{"id":24698,"date":"2026-01-17T18:09:21","date_gmt":"2026-01-17T18:09:21","guid":{"rendered":"https:\/\/finderica.com\/?p=24698"},"modified":"2026-01-17T18:09:21","modified_gmt":"2026-01-17T18:09:21","slug":"what-a-map-of-london-reveals-about-market-patterns","status":"publish","type":"post","link":"https:\/\/finderica.com\/?p=24698","title":{"rendered":"What a Map of London Reveals About Market Patterns"},"content":{"rendered":"<div>\n<p><strong>Editor\u2019s Note:<\/strong> What does an outbreak in London in 1854 have to do with predicting a stock\u2019s future price moves in 2026? Read today\u2019s <em>Wealthy Retirement<\/em> from TradeSmith CEO Keith Kaplan to find out.<\/p>\n<p>Then keep reading to learn about a <a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">special tool Keith and his team developed<\/a> that helps identify periods of time when a stock is most likely to surge higher.<\/p>\n<p>Keith also mentions an event taking place on <strong>Tuesday, January 20, at 10 a.m. ET<\/strong> \u2013 <strong><em>Prediction 2026<\/em><\/strong> \u2013 where he will take a deeper dive into how this tool works and the best ways to put it to use.<\/p>\n<p><strong><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">Go here to claim your spot.<\/a><\/strong><\/p>\n<p>\u2013 James Ogletree, Senior Managing Editor<\/p>\n<hr>\n<p>In August 1854, a terrifying illness swept through Soho, London, during one of the hottest summers the city could remember.<\/p>\n<p>People were dying in hours \u2013 by the hundreds.<\/p>\n<p>Their bodies lost fluid so fast that their skin shrank and their lips turned blue. Victims collapsed where they stood \u2013 on stairwells, in courtyards, on their doorsteps.<\/p>\n<p>Medical authorities blamed \u201cmiasma\u201d \u2013 or bad air \u2013 seeping from open drains, rotting refuse, and poorly ventilated slum housing. Newspapers warned of \u201cpoisonous vapors\u201d rising from the city streets.<\/p>\n<p>John Snow, a pioneering London physician, wasn\u2019t convinced.<\/p>\n<p>In earlier outbreaks, he\u2019d noticed that people who did not share air were falling ill, while others who breathed the same air remained healthy. Instead, what the victims shared was <em>water<\/em>.<\/p>\n<p>To test his suspicion, Snow mapped the Soho outbreak.<\/p>\n<p>Armed with a notebook and a street map, he walked the neighborhood, marking each death with a short black line.<\/p>\n<p>As the marks accumulated, a clear picture emerged. The deaths clustered around a single point \u2013 a public water pump on Broad Street.<\/p>\n<p><a style=\"text-decoration: none;\" href=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/wr\/20260117_WR_London_map.jpg\" data-rel=\"penci-gallery-image-content\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" style=\"width: 350px; max-width: 100%; display: block; margin: 0 auto;\" src=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/wr\/20260117_WR_London_map.jpg\" alt=\"Map of London\" width=\"350\" height=\"auto\"><\/a><\/p>\n<p style=\"font-size: 16px; line-height: 130%; mso-line-height-rule: exactly; text-align: center;\"><em>A copy of John Snow\u2019s 1854 map of deaths in Soho, London<\/em><\/p>\n<p>The illness was cholera \u2013 a fast-moving waterborne bacterial disease \u2013 and when officials removed the pump handle, the outbreak stopped.<\/p>\n<p>Once someone knew where to look, what looked like chaos turned out to be structured.<\/p>\n<p>Many complex systems behave the same way. On the surface, they appear noisy and unpredictable. But when you step back and study them over time, recurring patterns begin to emerge.<\/p>\n<p>The stock market is no different.<\/p>\n<p>I know because my team and I at TradeSmith have developed cutting-edge software that identifies recurring seasonal patterns in thousands of stocks \u2013 specific times of year when they tend to rise and others when they tend to fall.<\/p>\n<p>And there are some fast-approaching seasonal windows that you need to be aware of. That\u2019s why we\u2019re hosting an online event all about what\u2019s coming \u2013 <strong><em><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">Prediction 2026<\/a><\/em><\/strong> \u2013 <strong>next Tuesday, January\u00a020, at 10\u00a0a.m.\u00a0ET<\/strong>.<\/p>\n<p>Ahead of the event, we\u2019ve unlocked a trial version of our groundbreaking seasonal software. It allows you to look for seasonality patterns in the stocks you own or are thinking of buying.<\/p>\n<p>So, make sure to <a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">register for that here<\/a> to unlock your free access. Then read on for more on the seasonality phenomenon in markets \u2013 and how, over the last 15 years, some stocks have followed their seasonality windows with 100% historical accuracy.<\/p>\n<h2><strong>Seasonality Affects Markets Too<\/strong><\/h2>\n<p>Commodity traders have long tracked planting and harvest cycles in crops like corn and wheat.<\/p>\n<p>Energy traders watch seasonal demand shifts tied to winter heating and summer cooling.<\/p>\n<p>The gold market has recurring seasonal tendencies, often strengthening during certain parts of the year tied to jewelry demand, central bank buying, and annual festivals in India and China.<\/p>\n<p>And stock investors have studied phenomena like the \u201cJanuary Effect\u201d for decades. Even Wall Street\u2019s old saying \u2013 \u201csell in May and go away\u201d \u2013 comes from observed seasonal behavior, not theory.<\/p>\n<p>But seasonality doesn\u2019t just apply to commodities and the big stock market indexes. Every stock has its own seasons to rise or fall \u2013 a kind of summer and a kind of winter too \u2013 year after year.<\/p>\n<p>Big-box retailer <strong>Target<\/strong> (TGT) provides a good example.<\/p>\n<p>As one of America\u2019s largest retailers, this stock moves with the rhythms of consumer spending throughout the year. But for all the money won \u2013 and lost \u2013 on Target over the last few years, there\u2019s one certainty\u2026<\/p>\n<p>Between June 22 and July 21, you want to buy the retail bellwether. Target has moved up an average of 5.2% during that summer period, rising 100% of the time over the past 15 years:<\/p>\n<p><a style=\"text-decoration: none;\" href=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Target.jpg\" data-rel=\"penci-gallery-image-content\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter size-full img-fluid img-responsive cc_pointer\" style=\"width: 550px; max-width: 100%; display: block; margin: 0 auto;\" src=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Target.jpg\" alt=\"Chart: Target (TGT)\" width=\"550\" height=\"auto\"><\/a><\/p>\n<p>That\u2019s 15 years of summertime price spikes, starting long before it fell under the pandemic-era spotlight. And in 2025, the pattern held true: Target rose 10.3% during its 29-day seasonally bullish window.<\/p>\n<p>The chart you\u2019re seeing above is from one of the breakthrough innovations from TradeSmith\u2019s team of researchers, software engineers, and quant investors: our ground-breaking <em>Trade Cycles<\/em> Seasonality tool.<\/p>\n<p>It\u2019s an easy-to-use tool that can take one of thousands of commonly traded stocks, analyze its movements, and point out its strongest seasonality trends \u2013 with starting periods narrowed down <em>to the day<\/em>.<\/p>\n<p>Here\u2019s another example of a strong seasonality pattern, this time in <strong>Home Depot<\/strong> (HD):<\/p>\n<p><a style=\"text-decoration: none;\" href=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Home_Depot.jpg\" data-rel=\"penci-gallery-image-content\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter size-full img-fluid img-responsive cc_pointer\" style=\"width: 550px; max-width: 100%; display: block; margin: 0 auto;\" src=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Home_Depot.jpg\" alt=\"Chart: Home Depot (HD)\" width=\"550\" height=\"auto\"><\/a><\/p>\n<p>Over the last 15 years, between June 15 and July 27, Home Depot\u2019s share price has risen 93% of the time, with an average return of 4.7%.<\/p>\n<p>And in 2025, the pattern held true again. It rose from $349.31 on June 16 to $372.69 on July 28 \u2013 a 6.7% gain in just over a month.<\/p>\n<h2><strong>A Powerful New System for Seasonal Profits<\/strong><\/h2>\n<p>Target and Home Depot are just two examples among many others.<\/p>\n<p>Our development team has fine-tuned this tool to uncover seasonality cycles in stocks, stock market indexes like the S&amp;P 500 and the Nasdaq, as well as in currencies and commodities.<\/p>\n<p>By crunching the data and compiling the historical movements of thousands of different assets and running 50,000 tests a day to analyze every stock in the major indexes, we\u2019ve built a powerful system to help predict the biggest jumps on 5,000 stocks.<\/p>\n<p>Over our 18-year backtest, these seasonal trades delivered 857% in total growth. That\u2019s more than <em>twice<\/em> what the S&amp;P 500 delivered over the same time.<\/p>\n<p>Even in 2007, the worst year in our testing, we saw an average gain of 2.5% per trade and an average annual return of 37.9%. That\u2019s close to four times the long-term average annual gain of the S&amp;P 500.<\/p>\n<p><a style=\"text-decoration: none;\" href=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Portfolio.jpg\" data-rel=\"penci-gallery-image-content\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter size-full img-fluid img-responsive cc_pointer\" style=\"width: 550px; max-width: 100%; display: block; margin: 0 auto;\" src=\"https:\/\/dkwegfj7whlol.cloudfront.net\/oxford\/cn\/20260114_CN_Portfolio.jpg\" alt=\"Chart: Keith's Model Portfolio\" width=\"550\" height=\"auto\"><\/a><\/p>\n<p>The question now: How can we make this powerful system work for you?<\/p>\n<h2><strong>The Power of Seasonality Is Now in Your Hands<\/strong><\/h2>\n<p><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">Go here to register<\/a> for access to an \u201cunlocked\u201d version of TradeSmith\u2019s groundbreaking Seasonality tool.<\/p>\n<p>Then you can explore the results of our powerful research for the stocks you own \u2013 or are thinking of buying. It\u2019s available online until Monday, January 19.<\/p>\n<p>Then on <strong>Tuesday, January\u00a020, at 10\u00a0a.m.\u00a0ET<\/strong> during <a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\">our <em>Prediction 2026<\/em> webinar<\/a>, I\u2019ll show you how our Seasonality tool can help you find the best time to buy <em>and<\/em> sell a stock \u2013 down to the day.<\/p>\n<p>And as we start the new year, a new batch of these seasonal cycles is about to kick off\u2026<\/p>\n<p><a href=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\" target=\"_blank\" rel=\"noopener noreferrer\" data-url=\"https:\/\/signup.tradesmith.com\/?cid=MKT856999&amp;eid=MKT859043\"><strong>Go here now to register for the event<\/strong><\/a> \u2013 and give TradeSmith\u2019s Seasonality tool a try, free of charge, before the big event.<\/p>\n<p>I hope to see you there!<\/p>\n<p>Keith Kaplan<br \/>CEO, TradeSmith<\/p>\n<\/p><\/div>\n<p><script>\n  window.fbAsyncInit = function() {\n    FB.init({\n      appId      : '555402891275842',\n      xfbml      : true,\n      version    : 'v20.0'\n    });\n    FB.AppEvents.logPageView();\n  };\n  (function(d, s, id){\n     var js, fjs = d.getElementsByTagName(s)[0];\n     if (d.getElementById(id)) {return;}\n     js = d.createElement(s); js.id = id;\n     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n     fjs.parentNode.insertBefore(js, fjs);\n   }(document, 'script', 'facebook-jssdk'));\n<\/script><script>\n    (function(d, s, id) {\n      var js, fjs = d.getElementsByTagName(s)[0];\n      if (d.getElementById(id)) return;\n      js = d.createElement(s);\n      js.id = id;\n      js.src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#xfbml=1&version=v3.1&appId=555402891275842&autoLogAppEvents=1\";\n      fjs.parentNode.insertBefore(js, fjs);\n    }(document, 'script', 'facebook-jssdk'));\n  <\/script><br \/>\n<br \/><a href=\"https:\/\/wealthyretirement.com\/market-trends\/what-a-map-of-london-reveals-about-market-patterns\/?source=app\" target=\"_blank\" rel=\"noopener\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Editor\u2019s Note: What does an outbreak in London in 1854 have to do with predicting a stock\u2019s future price moves in 2026? Read today\u2019s Wealthy Retirement from TradeSmith CEO Keith Kaplan to find out. Then keep reading to learn about a special tool Keith and his team developed that helps identify periods of time when<\/p>\n","protected":false},"author":2,"featured_media":24699,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rank_math_lock_modified_date":false,"footnotes":""},"categories":[348],"tags":[2561,9281,94,2667,2116],"class_list":{"0":"post-24698","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-retirement","8":"tag-london","9":"tag-map","10":"tag-market","11":"tag-patterns","12":"tag-reveals"},"_links":{"self":[{"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/posts\/24698","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/finderica.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24698"}],"version-history":[{"count":0,"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/posts\/24698\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/finderica.com\/index.php?rest_route=\/wp\/v2\/media\/24699"}],"wp:attachment":[{"href":"https:\/\/finderica.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24698"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/finderica.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24698"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/finderica.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24698"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}