This blog explains the common mistakes while backtesting. The goal is not to see how great of an equity curve you can make. A GOOD backtest should refer to how accurately it reflects realtime trading, not how ‘good’ the system looks....
This article talks about combining quantitative metrics to create a very useful expected edge and utilizing different ‘styles’ of systems/parameters to improve your bottom line....
This article explains a key part of automated trading - idea generation. It explains how, by keeping things simple, you can greatly improve the output of your trading by improving the inputs in various ways....
A very comprehensive and robust compiled list of resources that one would require or need to learn Algorithmic Trading and Quantitative Trading....
Plotly python library creates interactive diagrams like Scatter plot, line charts, OHLC and Contour charts etc. Installation and python codes are covered here....
In this article, we will try to understand the different types of price-related bars which are used in trading and stock charts...
The rapidly growing domain of Algorithmic trading and Quantitative trading are demanding skilled individuals. Learn how EPAT bridges the void....
We will learn the importance of hypothesis testing in creating trading strategies and understand the complete process of undertaking hypothesis testing....
Know how banking professionals can have an added advantage from their acquired skills when progressing to a quant career....
This post gives few 5 simple steps to overcome the fear of programming usually faced by many beginners. Start programming now!...
