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Algorithmic Trading

机译:算法交易

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摘要

Buy-side firms are gravitating toward rules-based systems that are often supplied by brokers. These mathematical models analyze every quote and trade in the stock market, identify liquidity opportunities and turn that information into intelligent trading decisions. Why It's Important: Black-box trading is appealing to buy-side firms that measure their trading results against industry-standard benchmarks such as volume weighted average price (VWAP) or the S&P 500 and Russell 3000 indices. From a regulatory perspective, the industry is concerned about best execution. By breaking their large orders into smaller chunks, buy-side institutions are able to disguise their orders and participate in a stock's trading volume across an entire day or for a few hours. More sophisticated algorithms allow buy-side firms to fine-tune the trading parameters in terms of start time, end time and aggressiveness.
机译:买方公司倾向于采用通常由经纪人提供的基于规则的系统。这些数学模型分析股票市场中的每个报价和交易,识别流动性机会并将该信息转化为明智的交易决策。重要性的理由:黑箱交易吸引了根据行业标准基准(例如交易量加权平均价格(VWAP)或S&P 500和Russell 3000指数)衡量交易结果的买方公司。从监管角度来看,行业关注最佳执行。通过将大订单分解为较小的部分,买方机构可以伪装订单并参与一整天或几个小时的股票交易量。更复杂的算法允许买方公司根据开始时间,结束时间和进取性来微调交易参数。

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