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<!--Generated by Squarespace Site Server v5.11.81 (http://www.squarespace.com/) on Wed, 16 May 2012 22:54:49 GMT--><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/"><title>Trading</title><subtitle>Trading</subtitle><id>http://biggercapital.squarespace.com/biggercapital-algorithm/</id><link rel="alternate" type="application/xhtml+xml" href="http://biggercapital.squarespace.com/biggercapital-algorithm/"/><link rel="self" type="application/atom+xml" href="http://biggercapital.squarespace.com/biggercapital-algorithm/atom.xml"/><updated>2012-04-30T13:14:14Z</updated><generator uri="http://www.squarespace.com/" version="Squarespace Site Server v5.11.81 (http://www.squarespace.com/)">Squarespace</generator><entry><title>I Wish I Had Learned to Trade This First</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/25/i-wish-i-had-learned-to-trade-this-first.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/25/i-wish-i-had-learned-to-trade-this-first.html"/><author><name>Jennifer Galperin</name></author><published>2012-04-25T18:36:35Z</published><updated>2012-04-25T18:36:35Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">A while ago I wrote a <a href="http://biggercapital.squarespace.com/biggercapital-algorithm/2010/11/18/starting-over.html">blog post about Starting Over</a>.  There are a lot of things I wish I had known when I started my trading career. &nbsp;One thing I wish I had done was to learn how to trade 8*$SPY - 13*$IWM. This is my favorite trading vehicle. I think most traders should keep this spread on their screens. &nbsp;The trading apprentice should play with it in a sandbox. Here is the statistical run-down on it:</span></p>
<p><span style="font-size: 120%;">For a larger image, click&nbsp;<a href="http://goo.gl/kwrOs">here</a>.</span></p>
<p><iframe width="650"height="863" src="http://spreadanalyzer.biggercapital.com/temp/ScreenShots/634709596461582361.jpg" frameborder="0"></iframe>&nbsp;</p>
<p>&nbsp;</p>
<p><span style="font-size: 120%;">Here is a graph of this spreads at a shorter time scale:</span></p>
<p><span class="full-image-block ssNonEditable"><a href="http://biggercapital.squarespace.com/storage/pictures/spy%20iwm%204%2030%202012.png"><img style="width: 600px;" src="http://biggercapital.squarespace.com/storage/pictures/spy%20iwm%204%2030%202012.png?__SQUARESPACE_CACHEVERSION=1335787873040" alt="" /></a></span></p>
<p><span style="font-size: 120%;">If you want to become a professional trader, there is a lot to learn. &nbsp;When you are first starting out, SPY-IWM is a great product because it is liquid, easy to understand, can be traded on a short (but not instant) time-frame, and provides lots of opportunities to make money.  It will help you learn some of the subtle yet important aspects of trading, such as: &nbsp;&nbsp;</span></p>
<ul>
<li><span style="font-size: 120%;">Setting probabilistic and symmetrical stop losses&nbsp;</span></li>
<li><span style="font-size: 120%;">Emotion and it's impact on the market</span></li>
<li><span style="font-size: 120%;">Liquidity gaps and spikes</span></li>
<li><span style="font-size: 120%;">Pricing lags in one security versus another</span></li>
<li><span style="font-size: 120%;">Changes in the market environment, and how to adapt your strategy</span></li>
<li><span style="font-size: 120%;">Intraday time windows</span></li>
</ul>
<p><span style="font-size: 120%;">What is your favorite trading vehicle?</span></p>
<p><span style="font-size: 120%;"><br /></span></p>
<p><span style="font-size: 120%;">Written by&nbsp;<a style="font-size: 120%;" href="http://biggercapital.squarespace.com/about/">Michael Bigger</a>. Follow me on&nbsp;<a style="font-size: 120%;" href="http://twitter.com/biggercapital">Twitter</a>&nbsp;and&nbsp;<a style="font-size: 120%;" href="http://www.stocktwits.com/biggercapital">StockTwits</a>.</span></p>]]></content></entry><entry><title>How to Build a Spread Trading Playbook</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/20/how-to-build-a-spread-trading-playbook.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/20/how-to-build-a-spread-trading-playbook.html"/><author><name>Michael Bigger</name></author><published>2012-04-20T14:19:40Z</published><updated>2012-04-20T14:19:40Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">In this video, Jennifer also reveals how I trade my Favorite Spread: 8 * $SPY - 13 * $IWM.</span><br /><br /> <iframe src="http://player.vimeo.com/video/40722006?title=0&amp;byline=0&amp;portrait=0" width="600" height="400" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe></p>
<p><a href="http://vimeo.com/user9635480"></a> .</p>]]></content></entry><entry><title>Darwin the Trader</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/2/darwin-the-trader.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/4/2/darwin-the-trader.html"/><author><name>Jennifer Galperin</name></author><published>2012-04-02T18:45:48Z</published><updated>2012-04-02T18:45:48Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">Charles Darwin is widely known as the man behind the Theory of Evolution.&nbsp; He theorized that through evolution a species could adapt to different environmental conditions.&nbsp; Those individuals who did not adapt would not survive to pass along their genes.&nbsp;</span></p>
<p><span style="font-size: 120%;">A friend said to me the other day, &ldquo;It is the market&rsquo;s fault I lost money trading last month.&rdquo; &nbsp;</span></p>
<p><span style="font-size: 120%;">I could have agreed with my friend's opinion since I have spent the last two years building my quantitative strategy and I have had plenty of setbacks along the way. Now in the current low-volatility enviromnent I am making money trading my strategy at a very short time scale, choosing my entry points very wisely, and capitalizing on many small gains.</span></p>
<p><span style="font-size: 120%;">At various points in my journey so far, I have had to cut limbs to survive. I had to admit I did not know much about quant strategies when I started. I made mistakes, took steps back to think, I iterated, re-tested, and moved forward. I had to adapt to market conditions all the time.&nbsp;</span></p>
<p><span style="font-size: 120%;">What has worked for me is to adapt to different market conditions all the time. &nbsp;Like a football team, I started by building a book of plays that will work at diffe</span><a>Save &amp; Close</a><span style="font-size: 120%;">rent times and against different opponents, in different market environments. I learned that what worked last week may not work this week or next. &nbsp;I need to understand my opponent by recognizing trends, inflection points, and themes in the market, all of which can change on a dime. &nbsp;I use my growing playbook to exploit this situation. &nbsp;If you build a good playbook you will have the trades set to make money in any market conditions by adapting and evolving.</span></p>
<p><span style="font-size: 120%;">A playbook is the tool I have built in order to adapt.&nbsp;</span></p>
<p><span style="font-size: 120%;">So how do we adapt?&nbsp; For quantitative traders, this can be one of the hardest things to do.&nbsp; Computers don&rsquo;t learn and adapt, they just crunch numbers.&nbsp; Humans need to think very carefully about the inputs. &nbsp;Maybe that means we ask the computer to look at performance of the strategy in bull and in bear markets, or in low and high volatility environments, or in times when oil prices are low and high.&nbsp; Whatever we think might impact our strategy.&nbsp; Maybe we find that when certain market conditions are in effect, we need to tweak our strategy (or radically change it).&nbsp; Then, experiment with the change.&nbsp; Try one or two small trades to see how they perform.&nbsp; But don&rsquo;t get too comfortable, because the next change in the market is just around the corner. &nbsp;</span></p>
<p><span style="font-size: 120%;">Later this month, I will host a webinar discussing how I have built my playbook with detailed trades. Stay tuned ... details to come shortly.</span></p>
<p><span style="font-size: 120%;">Written by Jennifer Galperin. Follow me on&nbsp;<a href="http://twitter.com/slimshappy">Twitter</a>&nbsp;and&nbsp;<a href="http://www.stocktwits.com/jengalperin">StockTwits</a>.</span></p>]]></content></entry><entry><title>Learn to Trade Like a Math Geek</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/15/learn-to-trade-like-a-math-geek.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/15/learn-to-trade-like-a-math-geek.html"/><author><name>Jennifer Galperin</name></author><published>2012-03-15T16:53:29Z</published><updated>2012-03-15T16:53:29Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">On Wednesday we held a webinar "Learn to Trade Like a Math Geek".  We had great turnout, and I want to thank everyone who joined us.  I've received a lot of emails asking about the recording, which you can find at the bottom of this blog post.  We discussed some of the key math terms involved in statistical arbitrage spread trading.  Many of the questions were specifically about calculations and how they are done.  It is important not to get too bogged down with the math.    Cointegration tells you that the two stocks have a history of reverting to a mean level like a spring.  When you design your statistical arbitrage trading framework, you want to build a portfolio of these spreads.  You should see that most of them behave nicely, while a few continue on their trend away from the mean.  You'll develop your own recipes for determining when spreads will behave well and when they will not.  You may even develop some recipes for trading spreads that are very different, like the earnings strategy we discussed at the end.  The beauty of statistical arbitrage spread trading is that you can design your own strategy however you find it works best.    Here is the replay.</span></p>
<p>&nbsp;</p>
<div><iframe src="http://player.vimeo.com/video/38579904?title=0&amp;byline=0&amp;portrait=0" width="600" height="400" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe></div>
<div>
<p>&nbsp;</p>
<p><span style="font-size: 120%;">Written by Jennifer Galperin.  Follow me on&nbsp;<a style="font-size: 14px;" href="http://twitter.com/slimshappy">Twitter</a>&nbsp;and&nbsp;<a style="font-size: 14px;" href="http://www.stocktwits.com/jengalperin">StockTwits</a>.</span></p>
</div>]]></content></entry><entry><title>Learn to Trade Like a Math Geek Webinar</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/13/learn-to-trade-like-a-math-geek-webinar.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/13/learn-to-trade-like-a-math-geek-webinar.html"/><author><name>Jennifer Galperin</name></author><published>2012-03-13T17:21:22Z</published><updated>2012-03-13T17:21:22Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span>We are doing a webinar tomorrow called "Learn to Trade Like a Math Geek". It will be at 4:30pm eastern daylight time. We will discuss the mathematical side of statistical arbitrage trading in a very practical way, no knowledge of statistics assumed. Please click&nbsp;</span><a rel="nofollow" href="https://www4.gotomeeting.com/register/952448999">here</a><span>&nbsp;to register.</span></p>]]></content></entry><entry><title>Volatility Traders: a Great Tool for You</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/12/volatility-traders-a-great-tool-for-you.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/12/volatility-traders-a-great-tool-for-you.html"/><author><name>Norman Winer</name></author><published>2012-03-12T15:58:04Z</published><updated>2012-03-12T15:58:04Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">My main trading strategy is long/short equity pairs based on statistical methods so our web based Spread Analyzer is an essential tool for me.&nbsp; But even if your strategy is not based on statistical relationships our Spread Analyzer can also add value.</span></p>
<p><span style="font-size: 120%;">In addition to my long/short strategy I also trade options, and I&rsquo;ve recently gotten in the habit of using our Spread Analyzer for that strategy too.&nbsp; The strategy involves buying cheap volatility so there is no direct connection to statistical arbitrage.&nbsp; Yet I find it&rsquo;s useful to see how over or under valued a stock may be relative to the market or its peers, and how strong that statistical relationship is.&nbsp; For example, if I think volatility is beginning to look cheap in a particular stock but I can&rsquo;t decide whether to buy or wait, I&rsquo;ll run the stock through the Analyzer against the market or its peers.&nbsp; If the stock looks expensive (with a strong statistical relationship) I will probably buy volatility.&nbsp; If it looks cheap I might decide to wait.</span></p>
<p><span style="font-size: 120%;">Whatever your strategy, there are probably dozens of ways the <a href="http://spreadanalyzer.biggercapital.com/CommonFiles/Login.aspx?ReturnUrl=%2f%3f">Spread Analyzer</a> can be a useful tool.&nbsp; It only takes a few seconds.&nbsp; Try it and let me know what you think.</span></p>
<p><span style="font-size: 120%;">Written by Norm Winer. &nbsp;Follow me on <a href="https://twitter.com/#!/biggercapitalnw">Twitter</a> and <a href="http://stocktwits.com/biggercapitalnw">StockTwits</a>.</span></p>]]></content></entry><entry><title>Migrating to the Cloud</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/7/migrating-to-the-cloud.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/7/migrating-to-the-cloud.html"/><author><name>Michael Bigger</name></author><published>2012-03-07T19:52:01Z</published><updated>2012-03-07T19:52:01Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">Fred Wilson wrote a great post about moving from Skype to Google Hangouts. You can read his post <a href="http://www.avc.com/a_vc/2012/03/moving-to-google-hangouts.html">here</a>.</span></p>
<p><span style="font-size: 120%;">What really caught my attention in this post was the following statement:</span></p>
<blockquote>
<p><em style="font-size: 120%;"><span style="font-size: 120%;">But my decision last year to leave the world of files and apps and get to the cloud has been incredibly liberating</span></em></p>
</blockquote>
<p><span style="font-size: 120%;">That statement resonates with me because I find it liberating to run web enabled applications. This is the main reason we developed our web-enabled Spread Analyzer. It was a pain in the ass to upgrade our own internal software on each trader's desktop. So we decided to change our approach. It was liberating. Once we enabled our tool, it became obvious to us that other traders could use it as well and the incremental cost to allow others to use it was minimal. So we opened it up with minimal friction, and it opened up all kinds of avenues for us to explore.</span></p>
<p><span style="font-size: 120%;">Fred Wilson is a very successful investor and his statement speaks to the paradigm shift currently under way in technology. Big money with big stocks will be made on this shift.</span></p>
<p><span style="font-size: 120%;">I am paying attention. You?&nbsp;</span></p>
<p><span style="font-size: 120%;">Written by&nbsp;</span><a style="font-size: 120%;" href="http://biggercapital.squarespace.com/about/">Michael Bigger</a><span style="font-size: 120%;">. Follow me on&nbsp;</span><a style="font-size: 120%;" href="http://twitter.com/biggercapital">Twitter</a><span style="font-size: 120%;">&nbsp;and&nbsp;</span><a style="font-size: 120%;" href="http://www.stocktwits.com/biggercapital">StockTwits</a><span style="font-size: 120%;">.</span>&nbsp;</p>]]></content></entry><entry><title>Magical Widget</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/5/magical-widget.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/5/magical-widget.html"/><author><name>Michael Bigger</name></author><published>2012-03-05T23:00:00Z</published><updated>2012-03-05T23:00:00Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">In a frictionless, costless, and magical world, I would have a magical widget that allows me to interact with financial data in the following fashion.</span></p>
<p><span style="font-size: 120%;">From any program I could make a call resembling this:</span></p>
<p style="text-align: center;"><span style="font-size: 90%;">Get (ticker A, market capitalization, source of information) =====&gt; output = accurate theoretical market capitalization for ticker &nbsp;A</span></p>
<p style="text-align: left;"><span style="font-size: 120%;">I could use this widget to run algorithms in spreadsheets, program scripts, and so forth. &nbsp;I could search for companies trading well below (or above) their theoretical market capitalization and make lots of money.</span></p>
<p style="text-align: left;"><span style="font-size: 120%;">My goal is to find or develop this tool in the real world.</span></p>
<p><span style="font-size: 120%;">GoogleFinance's structure most closely resembles what I am looking for but the set of attributes is very small. It is a start though, and a window into the future.&nbsp;</span></p>
<p><span style="font-size: 120%;">In the meantime, information gatekeeping and speed bumping will continue to be a very good business.</span></p>
<p><span style="font-size: 120%;">Maybe Amazon.com's Mechanical Turks can be used to bypass the gatekeepers. Perhaps also the Twitter API.</span></p>
<p><span style="font-size: 120%;">Do you know of any cool financial tools that can get me closer to my goal? Is my magical widget something you would use if it existed?</span></p>
<p><span style="font-size: 120%;">Would this be something useful?</span></p>
<p style="text-align: center;"><span style="font-size: 120%;"><span>Get (AAPL, AMZN cointegration 5yrs, Bigger Capital) =====&gt; cointegration of AAPL and AMZN over a 5 year period</span></span></p>
<p><span style="font-size: 120%;"><br /></span></p>
<p><span style="font-size: 120%;">Written by&nbsp;<a href="http://biggercapital.squarespace.com/about/">Michael Bigger</a>. Follow me on&nbsp;<a href="http://twitter.com/biggercapital">Twitter</a>&nbsp;and&nbsp;<a href="http://www.stocktwits.com/biggercapital">StockTwits</a>.</span></p>]]></content></entry><entry><title>Sorting Your Stock Spreads Just Got Easier</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/2/sorting-your-stock-spreads-just-got-easier.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/2/sorting-your-stock-spreads-just-got-easier.html"/><author><name>Jennifer Galperin</name></author><published>2012-03-02T13:38:41Z</published><updated>2012-03-02T13:38:41Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">You ask, we listen!  On December 8 we wrote a <a href="http://biggercapital.squarespace.com/biggercapital-algorithm/2011/12/8/the-big-pairs-debate.html">blog post</a> about our views on trading statistical spreads with stocks in the same industry.  Since then, we have received tons of requests to provide you with the ability to sort and filter SpreadTraderPro's daily scan by sector and industry.</span></p>
<p><iframe src="http://player.vimeo.com/video/37766153?title=0&amp;byline=0&amp;portrait=0" width="440" height="198" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe></p>
<p><span style="font-size: 120%;">The industry information is now included with your SpreadTraderPro daily scan, at no additional charge!  Not a member?  <a href="http://biggercapital.squarespace.com/spread-trader-pro/">Click here</a> to find out more about our daily scan data, members-only forum, and exclusive blog.</span></p>
<p><span style="font-size: 120%;">If you agree with Jen's view in the blog post and think statistical arbitrage pairs should contain stocks in similar businesses, then we're making it even easier to find great trading candidates within a common industry or sector.  If you agree with Michael's view that cash is king no matter what business the stocks are in, then you can still see all the same types of great trading candidates you've always seen.  Either way, we think you will find the industry data helpful.</span></p>
<p><span style="font-size: 120%;">Happy Spread Trading!</span></p>
<p><span style="font-size: 120%;">Written by Jennifer Galperin.  Follow me on </span><a style="font-size: 120%;" href="https://twitter.com/#!/slimshappy">Twitter</a><span style="font-size: 120%;"> and </span><a style="font-size: 120%;" href="http://stocktwits.com/Jengalperin">StockTwits</a><span style="font-size: 120%;">.</span></p>]]></content></entry><entry><title>Celebrating Bachelier</title><id>http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/1/celebrating-bachelier.html</id><link rel="alternate" type="text/html" href="http://biggercapital.squarespace.com/biggercapital-algorithm/2012/3/1/celebrating-bachelier.html"/><author><name>Michael Bigger</name></author><published>2012-03-01T15:26:12Z</published><updated>2012-03-01T15:26:12Z</updated><content type="html" xml:lang="en-US"><![CDATA[<p><span style="font-size: 120%;">Bachelier, LLC is the name of my latest trading venture. I named the company after Louis Bachelier who <em>was a&nbsp;<a title="French people" href="http://en.wikipedia.org/wiki/French_people">French</a>&nbsp;<a title="Mathematician" href="http://en.wikipedia.org/wiki/Mathematician">mathematician</a>&nbsp;at the turn of the 20th century.&nbsp;He is credited with being the first person to model the&nbsp;<a title="Stochastic process" href="http://en.wikipedia.org/wiki/Stochastic_process">stochastic process</a>&nbsp;now called&nbsp;<a title="Brownian motion" href="http://en.wikipedia.org/wiki/Brownian_motion">Brownian motion</a>, which was part of his PhD thesis&nbsp;The Theory of Speculation, (published 1900). Bachelier's work on&nbsp;<a title="Random walk" href="http://en.wikipedia.org/wiki/Random_walk">random walks</a>&nbsp;predated&nbsp;<a title="Albert Einstein" href="http://en.wikipedia.org/wiki/Albert_Einstein">Einstein</a>'s celebrated study of&nbsp;<a title="Brownian motion" href="http://en.wikipedia.org/wiki/Brownian_motion">Brownian motion</a>&nbsp;by five years</em> (source here: <a href="http://en.wikipedia.org/wiki/Louis_Bachelier">Wikipedia</a>). Read it, it is a fascinating story.</span></p>
<p><span style="font-size: 120%;">Bachelier's Brownian motion is the core mathematic concept behind options pricing and Monte Carlo simulations; the core mathematic concept behind modern finance.</span></p>
<p><span style="font-size: 120%;">Bachelier, LLC is a trading platform. As such it is a platform of trading experiments performed by human beings with the help of computers.</span></p>
<p><span style="font-size: 120%;">We are fascinated by the different forces influencing a stock price such as the statistical nature of its historical price, its Brownian motion profile (volatility), and the evolution of the intrinsic value of the underlying company. These forces and other forces drive the stock price at different time scales and the pulls create opportunities.</span></p>
<p><span style="font-size: 120%;">Then there is the interaction of time and people on these systems. People operating in a world in which information is getting almost perfect and free with friction decreasing rapidly. Not only that, with the advent of Twitter, we now have a global human network influencing the system as well.</span></p>
<p><span style="font-size: 120%;">We are learning about all this but we are far from understanding it very well. What do you think?</span></p>
<p><span style="font-size: 120%;">Written by&nbsp;<a href="http://biggercapital.squarespace.com/about/">Michael Bigger</a>. Follow me on&nbsp;<a href="http://twitter.com/biggercapital">Twitter</a>&nbsp;and&nbsp;<a href="http://www.stocktwits.com/biggercapital">StockTwits</a>.</span></p>
<p><span style="font-size: 120%;">&nbsp;</span></p>]]></content></entry></feed>
