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Use Case

AI-Driven Portfolio Optimisation

Systematic portfolio construction, risk management, and rebalancing — powered by AI.

Running a single strategy is straightforward; running a book of twenty is an engineering and risk-management challenge. Q314's portfolio layer lets you combine any mix of strategies — momentum, mean-reversion, stat-arb, ML-driven — into a unified portfolio with explicit diversification targets. The optimiser analyses rolling correlations, tail-risk contributions, and capacity constraints to recommend allocations that maximise risk-adjusted returns while staying within your drawdown and exposure limits.

Once allocations are set, Q314 handles the ongoing work automatically. Configurable rebalancing rules trigger on schedule, on drift thresholds, or on volatility regime changes, and every rebalance is logged with full before-and-after attribution so you can audit exactly why weights shifted. Real-time dashboards surface Sharpe, Sortino, max drawdown, and per-strategy P&L attribution at a glance, giving you the transparency of a fund-level risk system without the infrastructure cost.

Portfolio Construction

Combine multiple strategies into a single portfolio with mean-variance, risk-parity, or AI-suggested allocations. The optimiser respects your constraints on sector exposure, leverage, and turnover.

Risk Budgeting

Assign explicit risk budgets to each strategy and let Q314 dynamically size positions so no single alpha source dominates portfolio volatility — even during tail events.

Auto Rebalancing

Set calendar, drift-based, or volatility-triggered rebalancing rules. Q314 generates the optimal trade list, accounts for transaction costs, and executes with minimal market impact.

Performance Attribution

Decompose portfolio returns into strategy-level, factor-level, and residual components. Identify which strategies are driving alpha and which are dragging — updated in real time.

Frequently Asked Questions

How does multi-strategy portfolio management work on Q314?

You add individual strategies to a portfolio workspace, set target allocations or let the optimiser propose them, and Q314 aggregates signals, manages net exposure, and routes orders across all strategies as a single book. Correlation and risk metrics update in real time, so you always see how the strategies interact rather than treating each one in isolation.

What risk metrics are available?

Q314 tracks Sharpe ratio, Sortino ratio, maximum drawdown, Calmar ratio, Value-at-Risk (VaR), Conditional VaR, and beta to user-defined benchmarks. All metrics are computed on both a portfolio-wide and per-strategy basis, and you can set threshold alerts that notify you via email or webhook when any metric breaches your limits.

Can I set automated rebalancing rules?

Yes. You can configure rebalancing on a fixed schedule (daily, weekly, monthly), when allocation drift exceeds a percentage threshold, or when realized volatility crosses a regime boundary. Each rule is fully customisable, and Q314 simulates the expected transaction cost of each rebalance before execution so you can weigh the cost of trading against the cost of drift.

How does Q314 handle correlated strategies?

The optimiser continuously monitors rolling pairwise and conditional correlations across all strategies in your portfolio. When correlations spike — for example, during a risk-off event — Q314 can automatically reduce exposure to the most correlated legs or alert you to take manual action, preventing the portfolio from behaving like a single concentrated bet.

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