Results 321 to 330 of about 6,744,718 (372)

Insider trading and the algorithmic trading environment

International Review of Finance, 2021
AbstractWe examine how algorithmic trading (AT) changes the trading environment for corporate insiders, specifically in terms of motivation to trade and timing of trade. Using SEC Form 4 insider filings and AT computed from the limit order book, we find that AT affects insiders' decisions to buy or sell, depending on whether the trades are information ...
Millicent Chang, John Gould, Yuyun Huang, Sirimon Treepongkaruna, Joey Wenling Yang   +4 more
openaire   +1 more source

Algorithmic Trading and AI: A Review of Strategies and Market Impact

World Journal of Advanced Engineering Technology and Sciences
This review explores the dynamic intersection of algorithmic trading and artificial intelligence (AI) within financial markets. It delves into the evolution, strategies, and broader market impact of algorithmic trading fueled by AI technologies ...
Wilhelmina Afua Addy, Adeola Olusola Ajayi-Nifise, Binaebi Gloria Bello, Sunday Tubokirifuruar Tula, Olubusola Odeyemi, T. Falaiye   +5 more
semanticscholar   +1 more source

Machine learning in financial markets: A critical review of algorithmic trading and risk management

International Journal of Science and Research Archive
The integration of machine learning (ML) techniques in financial markets has revolutionized traditional trading and risk management strategies, offering unprecedented opportunities and challenges.
Wilhelmina Afua Addy, Adeola Olusola Ajayi-Nifise, Binaebi Gloria Bello, Sunday Tubokirifuruar Tula, Olubusola Odeyemi, T. Falaiye   +5 more
semanticscholar   +1 more source

Algorithmic Trading with Combination of Advanced Technical Indicators – An Automation

International Journal for Sciences and Technology
A novel deep learning framework for automated stock trading signal generation is proposed, leveraging Exponential Moving Average (EMA) crossover, average traded volume, and Parabolic SAR as feature inputs.
Soumick Adhikary, Arup Kadia
semanticscholar   +1 more source

FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

arXiv.org
There are multiple sources of financial news online which influence market movements and trader's decisions. This highlights the need for accurate sentiment analysis, in addition to having appropriate algorithmic trading techniques, to arrive at better ...
Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony Constantinides, Danilo Mandic   +4 more
semanticscholar   +1 more source

Algorithmic Trading using Technical Indicators

International Conference on Communication, Information & Computing Technology, 2021
Financial markets are volatile and dynamic. The uncertainties involved in the market and various economic factors affect the asset price. Predicting trends in asset prices and calculating future value of an asset is a very challenging task.
Tanishq Salkar, A. Shinde, Neelaya Tamhankar, Narendra Bhagat   +3 more
semanticscholar   +1 more source

ALGORITHMIC TRADING

2013
Preface ix CHAPTER 1 Backtesting and Automated Execution 1 CHAPTER 2 The Basics of Mean Reversion 39 CHAPTER 3 Implementing Mean Reversion Strategies 63 CHAPTER 4 Mean Reversion of Stocks and ETFs 87 CHAPTER 5 Mean Reversion of Currencies and Futures 107 CHAPTER 6 Interday Momentum Strategies 133 CHAPTER 7 Intraday Momentum Strategies 155 CHAPTER 8 ...
openaire   +2 more sources

Regulation of Algorithmic Trading: Frameworks or Human Supervision and Direct Market Interventions

European Business Law Review, 2022
This paper identifies the regulatory gaps that currently exist in algorithmic trading and provides a framework for machine learning regulation in finance.
Joseph Lee, Lukas Schu
semanticscholar   +1 more source

Algorithmic trading and machine learning: Advanced techniques for market prediction and strategy development

World Journal of Advanced Research and Reviews
This paper provides an in-depth examination of advanced techniques in algorithmic trading and machine learning, focusing on their impact on market prediction and trading strategies.
Mayowa Timothy Adesina, Sunday David Esebre, Abdullah Tunde Adewuyi, Moshood Yussuf, Oluwaseun Aaron Adigun, Temitope Dickson Olajide, Comfort Idongesit Michael, Divine ILOH   +7 more
semanticscholar   +1 more source

Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis

Global Disclosure of Economics and Business, 2021
This paper uses machine learning to examine how robots and algorithmic trading have transformed stock market trend analysis. The main goals are to assess how these sophisticated systems improve prediction accuracy, trading efficiency, market liquidity ...
Jaya Chandra Srikanth Gummadi, Christopher Ryan Thompson, Narasimha Rao Boinapalli, Rajasekhar Reddy Talla, Deekshith Narsina   +4 more
semanticscholar   +1 more source