{"id":31431,"date":"2024-01-08T16:44:54","date_gmt":"2024-01-08T15:44:54","guid":{"rendered":"https:\/\/quantpedia.com\/?p=31431"},"modified":"2025-06-04T14:11:11","modified_gmt":"2025-06-04T12:11:11","slug":"quantpedias-research-in-2023","status":"publish","type":"post","link":"https:\/\/vvv.quantpedia.com\/es\/quantpedias-research-in-2023\/","title":{"rendered":"Quantpedia\u2019s Research in 2023"},"content":{"rendered":"

Dear readers & clients,<\/p>\n\n\n\n

As we celebrate the dawn of another year, it’s a great occasion to reflect on Quantpedia’s journey in the previous 12 months. While 2023 certainly had its own share of challenges, luckily, the movements in financial markets were not as seismic as during the events that unfolded in 2022. As always, I am really proud of my whole team for their work as we continue fulfilling our primary mission<\/a> to process academic research related to quant & algo trading to a more user-friendly form.<\/p>\n\n\n\n

So, what are the main highlights?<\/p>\n\n\n\n

\u2013 We have again enlarged our database, currently to over 950 trading strategies<\/a>, produced over 100 out-of-sample backtests (and now we have over 730 of them<\/a>, with over 450 of them periodically updated<\/a>)<\/p>\n\n\n\n

\u2013 Other public ventures included the continuation of our Youtube series Quantpedia Explains Trading Strategies<\/a> (with over 50 new videos), an update of our lists of tools for quant traders (mainly for historical data<\/a>, but also for algo trading discounts for our readers)<\/a>, again a lot of public blogs<\/a> and countless of our own research articles<\/a><\/p>\n\n\n\n

\u2013 In spring 2023, we launched a new Quantpedia Prime<\/a> offering that serves as the \u201clight\u201d version of Quantpedia Premium and Pro tiers. It is tailored mainly to individual systematic investors, advisors, and quants at the beginning of their learning path. Users got access to a subset of Quantpedia Premium trading strategies (~100) that are easier to execute and understand<\/a> (mainly tactical asset allocation<\/a>, simple market timing<\/a>, y seasonality<\/a> strategies), plus access to essential modeling tools (Portfolio Manager<\/a>) and a few Quantpedia Pro<\/a> reports.<\/p>\n\n\n\n

\u2013 We have also continued to build our Quantpedia Pro<\/a> offering. Over the year, we performed a technical upgrade of the Portfolio Manager, and users can now create\/store\/manage multiple model portfolios and benchmarks. We also expanded its capabilities to over 40 reports<\/a>, with new additions like Strategy Grading<\/a>, Alpha Analysis<\/a>, Component Analysis<\/a>, Technical Analysis<\/a>, y Rebalancing Analysis<\/a>. <\/p>\n\n\n\n

\u2013 We are actively keeping a close watch on the developments in artificial intelligence and how it can be applied in the trading field. We published multiple short reviews of the current state of the technology<\/a> in the last year. We concluded with the launch of our own Quantpedia chatbot<\/a>, which has been trained on our database of Quantpedia strategies. It’s not the last endeavor, and we have some more surprises ready for the upcoming year.<\/p>\n\n\n\n

\u2013 Plus, there is one more surprise that we prepared for all of you for the year 2024. I am not telling you what it is at the moment as the full announcement will be made in about two weeks. But I will let you guess \ud83d\ude42<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
<\/div>\n\n\n\n

Happy New Year 2024 and profitable trading \u2026<\/p>\n\n\n\n

Yours,<\/p>\n\n\n\n

Radovan Vojtko & Team of Quantpedia.com<\/a><\/strong><\/p>\n\n\n\n

\n\n\n\n

PS: <\/strong>If you are looking for a few more articles to read, as usual, here is the list of previous month\u2019s blog posts, that you may find interesting:<\/p>\n\n\n\n

Cyber Risk and the Cross-Section of Stock Returns<\/a><\/strong>
Authors<\/strong>: Daniel Celeny and Lo\u00efc Mar\u00e9chal
Title<\/strong>: Cyber risk and the cross-section of stock returns<\/p>\n\n\n\n

What\u2019s the FED Perspective on Inflation Surprises and Equity Returns<\/a><\/strong>
Authors<\/strong>: Antonio Gil de Rubio Cruz, Emilio Osambela, Berardino Palazzo, Francisco Palomino, and Gustavo Suarez
Title<\/strong>: Inflation Surprises and Equity Returns<\/p>\n\n\n\n

Top Ten Blog Posts on Quantpedia in 2023<\/a><\/strong>
Author<\/strong>: Radovan Vojtko
Title<\/strong>: Top Ten Blog Posts on Quantpedia in 2023<\/p>\n\n\n\n

Why Do US Stocks Outperform EM and EAFE Regions?<\/a><\/strong>
Author<\/strong>: Cyril Dujava
Title<\/strong>: Why Do US Stocks Outperform EM and EAFE Regions?<\/p>\n\n\n\n

\n\n\n\n

\u00bfBuscas m\u00e1s estrategias para leer? Suscr\u00edbete a nuestro bolet\u00edn informativo<\/a> o visite nuestra Blog<\/a> o Evaluador<\/a><\/strong>.<\/p>\n\n\n\n

\u00bfQuieres saber m\u00e1s sobre el servicio Quantpedia Premium? Consulta C\u00f3mo funciona Quantpedia<\/a>, nuestra misi\u00f3n<\/a> y Oferta de precios premium<\/a>.<\/strong><\/p>\n\n\n\n

\u00bfQuieres saber m\u00e1s sobre el servicio Quantpedia Pro? Compru\u00e9balo descripci\u00f3n<\/a>, mirar videos<\/a>, revisar capacidades de generaci\u00f3n de informes<\/a> y visite nuestro oferta de precios<\/a>.<\/strong><\/p>\n\n\n\n

\u00bfBuscas datos hist\u00f3ricos o plataformas de backtesting? Consulta nuestra lista de Descuentos en Algo Trading<\/a><\/strong>.<\/p>\n\n\n\n

\u00bfTe gustar\u00eda tener acceso gratuito a? nuestros servicios<\/a>? Entonces, Abre una cuenta con Lightspeed.<\/a> y disfrute de un a\u00f1o de Quantpedia Premium sin costo alguno.<\/strong><\/p>\n\n\n\n

\n\n\n\n

O s\u00edguenos en:<\/strong><\/p>\n\n\n\n

Facebook Grupo<\/a>, Facebook P\u00e1gina<\/a>, Gorjeo<\/a>, LinkedIn<\/a>, Medio<\/a> o YouTube<\/a><\/strong><\/p>","protected":false},"excerpt":{"rendered":"


\nDear readers & clients,<\/p>\n

As we celebrate the dawn of another year, it’s a great occasion to reflect on Quantpedia’s journey in the previous 12 months. While 2023 certainly had its own share of challenges, luckily, the movements in financial markets were not as seismic as during the events that unfolded in 2022. As always, I am really proud of my\u00a0whole team\u00a0for their work as we continue fulfilling our\u00a0primary mission<\/strong><\/a>\u00a0to process academic research related to quant & algo trading to a more user-friendly form.<\/p>\n

So, what are the main highlights?
\n<\/strong><\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-31431","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts\/31431","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/comments?post=31431"}],"version-history":[{"count":0,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts\/31431\/revisions"}],"wp:attachment":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/media?parent=31431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/categories?post=31431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/tags?post=31431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}