The Italian Society of Technical Analysis (SIAT) is delighted to be hosting the 2017 International Federation of Technical Analysts’ Conference in Milan. Considering a Brazilian Butt Lift? As the most experienced butt lift surgeon in Arkansas, Dr. Spann can to get you in the shape you deserve. ![]() IFTA 2. 01. 7 - Sailing to the Future - hosted by SIATSPEAKER PROFILESJohn 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 1. 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 Mc. Graw- Hill in 2. 00. His website www. Bollinger. Bands. 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. Bollinger. Bands. Bollinger. Bands. Italian and US equity markets. Chart Pattern Recognition Software Tradestation Client ServiceJohn Bollinger graduated from the School of Visual Arts majoring in cinematography and started studying the market shortly thereafter. After purchasing his first microcomputer in 1. ![]() Notice: Although this Canadian online stock brokerage review/comparison is dated back to Dec 2006, the information below is updated regularly. Are stock tr. We would like to show you a description here but the site won’t allow us. 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 1. Lifetime Award for Outstanding Achievement in Technical Analysis, the Market Technicians Association 2. Annual Award for Outstanding Contribution to the Field of Technical Analysis, and the International Federation of Technical Analysts (IFTA) Lifetime Achievement Award in 2. Kathrin Kaminski. Kathryn M. Kaminski, Ph. Chart Pattern Recognition Software Tradestation Client FeeD 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 2. 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 2. 01. 5, Kathryn was listed as one of the top 5. Kathryn holds a BS in electrical engineering from MIT and a Ph. D 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 1. 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 1. After eight years of intraday trading with a 3. Sharpe ratio, he sold his company to ED& F Man in 1. More information can be found on his website, www. 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 2. United Kingdom and Italy. Prior to joining Caxton in April 2. Mr. Ronco worked for ADB Sim, Credit Agricole Indosuez, Banca Intesa, Banca Anton. Veneta (Monte. Paschi 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 2. MTA Annual Symposium in New York, at the 2. IFTA presentation in Beijing and at the 1. 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 9. 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 2. 00. 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. Phasing Out Brokerage Integrations. Designing a trading strategy will most probably be a variation on a theme of something that is already out there. In the sense that it will most probably perform at about the same level. In a way saying: F(t) = F(0) + Σ(H.*ΔP) → F(0)∙(1 + r_m)^t. That is, your trading strategy H, performance wise, will tend to about market average over the long term. It is the most expected outcome. Look at all the professionals, what you see is that most don't even outperform the averages. Yet, everyone persists in doing the same things they do, hoping to have better results. We simply have to do better. If we want more, we will have to do more. Just look at Vanguard if you need some kind of confirmation. It now exceeds: F(0) = $3. T under management with no foreseeable alpha generation. That is a lot of people accepting the no alpha to be had scenario. What we should want is: F(t) = F(0) + Σ(H.*ΔP) ≥ F(0)∙(1 + r_m + α)^t which is a much harder problem to solve. Especially, if we want our CAGR and our alpha to last. We are the ones able to generate this alpha. It comes from our skills at finding new, or perfecting existing, trading procedures. It is our ability to mine and extract those alpha points that will prevail. But, to be worthwhile, they need to persist for the duration, over the long haul. Winning a six- month contest is insignificant if the alpha can not be maintained. It is why we do all those tests in the first place. We want to find it, make sure it is really there, and then get all the probabilistic assurances that our set of trading procedures will prevail going forward. Because that is where we will have to play. Where we need to select an unpredictable path (our trading strategy) among gazillions of other possibilities. And, we simply want to win the game for ourselves and/or for others, no matter what. I find operating a small portfolio a total waste of time, talent, and resources. Sure, you will make some money. From all the skills I have seen in this forum, I have no doubt about that. But the question is: is it really worth it when we could consider another dimension that could produce a lot more. Here is the same chart as in my last post with smaller stakes while maintaining its 3. Smaller Stakes. In terms of global wealth creation, compared to the previous chart, I would have to classify it as peanuts, at every level. All these could do is help a few individuals that can generate the alpha and have the highest initial capital. Nonetheless, there is no real grand scale benefit, no societal impact to have 2. Whereas, your talents could be funneled to help the majority and bring you even more than what you could have done by yourselves. For me, playing small is like seeing so much talent going to waste. Whatever trading strategy we might design showing some sustainable alpha deserves a lot more than being limited by lack of capital. Please, find ways to remedy that. Find added capital, push the envelop. If your alpha generating trading strategy is not suited for any Quantopian contest, it does not really matter. We can have our trading strategies work for any organization(s). Or, we could use our other talents to work, and build our own. My advice is: don't sell yourself short. You are all worth a lot more than that. I would even yell: Quantopian Traders Unite. We have a considerable advantage over most. We can program these things. We can understand what the others are doing. Even, might find some justification for using some of those code snippets in our own programs. You know who are the best in this forum, trust, or find compatible with your own views of the markets. Then, support them or let them support you. What you should be negotiating is this long term alpha. If you have it, others should pay you for its use. It is your intellectual property. If others have it better than you, be ready to support them and get the higher alpha. In the end, it is what will really matter: how many alpha points could you get? It is also what Quantopian is seeking. Already, Vanguard can give you market average (r_m) at low cost. We need better than that, we deserve better than that. The important part might not be the language, the platform or the trading environment. It is the strategy itself, and that is you and your trading skills. Anyone can show performance snapshots of their trading strategies, provide Alphalens or Pyfilo analysis without revealing their underlying code. Support the best developers you can find in these forums. Find some common grounds, grow together, grow faster. Promote your strategy. Do more. And note that any successful trading strategy can be ported to any other programming language. All that you program is about big money, not as in the chart above, but as in the chart in the previous post.
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