November 30, 2024
Random News

Anomalies Post

AKanther.com

Like Us On Facebook

Facebook Pagelike Widget

Category: Stocks & Finance

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 featured for the period 15th May 2023 to 19th May 2023

Investment Update: Our Weekly Portfolio Strategy for May 15th, 2023

Abhishek Kanther06 mins

In this article, we analyze a previously suggested portfolio based on BSE SENSEX companies and provide recommendations for a new portfolio for the upcoming week. The article includes a detailed analysis of the performance of the previous portfolios and provides new portfolio recommendations based on Sharpe Ratio and Machine Learning optimization.

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
Portfolio Allocation Featured Image

Maximizing Returns and Minimizing Risk: Creating an Optimized Portfolio in PYTHON

Abhishek Kanther014 mins

This article is significant for individuals interested in creating an optimized portfolio of stocks using Python. It provides a comprehensive guide on how to gather historical data on stocks, calculate the mean historical return and covariance matrix, and use the Efficient Frontier, Sharpe ratio, and Discrete Allocation methods to create an optimized portfolio. By leveraging the “yfinance,” “expected_returns,” “risk_models,” and “pypfopt” libraries, users can automate the process of portfolio optimization and allocation. However, it’s important to note that stock investments always carry a level of risk, and users should conduct proper research on the stocks and markets in question. Overall, this code is a great starting point for individuals looking to create an optimized portfolio and streamline their investment process.

Read More
Invest Like a Pro - Use Machine Learning Algorithms to Optimize Your Portfolio featured image

Invest Like a Pro: Use Machine Learning Algorithms to Optimize Your Stock Portfolio

Abhishek Kanther013 mins

Discover how to use machine learning algorithms to optimize your investment portfolio using a mean-variance approach. Learn how to download stock price data from Yahoo Finance, perform mean-variance optimization with a linear regression model, and choose the best model using cross-validation. Achieve better performance and reduce risk in your investment portfolio with machine learning.

Read More
stock prices python and r project

How to get free intraday stock and Finance data for free with Python and R-Project

Abhishek Kanther08 mins

Learn how to install libraries and use them to analyze stock data in Python and R. This article breaks down the steps needed to install and use libraries like yfinance and matplotlib in Python and yahoo.finance and ggplot2 in R. You will also find functions with explanations for retrieving and plotting stock data in both languages.

Read More
%d bloggers like this: