BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260417T162201Z UID:AF487E23-427F-4DFA-A31B-6045A922BF3A DTSTART;TZID=America/Los_Angeles:20260422T090000 DTEND;TZID=America/Los_Angeles:20260422T110000 DESCRIPTION:Data Collection and Staging Process Automation Precision\, Spee d and Scalability for Machine Learning Modelling of Algorithmic Trading St ocks-Price Prediction\n\nAbstract—\n\nThis presentation discusses an aut omated data collection and staging pipeline for high-frequency stock price prediction using machine learning. The system integrates scalable ELT pro cesses\, data deduplication\, and distributed training with XGBoost on hig h-performance computing infrastructure. Designed for precision\, speed\, a nd scalability\, the framework enables efficient handling of large financi al time-series datasets while maintaining robust predictive performance an d optimized resource utilization.\n\n📢 Public Presentation Announcement \n\nJoin us for a live presentation on:\n\nData Collection and Staging Pro cess Automation for Machine Learning in Algorithmic Trading\n\n🗓 Wednes day\, April 22\n⏰ 9:00 AM – 11:00 AM\n📍 Okanagan College E-301 / Hy brid\n\nThis project brings together three teams—Data Collection\, Data Warehousing\, and Machine Learning—into a unified\, end-to-end system fo r high-frequency stock price prediction.\n\nLearn how we designed a scalab le pipeline using distributed computing and XGBoost\, covering system arch itecture\, data engineering\, and real-world ML applications in algorithmi c trading.\n\nThis work also establishes a foundation for ongoing research and extended large-scale evaluation.\n\nOpen to students\, faculty\, and anyone interested in machine learning\, data systems\, or fintech.\n\nSpea ker(s): \, \, \n\nRoom: E-301\, Bldg: 1000 K. L. O. Rd\, 1000 K. L. O. Rd\ , Kelowna\, British Columbia\, Canada\, V1Y 4X8\, Virtual: https://events. vtools.ieee.org/m/555692 LOCATION:Room: E-301\, Bldg: 1000 K. L. O. Rd\, 1000 K. L. O. Rd\, Kelowna\ , British Columbia\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.iee e.org/m/555692 ORGANIZER:kristina.cormier@myokanagan.bc.ca SEQUENCE:7 SUMMARY:Data Collection and Staging Process Automation Precision\, Speed an d Scalability for Machine Learning Modelling of Algorithmic Trading Stocks -Price Prediction URL;VALUE=URI:https://events.vtools.ieee.org/m/555692 X-ALT-DESC:Description: <br /><h1 id="docs-internal-guid-3639815c-7fff-553f -a4f3-4c8a20dbb663" dir="ltr" style="line-height: 1.38\; margin-top: 20pt\ ; margin-bottom: 6pt\;"><span style="font-size: 20pt\; font-family: Arial\ ,sans-serif\; color: #000000\; background-color: transparent\; font-weight : bold\; font-style: normal\; font-variant: normal\; text-decoration: none \; vertical-align: baseline\; white-space: pre-wrap\;">Data Collection and Staging Process Automation Precision\, Speed and Scalability for Machine Learning Modelling of Algorithmic Trading Stocks-Price Prediction</span></ h1>\n<p>&nbsp\;</p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 0 pt\; margin-bottom: 0pt\;"><span style="font-size: 11pt\; font-family: Ari al\,sans-serif\; color: #000000\; background-color: transparent\; font-wei ght: bold\; font-style: normal\; font-variant: normal\; text-decoration: n one\; vertical-align: baseline\; white-space: pre-wrap\;">Abstract&mdash\; </span></p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 0pt\; mar gin-bottom: 0pt\;"><span style="font-size: 11pt\; font-family: Arial\,sans -serif\; color: #000000\; background-color: transparent\; font-weight: 400 \; font-style: normal\; font-variant: normal\; text-decoration: none\; ver tical-align: baseline\; white-space: pre-wrap\;">This presentation discuss es an automated data collection and staging pipeline for high-frequency st ock price prediction using machine learning. The system integrates scalabl e ELT processes\, data deduplication\, and distributed training with XGBoo st on high-performance computing infrastructure. Designed for precision\, speed\, and scalability\, the framework enables efficient handling of larg e financial time-series datasets while maintaining robust predictive perfo rmance and optimized resource utilization.</span></p>\n<p dir="ltr" style= "line-height: 1.38\; margin-top: 0pt\; margin-bottom: 0pt\;">&nbsp\;</p>\n <p dir="ltr" style="line-height: 1.38\; margin-top: 0pt\; margin-bottom: 0 pt\;">&nbsp\;</p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 0pt \; margin-bottom: 12pt\;"><span style="font-size: 11pt\; font-family: Aria l\,sans-serif\; color: #000000\; background-color: transparent\; font-weig ht: 400\; font-style: normal\; font-variant: normal\; text-decoration: non e\; vertical-align: baseline\; white-space: pre-wrap\;">📢 </span><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: bold\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertical-align: baseline\; white-space: pre-wrap\;">Public Presentation Announcement</span></p>\n<p d ir="ltr" style="line-height: 1.38\; margin-top: 12pt\; margin-bottom: 12pt \;"><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: 400\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertical-align: ba seline\; white-space: pre-wrap\;">Join us for a live presentation on:</spa n></p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 12pt\; margin- bottom: 12pt\;"><span style="font-size: 11pt\; font-family: Arial\,sans-se rif\; color: #000000\; background-color: transparent\; font-weight: bold\; font-style: normal\; font-variant: normal\; text-decoration: none\; verti cal-align: baseline\; white-space: pre-wrap\;">Data Collection and Staging Process Automation for Machine Learning in Algorithmic Trading</span></p> \n<p dir="ltr" style="line-height: 1.38\; margin-top: 12pt\; margin-bottom : 12pt\;"><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: 400\; font-s tyle: normal\; font-variant: normal\; text-decoration: none\; vertical-ali gn: baseline\; white-space: pre-wrap\;">🗓 </span><span style="font-size : 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-colo r: transparent\; font-weight: bold\; font-style: normal\; font-variant: no rmal\; text-decoration: none\; vertical-align: baseline\; white-space: pre -wrap\;">Wednesday\, April 22</span><span style="font-size: 11pt\; font-fa mily: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: bold\; font-style: normal\; font-variant: normal\; text-deco ration: none\; vertical-align: baseline\; white-space: pre-wrap\;"><br></s pan><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: 400\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertical-align: ba seline\; white-space: pre-wrap\;">⏰ </span><span style="font-size: 11pt\ ; font-family: Arial\,sans-serif\; color: #000000\; background-color: tran sparent\; font-weight: bold\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertical-align: baseline\; white-space: pre-wrap\; ">9:00 AM &ndash\; 11:00 AM</span><span style="font-size: 11pt\; font-fami ly: Arial\,sans-serif\; color: #000000\; background-color: transparent\; f ont-weight: bold\; font-style: normal\; font-variant: normal\; text-decora tion: none\; vertical-align: baseline\; white-space: pre-wrap\;"><br></spa n><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: # 000000\; background-color: transparent\; font-weight: 400\; font-style: no rmal\; font-variant: normal\; text-decoration: none\; vertical-align: base line\; white-space: pre-wrap\;">📍 </span><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: trans parent\; font-weight: bold\; font-style: normal\; font-variant: normal\; t ext-decoration: none\; vertical-align: baseline\; white-space: pre-wrap\;" >Okanagan College E-301 / Hybrid</span></p>\n<p dir="ltr" style="line-heig ht: 1.38\; margin-top: 12pt\; margin-bottom: 12pt\;"><span style="font-siz e: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-col or: transparent\; font-weight: 400\; font-style: normal\; font-variant: no rmal\; text-decoration: none\; vertical-align: baseline\; white-space: pre -wrap\;">This project brings together three teams&mdash\;</span><span styl e="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; bac kground-color: transparent\; font-weight: bold\; font-style: normal\; font -variant: normal\; text-decoration: none\; vertical-align: baseline\; whit e-space: pre-wrap\;">Data Collection\, Data Warehousing\, and Machine Lear ning</span><span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color: transparent\; font-weight: 400\; font- style: normal\; font-variant: normal\; text-decoration: none\; vertical-al ign: baseline\; white-space: pre-wrap\;">&mdash\;into a unified\, end-to-e nd system for high-frequency stock price prediction.</span></p>\n<p dir="l tr" style="line-height: 1.38\; margin-top: 12pt\; margin-bottom: 12pt\;">< span style="font-size: 11pt\; font-family: Arial\,sans-serif\; color: #000 000\; background-color: transparent\; font-weight: 400\; font-style: norma l\; font-variant: normal\; text-decoration: none\; vertical-align: baselin e\; white-space: pre-wrap\;">Learn how we designed a scalable pipeline usi ng distributed computing and XGBoost\, covering system architecture\, data engineering\, and real-world ML applications in algorithmic trading.</spa n></p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 12pt\; margin- bottom: 12pt\;"><span style="font-size: 11pt\; font-family: Arial\,sans-se rif\; color: #000000\; background-color: transparent\; font-weight: 400\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertic al-align: baseline\; white-space: pre-wrap\;">This work also establishes a foundation for ongoing research and extended large-scale evaluation.</spa n></p>\n<p dir="ltr" style="line-height: 1.38\; margin-top: 12pt\; margin- bottom: 12pt\;"><span style="font-size: 11pt\; font-family: Arial\,sans-se rif\; color: #000000\; background-color: transparent\; font-weight: 400\; font-style: normal\; font-variant: normal\; text-decoration: none\; vertic al-align: baseline\; white-space: pre-wrap\;">Open to students\, faculty\, and anyone interested in machine learning\, data systems\, or fintech.</s pan></p> END:VEVENT END:VCALENDAR