OSP's team of experienced healthcare experts offers quality healthcare consulting services for providers and health plans. Our team includes experts on enterprise health technology platforms, US government programs, digital innovation, and business operations.
Learn More HearOSP is proficient and experienced in building robust enterprise applications to address your complex and sophisticated software needs and execute your digital transformation lifecycle. We have comprehensive customized tools to solve your healthcare challenge.
Learn More HearOptimizing the healthcare system is essential for better productivity and quality performance. OSP's team of healthcare app developers can enhance and upgrade the IT healthcare solutions in modules, security, or interoperability sections with new custom components.
Learn More HearOSP’s QA team can resolve the challenges of disrupted workflow and application safety. We offer assurance in product quality with multiple levels of quality testing, including usability, performance, localization, and security testing.
Learn More HearIn stock market risk management techniques, data importing and preparation is a crucial step. We leverage AI-based data scrapping tools to scrap a massive amount of trading data from SEC filings, technical indicators, price patterns, and sentiment analysis based on news, blogs, analyst reports, and social media feeds.
To train and test the collected and unsegmented data multiple diverse approaches can be applied such as the time series bootstrap re-sampling and time series cross-validation etc. By using the appropriate technique, training and testing of data are performed.
The custom electronic trading risk management software or ETRM software helps in interpreting complex correlations between trading stocks’ hundreds of attributes and their past performance. The data is scaled based on the set parameters for effective segmentation.
A full-scale trading risk analysis platform that utilizes advanced machine learning algorithms and your historical data. The financial risk management software system automatically builds, validates and deploys high-performing trading risk models.
Several dozen different investment algorithms subjected to over a million trading scenarios overnight to arrive at a subset with the highest probability for alpha in the next market session. The next-gen algorithms in trading risk management software have the potential to create, modify, and delete relationships between different financial assets.
Based on the relationships, the historical stock data, and the current market data, the algorithm is able to make the prediction and offer the potential risk in trading a particular stock. Since the algorithm keeps on learning from its previous predictions and is continuously readjusting the relationships, it adapts quickly to fluctuating market situations.