3262 Stories by Rajandran R
Amibroker is a powerful technical analysis and trading system development platform, used extensively by traders and analysts for developing and deploying trading strategies. Python,...
The financial landscape has taken an exciting turn as the bulls return with full force, marking a remarkable 9th consecutive positive close for Nifty...
quantitative-finance, python, pandas, NumPy, SciPy, scikit-learn, statsmodels, QuantLib, zipline, TensorFlow, pyfolio, yfinance, seaborn, Plotly, Streamlit, TA-Lib, pandas_ta
Long-term traders/investors typically have a buy-and-hold strategy, meaning they hold positions in the market for an extended period, usually months or years. They are...
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...
Logistic Regression is a popular statistical method used for predicting binary outcomes, such as predicting whether an email is spam or not, whether a...
A correlation matrix is a quantitative tool used in finance, statistics, and other fields to measure and visualize the relationships between multiple variables. In...
In this article, we will discuss how ensembling methods, specifically bagging, boosting, stacking, and blending, can be applied to enhance stock market prediction. And...
Feature scaling is a preprocessing technique used in machine learning to standardize or normalize the range of independent variables (features) in a dataset. The...
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...
The National Stock Exchange of India (NSE) is one of the largest stock exchanges in the world, with Nifty being its flagship index. Nifty...
Forecasting the trajectory of the stock market remains an elusive endeavor for both investors and traders alike. A myriad of methods and algorithms have...
