Viraj B

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Building a StatArb Strategy Using K-Means For Pair Selection

By <b>Lamarcus Coleman</b><p>To Begin, we need to gather data for a group of stocks. We’ll continue using the S&P 500. There are 505 stocks in the S&P 500. We …

Introduction To Trading: Developing A Conceptual Framework

When someone wants to learn how to trade, where do they start? What markets should they focus on? What setups or patterns should they consider for …

Straddle Options Trading Strategy Using Python

<b>Introduction</b><p>An option is an easy-to-understand yet versatile instrument in the financial market whose popularity has grown by leaps and bounds in the …

Option Long Strangle Strategy In Python

<b>Introduction</b><p>Traders dealing in options enjoy the leverage of choosing the size of investment that they make and reducing the risk of losing a lot in …

Time Series Analysis: An Introduction In Python

In this blog, we will see basic time series operations on historical stock data. Our main focus will be on generating a static forecasting model. We …

Data Science

K-Means Clustering For Pair Selection In Python

By <b>Lamarcus Coleman</b><p>Statistical Arbitrage is one of the most recognizable quantitative trading strategies. Though several variations exist, the basic …

Time Series Analysis: Working With Date-Time Data In Python

In our previous blog on time series “Time Series Analysis: An Introduction In Python”, we saw how we can get a time series data from online sources …

Open Interest In Options Trading Using Python

<b>What Is Open Interest In Options Trading?</b><p>Open interest is a very good indicator of the investor activity in a stock/index. In contrast to the daily …

Academic Backgrounds That Are Fit For Algo Trading

Algo Trading comprises of employing machine language to deploy your trading strategy. It is equally important to know how to formulate and how to …

Training Neural Networks For Stock Price Prediction

<b>Introduction</b><p>In the previous article on “Working of Neural Networks for Stock Price Prediction”, we have understood the working of neural networks. In …

Artificial Neural Network In Python Using Keras For Predicting Stock Price Movement

<b>Introduction</b><p>In the previous two articles in the series of blogs on Neural Networks, we have understood the working and training of Neural Networks. …

Machine Learning Logistic Regression In Python: From Theory To Trading

In this blog post, we will learn how logistic regression works in machine learning and will implement the same to predict stock price movement in …

Five Indicators To Build A Trend Following Strategy

Any occurrence of public interest causes turbulence in the stock market. People are quick to react to it. The reason being a general desire to be on …

Portfolio Analysis: Performance Measurement and Evaluation

In this blog, we will discuss various aspects of the portfolio evaluation and portfolio measurement. We’ll start discussing with why evaluation and …

Fibonacci Retracement Trading Strategy In Python

Fibonacci trading tools are used for determining support/resistance levels or to identify price targets. It is the presence of Fibonacci series in …

Portfolio Optimization For Maximum Return-To-Risk Ratio Using Python

In the previous blog of this series, we saw how to compute the mean and the risk (or standard deviation) of a portfolio containing ‘<i>n</i>‘ number of …

The Unconventional Guide To The Best Websites For Quants

Technology moves at a startling speed and it has been the same case in the algorithmic and quantitative trading domain. Traders around the world are …

Trading

How To Become An Independent Algorithmic Trader?

Algo-trading is the usage of computer programs to automate your strategies in order to acquire an enhanced profit margin. You can opt to acquire the …

Paper Trading Your Algorithmic Strategies

Sometime back I came across these interesting lines on Trading. “In Trading, relying on hopium is worse than addiction to opium. Your gains will be …

What Are Binary Options?

Binary options are exotic options which were typically available on OTC markets. But now, thanks to the information age, even a day trader or a …

Portfolio Analysis: Calculating Risk and Returns

<b>Introduction</b><p>The process of trading is a complex one with a number of steps like stocks selection, the formation of strategies, and creation of a …

Introduction To Machine Learning K-Nearest Neighbors (KNN) Algorithm In Python

Machine Learning is one of the most popular approaches in Artificial Intelligence. Over the past decade, Machine Learning has become one of the …

Machine Learning

Earnings Announcement Strategies: Extracting Earnings Dates

Earnings announcement events are important events for investors and traders. Earnings results of a company tend to determine the future price …

Stock Markets

Modelling Volatility Smile In Python

In this article, you will learn about the origin and implications of Volatility Smile. You will also see how to plot the volatility smile curve in …

How can banking professionals become Quants

Being a banker means a disciplined life, regularity, and a process-oriented mindset, it also means good financial acumen. Combine all of that with a …

News for our time

Social Media

Top 9 Cryptocurrency Trading Platforms

Elaborating a bit on the concept of Cryptocurrency and the blockchain effect before we move onto the central theme. As put in words by Daniel …

Covered Call Strategy using Machine Learning

A covered call is used by an investor to make some small profit while holding the stock. Mostly the reason why a trader would want to create a …

Working Of Neural Networks For Stock Price Prediction

<b>Introduction</b><p>Machine learning has proved to improve efficiencies significantly, and there are many jobs which have been replaced by smarter and faster …