as 11-22-2024 4:00pm EST
DaVita is the largest provider of dialysis services in the United States, boasting market share that eclipses 35% when measured by both patients and clinics. The firm operates over 3,000 facilities worldwide, mostly in the U.S., and treats over 240,000 patients globally each year. Government payers dominate U.S. dialysis reimbursement. DaVita receives about two thirds of U.S. sales at government (primarily Medicare) reimbursement rates, with the remainder coming from commercial insurers. However, while commercial insurers represented only about 10% of the U.S. patients treated, they represent nearly all of the profits generated by DaVita in the U.S. dialysis business.
To train our stocks DVA ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.
We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.
Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.
We would greatly appreciate your contribution. Please send an email to [email protected]
Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.
Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.
Our DVA ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"DVA Forecast & Prediction for November 24, 2024 DaVita Inc." should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.