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For Investors

Optimise Every Position.
Automatically.

Algoment's portfolio optimisation platform combines quantitative models, AI-driven rebalancing, and real-time risk analytics to maximise risk-adjusted returns across any asset mix.

Portfolio Optimization
Multi-AssetForex, Equities, Crypto
AI-DrivenRebalancing Engine
<2msExecution Latency
Real-timeRisk Analytics
CAPABILITIES

Institutional-grade portfolio intelligence

Built for quantitative investors, asset managers, and systematic traders who demand precision at every layer of portfolio construction.

Mean-Variance Optimisation

Markowitz-based portfolio construction with dynamic covariance estimation, Sharpe ratio maximisation, and configurable risk/return targets.

Mean-Variance Optimisation

Markowitz-based portfolio construction with dynamic covariance estimation, Sharpe ratio maximisation, and configurable risk/return targets.

Automated Rebalancing

Rule-based and ML-driven rebalancing engines with drift thresholds, tax-loss harvesting triggers, and multi-asset execution routing.

Automated Rebalancing

Rule-based and ML-driven rebalancing engines with drift thresholds, tax-loss harvesting triggers, and multi-asset execution routing.

Drawdown Control

Real-time maximum drawdown monitoring with automated de-risking — position sizing reduction, stop-loss cascades, and cash allocation logic.

Drawdown Control

Real-time maximum drawdown monitoring with automated de-risking — position sizing reduction, stop-loss cascades, and cash allocation logic.

Multi-Asset Execution

Unified execution layer across Forex, equities, commodities, indices, and crypto — all through a single portfolio management interface.

Multi-Asset Execution

Unified execution layer across Forex, equities, commodities, indices, and crypto — all through a single portfolio management interface.

Performance Attribution

Granular attribution analysis by asset class, strategy, and time period — helping investors understand exactly where alpha is generated.

Performance Attribution

Granular attribution analysis by asset class, strategy, and time period — helping investors understand exactly where alpha is generated.

Alerts & Reporting

Automated performance reports, risk dashboards, and real-time alerts for mandate breaches, exposure limits, and drawdown thresholds.

Alerts & Reporting

Automated performance reports, risk dashboards, and real-time alerts for mandate breaches, exposure limits, and drawdown thresholds.

WHO IT'S FOR

Built for sophisticated capital allocators

Asset Managers

Manage multiple client mandates from a single dashboard with customised risk profiles, automated reporting, and full audit trails.

Asset Managers

Manage multiple client mandates from a single dashboard with customised risk profiles, automated reporting, and full audit trails.

Family Offices

Consolidated portfolio view across asset classes, geographies, and custodians with bespoke reporting and privacy-first architecture.

Family Offices

Consolidated portfolio view across asset classes, geographies, and custodians with bespoke reporting and privacy-first architecture.

Prop Firms

Systematic strategy deployment with automated position sizing, risk limits per trader, and real-time P&L aggregation.

Prop Firms

Systematic strategy deployment with automated position sizing, risk limits per trader, and real-time P&L aggregation.

Hedge Funds

Institutional-grade portfolio management with factor exposure analysis, alpha decomposition, and NAV calculation automation.

Hedge Funds

Institutional-grade portfolio management with factor exposure analysis, alpha decomposition, and NAV calculation automation.

The Problem

Why Manual Portfolio Management
Consistently Underperforms

Drawdowns Destroy Years of Gains

Portfolios without dynamic drawdown controls and automated de-risking logic suffer catastrophic losses in volatile regimes — erasing years of compounding in weeks.

Drawdowns Destroy Years of Gains

Portfolios without dynamic drawdown controls and automated de-risking logic suffer catastrophic losses in volatile regimes — erasing years of compounding in weeks.

Gut-Feel Allocation Is Not a Strategy

Asset allocation decisions made without quantitative optimisation consistently underperform risk-adjusted benchmarks — and fail to adapt when market correlations change.

Gut-Feel Allocation Is Not a Strategy

Asset allocation decisions made without quantitative optimisation consistently underperform risk-adjusted benchmarks — and fail to adapt when market correlations change.

Manual Rebalancing Is Too Slow

By the time portfolio drift is identified and positions are manually rebalanced, the opportunity cost and risk exposure have already materialised — costing real returns.

Manual Rebalancing Is Too Slow

By the time portfolio drift is identified and positions are manually rebalanced, the opportunity cost and risk exposure have already materialised — costing real returns.

No Attribution Means No Learning

Without granular performance attribution, portfolio managers cannot identify which positions drive returns, which destroy them, or how factor exposures change over time.

No Attribution Means No Learning

Without granular performance attribution, portfolio managers cannot identify which positions drive returns, which destroy them, or how factor exposures change over time.

Multi-Asset Portfolios Are Operationally Complex

Managing FX, equities, commodities, and crypto in separate silos creates disconnected risk views, execution inefficiencies, and blind spots in aggregate exposure.

Multi-Asset Portfolios Are Operationally Complex

Managing FX, equities, commodities, and crypto in separate silos creates disconnected risk views, execution inefficiencies, and blind spots in aggregate exposure.

Client Reporting Is a Manual Burden

Asset managers and family offices spending days every month producing bespoke client reports lose time that should be spent on strategy — and risk errors that damage trust.

Client Reporting Is a Manual Burden

Asset managers and family offices spending days every month producing bespoke client reports lose time that should be spent on strategy — and risk errors that damage trust.

FAQ

Frequently Asked
Questions

We support a range of quantitative optimisation frameworks including Mean-Variance (Markowitz), Black-Litterman, Risk Parity, Minimum Variance, Maximum Diversification, and custom factor-based models. The appropriate model is selected based on your asset universe, mandate constraints, and return objectives.
The rebalancing engine monitors portfolio drift against target allocations in real time. When a configurable drift threshold is breached (by asset, sector, or factor), it triggers an automated rebalancing order — routed through your execution layer (MT4/MT5, cTrader, or FIX API) with slippage controls and position size limits.
Yes. We implement multi-layer drawdown controls: portfolio-level max drawdown stops, individual position stop-losses, volatility-based position sizing, and cash allocation logic that automatically reduces risk exposure when portfolio volatility exceeds defined thresholds.
The platform supports all major asset classes including Forex (70+ pairs), equities (global exchanges via API), spot metals (gold, silver, platinum), energy (crude oil, natural gas), indices (US, European, Asian), and cryptocurrency. Portfolios can be managed across any combination of these within a unified interface.
Yes. The reporting module generates branded PDF and web-based reports on a configurable schedule — daily, weekly, monthly — covering performance attribution, risk metrics (Sharpe, Sortino, drawdown), asset allocation breakdown, and trade-level activity. Reports are delivered automatically to each client portal.

Let your portfolio work harder — automatically

Speak with our quant team to design a portfolio optimisation solution tailored to your strategy, risk mandate, and asset universe.

Talk to Our Quant Team
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