Tag: prediction

  • The Zacks’s Market Outlook Nov ’22 – Energy Focus

    The Zacks’s Market Outlook Nov ’22 – Energy Focus

    Featured Image by Canva. Let’s review the current Energy Market Outlook to power your investment portfolio with Zack Research. Indeed, Energy is at the heart of development.  Energy makes possible the investments, innovations, and new industries that are the engines of jobs, inclusive growth, and shared prosperity for entire economies. What Rapidly Shifting Energy Markets […]

  • BTC-USD Freefall vs FB/Meta Prophet 2022-23 Predictions

    BTC-USD Freefall vs FB/Meta Prophet 2022-23 Predictions

    It is widely recognized that crypto price prediction is considered a very challenging task, due to its chaotic (highly volatile) and very complex nature. Nethertheless, accurate predictions can assist crypto investors towards right investing decisions. Why not Predicting BTC-USD Prices Using Facebook’s Prophet? Let’s discuss this state-of-the-art model within the context of BTC-USD 2022-23 price prediction based on the available historical data since 2020-02-16.

  • 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.

  • An AWS Comparison of ML/AI Diabetes-2 Classification Algorithms

    An AWS Comparison of ML/AI Diabetes-2 Classification Algorithms

    Featured Photo by Myriam Zilles on Unsplash In the last decade, the impact of Type-2 Diabetes (T2D) has increased to a great extent especially in developing countries. Therefore, early diagnosis and classification of T2D has become an active area of healthtech. Numerous data-driven techniques are available to control T2D. This work presents a comparative use-case study of several […]

  • 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 […]

  • ANOVA-OLS Prediction of Surgical Volumes

    Operating rooms (ORs) are some of the most valuable hospital assets, generating a large part of hospital revenue.  Statistical models have been developed using datasets to predict daily surgical volumes weeks in advance. We focus on the VUMC dataset for evaluation of our statistical models. We use the ANOVA null-hypothesis test for the total number of surgeries. The Ordinary Least Squares (OLS) linear regression formula is applied to our target variable Actual Surgery.

  • OXY Stock Analysis, Thursday, 23 June 2022

    $OXY Bearish Sentiment – In Line with Energy Sector SA Analysis TradingView OSCILLATORS Name Value Action Relative Strength Index (14) 40.73 Neutral Stochastic %K (14, 3, 3) 15.83 Neutral Commodity Channel Index (20) −92.10 Neutral Average Directional Index (14) 23.20 Neutral Awesome Oscillator −7.13 Neutral Momentum (10) −11.57 Buy MACD Level (12, 26) −1.89 Sell Stochastic RSI Fast (3, 3, 14, 14) […]

  • Predicting Trend Reversal in Algorithmic Trading using Stochastic Oscillator in Python

    Predicting Trend Reversal in Algorithmic Trading using Stochastic Oscillator in Python

    This is the example stochastic oscillator in Python for algorithmic trading $NVIDIA candlestick chart vs a stochastic oscillator chart over our trading period.

  • Stock Forecasting with FBProphet

    Stock Forecasting with FBProphet

    Prophet from Meta (Facebook) is a procedure for forecasting time series data such as stocks. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

  • ML/AI Regression for Stock Prediction – AAPL Use Case

    1. Install Yahoo finance library 2. Call all dependencies that we will use for this exercise  3. Define the ticker you will use 4. Let’s look at the data table 5. Data Exploration Phase 6. Data Preparation, Pre-Processing & Manipulation 7. Apply Linear Regression 8. Perform ML QC Analysis 9. Final Output