Over the past three decades, computers have managed to make their way into a majority of househol... more Over the past three decades, computers have managed to make their way into a majority of households. Due to this enormous transition, the surge in the internet's popularity was inevitable. Just like everything else, whatever has a pro also has a con, both are faces of the same coin. Nowadays, web security has become one of the biggest challenges to the corporate world. All web applications are prone to security vulnerabilities, it's the developers job to follow the latest norms in order to effectively reduce the threat posed by unauthorised users or programs. In this paper, we have tried to analyse the major problems faced in the real world and have tried to come up with effective solutions to combat all the aforementioned problems.
Stock market forecasts are always attracting the attention of multiple analysts and researchers. ... more Stock market forecasts are always attracting the attention of multiple analysts and researchers. Many Popular theories observe that the stock market is, in its essence, a random game of chance and that it is a mindless game to try to predict a thin item. Predicting a stock's price is a challenging problem due to the number of external variables present. The market behaves in the short term like a ballot or a voting machine, but in the long run, it acts like a weighing machine and may thus forecast market movements over a more extended time period. Stock Price prediction's integration with modern technology-especially Machine Learning Algorithms (Quant models as often referred to in the financial sector) is recently becoming a growing idea for research. Research has shown that Machine Learning Models, particularly with the use of Recursive Neural Networks (RNN) and Long-Term Short Memory (LSTM), when applied to historical data of shares, can be utilized to predict the shortterm price of the share. Our research aims to find the best model that uses companies' projections and sector performances and how the given company fares accordingly to correctly predict equity share prices for both short-and long-term goals.
Stock market forecasts are always attracting the attention of multiple analysts and researchers. ... more Stock market forecasts are always attracting the attention of multiple analysts and researchers. Many Popular theories observe that the stock market is, in its essence, a random game of chance and that it is a mindless game to try to predict a thin item. Predicting a stock's price is a challenging problem due to the number of external variables present. The market behaves in the short term like a ballot or a voting machine, but in the long run, it acts like a weighing machine and may thus forecast market movements over a more extended time period. Stock Price prediction's integration with modern technology-especially Machine Learning Algorithms (Quant models as often referred to in the financial sector) is recently becoming a growing idea for research. Research has shown that Machine Learning Models, particularly with the use of Recursive Neural Networks (RNN) and Long-Term Short Memory (LSTM), when applied to historical data of shares, can be utilized to predict the shortterm price of the share. Our research aims to find the best model that uses companies' projections and sector performances and how the given company fares accordingly to correctly predict equity share prices for both short-and long-term goals.
Over the past three decades, computers have managed to make their way into a majority of househol... more Over the past three decades, computers have managed to make their way into a majority of households. Due to this enormous transition, the surge in the internet's popularity was inevitable. Just like everything else, whatever has a pro also has a con, both are faces of the same coin. Nowadays, web security has become one of the biggest challenges to the corporate world. All web applications are prone to security vulnerabilities, it's the developers job to follow the latest norms in order to effectively reduce the threat posed by unauthorised users or programs. In this paper, we have tried to analyse the major problems faced in the real world and have tried to come up with effective solutions to combat all the aforementioned problems.
Over the past three decades, computers have managed to make their way into a majority of househol... more Over the past three decades, computers have managed to make their way into a majority of households. Due to this enormous transition, the surge in the internet's popularity was inevitable. Just like everything else, whatever has a pro also has a con, both are faces of the same coin. Nowadays, web security has become one of the biggest challenges to the corporate world. All web applications are prone to security vulnerabilities, it's the developers job to follow the latest norms in order to effectively reduce the threat posed by unauthorised users or programs. In this paper, we have tried to analyse the major problems faced in the real world and have tried to come up with effective solutions to combat all the aforementioned problems.
Stock market forecasts are always attracting the attention of multiple analysts and researchers. ... more Stock market forecasts are always attracting the attention of multiple analysts and researchers. Many Popular theories observe that the stock market is, in its essence, a random game of chance and that it is a mindless game to try to predict a thin item. Predicting a stock's price is a challenging problem due to the number of external variables present. The market behaves in the short term like a ballot or a voting machine, but in the long run, it acts like a weighing machine and may thus forecast market movements over a more extended time period. Stock Price prediction's integration with modern technology-especially Machine Learning Algorithms (Quant models as often referred to in the financial sector) is recently becoming a growing idea for research. Research has shown that Machine Learning Models, particularly with the use of Recursive Neural Networks (RNN) and Long-Term Short Memory (LSTM), when applied to historical data of shares, can be utilized to predict the shortterm price of the share. Our research aims to find the best model that uses companies' projections and sector performances and how the given company fares accordingly to correctly predict equity share prices for both short-and long-term goals.
Stock market forecasts are always attracting the attention of multiple analysts and researchers. ... more Stock market forecasts are always attracting the attention of multiple analysts and researchers. Many Popular theories observe that the stock market is, in its essence, a random game of chance and that it is a mindless game to try to predict a thin item. Predicting a stock's price is a challenging problem due to the number of external variables present. The market behaves in the short term like a ballot or a voting machine, but in the long run, it acts like a weighing machine and may thus forecast market movements over a more extended time period. Stock Price prediction's integration with modern technology-especially Machine Learning Algorithms (Quant models as often referred to in the financial sector) is recently becoming a growing idea for research. Research has shown that Machine Learning Models, particularly with the use of Recursive Neural Networks (RNN) and Long-Term Short Memory (LSTM), when applied to historical data of shares, can be utilized to predict the shortterm price of the share. Our research aims to find the best model that uses companies' projections and sector performances and how the given company fares accordingly to correctly predict equity share prices for both short-and long-term goals.
Over the past three decades, computers have managed to make their way into a majority of househol... more Over the past three decades, computers have managed to make their way into a majority of households. Due to this enormous transition, the surge in the internet's popularity was inevitable. Just like everything else, whatever has a pro also has a con, both are faces of the same coin. Nowadays, web security has become one of the biggest challenges to the corporate world. All web applications are prone to security vulnerabilities, it's the developers job to follow the latest norms in order to effectively reduce the threat posed by unauthorised users or programs. In this paper, we have tried to analyse the major problems faced in the real world and have tried to come up with effective solutions to combat all the aforementioned problems.
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Papers by Varun Sangwan