Liman

🗓 Founded 2024👥 3 employees
Financial Services
LinkedIn
Liman Investment Analytics Artificial Intelligence Liman Investment Analytics, designed for American ETF and Borsa Istanbul investors, leverages advanced data analytics and statistical models to optimize your portfolios and help you make more informed investment decisions. By tracking market trends and economic data, it strengthens your strategies. Why Choose Liman Investment Analytics? 1. Data-Driven Insights: Provides comprehensive, clear, and actionable insights, from macro and microeconomic trends to technical evaluations. 2. AI-Powered Chatbot: Answers real-time questions about market trends, analyst evaluations, and insider trading data. 3. Portfolio Tracking: Monitor your investments, develop strategies aligned with your goals, and receive recommendations. 4. Expert Research and Analysis: Gain an edge with reports from leading analysts. 5. Insider Trading Data: Access exclusive data for strategic investment decisions. 6. Simplified Processes: Complex financial data is simplified for better understanding. Key Features: - AI-Driven Investment Analytics - Big Data-Enhanced Reports - Portfolio Tracking and Strategy Recommendations - Technical and Economic Market Analyses - Insider Trading Data Advanced Functions: - Backtest Portfolio: Analyze historical performance and compare various portfolio strategies. - Factor Analysis: Utilize Fama-French and Carhart models to analyze market, size, value, and momentum factors. - Monte Carlo Simulation: Test long-term portfolio growth and alignment with financial goals. - Portfolio Optimization: Optimize risk-return balance using historical or projected returns; find the best portfolio with the Black-Litterman model. - Tactical Asset Allocation: Conduct tests with models like moving averages, momentum, and volatility targeting.
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Frequently asked questions
When was Liman founded?
Liman was founded in 2024.
What industry is Liman in?
Liman operates in Financial Services. Find similar Financial Services investors on gritt.io.