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FolioBot

No-cost access for registered users to portfolio diagnostics, P&L attribution, and model-driven reallocation scenarios.

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Portfolio health check
Analyze current holdings for concentration, drawdown pressure, and risk-adjusted contribution by position.
Profit/loss intelligence
Break down unrealized and realized performance to identify where gains come from and where losses persist.
Optimization suggestions
Generate allocation improvements using Modern Portfolio Theory (MPT) and Black-Litterman based expected returns.
How FolioBot generates optimization insights
Portfolio proposals are generated with quantitative methods, then surfaced in plain language for practical decision support.

• Uses historical volatility and correlations to estimate efficient allocation ranges.

• Combines market-implied returns with investor views in a Black-Litterman framework.

• Shows how different confidence levels can shift recommended weights.

Regulatory disclosures (robo-advisory)
Read this before acting on model-generated suggestions. This section is provided for transparency and informed decision-making.

Methodology transparency

FolioBot explains in plain language how MPT and Black-Litterman are used. Views may come from rule-based analytics, machine-learning signals, and analyst-reviewed inputs depending on the workflow configured.

Algorithm limitations

Recommendations depend on historical correlations, implied returns, and statistical assumptions that can break during black swan events, structural regime shifts, or extreme market volatility.

Conflict of interest

If any suggested instruments or funds are linked to partner commissions, referral fees, or commercial arrangements, those relationships are disclosed as potential conflicts of interest.

Risk profiling

Portfolio outputs are mapped to user risk profile inputs such as age, income, liquidity needs, investment horizon, and goals before allocation suggestions are shown.

Assumption sensitivity

Small changes in confidence levels, expected returns, or user views can produce materially different portfolio weights and rebalancing actions.

FolioBot is an analytical support product and does not guarantee returns. Final investment decisions remain the user's responsibility and should consider independent financial, legal, and tax advice.