Tag Archives: Game

#Online #Video #Game No more than half the #Market

No more than half the

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#Online #Video #Game No more than half the #Market

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Video #Game Stock or selling off

Video Stock or selling off

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Video #Game Stock or selling off

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SciChart v2 for mobile is a real game changer

SciChart v2 for mobile is a real game changer
I just saw the preview videos of SciChart v2. This is a definite game changer. It will be out shortly but the IOS Swift/ObjectiveC/Xamarin options look pretty incredible in terms of speed, crispness, and performance. I am hoping to get my hands on these demos to show the future of trading platforms on your mobile device.

The future just got much more exciting!

https://www.scichart.com/

 

If you want to see the code, we’re publishing already v2 to Github (Examples source) and Cocoapods (binaries)
This is considered BETA
Instructions to clone the repo and run are in the readme.md.
CD to that directory and do a pod install. It will create a workspace file
Next open it in Xcode. Change the scheme to SciChartSwiftDemo and build and go!

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Bloomberg game to make you a better trader

Bloomberg game to make you a better trader

It all comes down to your math skills

https://www.traderbrainexercise.com/

http://www.businessinsider.com/bloomberg-tradebook-launches-trader-brain-exercise-based-on-brain-research-2016-6

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Best machine learning with evolutionary learning with Super Mario game

Best machine learning with evolutionary learning with Super Mario game

Can this be applied to automated trading? This has to be the best application of MI/AI I have seen

I would like to thank some one new who ha pointed these to me

http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf

The LUA source code could be embedded into something like NOSQL Redis. Tada?

pastebin.com/ZZmSNaHX

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Why C++ popular for game and HFT development?

Why C++ popular for game and HFT development?

These same reasons can be applied to high frequency trading:

For example, we might have layers such as rendering, physics, AI, gameplay, high level scripting, and the backend (which itself could be composed of one or several languages).

When people say “C++ is the best language for games”, they’re almost always either one of two things:

  1. Speaking specifically about low-level engine code like the rendering and physics subsystems.
  2. Naive and parroting what someone else has told them.

Low level systems are usually written in C++ because there simply aren’t a lot of alternatives, and of the few that exist C++ strikes a good balance between high performance and ease of use (when compared to, say, assembly language).  The languages mentioned in the question details — Python, Java, and C# — are all high level languages that attempt to abstract away concepts like graphics hardware and memory management.  But these ideas are critical in systems like physics simulation that need to be called constantly with a lot of complex calculations and calls to specialized hardware.

https://www.quora.com/Why-is-C%2B%2B-so-popular-in-game-programming

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Want to know PROFITABLE and SECRETIVE fundamentals of trading to keep you in the game for the rest of your life?

Who wants to know what the basic PROFITABLE and so-called SECRETIVE fundamentals of trading to keep you in the game for the rest of your life?

As said, I am learning online courses right now for the basic fundamental framework . Who want to know what they are? Comment away.

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Crazy! A Super Mario Bros Demo Game developed all in MATLAB. Get the source code NOW!

Crazy! A Super Mario Bros Demo Game developed all in MATLAB. Get the source code NOW!

 

I have seen strange stuff but this is impressive. Imagine if Mathworks created an interesting way to deploy to mobile platforms? 

http://www.mathworks.com/matlabcentral/fileexchange/40961-super-mario-bros-demo?s_eid=PSM_7195

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Imagine even GOOGLE in in the HFT GAME ,read this old article 2010 ! Google’s state-of-the-art trading floor

Imagine even GOOGLE in in the HFT GAME ,read this old article 2010 ! Google’s state-of-the-art trading floor

Sent from somewhere but not me?

 

Google’s state-of-the-art trading floor

by Karma on September 9, 2010

The search company has now started its own trading floor, to manage their internal cash reserve of around $26.5 billion. Google currently has the 3rd largest cash reserves of any company, after Microsoft and Cisco.

The trading floor at Google opened up in January this year. The investment team has more than 30 members, with head Callinicos, who has been with Google since 2007, when he left Microsoft. Since then Google’s cash reserves have steadily risen from $11 billion to the present level. The trading floor is located in the company head quarters itself. Many of the new arrivals are former Wall Streeters who left lucrative careers at Goldman Sachs (GS), JPMorgan Chase (JPM), and other banks.

Brent Callinicos has made good use of the software engineers available at Google to build special software through which their complex operations can be monitored and easily accessed. This software allows them to monitor 98% of their holdings in real-time, while most institutions can monitor only 60 to 70% of their positions in real-time.

Callinicos has now decided to go in for a high risk, high return style of investment. The corporate debt securities have gone up from $695 million a year ago to $4.9 billion on March 31. Agency residential mortgage backed securities have also risen from $60 million to $3.3 billion in the same period.

So what’s so special about this old news?

Google has the power and capability to predict investor’s behavior. Google can predict flu-like illnesses within 92% accuracy of CDC data which is derived from laboratory testing http://pagingdrgupta.blogs.cnn.com/2010/05/18/how-accurate-is-google-flu-trends/. Google has the capacity to monitor search behavior of it’s users, which has everyone on their list. They can have enough data point to estimate whether the market is over-priced or under-priced based on the user’s searches.

It’s taken the World Wide Web by storm. It’s mapped out every streetcorner in America.  It’s even been named one of the most powerful brands in the world – repeatedly.

Google has added to it’s capacity by investing in a startup company that claims it can predict the future. The Google Ventures portfolio says the company, Recorded Future, “offers customers new ways to analyze the past, present and the predicted future.” On its site, the Massachusetts-based Recorded Future says the process works by using data analysis to look at the popularity of people or things in the news and on the Internet. By analyzing trends of past behavior, they then try to predict future actions.

“In computing the momentum value, we take into account the volume of news around an entity or event, as well as what sources it is mentioned in, what other events and entities it is mentioned together with, and several other factors,” one blog on the Recorded Future site reads. This momentum value can then “be analyzed using statistical methods to predict possible future changes in momentum.

Sources: Articles from Bloomberg Businessweek.

 

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Quant opinion: Trading as Game (Man against Machine)

Quant opinion: Trading as Game (Man against Machine)

Ever played this PS3 game Call of Duty or any other first person shooter against kids 13 to 18 year old? they will kick your ass.

They are very accurate and behave in certain patterns that gives them an edge in aiming, walking sprinting hiding crawling, choice of primary and secondary weapon, weapon add-on, … even though the game is very complex in terms of inputs and expected outputs, more complex than looking at price action as a single dimensional brownian motion.

They have a game plan, very similar to trading systems we develop, they move from game to game and adapt in few days through trial and error until the game inputs and outputs are mapped in their minds and they can choose the optimum decisions that make them win.

If we convert price action, equity and risk into a visual game challenges, then introduce such challenges into current games out there, so the challenge will be dependent on a live price stream, I bet if we record the professional winning players actions that they can beat any algo trading the same asset in the same time period.

Then add the collective decisions of thousands of professional players, I bet the average result will outperform quants.

Human have been able to create amazing things using their five senses, cultural traditions attach an action of festivity to any occasion in order to involve all senses, because we feel most that way.

But in trading the whole thing is a matter of numbers, and we are very bad about calculating complex probabilities using our brains, so we invented mathematics so we can write it down and reuse variables, so we created equations. Computers helped speed things up especially analysing large amounts of data in short periods of time.

Yet no matter how sophisticated your quant may think they are, their outcome is pretty linear if we compare it with what humans deal with on a daily basis from situations of complex probabilities like driving a car and making a cup of coffee, those actions seem simple to us but the fact is that our daily life is way too complex, yet we are too advanced and accurate when we are allowed to use all senses.

If price data is translated properly into an engaging visual game challenge like what the makers of COD did, those kids will take your money and call you a Noob!

You probably can learn from the trading patterns generated by advance players in response to price action.

Experimental finance.

http://www.urbandictionary.com/define.php?term=noob

 

==

 

Great insight into crowdsourcing. They’re already doing this with protein foldinghttp://fold.it/portal/ (abet proteins are much easier to represent visually). I think what you’re trying to find is a bijection function which makes the finance IO data more palatable to humans. There’s research along the same lines in encoding problems chemically to have bacterial evolution solve them but the hurdles for any practical application is far off.

 

==

Developers for the last 10 years have created so many interactive visual engines like ATARI, Nintendo, XBox, PS3 and PSP and endless number of amazingly engaging games from strategy from Age of Ampires to Call of Duty and Battlefield, but the finance world is stuck with OHLC charts and all types of Moving Averages, the learning curve to feel probabilities from such rough indicators is steep and requires years of observation, which is why personally I can’t sit on my PC and trade, just like 90%+ of humans I am lousy at calculating in my mind.

The application of price movement to game console is doable, of course it may not replace research but such application are way superior to charts and other visual indicators.

Maybe it is time to convert market to game and give the masses of loser daytraders a chance, but thinking again, maybe I don’t want those vicious focused 15 year old mother ******* on the other side of my trades, few weeks ago I was leaving work and I played COD at the cafe near my house, I couldn’t even get a 12 kill streak, other than the feeling of being a grown man wearing a tie playing game.

Anyway I revert back to the forex market maker story, those guys take almost all the other side of client trades in a zero sum, their only sort of risk management is hedging against large client positions few times a year, their clients do all the trading and eventually lose to them. This is amazing because if you look at all the trading happening from the market maker point of view, this is a real trading system just like any other we discuss here, only it is built on patterns of human psychology which makes us bad traders, the owners of such forex shops know very well how clients lose, but they have no idea why, yet they have been making 80%+ for years, their books are almost completely hidden from the finance world due to their loose regulations and bad rep.

 

==

I have had a thorough insider look into two of them, when we analysed client trades we found that it is not simply a matter of inverting losing positions into profitable ones, the pattern we saw was very similar to trades generated by trend following systems, clients make money in sideways and lose it all and more in trends, therefore market maker lose money in sideways and make it all back in trends.

Other characteristic is that clients account naturally vary, majority are between $1000 to $15,000 and lesser with larger sums, clients with $1000 trade smaller timeframes than clients with $100,000, this is all happening naturally, now look at this from the market maker point of view, you can see clearly that trading is happening at deferent time frames at the same time as traders use hourly charts while others use daily charts of the same security. This is diversification accross time frames, just like in trading systems.

Just to differentiate between forex market maker and exchange market maker, a lot of fx market makers are not even connected to any exchange, they only have price feeds that pour into MT4 servers with virtual accounts for clients, client money is in another bank, they are licensed usually from DFSA or FSA(UK), or some shady american license but operate elsewhere as a call center.

More facts, those guys have no idea about technical analysis, nor they care about fundementals, they lowered their spreads to a fixed 2 pips and removed swaps for Islamic accounts, they give their brokers pip rebate on each trade and liquidation fee when clients lose, that means they enter on a loss at the start of each trade, but they don’t care because their main source of income is liquidation.

The price they are trading against is the same price we all trade against for GOLD, EUR/USD, … so this is exactly outright trading. catch my drift?

If you know anyone working as a dealer for such forex shop, ask them.

I personally have no objection in using unorthodox means to pull money out the market and no moral issues within the limits allowed by law.

 

==

Try this Jumping Monkey game, maybe a game needs to be more creative to translate price movement in the background, but you get a feel how you respond to the monkey more than a chart.

http://www.funnygames.co.uk/jumping-monkey.htm

 

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