Improving inefficiencies can lead to business opportunities<\/b>\u00a0<\/p>\n
VIENNA, Va.<\/span><\/span>, Feb. 19, 2025<\/span><\/span> \/PRNewswire\/ — When an improved method provides value, customers are willing to pay for it.<\/b>\u00a0 Finit Co., Ltd.<\/b><\/a>,<\/a> which developed order flow analytics and expanded to the U.S. market through its subsidiary,\u00a0TradePulse Technologies, Inc.<\/b><\/a>,<\/a> recently sold its Korean stock flow data to a major U.S. top tier high-frequency\/ algorithmic trading hedge fund<\/b>. With its AI-inferred proprietary algorithm, Finit<\/b> developed major solutions for two separate markets.<\/p>\n Their core technology analyzes real-time trading patterns to predict stock trend reversals<\/b> using AI trained on 15 years of historical data<\/b>. Currently, the AI utilizes hundreds of thousands of trade patterns<\/b> to forecast stock movements. For instance, if someone buys 100 shares of Samsung Electronics every minute for two hours<\/b>, combining this with other characteristics, the system can infer<\/b> which foreign brokerage is making the purchase. With AI-driven pattern analysis, feature detection, and inference engines, Finit processes hundreds of thousands of trade signals in real time. <\/b><\/p>\n In the Korean stock market, investors often wonder who <\/b>(foreign investors, institutions, or individuals) is buying or selling stocks when making trading decisions. While brokerage trading platforms provide categorized transaction data, they are typically delayed until after 6 PM<\/span>, well after the market has closed. Only after the market has closed, brokerage firms manually input trading data for foreign investors and institutions. With Finit<\/b>‘s PowerMap<\/b> integrated into Korean brokerage apps, users can see real-time predictive trading volumes by category.<\/p>\n With experts capable of implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, Finit<\/b> was able to develop the PowerMap <\/b>which processes and delivers large-scale transactions in real time. Processing large volumes of stock transactions instantly requires powerful data processing capabilities. Finit<\/b> receives direct trade data from exchanges<\/b> and analyzes buy and sell signals for approximately 1,000 stocks in real time<\/b> (covering KOSPI stocks with a market cap over 200 billion KRW<\/span> ($133.38 M<\/span>) and KOSDAQ stocks over 150 billion KRW<\/span> ($103.81 M<\/span>)<\/b> .<\/p>\n Currently, Finit<\/b>‘s service PoweMap<\/b> is available through Korean brokerage apps<\/b>. However, the company aims to expand to U.S. retail investors<\/b>, signing contracts with Interactive Brokers, Tradier Brokerage, Quasar Markets, and Cobra Trading <\/b>to develop tailored solutions such as TradePulse<\/b> for American investors.<\/p>\n Traditional trading indicators often fail to capture the true market dynamics, relying heavily on past price movements rather than real-time transaction flows. This creates blind spots, especially in fast-moving markets where institutional orders and algorithmic trades can drastically shift stock prices. By processing vast amounts of stock transaction data at high speed and applying AI-driven inference models, TradePulse<\/b> eliminates these gaps, providing both institutional and retail traders with order flow data in real time, accurately identifying market orders and volumes.<\/p>\n TradePulse, <\/b>a leading provider of innovative order flow analytics through its proprietary AI-driven algorithm, analyzes over 4,000 U.S. stocks<\/b>, including Apple, Microsoft, NVIDIA, and Amazon.<\/p>\n “Unlike Korea, U.S. exchanges do not categorize trading data by foreign and institutional investors. Instead, we developed indicators such as large trade volume and buy intensity to predict stock trends.”<\/b><\/p>\n For example, if buy intensity and large transactions increase simultaneously within a minute, there is an 84% chance the stock price will rise within three minutes<\/b>.<\/p>\n Although stock prices may only rise by an average of 1.2% per day<\/b>, and accuracy is not 100%, TradePulse<\/b> provides investors with an additional key metric for decision-making<\/b>.<\/p>\n **About TradePulse** <\/b><\/p>\n TradePulse Technologies, Inc. is a leading provider of innovative trading solutions, specializing in order flow analytics. With eight partner companies and no lost partnerships, TradePulse’s technology is highly trusted. The company boasts 2 million page views per day and serves 400,000 users, underscoring its significant market presence and the value it provides to investors.<\/b><\/p>\n X<\/b><\/a>\u00a0| <\/b>LinkedIn<\/b><\/a><\/p>","protected":false},"excerpt":{"rendered":" <\/p>\n Improving inefficiencies can lead to business opportunities<\/b>\u00a0<\/p>\n VIENNA, Va.<\/span><\/span>, Feb. 19, 2025<\/span><\/span> \/PRNewswire\/ — When an improved method provides value, customers are willing to pay for it.<\/b>\u00a0 Finit Co., Ltd.<\/b><\/a>,<\/a> which developed order flow analytics and expanded to the U.S. market through its subsidiary,\u00a0TradePulse Technologies, Inc.<\/b><\/a>,<\/a> recently sold its Korean stock flow data to a major U.S. top tier high-frequency\/ algorithmic trading hedge fund<\/b>. With its AI-inferred proprietary algorithm, Finit<\/b> developed major solutions for two separate markets.<\/p>\n Their core technology analyzes real-time trading patterns to predict stock trend reversals<\/b> using AI trained on 15 years of historical data<\/b>. Currently, the AI utilizes hundreds of thousands of trade patterns<\/b> to forecast stock movements. For instance, if someone buys 100 shares of Samsung Electronics every minute for two hours<\/b>, combining this with other characteristics, the system can infer<\/b> which foreign brokerage is making the purchase. With AI-driven pattern analysis, feature detection, and inference engines, Finit processes hundreds of thousands of trade signals in real time. <\/b><\/p>\n In the Korean stock market, investors often wonder who <\/b>(foreign investors, institutions, or individuals) is buying or selling stocks when making trading decisions. While brokerage trading platforms provide categorized transaction data, they are typically delayed until after 6 PM<\/span>, well after the market has closed. Only after the market has closed, brokerage firms manually input trading data for foreign investors and institutions. With Finit<\/b>‘s PowerMap<\/b> integrated into Korean brokerage apps, users can see real-time predictive trading volumes by category.<\/p>\n With experts capable of implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, Finit<\/b> was able to develop the PowerMap <\/b>which processes and delivers large-scale transactions in real time. Processing large volumes of stock transactions instantly requires powerful data processing capabilities. Finit<\/b> receives direct trade data from exchanges<\/b> and analyzes buy and sell signals for approximately 1,000 stocks in real time<\/b> (covering KOSPI stocks with a market cap over 200 billion KRW<\/span> ($133.38 M<\/span>) and KOSDAQ stocks over 150 billion KRW<\/span> ($103.81 M<\/span>)<\/b> .<\/p>\n Currently, Finit<\/b>‘s service PoweMap<\/b> is available through Korean brokerage apps<\/b>. However, the company aims to expand to U.S. retail investors<\/b>, signing contracts with Interactive Brokers, Tradier Brokerage, Quasar Markets, and Cobra Trading <\/b>to develop tailored solutions such as TradePulse<\/b> for American investors.<\/p>\n Traditional trading indicators often fail to capture the true market dynamics, relying heavily on past price movements rather than real-time transaction flows. This creates blind spots, especially in fast-moving markets where institutional orders and algorithmic trades can drastically shift stock prices. By processing vast amounts of stock transaction data at high speed and applying AI-driven inference models, TradePulse<\/b> eliminates these gaps, providing both institutional and retail traders with order flow data in real time, accurately identifying market orders and volumes.<\/p>\n TradePulse, <\/b>a leading provider of innovative order flow analytics through its proprietary AI-driven algorithm, analyzes over 4,000 U.S. stocks<\/b>, including Apple, Microsoft, NVIDIA, and Amazon.<\/p>\n “Unlike Korea, U.S. exchanges do not categorize trading data by foreign and institutional investors. Instead, we developed indicators such as large trade volume and buy intensity to predict stock trends.”<\/b><\/p>\n For example, if buy intensity and large transactions increase simultaneously within a minute, there is an 84% chance the stock price will rise within three minutes<\/b>.<\/p>\n Although stock prices may only rise by an average of 1.2% per day<\/b>, and accuracy is not 100%, TradePulse<\/b> provides investors with an additional key metric for decision-making<\/b>.<\/p>\n **About TradePulse** <\/b><\/p>\n TradePulse Technologies, Inc. is a leading provider of innovative trading solutions, specializing in order flow analytics. With eight partner companies and no lost partnerships, TradePulse’s technology is highly trusted. The company boasts 2 million page views per day and serves 400,000 users, underscoring its significant market presence and the value it provides to investors.<\/b><\/p>\n X<\/b><\/a>\u00a0| <\/b>LinkedIn<\/b><\/a><\/p>\n <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-18153","post","type-post","status-publish","format-standard","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/18153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18153"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/18153\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
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