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DTSTART:20260308T030000
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DTSTAMP:20260507T142044Z
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DTSTART;TZID=America/Los_Angeles:20260507T120000
DTEND;TZID=America/Los_Angeles:20260507T130000
DESCRIPTION:Join us for an exciting student research presentation!\nCome su
 pport and learn from students as they share their work\, there will be mul
 tiple presentations happening throughout the day.\nSnacks and lunch will b
 e provided\, so bring your curiosity (and your appetite)!\nWe’d love to 
 see you there!\n\n12:00 pm - 12:30 pm | AlgoTrade & XGBoost: Harsh\n12:30 
 pm - 12:45 pm | AlgoTrade & XGBoost Q&A: Harsh\n12:45 pm - 1:00 pm | Snack
 s & Refreshments\n\nAbstract:\n\nStock markets generate enormous amounts o
 f data every day\, yet predicting how a stock will move throughout a tradi
 ng session remains a difficult problem. This paper presents MarketSight\, 
 a system that learns from years of historical market data to forecast how 
 individual stock prices will evolve across an entire trading day — befor
 e that day begins. By identifying patterns in past price behavior\, the sy
 stem produces a predicted price path for each stock\, giving traders an ea
 rly picture of likely intraday movement. The system runs automatically eac
 h night\, updating its predictions with the latest available data. Experim
 ents across approximately 500 US-listed stocks demonstrate meaningful fore
 casting accuracy\, with predictions consistently outperforming naive basel
 ines.\n\nSpeaker(s): Dolcy Sareen\, Harsh Saw\n\nRoom: 130\, Bldg: C\, 100
 0 K. L. O. Rd\, Kelowna\, British Columbia\, Canada\, V1Y 4X8\, Virtual: h
 ttps://events.vtools.ieee.org/m/558962
LOCATION:Room: 130\, Bldg: C\, 1000 K. L. O. Rd\, Kelowna\, British Columbi
 a\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.ieee.org/m/558962
ORGANIZER:kristina.cormier@myokanagan.bc.ca
SEQUENCE:1
SUMMARY:Algorithmic Trading: XGBoost Machine Learning Model - Student Prese
 ntation
URL;VALUE=URI:https://events.vtools.ieee.org/m/558962
X-ALT-DESC:Description: <br /><p>Join us for an exciting student research p
 resentation!<br>Come support and learn from students as they share their w
 ork\, there will be multiple presentations happening throughout the day.<b
 r>Snacks and lunch will be provided\, so bring your curiosity (and your ap
 petite)!<br>We&rsquo\;d love to see you there!</p>\n<p>12:00 pm - 12:30 pm
  | AlgoTrade &amp\; XGBoost: Harsh<br>12:30 pm - 12:45 pm | AlgoTrade &amp
 \; XGBoost Q&amp\;A: Harsh<br>12:45 pm - 1:00 pm | Snacks &amp\; Refreshme
 nts</p>\n<p>Abstract:</p>\n<p>Stock markets generate enormous amounts of d
 ata every day\, yet predicting how a stock will move throughout a trading 
 session remains a difficult problem. This paper presents MarketSight\, a s
 ystem that learns from years of historical market data to forecast how ind
 ividual stock prices will evolve across an entire trading day &mdash\; bef
 ore that day begins. By identifying patterns in past price behavior\, the 
 system produces a predicted price path for each stock\, giving traders an 
 early picture of likely intraday movement. The system runs automatically e
 ach night\, updating its predictions with the latest available data. Exper
 iments across approximately 500 US-listed stocks demonstrate meaningful fo
 recasting accuracy\, with predictions consistently outperforming naive bas
 elines.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p
 >
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