Đồ án tốt nghiệp - Application for comprehensive investment, market insights and trading SUML

HO CHI MINH UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH QUALITY TRAINING
--

GRADUATION PROJECT

APPLICATION FOR COMPREHENSIVE
INVESTMENT, MARKET INSIGHTS AND TRADING
STRATEGY USING MACHINE LEARNING
MAJOR: INFORMATION TECHNOLOGY
Students:

BUI DUC NHAN
BUI HUU LUAN
Advisor: TRẦN NHẬT QUANG, PhD.

Ho Chi Minh city, July - 2023

19110004
19110088

i
THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, January 20, 2020

GRADUATION PROJECT ASSIGNMENT
Student name: _________________________ Student ID: ___________________
Student name: __________________________ Student ID: ___________________
Student name: __________________________ Student ID: ___________________
Major: ________________________________ Class: ________________________
Advisor: ____________________________

Phone number: _________________

Date of assignment: _____________________ Date of submission: _____________

1. Project title: _________________________________________________________
2. Initial materials provided by the advisor: ___________________________________
3. Content of the project: _________________________________________________
4. Final product: ________________________________________________________
CHAIR OF THE PROGRAM

ADVISOR

(Sign with full name)

(Sign with full name)

i

ii
THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, January 20, 2020

ADVISOR’S EVALUATION SHEET
Student name: ................................................................. Student ID: .................................
Student name: ................................................................. Student ID: .................................
Student name: ................................................................. Student ID: .................................
Major: .....................................................................................................................................
Project title: ............................................................................................................................
................................................................................................................................................
Advisor: .............................................................................................................................
EVALUATION
1. Content of the project:
.......
...

...
M a tutorial into Long
Short-Term Memory Recurrent Neural Networks, arXiv:1909.09586, 2019.
[32] S. Rathor, Medium, 3 June 2018. [Online]. Available:
https://medium.com/@saurabh.rathor092/simple-rnn-vs-gru-vs-lstm-difference-lies-inmore-flexible-control-5f33e07b1e57. [Accessed 28 May 2023].
[33] T. &amp. P. M. Evgeniou, Support Vector Machines: Theory and Applications, Machine
Learning and Its Applications, Advanced Lectures, (2001).
[34] S. Bansai, Analytixlabs, 7 July 2021. [Online]. Available:
https://www.analytixlabs.co.in/blog/introduction-support-vector-machine-algorithm/.
[Accessed 28 May 2023].
[35] L. Breiman, Random Forests. Machine Learning,
https://doi.org/10.1023/A:1010933404324, 2001.
[36] I. Olagoke, Medium, 9 November 2022. [Online]. Available:
https://ibrahimgoke.medium.com/decision-forests-in-tensorflow-ec3be3b6d29d. [Accessed
28 May 2023].
[37] T. Chen and C. Guestrin, XGBoost: A Scalable Tree Boosting System,
arXiv:1603.02754, 2016.
[38] F. Almeida and G. Xexéo, Word Embeddings: A Survey, eprint arXiv:1901.09069, 2019.
[39] A. Talaviya, Medium, 14 September 2022. [Online]. Available:
https://medium.com/@avikumart_/a-guide-to-understanding-word-embeddings-and88

Faculty for High Quality Training – HCMC University of Technology and Education
building-your-first-rnn-model-using-keras-a-complete-62ef4662d84b. [Accessed 28 May
2023].
[40] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser and I.
Polosukhin, Attention Is All You Need, 10.48550/arXiv.1706.03762 , 2017.
[41] T. Helix, The Triple Helix, 28 March 2023. [Online]. Available: https://www.browntth.com/post/the-neural-network-in-our-heads-how-transformer-architectures-mirror-thehuman-brain. [Accessed 28 May 2023].
[42] J. Devlin, M.-W. Chang, K. Lee and K. Toutanova, BERT: Pre-training of Deep
Bidirectional Transformers for Language Understanding, 10.48550/arXiv.1810.04805 ,
2018.
[43] A. Mohamed, Medium, 14 February 2023. [Online]. Available: https://medium.com/thetechlife/what-is-a-bert-transformer-model-7da48e162e24. [Accessed 28 May 2023].
[44] D. Araci, FinBERT: Financial Sentiment Analysis with Pre-trained Language Models,
10.48550/arXiv.1908.10063 , 2019.
[45] J. Chen, Investopedia, September 2022. [Online].
[46] I. Olagoke, Medium, Nove 2022. [Online].
[47] I. Olagoke, Medium, Nove 2022. [Online].
[48] [Online]. Available: https://www.dulnvxiers.gq/products.aspx?cname=glove+nlp&ampcid=41.

89