Rajandran R

  Bangalore http://www.marketcalls.in Telecom Engineer turned Full-time Derivative Trader. Mostly Trading Nifty, Banknifty, USDINR and High Liquid Stock Derivatives. Trading the Markets Since 2006 onwards. Using Market Profile and Orderflow for more than a decade. Designed and published 100+ open source trading systems on various trading tools. Strongly believe that market understanding and robust trading frameworks are the key to the trading success. Writing about Markets, Trading System Design, Market Sentiment, Trading Softwares & Trading Nuances since 2007 onwards. Author of Marketcalls.in)

         



3279 Stories by Rajandran R

A Quick Start Guide to Compute Correlation Matrix in Python using yFinance, Seaborn and Pandas

A correlation matrix is a quantitative tool used in finance, statistics, and other fields to measure and visualize the relationships between multiple variables. In...
2 min read

AdaBoost – Ensembling Methods in Machine Learning for Stock Market Prediction using Python

In this article, we will discuss how ensembling methods, specifically bagging, boosting, stacking, and blending, can be applied to enhance stock market prediction. And...
2 7 min read

Feature Scaling – Normalization Vs Standardization Explained in Simple Terms – Machine Learning Basics

Feature scaling is a preprocessing technique used in machine learning to standardize or normalize the range of independent variables (features) in a dataset. The...
0 3 min read

ES-Mini Making a Short-Term Top Formation – Market Profile

ES-Mini Futures formed a short-term Top formation with G2 High formation at the major swing high with trading inventory getting long to too long...
0 15 sec read

Python Code for Generating Nifty Weekly Expiry Dates Using ChatGPT-4

The National Stock Exchange of India (NSE) is one of the largest stock exchanges in the world, with Nifty being its flagship index. Nifty...
0 2 min read

Predicting Stock Price and Market Direction using XGBoost Machine Learning Algorithm

Forecasting the trajectory of the stock market remains an elusive endeavor for both investors and traders alike. A myriad of methods and algorithms have...
0 4 min read

Learning Linear Regression – Simple Machine Learning Based Prediction Algorithm for Forecasting Stock Price

Linear regression is a type of supervised learning algorithm that makes predictions based on a linear relationship between the input variables (also known as...
0 5 min read

Preparing the Features Dataset using Amibroker Exploration – Machine Learning

There are various methods to prepare the feature dataset, which is a crucial input for a machine learning prediction model. One approach is to...
0 1 min read

Creating Trading Agents: A Machine Learning Approach

In today's financial markets, the use of trading agents has become increasingly popular. Trading agents are AI-based software that uses machine learning algorithms to...
0 2 min read

Decoding Features and Targets in Machine Learning: The Keys to Model Success

Machine learning has become an indispensable tool for stock market analysis, enabling investors to make informed decisions and predict market trends. One of the...
0 2 min read

Algomojo Platform Now Open to Finvasia (Shoonya) Users

Algomojo, a leading Algotrading platform for DIY traders, is excited to announce that it is now open to Finvasia (Shoonya) users. This partnership aims...
0 5 min read

SuperPrompt to Self-Learn Machine Learning using ChatGPT?

Machine learning is a field that has seen an incredible amount of growth and interest in recent years. It is the technology behind intelligent...
0 2 min read