Mixture Models for Forecasting Asset Returns
This article gives a preview of the upcoming webinar on Mixture Models for forecasting Asset Returns, to be hosted by QuantInsti® and conducted by Brian Christopher....
Automated Trading
Learn to automate your trades using different tools and platforms: Python, R, Interactive Brokers, Alpaca, Zerodha, Blueshift and many others.
Algorithmic Trading Vs Discretionary Trading
This post differentiate the concepts of two types of important trading strategies in stock market: Algorithmic Trading Vs Discretionary Trading...
Interactive Brokers With R: Ibrokers Trading API
Learn IBrokers R package to automate your trading with Interactive Brokers. The article contains examples of important functions from the IBrokers package....
Performance Metrics, Risk Metrics, And Strategy Optimization - An Overview
In this post, we focus on performance metrics, risk metrics and the concept of strategy optimization which is an important component in backtesting....
Market Impact Cost
In this post we defined market impact cost, factors driving it, and learned why the cost assume significance for portfolio managers....
Connecting FXCM Over FIX – A Detailed Tutorial
In this article, we are going to take a step further and talk about some operations involved in connecting FXCM over fix....
Trading with Python in Indian Markets Using Zerodha Kite Connect API
Programmatic trading is on the rise in India. Know how to do Programmatic trading in Indian markets using Python on Kite Connect API....
Using Pivot Point to predict movement in trade markets
An in-depth look into Pivot Point technique and using this in conjunction with candlestick charts for predicting market movement...
Using IBridgePy to implement Python in Interactive Brokers API
Know how to implement Python in Interactive Brokers C++ API using IBridgePy and run algorithmic trading strategies in live market....