LaTeX templates and examples — Reports

In the world of information technology where huge amount of useful information is available and easily accessible, we investigate an approach to utilize this information in Algorithmic Trading. Algorithmic trading involves implementation of a strategy using computer programs to automatically buy and sell financial instruments to generate profit at a speed and frequency that is impossible for a human trader. High Frequency Trading (HFT) is one type of algorithmic trading characterized by high turnover and high order-to-trade ratios. There are different strategies that can be applied to HFT. We propose a framework to utilize information available in the form of news articles, which can be used in stock trading at high frequency. We use semantic values of news articles for different stocks to generate buy/sell signals at a high frequency. We demonstrate the performance of our framework by simulating stock trade based on generated buy/sell signals for a small period of time.

Propuesta : Amazon

Proyecto: Amazon.com

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Se realizaron las correspondientes mediciones según lo que se pedía en la práctica, esto para comprobar la resistencia en un circuito paralelo de manera calculada y otra midiéndola en un circuito real. Se midió el valor de diversas resistencias observando el código de color y después de esto se midieron 10 resistencias iguales con un óhmetro para comprobar sus valores y de todos los procedimientos se saco el error absoluto, relativo y su porcentaje.