A full-time Quantitative Research Analyst from Mumbai attained success by turning his passion for trading into a career. This is his journey into algorithmic trading....
Statistical arbitrage strategies are pretty helpful when it comes to investing in a diverse portfolio with a lot of securities. With this blog, explore different tangents of stat arb such as the meaning, working, types and pros and cons!...
Trading markets with API can help in a lot of ways. But, the real question is how to use the APIs for trading and which are the trending APIs to begin your trading journey with? In this blog, you will find out the answers to these questions and more!...
51-year-old Gustavo Corrêa describes his extraordinary path into algorithmic trading, from his beginnings in Brazil to his current life as an Algo trader in South Africa....
Learn how to create a Seaborn heatmap in Python for data visualization. This guide covers seaborn heatmap creation, applications in finance, and step-by-step Python code....
You will create a machine learning classification python algorithm for predicting the S&P500 price. For this task, you will use the Support Vector Classifier (SVC) algorithm. The classification algorithm builds a model based on the training data, classifies test data into the categories....
Iris Jiang, a risk quant with more than ten years of expertise and a PhD in Mathematical Statistics and Probability, takes a beginner's approach to algorithmic trading. All the way from Singapore, Iris shares her journey to algo trading....
Market inefficiency - is it something that a trader should explore? How does one trade in an inefficient market and how does it help a trader? This blog explains....
Backtrader is a Python library enabling users to backtest and deploy live trading strategies. Learn what Backtrader is, how to use it and all there is to it....
Covariance and Correlation - what are they? Learn the various concepts, industry applications and Python computations in this tutorial....