as 07-26-2024 4:00pm EST
SL Green Realty is one of the largest Manhattan property owners and landlords, with interest in around 33 million square feet of wholly owned and joint-venture office space. The company has additional property exposure through its limited portfolio of well-located retail space. It operates as a real estate investment trust.
More About Our SLG ML Model...
What kind of parameters do you use to train SLG stocks ML model?
To train our stocks SLG ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.
How often do you update SLG ML model?
We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.
Why is the accuracy of your SLG model low?
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.
How can I provide and share more data with you to increase your ML model accuracy?
We would greatly appreciate your contribution. Please send an email to [email protected]
Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?
Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.
Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?
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.
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Disclaimer
Our SLG ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"SLG Forecast & Prediction for July 27, 2024 SL Green Realty Corp" 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.