Angel, J; & McCabe, D. M. (2011). Fairness in Financial Markets: The Case of High Frequency Trading. McCabe.
http://dx.doi.org/10.2139/ssrn.1737887.
Anvari-Rostami, A.-A. K. (2006). A comparative study of ranking top companies based on profitability ratios and Tehran Stock Exchange indices.
Accounting and Auditing Reviews, 25-43,
https://acctgrev.ut.ac.ir/article_18489.html ( In Persian )
Badri, A. (2016). Investigating the impact of macroeconomic variables on stock market performance.
Financial Management Perspectives, 9-35,
https://jfmp.sbu.ac.ir/article_94794.html. ( In Persian ).
BALDAUF, M; & MOLLNER, J. (2021). High-Frequency Trading and Market Performance.
Finance, 1495-1526, 75 (3). doi:
https://doi.org/10.1111/jofi.12882
Ebrahimpur, A; & Ahmadpur, M. (2017). Investigating the effect of the main financial and economic indicators on profitability (companies admitted to the Tehran Stock Exchange).
Accounting and auditing reviews, 1-14,
https://acctgrev.ut.ac.ir/article_25032.html. ( In Persian )
Ghorbani, A; Zadehfar, Y; Ali, C; & Seyed, M. (2019). Predicting Stock Trading Signals Using Colored Petri Nets and Genetic Algorithm (Case Study: Tehran Stock Exchange).
Executive Management Research, 206, doi:
10.22080/jem.2020.17593.3034 ( In Persian )
GuangWei Shi, Y. C. (2020). High-Frequency Trading and Its Impact on Exogenous Liquidity Risk of China’s Stock Index Futures Market before and after Trading Restrictions. Hindawi Complexity,
https://doi.org/10.1155/2020/9192841
Hagströmer, B; Norden, L. L; & Zhang, D. (2014). How Aggressive are High‐Frequency Traders?
Financial Review, 395-419, 49 (2).
https://doi.org/10.1111/fire.12041
HENDERSHOTT, T; JONES, C. M; & MENKVELD, A. J. (2011). Does Algorithmic Trading Improve Liquidity?
Finance, 66 (1).
https://doi.org/10.1111/j.1540-6261.2010.01624.x
Hirabayashi, A; Aranha, C; & Iba, H. (2009). Optimization of the trading rule in foreign exchange using genetic algorithm. Conference: Genetic and Evolutionary Computation Conference. Montreal, Québec, Canada.
https://doi.org/10.1145/1569901.1570106
Imen Ben Ammar, S. H. (2022). High-frequency trading, stock volatility, and intraday crashes.
The Quarterly Review of Economics and Finance, 334-337, 84.
https://doi.org/10.1016/j.qref.2022.03.004
Jaya M. Prosad, S. K. (2015). Theory of Behavioral Finance.
doi:10.4018/978-1-4666-7484-4.ch001
Korajczyk, & Murphy. (2018). High Frequency Market Making to Large Institutional Trades. Economics Market Structure .
doi:10.2139/ssrn.2567016
Korajczyk, R; & Murphy, D. (2019). High Frequency Market Making to Large Institutional Trades.
Financial Studies. 1034-1067, 32 (3).
http://dx.doi.org/10.2139/ssrn.2567016
Lee, S.-K; & Moon, B. R. (2009). Finding attractive rules in stock markets using a modular genetic programming. Conference: Genetic and Evolutionary Computation Conference. Montreal, Québec, Canada,.
doi:10.1145/1569901.1570244
MacKenzie, D. (2018). Material Signals: A Historical Sociology of High-Frequency Trading. The University of Chicago, 1635-1683, 123,
https://www.sps.ed.ac.uk/sites/default/files/assets/pdf/material-signals.pdf
Marie-Claude Beaulieu, Jean-Claude Cosset, Naceur Essaddam. (2006). Political uncertainty and stock market returns.
Canadian Journal of Economic, 621-641,
http://dx.doi.org/10.2139/ssrn.841344
Mattli, W. (2008). Global Algorithmic Capital Markets: High Frequency Trading, Dark Pools, and Regulatory Challenges Global Algorithmic Capital Markets : High Frequency Trading, Dark Pools, and Regulatory Challenges.
https://doi.org/10.1093/oso/9780198829461.003.0009
Menkveld, A. J; & Zoican, M. (2017). Need for Speed? Exchange Latency and Liquidity. Financial Studies, 1188-1228,
http://dx.doi.org/10.2139/ssrn.2442690
Moon; S.-k. L.-R. (2009). Finding attractive rules in stock markets using a modular genetic programming. In GECCO .
Murphy, J. J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York Institute of Finance.
https://docs.preterhuman.net/John_J._Murphy_-_Technical_Analysis_of_the_Financial_Market.
Rastegar, M; & Dastpak, M. A. (2015). Presenting a high-repetition trading model in Tehran Stock Exchange. Scientific Research Quarterly of Investment Knowledge, 71-88,
https://sanad.iau.ir/Journal/jik/Article/844005 ( In Persian )
Robert Jarrow, P. P. (2015). The Effect of Trading Futures on Short Sale Constraints. Mathematical Finance, 311-388, 25 (2),
doi:http://dx.doi.org/10.1111/mafi.12013
Samadi, S; Shirani Fakhr, Z; & Davrzadeh, M. (2007). Investigating the effectiveness of stock price index of Tehran Stock Exchange on global oil and gold prices (modeling and forecasting). Quarterly Journal of Economic Reviews, 25-51,
https://ensani.ir/file/download/article/20100913103819-p0348200130251-DA3GA4.pdf (In Persain ).
Shahadai, S. M. (2020).
Fundamental analysis in Iran's capital market. Challenge.
https://chalesh.ir/product/fundamental/. (In Persian)
Taghavi, M; & Mohammadzadeh, A. (2002). Capital Market Reaction to Macroeconomic Variables. Economic Research Journal, 13-66, 14,
https://joer.atu.ac.ir/article_3112.html (In Persian)
Xiaojie Xu, Y. Z. (2023). A high-frequency trading volume prediction model using neural networks. Decision Analytics.
https://doi.org/10.1016/j.dajour.2023.100235
Zaharudin, Khairul Zharif, Martin R. Young, and Wei-Huei Hsu. (2021). High-frequency trading: Definition, implications, and controversies.
Journal of Economic Surveys ,75-107.
https://doi.org/10.1111/joes.12434.
Zhou, H; & Kalev, P. S. (2018). Algorithmic and high frequency trading in Asia-Pacific, now and the future.
Pacific-Basin Finance Journal. doi:10.1016/j.pacfin.2018.10.006