This paper presents a new financial market simulator that may be used as a tool in both industry and academia for research in market micro-structure. It allows multiple automated traders and/or researchers to simultaneously connect to an exchange-like environment, where they are able to...

This paper introduces a new methodology for an alternative calculation of market volatility index based on a multinomial tree approximation of a stochastic volatility model. The estimation is performed by constructing synthetic options with consistent properties. Several variants of this index...

In this work we present a methodology to detect rare events which are defined as large price movements relative to the volume traded. We analyze the behavior of equity after the detection of these rare events. We provide methods to calibrate trading rules based on the detection of these events...

Liquidity is one of the crucial factors in economy which reflects smooth operation of the markets. In a liquid market, traders are able to transact large quantities of security quickly with minimal trading cost and price impact. Many researchers have investigated the relationship between market...

This paper extends previous research done with the SHIFT financial market simulation platformAlves et al. (2020). In the cited work, we show how this order-driven, distributed asynchronous andmulti-asset simulated environment is capable of reproducing known stylized facts of real...