[Previous] Neural Networks Learn Forex Trading Strategies...

 [Next] Zero Hedge: JPM's Carl Carrie On Algorithmic Trading...

Some related posts from Technorati and Google.

[MetaTrader 4: Forum] Too good to be true? / Forum: Forex Trading with MetaTrader 4: I just created a simple neural network based custom indicator and advisor, and it shows astronomical profits for EUR/USD for H1 and M30 periods in the strategy tester. Can you guys try it out and tell me what you think?

[Overcoming Bias] Less Wrong: Permitted Possibilities, & Locality: Even if we're talking about uploads, it will be immensely more difficult to apply any of the algorithmic insights that are tradeable between AIs, to the undocumented human brain, that is a huge mass of spaghetti code, that was never designed to be upgraded, that is not end-user-modifiable, that is not hot-swappable, that is written for a completely different architecture than what runs efficiently on modern processors...

[Daily Speculations] A Simple Knot, from Jim Sogi : Daily Speculations: He is careful to distinguish that the term neural networks is not an attempt to recreate a human brain in the box. Rather it is the process of creating statistical models to recognize and rate pattern recognition algorithms in terms of the their predictive power outside the learning set.

[AI Topics / AI Videos | Site / AllRecentChanges] AITopics / Applications: The number of patents in AI, expert systems, and neural networks jumped from fewer than 20 in 1988 to more than 120 in 1996, and the number of patents citing patents in these areas grew from about 140 to almost 800 [fn]. The number of AI-related patents (including patents in AI, expert systems, neural networks, intelligent systems, adaptive agents, and adaptive systems) issued annually in the United States increased exponentially from approximately 100 in 1985 to more than 900 in 1996 (see Figure 9.1).

[Overcoming Bias] Overcoming Bias : Shared AI Wins: The barrier this opposes to a true, cross-agent, literal "economy of mind", is so strong, that in the vast majority of AI applications you set out to write today, you will not bother to import any standardized preprocessed cognitive content. It will be easier for your AI application to start with some standard examples - databases of that sort of thing do exist, in some fields anyway - and redo all the cognitive work of learning on its own.

[Mises Economics Blog] When and Why the Credit Crisis Began - Mises Economics Blog: These methods don't care what the distribution is. Support vector machines, decision trees, neural networks and several other techniques that combine traditional statistics with iterative search algorithms can run circles around traditional statistical methods and almost always outperform them in forecasting.

[Linuxser FX] Linuxser FX: Forex TSD Market Place: ————–Top 5 Stories in FX This Week—————- Mr. Black Swan Goes to Washington Look Who’s Getting the Goodies Once Again, Tim Geithner Gets It Exactly Wrong A .

[The Oil Drum - Discussions about Energy and Our Future] The Oil Drum: Europe | The Spike and the Peak: My intuition (gut feeling - the gut is essentially a "second brain" in terms of the density of nerves, and who can prove that nerves are all that is involved in the production of intelligence anyway???) is that AI seeks to create systems that contain only certain aspects of intelligence, but that biological intelligence is an emergent property of the whole system. DATA or Spock from startrek are unlikely to ever arise because the systems that give rise to emotions, wants and needs are all precursors to biological intelligence (again: the only model we have to go on...)

[Shtetl-Optimized] Shtetl-Optimized » Blog Archive » The Singularity Is Far: The second reason is that as a goal recedes to infinity, the probability increases that as we approach it, we’ll discover some completely unanticipated reason why it wasn’t the right goal anyway.  You might ask: what is it that we could possibly learn about neuroscience, biology, or physics, that would make us slap our foreheads and realize that uploading our brains to computers was a harebrained idea from the start, reflecting little more than early-21st-century prejudice?  Unlike (say) Searle or Penrose, I don’t pretend to know.  But I do think that the “argument from absence of counterarguments” loses more and more force, the further into the future we’re talking about.  (One can, of course, say the same about quantum computers, which is one reason why I’ve never taken the possibility of building them as a given.)  Is there any example of a prognostication about the 21st century written before 1950, most of which doesn’t now seem quaint?

[Paul Krugman] Forgotten snark - Paul Krugman Blog - NYTimes.com: While getting my degree at the Sloan School at MIT in the mid ’70s we received our basic economics training from Sidney Alexander, a cranky, very smart gentleman, who constantly explained to us that “it was all a seamless web.” In order words actions in one part of the global economy (like in a village in Tanzania) had an impact, however small everywhere else, (including Williams street in New York.)

[TheDayTraderSite.com] Day Trading: The Perfect New Hobby For Internet Poker Players: Genetic and Neural Applications - They utilize neural networks and genetic algorithms in order to perfect trading systems to make more accurate predictions of the future price movements. Broker Integration - Some of these tools are .

[AI and Social Science - Brendan O'Connor] Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS ...: SAS is the primary statistical analysis tool in these companies partly due to history (S, the precursor to S+ and R, was not yet developed) and partly because it can run on mainframes (another legacy system) accessing huge amounts of data stored on tapes, which I am not sure any other statistical package can. Furthermore, business who have the $ will be the last to embrace open source software like R, as they generally require quick support when they get stuck trying to solve a business problem, and researching the problem in a language like R is generally not an option in a business setting.

[dykestowatchoutfor.com] dykestowatchoutfor.com » Blog Archive » Sketch Diary 12/26 ...: I'm so white one can view my entire neural network running just underneath my skin. I wonder if I could get some weird job at a medical school as a study aid. No dissection necessary! Thanks, Duncan, for a great label for those of us who are ...... Hear, hear to all the AMAZING class comments. I think about this topic all the time and yet every single one of you said stuff that I'd not directly considered before. Likewise, I had begun to suspect this blog was attracting ...

[Charlie's Diary] Charlie's Diary: The High Frontier, Redux: Stross@0: I agree these and more are all magic wands: The AI singularity, mind uploading, starwisps, post-shortage economies, flying cars, humanoid robots, interstellar travel, wormholes, teleportation, the death of religion, AI human language parsers, fusion, communism, space elevators, bioengineering humanity 2.0, food pills, antigravity, reasonable environmental policies, end to war/famine/pestilence/taxation .Some might happen, but all are very unlikely within our lifetimes, and many are unlikely ever.

[Linuxser FX] Linuxser FX: New version of Gmail soon available in 37 languages: ————–Top 5 Stories in FX This Week—————- Mr. Black Swan Goes to Washington Look Who’s Getting the Goodies Once Again, Tim Geithner Gets It Exactly Wrong A .

Reflected tags on Technorati: Blog, Neural Networks Trading, Automated Trading Profit