Tag: analytics

  • XOM SMA-EMA-RSI Golden Crosses ’22

    XOM SMA-EMA-RSI Golden Crosses ’22

    Featured Photo by Johannes Plenio on Pexels. Today we will discuss the XOM stock using most basic technical trading indicators (TTIs) within the Python library ta-lib. Recall that this library is widely used by algo traders requiring to perform technical analysis of financial market data. It includes 150+ indicators such as ADX, MACD, RSI, Stochastic, […]

  • A Roadmap from Data Science to BI via ML

    A Roadmap from Data Science to BI via ML

    This post describes a Data Science (DS) roadmap, with relevant business applications. It has been written for aspiring data scientists, technical experts who work with data scientists, data-driven technology stakeholders, or anyone interested in learning about what DS is and what it’s used for. Why DS: The average base salary of a data scientist in […]

  • Energy E&P: XOM Technical Analysis Nov ’22

    Energy E&P: XOM Technical Analysis Nov ’22

    Featured Photo by Kayden The last few years offer a case study of how quickly energy markets can shift. According to our recent post, Oil & Gas Exploration and Production (E&P) stays the top energy sector, remaining firmly at Very Attractive to Buy. In the light of what we know about E&P business, let’s take […]

  • BTC-USD Price Prediction with LSTM Keras

    BTC-USD Price Prediction with LSTM Keras

    The objective of this project is to test the deep learning algorithm of real-time BTC-USD price prediction. We trained the 2-layers Long Short Term Memory Neural Network using Bitcoin Historical Data. The trained LSTM model can be used to predict future price movements of bitcoin.  RMSE ~ $64, with the mean price of $20k (Oct ’22), which means the prediction error ~0.3%. The model performance is excellent, with an error of only tens of USD.

  • Technology Focus Weekly Update 16 Oct ’22

    Technology Focus Weekly Update 16 Oct ’22

    Get top data-driven technology highlights of the week: new SaaS products, tech business applications and learnings of the week: DevOps, DevSecOps, Cybersecurity, public cloud platforms (AWS/GCP/Azure), MarTech, ML/AI, MLOPs, NLP, edtech, e-courses, upcoming events, and related Infographics. Contents: DevOps November 8th, 2022     |     11 a.m. ET Providing reliable and secure services doesn’t just happen.  Traditionally, […]

  • Bear vs. Bull Portfolio Risk/Return Optimization QC Analysis

    Bear vs. Bull Portfolio Risk/Return Optimization QC Analysis

    Based on the Portfolio Allocation and Optimization Algorithm discussed earlier and the related portfolio management, let’s run the Bear vs. Bull QC test of the portfolio P=[MSFT, AAPL, NDAQ] in terms of the Risk/Return Ratio (RRR). We have got a Sharpe ratio of less than one that is considered unacceptable or bad. The risk the portfolio encounters isn’t being offset well enough by its return. A high correlation coefficient indicates poor diversification. Results are consistent with the Barchart stocks-to-sell opinion.

  • The Zacks Steady Investor – A Quick Look  

    The Zacks Steady Investor – A Quick Look  

    Featured Photo by Bram Naus on Unsplash Let’s look at what is going on in the U.S. markets and the current Zacks’s view for investors to consider (as of Sunday, 9 October 2022).

  • Marketing Q3 ’22 Round-Up

    Marketing Q3 ’22 Round-Up

    This is review of Marketing Q3 ’22 trends: medium digest Hubspot Insights All of SEO

  • HealthTech ML/AI Q3 ’22 Round-Up

    HealthTech ML/AI Q3 ’22 Round-Up

    Featured Photo by Andy Kelly on Unsplash This blog presents a Q3 ’22 summary of current healthtech ML/AI innovation methods, trends and challenges. Virtual reality, artificial intelligence, augmented reality, and machine learning are all healthcare technology trends that are going to play a vital role across the entire healthcare system. Let’s take a look at […]

  • Portfolio Optimization Risk/Return QC – Positions of Humble Div vs Dividend Glenn

    Portfolio Optimization Risk/Return QC – Positions of Humble Div vs Dividend Glenn

    Based upon the Portfolio Optimization Algorithm (POA) discussed earlier and the relevant POA QC use-case (positions of The Dividend Breeder), let’s run the similar algorithm to compare top 5 stock positions of Humble Div (HD) vs Dividend Glenn (DG) in terms of the Risk/Return Ratio (RRR) or RRR1=1/RRR. Let’s define the following common POA parameters: […]

  • Gulf’s Oil Price Web Scraping in R

    Gulf’s Oil Price Web Scraping in R

    Gulf’s Oil Price Web Scraping in R. Gulf states to gain $1.3 trillion in additional oil revenue by 2026: IMF. We discuss the basics of sourcing oil market price data for free online. discuss the basics of sourcing oil market price data for free online. Webscraping in R is a technique to retrieve large amounts of data from the Internet. We’ll be scraping data on Gulf’s oil prices from the Oil Price website and converting it into a usable format. This is is crucial for competitive pricing. In order to keep prices of your products competitive and attractive, you need to monitor and keep track of prices set by your competitors. If you know what your competitors’ pricing strategy is, you can accordingly align your pricing strategy to get an edge over them.

  • Macroaxis AI Investment Opportunity

    Our earlier study addressed the Macroaxis portfolio optimization based upon a statistical approach to making optimal investment decisions across different financial instruments. The present research analysis illustrates the Macroaxis Artificial Intelligence (AI) investment opportunity. Contents: The AI framework completely automates your asset selection decisions. It is designed to address the most technical part of the […]

  • AI-Guided Drug Recommendation

    AI-Guided Drug Recommendation

    AI-Guided Drug Recommendation in Python using NLP text processing. Key steps: WordCount images, NLP Pre-Processing, NER via spacy, LDA topic modelling, and Word2Vec Vectorization for reviews using pretrained glove model. Input data: the Kaggle UCI ML Drug Review dataset. Applications in the pharmaceutical industry, including drug R&D, drug repurposing, improving pharmaceutical productivity, and clinical trials, among others.

  • AI-Driven Skin Cancer Diagnosis

    AI-Driven Skin Cancer Diagnosis

    Using TensorFlow library in Python, we can implement an image recognition skin cancer classifier that tries to distinguish between benign (nevus and seborrheic keratosis) and malignant (melanoma) skin diseases from only photographic 2D RGB images

  • Simple E-Commerce Sales BI Analytics

    Simple E-Commerce Sales BI Analytics

    Good businesses learn from previous efforts and test future ideas using e-commerce analytics (ECA). ECA enable you to delve deep into historical BI data, and future forecasting so that you can make the optimized business decisions.  The key benefits of ECA are as follows: Let’s look at the warehouse optimization problem by analyzing Kaggle sales […]

  • Bear Market Similarity Analysis using Nasdaq 100 Index Data

    Bear Market Similarity Analysis using Nasdaq 100 Index Data

    We calculate similarities between the current market conditions and the selected six historical bear market events using the Nasdaq 100 Index Data. Results suggest that Covid19 pandemic, 1987 black Monday, and 1990 recession are closest to the current bear market.

  • Basic Stock Price Analysis in Python

    Basic Stock Price Analysis in Python

    Our basic stock price analysis in Python includes stock prices, stock volume, market capitalization, 50/200-day moving average, scattered X-plot matrix, and stock volatility or standard deviation.

  • A K-means Cluster Cohort E-Commerce

    A K-means Cluster Cohort E-Commerce

    K-means Clusters – Cohort Analysis applied to E-Commerce Understanding who your customers are and what they want is a fundamental part of any successful business. It can become increasingly challenging to create a one-size-fits-all customer profile. This is where the concept of cluster-based cohort analysis comes in. 

  • The Application of ML/AI in Diabetes

    An American is diagnosed with diabetes every 17 seconds.  This is a follow-up contribution to the Diabetes Control and Complications Trial (DCCT), the ongoing Epidemiology of Diabetes Interventions and Complications (EDIC) study, that has continued the earlier pilot.  The objective of this study is to build a supervised machine learning (ML) model to predict whether […]

  • AI-Powered Stroke Prediction

    Contents: Introduction Stroke, also known as brain attack, happens when blood flow to the brain is blocked, preventing it from getting oxygen and nutrients from it and causing the death of brain cells within minutes. According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally after ischemic heart disease, […]