Category Archives: Hedge Fund

How Renaissance beat trading the markets with Machine Learning

I just wanted to do a potential banter for those who watch or are admired by all things Jim Simons and RenTech with their machine learning techniques.

Check out my video here or watch below

NEW LIVE ALGO TRADING WORKSHOP?

Would you be interested in an online learning LIVE workshop that will show MotiveWave live trading and Python trading bots. This will cover both forex and crypto asset classes. It will be an expansion of the DVD I have put out:

dvd

Please let me know as soon as possible because I want to launch it live as soon as possible. I will also include weekly live chat sessions to ask me all the questions you want as well as part of the learning.

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How Renaissance beat the markets with Machine Learning

I just wanted to do a potential banter for those who watch or are admired by all things Jim Simons and RenTech with their machine learning techniques.

. Get some free trading tech books https://quantlabs.net/book/

Are you wanting to learn algo trading? Try this 3 hour course https://quantlabs.net/dvd/

dvd

https://towardsdatascience.com/how-renaissance-beat-the-markets-with-machine-learning-606b17577797

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Secrets of the Greatest Hedge Fund of All Time: Jim SImons

A few weeks ago, it seems that we saw quite a few articles with Jim Simons of Rennaissance Technologies. Here is a recent interview with author of the biography put. Here is some highlights from the video:

Josh here – we had Greg Zuckerman of the Wall Street Journal up at the Compound to talk about his new book, The Man Who Solved the Market – the first ever deep dive into Jim Simons and his legendary firm Renaissance Technology. Renaissance has pulled over $100 billion in trading profits out of the markets since its founding decades ago, in a highly secretive approach that combines mathematical equations with cutting edge technology.

Zuckerman conducted over 400 interviews with current and former employees of the firm and even spent a few days with Simons himself – despite the fact that he didn’t want this story told or the book written.

Check it out here.

Thanks Bryan

P.S. Don’t forget the big 25% sale of MotiveWave starts Dec 26 until Jan 1.

http://www.motivewave.com/?af=5784986741374976&c=QL

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Secrets of the Greatest Hedge Fund of All Time started by Jim Simons

My questions is why would Jim Simons talk to a Wall Street Journal reporter for so long? Then he begs him not to a book. I don’t get it. Can some one explain this?

Here is the video response:

…we had Greg Zuckerman of the Wall Street Journal up at the Compound to talk about his new book, The Man Who Solved the Market – the first ever deep dive into Jim Simons and his legendary firm Renaissance Technology. Renaissance has pulled over $100 billion in trading profits out of the markets since its founding decades ago, in a highly secretive approach that combines mathematical equations with cutting edge technology. Zuckerman conducted over 400 interviews with current and former employees of the firm and even spent a few days with Simons himself – despite the fact that he didn’t want this story told or the book written….

See the video here

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TODAY IS THE LAST DAY!

If you want the want extra 2 months ($200) for a 3 month subscription, today is the last chance to get it! I will going back to the normal pricing tomorrow. Get the 3 month subscription:

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NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Math Whiz Trades Without Humans to Make $700 Million Fortune

Another mathematician gone trader success story. This ones involves who built a net worth to $700 in short order. The firm is called XTX out of London with math and programming whizzes who do market making. The other usual story is they have quadrupled in size since 2015. See the article here.

https://www.bloomberg.com/news/articles/2019-12-05/math-whiz-trades-without-humans-to-build-a-700-million-fortune

Also, I am hoping to get new Quant Analytics launched this week with partial signals working from MotiveWave. This will include live trading with forex and crypto starting in a few days. This is crucial to start rebuilding a track record with this new platform I have introduced to you all in the last few weeks.

You better jump on the initial Quant Analytics now before the price jumps up in coming weeks. I might even start promoting later in the week as well.

I will also be doing a webinar tomorrow at 12 PM Eastern Daylight Time. The topic will the latest discoveries with MotiveWave Round 2.

This was inspired from this video of last week which is listed below.

Here are the login details for tomorrow:

Bryan Downing is inviting you to a scheduled Zoom meeting.

Topic: Latest discoveries with MotiveWave II

Time: Dec 9, 2019 12:00 PM Eastern Time (US and Canada)

Join Zoom Meeting

https://zoom.us/j/998605736?pwd=TWpXV1ViWkJYVjZnM2RYTk9SbnUyZz09

Meeting ID: 998 605 736

Password: 761994

One tap mobile

+16465588656,,998605736# US (New York)

+16699006833,,998605736# US (San Jose)

Dial by your location

        +1 646 558 8656 US (New York)

        +1 669 900 6833 US (San Jose)

Meeting ID: 998 605 736

Find your local number: https://zoom.us/u/ac8lNIa1ua

Thanks Bryan

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Scan with multiple indicators for optimal performing trading instruments

I show how to save timie in coding where you can combine multiple indicators for instant analytics of optimal performing instruments

If you like these topics, join to get some tech trading advice
https://quantlabs.net/book/

Get the ELITE now for 2 year term with Analytics. After Cyber Monday, this will be 1 year with no Analytics!

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Rise and Revolt at Renaissance Technologies and Jim Simons plus Black Friday sale

Rise and Revolt at Renaissance Technologies and Jim Simons

(Last Updated On: November 26, 2019)

Here is a Podcast episode from the Wall St Journal. This about the early days of Renaissance Technologies and early days of Jim SImons.

the latest book about Jim Simons.

Black Friday sale is on

Motivewave the trading platform is having its 30% off sale.

MOTIVE WAVE SALE

Also remember that my quant elite Membership term becomes annual after cyber Monday. I will also be removing the Analytics feature as well

Quant ELITE Service

Thanks Bryan

P.S. The advanced progress with MotiveWave is amazing. I will send out more info for those interested in this amazing trading platform

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Rise and Revolt at Renaissance Technologies and Jim Simons

Here is a Podcast episode from the Wall St Journal. This about the early days of Renaissance Technologies and early days of Jim SImons.

the latest book about Jim Simons.

https://www.wsj.com/podcasts/the-journal

Thanks to the person who sent this to me.

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Ray Dalio Predicts The Next Big Market Crash

A little while ago, Ray Dalio said the world was mad. He also goes into further detail in this video

About: Raymond Dalio is an American billionaire investor, hedge fund manager, and philanthropist. Dalio is the founder, Co-Chairman and Co-Chief Investment Officer of investment firm Bridgewater Associates, one of the world’s largest hedge funds. Bloomberg ranked him as the world’s 58th wealthiest person in June 2019.

 Click here for the Ray Dalio interview video

See below for the latest analysis in my cryptocurrency trading bot.

Question: Are you willing to pay for discounted long term Analytic subscription terms? Let me know.

If you have not been reading these emails, I have done revamped the store to my old reactivated Shopify store. I am sure you are not interested in the benefits, so I will just post the the highlighted links:

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Thanks Bryan

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Did this research paper kick off Renaissance Technologies?

From the research paper authored by Peter Brown and Robert Mercer while at the IBM Watson Research Center in the early 90s.

http://www.naxa.com/downloads/J93-2003.pdf

Interested in this type of topic? Check this out

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It seems the initial 5 models are based on Bayes Theorem for probability analysis.  They use a series of analysis to compare one against another (.e.g French vs English) to find patterns to see how connection relate with each other. This is for translation purposes.

P

Pg 7: We generally follow the common convention of using uppercase letters to denote random variables and the corresponding lowercase letters to denote specific values that the random variables may take. We have already used I and m to represent the lengths of the strings e and L and so we use L and M to denote the corresponding random variables.

As stated here by James Baker, https://www.quora.com/What-are-the-investment-strategies-of-James-Simons-Renaissance-Technologies-I-understand-he-employs-complex-mathematical-models-along-with-statistical-analyses-to-predict-non-equilibrium-changes

We need to understand the corresponding random variables. There is mention of Lagrange multipliers and normalizing predictive data.

Auxiliary functions are used as well to generate desirable parameters using extrema/maxima analysis. Conditional probabilities are used as well. On pg 276 there are translation, distortion and fertility probabilities.


Page 282: Model 5 is a powerful but unwieldy ally in the battle to align translations. It must be led to the battlefield by its weaker but more agile brethren Models 2, 3, and 4. In fact, this is the raison d’etre of these models. To keep them aware of the lay of the land, we adjust their parameters as we carry out iterations of the EM algorithm for Model 5. That is, we collect counts for Models 2, 3, and 4 by summing over alignments as determined by the abbreviated S described above, using Model 5 to compute Pr(ale, f). Although this appears to increase the storage necessary for maintaining counts as we proceed through the training data, the extra burden is small because the overwhelming majority of the storage is devoted to counts for t(fle ), and these are the same for Models 2, 3, 4, and 5.

Page 283 shows the number of translations done which goes into the millions to determine a small subset of useful words. EM algo used with maximum likelihood.

Pg 283 Although the entire t array has 2,437, 020,096 entries, and we need to store it twice, once as probabilities and once as counts, it is clear from the preceeding remarks that we need never deal with more than about 25 million counts or about 12 million probabilities. We store these two arrays using standard sparse matrix techniques. We 283 Computational Linguistics Volume 19, Number 2 keep counts as pairs of bytes, but allow for overflow into 4 bytes if necessary. In this way, it is possible to run the training program in less than 100 megabytes of memory. While this number would have seemed extravag…

Page 293 speaks of Viterbi algo training:

We have already used this algorithm successfully as a part of a system to assign senses to English and French words on the basis of the context in which they appear (…

Page 297 table of notation

Appendix B has summary of models. Note especially Log-Likelihood Objective Function.

Note page 300 iterative improvement.

In order to apply these algorithms, we need to solve the maximization problems of Steps 2 and 4. For the models that we consider, we can do this explicitly. T

Page 301: Parameter Reestimation Formulae: In order to apply these algorithms, we need to solve the maximization problems of Steps 2 and 4. For the models that we consider, we can do this explicitly.

Equation (73) is useful in computations since it involves only O(lm) arithmetic operations, whereas the original sum over alignments (72) involves 0(I m) operations.

Download entire collection including some old interview with Jim Simons and rare audio speech of Peter Brown and Bob Mercer

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