Hybrid Conferencee

International Conference on AI and Machine Learning in Investment Strategies (ICAIMLIS - 26)

9th - 10th September 2026 | Vancouver, Canada

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Vancouver. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Vancouver event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Vancouver conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Vancouver, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Vancouver."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAIMLIS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Investment Strategies, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
AI applications in investment strategies
02
Machine learning for financial forecasting
03
Data analytics in investment decision-making
04
Risk management using AI technologies
05
Impact of AI on portfolio management
06
Ethical considerations in AI investing
07
AI-driven trading algorithms
08
Future of AI in finance and investments
09
Challenges in implementing AI strategies
10
AI and behavioral finance insights
11
Case studies of AI in investment firms
12
Machine learning for asset allocation
13
AI in risk assessment and mitigation
14
Natural language processing in finance
15
AI for real-time market analysis
16
Impact of AI on investment performance
17
Regulatory considerations for AI in finance
18
AI and sustainable investing practices
19
Collaborative AI investment strategies
20
Trends in AI and finance research