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20192026
most citedABIDES: Towards High-Fidelity Market Simulation for AI Research

35 citations · 225 across the 65 of their papers we have counts for

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7 papers · 1 filter

q-fin.TR2019★ 8 cited

Get Real: Realism Metrics for Robust Limit Order Book Market Simulations

Svitlana Vyetrenko, David Byrd, Nick Petosa +4

Machine learning (especially reinforcement learning) methods for trading are increasingly reliant on simulation for agent training and testing. Furthermore, simulation is important…

q-fin.CP2019★ 3 cited

On the Importance of Opponent Modeling in Auction Markets

Mahmoud Mahfouz, Angelos Filos, Cyrine Chtourou +5

The dynamics of financial markets are driven by the interactions between participants, as well as the trading mechanisms and regulatory frameworks that govern these interactions. D…

q-fin.TR2019★ 2 cited

Intra-day Equity Price Prediction using Deep Learning as a Measure of Market Efficiency

David Byrd, Tucker Hybinette Balch

In finance, the weak form of the Efficient Market Hypothesis asserts that historic stock price and volume data cannot inform predictions of future prices. In this paper we show tha…

cs.CV2019★ 3 cited

The Effect of Visual Design in Image Classification

Naftali Cohen, Tucker Balch, Manuela Veloso

Financial companies continuously analyze the state of the markets to rethink and adjust their investment strategies. While the analysis is done on the digital form of data, decisio…

cs.CV2019

Trading via Image Classification

Naftali Cohen, Tucker Balch, Manuela Veloso

The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series an…

q-fin.TR2019★ 11 cited

How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation?

Tucker Hybinette Balch, Mahmoud Mahfouz, Joshua Lockhart +2

We show how a multi-agent simulator can support two important but distinct methods for assessing a trading strategy: Market Replay and Interactive Agent-Based Simulation (IABS). Ou…

cs.MA2019★ 35 cited

ABIDES: Towards High-Fidelity Market Simulation for AI Research

David Byrd, Maria Hybinette, Tucker Hybinette Balch

We introduce ABIDES, an Agent-Based Interactive Discrete Event Simulation environment. ABIDES is designed from the ground up to support AI agent research in market applications. Wh…