Python

How to Perform Machine Learning Using Amibroker and Python

Amibroker is a powerful technical analysis and trading system development platform, used extensively by traders and analysts for developing and deploying trading strategies. Python,...
Rajandran R
5 min read

Top Quant Python Libraries for Quantitative Finance

quantitative-finance, python, pandas, NumPy, SciPy, scikit-learn, statsmodels, QuantLib, zipline, TensorFlow, pyfolio, yfinance, seaborn, Plotly, Streamlit, TA-Lib, pandas_ta
Rajandran R
4 min read

Introduction to NumPy – Python Tutorials for Traders

NumPy is a Python library that provides support for large, multi-dimensional arrays and matrices, along with a large collection of mathematical functions to operate...
Rajandran R
3 min read

Predicting Gap Up, Gap Down, or No Gap in…

Logistic Regression is a popular statistical method used for predicting binary outcomes, such as predicting whether an email is spam or not, whether a...
Rajandran R
4 min read

A Quick Start Guide to Compute Correlation Matrix in…

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

AdaBoost – Ensembling Methods in Machine Learning for Stock…

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

Python Code for Generating Nifty Weekly Expiry Dates Using…

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

Predicting Stock Price and Market Direction using XGBoost Machine…

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

Learning Linear Regression – Simple Machine Learning Based Prediction…

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

Introduction to Pandas DataFrame – Python Tutorial for Traders…

In the first part of this pandas tutorial for traders, we explored creating and manipulating Pandas DataFrames using the yfinance library to fetch stock...
Rajandran R
3 min read

Introduction to Pandas DataFrame – Python Tutorial for Traders…

Pandas is an open-source Python library that is widely used for data manipulation and analysis. One of the most popular features of Pandas is...
Rajandran R
3 min read

Nifty Daily Returns – Distribution Statistics – Python Code

The Nifty index is one of the most popular stock market indices in India among traders and investors, and it tracks the performance of...
Rajandran R
3 min read