November 30, 2024
Random News

Anomalies Post

AKanther.com

Like Us On Facebook

Facebook Pagelike Widget

Tag: fundamental analysis

Fundamental and Technical Stock Analysis: A Machine Learning Approach featured image

Fundamental and Technical Stock Analysis: A Machine Learning Approach

Abhishek Kanther022 mins

Explore the power of machine learning in fundamental and technical stock analysis. Learn how to leverage historical data, financial statements, and predictive modeling techniques to make informed investment decisions. Discover the potential of SARIMAX and AdaBoost algorithms in forecasting stock prices. Gain insights into discount rate calculations, NPV, and IRR to evaluate investment opportunities. Enhance your understanding of stock market trends and improve your trading strategies using this comprehensive guide.

Read More
Portfolio-ML-Featured-Image

Investing in BSE SENSEX Companies for Weekly Returns: Strategies and Tips

Abhishek Kanther09 mins

Are you a risk-taker or a risk-averse investor? Are you looking for investment advice that can help you make the most out of your stock portfolio while minimizing risks? If so, you might want to consider using Machine Learning (ML) methodologies.

In this article, we will explore how Machine Learning can help you build a profitable investment portfolio on BSE SENSEX companies. We will cover two different portfolios, one that maximizes the Sharpe Ratio and the other that uses ML to perform mean-variance optimization. We will also discuss how cross-validation can be used to choose the best model and achieve better performance.

Read More
Fundamental Analysis Featured Image

Efficient Fundamental Analysis for Investment Advice with Python

Abhishek Kanther013 mins

Learn how to perform better fundamental analysis for investment advice with the help of Python. This article covers the use of libraries such as pandas, matplotlib, yfinance, numpy_financial, yahoofinancials, and statsmodels to download financial data, calculate important metrics, fit time-series models, and visualize the data, ultimately saving professionals time and providing more accurate investment advice.

Read More
%d bloggers like this: