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Recent news & insights

The latest news and insights shaping our journey forward, from product innovations to technology and market knowhow

Portfolio Optimization, Part 12: Choosing, Comparing, and Governing
CELESTICE
Optimization EngineCelestice Research June 29, 2026

Portfolio Optimization, Part 12: Choosing, Comparing, and Governing

How to choose and govern optimization methods with shared inputs, scorecards, evidence packets, approvals, and human accountability.

Portfolio Optimization, Part 11: Multi-Period and Execution-Aware
CELESTICE
Optimization EngineCelestice Research June 22, 2026

Portfolio Optimization, Part 11: Multi-Period and Execution-Aware

How multi-period and execution-aware optimization plans trades across time, balancing future targets, taxes, costs, and liquidity.

Portfolio Optimization, Part 10: Robust and Stress-Aware Methods
CELESTICE
Optimization EngineCelestice Research June 15, 2026

Portfolio Optimization, Part 10: Robust and Stress-Aware Methods

How robust and stress-aware optimization designs portfolios that hold up across estimation error, regimes, scenarios, and adversarial shocks.

Portfolio Optimization, Part 9: Tax-Aware and Long-Short Construction
CELESTICE
Optimization EngineCelestice Research June 8, 2026

Portfolio Optimization, Part 9: Tax-Aware and Long-Short Construction

How tax-aware and long-short optimization handle realized gains, harvesting, wash-sale checks, leverage, borrow cost, and after-tax outcomes.

Portfolio Optimization, Part 8: Constrained and Practical Construction
CELESTICE
Optimization EngineCelestice Research June 1, 2026

Portfolio Optimization, Part 8: Constrained and Practical Construction

How practical constraints turn theoretical optimization into investable portfolios with turnover, tax, liquidity, sector, and trading limits.

Portfolio Optimization, Part 7: Factor Models, Covariance, and the Engine
CELESTICE
Optimization EngineCelestice Research May 25, 2026

Portfolio Optimization, Part 7: Factor Models, Covariance, and the Engine

How factor models, covariance estimates, shrinkage, regimes, and diagnostics shape the engine behind portfolio optimization.

Portfolio Optimization, Part 6: Views, Black-Litterman, and Pooling
CELESTICE
Optimization EngineCelestice Research May 18, 2026

Portfolio Optimization, Part 6: Views, Black-Litterman, and Pooling

How Black-Litterman, Bayesian pooling, and confidence-weighted views turn investor opinions into disciplined portfolio tilts.

Portfolio Optimization, Part 5: Hierarchical and Clustering Methods
CELESTICE
Optimization EngineCelestice Research May 11, 2026

Portfolio Optimization, Part 5: Hierarchical and Clustering Methods

How hierarchical and clustering methods use asset relationships to diversify across market structure while avoiding noisy correlation estimates.

Recent Posts

  • Portfolio Optimization, Part 12: Choosing, Comparing, and Governing
    Optimization Engine · June 29, 2026Portfolio Optimization, Part 12: Choosing, Comparing, and Governing
  • Portfolio Optimization, Part 11: Multi-Period and Execution-Aware
    Optimization Engine · June 22, 2026Portfolio Optimization, Part 11: Multi-Period and Execution-Aware
  • Portfolio Optimization, Part 10: Robust and Stress-Aware Methods
    Optimization Engine · June 15, 2026Portfolio Optimization, Part 10: Robust and Stress-Aware Methods
  • Portfolio Optimization, Part 9: Tax-Aware and Long-Short Construction
    Optimization Engine · June 8, 2026Portfolio Optimization, Part 9: Tax-Aware and Long-Short Construction
  • Portfolio Optimization, Part 8: Constrained and Practical Construction
    Optimization Engine · June 1, 2026Portfolio Optimization, Part 8: Constrained and Practical Construction

Categories

    • Portfolio Optimization, Part 12: Choosing, Comparing, and Governing
    • Portfolio Optimization, Part 11: Multi-Period and Execution-Aware
    • Portfolio Optimization, Part 10: Robust and Stress-Aware Methods
    • Portfolio Optimization, Part 9: Tax-Aware and Long-Short Construction
    • Portfolio Optimization, Part 8: Constrained and Practical Construction
    • Portfolio Optimization, Part 7: Factor Models, Covariance, and the Engine
    • Portfolio Optimization, Part 6: Views, Black-Litterman, and Pooling
    • Portfolio Optimization, Part 5: Hierarchical and Clustering Methods
    • Portfolio Optimization, Part 4: Risk Parity and Budgeting
    • Portfolio Optimization, Part 3: Drawdown — the Risk You Live Through
    • Portfolio Optimization, Part 2: Tail Risk and the Losses That Hurt
    • Portfolio Optimization, Part 1: One Catalog, Many Right Answers
    • What Is Governed Autonomy in Wealth Management?
    • Proactive Suggestions: Helping You See What Matters Next
    • Durable Execution: Why AI Wealth Work Should Be Resumable, Not Disposable
    • Specialist Agents: Why Attribution Beats an Anonymous Assistant
    • How Multi-Agent AI Collaboration Works in Wealth Management
    • AI Agent Capabilities and Sandboxing: Power on a Need-to-Have Basis
    • AI Agent Memory: Why a Chat Transcript Is Not Financial Memory
    • Deep Research in Chat: More Than a Long Answer
    • Grounded Answers: Why AI in Finance Must Cite Its Sources
    • Connected Accounts and Data Quality: The Foundation of Portfolio Truth
    • From Prospect to Client: How Proposal Generation Should Work
    • Client Reporting: Why Traceable Source State Matters
    • Performance Attribution: Why Did the Portfolio Do That?
    • Investment Policy and Compliance: The Guardrails Behind Every Trade
    • Alpha and Signal Fusion: Turning Many Signals Into One Conviction
    • Fixed Income Analytics: Duration, Convexity, Spread, and Curve Risk
    • How to Analyze a Stock: A Valuation and Quality Framework
    • Monte Carlo Simulation: How to Read a Probability of Success
    • Retirement Planning Is a Program, Not a Number
    • Goals-Based Wealth Planning: Funding What Actually Matters
    • Portfolio Optimization Approaches, Compared
    • Portfolio Rebalancing: Turning Drift Into a Disciplined Decision
    • Model Portfolio Construction: Build Once, Apply at Scale
    • Real Assets: Investing in Real Estate, Infrastructure, and Farmland
    • Private Equity and Venture: MOIC, Vintage, and the Secondary Market
    • Private Markets 101: Capital Calls, the J-Curve, IRR, TVPI, and Fee Drag
    • What-If Scenario Planning: Test the Decision Before You Make It
    • Stress Testing: What Breaks Your Portfolio, and Why
    • Reading Portfolio Risk: VaR, CVaR, Factors, and Drawdown
    • Estate and Legacy Planning: Transfer, Trusts, and the Liquidity Gap
    • Roth Conversions and Tax-Smart Investing: A Practical Framework
    • Direct Indexing and Tax-Loss Harvesting, Explained
    • Trading and Execution: From Approved Intent to Settled Trade
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