DOI: 10.1007/978-981-19-7455-7_37
Thank you for reading this post, don’t forget to subscribe!ABSTRACT: Algorithmic trading is a process of converting a trading strategy into computer code which buys and sells the shares or performs trades in an automated, fast, and accurate way. Sentiment analysis is a powerful social media tool that enables us to understand its users. It is an important factor because emotions and attitudes toward a topic can become actionable pieces of information useful in understanding market trends, saving time and effort by the means of automation. Bringing together the art of sentimental analysis of social media and backtracking of historical price data, the paper, coupled with state-of-the-art APIs from leading crypto exchanges, is set to predict the best options and place trade orders, taking into account variables set by the user such as STOP LOSS and risk profiles. Combining the historical data from Binance APIs, coupled with sentimental analysis of Twitter tweets, our work aims at delivering highly accurate trade orders and executing them in real time without any human intervention.
– Algorithmic trading with sentiment analysis and backtracking can predict and execute accurate trade orders.
– The paper aims to automate cryptocurrency trading using historical data and Twitter sentiment analysis.
– Algorithmic trading with sentiment analysis and backtracking can predict and execute accurate trade orders.
– The paper aims to automate cryptocurrency trading using historical data and Twitter sentiment analysis.
– Algorithmic trading with sentiment analysis and backtracking can predict and execute accurate trade orders.
– The paper aims to automate cryptocurrency trading using historical data and Twitter sentiment analysis.
Methods used:
– Automated trading strategy using sentiment analysis and historical price data.
– Highly accurate trade orders executed in real time without human intervention.
– Highly accurate trade orders and real-time execution without human intervention.
– Integration of sentimental analysis of social media and backtracking of historical price data.
– Algorithmic trading using sentiment analysis and historical price data for cryptocurrency.
– Predicts trade options and executes them in real-time without human intervention.
– Algorithmic trading converts trading strategies into automated computer code.
– Sentiment analysis and backtracking are used to predict and execute trade orders.
In this article , the authors combine the art of sentimental analysis of social media and backtracking of historical price data to predict the best options and place trade orders, taking into account variables set by the user such as STOP LOSS and risk profiles.