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Managing the prediction of metrics in high-frequency financial markets is a challenging task.
An electronic market-maker
Chan, N. T. & Shelton, C. (2001) · 2001
Earlier work this paper cites.
Technical report
Kim, A. J. (2001) · 2001
Earlier work this paper cites.
Continuous trading or call auctions: Revealed preferences of investors at the tel aviv stock exchange
Kalay, A., Wei, L., & Wohl, A. (2002) · 2002
Earlier work this paper cites.
Measuring stock illiquidity: An investigation of the demand and supply schedules at the tase
Kalay, A., Sade, O., & Wohl, A. (2004) · 2004
Earlier work this paper cites.
Order aggressiveness in limit order book markets
Ranaldo, A. (2004) · 2004
Earlier work this paper cites.
A hybrid arima and support vector machines model in stock price forecasting
Pai, P.-F. & Lin, C.-S. (2005) · 2005
Earlier work this paper cites.
Bayesian adaptive trading with a daily cycle
Almgren, R. & Lorenz, J. (2006) · 2006
Earlier work this paper cites.
Order book characteristics and the volume–volatility relation: Empirical evidence from a limit order market
Næs, R. & Skjeltorp, J. A. (2006) · 2006
Earlier work this paper cites.
The Limit Order Book Information and the Order Submission Strategy: A Model Explanation. In Service Systems and Service Management, 2006 International Conference on (Vol. 1, pp. 687-691). IEEE
Yu, Y. (2006, October) · 2006
Earlier work this paper cites.
Hide-and-seek in the market: placing and detecting hidden orders
De Winne, R. & D’hondt, C. (2007) · 2007
Earlier work this paper cites.
High-frequency trading in a limit order book
Avellaneda, M. & Stoikov, S. (2008) · 2008
Earlier work this paper cites.
The information content of an open limit-order book
Cao, C., Hansch, O., & Wang, X. (2009) · 2009
Earlier work this paper cites.
Trading costs and returns for us equities: Estimating effective costs from daily data
Hasbrouck, J. (2009) · 2009
Earlier work this paper cites.
Development and performance evaluation of flann based model for forecasting of stock markets
Majhi, R., Panda, G., & Sahoo, G. (2009) · 2009
Earlier work this paper cites.
Prototype vector machine for large scale semi-supervised learning. In Proceedings of the 26th Annual International Conference on Machine Learning (pp. 1233-1240). ACM
Zhang, K., Kwok, J. T., & Parvin, B. (2009, June) · 2009
Earlier work this paper cites.
Daily volume forecasting using high frequency predictors. In Proceedings of the 10th IASTED International Conference (Vol. 674, No. 047, p. 248)
Alvim, L. G., dos Santos, C. N., & Milidiu, R. L. (2010) · 2010
Earlier work this paper cites.
Multiple kernel learning on the limit order book
Fletcher, T., Hussain, Z., & Shawe-Taylor, J. (2010) · 2010
Earlier work this paper cites.
Is market fragmentation harming market quality?
O’Hara, M. & Ye, M. (2011) · 2011
Earlier work this paper cites.
Model calibration and automated trading agent for euro futures
Creamer, G. (2012) · 2012
Earlier work this paper cites.
Extreme learning machine for regression and multiclass classification
Huang, G.-B., Zhou, H., Ding, X., & Zhang, R. (2012) · 2012
Earlier work this paper cites.
Prediction based-high frequency trading on financial time series
Levendovszky, J. & Kia, F. (2012) · 2012
Cited alongside, same era.
Behavior based learning in identifying high frequency trading strategies. In Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012 IEEE Conference on (pp. 1-8). IEEE
Yang, S., Paddrik, M., Hayes, R., Todd, A., Kirilenko, A., Beling, P., & Scherer, W. (2012, March) · 2012
Cited alongside, same era.
Price jump prediction in limit order book
Zheng, B., Moulines, E., & Abergel, F. (2012) · 2012
Cited alongside, same era.
Assessing and combining financial conditions indexes
Aramonte, S., Schindler, J. W., & Rosen, S. (2013) · 2013
Cited alongside, same era.
Very fast money: High-frequency trading on the nasdaq
Carrion, A. (2013) · 2013
Cited alongside, same era.
Prediction of hidden liquidity in the limit order book of globex futures
Computational visual analysis of the order book dynamics for creating high-frequency foreign exchange trading strategies
Sandoval, J. & Hernández, G. (2015) · 2015
Later among the works it cites.
Using machine learning for medium frequency derivative portfolio trading
Sharang, A. & Rao, C. (2015) · 2015
Later among the works it cites.
Gaussian process-based algorithmic trading strategy identification
Yang, S. Y., Qiao, Q., Beling, P. A., Scherer, W. T., & Kirilenko, A. A. (2015) · 2015
Later among the works it cites.
An empirical detection of high frequency trading strategies
Bogoev, D. & Karam, A. (2016) · 2016
Later among the works it cites.
High frequency market making with machine learning
Dixon, M. (2016) · 2016
Later among the works it cites.
Neural networks performance in exchange rate prediction
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Christensen, H. L. & Woodmansey, R. (2013) · 2013
Cited alongside, same era.
Limit order books
Gould, M. D., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., & Howison, S. D. (2013) · 2013
Cited alongside, same era.
Low-latency trading
Hasbrouck, J. & Saar, G. (2013) · 2013
Cited alongside, same era.
Machine learning for market microstructure and high frequency trading. High frequency trading: New realities for traders, markets and regulators. Risk Books
Kearns, M. & Nevmyvaka, Y. (2013) · 2013
Cited alongside, same era.
Discovering the ecosystem of an electronic financial market with a dynamic machine-learning method
Mankad, S., Michailidis, G., & Kirilenko, A. (2013) · 2013
Cited alongside, same era.
High-frequency trading and price discovery
Brogaard, J., Hendershott, T., & Riordan, R. (2014) · 2014
Cited alongside, same era.
Effects of the limit order book on price dynamics
Cenesizoglu, T., Dionne, G., & Zhou, X. (2014) · 2014
Cited alongside, same era.
Galeshchuk, S. (2016) · 2016
Later among the works it cites.
Testing for causality in continuous time bayesian network models of high-frequency data
Hallgren, J. & Koski, T. (2016) · 2016
Later among the works it cites.
Empirical analysis: stock market prediction via extreme learning machine
Li, X., Xie, H., Wang, R., Cai, Y., Cao, J., Wang, F., Min, H., & Deng, X. (2016) · 2016
Later among the works it cites.
Mid-price prediction in a limit order book
Palguna, D. & Pollak, I. (2016) · 2016
Later among the works it cites.
Designating market maker behaviour in limit order book markets
Panayi, E., Peters, G. W., Danielsson, J., & Zigrand, J.-P. (2016) · 2016
Later among the works it cites.
Deep learning for limit order books
Sirignano, J. (2016) · 2016
Later among the works it cites.
Estimation of exchange rate models after news announcement
Suwanpetai, P. (2016) · 2016
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Improving risk-adjusted performance in high frequency trading using interval type-2 fuzzy logic
Vella, V. & Ng, W. L. (2016) · 2016
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Short-term stock price prediction based on limit order book dynamics
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Identifying expensive trades by monitoring the limit order book
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Approximate kernel extreme learning machine for large scale data classification
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A model for unpacking big data analytics in high-frequency trading
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Distance-based high-frequency trading
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