{"id":32146,"date":"2024-06-05T00:00:47","date_gmt":"2024-06-05T00:00:47","guid":{"rendered":"https:\/\/shamiana.talentfirsterp.com\/village\/?p=32146"},"modified":"2024-11-12T11:25:07","modified_gmt":"2024-11-12T11:25:07","slug":"smart-order-router-definition-what-does-smart","status":"publish","type":"post","link":"https:\/\/shamiana.talentfirsterp.com\/village\/2024\/06\/05\/smart-order-router-definition-what-does-smart\/","title":{"rendered":"Smart Order Router Definition What Does Smart Order Router Mean IG International"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">How do you close out your SOR orders in case of intraday trades?<\/a><\/li>\n<li><a href=\"#toc-1\">Volume-weighted average price (vwap) smart order route:<\/a><\/li>\n<li><a href=\"#toc-2\">Deep Reinforcement Learning for Smart Order Routers and DEX Aggregators<\/a><\/li>\n<\/ul>\n<\/div>\n<p>Thus, with this AI-driven tool, the algorithm can change or adapt as per the volume and direction of trade. When the amount traded is greater than A, SOR will start including pool 2 in the solution, as not doing so would mean the trader is trading some amount (Ai \u2014 A) for <a href=\"https:\/\/www.xcritical.com\/blog\/smart-order-routing-role-of-the-smart-order-router-in-trading\/\">order routing to access global markets<\/a> a higher price than they could with pool 2. The phrase \u2018smart order router\u2019 can be broken down into its constituent parts for some insight into its meaning.<\/p>\n<h2 id=\"toc-0\">How do you close out your SOR orders in case of intraday trades?<\/h2>\n<p>A Smart Order Router (SOR) is software used by banks and brokers to optimize execution by using advanced routing rules and algorithms when directing orders to multiple trading venues. SORs have long been <a href=\"https:\/\/www.xcritical.com\/\">https:\/\/www.xcritical.com\/<\/a> a key technology for equities, but will become important across all asset classes. We use smart order routing (SOR) technology to search for liquidity across multiple venues, starting with &#8216;dark pools&#8217; that offer mid-point matching \u2013 giving you the best possible chance of getting price improvements. IG uses smart order routing (SOR) technology to search for liquidity across multiple venues, starting with &#8216;dark pools&#8217; that offer mid-point matching \u2013 meaning you get the best possible chance of price improvements. Smart order routers help address liquidity fragmentation by aggregating liquidity from multiple venues.<\/p>\n<h2 id=\"toc-1\">Volume-weighted average price (vwap) smart order route:<\/h2>\n<p>A visible light communication (VLC) system is one type of indoor positioning system that allows warehouse workers to quickly identify objects and people. While the ACO-based smart order routing solution uses VLC, there are other types of indoor positioning systems on the market. Most major institutional investors and brokers use a smart order router to automatically find the best possible prices for trades as quickly as possible. SOR is an automated process of handling orders, aimed at taking the best available price throughout a range of different trading venues.<\/p>\n<h2 id=\"toc-2\">Deep Reinforcement Learning for Smart Order Routers and DEX Aggregators<\/h2>\n<p>The routing algorithm plays a critical role in NoC systems, as it is responsible for balancing traffic load across network channels, even in scenarios of asymmetric traffic distribution. This paper introduces a model for X-Y routing algorithms, specifically tailored for implementation on FPGA platforms utilizing a flexible state diagram. 9 from the paper, illustrating the average performance metrics of different QoS methods over 100 experiments, including LCASO-MTRM, CWOA-MTRM, IABC-MTRM, and IPSO-MTRM.<\/p>\n<ul>\n<li>Rather than being your own order router and spending hours determining where each and every order should go, an AOR system can send orders to the most optimal fulfillment locations in an instant.<\/li>\n<li>The effectiveness of LCASO-MTRM is demonstrated through simulation comparisons with the Improved Particle Swarm Optimization (IPSO), Improved Artificial Bee Colony Algorithm (IABC), and Cloned Whale Optimization Algorithm (CWOA).<\/li>\n<li>It is worth noting that there are many other representations of spaces which can be used in pathfinding, such as grids, 2D or 3D spaces, or even more abstract data structures such as octrees and quadtrees.<\/li>\n<li>In this case, a smart order route may prioritise the fastest execution venues to minimise the risk of missing out on the opportunity.<\/li>\n<li>The fitness values of each generation are stored in a one-dimensional array, by which the evolved paths are tracked, and a lower fitness value represents a better routing scheme.<\/li>\n<li>Scholars have leveraged swarm intelligence algorithms in tandem with QoS constraints to tackle routing issues in WSNs in recent years.<\/li>\n<li>An example reward function for a DRL agent learning to play the game Snake might reward the agent for closing the distance between the snake\u2019s head and apple, and penalize the agent for crashing into itself or walls.<\/li>\n<\/ul>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\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width=\"302px\" alt=\"smart order routing algorithms\"\/><\/p>\n<p>Liquidity aggregators are free to use the SOR npm package or create their own order routing across pools. SOR exists in the Bronze release as a way to aggregate liquidity across all Balancer pools. Future releases of Balancer will accomplish this on-chain and allow aggregate contract fillable liquidity.<\/p>\n<p>Pathfinding is the computational field of identifying the shortest route between two points. Pathfinding algorithms are used across many industries and applications including search engines, video games, GPS navigation software, and robotics, to name a few. The AI economist (Zheng et al., 2022) introduced by Salesforce AI is a Reinforcement Learning (RL) system that outperforms Alternative Tax Systems by learning dynamic tax policies to maximize equality and productivity in simulated economies.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"300px\" alt=\"smart order routing algorithms\"\/><\/p>\n<p>After rigorous experimentation, the optimal configuration is determined with a chaos factor (\\(\\mu\\)) of 0.99 and a stability parameter of 1.5 for the Levy flight. To tackle energy consumption and QoS routing constraints in WSNs, a novel LCASO is introduced in this study. The algorithm combines SO with Levy flight strategy, an enhanced Sine chaotic operator, and an adaptive operator. The research and widespread application of WSNs have intensified in recent years, underscoring the growing urgency of enhancing communication quality and operational efficiency in this domain. Within sensor networks, the assurance of QoS has become paramount, driven by their versatile use across various sectors, including environmental monitoring, healthcare, intelligent transportation, and more.<\/p>\n<p>In computer science, pathfinding is most commonly represented using graphs-sets of connected nodes. (Liu, 2015) has proposed a Shortfall (IS) strategy using an agent-based simulation technique. The author focused to create an artificial stock market to analyze the optimal execution strategies. Mechanisms for order formation, market clearing, and information dissemination are also developed for that market. (Xu, 2015) has proposed a continuous-time, partial equilibrium model on the optimal strategies of HFTs without any learning or manipulative ingredients to rationalize the pinging activities that were observed in the data.<\/p>\n<p>These features include reorder point notifications and automatic reordering to ensure that you\u2019re stocking up on time. While there are many ways to tackle order routing, there\u2019s usually a logic to it that lets you maximize efficiency, shorten an order\u2019s transit time, and minimize shipping costs. To apply that logic quickly and effortlessly, many brands leverage an automated order routing system. With the Odos Router, not only do you gain secure and simplified access to the diverse DeFi ecosystem, but you also benefit from the assurance of price protection.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"306px\" alt=\"smart order routing algorithms\"\/><\/p>\n<p>In this case, a smart order route may prioritise the fastest execution venues to minimise the risk of missing out on the opportunity. Before diving into smart order routing, it&#8217;s essential to understand the concept of a &#8220;route&#8221; in the stock market. In simple terms, a route refers to the pathway that a trader&#8217;s order takes from initiation to execution. These routes can vary in complexity, and the choice of route can have a significant impact on the outcome of the trade. Automated order routing systems rely on real-time inventory tracking functionality to achieve the most up-to-date data on stock levels across multiple fulfillment centers. This level of visibility allows the system to make routing decisions according to stock availability.<\/p>\n<p>For example, a node may only be accessible temporarily, or the weight of an edge may not be constant over time. Temporal graphs are a relatively recent development in graph theory, and can dramatically increase the complexity of tasks such as graph traversal. Temporal graphs are somewhat of an emerging field and are quite complex in nature, for further reading on the topic, here is a good resource that explores them in depths beyond the scope of this article.<\/p>\n<p>Due to innumerable trading venues or platforms for investing, there is liquidity fragmentation. Therefore, it is necessary to have a system that will show the best price available to trade automatically. It has gained popularity very fast, especially among institutional investors who trade in huge volumes and want to minimize the risk of the same.<\/p>\n<p>Rather than putting the customer on backorder until restocking, the automated order system can see in real-time which locations do have the item in stock, and route the order to one of those. When a brand uses an automated order routing system, they configure a rule-based algorithm that evaluates each order based on certain characteristics or circumstances, and which then determines the fulfillment center the order is sent to. The analysis in this material is provided for information only and is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security. To the extent that this material discusses general market activity, industry or sector trends or other broad-based economic or political conditions, it should not be construed as research or investment advice.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content How do you close out your SOR orders in case of intraday trades? Volume-weighted average price (vwap) smart order route: Deep Reinforcement Learning for Smart Order Routers and DEX Aggregators Thus, with this AI-driven tool, the algorithm can change or adapt as per the volume and direction of trade. When the amount traded is..<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[152],"tags":[],"_links":{"self":[{"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/posts\/32146"}],"collection":[{"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/comments?post=32146"}],"version-history":[{"count":1,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/posts\/32146\/revisions"}],"predecessor-version":[{"id":32147,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/posts\/32146\/revisions\/32147"}],"wp:attachment":[{"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/media?parent=32146"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/categories?post=32146"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shamiana.talentfirsterp.com\/village\/wp-json\/wp\/v2\/tags?post=32146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}