Predictive Modeling in R for Algorithmic Trading

In this article, we will be detailing the step-by-step process that goes into building a predictive model for trading using different technical indicators. This model attempts to predict the next day price change (Up/Down) using these indicators and machine learning algorithms.

Using Pivot Point to predict movement in trade markets

We have already discussed about Candlestick Trading Strategy in a previous article. If you missed it, just click here to read it. Many techniques are used to understand the behavior of financial markets

RExcel Tutorial – Leveraging the Power of R in Excel

How many times has MS Excel given you a hard time while building complex models or importing that extra-large data set into the spreadsheet?

Using IBridgePy to implement Python in IB API

IBridgePy is one of the most flexible and friendliest Python packages which can be used to implement Python on Interactive Brokers API. It is quite different from IBPy.

IBPy Tutorial to implement Python in IB API

I hope you had a great time attending our webinar on Trading with Interactive Brokers using Python, I thought it would be very good if give you a brief insight on Interactive Brokers API and using IBPy to implement Python in IB’s TWS

EPAT™ – Executive Programme in Algorithmic Trading

The Executive Programme in Algorithmic Trading(EPAT™) at QuantInsti is designed for professionals looking to grow in the field, or planning to start their careers in Algorithmic and Quantitative trading. It inspires traditional traders towards a successful Algorithmic trading career, by focusing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management.

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