TY - GEN
T1 - Natural Language Coding (NLC) for Autonomous Stock Trading
T2 - 23rd IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2023
AU - Kumar, Yulia
AU - Li, Wenxiao
AU - Huang, Kuan
AU - Thompson, Michael
AU - Hannon, Brendan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In the evolving field of AI, the advent of Large Language Models (LLMs) and Natural Language Coding (NLC) represents a revolutionary step in programming and computational linguistics. This research, conducted by early-career scholars and their mentors, constructs a self-reliant stock trading bot using Transformer Neural Networks, AutoGPT, and the Alpaca API, exploring the potentials of a No-Code/Code-Free AI framework rooted in NLC. This investigation assesses the effectiveness of this approach in stock trading influenced by social media dynamics and compares it with traditional trading mechanisms. Initially focused on the financial analysis of the platform 'X', formerly Twitter, the study has adapted to the continuous transformations in social media landscapes and advancements in AI. The results highlight the extensive capabilities of LLMs in tasks such as code generation, data analytics, and app development, suggesting NLC as an emerging frontier in AI.
AB - In the evolving field of AI, the advent of Large Language Models (LLMs) and Natural Language Coding (NLC) represents a revolutionary step in programming and computational linguistics. This research, conducted by early-career scholars and their mentors, constructs a self-reliant stock trading bot using Transformer Neural Networks, AutoGPT, and the Alpaca API, exploring the potentials of a No-Code/Code-Free AI framework rooted in NLC. This investigation assesses the effectiveness of this approach in stock trading influenced by social media dynamics and compares it with traditional trading mechanisms. Initially focused on the financial analysis of the platform 'X', formerly Twitter, the study has adapted to the continuous transformations in social media landscapes and advancements in AI. The results highlight the extensive capabilities of LLMs in tasks such as code generation, data analytics, and app development, suggesting NLC as an emerging frontier in AI.
KW - Autonomous Trading Bot
KW - ChatGPT
KW - Natural Language Coding (NLC)
KW - Social Media Stock Prediction
UR - http://www.scopus.com/inward/record.url?scp=85186744614&partnerID=8YFLogxK
U2 - 10.1109/QRS-C60940.2023.00047
DO - 10.1109/QRS-C60940.2023.00047
M3 - Conference contribution
AN - SCOPUS:85186744614
T3 - Proceedings - 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2023
SP - 873
EP - 874
BT - Proceedings - 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 October 2023 through 26 October 2023
ER -