{"id":21839,"date":"2021-08-05T21:34:14","date_gmt":"2021-08-05T19:34:14","guid":{"rendered":"https:\/\/www.raulbartolome.com\/?post_type=product&#038;p=21839"},"modified":"2026-04-16T09:24:57","modified_gmt":"2026-04-16T07:24:57","slug":"literature-reviewing-for-algorithmic-trading","status":"publish","type":"product","link":"https:\/\/raulbartolome.com\/es\/producto\/literature-reviewing-for-algorithmic-trading\/","title":{"rendered":"Revisi\u00f3n de literatura para el comercio algor\u00edtmico"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>La investigaci\u00f3n sobre el comercio algor\u00edtmico es importante debido a su predominio en la industria financiera. En 2019, un gran porcentaje del capital negociado en EE. UU. se realiz\u00f3 mediante algoritmos automatizados, lo que representa 35,1% de $32 billones con un crecimiento anual esperado de 8,7% durante el per\u00edodo 2020 - 2027.<\/p>\n<p>El tema es particularmente desafiante porque se encuentra entre tres cuerpos de conocimiento: econom\u00eda, matem\u00e1ticas e inform\u00e1tica. As\u00ed mismo, presenta muchos temas, solo por mencionar algunos. Primero, su complejidad es una barrera de entrada para cualquier inversionista minorista o peque\u00f1a empresa, pero bien aprovechada por los inversionistas institucionales. En segundo lugar, la cantidad de estrategias comerciales y la informaci\u00f3n asociada es enorme, lo que dificulta elegirlas. En tercer lugar, las necesidades de inversi\u00f3n son idiosincr\u00e1sicas y, en consecuencia, no existe una estrategia comercial que sea la mejor para todos.<\/p>\n<p>El prop\u00f3sito de este curso es articular una revisi\u00f3n cr\u00edtica y sistem\u00e1tica de la literatura sobre el comercio algor\u00edtmico. La literatura existente es vasta, compleja y dispersa en tres campos acad\u00e9micos, inexorablemente, este estudio es un ingenuo intento de construir una visi\u00f3n hol\u00edstica y comprensiva del tema. El primer bloque de la revisi\u00f3n aborda el sustento te\u00f3rico a trav\u00e9s de la escuela de pensamiento neocl\u00e1sica y de las finanzas conductuales. El comercio algor\u00edtmico est\u00e1 fuertemente influenciado por las finanzas neocl\u00e1sicas, con un v\u00edvido debate sobre si los mercados son eficientes y, en consecuencia, coherentes con la hip\u00f3tesis del paseo aleatorio (RWH) y la hip\u00f3tesis del mercado eficiente (EMH); o, por el contrario, los mercados son ineficientes, presentando alg\u00fan tipo de tendencia, posiblemente, debido a un sesgo psicol\u00f3gico, como el comportamiento escuchado o la brecha emocional, como lo describen las finanzas conductuales. Inevitable, la secci\u00f3n de base te\u00f3rica conduce al segundo bloque, la literatura comercial algor\u00edtmica per se. Aqu\u00ed, el autor revisa parcialmente once libros de texto, evidencia el lenguaje de programaci\u00f3n elegido y se conecta a dos cap\u00edtulos pivote; backtesting como metodolog\u00eda para evaluar algoritmos con datos financieros hist\u00f3ricos, y estrategias comerciales de la literatura m\u00e1s actual.<\/p>\n<p>Este manuscrito sienta las bases para una revisi\u00f3n completa de la literatura de una tesis de DBA sobre el mismo tema. La evoluci\u00f3n natural podr\u00eda incluir literatura financiera conductual cuantitativa, que utiliza herramientas matem\u00e1ticas para modelar los sesgos conductuales con una aplicaci\u00f3n potencial a los algoritmos comerciales. Una segunda oportunidad podr\u00eda consistir en una clasificaci\u00f3n sistem\u00e1tica de algoritmos por categor\u00edas (p. ej. impulso, reversi\u00f3n a la media, inversi\u00f3n de valor, etc.) y resultados estad\u00edsticos (p. ej. retorno de la inversi\u00f3n, crecimiento anual compuesto, ratio de Sharpe, etc.), pero tiene el riesgo de convertir la revisi\u00f3n de literatura en una biblioteca comercial algor\u00edtmica (por ejemplo, Quantpedia) y ciertamente desviarse del prop\u00f3sito de una revisi\u00f3n de literatura.<\/p>\n<p>El cuerpo de este trabajo se divide en dos bloques, el cap\u00edtulo 2 Bases te\u00f3ricas y el cap\u00edtulo 3 Negociaci\u00f3n algor\u00edtmica. El fundamento te\u00f3rico del cap\u00edtulo 2 est\u00e1 estructurado en dos partes, el cap\u00edtulo 2.1 Finanzas neocl\u00e1sicas, que muestra los dos pilares de las finanzas neocl\u00e1sicas, RWH y EMH; y el cap\u00edtulo 2.2 Finanzas conductuales, que captura el sesgo psicol\u00f3gico m\u00e1s influyente en los mercados financieros. El cap\u00edtulo 3 Comercio algor\u00edtmico contiene una extensa lista de literatura relacionada, as\u00ed mismo, tiene dos partes distintivas, el cap\u00edtulo 3.1 Backtesting, con los desaf\u00edos y trampas del backtesting; y el cap\u00edtulo 3.2 Estrategias de negociaci\u00f3n, con un n\u00famero breve pero representativo de estrategias clasificadas en reversi\u00f3n a la media, impulso e inteligencia artificial. El estudio finaliza con el cap\u00edtulo 4 Conclusi\u00f3n, con una s\u00edntesis anal\u00edtica de los aspectos m\u00e1s importantes de esta literatura revisando el trabajo de curso.<\/p>","protected":false},"featured_media":21842,"comment_status":"open","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"0","ocean_second_sidebar":"0","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"0","ocean_custom_header_template":"0","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"0","ocean_menu_typo_font_family":"0","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"enable","ocean_disable_heading":"enable","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"background-image","ocean_post_title_background_color":"","ocean_post_title_background":21631,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"0","osh_disable_topbar_sticky":"default","osh_disable_header_sticky":"default","osh_sticky_header_style":"default","osh_sticky_header_effect":"","osh_custom_sticky_logo":0,"osh_custom_retina_sticky_logo":0,"osh_custom_sticky_logo_height":0,"osh_background_color":"","osh_links_color":"","osh_links_hover_color":"","osh_links_active_color":"","osh_links_bg_color":"","osh_links_hover_bg_color":"","osh_links_active_bg_color":"","osh_menu_social_links_color":"","osh_menu_social_hover_links_color":""},"product_brand":[],"product_cat":[356],"product_tag":[861,888,860],"class_list":{"0":"post-21839","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-finance","7":"product_tag-academic","8":"product_tag-algorithmic-trading","9":"product_tag-dba","11":"entry","12":"has-media","14":"first","15":"instock","16":"downloadable","17":"virtual","18":"taxable","19":"purchasable","20":"product-type-simple","21":"col","22":"span_1_of_3","23":"owp-content-center","24":"owp-thumbs-layout-horizontal","25":"owp-btn-normal","26":"owp-tabs-layout-section","27":"has-no-thumbnails"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Literature reviewing for algorithmic trading - Ra\u00fal Bartolom\u00e9<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/raulbartolome.com\/es\/producto\/literature-reviewing-for-algorithmic-trading\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Literature reviewing for algorithmic trading - Ra\u00fal Bartolom\u00e9\" \/>\n<meta property=\"og:description\" content=\"The research about algorithmic trading is important due to its predominance in the financial industry. In 2019 a big percentage of the traded equity in US was performed by automated algorithms, that represents 35.1% of $32 trillion with an expected annual growth of 8.7% over the period 2020 - 2027.  The subject is particularly challenging because it falls between three bodies of knowledge: economics, mathematics, and computer science. Likewise, presents many issues, just to mention some. First, its complexity is an entry barrier for any retail investor or small enterprise, but well-exploited by institutional investors. Second, the number of trading strategies and associated information is tremendous, what makes difficult to choose them. Third, the investment needs are idiosyncratic and consequently does not exist a trading strategy that is the best for everyone.  The purpose of this coursework is to articulate a critical and systematic literature reviewing about algorithmic trading. The existing literature is vast, complex, and scattered in three academic fields, inexorably, this study is a naive attempt to build a holistic and comprehensive overview of the subject. The first block of the review tackles the theoretical underpinning through the neoclassical and behavioural finance school of thought. Algorithmic trading is strongly influenced by neoclassical finance, with a vivid debate whether the markets are efficient, and consequently coherent with random walk hypothesis (RWH) and efficient market hypothesis (EMH); or, to the contrary, the markets are inefficient, presenting some sort of trend, arguably, due to phycological bias, like heard behaviour or emotional gap, as described by the behavioural finance. Inevitable, the theoretical underpinning section, leads to the second block, the algorithmic trading literature per se. Here, the author partially reviews eleven textbooks, evidencing the programming language of choice, and connecting to two pivot chapters; backtesting as methodology to evaluate algorithm with historical financial data, and trading strategies from the most actual literature.  This manuscript sets the foundation for a complete literature review of a DBA thesis about the same subject. The natural evolution might include quantitative behavioural finance literature, that uses mathematical tools to model the behavioural biases with potential application to trading algorithms. A second opportunity could consist in a systematic classification of algorithms by categories (e.g. \u00a0momentum, mean-reverting, value investment, etc.) and statistical results (E.g. return of investment, compound annual growth, Sharpe ratio, etc.), but it has the risk to convert the literature reviewing in an algorithmic trading library (E.g. Quantpedia) and certainly deviating from the purpose of a literature reviewing.  The body of this work is divided in two blocks, chapter 2 Theoretical underpinning and chapter 3 Algorithmic trading. The chapter 2 Theoretical underpinning is structured in two parts, chapter 2.1 Neoclassical finance, showcasing the two pillars of neoclassical finance, RWH and EMH; and chapter 2.2 Behavioural finance, capturing the most influential phycological bias in the financial markets. The chapter 3 Algorithmic trading contains an extensive list of related literature, likewise, holds two distinctive parts, chapter 3.1 Backtesting , with the challenges and pitfalls of backtesting; and chapter 3.2 Trading strategies, with a short, but representative number of strategies classified in mean-reverting, momentum and artificial intelligence. The study ends with the chapter 4 Conclusion, with an analytic synthesis of the most important aspects of this literature reviewing coursework.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/raulbartolome.com\/es\/producto\/literature-reviewing-for-algorithmic-trading\/\" \/>\n<meta property=\"og:site_name\" content=\"Ra\u00fal Bartolom\u00e9\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/rbartolomecastro\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-16T07:24:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/raulbartolome.com\/wp-content\/uploads\/2021\/08\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png\" \/>\n\t<meta property=\"og:image:width\" content=\"902\" \/>\n\t<meta property=\"og:image:height\" content=\"1332\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@raulbartolome\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/\",\"url\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/\",\"name\":\"Literature reviewing for algorithmic trading - Ra\u00fal Bartolom\u00e9\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png\",\"datePublished\":\"2021-08-05T19:34:14+00:00\",\"dateModified\":\"2026-04-16T07:24:57+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/#primaryimage\",\"url\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png\",\"contentUrl\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2021\\\/08\\\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png\",\"width\":902,\"height\":1332},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/product\\\/literature-reviewing-for-algorithmic-trading\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Ra\u00fal Bartolom\u00e9\",\"item\":\"https:\\\/\\\/raulbartolome.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Downloads\",\"item\":\"https:\\\/\\\/raulbartolome.com\\\/downloads\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Finance\",\"item\":\"https:\\\/\\\/raulbartolome.com\\\/product-category\\\/finance\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Literature reviewing for algorithmic trading\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/#website\",\"url\":\"https:\\\/\\\/raulbartolome.com\\\/\",\"name\":\"Ra\u00fal Bartolom\u00e9\",\"description\":\"Engineering, Management and Finance\",\"publisher\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/#\\\/schema\\\/person\\\/728a70a0ee01a96dc17e5dd8c5f8e95e\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/raulbartolome.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/#\\\/schema\\\/person\\\/728a70a0ee01a96dc17e5dd8c5f8e95e\",\"name\":\"Ra\u00fal Bartolom\u00e9\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2020\\\/02\\\/Raul-Bartolome-IMG_1090-2.jpeg\",\"url\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2020\\\/02\\\/Raul-Bartolome-IMG_1090-2.jpeg\",\"contentUrl\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2020\\\/02\\\/Raul-Bartolome-IMG_1090-2.jpeg\",\"width\":640,\"height\":640,\"caption\":\"Ra\u00fal Bartolom\u00e9\"},\"logo\":{\"@id\":\"https:\\\/\\\/raulbartolome.com\\\/wp-content\\\/uploads\\\/2020\\\/02\\\/Raul-Bartolome-IMG_1090-2.jpeg\"},\"sameAs\":[\"https:\\\/\\\/raulbartolome.com\\\/\",\"https:\\\/\\\/www.facebook.com\\\/rbartolomecastro\",\"https:\\\/\\\/www.instagram.com\\\/rbartolomec\\\/\",\"https:\\\/\\\/www.linkedin.com\\\/in\\\/rbartolomecastro\",\"https:\\\/\\\/x.com\\\/raulbartolome\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCY7Pef7CeZf-8t9ALthQRqA\\\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Revisi\u00f3n de la literatura sobre trading algor\u00edtmico - Ra\u00fal Bartolom\u00e9","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/raulbartolome.com\/es\/producto\/literature-reviewing-for-algorithmic-trading\/","og_locale":"es_ES","og_type":"article","og_title":"Literature reviewing for algorithmic trading - Ra\u00fal Bartolom\u00e9","og_description":"The research about algorithmic trading is important due to its predominance in the financial industry. In 2019 a big percentage of the traded equity in US was performed by automated algorithms, that represents 35.1% of $32 trillion with an expected annual growth of 8.7% over the period 2020 - 2027.  The subject is particularly challenging because it falls between three bodies of knowledge: economics, mathematics, and computer science. Likewise, presents many issues, just to mention some. First, its complexity is an entry barrier for any retail investor or small enterprise, but well-exploited by institutional investors. Second, the number of trading strategies and associated information is tremendous, what makes difficult to choose them. Third, the investment needs are idiosyncratic and consequently does not exist a trading strategy that is the best for everyone.  The purpose of this coursework is to articulate a critical and systematic literature reviewing about algorithmic trading. The existing literature is vast, complex, and scattered in three academic fields, inexorably, this study is a naive attempt to build a holistic and comprehensive overview of the subject. The first block of the review tackles the theoretical underpinning through the neoclassical and behavioural finance school of thought. Algorithmic trading is strongly influenced by neoclassical finance, with a vivid debate whether the markets are efficient, and consequently coherent with random walk hypothesis (RWH) and efficient market hypothesis (EMH); or, to the contrary, the markets are inefficient, presenting some sort of trend, arguably, due to phycological bias, like heard behaviour or emotional gap, as described by the behavioural finance. Inevitable, the theoretical underpinning section, leads to the second block, the algorithmic trading literature per se. Here, the author partially reviews eleven textbooks, evidencing the programming language of choice, and connecting to two pivot chapters; backtesting as methodology to evaluate algorithm with historical financial data, and trading strategies from the most actual literature.  This manuscript sets the foundation for a complete literature review of a DBA thesis about the same subject. The natural evolution might include quantitative behavioural finance literature, that uses mathematical tools to model the behavioural biases with potential application to trading algorithms. A second opportunity could consist in a systematic classification of algorithms by categories (e.g. \u00a0momentum, mean-reverting, value investment, etc.) and statistical results (E.g. return of investment, compound annual growth, Sharpe ratio, etc.), but it has the risk to convert the literature reviewing in an algorithmic trading library (E.g. Quantpedia) and certainly deviating from the purpose of a literature reviewing.  The body of this work is divided in two blocks, chapter 2 Theoretical underpinning and chapter 3 Algorithmic trading. The chapter 2 Theoretical underpinning is structured in two parts, chapter 2.1 Neoclassical finance, showcasing the two pillars of neoclassical finance, RWH and EMH; and chapter 2.2 Behavioural finance, capturing the most influential phycological bias in the financial markets. The chapter 3 Algorithmic trading contains an extensive list of related literature, likewise, holds two distinctive parts, chapter 3.1 Backtesting , with the challenges and pitfalls of backtesting; and chapter 3.2 Trading strategies, with a short, but representative number of strategies classified in mean-reverting, momentum and artificial intelligence. The study ends with the chapter 4 Conclusion, with an analytic synthesis of the most important aspects of this literature reviewing coursework.","og_url":"https:\/\/raulbartolome.com\/es\/producto\/literature-reviewing-for-algorithmic-trading\/","og_site_name":"Ra\u00fal Bartolom\u00e9","article_publisher":"https:\/\/www.facebook.com\/rbartolomecastro","article_modified_time":"2026-04-16T07:24:57+00:00","og_image":[{"width":902,"height":1332,"url":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2021\/08\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@raulbartolome","twitter_misc":{"Tiempo de lectura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/","url":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/","name":"Revisi\u00f3n de la literatura sobre trading algor\u00edtmico - Ra\u00fal Bartolom\u00e9","isPartOf":{"@id":"https:\/\/raulbartolome.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/#primaryimage"},"image":{"@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/#primaryimage"},"thumbnailUrl":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2021\/08\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png","datePublished":"2021-08-05T19:34:14+00:00","dateModified":"2026-04-16T07:24:57+00:00","breadcrumb":{"@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/#primaryimage","url":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2021\/08\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png","contentUrl":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2021\/08\/3_Literature_Reviewing_for_Doctoral_Studies_Cover.png","width":902,"height":1332},{"@type":"BreadcrumbList","@id":"https:\/\/raulbartolome.com\/product\/literature-reviewing-for-algorithmic-trading\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Ra\u00fal Bartolom\u00e9","item":"https:\/\/raulbartolome.com\/"},{"@type":"ListItem","position":2,"name":"Downloads","item":"https:\/\/raulbartolome.com\/downloads\/"},{"@type":"ListItem","position":3,"name":"Finance","item":"https:\/\/raulbartolome.com\/product-category\/finance\/"},{"@type":"ListItem","position":4,"name":"Literature reviewing for algorithmic trading"}]},{"@type":"WebSite","@id":"https:\/\/raulbartolome.com\/#website","url":"https:\/\/raulbartolome.com\/","name":"Ra\u00fal Bartolom\u00e9","description":"Ingenier\u00eda, Gesti\u00f3n y Finanzas","publisher":{"@id":"https:\/\/raulbartolome.com\/#\/schema\/person\/728a70a0ee01a96dc17e5dd8c5f8e95e"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/raulbartolome.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":["Person","Organization"],"@id":"https:\/\/raulbartolome.com\/#\/schema\/person\/728a70a0ee01a96dc17e5dd8c5f8e95e","name":"Ra\u00fal Bartolom\u00e9","image":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2020\/02\/Raul-Bartolome-IMG_1090-2.jpeg","url":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2020\/02\/Raul-Bartolome-IMG_1090-2.jpeg","contentUrl":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2020\/02\/Raul-Bartolome-IMG_1090-2.jpeg","width":640,"height":640,"caption":"Ra\u00fal Bartolom\u00e9"},"logo":{"@id":"https:\/\/raulbartolome.com\/wp-content\/uploads\/2020\/02\/Raul-Bartolome-IMG_1090-2.jpeg"},"sameAs":["https:\/\/raulbartolome.com\/","https:\/\/www.facebook.com\/rbartolomecastro","https:\/\/www.instagram.com\/rbartolomec\/","https:\/\/www.linkedin.com\/in\/rbartolomecastro","https:\/\/x.com\/raulbartolome","https:\/\/www.youtube.com\/channel\/UCY7Pef7CeZf-8t9ALthQRqA\/"]}]}},"_links":{"self":[{"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/product\/21839","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/comments?post=21839"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/media\/21842"}],"wp:attachment":[{"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/media?parent=21839"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/product_brand?post=21839"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/product_cat?post=21839"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/raulbartolome.com\/es\/wp-json\/wp\/v2\/product_tag?post=21839"}],"curies":[{"name":"gracias","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}