Tag: tech

  • A Market-Neutral Strategy

    A Market-Neutral Strategy

    The work aims to solve the problem of Markowitz portfolio optimization for a one-year investment horizon through the pairs trading cointegrated strategy. Market-neutral trading strategies seek to generate returns independent of market swings to achieve a zero beta against its relevant market index. Statistical arbitrage (SA), pairs trading, and APO signals are analyzed. The study…

  • The 5-Step GCP IoT Device-to-Report via AI Roadmap

    The 5-Step GCP IoT Device-to-Report via AI Roadmap

    The Internet of Things (IoT) aids in the improvement of processes and enables new scenarios through network-connected devices. Recognized as a driver of the Fourth Industrial Revolution, IoT applications include predictive maintenance, industry safety, automation, remote monitoring, asset tracking, and fraud detection. Advancements in cloud IoT architectures over recent years have enabled efficient data ingestion,…

  • Dividend-NG-BTC Diversify Big Tech

    Dividend-NG-BTC Diversify Big Tech

    SEO Title: Can Dividends, Natural Gas and Crypto Diversify Big Techs? The objective of this project is to implement several basic Quant Trading (QT) optimization ideas by analyzing tech growth, dividend stocks and highly volatile assets (commodities and crypto) in terms of risk/return optimization scenarios and (potential) diversification options. We will use the financial APIs…

  • NVIDIA Rolling Volatility: GARCH & XGBoost

    NVIDIA Rolling Volatility: GARCH & XGBoost

    This post examines the prediction of NVIDIA stock volatility using two models: the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and the Extreme Gradient Boosting (XGBoost). Both models are compared in terms of MSE and MAPE. The post discovers that the machine learning-based XGBoost model outperforms the GARCH model in NVDA volatility forecasting, showing the effectiveness of…

  • Unsupervised ML, K-Means Clustering & Customer Segmentation

    Unsupervised ML, K-Means Clustering & Customer Segmentation

    The goal of this post is to describe the most popular, easy-to-use, and effective data-driven techniques that help organizations streamline their operations, build effective relationships with with individual people (customers, service users, colleagues, or suppliers), increase sales, improve customer service, and increase profitability. Customer Segmentation (CS) is a core concept in this technology. This is the…

  • Top Fast-Growing Apps in 2023

    Top Fast-Growing Apps in 2023

    The OKTA Business at Work report and blogs by Leon Zucchini discuss the fastest-growing and new app categories. Key trends include the growth of collaboration, communication, and travel apps, and the adoption of multi-cloud. Ten notable growing apps are Kandji, Grammarly, Bob, Notion, Prisma Access, Navan, GitLab, Ironclad, Terraform Cloud, and Figma. Emerging apps include…

  • Effective 2D Image Compression with K-means Clustering

    Effective 2D Image Compression with K-means Clustering

    The post explores the application of the K-means clustering algorithm, a popular unsupervised Machine Learning algorithm, for image compression. By segmenting 2D images into different clusters, the algorithm effectively reduces storage space without compromising on image quality or resolution. It also demonstrates the application of this approach through a case study, where optimal results were…

  • Post-SVB Risk Aware Investing

    Post-SVB Risk Aware Investing

    The recent collapse of Silicon Valley Bank and its repercussions have prompted a reevaluation of risk-aware investing in the US financial sector. The crisis has exposed the vulnerability of banks invested in long-term fixed income assets, highlighting the importance of diversification and risk management. Market indicators suggest continued volatility and uncertainty, urging investors to exercise…

  • LSTM Price Predictions of 4 Tech Stocks

    LSTM Price Predictions of 4 Tech Stocks

    The given content explains the process of using Exploratory Data Analysis (EDA) and Long Short-Term Memory (LSTM) Sequential model for comparing the risk/return of four major tech stocks: Apple, Google, Microsoft, and Amazon, considering the tech scenario in 2023. The analysis involves examining stock price patterns, their correlations, risk-return assessment, and predicting stock prices using…

  • Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics

    Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics

    Featured Photo by Pixabay Contents: Zacks Market Research Seeking Alpha Insights Summary Explore More Pages Embed Socials Macroaxis Infographic Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Not giving energy bulls help, no related industrial commodities from May 2022 show upside in forward 12M (Copper -0.3% Aluminum +6.9%, Nickel -4.1%).…

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…

  • The 5-Step Tech Blogging Roadmap

    The 5-Step Tech Blogging Roadmap

    “The life of a blogger is always intense.” – Repo Man Follow this blogging zero-to-hero guide and learn the 5 essential steps to write and publish your first tech blog post. This is an optimized roadmap that contains actionable tips for the aspirational rookie writer. It is designed to get Fortune 500 companies hooked on…

  • Top 10 Most Upvoted Apps Sept ’22

    Top 10 Most Upvoted Apps Sept ’22

    Following Leon Zucchini, let’s consider the latest roundup of the 10 most upvoted brand-new apps, hits on ProductHunt in September 2022. These are xTiles Polywork MeltingSpot Arcade Appwrite Jimo Popsy Typed Growth.Design and of course the best search engine Curiosity.

  • Heart Failure Prediction using Supervised ML/AI Technique

    Heart failure is a worldwide healthy problem affecting more than 550,000 people every year. The heterogeneity of the syndrome is reflected by its many causes and classification systems. Machine learning has demonstrated significant potential in various medical research fields and has the potential to uncover intricate associations and the ability to identify subtypes of heart…