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What are the current AI applications in the exchange and trading industry? 

Overfitting
Hidden Markov model
Reinforcement learning
Asynchronous communication
Foreign exchange market
Best insight from top research papers

Current AI applications in the exchange and trading industry encompass a variety of technologies such as Machine Learning (ML), Genetic Algorithm (GA), Neural Network (NN), Expert System (ES), and advanced algorithms like Deep Q Learning and ChatGPT. These AI tools are utilized for automating tasks, enhancing efficiency, making predictions, improving decision-making, ensuring cybersecurity, and enabling multilingual interactions with traders . Notably, AI-based trading strategies have shown superior performance over static rule-based strategies, with algorithms like hidden Markov model (HMM) and asynchronous advantage actor-critic (A3C) method being employed for constructing trading strategies . Algorithmic trading, driven by AI technology, has revolutionized stock markets by automating trade execution and identification, offering increased potential, reducing human errors, and transforming market dynamics .

Answers from top 5 papers

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Papers (5)Insight
Open access•Journal Article•DOI
Application of artificial intelligence in algorithmic trading
Rohan Pothumsetty
10 May 2020
1 Citations
Current AI applications in the exchange and trading industry include algorithmic trading, which automates trade execution and identification, enhancing market potential by reducing human errors and transforming stock market operations.
Journal Article•DOI
Exploratory Study on the Utilization of ChatGPT in International Trade
Hohyun Lee
31 Mar 2023-Korea Association for International Commerce and Information
AI applications like ChatGPT can automate tasks, enhance efficiency, decision-making, and cybersecurity in international trade. It enables multilingual translation and customer service, revolutionizing interactions with traders.
Open access•Journal Article•DOI
Algorithmic trading system based on technical indicators in artificial intelligence: A review
Zarith Sofia Zulkifli, Miswan Surip, Hairuddin Mohammad, Nurnadiah Zamri, Mustafa Mamat, Nor Shahirul Umirah Idris 
01 Jan 2023-Nucleation and Atmospheric Aerosols
AI applications in trading include Machine Learning, Genetic Algorithm, Neural Network, and Expert System for developing Algorithmic Trading Systems based on Technical Indicators, as highlighted in the reviewed papers.
Proceedings Article•DOI
Optimized Forex Trading using Ensemble of Deep Q-Learning Agents
04 Aug 2022
The paper proposes an optimized Forex trading system using an ensemble of Deep Q-Learning agents with CNN and LSTM for decision-making, showcasing AI application in trading.
Journal Article•DOI
Using HMM and Reinforcement Learning for Building Smarter Trading Strategies
01 Jan 2022-Wilmott
1 Citations
AI applications in trading include hidden Markov model (HMM) and asynchronous advantage actor-critic (A3C) method for smarter trading strategies, outperforming static rule-based approaches.

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