBands.us provide his indicators and methods for the Italian and US equity markets. John Bollinger graduated from the School of Visual Arts majoring in cinematography and started studying the market shortly thereafter. After purchasing his first microcomputer in 1977, Mr. Bollinger became involved in the seminal stages of computer driven market analysis. Today he continues to write some of his own software and develops analysis tools for traders. Mr. Bollinger is the recipient of the Technical Securities Analysts Association of San Francisco 1995 Lifetime Award for Outstanding Achievement in Technical Analysis, the Market Technicians Association 2005 Annual Award for Outstanding Contribution to the Field of Technical Analysis, and the International Federation of Technical Analysts (IFTA) Lifetime Achievement Award in 2015.

   
ABSTRACT

A Personal History of Technical Analysis

John Bollinger will present a personal history of technical analysis focusing on the contributions of the individuals that he found most useful in his investment process. The focus will be on the practical application of classic technical analysis materials. He will provide a short bibliography of the works that he found the most impactful.

SPEAKER PROFILE
Sergio Paolino

Sergio Paolino was born in Milan on July 31st 1947. Obtained the scientific maturity, he enrolled at the Faculty of Engineering at the Politecnico di Milano.
After taking a doctorate in Mechanical Engineering, with specialisation in the design of industrial plants, he began to deal with industrial machinery and production processes. Then, in his fourth working life, which began in 1984, he dealt with full time technical analysis and he has always privileged the construction of trading system to any other approach.
Since 1989 he is an ordinary member of AIAF (Italian Association of Financial Analysts).
He was president of SIAT (Italian Society of Technical Analysys) for nine consecutive years. After his resignation he moved from Milan to Asti.
He held countless technical analysis seminars, most of them dedicated to trading systems.
On the weekly "Borsa & Finanza" he published about 1000 issues of technical analysis and the explanation of how they are made and how they have to be used with more than 500 indicators. He also published more than 30 different indicators of its design.
To evaluate the goodness of his indicators he used tests based on the Monte Carlo method  and he created a revised one called “Limited Chaos”.
“The real richness is the time and we are obliged to spend it all: more free time we are richer”-  that's his motto.

   
ABSTRACT

In 1887, a prize was set up to solve the problem of the 3 bodies; the winner was the mathematician Henrì Poicaré. His theories were resumed by others around 1950 and finally, in 1963 René Thom formulated the Theory of Catastrophes, which he found his first application in the topology; later Erik Christopher Zeeman gave the cusp catastrophe an interpretation that could be used to explain the stock markets trend. Excellent for a qualitative trend explanation, but insufficient to have quantitative information applicable in real time. The theory of bifurcations is linked to the previous one, but it can also provide a quantitative information; It is easier to use as it can operate in the plane with equations of the 2nd order and not of the 4th order as for the theory of the cusp catastrophes. Bifurcation Theory can provide a risk measurement in the stock markets and we use it to try to eliminate the false signals of a trading system.

14:30 – 15:15
Richard Peterson

SPEAKER PROFILE

Richard L. Peterson MD works at the intersection of mind and markets. As CEO of the MarketPsych group of companies (www.marketpsych.com) he directs a team incorporating psychological insights to provide the global standard in media sentiment data (MarketPsych Data LLC), develop market-beating investment strategies (MarketPsy Capital LLC), and strengthen advisor-client relationships (MarketPsych Insights LLC). Called "Wall Street's Top Psychiatrist" (Associated Press), his financial psychology research has been published in leading academic journals, textbooks, and profiled in the financial media including NPR, CNBC, the Wall Street Journal, the Financial Times, and the BBC. His book, "Inside the Investor's Brain" (Wiley, 2007), was praised as "outstanding" and a "seminal text" by Barrons. With Frank Murtha PhD he co-authored "MarketPsych: How to Manage Fear and Build Your Investor Identity" (Wiley, 2010). Both books were named top financial books of their respective years by Kiplinger's. His latest book is "Trading on Sentiment:  The Power of Minds over Markets" (Wiley, 2016).

Dr. Peterson earned cum laude degrees in electrical engineering, arts, and medicine (MD) from the University of Texas, performed post-graduate neuroeconomics research at Stanford University, and is Board-certified in psychiatry. He lives in California with his family.

   
ABSTRACT

Most investors suspect that market psychology - such as cycles greed and fear - influence asset prices. There is little systematic research into whether this occurs and, if so, how investors can take advantage of it. Evidence from the emerging field of sentiment analysis demonstrates the importance of media and information flow in fueling price patterns such as overreaction and underreaction. Sentiment refers to the feelings, attitudes, and beliefs of investors. In this talk we demonstrate how media sentiment data is created through text analytics. We present evidence that the sentiment expressed in news and social media can significantly lead price action.

This talk will help attendees:

• See how the human brain predisposes investors to collective risk-related behavioral patterns.

• Understand how text analysis captures sentiment in news and social media.

• Identify the information types that trigger crowds to overreact or underreact to news in financial markets.

• Understand when you should invest along with the herd, anticipate a turning point, and when it is best to take a contrarian approach

SPEAKER PROFILE

Chief Investment Officer of NN Investment Partners and Delta Lloyd Asset Management Previous work experience: Valentijn has substantial experience working in financial markets and joined the firm in 1999. Prior to becoming Chief Investment Officer, Valentijn held the role of Chief Strategist and Head of Multi-Asset from 2013 to 2017 and from 2010 to 2013 he was Head of Strategy within Multi-Asset. He is a key spokesperson for the company and appears frequently at client events and in the media.

   
ABSTRACT

As active asset manager, NN Investment Partners approaches markets as a complex adaptive system that does not always behaves rationally and does not always efficiently converge back to an “optimal” equilibrium. This stems out of all human behavioural biases which influence broader group behaviour under certain conditions. To better manage uncertainty and to exploit all opportunities created by behavioural biases, we use “big data” analytics from Marketpsych to profile investors’ emotions. Extensive research has proved that this approach is adding value to our decision making process in asset allocation. The presentation wishes to demonstrate the effectiveness of this innovative approach.

SPEAKER PROFILE

Kathryn M. Kaminski, PhD CAIA is an author and specialist in systematic investing. She co-authored the book “Trend Following with Managed Futures: The Search for Crisis Alpha” published by Wiley Trading in 2014.
Kathryn held prior positions as director, investment strategies at Campbell and Company and senior investment analyst at RPM, a CTA fund of funds.
She also held the position of Deputy Managing Director of the Institute for Financial Research and affiliated faculty at the Stockholm School of Economics in the department of finance.
She has been a senior lecturer at MIT Sloan and visiting professor at the Swedish Royal Institute of Technology (KTH).
Her work has been published in a range of industry publications as well as academic journals.
In 2015, Kathryn was listed as one of the top 50 leading women in hedge funds.
Kathryn holds a BS in electrical engineering from MIT and a PhD in operations research from MIT Sloan.

   
ABSTRACT

TechnoQuant: The convergence of Technical Analysis and Quant Methods

There is a continued convergence between quantitative and technical approaches. Price momentum is a persistent market anomaly and approaches to capturing the value of trend following are now blurring the lines between technical and quantitative methods. This fusion has led to new insights and applications for investment professionals globally. Trend following is one of the most classic trading strategies and we will discuss new insights and experiences at the intersection of academia and investment practice.

SPEAKER PROFILE

Financial analyst, Professional member of SIAT, the Italian Technical Analysis Society, expert in commodity markets as well as diversified portfolio construction with ETFs and ETCs. Chairman of the Investment Committee of ABS Consulting SCF.
Founder of Mazziero Research, with activities ranging from the publication of reports and analyses for banks as well as companies and assistance to define appropriate strategies to hedge commodity risks.
Lecturer in training courses for Universities, stock exchanges, corporates and banks, he performs the commodities course of Master SIAT Advanced.
Author of numerous studies and books, including "Guide to Technical Analysis" and “Investing in Commodities” in addition to the quarterly Italian Debt Observer, Scientific Journal on Public Italian Accounts (ISSN 2283-7035 CINECA No. E230240).
He is often invited as an expert in markets and economics at conferences, seminars, business conventions and radio TV programs.

   
ABSTRACT

Commodity prices are tied to supply and demand of physical goods; the so-called “commercials” are in possession of important information about the costs of production and storage, as well as of volumes of production and the general state of the equilibrium in the market. For this reason, observing their behaviour can offer insights as to the level of under or overvaluation in a given market. At the same time, the forward curve of a commodity should always be in contango, with an upward-sloping difference between the near month and longer maturities due to the costs of storage and maintenance. However, there are times when supply and demand are out of balance, causing the forward curve to go into backwardation, with a downward slope between the near month and longer maturities. It follows that an analysis of the graphs of the positions of the commercials in the CFTC Commitments of Traders Report, together with an analysis of the evolution of the forward curve, can help to identify the main inversion points for commodities prices. The presentation explains which approaches to adopt and how to avoid the traps of this method of analysis.

SPEAKER PROFILE

Rolf Wetzer is past president of IFTA. He started working for IFTA in 2007, became a board member in 2009 and finally president in 2012. He redesigned the CFTe syllabus, was the editor of the IFTA journal and is heading the MFTA program since 2011. He is a member of the Swiss Association of Market Technicians (SAMT) and the prestigious German Statistical Society (DStatG). Rolf is a portfolio manager with a twenty-year track record of managing institutional and private assets, heading teams and trading successfully proprietary money within major financial institutions. Currently he is CEO and co-founder of Ghiribizzo, a company specialized in algorithmic trading of proprietary money. He designed favorable quantitative investment strategies and products and specialized in position sizing. He also lectures these topics at universities. He was awarded by the VTAD (German TA society) as best German Technical Analyst in 2006 and was runner up in 2007. As a frequent speaker on financial and management topics he presented globally in 5 continents. Rolf holds a PhD in Econometrics and graduate degrees in Business Administration and Management from both Technical University of Berlin (Germany) and Toulouse Business School (France).

   
ABSTRACT

Trend Hierarchy. A simple algorithm to detect order in market structure

Detecting trends is the core ingredient of every trading program. Legions of technical analysts have published studies on the current state of market trends. Furthermore, every legend in Technical Analysis - like Dow, Elliott or Wilder – has developed his own trend definition or a method to describe the prevailing market structure. It seems that we know everything about trends: direction, speed, slope, significance and major points within the movement. And yet we still differ more often than not about the markets. This presentation describes a simple algorithm to depict trends of different orders and length. It is explained in detail and can be done in MS Excel. It is intuitive in a sense that most of us would agree on the basic idea and the outcome. A range of possible application to analysis and trading is given and discussed.

SPEAKER PROFILE

Ivano Menabue, born in 1958 and with electronic education, operates on financial markets since 1982 also for institutional investors.
The deep knowledge developed in classic and algorithm/ quantitative technical analysis enables him to combine this more consolidated approach with the peculiarities of Artificial Intelligence (both genetic and neural), in the creation of a proprietary Big Data of Operating Behavioral Finance that acts as basis for the intellectual and technological architecture.
This results in a set of innovative, original and exclusive tools to monitor buyers/ sellers volumes in any financial platforms and products available across markets globally.
Entrepreneur since finished the studies, in 2008 Ivano realized a proprietary platform of analysis, founded on the strategic information emerging from this peculiar architecture, which is currently the focus for sharing technical contents and operating partnerships.
He was Chairman of “SIAT” (the Italian official Association for Technical analysis and Analysts) between 2007 and 2016, and lecturer in several Italian and international specialized events.

   
ABSTRACT

Artificial Intelligence to assess buyers/sellers volumes and 20-years lasting Big Data of market behaviors as pillar for stable and strong standing in Asset Management

The generation of the original intellectual and technological architecture will be explained starting from the criticalities of the traditional Technical Analysis and specifying the concept of “Intelligence” underpinning in the markets compared to what often is referred to improperly. Details on the most relevant features of Artificial Intelligence, its challenges and potential mitigations will be provided, with reference to specific applications. The actual value added from the Artificial Intelligence will be then considered in relation to the joint application with Technical Analysis (and vice versa). The resulting architecture will help us to discuss the markets dynamics of the last 20 years analyzed in the Big Data archive. For the first time ever, we'll be showing live a “strength test” originally designed to probe the robustness of the provided strategies. Several graphs will be shown during the presentation with practical operating examples to finally provide cause for reflection on the main equity global markets and crypto currencies.

SPEAKER PROFILE

Paul is the managing director of Enhance Your Options Pty Ltd, a company specialising in options education and training.
Paul’s education and career is both broad and varied. He has worked as a farm manager, life insurance agent, high school teacher (Fiji), university tutor and lecturer, IT training manager (UK) and organisational change manager (AUS). It from this background, that he brings a very different perspective to most things that he applies himself to, financial education being one of them.
Having returned from 9 years living in the UK to his Australian homeland in 2012, he decided to fill a niche that he saw in the area of providing quality financial education and training, particularly as it relates to options trading.
Not content to produce just another options trading course, he applied his skills and expertise in data manipulation and proven learning concepts to develop courses that enrich the learning experience. To facilitate this, a number of proprietary options training tools have been developed, the flagship of which is the RoToR Payoff Diagram®.
These tools and the courses that are based around them, are the culmination of 25 years’ experience in adult education and training, technical analysis skills and over twenty years’ experience in investing and trading, and a life of seeing things from a different perspective to others.
Paul is an experienced and highly regarded speaker having delivered presentations in Australia, United Kingdom, Egypt, Malaysia and New Zealand and presented global webinars for the MTA and IFTA.

   
ABSTRACT

The RoToR Payoff Diagram®: Distinguishing what’s probable from what’s possible

The RoToR Payoff Diagram® addresses the following key deficiencies inherent in the traditional payoff diagram. 1) Market Outlook - It allows the Technical Analyst a means of reconciling the historical price action of the underlying instrument and any inferences that (s)he may have on the future direction and momentum of the trade, with a quick visual guide to the zone(s) of prices necessary for a profitable options strategy trade. 2) Market Volatility - It allows the Technical Analyst to make an assessment about the underlying instrument’s historical volatility and trend in terms of a suitable options strategy. 3) Likely Outcomes - Using the Volume At Price technical indicator as the basis for the probability distribution function (pdf) of the Underlying Instrument’s future price, the Expected Monetary Value allows for the direct comparison of various options strategies, so that a strategy with limited risk and unlimited profit can be usefully compared against a strategy that has limited risk and limited profit. The presentation will describe the key attributes of the RoToR Payoff Diagram® and highlight future developments.

SPEAKER PROFILE
Davide Bulgarelli

SIAT President and IFTA2017 Chairman. Technical Analyst and Asset Manager in BNL -BNP Paribas. Nominated Top Fund Selector Italy 2014 – 2015 -2016 by the FundsPeople Magazine and Personality of the year 2016 by the Investment Europe Magazine. He managed over 1200 million with a proprietary non-parametric quant model. SIAT member since 1996, Davide Bulgarelli was one of the first AIFINC (Italian Behavioural Finance Association) members. SIAT Master lecturer. Areas of interest: quant-technical analysis, behavioural and experimental finance, artificial intelligence. He was one of the first Italian pioneers in technical analysis applied to mutual funds, tool that he uses for over 30 years. He gave lessons on this matter at the Siena University. Collector of technical analysis books, Davide has got original copies of “The stock market barometer”, 1922 edition, and the “Down Theory”, 1929 edition.

Davide Capoti

Portfolio Manager and Head of Blockchain for Global Trading in Enel SpA. Ceo and Co-founder of Quant01, market's prediction AI startup. Cryptocurrency and blockchain supporter, he's involved in "Bitcoin space" from 2012. Co-Author of "bitcoin Revolution"- (Hoepli) Member of SIAT and IFTA, he is trainer for FinecoBank in main events. Double degree in Economics and Law from Bocconi.


Matteo Maggioni

Graduated in Economics of Institutions and Financial Markets at Catholic University of Milan, member of the IFTA and SIAT, Matteo is currently an institutional trader on commodity markets. He has also matured a specialization in derivative instruments on equity and bond indices, using only a quantitative approach. Since 2012 he deals with crypto currencies and blockchain, both as trader and trainer. Lecturer for FinecoBank SpA, one of the leading banks in Europe, and for the order of Engineers of Rome. He has held numerous conferences on trading in Italy and abroad, including Expo of Borsa Italiana, Salone del Risparmio, ITForum and Rotary Club. Author of various publications, including "Bitcoin Revolution", edited by Hoepli. He is a co-founder of Quant01, startup operates in the field of Artificial Intelligence, Cloudminingbiz and Coinbiz, startups operate n the field of crypto currencies.

   
ABSTRACT

A new asset for Traders and Investors: Cryptocurrencies R-Evolution

We are on the threshold of an epochal change that will involves main aspect of our life. Basically, we are shifting from a centenary old centralized system that has control on “data”, money and knowledge to a decentralized and distributed world based on blockchain and artificial intelligence. We are at the beginning of a new renaissance and the world as we know today will never been the same. Artificial intelligence will be the main drive to solve the human inefficiency to analyze situations and take smart decisions and blockchain will be the public ledger for everything that need to be certified and stored. Blockchain technology behind digital currencies has the potential to improve central banks’ payment and clearing operations, and possibly to serve as a platform from which central banks might launch their own digital currencies. On the other hand, artificial intelligence will allow people and company to optimize processes by making them faster, safer and smarter. The human component will inevitably be resized. This will also have a clear impact on the trading sector. It has long been about automated systems both to generate orders and to monitor the risks, but now more than ever, it is moving from theory to practice. In this conference, we will try to bring you in the future, talking about these concepts and also demonstrating how artificial intelligence can be used to build specific models of trade in the field of crypto currencies.

SPEAKER PROFILE

Tomoya Suzuki is a professor of computer science at Ibaraki University, Japan.
Tomoya won the John Brooks Memorial award for the best MFTA paper for 2016.
He received his B.S., M.S., and Ph.D. degrees in physics from the Tokyo University of Science in 2000, 2002, and 2005, respectively. Then, he joined Tokyo Denki University as an assistant in 2005 to teach electric circuits. From 2006 to 2009, he was a lecturer of Doshisha University, teaching computer languages and computer engineering. Since 2009, Dr. Suzuki has been an associate professor and then a professor of Ibaraki University, teaching mathematics, statistics, and computer science.
His research interest is the physics of complex systems, especially financial markets, and his research methods are time-series analysis, prediction, machine learning, and data mining with computers. In particular, his recent research involved the integration of technical analysis, physics, and computer science. Moreover, he also has a great interest in evidence-based technical analysis and has been giving seminars for Nippon Technical Analysts Association (NTAA) members on this topic.

   
ABSTRACT

Collective Artificial Intelligence for Mechanical Technical Analysis

Because technical analysis uses only historical price data, it has affinity with machine learning approach and is often called modern technical analysis or mechanical technical analysis. In general, machine learning method is categorized as an artificial intelligence (AI), which is really a hot topic in the world since Google's Al (AlphaGo) beat the world Go champion. Then, it has been called FinTech to apply Al for financial business intelligence. In his presentation, Professor Suzuki introduces some ideas to develop Al algorithms for technical analysis, such as collective intelligence and abnormally detection. The collective intelligence can enhance the predictive power by integrating many neural networks and can select the most reliable stock by following their consensus. Then, the autoencoder is a new neural network used for the deep neural network, and he applies it to the abnormally detection of noisy financial markets. To confirm the validity of these ideas, Professor Suzuki performs investment simulations and statistical significance tests with real stock price data. Some parts of his presentation are based on his MFTA's paper that won the John Brooks Memorial Award 2016.

SPEAKER PROFILE

Head of Research in QTLab in Switzerland, Luca Giusti is a trading system developer and a systematic trader. He started as a private trader on options in 2002, after a degree in Economics and the attendance of a PHD, in 2011 moved to Switzerland to provide proprietary research to institutions and individuals.
He is a member of the board and a member of the scientific committee of SIAT, founder of Optionforum, a contributor of MilanoFinanza newspaper, and the author of the book: "Trading Meccanico" (Hoepli), published in 2015.
He is one of the most appreciated financial trainers in Italy: since 2006 he has taught his techniques in a few hundred seminars to both retail traders and professionals, and he is one of the instructor in technical analysis courses in Italy organized by SIAT for the IFTA Certification. Luca has been invited as a speaker to several important financial events in Italy (ITForum, TOL EXPO of Borsa Italiana, Investing, Mente e Finanza), Switzerland and in Dubai.

   
ABSTRACT

The presentation will deal with the use of the technical analysis to define the levels where Luca is selling naked options, and how to manage the risk of these strategies with the adoption of specific trading systems on the underlying futures. These kind of strategies are widely adopted among small hedge funds, but what really makes the difference is how you decided to control the risk and how you are managing a portfolio of gamma negative options strategies. The focus is often on the single strategy, looking for the best receipt to define where to sell options and how to protect these contracts, but you can also manage risk most effectively on the portfolio of options strategies your trading. In his speech Luca will introduce the kind of options strategies he is trading, the reasons why he has chosen these specific markets, how he controls the risk of selling naked options, and, most important, the effect of different criteria adopted to build a portfolio. Luca will present concurrent portfolios of options strategies, built with traditional criteria (Markowitz, for example) and with rotational logic, analyzing if some kind of trade dependency is present, or using volatility to define where allocate the available capital.

SPEAKER PROFILE

Perry Kaufman is well-known as the author of Trading Systems and Method, and recently, A Guide to Developing a Successful Algorithmic Trading System, but he has spent his career as a financial engineer and the architect for trading systems used by institutions and funds, often partnering with those firms. Beginning as a “rocket scientist” in the aerospace industry, and then in military reconnaissance, he switched to trading in the early 1970s. His experience ranges from the agricultural markets to high-frequency trading, arbitrage, and FX Carry. He has successfully managed money through the U.S.-Russian wheat deal of 1973, 20% interest rates of 1980, the stock market crash of 1987, the internet bubble of 2000, and the subprime crisis of 2008. After eight years of intraday trading with a 3.0 Sharpe ratio, he sold his company to ED&F Man in 1998. More information can be found on his website, www.kaufmansignals.com.

   
ABSTRACT

There are countless ways to profit in the market, and Perry Kaufman will present two new methods that teach and reinforce basic investment principles. The first shows that trading selected Dow components can be more profitable than any of the broad indices. The selection method reinforces old notions of price persistence. Add to that a simple arbitrage which, combined with deleveraging, can noticeably reduce the risk, and you have a strategy that will appeal to a broad segment of investors. The second method takes a short-term pattern approach, applied to futures markets, which has a history of consistent profits but does not trade often enough to avoid boredom and low total returns. By combining other markets in a way that greatly increases returns while keeping the investment small, you have a trading method that will appeal to many investors not interested in high exposure to risk normally associated with futures markets.

SPEAKER PROFILE

Dan Valcu is the founder of Educofin Market Consultants, a service that provides statistical services related to financial markets. After a career as an Information Technology consultant covering banks, insurance, utilities, and the United Nations system, he switched to trading markets in the late 90’s.
Starting his research in the spring of 2003, he was the first author to bring from Japan and promote in the West the heikin-ashi technique both as a visual and quantifiable instrument in 2004. As a result, heikin-ashi has today a wide base of traders and investors and is a component of many technical trading platforms. He also authored two books on heikin-ashi and its applications in trading and investing. Dan was invited to hold speeches in Italy, Russia, and the Republic of Moldova.
Dan develops and advises on trading and investing strategies based on the heikin-ashi technique combined with other visual techniques.
His articles and studies have been published in Technical Analysis for Stocks & Commodities, Trader’s Magazine, and other periodicals in the technical analysis community.
Dan served on the Board of the International Federation of Technical Analysis for six years and holds the professional designation of a Certified Financial Technician. Besides the regular services, he offers training and educational services in technical analysis and risk management.

   
ABSTRACT

AI, ML, DL in Trading and Investing: The New Road That Lies Ahead.

The 4th Industrial Revolution has already started with a Big Bang. Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) are terms – often confusing – attached to a fashionable trend used to get (more) leverage in trading and investing. It is the next step morphing from the widely spread systematic trading/investing approach. Although in its infancy, this new way based on AI concepts and principles is already popular, promising results with the use of better and more complex algorithms. Being new, the approach has a strong flavor of marketing specially injected to attract interest and resources.
The presentation will focus on a number of techniques together with steps required to complete the process successfully. It will also highlight the (strong) noise that is an important issue for those intending to go down this path. Similar to the systematic trading, this new approach navigates through a mine field that may discourage those new to this business or generate false expectations. The presentation will try to separate marketing from facts, pointing to what may be valid and what may derail costly efforts.

14:15 – 14:45
Luigi Piva

Graduated in Statistics and Economics at the University of Bologna, has a Quantitative Finance degree at Fitch CQF in London. He wrote a book as an author "Effective Technical Analysis Applied to Trading Systems" and other books as a co-author. He has published several papers: "Multivariate time series analysis" and "Uncertain volatility in options pricing" for Fitch-CQF and several other volatility papers. Lifelong private trader, he has been involved in several trading championship winning the first place in 2011. He has been working in London since 2008 as an investment manager for: Equity Line Solutions Ltd, Seven Mills ltd and Quantlab Ltd, applying quantitative algorithmic automated trading models on futures and options.

   
ABSTRACT

Artificial Intelligence and Trading Systems

The speech will begin with the general explanation of what artificial intelligence and neural networks are, then it will switch to their application to financial markets, specifically derivatives: futures and options. In particular, you will see how one can start from the formulation of a classic forecasting econometric models, such as VAR and VEC used in multivariate time series analysis, to build the skeleton of the model. Subsequently, this can be improved by introducing new generation neural networks. This will improve the model forecasting performance by allowing it to overcome the problem of non-linearity that is typical and present in all financial time series.

SPEAKER PROFILE

Head of Research & Development in Gandalf Project, Giovanni Trombetta is an Electronic Engineer, a trading system developer and a quant trader. He has many years of programming experience with several languages and trading platforms and uses his knowledge in the field of genetic algorithms and neural networks to create automatic trading systems and financial models. In 2009 he has contributed to the drafting of the book "Visual Trader II: Implementing Winning Strategies" (Trading Library). In 2009 he developed “Gandalf” a data mining software to look for statistical inefficiencies on the historical prices of stocks, futures, currencies and ETFs. In 2012 he founded the “G.A.N.D.A.L.F.” project, within which he led the research and development team, specialized in the application of artificial intelligence to the world of quantitative finance. He is an appreciated trainer, an associate in S.I.A.T. (the italian branch of I.F.T.A.), speaker to several important financial events in Italy (Investment and Trading Forum, TOL EXPO of Borsa Italiana), cooperates in educational projects with banks, brokers and IT Companies.

   
ABSTRACT

Artificial Intelligence and Trading Systems.
Robustness and validation of genetic trading systems

Today modern Machine Learning approaches make it possible to sculpt extremely timely trading systems, reducing the development times and by identifying, with extreme accuracy, statistical inefficiencies to leverage on the different financial instruments. In particular genetic algorithms, borrowed from the Artificial Intelligence world, are particularly suitable for discovering hidden rules, not immediately evident with more traditional approaches. Delegating completely the Backtesting and Testing steps to the machine, hides a number of pitfalls. The overfitting of the series noise must be contained through a rigid and reliable operating protocol. The "traditional" trading systems and the "genetic" trading systems will be compared, giving particular emphasis to an innovative technique for validating genetic trading systems.

SPEAKER PROFILE

Alessandro Nilo is an investment professional with over 15 years of experience as a strategist and portfolio manager in Euromobiliare AM Global Wealth Advisory.
He is specialising in global-macro investments, cross asset research, tactical asset allocation as well as systematic/quantitative approaches to investing with experience of both G10 and EM worlds.
In addition to this, he is responsible for writing and producing high quality monthly, weekly and daily investment strategy documents on all asset classes (fx, commodities, fixed income, equity) intended for HNWI, asset manager and private bankers.
Thanks to his academic education, Alessandro holds advanced programming skills in VBA, Python, C# (.NET), Equilla and EasyLanguage. Among his everyday tools he makes extensive use of technical analysis to determine the stock selection, trading signals, asset allocation and global tactical investment positions.

   
ABSTRACT

Exploit the potential of technical analysis of macroeconomic trends

In over 160,000 academic publications contained in the Financial Economic Network (FEN) of SSRN eLibrary and among the numerous publications of the Institutional Investor Journals (IIJ), there are still no studies that have applied classic technical analysis indicators to the macroeconomic series. In this thesis we highlight the potential of various technical analysis methods (momentum, moving averages, breakout channels, deviation from trends) applied to the trends of the main US macroeconomic indicators (purchasing managers index, inflationary pressures, labor market data) and to their actual releases versus the economists’ expectations (positive / negative surprises), in order to obtain trading ideas and / or actively adjust a portfolio's tactical asset allocation (TAA) across an array of asset classes. With this research, which can be extended in multiple directions, we want to open up a new approach to innovative methods of applying technical and evidence-based analysis to economic data with the intention of taking the professional figure of the macro analyst to the next level. Moreover, digitalization has accelerated financial dynamics for which it needs every macro analyst to be equipped with new systematic approaches that make it possible to become more operational in the global markets.

SPEAKER PROFILE

Mohamed Ashraf is Chief Technical Analyst for CI-Capital; one of the largest financial institutions in Egypt that provides brokerage, asset management, investment banking and research services. He served as a board member and Vice President for the Middle East and Africa region in the International Federation of Technical Analysts (IFTA) from 2010 till 2016. He also served as a board member in the Egyptian Society of Technical Analysts (ESTA) from 2011 till 2015, and he is a key education committee member in (ESTA) since year 2007 till the current time. Mohamed’s main daily focus, analysis and reports are on Equity markets in the MENA region precisely and on the global markets generally. Periodically, he publishes TA reports on the commodity and forex markets that support his views and biasedness in Equity markets as alternative investments. Mohamed teaches Technical Analysis at many financial institutions and universities for more than 11 years; most notable places were the annual Egyptian Stock Market Conference in the international conference center hall, the Securities and Commodities Authority ESCA in Dubai, the Capital Market Authority in Sultanate of Oman, the American University in Cairo, the Egyptian Association of the Investment Management, Thomson Reuters in Egypt, the Faculty of Economics and Political Sciences and the Faculty of Commerce in Cairo and Ein Shams Universities. Mohamed was graduated from the faculty of Economics & Political Sciences, Cairo University. He is a Certified ESTA Technical Analyst CETA, a Certified Financial Technician CFTe and holds MFTA.

   
ABSTRACT

Points and Line chart: a new charting technique

Price charting is the most important concept in technical analysis. Almost all kinds of technical tools are extracted from the price action, and their purpose is to confirm the price chart and to show its hidden strength or weakness. The session will demonstrate how to draw a simple new charting technique that only uses points and a line. The chart has the merit of maximizing the benefits of the Point and Figure chart using its filtration criteria but at the same time will have the line chart advantages including a smoothed trend display, the use of closing price, price patterns, and trend lines. In addition, this new chart also adds volume and time (number of days) and allows for applying technical indicators, moving averages, and oscillators. There are other charts that tried to solve the Point and Figure drawbacks like Renko and the three line breaks but they still lack the volume, time, and trend smoothing through price changes over time (Nison, 1994). The Points and Line chart can also be applied on both the Renko and three line breaks charts.

SPEAKER PROFILE

Born in Milan, great-grandson of Dino Lora Totino, pioneer of cable cars and the Mont Blanc tunnel, Alessandro Palagi was passionate about technical matters from an early age.
He graduated in Economics and Business at the University of Pavia with an excellently received monetary economics thesis entitled "The Theory of Financial Instability in Hyman P. Minsky's Analysis" immediately combining the analysis of economic theory with the technical study of price movement in markets.
In 1992 before the Italian lira and the British pound left the ERM he began to operate on the foreign exchange forward markets and hedged the private portfolio he managed against the currencies’ loss of value. From that day on, he began a thorough study of markets and started to work for Sidauto s.p.a in management control and exchange rate risk.
Since 1995, he has been managing the portfolio of his family in equity, fixed income, commodities and currencies with derivative instruments and various types of trading.
Working together with well known international traders he monitors financial markets with constant updating techniques and operating tools. He has been a customer of TradeStation since 1996, CQG since 2000 and he has expertise in using many CQG Third-Party-Studies and various Technical Analysis software.
Starting with the participation at the Futures Symposium International in Milan and Las Vegas from 1996-98, he attended the IFTA Annual Conference 2006 in Lugano and many seminars around the world in the USA, UK, France and the Netherlands. He was a seminar lecturer for Advanced GET, SIAT, CQG and he is a Professional Member of SIAT, the Italian Technical Analysis Society.

   
ABSTRACT

Inertial Artificial Intelligence.
IAI System and the 4As (Advanced Adaptive Acceleration Algorithm)

The purpose of the speech is to describe an automatic procedure to identify how, in a few seconds, to select the best trade location in a rigorous mechanical management steps sequence, allowing traders to select trades with the lowest adverse excursion probability. “Market inertia” is the cornerstone of this automatic procedure, the result of a 20 year-year-old, multi spectrum, multidisciplinary quest. The concrete outcome is an algorithm that understands market behaviors in a completely mechanical way. The core of the IAI system is designed to stress concavity and convexity of oscillators curves structure, so as to focus on critical market points and to extract priority levels of inertial inflections as market set ups. The management dynamic engine is the synchronization between algorithm and market curves. If we connect these “inertial” set ups to triggers, in an objective information flowchart, without any reliance on myth or magic, traders can get the maximum result with minimal efforts. Over time Alessandro has selected and tested many different trading techniques, and in his view the old saying “trend is our friend” is now definitely outdated. The new mantra for the professional trader in the following decades will be: "inertia is your friend"!

SPEAKER PROFILE
Eric Guerci

Eric Guerci is Associate Professor of Economics at Université Côte d’Azur, France.
After receiving Ph.D. in Computer Science from the University of Genoa working in the field of financial engineering, he has obtained a Marie-Curie Fellowship to spend two years at Aix-Marseille Université (France) before joining Université Côte d’Azur.
His current research interests are in the field of behavioural and computational economics and finance.
His research has been published in such leading international journals as Journal of Economic Dynamics and Control, Social Choice and Welfare and Theory and Decision.



Nobuyuki Hanaki

Nobuyuki Hanaki is a professor of economics at Université Côte d’Azur, France.
After receiving Ph.D. in economics from Columbia University, he has taught at University of Tsukuba (Japan) and Aix-Marseille Université (France) before joining Université Côte d’Azur.
His research has been published in such leading international journals as Economic Journal, Management Science, and American Economic Review.

   
ABSTRACT

What makes a good trader

Experimental finance is an emerging fields of academic research that analyze data collected under controlled experimental setting and try to provide new quantitative insights to questions related to the field of finance. This approach takes paradoxes and biases in human judgment and decision making that have been demonstrated in the field of experimental economics and psychology. In recent years, there has been an increasing interest in involving professionals directly in these experiments. The aim is to reduce progressively the gap between stylized modelling or experimentation towards a contextually rich experimental scenario. This talk will focus mainly on this body of literature, highlighting recent findings. These are fresh ideas for practitioners to stimulate reflection about or even understand weaknesses or opportunities in their professional life.

SPEAKER PROFILE

Dato’ Dr. Nazri Khan is an Economic degree graduate of the University of Manchester, a licensed technical analyst with international experience, conducting over 1000 investment functions in Malaysia and overseas over the last 20 years. He is currently the Head of Retail Research in Affin Hwang Investment Bank Malaysia. He was the Founder, the Chairman and the Fellow of Malaysian Association Of Technical Analyst. Prior to Affin, he was the Head of Research in MIMB Investment Bank as well as Economic Fellow of Malaysian Trade of Chamber Commerce. He is widely followed in the social media and has been a weekly stock market and chartist commentator in Bloomberg and CNBC. His prime favourite trading territories are Robo Advisor and Copy Trading using social trading websites such as EToro & ZuluTrade. Finally, he was voted as the most influential market analyst and Top Opinion Leader by Bursa Malaysia stock exchange for the year 2015 and 2016.

   
ABSTRACT

Latest Megatrend in trading world : Fintech Innovation, Robo-Advisors, Bitcoin, Blockchain, Binary Option, Social Trade Gamification and Copy Trading. Impacts & implications on chartists by 2030

The technology likely to have the greatest impact on the future of the trading world has arrived, and it’s not self-driving cars, solar energy, or artificial intelligence. It is social trading, artificial intelligence and digital economies. By 2030, everybody can be successful trader with zero knowledge of the market through social media and fintech innovation. The role of traditional chartist will be greatly affected. As the internet has essentially transformed how people around the world interact and has permanently impacted our lives in ways we never could have imagined, several megatrends have appeared to fundamentally change our approach to solving social, political, and economic problems. This slot will examine the rise of digital economy and financial technology growing impact on the global trading industry. Traders and chartist are standing at the epicenter of this tectonic mega trend, as the balance of power between human traders, robots and copy traders undergoes a dramatic upheaval. This slot will presents analysis into what will happen when millennial trading behaviour collide with social transformation. Business models are changing in profound ways, and the impact reaches further than many expect; the democratization of trading is revolutionizing the investment industry, and keeping pace with these changes has become a survival skill for chartist around the world. These questions will be answered : How are megatrends reshaping the trading world and investment industry? How did technology companies — Amazon, Google, Apple, Facebook and others — disrupt the traditional investment industry? What are Fintech Innovation, Robo-Advisors, Bit Coin, Block Chain, Binary Option, Social Trade and Copy Trading ? How are the rules of the game changing? What is fun-tech and trading gamification ? Traders in 2030 looks quite different. How so? How will this affect the chartist world ? What can chartist do to reposition themselves for the future? Are established players in the investment industry doing this? How do chartist make a Fortune in this new mega trends ? What kind of new trading opportunities might emerge in the new digital economies ? What kind of career skills might be attractive to the chartist under that scenario? How do chartist exploit what we are really good at today? And how do chartist need to evolve it? What professionals chartist need to prepare for the next 20 years?