as of 12-10-2025 3:44pm EST
Incorporated in 1911, International Business Machines, or IBM, is one of the oldest technology companies in the world. It provides software, IT consulting services, and hardware to help business customers modernize their technology workflows. IBM operates in 175 countries and employs approximately 300,000 people. The company has a robust roster of business partners to service its clients, which includes 95% of all Fortune 500 companies. IBM's products, including Red Hat, watsonx, and mainframes, handle some of the world's most important data workloads in areas like finance and retail.
Learn more about our IBM ML prediction model
Our stocks IBM ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.
We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.
Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.
We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.
Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.
Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.
Our IBM ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"IBM Forecast & Prediction for December 11, 2025 International Business Machines Corporation" 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.