an example how a book may look like
a lot of pgfornaments (without using pgfornaments thanks to Dr. Lian Tze Lim from Overleaf)
can be compiled into "periodical aureo" page size (almost canon conform) but with the switcher in main.tex file if you prefer a tablet or a screen reading.
the calligraphy used for letters can be switched off for people who are not used to read handwriting, same for audio links
(If you just want to read the book, it's best to download the PDF for offline reading, rather than waiting for it to render completely in the previewer on this page.)
Es un resultado de la mecánica Hamiltoniana sobre la evolución
temporal de un sistema mecánico. Un conjunto de partículas con
condiciones iniciales cercanas pueden representarse por la región
conexa que ocupa en el espacio de fase.
El teorema establece que dicha región mantendrá invariante su
volumen a pesar de que se estirar y se encogerá a medida que
cada partícula evolucione
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.
Jiten Thakkar
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