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Speed traps: Algorithmic trader performance under alternative market structures Jason Shachata Lijia Weib Peng Yanc S. Sarah Zhangd [Preliminary: Please do not cite without permission of the authors.]Abstract
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Define your trading objectives and goals.
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Pre-trade algorithmic trading refers to the use of algorithms to analyze and execute trades in financial markets before the trades are finalized. It allows traders to gauge market conditions and optimize trading strategies prior to placing orders.
Typically, institutional traders, hedge funds, and other financial entities utilizing algorithmic trading strategies are required to file pre-trade algorithmic trading reports, ensuring compliance with regulatory standards.
To fill out a pre-trade algorithmic trading report, traders must provide details about the trade, including the asset being traded, the volume, price limits, algorithm types, and any other relevant information required by regulatory bodies.
The purpose of pre-trade algorithmic trading is to enhance market transparency, ensure proper risk management, and comply with regulatory requirements by providing an overview of planned trading activities before they occur.
The information that must be reported typically includes the trading entity's identification, order types, asset details, expected trading volumes, price limits, and the algorithms being employed.
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