stock_exchange_of_thailand, 2022, ai_trading, A Gaussian process regression model for forecasting stock exchange of Thailand,  In this study, we evaluate the use of GPR to predict the stock price of Thailand (SET). The  number of input lags in the model. Therefore, the GPR is more favorable for the prediction of , https://tis.wu.ac.th/index.php/tis/article/view/3045


stock_exchange_of_thailand, 2022, ai_trading, The Analysis of Causal Factors Influencing on Information Asymmetry of Listed Companies on the Stock Exchange of Thailand,  The research findings could be atypical if these groups are evaluated together due to variances in business and transparency of listed businesses on the Stock Exchange of Thailand. It , https://www.agbioforum.org/sobiad.org/menuscript/index.php/ijebeg/article/view/1255


stock_exchange_of_thailand, 2022, ai_trading, Learning Orientation And Innovative Capabilities Affecting Performance Of Companies Listed On The Stock Exchange Of Thailand,  The objectives of this research were to study the learning  of companies listed on the Stock Exchange of Thailand by  executives of the companies listed in the database of the Stock , http://mail.journalppw.com/index.php/jpsp/article/view/10108


stock_exchange_of_thailand, 2022, ai_trading, Dynamic relationship between the return of gold, crude oil, and the stock exchange of Thailand based on a vector autoregressive model,  This study applies the VAR(p) model to investigate the dynamic relationship between gold, WTI crude oil, and the total return of the stock exchange of Thailand. There are three steps: , https://www.zbw.eu/econis-archiv/bitstream/11159/12298/1/1816946249_0.pdf


stock_exchange_of_thailand, 2022, ai_trading, A Study of the Relationship of Stock Prices and Dividends in Cash Flows from Companies in Stock Exchange of Thailand (SET100),  of stock prices and dividends in cash flows and to investigate the types of cash flow that might be used to describe the stock  they are companies in stock Exchange of Thailand in set 100, https://publication.npru.ac.th/handle/123456789/1749


stock_exchange_of_thailand, 2022, ai_trading, The Impact of Corporate Governance on Firm Value: Evidence from the Stock Exchange of Thailand,  of board composition, as an indicator of appropriate corporate govenance, on firm value in the Stock Exchange of Thailand.  is an impact of board composition on firm Value in Thailand , https://wjst.wu.ac.th/index.php/stssp/article/view/25669


stock_exchange_of_thailand, 2022, ai_trading, Guidelines For Preparing Businesses To Raise Funds In The Stock Exchange Of Thailand,  The population used in this research was high-level executives of 743 companies listed on the Stock Exchange of Thailand that had been successfully listed for a period of 4 months. , https://resmilitaris.net/menu-script/index.php/resmilitaris/article/view/184


stock_exchange_of_thailand, 2022, ai_trading, IFRS adoption and the value relevance: Evidence from the stock exchange of Thailand,  of accounting information for Thai companies listed in the Stock Exchange of Thailand at the initial time of  market value of equity and the book value and earnings per share of equity is , https://so02.tci-thaijo.org/index.php/JFAC/article/download/254477/172032/952927


stock_exchange_of_thailand, 2022, ai_trading, … finance models for financial planning (MFM-FP) and ARIMA-common size in forecasting roe of real estate developers in the stock exchange of Thailand,  the usefulness of using the developed MFM-FP model in the Thai business environment.  of 37 companies in real estate development that traded on the Stock Exchange of Thailand , http://www.assumptionjournal.au.edu/index.php/abacjournal/article/view/6099


stock_exchange_of_thailand, 2022, ai_trading, … , Internal Control, And Internal Audit On The Reduce Liquidity Risk, Performance, And The Value Of Listed Companies In The Stock Exchange Of Thailand,  purposes of  of listed companies in the Stock Exchange of Thailand and to present guidelines to using the risk assessment form of the listed companies in the Stock Exchange of Thailand, http://mail.journalppw.com/index.php/jpsp/article/view/7298


stock_exchange_of_thailand, 2022, ai_trading, … officer, the quality of internal control and the quality of financial reports that affects the financial effectiveness of companies listed on the stock exchange of Thailand,  Among the limitations of this study are the Stock Exchange of Thailand sample data. Numerous companies have insufficient information; hence, such information cannot be studied. The , https://sobiad.org/menuscript/index.php/ijefs/article/view/1123


stock_exchange_of_thailand, 2022, ai_trading, Impact of environmental, social and governance disclosures on market reaction: an evidence of Top50 companies listed from Thailand,  Population and sample were top50 listed companies from the Stock Exchange of Thailand. Using corporate annual reports from 2015 to 2019, content analysis by word counting was , https://www.emerald.com/insight/content/doi/10.1108/JFRA-12-2020-0377/full/html


stock_exchange_of_thailand, 2022, ai_trading, … of Organizational learning, Organization Innovation, and Business Performance on the Sustainability of the Companies Listed on the Stock Exchange of Thailand,  The objectives of this research were to study: 1) levels of organizational learning,  sustainability of companies listed on the Stock Exchange of Thailand; 2)influences of organizational , https://www.journalppw.com/index.php/jpsp/article/view/2001


stock_exchange_of_thailand, 2022, ai_trading, An analysis of the dynamic linkages of Pakistani stock market with the world's leading stock markets,  the co-integration analysis of the PSX with world six major Stock Exchanges, which are also  while equity markets of Thailand and Taiwan showed no relationship with the US and Japan , https://global-jws.com/ojs/index.php/global-jws/article/view/160


stock_exchange_of_thailand, 2022, ai_trading, The analysis of enhanced momentum strategies in the Stock Exchange of Thailand,  This study compares the performance of these three volatility-scaled momentum strategies from pieces of literature in the Stock exchange of Thailand using a long sample of the data, , https://digital.car.chula.ac.th/chulaetd/5867/


stock_exchange_of_thailand, 2022, ai_trading, Tourism stocks of Thailand in COVID-19 crisis,  This study uses the Tourism & Leisure stock index of the Stock Exchange of Thailand (SET) for analysis. The daily data on closing prices for the period from January 1, 2018 to February , https://so01.tci-thaijo.org/index.php/APST/article/download/262651/171710/975728


stock_exchange_of_thailand, 2022, ai_trading, The Study of the Return Behavior of the Big-Cap Stocks on the Stock Exchange of Thailand: Evidence from Pre, During, and Post-Covid-19,  -form efficiency of the big-cap stocks in the SET50 index of the Stock Exchange of Thailand in  that during the first four months of year 2020, considered the initial phase of the Covid-19 , https://so10.tci-thaijo.org/index.php/NIDABJ/issue/download/10/27#page=96


stock_exchange_of_thailand, 2022, ai_trading, … Performance Using Human Resource Accounting as an Intervening Variable Empirical Study on Service Companies Listed on the Stock Exchange of Thailand (SET),  Stock Exchange Of Thailand (SET). The population in this study were all companies listed on the Stock Exchange Of Thailand ( Classical assumption test consisting of normality test and , http://ejournal.itbwigalumajang.ac.id/index.php/asset/article/view/846


stock_exchange_of_thailand, 2022, ai_trading, The effect of corporate governance on company value in the indonesia stock exchange and sharia stock in Indonesia,  the Thai currency crisis in early July 1997.  of the Indonesia Stock Exchange (IDX) which is represented by the development of the LQ45 Index from the development of Islamic stocks , https://journal.ipb.ac.id/index.php/jabm/article/view/38743


stock_exchange_of_thailand, 2022, ai_trading, The contributing factors of intellectual capital disclosures in agriculture and mining sectors of Indonesia and Thailand,  on the Indonesia Stock Exchange and Stock Exchange of Thailand from 2013 to 2017. The method used is a content analysis of 380 annual reports (150 from Thailand and 230 from , https://www.emerald.com/insight/content/doi/10.1108/ARJ-02-2020-0022/full/html


stock_exchange_of_thailand, 2022, ai_trading, Profitability and working capital management: evidence from the Warsaw stock exchange,  The aim of this paper is to identify the relationships between measures of working capital  In the case of Thailand, Taiwan and Vietnam, only a linear relationship was diagnosed. , https://journals.vilniustech.lt/index.php/JBEM/article/view/15087


stock_exchange_of_thailand, 2022, ai_trading, Equity sector investing over business cycles: The case of Thailand,  This paper applied the business cycle approach to sector investing by using monthly sector returns in The Stock Exchange of Thailand (SET) from January 2004 to March 2018. It was , https://so04.tci-thaijo.org/index.php/kjss/article/download/258496/175117/958303


stock_exchange_of_thailand, 2022, ai_trading, The Path Analysis of Ownership Structure and Dividend Payout Ratio on Firm Performance of Listed Companies in the Stock Exchange of Thailand,  The Stock Exchange of Thailand can use the results of this study to determine guidelines or  This is because the Code of Governance only focuses on good governance for the board of , https://so02.tci-thaijo.org/index.php/BECJournal/article/view/246842


stock_exchange_of_thailand, 2022, ai_trading, THE EFFECTS OF FINANCIAL RATIOS TO THE PROPERTY AND CONSTRUCTION INDEX IN STOCK EXCHANGE OF THAILAND,  The objectives of this research are to study the effects of financial ratios on the property and construction index in the stock exchange of Thailand. A total of four companies were covered , http://ir-ithesis.swu.ac.th/dspace/handle/123456789/2134


stock_exchange_of_thailand, 2022, ai_trading, Antecedents of Company Leverage in the Indonesian and Thailand Stock Exchange,  on Indonesian Stock Exchange and 951 observation data on Stock Exchange of Thailand.  Indonesia and Thailand. Liquidity has a negative significant effect on DAR in Indonesia and , http://repository.ubaya.ac.id/43156/


stock_exchange_of_thailand, 2022, ai_trading, The structural equation modelling of factors affecting savings and investment behaviors of generations Z in Thailand,  Thailand was between the ages of 20 and 25. According to the Stock Exchange of Thailand ( trading experience, according to the Stock Exchange of Thailand (SET). 220 individuals , https://sobiad.org/menuscript/index.php/ijebeg/article/view/943


stock_exchange_of_thailand, 2022, ai_trading, The relationship between firm performance measures: Accounting income with Stock returns and Stock prices of companies listed in the Stock Exchange of Thailand,  and stock returns, and stock prices of listed companies in the Stock Exchange of Thailand.  from SETSMART and financial statement of listed companies during the period of year 2014-, http://ir.buu.ac.th/dspace/handle/1513/755


stock_exchange_of_thailand, 2022, ai_trading, Corporate social responsibility and leverage level on high profile industries at Indonesian stock exchange of 2015-2019 period,  This study aims at analyzing the effect of corporate social responsibility (CSR) and the level of use of debt  and performance of the listed companies on the Stock Exchange of Thailand. , http://jurnal.untagsmg.ac.id/index.php/fe/article/view/2285


stock_exchange_of_thailand, 2022, ai_trading, Family Ownership Levels Influencing the Profitability of Family Companies Listed on the Stock Exchange of Thailand,  of this study was to investigate the levels of family ownership that influence the profitability of family companies listed on the Stock Exchange of Thailand on the levels of their family , http://ijbejournal.com/images/files/106995646639a8032d345e.pdf


stock_exchange_of_thailand, 2022, ai_trading, External auditor and KAMs reporting in alternative capital market of Thailand,  companies listed in the Stock Exchange of Thailand (SET) as main capital market and for the Market for Alternative Investment (MAI) as an alternative capital market. KAMs reporting in , https://www.emerald.com/insight/content/doi/10.1108/MEDAR-04-2020-0850/full/html


stock_exchange_of_thailand, 2022, ai_trading, The Relationship between corporate governance assessment and performance: a case study of listed companies in the stock exchange of Thailand,  proportion of independent directors, the proportion of  of meeting attendance of the board, had a positive relationship with the performance of listed companies, with significance levels of , https://so06.tci-thaijo.org/index.php/RMUTP_JBI/article/download/265604/177559/1029700


stock_exchange_of_thailand, 2022, ai_trading, Influence of P/E ratio and market capitalization on returns of the securities in the energy sector in the stock exchange of Thailand,  The results of the research showed that the P/E ratio had a  returns of the energy securities in the Stock Exchange of Thailand of the energy securities in the Stock Exchange of Thailand. , https://repository.rmutp.ac.th/handle/123456789/3753


stock_exchange_of_thailand, 2022, ai_trading, Exchange rate, gold price, and stock price correlation in asean-5: evidence from covid-19 era,  , Philippines, and Thailand) were the pillars of economies in the Southeast Asia. This study aimed to examine the dynamic correlation of exchange rate and gold price on stock price in , https://jurnalmanajemen.petra.ac.id/index.php/man/article/view/24105


stock_exchange_of_thailand, 2022, ai_trading, Environmental, Social and Governance (ESG) Committees and Performance in Thailand,  Thai listed companies (364 firm-year observations) from the Stock Exchange of Thailand ( Research findings: The average performance score of ESG in Thailand is 29.52. In addition, , https://vmis.um.edu.my/index.php/AJBA/article/download/41019/15325


stock_exchange_of_thailand, 2022, ai_trading, A proposed alternative framework for a direct listing regime in Thailand,  regarding the listing of the initial public offering on the Stock Exchange of Thailand as the laws  The Stock Exchange of Thailand is one of the financial institutions making a considerable , http://ethesisarchive.library.tu.ac.th/thesis/2022/TU_2022_6201040067_17881_26624.pdf


stock_exchange_of_thailand, 2022, ai_trading, The Role of Human Capital on the Performance of Islamic Banks in Indonesia, Malaysia, and Thailand,  of Islamic banks in Indonesia, Malaysia, and Thailand. Our investigations collect data that we process and accumulate nationally from all Islamic banks listed on the stock exchange and , https://www.atlantis-press.com/proceedings/bicebf-21/125969605


stock_exchange_of_thailand, 2022, ai_trading, … Impact of Ratios that are Relevant And Irrelevant To Profitability Affecting The Capital Structure of Companies Listed on The Stock Exchange of Thailand in SET 100 …,  purposes of this study were to study the impact of ratios on profitability, which consists of net  The results of the study were as follows: 1) The ratio of return on assets had a negative , https://so04.tci-thaijo.org/index.php/jsa-journal/article/view/259381


stock_exchange_of_thailand, 2022, ai_trading, The Effect of Asia Regional Stock Price Index on the Indonesia Composite Index (ICI) on the Indonesia Stock Exchange,  However, the stock exchange of a country in one region may have  stock exchanges of Asian countries that are included in the list of world major indices list include two stock exchange , https://ejbmr.org/index.php/ejbmr/article/view/1337


stock_exchange_of_thailand, 2022, ai_trading, Impact of Covid-19 on Liquidity, Profitability, and Financial Health: A case study of 3 sectors from Stock Exchange of Thailand,  Thailand was inevitably affected. Because when exploring into the proportions of the Thai economy, it is found that Thailand’s majority revenue is from exports of both goods and , http://www.assumptionjournal.au.edu/index.php/icesde/article/view/6946


stock_exchange_of_thailand, 2022, ai_trading, The impact of financial distress, sustainability report disclosures, and firm size on earnings management in the banking sector of Indonesia, Malaysia, and Thailand,  The populations in this study are banking companies listed on the Indonesian, Malaysian, and Thailand Stock Exchanges. The samples used are 43 public banking companies in , https://www.ceeol.com/search/article-detail?id=1051997


stock_exchange_of_thailand, 2022, ai_trading, The Impact of COVID-19 on Stock Market Returns & Volatility: A Study of Thailand and Indian Bourses,  and volatility of Thailand and Indian stock market. - stock index of the Stock Exchange of Thailand, ie, SET 50, and two indices of Bombay Stock Exchange and National Stock Exchange, https://so05.tci-thaijo.org/index.php/TER/article/view/258999


stock_exchange_of_thailand, 2022, ai_trading, The Effect of the Global Stock Index On the Joint Stock Price Index (JCI) In The Indonesia Stock Exchange, 2015–2019,  The purpose of this study is to identify and analyze the impact of the global index, are the  (JKSE) on the Indonesia Stock Exchange (IDX). This type of research is explanatory research , https://comserva.publikasiindonesia.id/index.php/comserva/article/view/119


stock_exchange_of_thailand, 2022, ai_trading, Effect of mutual fund fundamentals and characteristics on their performance: an empirical study of Thai equity mutual funds,  The market index return (Rm) is proxied by the Stock Exchange of Thailand Index (SET) change. In addition, the risk-free asset (Rf) is proxied by a 1-year treasury bill return. Four , https://cude.es/submit-a-manuscript/index.php/CUDE/article/view/255


stock_exchange_of_thailand, 2022, ai_trading, Technical analysis based automatic trading prediction system for stock exchange using support vector machine,  [10] implemented support vector machine (SVM) to five stocks on the Stock Exchange of Thailand. Using the SVM’s default parameters, the average accuracy achieved was 72.45%. , https://emitter.pens.ac.id/index.php/emitter/article/view/740


stock_exchange_of_thailand, 2022, ai_trading, The influence of sustainable reporting and corporate governance on value of mining companies listed on the ASEAN stock exchange,  Exchange of Thailand as well as other media that supported this research. We decided to  Overall the average value of mining companies on the ASEAN Stock Exchange was 1.067476, , https://ir.uitm.edu.my/id/eprint/61541/


stock_exchange_of_thailand, 2022, ai_trading, Ensemble classifier for stock trading recommendation,  The performance of proposed ensemble classifier is evaluated using daily historical prices of 20 stocks from Stock Exchange of Thailand, with 3 overlapping datasets of 5-year intervals , https://www.tandfonline.com/doi/abs/10.1080/08839514.2021.2001178


stock_exchange_of_thailand, 2022, ai_trading, Causal relationship between working capital policies and working capital indicators on firm performance: evidence from Thailand,  on the Stock Exchange of Thailand (2020) as of January 15th,  % of confidence level, making up the minimum samples of 286 of firms while being under the control of the Central Bank of , https://koreascience.kr/article/JAKO202215060096988.page


stock_exchange_of_thailand, 2022, ai_trading, Do institutional investors aggravate or attenuate stock return volatility? Evidence from Thailand,  known about the influence of institutional investors on the volatility of stock returns in emerging  firms listed on the Stock Exchange of Thailand (SET). The Thai stock market is a riveting , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4053242


stock_exchange_of_thailand, 2022, ai_trading, Momentum Effects and Pakistan Stocks Exchange,  in Thailand stock exchange for that purpose they made six portfolio base on the size and their past performance and calculated the return every month from 2010 to 2014. They examine , http://www.global-jws.com/ojs/index.php/global-jws/article/view/141


stock_exchange_of_thailand, 2022, ai_trading, Could Profitability, Efficiency, and Financial Leverage Signal Return on Equity: An Application of DuPont Analysis in Thailand Setting?,  (hereinafter referred to as ROE) of big market capitalization (hereinafter referred to as big market cap) companies listed on the Stock Exchange of Thailand (hereinafter referred to as the , https://so05.tci-thaijo.org/index.php/RJPJ/article/view/255397


stock_exchange_of_thailand, 2022, ai_trading, … of Enterprise Risk Management, Corporate Social Responsibility, and Sustainability Report on Firm Value in Banking Sector of Indonesia, Malaysia, and Thailand,  The purpose of this research was to determine the impact of disclosure on enterprise risk  listed on Indonesia, Malaysia, and Thailand Stock Exchanges from 20192020. Sampling using , https://hrcak.srce.hr/280020


stock_exchange_of_thailand, 2022, ai_trading, Firms' Financial Performance and Structural Change: The Case of Thailand,  The goal of this study is to undertake a micro-level analysis of the  in the Thai economy. The firm-level panel data used in this study covers firms listed in the Stock Exchange of Thailand , https://www.researchgate.net/profile/Cassey-Lee/publication/358352778_Firms'_Financial_Performance_and_Structural_Change_The_Case_of_Thailand/links/61fd3ec711a1090a79d16034/Firms-Financial-Performance-and-Structural-Change-The-Case-of-Thailand.pdf


stock_exchange_of_thailand, 2022, ai_trading, Thai stock news classification based on price changes and sentiments,  Abstract: This research investigates the daily stock news influences toward a company’s stock price direction in the Stock Exchange of Thailand. First, machine learning’s text , https://www.inderscienceonline.com/doi/abs/10.1504/IJEF.2022.120360


stock_exchange_of_thailand, 2022, ai_trading, Investors Perception About Cash Conversion Cycle When Valuing Firm (A study of Textile Sector of Pakistan Stock Exchange).,  Efficient management of the cash conversion cycle and its  of the Pakistan Stock Exchange is the main purpose of this paper. Liquidity management plays a key role in the valuation of a , https://www.kasbitoric.com/index.php/kbj/article/view/172


stock_exchange_of_thailand, 2022, ai_trading, Determinants of Non-Performing Bank Loans Listed on The Indonesia Stock Exchange For The 2016-2020 Period,  The objects in this research are some of the banks listed on the Indonesia Stock Exchange (IDX) as many as 32 banks. The research object was 32 banks, which were chosen with the , https://mail.jsss.co.id/index.php/jsss/article/view/470


stock_exchange_of_thailand, 2022, ai_trading, The Impact of the 3rd Wave of COVID19 on the Stock Market of Thailand,  This paper examines the impact of the outbreaks of the coronavirus disease (COVID19) pandemic on the trading volume of the Stock Exchange of Thailand (SET). The outbreak of the , https://www.hu.ac.th/Conference/conference2022/proceedings/doc/02%20%E0%B8%99%E0%B8%B2%E0%B8%99%E0%B8%B2%E0%B8%8A%E0%B8%B2%E0%B8%95%E0%B8%B4%20(So)/2-I002So.pdf


stock_exchange_of_thailand, 2022, ai_trading, Clustering of Stock Prices for Portfolio Optimization: A Case Study of Thai Stock Market,  in terms of expected annual return, annual volatility, and Sharpe ratio. Our study is based on  stock exchange of Thailand 100 (SET100) index, which is calculated from the stock prices of , https://www.researchgate.net/profile/Kawiwat-Amnatchotiphan-2/publication/360888820_Clustering_of_Stock_Prices_for_Portfolio_Optimization_A_Case_Study_of_Thai_Stock_Market/links/62904aa58d19206823de75ee/Clustering-of-Stock-Prices-for-Portfolio-Optimization-A-Case-Study-of-Thai-Stock-Market.pdf


stock_exchange_of_thailand, 2022, ai_trading, It's COVID-19 chaos! Is the temporary restriction on short selling in Thailand effective?,  This paper evaluates the effectiveness of the COVID-19 temporarily led restriction on short selling by the Stock Exchange of Thailand (SET). We investigate the causal effect of short , https://www.tandfonline.com/doi/abs/10.1080/23322039.2022.2106633


stock_exchange_of_thailand, 2022, ai_trading, Bankruptcy Chances of Companies Listed on the Stock Exchange of Thailand in Covid 19 Pandemic: A Case Study of Comparison Between Manufacturing …,  the liNelihood of banNruptcy of companies listed on the StocN exchange of Thailand in  this research consisted of 492 companies, collecting financial statements of the year 2020 , https://so05.tci-thaijo.org/index.php/RMUTI_SS/issue/download/17226/4547#page=46


stock_exchange_of_thailand, 2022, ai_trading, The effect of sustainability report on value relevance of accounting information: Case study of Thai listed firms,  region presented 78 percent of the worldwide reporting of corporate responsibility report  In Thailand, the Stock Exchange of Thailand has continually focused on promoting the quality of , https://so04.tci-thaijo.org/index.php/kjss/article/view/258497


stock_prediction, 2020, ai_trading, Machine learning stock market prediction studies: review and research directions,  Chavan and Patil (2013) contribute to our understanding of ANN stock market prediction by surveying different model input parameters found in nine published articles. They attempt to , https://scholarworks.lib.csusb.edu/jitim/vol28/iss4/3/


stock_prediction, 2020, ai_trading, An innovative neural network approach for stock market prediction,  to achieve better stock market predictions. Data were obtained from the live stock market for  Multimedia of Things for stock analysis. To study the influence of market characteristics on , https://link.springer.com/article/10.1007/s11227-017-2228-y


stock_prediction, 2020, ai_trading, A systematic review of fundamental and technical analysis of stock market predictions,  This research seeks to perform a comprehensive systematic review of previous studies on stock market predictions based on the fundamental and technical analyst point of view, , https://link.springer.com/article/10.1007/s10462-019-09754-z


stock_prediction, 2020, ai_trading, A survey on machine learning for stock price prediction: Algorithms and techniques,  of stock prices is uncertain and hard to predict. For these reasons, stock price prediction is  the most effective prediction model that generates the most accurate prediction with the lowest , https://eprints.soton.ac.uk/437785/


stock_prediction, 2020, ai_trading, Stock closing price prediction using machine learning techniques,  Accurate prediction of stock market returns is a very challenging task due to volatile and non-linear nature of the financial stock markets. With the introduction of artificial intelligence and , https://www.sciencedirect.com/science/article/pii/S1877050920307924


stock_prediction, 2020, ai_trading, Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong,  In this paper, we build up a stock prediction system and propose an approach that 1)  stock predictions. Experiments have been conducted on more than five years of Hong Kong Stock , https://www.sciencedirect.com/science/article/pii/S0306457319307952


stock_prediction, 2020, ai_trading, Stock market prediction using LSTM recurrent neural network,  past stages and use it for future predictions [7]. In general, an  to improve our predictions and minimize the prediction error.  prices of two stocks in the New York Stock Exchange NYSE (, https://www.sciencedirect.com/science/article/pii/S1877050920304865


stock_prediction, 2020, ai_trading, Using LSTM in stock prediction and quantitative trading,  strategies based on our prediction of performance in 2013:  the prediction for each stock on the next day, if the prediction is positive, we buy the stock at the open price and sell the stock , http://cs230.stanford.edu/projects_winter_2020/reports/32066186.pdf


stock_prediction, 2020, ai_trading, Optimizing LSTM for time series prediction in Indian stock market,  Stock price prediction is the process by which future stock prices are forecast on the basis of past prices. Stock price prediction is useful for investors to increase the profits from stock , https://www.sciencedirect.com/science/article/pii/S1877050920307237


stock_prediction, 2020, ai_trading, A multimodal event-driven LSTM model for stock prediction using online news,  To solve the stock movements prediction problem given data collected at nonuniformly distributed time intervals, we propose an event-driven LSTM model, in which a triggering strategy , https://ieeexplore.ieee.org/abstract/document/8966989/


stock_prediction, 2020, ai_trading, Stock price prediction using convolutional neural networks on a multivariate timeseries,  stock price movements and profit from it. In this work, we propose a hybrid approach for stock price prediction  We select the NIFTY 50 index values of the National Stock Exchange (NSE, https://arxiv.org/abs/2001.09769


stock_prediction, 2020, ai_trading, Comparison of ARIMA, ANN and LSTM for stock price prediction,  LSTM) networks has higher prediction accuracy. This article will  differences in the prediction results of the stock price of the  prediction has been considered as a very effective prediction , https://www.e3s-conferences.org/articles/e3sconf/abs/2020/78/e3sconf_iseese2020_01026/e3sconf_iseese2020_01026.html


stock_prediction, 2020, ai_trading, Application of Markov process for prediction of stock market performance,  stocks that generates maximum profit. When there are advanced method attempting to bring more accurate predictions, the  to compare the performance of 5 different stock market prices , https://kristujayanti.edu.in/SSR-III/3.4.3-Research-Papers/UGC/2019_2020/103.pdf


stock_prediction, 2020, ai_trading, Stock price prediction using the RNN model,  the daily NASDAQ stock exchange  stock market analysis and prediction. In the same year,David MQ Nelson [8] usage of LSTM networks on that scenario, to predict future trends of stock , https://iopscience.iop.org/article/10.1088/1742-6596/1650/3/032103/meta


stock_prediction, 2020, ai_trading, Using machine learning algorithms on prediction of stock price,  and prediction of the time-dependent data. We focus our attention on four different stocks are  To build up models and predict the future stock price, we consider three different machine , http://xpublication.com/index.php/jmo/article/view/411


stock_prediction, 2020, ai_trading, Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction.,  To adapt the stock movement prediction task which takes time series as inputs, we design a variant of Transformer with encoder-only structure which consists of L blocks of multi-head , https://idea.edu.cn/person/guojian/assets/papers/HMSG-transformer-2020.pdf


stock_prediction, 2020, ai_trading, A time series analysis-based stock price prediction using machine learning and deep learning models,  that time series of a stock price can be predicted  of stock price prediction that consists of an agglomeration of statistical, machine learning, and deep learning models. We use daily stock , https://www.inderscienceonline.com/doi/abs/10.1504/IJBFMI.2020.115691


stock_prediction, 2020, ai_trading, Improving S&P stock prediction with time series stock similarity,  if a prediction model improves by adding similar stock during  improve stock prediction with a hybrid approach that combines stock  This section starts with an overview of the stock data , https://arxiv.org/abs/2002.05784


stock_prediction, 2020, ai_trading, Improving stock prediction accuracy using cnn and lstm,  Developing an accurate stock prediction method can help  for significantly improving the stock prediction accuracy using  analysis (PCA) on the prediction accuracy of both 1D-CNN and , https://ieeexplore.ieee.org/abstract/document/9325597/


stock_prediction, 2020, ai_trading, Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE,  Therefore stock price prediction using machine learning  prediction stock prices or stock price trends from a large amount of past data. This research work has compared the prediction , https://www.sciencedirect.com/science/article/pii/S1877050920308851


stock_prediction, 2020, ai_trading, Augmented textual features-based stock market prediction,  research efforts on the prediction of stock market trend using social media data. However, there is a debate in causality between sentiments and trading in stock market. Researchers , https://ieeexplore.ieee.org/abstract/document/9016182/


stock_prediction, 2020, ai_trading, Effect of architecture in recurrent neural network applied on the prediction of stock price,  the methods and techniques of forecasting future prices of two stocks: IAM.PA and ORA.PA.  the stocks and the predictions are made for 22 days in advance. The prediction performance , https://www.iaeng.org/IJCS/issues_v47/issue_3/IJCS_47_3_11.pdf


stock_prediction, 2020, ai_trading, Stock price prediction using CNN and LSTM-based deep learning models,  of stock prices. This paper presents a suite of deep learning-based models for stock price prediction We use the historical records of the NIFTY 50 index listed in the National Stock , https://ieeexplore.ieee.org/abstract/document/9317207/


stock_prediction, 2020, ai_trading, Stock prediction based on genetic algorithm feature selection and long short-term memory neural network,  stock prediction. Thorough empirical studies based upon the China construction bank dataset and the CSI 300 stock  model can outperform all baseline models for time series prediction. , https://ieeexplore.ieee.org/abstract/document/9306838/


stock_prediction, 2020, ai_trading, Stock market prediction using optimized deep-convlstm model,  By considering the drawbacks in the existing stock market prediction techniques, this article introduces the stock market prediction technique to effectively predict the stock price. , https://www.liebertpub.com/doi/abs/10.1089/big.2018.0143


stock_prediction, 2020, ai_trading, Computational intelligence techniques used for stock market prediction: a systematic review,  artigos que contemplam as palavras “stock exchange” e “stock prediction”, sendo a seleção  de busca com as palavras “forecasting” e “prediction”, resultando em 6.556 artigos. E, por , https://ieeexplore.ieee.org/abstract/document/9082218/


stock_prediction, 2020, ai_trading, Incorporating expert-based investment opinion signals in stock prediction: A deep learning framework,  and stock movement prediction. We first introduce our stance  , and enhance stock movement prediction by incorporating  investment opinion mining and individual stock forecasting. , https://ojs.aaai.org/index.php/AAAI/article/view/5445


stock_prediction, 2020, ai_trading, Deep attentive learning for stock movement prediction from social media text and company correlations,  We study stock movement prediction by using natural language, graph-based and numeric features. We propose MAN-SF, a neural model that jointly learns temporally relevant signals , https://aclanthology.org/2020.emnlp-main.676/


stock_prediction, 2020, ai_trading, Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data.,  The first case study is based on stock prediction  stock prediction based on static data. In this work, an effort has been made to develop scalable, fault tolerant models for stock prediction , https://www.researchgate.net/profile/Robertas-Damasevicius-2/publication/346450272_Comparative_Study_of_Real_Time_Machine_Learning_Models_for_Stock_Prediction_through_Streaming_Data/links/5fc304c6299bf104cf8f9e7e/Comparative-Study-of-Real-Time-Machine-Learning-Models-for-Stock-Prediction-through-Streaming-Data.pdf


stock_prediction, 2020, ai_trading, Research of stock price prediction based on PCA-LSTM model,  problems in domestic stock market, such as difficulty in extracting effective features and inaccuracy in stock price forecast. This paper proposes a stock price prediction model based on , https://iopscience.iop.org/article/10.1088/1757-899X/790/1/012109/meta


stock_prediction, 2020, ai_trading, An intelligent technique for stock market prediction,  prediction may help them to take necessary steps to avoid potentially harmful transactions. In this paper, we propose a model for stock market prediction  to stock market prediction. The , https://link.springer.com/chapter/10.1007/978-981-13-7564-4_60


stock_prediction, 2020, ai_trading, An Efficient Stock Market Trend Prediction Using the Real-Time Stock Technical Data and Stock Social Media Data.,  of input and improves stock prediction. The application of these methods establishes the link between news and stock prices and allows us to learn a prediction system using a text , https://inass.org/2020/2020083128.pdf


stock_prediction, 2020, ai_trading, Multi-scale Two-way Deep Neural Network for Stock Trend Prediction.,  Stock Trend Prediction (STP) has drawn wide attention from various fields, especially  of a stock market at various time scales. To automatically learn the multi-scale information in stock , https://www.researchgate.net/profile/Xiaojie-Wang-19/publication/342799504_Multi-scale_Two-way_Deep_Neural_Network_for_Stock_Trend_Prediction/links/627606362f9ccf58eb3422cd/Multi-scale-Two-way-Deep-Neural-Network-for-Stock-Trend-Prediction.pdf


stock_prediction, 2020, ai_trading, Efficient stock-market prediction using ensemble support vector machine,  stock-price  prediction of stock-price in recent years. Of late, Support Vector Machines (SVM) have earned popularity among Machine Learning (ML) algorithms used for predicting stock , https://www.degruyter.com/document/doi/10.1515/comp-2020-0199/html


stock_prediction, 2020, ai_trading, Study of machine learning algorithms for stock market prediction,  of stock prices that can help in predicting the future of a stock in [5]. An analysis of pattern is done in [6] by studying charts to develop predictions of stock  stock prediction is done in [7]. , https://www.academia.edu/download/63676802/study-of-machine-learning-algorithms-for-stock-IJERTV9IS06006420200619-34299-bflylq.pdf


stock_prediction, 2020, ai_trading, Stock market prediction using supervised machine learning techniques: An overview,  learning models in stock market predictions. The  stock market predictions. Support Vector Machine (SVM) was found to be the most frequently used technique for stock price prediction , https://ieeexplore.ieee.org/abstract/document/9411609/


stock_prediction, 2020, ai_trading, Intraday stock prediction based on deep neural network,  In this study, we make predictions of the stock price’s up and down movements in the NSE. The first contribution of this paper is the identification of a trend in data by using a , https://link.springer.com/article/10.1007/s40009-019-00859-1


stock_prediction, 2020, ai_trading, Discovery and prediction of stock index pattern via three-stage architecture of TICC, TPA-LSTM and multivariate LSTM-FCNs,  guided by pattern discovery and prediction of stock index prices maybe more realistic and  prediction of stock index. In the first stage, we use TICC to discover repeated patterns of stock , https://ieeexplore.ieee.org/abstract/document/9129692/


stock_prediction, 2020, ai_trading, Prediction of Stock Market Values using Artificial Intelligence,  of the data about Stock market prediction systems  stock value prediction has been completed by utilizing the irregular woods calculation is being used to anticipate the cost of the stock , https://www.academia.edu/download/64468380/Prediction%20of%20Stock%20Market%20Values%20using.PDF


stock_prediction, 2020, ai_trading, Stock market value prediction using deep learning,  In this study, a deep learning-based approach is applied on the stock historical data to  (LSTM) for prediction of stock value of five well known Turkish companies in the stock market. The , https://dergipark.org.tr/en/pub/joindata/issue/83158/1436778


stock_prediction, 2020, ai_trading, Multi-element hierarchical attention capsule network for stock prediction,  on the stock price change. Since we aim at the binary classification of stock changes identifiable  The same as most researches in the stock prediction task, we predict the stock price , https://ieeexplore.ieee.org/abstract/document/9159584/


stock_prediction, 2020, ai_trading, Indonesian stock price prediction including covid19 era using decision tree regression,  Prediction of stock prices can help investors make decisions on stock market transactions. Prediction of stock prices is used as a consideration in deciding on whether to retain or sell its , https://ieeexplore.ieee.org/abstract/document/9315484/


stock_prediction, 2020, ai_trading, CREST: cross-reference to exchange-based stock trend prediction using long short-term memory,  markets have been exploited for analysis and prediction purposes, a limited  stock exchanges. In this article, the concept of cross-reference to exchange for prediction of Indian stock , https://www.sciencedirect.com/science/article/pii/S1877050920307948


stock_prediction, 2020, ai_trading, Stock price prediction using lstm and search economics optimization,  The dataset being used in this experiment is the stock price of one of the most well-known financial institutes in Indonesia. The SE-Optimized LSTM was able to create a prediction that , http://www.iaeng.org/IJCS/issues_v47/issue_4/IJCS_47_4_17.pdf


stock_prediction, 2020, ai_trading, Cross-sectional stock price prediction using deep learning for actual investment management,  stock price prediction and they are not in line with actual investment management. In this study, we present a cross-sectional daily stock price prediction  in the Japanese stock market to , https://dl.acm.org/doi/abs/10.1145/3399871.3399889


stock_prediction, 2020, ai_trading, Stock market prediction using ensemble of graph theory, machine learning and deep learning models,  stock price prediction problem into a graph problem. Here, to create a stock graph, we can assume that the stocks  to define the relationship between two nodes/stocks. In this paper, the , https://dl.acm.org/doi/abs/10.1145/3378936.3378972


stock_prediction, 2020, ai_trading, Esg2risk: A deep learning framework from esg news to stock volatility prediction,  To assess the possibility to use our ESG2Risk predictions to build more attractive risk-adjusted return portfolios, we split the stocks based on quintiles of volatility predictions and , https://arxiv.org/abs/2005.02527


stock_prediction, 2020, ai_trading, Belt: A pipeline for stock price prediction using news,  In fact, with effective prediction, stocks are a good investment even during periods of market volatility as many stocks are "on sale".News is an important source of signal for stock price , https://ieeexplore.ieee.org/abstract/document/9378345/


stock_prediction, 2020, ai_trading, Stock market prediction using a deep learning approach,  that our Deep LSTM model is suitable for accurate prediction of the stock market time series.  financial time series prediction [4]. For many decades, stock market predictions have been a , https://ieeexplore.ieee.org/abstract/document/9223142/


stock_prediction, 2020, ai_trading, Delisting sharia stock prediction model based on financial information: Support Vector Machine,  prediction accuracy of delisting of ISSI sharia stock reached 71.57% with a percentage error rate of 28.43%. Prediction  case of lising, where the prediction error rate in the listing case is , http://growingscience.com/beta/dsl/3658-delisting-sharia-stock-prediction-model-based-on-financial-information-support-vector-machine.html


stock_prediction, 2020, ai_trading, Trader-company method: a metaheuristic for interpretable stock price prediction,  To overcome this issue and robustify the prediction, we develop a method to combine predictions of multiple Traders. This is in the same spirit as the general and long-standing , https://arxiv.org/abs/2012.10215


algorithmic_trading, 2020, ai_trading, Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python,  We will also look at where ML fits into the investment process to enable algorithmic trading  environment and the context for algorithmic trading and the use of ML more specifically. , https://books.google.com/books?hl=en&lr=&id=4f30DwAAQBAJ&oi=fnd&pg=PP1&dq=Algorithmic+trading&ots=qBsBj7of56&sig=BB6UW8H11PFK4LXUv9p1TSVkLXU


algorithmic_trading, 2020, ai_trading, The virtue of simplicity: On machine learning models in algorithmic trading,  Machine learning models are becoming increasingly prevalent in algorithmic trading and  of devising machine learning-powered trading algorithms. The analysis shows that machine , https://journals.sagepub.com/doi/abs/10.1177/2053951720926558


algorithmic_trading, 2020, ai_trading, An introduction to algorithmic finance, algorithmic trading and blockchain,  , 78, 120, 125 Market maker, 69-70 Market making, 120 Market manipulation, 125-126 Market microstructure algorithmic trading, 75-77 efficient market hypothesis (EMH), 77-78 , https://www.emerald.com/insight/content/doi/10.1108/978-1-78973-893-320201023/full/html


algorithmic_trading, 2020, ai_trading, Mean‐field games with differing beliefs for algorithmic trading,  In contrast to other work on MFGs, as well as its specific application to algorithmic trading, here, motivated by Casgrain and Jaimungal (2016), we include latent states, so that agents do , https://onlinelibrary.wiley.com/doi/abs/10.1111/mafi.12237


algorithmic_trading, 2020, ai_trading, Python for Algorithmic Trading,  algorithmic trading strategies, this book will help you level the playing field. • Set up a proper Python environment for algorithmic trading •  of different algorithmic trading strategies • , https://books.google.com/books?hl=en&lr=&id=g5IIEAAAQBAJ&oi=fnd&pg=PP1&dq=Algorithmic+trading&ots=Tl_vD7a-8U&sig=2Qbx6AIIIRH10nO36LIYTx0UT9g


algorithmic_trading, 2020, ai_trading, Algorithmic trading for online portfolio selection under limited market liquidity,  day (a day ends at time 0, eg 9:30 am or 10:00 am, not midnight, in this paper), and an algorithmic trading strategy cushions the shock by portfolio rebalancing from b n to b n + 1 . , https://www.sciencedirect.com/science/article/pii/S0377221720302642


algorithmic_trading, 2020, ai_trading, Application of Artificial Intelligence in Algorithmic Trading,  This research paper talks about how algorithmic trading  the top five trading strategies adopted in algorithmic trading and the  trading and algorithmic trading and why traditional traders , https://www.ijeast.com/papers/140-149,Tesma412,IJEAST.pdf


algorithmic_trading, 2020, ai_trading, How Does Algorithmic Trading Influence Investor Participation in Peer-to-Peer Online Lending Markets?,  Algorithmic trading has reshaped equity markets and had significant effects on market performance. We examine the effect of algorithmic trading  , because algorithmic trading is typically , https://core.ac.uk/download/pdf/326835698.pdf


algorithmic_trading, 2020, ai_trading, Machine learning for algorithmic trading, The purpose of the study is to confirm the feasibility of using machine learning methods to predict the behavior of the foreign exchange market. The article examines the theoretical and , https://www.e3s-conferences.org/articles/e3sconf/abs/2020/84/e3sconf_TPACEE2020_01019/e3sconf_TPACEE2020_01019.html


algorithmic_trading, 2020, ai_trading, Mathematical problems in algorithmic trading and financial regulation,  We study algorithmic trading strategies in order driven  Two, we model the trading strategy of an investor who spoofs  LOs) and from executing roundtrip trades that are initiated by buy , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3593824


algorithmic_trading, 2020, ai_trading, The anatomy of trading algorithms,  We match the algorithmic trading data with market data from daily Trade and Quote (TAQ) files with millisecond timestamps. We compute the NBBO following the procedures in Holden , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3497001


algorithmic_trading, 2020, ai_trading, Deep learning based regression approach for algorithmic stock trading: A case study of the Bist30,  The last experimental study is an algorithmic process simulation based on the index  Despite 28 buy/sell transactions, 115 transactions have been realized with an algorithmic trading , https://dergipark.org.tr/en/pub/gumusfenbil/issue/57242/707088


algorithmic_trading, 2020, ai_trading, Does Algorithmic Trading Improve Liquidity in Emerging Markets? Empirical Evidence from Thailand,  This study explores the impact of algorithmic trading (AT) on  algorithmic trading (AT) in the Stock Exchange of Thailand on liquidity. AT is a type of trading determined by algorithms, http://www.assumptionjournal.au.edu/index.php/abacjournal/article/view/4755


algorithmic_trading, 2020, ai_trading, An overall view of key problems in algorithmic trading and recent progress,  algorithmic trading, and the progress made in this field over the last twenty years. We first present the key problems of algorithmic trading advances in algorithmic trading through the use , https://arxiv.org/abs/2006.05515


algorithmic_trading, 2020, ai_trading, Regulating algorithmic trading in the new capital markets: a critical analysis of the European Union regime,  This thesis offers a critical analysis of the EU algorithmic trading regime, arguing that it rests  execution algorithms carry less risk than other algorithms; that algorithmic trading has , https://ora.ox.ac.uk/objects/uuid:19eeed4e-99d5-41c9-9bf3-35926d543523


algorithmic_trading, 2020, ai_trading, A new trading algorithm with financial applications,  for algorithmic trading on bid-ask services. Treleaven et al. (2013) and Huang et al. (2019) provide a good literature review on the topic of algorithmic trading.  to algorithmic trading in , https://www.academia.edu/download/103204233/427147188.pdf


algorithmic_trading, 2020, ai_trading, Automated creation of a high-performing algorithmic trader via deep learning on level-2 limit order book data,  , evaluating it against other algorithmic trading systems in the public- traders. Our results demonstrate that DeepTrader learns to match or outperform such existing algorithmic trading , https://ieeexplore.ieee.org/abstract/document/9308266/


algorithmic_trading, 2020, ai_trading, Adversarial attacks on deep algorithmic trading policies,  trading such as high frequency trading of stocks and cyptocurrencies. However, DRL have been shown to be susceptible to adversarial attacks. It follows that algorithmic trading  trading , https://arxiv.org/abs/2010.11388


algorithmic_trading, 2020, ai_trading, Speed traps: Algorithmic trader performance under alternative market structures,  markets with human traders and trading agents, we find superior performance of trading  of trading activity within trading periods. This results from the probabilistic Marshallian order of , https://digitalcommons.chapman.edu/esi_working_papers/334/


algorithmic_trading, 2020, ai_trading, Deep reinforcement learning for automated stock trading: An ensemble strategy,  algorithms on the 30 Dow Jones stocks that have adequate liquidity. The performance of the trading  stage, we evaluate the profitability of each of the algorithms. The whole dataset is , https://dl.acm.org/doi/abs/10.1145/3383455.3422540


algorithmic_trading, 2020, ai_trading, Using Algorithmic Trading to Analyze Short,  It is important to mention that we do not consider machine learning techniques but instead focus on 90 algorithmic trading strategies which do not rely on past trends and patterns, thus , https://pdfs.semanticscholar.org/1e2c/23468603115968d623e97661a0c25446351b.pdf


algorithmic_trading, 2020, ai_trading, Humans in charge of trading robots: The first experiment,  For the rst time, in a controlled setting, we give participants access to algorithmic trading programs (robots) that execute a number of simple strategies. Participants have the opportunity , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3569435


algorithmic_trading, 2020, ai_trading, Backtesting of algorithmic cryptocurrency trading strategies,  This thesis presents a tool for backtesting algorithmic trading strategies for cryptocurrencies.  spaces for algorithmic trading strategies. The tool supports any algorithmic strategy to be , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3620154


algorithmic_trading, 2020, ai_trading, Tradao: A visual analytics system for trading algorithm optimization,  applications of algorithmic trading, it has become critical for traders to build a winning trading algorithm to beat the market. However, due to the lack of efficient tools, traders mainly rely , https://ieeexplore.ieee.org/abstract/document/9331281/


algorithmic_trading, 2020, ai_trading, Assessing WebSocket Protocol Performance for Real-Time Cryptocurrency Algorithmic Trading with Compiled, Intermediate and Interpreted Programming …,  , institutional algorithmic traders use colocation services and place their automated trading  However, geographical location plays a major role for reducing latency of algorithmic trades , http://www.praguecityuniversity.cz/hubfs/Students-degree-projects/Martin_Papik_WebSocket_Protocol.pdf


algorithmic_trading, 2020, ai_trading, Guidelines for building a realistic algorithmic trading market simulator for backtesting while incorporating market impact, In this paper, a shorter and more publication focused version of our recent article “A Bottom-Up Approach to the financial Markets”(Mahdavi-Damghani, & Roberts, S. 2019.) is presented, https://content.iospress.com/articles/algorithmic-finance/af220356


algorithmic_trading, 2020, ai_trading, Investigating algorithmic stock market trading using ensemble machine learning methods,  were applied in algorithmic trading, they all showed volatile and risky trading behavior, and  It is in our opinion that the deployment of the algorithmic trading strategies discussed in this , https://www.informatica.si/index.php/informatica/article/view/2904


algorithmic_trading, 2020, ai_trading, Algorithm-Based Intraday Trading Strategies and their Market Impact, None, None


algorithmic_trading, 2020, ai_trading, Mathematical algorithms and models at trading as an extensive part of digitalization in the industry,  as much as 10% of the overall trading volume. [4] Typically market makers use algorithmic trades to create liquidity. Algorithmic trading also allows for faster and easier execution of , https://elartu.tntu.edu.ua/bitstream/lib/34068/2/TSEFIRS_2020_Kovalchyk_I-Mathematical_algorithms_77-78.pdf


algorithmic_trading, 2020, ai_trading, The effect of algorithmic trading on agricultural commodities market quality,  Some studies have found that algorithmic trading (AT) has a positive effect on market quality  , trading volume and liquidity, and lowering trading costs. Algorithmic traders provide , https://mspace.lib.umanitoba.ca/handle/1993/35173


algorithmic_trading, 2020, ai_trading, A Stochastic LQR Model for Child Order Placement in Algorithmic Trading,  Project Leader for Algo Trading Model Risk at Goldman Sachs, New York, USA. Previously, he had also been a quantitative strategist at the equities Algorithmic Trading desks at both , https://arxiv.org/abs/2004.13797


algorithmic_trading, 2020, ai_trading, Trading,  learned about this kind of trading from the  trading, also known as algorithmic trading, is the trading of securities based strictly on the buy/sell decisions of computer algorithms. The , https://booksdrive.org/wp-content/uploads/2022/03/Quantitative-Trading-by-Ernie-Chan-pdf.pdf


algorithmic_trading, 2020, ai_trading, ALGORITHMIC TRADING USING DATA MINING & DATA ANALYTICS,  of Algorithmic trading or automated trading uses a set of instructions made by humans in a form of computer program to place a order when trading The main aim of algorithmic trading in , https://www.researchgate.net/profile/Praveen-Kumar-367/publication/344386773_ALGORITHMIC_TRADING_USING_DATA_MINING_DATA_ANALYTICS/links/5f6f008b299bf1b53ef45054/ALGORITHMIC-TRADING-USING-DATA-MINING-DATA-ANALYTICS.pdf


algorithmic_trading, 2020, ai_trading, Algorithmic Trading with an Ensemble of Deep Recurrent Q-Networks,  algorithmic trading field is presented. Next, in Section 3, we introduce and formalize the particular algorithmic trading  Section 4 describes the design of our trading strategy in complete , https://julianrfaust.github.io/DeepRLTradingPaper.pdf


algorithmic_trading, 2020, ai_trading, PROPERTY ANALYSIS OF ALGORITHMIC TRADING SYSTEMS BASED ON BINARY REPRESENTATION,  evaluation of algorithmic trading systems constructed based  of appointing parameters for an algorithmic trade system that  in practice the analyzed algorithmic trade systems along with , https://air.ue.katowice.pl/pdf/2020a/21_Stasiak.pdf


algorithmic_trading, 2020, ai_trading, Machine Learning in Algorithmic Trading leading to Reinforced Deep Kalman Filters,  In this thesis, we develop machine learning frameworks that are suitable for algorithmic trading, where environments are volatile, heteroscedastic, and driven by latent factors. The , https://search.proquest.com/openview/15a2f8d1caa0fafb45d4574d132e12f9/1?pq-origsite=gscholar&cbl=18750&diss=y


algorithmic_trading, 2020, ai_trading, Profitable Algorithmic Trading Strategies in Mean-Reverting Markets,  This study focuses on implementing different trading strategies that potentially fall into the category of mean-reversion trading rules. The strategies considered are the Simple (SMA) and , https://www.academia.edu/download/62862578/Algo_Assignment20200407-56324-yg2kvq.pdf


algorithmic_trading, 2020, ai_trading, Microstructure invariance in US stock market trades,  use of electronic order matching systems and algorithmic trading, the coefficients increase to about  of minimum lots size in a world where algorithmic traders split orders into tiny pieces. , https://www.sciencedirect.com/science/article/pii/S1386418116303123


algorithmic_trading, 2020, ai_trading, Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathemetical Finance & Algorithmic Trading, Bounds of Bi-Directional Grid Constrained Stochastic Processes in Mathemetical Finance & Algorithmic Trading  Bounds of Bi-Directional Grid Constrained Stochastic Processes in , https://www.researchgate.net/profile/Aldo-Taranto/publication/344777400_Modern_StochAstic_Models_ProbleMs_Of_Actuarial_MaTHematics_MAMMOTH_Conference_-_Book_of_Abstracts_2020/links/5f8f44d892851c14bcd85313/Modern-StochAstic-Models-ProbleMs-Of-Actuarial-MaTHematics-MAMMOTH-Conference-Book-of-Abstracts-2020.pdf#page=15


algorithmic_trading, 2020, ai_trading, Machine Learning Applications on Algorithmic Trading in the Foreign Exchange Market,  One of the advantages of algorithmic trading is to be able to easily and quickly test a  We will build our algorithmic trading system in such a way as to allow it to take a feed of data from , https://search.proquest.com/openview/9ff2b617ace8b7c417f65a6612f9c1d0/1?pq-origsite=gscholar&cbl=2026366&diss=y


algorithmic_trading, 2020, ai_trading, Stock market prediction on high frequency data using long-short term memory,  Trading (HFT) is part of algorithmic trading, and one of the biggest changes that happened in the last 15 years. HFT or nanotrading represents the ability, for a trader, to  intraday trading , https://www.sciencedirect.com/science/article/pii/S1877050920317877


algorithmic_trading, 2020, ai_trading, Algorithmic Trading Using Long Short-Term Memory Network and Portfolio Optimization,  by systems which do not merely execute given trading orders, but automatically select the  in the field of stock market prediction and algorithmic trading. Section 5 details the dataset , https://www.academia.edu/download/87732715/482229914.pdf


algorithmic_trading, 2020, ai_trading, Does algorithmic trading improve liquidity around dividend announcement? evidence from the stock exchange of Thailand,  the impact of the entry of algorithmic trading on Thailand’s stock  support that the entry of algorithmic trading in Thai stock market  However, the rise of algorithmic trading tend to lead the , https://digital.car.chula.ac.th/chulaetd/7583/


algorithmic_trading, 2020, ai_trading, Accelerating business growth with big data and artificial intelligence,  Algorithmic Trading Trading is one of the key concepts in economics and business. Trading can loosely be  Trading is undertaken by individuals and businesses to earn a profit. The , https://ieeexplore.ieee.org/abstract/document/9243318/


algorithmic_trading, 2020, ai_trading, Information Flow Between Spot and Futures Market-The Role of Algorithmic Traders,  When we split the order imbalance posed by different category of traders, we find that algorithmic traders are not informed and the non-algorithmic traders are responsible for this flow of , https://ifrogs.org/PDF/marketMicrostructure_2020/Banerjee_Banerjee_2020.pdf


algorithmic_trading, 2020, ai_trading, Reliable signals and limit conditions using trigonometric interpolation for algorithmic capital investments,  good results for any algorithmic trading and high-frequency trading software. The functional  Trigonometric Trend Line model to be used in any advanced algorithmic trading software. , https://www.researchgate.net/profile/Cristian-Pauna/publication/338765380_Reliable_Signals_and_Limit_Conditions_using_Trigonometric_Interpolation_for_Algorithmic_Capital_Investments/links/5e297a69299bf152167606cd/Reliable-Signals-and-Limit-Conditions-using-Trigonometric-Interpolation-for-Algorithmic-Capital-Investments.pdf


algorithmic_trading, 2020, ai_trading, Application of artificial intelligence (ai) in islamic investments,  One of the main reasons why algorithmic trading is  and later inform their algorithmic trading system. While humans are  Following these advantages, algorithmic trading is expected to , https://journals.iium.edu.my/iiibf-journal/index.php/jif/article/view/485


algorithmic_trading, 2020, ai_trading, A Trend-following Trading Indicator on Homomorphically Encrypted Data,  Moving Average Convergence Divergence (MACD) indicator, we demonstrate how an algorithmic trader could employ methods of homomorphic encryption to make trading decisions. , https://arxiv.org/abs/2004.11527


algorithmic_trading, 2020, ai_trading, Special issue on AI and FinTech: the challenge ahead,  algorithmic trading, cryptocurrency, blockchains, P2P lending, digital and mobile payments, digital assets, crowdfunding, roboadvising, regtech transformation, etc. AI and data science , https://ieeexplore.ieee.org/abstract/document/9090124/


algorithmic_trading, 2020, ai_trading, FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance,  Taking many complex financial factors into account, DRL trading agents build a multi-factor model and provide algorithmic trading strategies, which are difficult for human traders [3, 47, , https://arxiv.org/abs/2011.09607


ai_regulation_compliance, 2024, ai_trading, Revolutionizing Regulatory Reporting through AI/ML: Approaches for Enhanced Compliance and Efficiency,  with deploying AI/ML solutions in regulatory reporting.  AI/ML technologies can redefine regulatory reporting practices, empowering financial institutions to adeptly navigate regulatory , http://jaigs.org/index.php/JAIGS/article/view/23


ai_regulation_compliance, 2024, ai_trading, Regulatory Compliance and Ethical Considerations: Compliance challenges and opportunities with the integration of Big Data and AI.,  In conclusion, as organizations navigate the integration of Big Data and AI, they must prioritize regulatory compliance and ethical considerations. By doing so, they can unlock the full , https://www.researchgate.net/profile/Hubert-Klaus-2/publication/377330616_Regulatory_Compliance_and_Ethical_Considerations_Compliance_challenges_and_opportunities_with_the_integration_of_Big_Data_and_AI/links/65a07123bc30165e6e3433b4/Regulatory-Compliance-and-Ethical-Considerations-Compliance-challenges-and-opportunities-with-the-integration-of-Big-Data-and-AI.pdf


ai_regulation_compliance, 2024, ai_trading, Artificial intelligence and deep learning: considerations for financial institutions for compliance with the regulatory burden in the United Kingdom,  The pace of technological innovation and the ability of AI systems to think like human beings ( advents in AI, ML and DL in the context of the regulatory compliance challenge faced by , https://www.emerald.com/insight/content/doi/10.1108/JFC-01-2023-0011/full/html


ai_regulation_compliance, 2024, ai_trading, Transforming Data into Compliance: Harnessing AI/ML to Enhance Regulatory Reporting Processes,  aims to investigate the utility of AI-LLM in assessing reporting guideline compliance within this specific domain. Specifically, the research seeks to determine the accuracy of AI-LLM in , https://ojs.boulibrary.com/index.php/JAIGS/article/view/66


ai_regulation_compliance, 2024, ai_trading, Regulatory Compliance: Stay updated on and comply with regulatory requirements for AI applications in healthcare.,  AI regulation and compliance. In conclusion, the future of regulatory compliance in healthcare AI is  of AI into regulatory frameworks, and ethical and legal considerations surrounding , https://www.researchgate.net/profile/Kaledio-Potter/publication/378342413_Regulatory_Compliance_Stay_updated_on_and_comply_with_regulatory_requirements_for_AI_applications_in_healthcare/links/65d5b4daadf2362b634a3a81/Regulatory-Compliance-Stay-updated-on-and-comply-with-regulatory-requirements-for-AI-applications-in-healthcare.pdf


ai_regulation_compliance, 2024, ai_trading, Mastering compliance: a comprehensive review of regulatory frameworks in accounting and cybersecurity,  blockchain, artificial intelligence, and cloud computing in the context of regulatory compliance.  seeking to navigate the complex terrain of compliance in an era of digital transformation. , https://www.fepbl.com/index.php/csitrj/article/view/709


ai_regulation_compliance, 2024, ai_trading, Exploring the challenges of artificial intelligence in data integrity and its influence on social dynamics,  , and experience in AI practice with the effectiveness of AI implementation and data  of regulatory compliance and perceived effectiveness in AI implementation, as well as between AI , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4693987


ai_regulation_compliance, 2024, ai_trading, Compliance of agricultural AI systems–app-based legal verification throughout the development,  compliant AI systems. Note that our app will not replace legal advice but rather create awareness for the developers that AI can  Getting into the topic of AI regulations in agriculture, this , https://opus.hs-osnabrueck.de/files/5372/KruseEtAl_GIL_24_Proceedings.pdf


ai_regulation_compliance, 2024, ai_trading, THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING TAX COMPLIANCE AND FINANCIAL REGULATION,  to explore the role of AI in enhancing tax compliance and financial regulation, drawing on a  of AI on tax compliance and financial regulation, and to outline the key areas where AI can , https://www.fepbl.com/index.php/farj/article/view/822


ai_regulation_compliance, 2024, ai_trading, Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions,  obstacles related to implementing AI TRiSM framework,  regulatory compliance, addressing skill gaps, and acquiring expertise in the field. Finally, it explores the future directions of AI , https://www.sciencedirect.com/science/article/pii/S0957417423029445


ai_regulation_compliance, 2024, ai_trading, Augmenting the Watchdog: AI-Driven Compliance Audits for Enhanced Efficiency and Accuracy,  This proactive approach can help the companies to save huge financial costs and reputational damage by promoting a culture of compliance, as well as reducing loses from regulatory , https://www.researchgate.net/profile/Siva-Karthik-Devineni/publication/378490586_Augmenting_the_Watchdog_AI_-Driven_Compliance_Audits_for_Enhanced_Efficiency_and_Accuracy/links/65dcc7d4c3b52a1170fbc377/Augmenting-the-Watchdog-AI-Driven-Compliance-Audits-for-Enhanced-Efficiency-and-Accuracy.pdf


ai_regulation_compliance, 2024, ai_trading, From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models,  importance of compliance in the era of advanced AI [65, 66]. We believe the EU AI Act is likely to become the blueprint for other jurisdictions to propose their own AI regulations, akin , https://arxiv.org/abs/2402.15770


ai_regulation_compliance, 2024, ai_trading, Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert …,  Furthermore, the improvement deals with the regulatory compliance of businesses. This is a critical field where violations are quickly resulting in a big impact on the business, often both , https://arxiv.org/abs/2401.02986


ai_regulation_compliance, 2024, ai_trading, Explainable and transparent artificial intelligence for public policymaking,  For instance, AI-based  regulations such as the AI Act of the European Union. This paper introduces some of the main technical, operational, regulatory compliance challenges of AI-, https://www.cambridge.org/core/journals/data-and-policy/article/explainable-and-transparent-artificial-intelligence-for-public-policymaking/51D4C6E27CFDEB3CD19EC5E1A6F4FAE7


ai_regulation_compliance, 2024, ai_trading, Ethical implications of artificial intelligence in accounting: A framework for responsible ai adoption in multinational corporations in Jordan,  Governance Committee (CAIGC), responsible for the oversight and regulation of AI  compliances, potential ethical challenges of AI and Key elements of AI framework and the use of AI in , http://growingscience.com/beta/ijds/6492-ethical-implications-of-artificial-intelligence-in-accounting-a-framework-for-responsible-ai-adoption-in-multinational-corporations-in-jordan.html


ai_regulation_compliance, 2024, ai_trading, The Impact of Artificial Intelligence (AI) on Financial Management,  , return on investment and regulatory compliance. The application of AI and machine studying (ML Moreover, guidelines and regulations want to be adapted to trends in AI generation, in , https://journal.ppipbr.com/index.php/productivity/article/view/35


ai_regulation_compliance, 2024, ai_trading, Resolving ethics trade-offs in implementing responsible AI,  it is to implement a given aspect within an AI/ML system, and/or internal organisational needs (eg. regulatory compliance), and/or the preferences of end users of the AI/ML systems [21]. , https://arxiv.org/abs/2401.08103


ai_regulation_compliance, 2024, ai_trading, Artificial intelligence and cyber defense system for banking industry: A qualitative study of AI applications and challenges,  to changes in regulatory frameworks and increasing availability of AI-powered malware.  The KYC procedures and compliance constitute another area where AI may enhance security in , https://www.tandfonline.com/doi/abs/10.1080/01969722.2022.2112539


ai_regulation_compliance, 2024, ai_trading, Ethical reflections on data-centric AI: balancing benefits and risks,  Furthermore, the ethical deployment of AI technologies extends beyond compliance with laws and regulations. It involves a broader social responsibility to ensure that these powerful , https://www.researchgate.net/profile/Kaushikkumar-Patel-4/publication/377263257_Article_ID_IJAIRD_02_01_001_Cite_this_Article_Kaushikkumar_Patel_Ethical_Reflections_on_Data-Centric_AI_Balancing_Benefits_and_Risks/links/659d71bb0bb2c7472b3f02d8/Article-ID-IJAIRD-02-01-001-Cite-this-Article-Kaushikkumar-Patel-Ethical-Reflections-on-Data-Centric-AI-Balancing-Benefits-and-Risks.pdf


ai_regulation_compliance, 2024, ai_trading, Exploring the Impact of Blockchain, AI, and ML on Financial Accounting Efficiency and Transformation,  standards, resilience to adversarial assaults, and regulatory compliance must be taken into consideration when assessing the security of blockchain, AI, and ML in financial accounting. , https://arxiv.org/abs/2401.15715


ai_regulation_compliance, 2024, ai_trading, The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success,  -AI interaction will be pivotal for both regulatory compliance and the advancement of AI in a manner that is both ethical and effective. Such an approach will ensure that AI development , https://arxiv.org/abs/2402.14728


ai_regulation_compliance, 2024, ai_trading, Ethical and regulatory challenges of AI technologies in healthcare: A narrative review,  research can inform policymakers, healthcare professionals, and developers, ensuring that AI benefits are realized without compromising ethical standards or regulatory compliance. , https://www.cell.com/heliyon/pdf/S2405-8440(24)02328-4.pdf


ai_regulation_compliance, 2024, ai_trading, EVOLVING TAX COMPLIANCE IN THE DIGITAL ERA: A COMPARATIVE ANALYSIS OF AI-DRIVEN MODELS AND BLOCKCHAIN TECHNOLOGY IN US TAX …,  in enhancing tax compliance, identifying implementation  that AI and blockchain significantly improve tax compliance  and the need for robust regulatory frameworks. In conclusion, , http://www.fepbl.com/index.php/csitrj/article/view/759


ai_regulation_compliance, 2024, ai_trading, How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation,  AI, non-AI ICT, and non-ICT examples. We demonstrate our contribution by reviewing the AI regulation  Our proposal scores definitions based on their compliance to premises that , https://arxiv.org/abs/2402.05048


ai_regulation_compliance, 2024, ai_trading, Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration,  of privacy policies to ensure alignment with regulations and standards [37-39]. A leading e-commerce platform implemented an AI-driven compliance checker to analyze and assess the , https://arxiv.org/abs/2401.00794


ai_regulation_compliance, 2024, ai_trading, Regulating AI: Challenges and the Way Forward Through Regulatory Sandboxes,  the regulatory sandboxes as an increasing compliance  regulation on artificial intelligence (the AI Act). In this article we analyse the potential of the regulatory sandboxes for regulating AI , https://library.oapen.org/bitstream/handle/20.500.12657/86900/1/978-3-031-41264-6.pdf#page=442


ai_regulation_compliance, 2024, ai_trading, Artificial Intelligence (AI) in Healthcare,  While AI's potential in healthcare is undeniable, ethical considerations, data privacy, and regulatory compliance must be addressed to ensure responsible implementation. Biased , https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4728304


ai_regulation_compliance, 2024, ai_trading, Explainable AI in the Context of Data Engineering: Unveiling the Black Box in the Pipeline,  By unraveling the black box, Explainable AI instills confidence in stakeholders, facilitates regulatory compliance, and ultimately ensures that the benefits of AI can be harnessed , https://www.ijisrt.com/assets/upload/files/IJISRT24JAN1534.pdf


ai_regulation_compliance, 2024, ai_trading, … 't Know If We're Doing Good. I Don't Know If We're Doing Bad”: Investigating How Practitioners Scope, Motivate, and Conduct Privacy Work When Developing AI …,  In our study, we define consumerfacing AI products as products that employ AI technologies that train  We also found that while regulatory compliance is still necessary and helpful to get , https://www.usenix.org/system/files/sec24summer-prepub-71-lee.pdf


ai_regulation_compliance, 2024, ai_trading, Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare,  The technologies discussed herein play a crucial role in helping healthcare organizations navigate the complex landscape of regulatory compliance. By adopting these technologies, , https://www.mdpi.com/2076-3417/14/2/675


ai_regulation_compliance, 2024, ai_trading, AI in Finance: Applications, Risks, and Regulatory Considerations,  AI in risk assessment and regulatory compliance. Dodd-Frank Act provisions: The Dodd-Frank Wall Street Reform and Consumer Protection Act includes provisions related to financial , https://www.researchgate.net/profile/Joseph-Oluwaseyi-2/publication/378429043_AI_in_Finance_Applications_Risks_and_Regulatory_Considerations/links/65d8a63aadc608480ae48cad/AI-in-Finance-Applications-Risks-and-Regulatory-Considerations.pdf


ai_regulation_compliance, 2024, ai_trading, A novel legal analysis of Jordanian corporate governance legislation in the age of artificial intelligence,  Furthermore, this article contributes to organizations’ compliance with legal governance rules  AI and the existing legal frameworks regulating corporate governance and control. Utilizing , https://www.tandfonline.com/doi/abs/10.1080/23311975.2023.2297465


ai_regulation_compliance, 2024, ai_trading, Quantum Computing and AI in the Cloud,  a critical consideration in the deployment of AI in the cloud. The evolving  regulatory compliance. Ensuring that quantum-enhanced AI applications align with industry-specific regulations , http://thesciencebrigade.com/jcir/article/view/116


ai_regulation_compliance, 2024, ai_trading, Socially responsible artificial intelligence empowered people analytics: a novel framework towards sustainability,  has the power to limit the impact of AI-enabled PA through regulating competitions and forcing ethical behaviors. Therefore, law and regulation compliance is a major SRAI concern for , https://journals.sagepub.com/doi/abs/10.1177/15344843231200930


ai_regulation_compliance, 2024, ai_trading, Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network,  China cellular network AI and Big Data Analytics. Scalability, regulatory compliance, and  Innovative regulatory compliance and scalability solutions demonstrate the study's cutting-, https://www.jisem-journal.com/article/incorporating-morris-design-thoughts-for-ai-and-big-data-enabled-coverage-optimization-in-chinas-14076


ai_regulation_compliance, 2024, ai_trading, AI auditing: The broken bus on the road to AI accountability,  Like Luminos, ORCAA and BABL AI, both offer services to help companies comply legal  making and regulation of AI deployments. However, lessons from the broader range of , https://arxiv.org/abs/2401.14462


ai_regulation_compliance, 2024, ai_trading, Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity,  these models introduce challenges in predictability and legal compliance. This paper delves into the legal and regulatory implications of Generative AI and LLMs in the European Union , https://arxiv.org/abs/2401.07348


ai_regulation_compliance, 2024, ai_trading, FinTech Frontiers: Cloud Computing and Artificial Intelligence Applications for Intelligent Finance Investment and Blockchain in the Financial Sector,  Blockchain's distributed nature makes it impossible to alter transaction histories, giving an unalterable log that may be used for auditing and regulatory compliance purposes. , https://www.ijisae.org/index.php/IJISAE/article/view/3846


ai_regulation_compliance, 2024, ai_trading, Considering Fundamental Rights in the European Standardisation of Artificial Intelligence: Nonsense or Strategic Alliance?,  value chain, will have to be able to rely on the detailed, manageable and practical tools and methodologies provided by standards to make their regulatory compliance with the AI Act , https://arxiv.org/abs/2402.16869


ai_regulation_compliance, 2024, ai_trading, AI-Driven DevOps Practices for Healthcare Data Security and Compliance,  how artificial intelligence (AI)-driven DevOps practices can enable robust security and compliance  Stringent regulations like HIPAA mandate that proper safeguards be implemented to , https://www.ijisae.org/index.php/IJISAE/article/view/4822


ai_regulation_compliance, 2024, ai_trading, Unlocking the black box: analysing the EU artificial intelligence act's framework for explainability in AI,  soft to hard law in AI regulation is timely and appropriate  non-compliance and help mitigate the dangers of AI more  , operators and users of AI systems comply with the EU AI Act and its , https://www.tandfonline.com/doi/abs/10.1080/17579961.2024.2313795


ai_regulation_compliance, 2024, ai_trading, E-commerce Inventory Auditing: Best Practices, Challenges, and the Role of Technology,  measures and compliance with data protection regulations. In  of artificial intelligence (AI) in auditing processes. The literature consistently highlights the transformative potential of AI-, https://risejournals.org/index.php/imjrise/article/view/40


ai_regulation_compliance, 2024, ai_trading, Effect of Adopting AI to Explore Big Data on Personally Identifiable Information (PII) for Financial and Economic Data Transformation,  Assess the effectiveness of AI-driven strategies in ensuring regulatory compliance in the financial sector, exploring how AI can aid in adapting to the evolving regulatory landscape. 4. , http://library.go4manusub.com/id/eprint/2055/


ai_regulation_compliance, 2024, ai_trading, A Causal Framework for AI Regulation and Auditing,  Although compliance audits are an ideal regime when possible, the science of AI safety is currently nascent enough that, in many areas of AI governance, compliance audits are at , https://www.preprints.org/manuscript/202401.1424


ai_regulation_compliance, 2024, ai_trading, The Intricacies of Data Privacy in AI-Enhanced Healthcare Systems: A Critical Examination of Challenges and Potential Solutions,  , regulatory compliance, and public engagement to ensure the successful and privacy-respectful implementation of AI  on balancing the benefits of AI in healthcare with the imperative of , https://studies.eigenpub.com/index.php/erst/article/view/63


ai_regulation_compliance, 2024, ai_trading, REVOLUTIONIZING DRUG DELIVERY INNOVATION: LEVERAGING AI-DRIVEN CHATBOTS FOR ENHANCED EFFICIENCY,  regulatory compliance. This discussion outlines the transformative impact of ChatGPT in reshaping drug delivery methodologies. In conclusion, ChatGPT, an AI- Embracing AI tools such , https://www.researchgate.net/profile/Ruba-Malkawi-5/publication/378848488_REVOLUTIONIZING_DRUG_DELIVERY_INNOVATION_LEVERAGING_AI-DRIVEN_CHATBOTS_FOR_ENHANCED_EFFICIENCY/links/65ecc50fb1906066b287e997/REVOLUTIONIZING-DRUG-DELIVERY-INNOVATION-LEVERAGING-AI-DRIVEN-CHATBOTS-FOR-ENHANCED-EFFICIENCY.pdf


ai_regulation_compliance, 2024, ai_trading, Mitigating the adverse effects of AI with the European Union's artificial intelligence act: Hype or hope?,  As the current discussion shows, there is a need for some form of AI regulation, and several  of high-risk AI systems and continuously evaluate the compliance of AI systems with the AIA. , https://onlinelibrary.wiley.com/doi/abs/10.1002/joe.22238


ai_regulation_compliance, 2024, ai_trading, Navigating the Role of Reference Data in Financial Data Analysis: Addressing Challenges and Seizing Opportunities,  integration, and regulatory compliance. Nevertheless, within these challenges lie opportunities for innovation, including advanced data analytics techniques, artificial intelligence, and , http://jaigs.org/index.php/JAIGS/article/view/24


ai_regulation_compliance, 2024, ai_trading, AI-based Personalization and Trust in Digital Finance,  Artificial Intelligence (AI) can help financial institutions tailor  their credit risk management, compliance, and fraud detection  regulations like GDPR and CCPA for shaping trust in AI-, https://arxiv.org/abs/2401.15700


ai_regulation_compliance, 2024, ai_trading, Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act,  of AI companies in light of the recent European regulatory  employees affiliated with 21 AI companies located in Europe  three dimensions: compliance with existing regulation (§4.1), , https://www.researchgate.net/profile/Giovanni-Apruzzese/publication/374287995_Voices_from_the_Frontline_Revealing_the_AI_Practitioners'_viewpoint_on_the_European_AI_Act/links/6516e0423ab6cb4ec6a93d98/Voices-from-the-Frontline-Revealing-the-AI-Practitioners-viewpoint-on-the-European-AI-Act.pdf


ai_regulation_compliance, 2024, ai_trading, The Ethical and Legal Implications of Using Big Data and Artificial Intelligence for Public Relations Campaigns in the United States,  to evolving AI technologies while maintaining compliance with existing regulations and ensuring  debate about the need for a dedicated AI regulatory framework to address these issues , https://www.iprjb.org/journals/index.php/IJCPR/article/view/2273


ai_regulation_compliance, 2024, ai_trading, The impact of AI on accounting practices: A review: Exploring how artificial intelligence is transforming traditional accounting methods and financial reporting,  and development to build AI competency and stresses the importance of ethical considerations and regulatory compliance. The study concludes that while AI presents challenges, its , https://wjarr.com/sites/default/files/WJARR-2023-2721.pdf


ai_regulation_compliance, 2024, ai_trading, Conceptualizing Global Governance of AI,  AI regulation remains in its infant stage. Notably, the UN Education, Scientific  regulation for unified legal and ethical standards; and universal compliance for global consistency in AI , https://www.cigionline.org/documents/2558/DPH-paper-Niazi.pdf


ai_regulation_compliance, 2024, ai_trading, An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering,  AI, the AI Act [19], regulating the technology. Such proposals, which are still at the consultation stage, would apply to AI  reasons: Usability and Regulatory compliance. Moreover, Human , https://link.springer.com/article/10.1007/s43681-023-00394-2


thai_investor_behavior, 2020, ai_trading, Factors influencing investment decision and behaviors of Thai mutual funds investors,  of investor and the change in technology and media that  the behavior and factors influencing Thai mutual fund investors.  the regression analysis to examine the investors behaviors. , https://digital.car.chula.ac.th/chulaetd/7176/


thai_investor_behavior, 2020, ai_trading, Foreign investors' abnormal trading behavior in the time of COVID-19,  investors’ trading behavior is important for researchers and local authorities. In this study, the behavior of foreign investors in Thailand’ In the time of COVID-19, other investor behaviors , https://koreascience.kr/article/JAKO202026061031206.page


thai_investor_behavior, 2020, ai_trading, Herding behavior, case of listed companies in Thailand,  These have the potential to influence the investor's behavior. They are more willing to repress their views to conform to the market's expectations during times of high uncertainty and , https://digital.car.chula.ac.th/chulaetd/7588/


thai_investor_behavior, 2020, ai_trading, Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries,  roles in influencing stock market volatility in Malaysia, Thailand, and Singapore; whereas,  progress of integration with Malaysia and Thailand being closer to Singapore in terms of , https://www.sciencedirect.com/science/article/pii/S1042443120300779


thai_investor_behavior, 2020, ai_trading, Capturing investor sentiment from big data: The effects of online social media on set50 index,  by behavioral finance and investor sentiment theories that investors’ behavior can be  )), we investigate tonal words in Thai; these Thai words are frequently seen in Thai media posts. , https://eprints.soton.ac.uk/441178/


thai_investor_behavior, 2020, ai_trading, The influence of investment knowledge and risk perception on mutual fund choices among Millennials investors in Bangkok metropolitan area,  investor which is largest population in Thailand. The research done have been collected from 427 Millennials mutual fund investors in  of general investment behavior by check all that , http://www.assumptionjournal.au.edu/index.php/icesde/article/view/4957


thai_investor_behavior, 2020, ai_trading, Overconfidence bias, comparative evidences between Vietnam and selected ASEAN countries,  Thai investors are under-confident. The findings of the study shed lights into the existence of overconfidence bias in Vietnam, Thailand,  different aspects of behavioral biases in Vietnam , https://koreascience.kr/article/JAKO202014862061566.page


thai_investor_behavior, 2020, ai_trading, Empirical evidence of profitability anomaly in the Thai stock market,  Determinants of investor behavior in SET50 index futures and options markets: Evidence from Thailand futures exchange. Journal of International Studies, 12(3), 22–30. https://doi.org/, https://www.ceeol.com/search/article-detail?id=978575


thai_investor_behavior, 2020, ai_trading, The V-shaped disposition effect in the Stock Exchange of Thailand,  how investors in the Stock Exchange of Thailand practically trade in response to a magnitude of profits and losses, given a discussion of the widely well-known behavioral explanation, , https://koreascience.kr/article/JAKO202032462596860.page


thai_investor_behavior, 2020, ai_trading, PURCHASING BEHAVIOR OF CHINESE CUSTOMERS TOWARD TO THE PROPERTY IN BANGKOK, THAILAND.,  to Thailand, they are the most enthusiastic property buyers, stetting a new record for Q3 this year. Number two in foreign investors into Thailand The enquiries for Thai property has never , https://grad.dpu.ac.th/upload/content/files/year8-1/8042.pdf


thai_investor_behavior, 2020, ai_trading, Herd behavior and firm-specific information,  As retail investors are dominant in the Thai stock exchange, the results on the herd  His research interest is investor behavior, international finance, and behavioral finance. , https://www.tandfonline.com/doi/abs/10.1080/23322039.2020.1844399


thai_investor_behavior, 2020, ai_trading, The use and analysis of accounting and non-accounting information in equity-based crowdfunding,  Finally, this study can fill the gap between ECF and investor behavior  Thailand. The ECF regulators should find a balance between the amount of investment and protection for investors, https://digital.car.chula.ac.th/chulaetd/53/


thai_investor_behavior, 2020, ai_trading, Does the Information on the Internet Media Respond to the Stock Market?,  This researcher explores and reviews studies that discuss the problem of market reaction based on information available on the internet and social media and looks at investor behavior , https://www.atlantis-press.com/proceedings/piceeba-5-20/125946690


thai_investor_behavior, 2020, ai_trading, … Emission Disclosure and Its Impact on Economic Consequences in Non-Financial Registered Companies in Indonesia, Malaysia, Thailand and The Philippines …,  The financial result in this study is the decision-making behavior of businesses,  This study's sample amounted to 45 companies registered in Indonesia, Malaysia, Thailand, and the , http://journal.unj.ac.id/unj/index.php/jdmb/article/view/20595


thai_investor_behavior, 2020, ai_trading, The mediating role of CSR on corporate reputation and behavioral intention: A study of Thai gen Y consumers,  behavioral intention with regard to consumers in Thailand’s Generation Y. As this study was conducted in Thailand,  the values and lifestyle of Thai consumers mostly engage with media , http://164.115.28.46/nrctejournal/file_upload/digital_file/328_fe3d1.pdf


thai_investor_behavior, 2020, ai_trading, Firm-specific investor sentiment and the stock market response to earnings news: evidence from Thailand,  Investors do not automatically respond to all of the information contained within the earnings announcement making the drift due there are behavioral biases in the investors’ responses , http://ethesisarchive.library.tu.ac.th/thesis/2020/TU_2020_6202042088_14415_14156.pdf


thai_investor_behavior, 2020, ai_trading, The Effect of Financial Variables on Systematic Risk in Six Industries in Thailand,  influence on the behavior of systematic risk in six industries of Thailand, the period of  in Thai consumer goods, technology, telecommunication, utilities, and health care. However, Thai , https://i-proclaim.my/journals/index.php/abcjar/article/view/512


thai_investor_behavior, 2020, ai_trading, Bank Risk-Taking Behavior during a Prolonged Low Interest Rate Era: The Case of Thailand,  commercial bank risk-taking channels in Thailand. Second, this paper also attempted to verify that small- and medium-sized bank risk-taking behavior differed from that of large-sized , http://kuojs.lib.ku.ac.th/index.php/jems/article/view/3127


thai_investor_behavior, 2020, ai_trading, The influences of participatory management and corporate governance on the reduction of financial information asymmetry: Evidence from Thailand,  behavior. Financial fraud has become a serious issue for years and attracted the public, press, investors,  to solve the problem of opportunistic behavior, fraud, and corruption that may , https://koreascience.kr/article/JAKO202032462597162.page


thai_investor_behavior, 2020, ai_trading, The Effects of Thailand Country Images on Chinese Tourist Behavioral Intention in Thailand,  the Thailand Country Images and to study Behavioral Intention of Chinese tourists in Thailand Country Images and Behavioral Intention of Chinese tourists in Thailand and discovers the , http://202.28.34.124/dspace/handle/123456789/1182


thai_investor_behavior, 2020, ai_trading, Ownership Restriction and Investor Behavior: Focused on Vietnamese Stock Market, This paper examines the change of investor behavior before and after the deregulation of foreign ownership restriction as Vietnamese government abolished foreign ownership’s , https://www.researchgate.net/profile/Jay-Chung-4/publication/340779757_Ownership_Restriction_and_Investor_Behavior_Focused_on_Vietnamese_Stock_Market/links/6310040b1ddd44702125dad3/Ownership-Restriction-and-Investor-Behavior-Focused-on-Vietnamese-Stock-Market.pdf


thai_investor_behavior, 2020, ai_trading, MOTIVATING FACTORS BEHIND NORWEGIANS INVESTMENT DECISION ON PROPERTIES IN THAILAND,  Thailand has experienced a formidable growth in property investment from western investors the last decade (Tan, 2017). Especially the condominium market, which has had a steady , https://grad.dpu.ac.th/upload/content/files/year8-1/8044.pdf


thai_investor_behavior, 2020, ai_trading, Compulsive gambling in the financial markets: Evidence from two investor surveys,  investors in the financial markets show symptoms of gambling disorder, a behavioral addiction  There is a rich literature on individual investor behavior showing that some retail investors , https://www.sciencedirect.com/science/article/pii/S0378426619302808


thai_investor_behavior, 2020, ai_trading, Board, audit committee, ownership and financial performance–emerging trends from Thailand,  Unlike previous literature on the Thai market, this study is the first to use the more advanced  of ownership structure variables on market-based firm performance in Thai-listed firms. , https://www.emerald.com/insight/content/doi/10.1108/PAR-10-2018-0079/full/html


thai_investor_behavior, 2020, ai_trading, Prolonged Low Interest Rates and Commercial Bank Lending Behavior: A Case Study of Thailand,  in Thailand to adjust bank lending behavior. If the results show that prolonged low interest rates caused banks to adjust lending behavior  behavior of commercial banks in Thailand from , https://so04.tci-thaijo.org/index.php/jkbu/article/view/240309


thai_investor_behavior, 2020, ai_trading, Millennials' intention in stock investment: extended theory of planned behavior,  In contrast, compared to other countries in Asia, for example, Malaysia has approximately 57 percent of the total population already investing in the capital market, Thailand at 6 percent, , https://journals.ums.ac.id/index.php/reaksi/article/view/10268


thai_investor_behavior, 2020, ai_trading, Effects of Travel Intention, Organizational Response, and Perception of Control Due to COVID-19 on Thai Tourists' Behavior,  situation of tourism industry of Thailand faced various challenges due to  The current study examined the Thai tourists’ behavior  COVID-19, perception of control, Thai tourists’ behavior , https://www.revistaclinicapsicologica.com/data-cms/articles/20201229084416pmSSCI-442.pdf


thai_investor_behavior, 2020, ai_trading, Does the increase in liquidity attenuate returns anomalies in the Thai stock markets?,  However, given the differences in the majority of investors between US and Thai stock markets, the main question that this paper would like to address is ‘In the Thai stock markets, does , https://digital.car.chula.ac.th/chulaetd/7585/


thai_investor_behavior, 2020, ai_trading, Time Paths of Weather-Induced Mood Effects on Stock Returns,  Using the daily returns on the Stock Exchange of Thailand index portfolio and the weather  and trading behaviors (Peterson, 2007). Aggregate investors’ behaviors pressure stock prices , https://www.researchgate.net/profile/Anya-Khanthavit/publication/328234050_Time_Paths_of_Weather-Induced_Mood_Effects_on_Stock_Returns/links/5bc089b0a6fdcc2c91f72eb9/Time-Paths-of-Weather-Induced-Mood-Effects-on-Stock-Returns.pdf


thai_investor_behavior, 2020, ai_trading, The impact of national social capital on business creation rates in the formal vs informal sectors, Purpose Through utilizing social capital as an overarching concept, the purpose of this article is to investigate cross-country rates of business formation in the formal vs informal sectors. , https://www.emerald.com/insight/content/doi/10.1108/IJEBR-02-2020-0071/full/html


thai_investor_behavior, 2020, ai_trading, An analysis of herding behavior in the stock market: A case study of the Asean-5 and the United States,  in all the stock markets in our sample, except the Thailand stock market.  We find that herding behavior driven by changes in policy rates is found to occur in the Indonesian and Thailand , https://bulletin.bmeb-bi.org/bmeb/vol23/iss3/1/


thai_investor_behavior, 2020, ai_trading, Fintech, financial literacy, and consumer saving and borrowing: The case of Thailand,  facts about financial behavior and financial literacy, as obtained from the Thai Households  facts relating to financial behavior and financial literacy in Thailand. These stylized facts are , https://www.econstor.eu/handle/10419/238457


thai_investor_behavior, 2020, ai_trading, … to good: Effect of Thai consumers' awareness of corporate social innovation (CSI) on the innovation adoption factors, predictors of behavioral intention, and brand …,  compatibility), predictors of behavioral intention (including subjective norm, attitude, and perceived behavioral control), and their purchase intention among Thai consumers. A total of , http://dspace.bu.ac.th/handle/123456789/4600