Nitin Thapar

51 Added | 1 Magazine | @NitinThapar2017 | All about trading 

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 …

Decision Tree Classifier For Trading Part-1

The strategy in this blog will cover no normal technical indicators, but some of my own creation. Also, we will see the difference between strategy …

Tips To Start Your Own Business In Algorithmic Trading

You are doing well at work but have always felt that need to cater to the aspiration of doing something more, building something of your own? You are …

The Growth And Future Of Algorithmic Trading

Looking back to the primitive times, when fire was the greatest achievement of mankind, who could’ve thought in their wildest dreams about what we as …

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 …

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 …

Machine Learning

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Machine learning has proved to improve efficiencies significantly, and there are many jobs which have been replaced by smarter and faster …

Deep Learning

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 …

Fundamental Analysis With Algorithmic Trading

Investors who base their strategy on fundamentals operate in a very different manner than quantitative analysis based traders. Quantitative traders …

Turtle Trading In Python

The Turtle Trading system was coined by Richard Dennis and worked brilliantly for the traders in the 1980’s. But it turns out that the system …

Trading

Trading and Gambling: Lessons Traders Can Learn From Professional Gamblers - Part 2

By <b>Jay Maniar</b><p>Well, this is a sequel to the previous blog Trading & Gambling: Lessons Traders Can Learn From Professional Gamblers and by now, many …

Basic Operations on Stock data using Python

Python has emerged as the fastest growing programming language and this has stemmed from multiple factors like ease to learn, readability, …

Crowdsourced Sentiment Analysis Trading Strategy

Sentiment analysis trading strategies are not new in the markets. There are a number of resources which are used to develop such strategies, capture …

Data Science

The Evolution of Trading from Barter System to Algo Trading

<b>The History of Trade</b><p>The evolution of trading is one of the most significant factors in the journey of mankind. Humans have evolved throughout the …

Stock Markets

5 Ways Your Life Will Change After GST

It is happening, the Goods and Services Tax (GST) will be implemented across the country from 1st July 2017. Everyone is going to get affected, some …

Goods and Services Tax

Machine Learning In Python for Trading

At the end of my last blog, I had asked a few questions. Now, I will answer them all at the same time. I will also discuss a way to detect the …

Machine Learning - Predict Stock Prices using Regression

The other day I was reading an article on how AI has progressed so far and where it is going. I was awestruck and had a hard time digesting the …

Machine Learning

Hackers Of ‘Wannacry’ Demand Bitcoins, As A Trader Why Should You Care?

It’s been sometime since a ransomware called ‘Wannacry’ or ‘Wcry’ or ‘WNCRY’ is making headlines. If your computer shows nothing but this window then …

Python Trading Strategy in Quantiacs Platform

Algorithmic trading has seen great traction in recent years and the numbers of students, engineering graduates, and finance professionals looking to …

Why You Should Be Doing Algorithmic Trading?

“Bots! huh? What do they know about trading? Stock market requires insights, timing and a level of genius that only humans can have”, said my friend …

How To Be A Quant in 40s?

There was a time when you chose a career in your teens and it was supposed to stick with you for a lifetime. The constant change in technology and …

An Introduction to Machine Learning with Quantiacs

Machine Learning and Artificial Intelligence are hot topics with respect to quantitative finance. The world’s largest fund company (Blackrock) …

Trading Strategy: 52-Weeks High Effect in Stocks

In today’s algorithmic trading having a trading edge is one of the most critical elements. It’s plain simple. If you don’t have an edge, don’t trade! …

Artificial Intelligence Transforming the Trading Industry

Financial firms, day-by-day are turning to machines to do the job of humans. In August 2015, a wealth management firm Charles Schwab launched a …

Sentiment Analysis on News Articles using Python for traders

Know how to perform sentiment analysis on news articles using Python Programming Language<p>In our previous post on sentiment analysis we briefly …

5 Simple Steps to Overcome the Fear of Programming

You say you never programmed in life before? Never heard of words like Classes and Objects, Dataframe, Methods, Inheritance, Loops? Are you fearful …

An Example of a Trading Strategy Coded in R

Back-testing of a trading strategy can be implemented in four stages.<p>Getting the historical data<br>• Formulate the trading strategy and specify the …

Machine Learning In Python for Trading

<b>Introduction</b><p>Machine Learning has many advantages. It is the hot topic right now. For a trader or a fund manager, the pertinent question is “How can I …

Machine Learning

Machine Learning and Its Application in Forex Markets [WORKING MODEL]

In the last post we covered Machine learning (ML) concept in brief. In this post we explain some more ML terms, and then frame rules for a forex …

Free Resources to Learn Machine Learning for Trading

While being a vibrant subfield of computer science, <b>machine learning</b> is used for drawing models and methods from statistics, algorithms, computational …