How to Backtest a Trading Strategy
Backtesting is a very important tool to check the effectiveness of your trading strategy. Learn about vectorised and event-driven backtesting and create a trading strategy....
Automated Trading
Learn to automate your trades using different tools and platforms: Python, R, Interactive Brokers, Alpaca, Zerodha, Blueshift and many others.
Machine Learning Classification Algorithms
Machine Learning classification algorithms and their implementation in Python, models and more! All covered in a robust manner in this grand article....
Autoregression: Model, Autocorrelation and Python Implementation
In this article, you will learn about the autoregression model to forecast time series and its Python implementation....
Live Trading Integration on Quantra
Learn, Backtest, Analyse and Trade - All in one place with Quantra. Create and backtest a trading strategy using machine learning and live trade....
Machine Learning Strategy using Blueshift Visual Programming
We use Blueshift Visual Programming to create a machine learning strategy without writing any code! We also backtest and then live trade the strategy....
Algorithmic Trader Vs Quant Developer
A must-read article that explains the difference between an algorithmic trader and a quant developer which is quite interesting and significant to learn about....
Paper Trading: Trading using virtual money!
Paper trades are those trades where one can buy or sell securities without risking any real money. We discuss how paper trading is different from backtesting and the top paper trading platforms!...
The Journey of Computing: From Pascal's Calculator to Machine Learning
From Pascal's calculator to machine learning and AI, we have come a long way when it comes to computing. Let's see how the reducing cost of computing as well as the increasing computing power helps us, especially in algorithmic trading....
Algorithmic Trade Execution in different Asset Classes
In this article, we will understand how investors create different strategies based on the financial instruments such as Cash equity, Bonds, Derivatives, Commodities and Forex....