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....
QuantInsti’s Blog on Algo Trading and Quantitative Finance
Central Limit Theorem explained in Python (with examples)
This blog discusses the central limit theorem, its definition, explanation and importance with the help of examples in Python. The concepts of samples and sampling distribution are also covered....
Why is data cleaning important and how to do it the right way?
This blog is all about answering your data cleaning questions in the simplest form. It will deal with the basic challenges in cleaning data like missing and duplicate data, and provide easy solutions. This will take your data from being raw to being ready for analysis....
Fundamental and Sentiment Analysis with Different Data Sources
Exploring different data sources with Python API’s to get data to perform fundamental and sentiment analysis....
Learning from IIT, Harvard, and now EPAT - Anurag’s Journey
Why did Anurag learn Algo Trading after studying at IIT and Harvard - his success story lays the testament and explains why!...
Blog Contribution Guidelines
This set of Blog Contribution Guidelines will guide you if you wish to contribute to QuantInsti's Blogs via an article....
How to Get a Job in a High-Frequency Trading Firm?
Explore the details of getting a job at a high-frequency trading firm with this article. After reading this article, you will be knowledgable about applying at a HFT firm and much more....
How to Get Historical Market Data Through Python API
A look at different providers (free and paid) to get historical price data for various asset types....
[Algo Trading Projects] Predicting Market Movement and Backtesting Trading Strategies
There are two project presentations in this session. First on “Predicting Bank Nifty Open Price Using Deep Learning” by Balamurugan Ganesan and second on “Strategy Backtesting Environment With Interactive Brokers” by Mark Rendle....