Attendees learned the basics of how traders are using sentiment analysis to gain upper hand in the stock market and designing trading strategies....

Python programming language has gained popularity in recent times with its simpler structure, extensive libraries like NumPy, and being open source...

Want to become an algorithmic trader? Learn on how to get started in algorithmic trading world by a set of typical questions posed to an expert....

Complete RecordingCheck out the complete recording of the webinar here: About the SessionAn overview of...

Get to know various methods and tools in the global markets which are used by algorithmic traders. Demonstration of Algo Trading with sample strategies and how to integrate with APIs and different tools....

In this post we discuss sentiment analysis in brief and then present a basic sentiment analysis model in R. Sentiment analysis is the analysis of the feelings (i.e. attitudes, emotions and opinions)....

Nitesh Khandelwal was invited by Andrew Swanscott at of Better System Trader for an interview, where he shared insights about various backtesting platforms, statistical arbitrage and high frequency trading....

In part one we derived rules for a forex strategy using the SVM algorithm in R. Here we take a step further, and demonstrate how to backtest our findings....

Dispersion trading is a very profitable strategy which offers high rewards in response to a low risk, but it is essential to implement the strategy correctly to gain the profit....

To use ML in trading, we use historical data (stock price/forex data) and add indicators to build a model in R/Python/Java. We then select a Machine learning algorithm to make the predictions....