When you subscribe to AlgoMart, you gain access to a structured set of quantitative investment strategies, supported by transparent data, long-term historical simulations, and clearly presented performance and risk metrics.
AlgoMart is designed to give you visibility and context, not automation or advice. Each subscription unlocks strategy-specific data and tools that help you understand how a strategy has historically behaved, how it is structured, and how it responds to different market conditions.
This article explains exactly what you receive—and how each component is intended to be used.

What your subscription unlocks
At a high level, an AlgoMart subscription provides access to:
Quantitative investment strategies with clearly defined rules
Historical back-tested simulations over long time horizons
Performance and risk metrics presented in a consistent format
Strategy allocations and simulated trade history
Rebalance alerts and regime changes
Data exports for independent analysis
Each element is designed to support evaluation and understanding, rather than execution.

1) Strategy data and historical simulations
Every strategy on AlgoMart is presented with a detailed overview, including:
Strategy concept and objective
Quantitative rules (such as momentum-based selection)
Asset universe and diversification framework
Inception date and simulation period
Strategies are supported by historical back-testing, allowing you to explore how they have behaved across multiple market environments, including growth periods, downturns, and stress regimes.
These simulations are generated using AlgoMart’s proprietary engine and are intended to provide context, not predictions.

2) Performance metrics and benchmark comparisons
Subscribers can view a consistent set of performance and risk statistics, which may include:
Compound Annual Growth Rate (CAGR)
Sharpe and Sortino ratios
Alpha and Beta
Annual volatility and downside volatility
Maximum drawdown
Each strategy is compared against a clearly defined benchmark, typically a blended equity/bond allocation that reflects the strategy’s risk profile.
These comparisons help you understand relative behaviour, not just absolute returns.
3) Allocations, trades, and rebalance alerts
AlgoMart strategies operate on a low-frequency rebalancing framework, typically monthly under normal conditions.
Subscribers can access:
Allocation breakdowns at each rebalance point
Simulated trade actions (opens, closes, adjustments)
Rebalance notifications via email
Emergency or defensive regime transitions when triggered by the model
These alerts are designed to inform, not instruct. They allow you to track how a strategy evolves over time and how it historically responds to changing market conditions.

4) Data exports for independent analysis
Subscribers can export strategy data for use in external tools such as Excel or Google Sheets.
Exports may include:
Historical returns
Allocation histories
Performance metrics
Trade logs
This allows you to perform your own calculations, comparisons, or portfolio-level analysis outside the platform, using your preferred workflow.
What your subscription does not include
To avoid confusion, it’s important to be clear about what a subscription does not provide:
AlgoMart does not hold or manage your capital
AlgoMart does not execute trades on your behalf
AlgoMart does not provide personalised investment advice
All decisions and execution remain entirely under your control.
How to use your subscription effectively
Many users find the following approach helpful:
Use strategy pages to understand structure before performance
Focus on drawdowns and volatility alongside returns
Compare strategies relative to their benchmarks
Treat alerts as context, not signals
Combine AlgoMart data with independent research
This approach supports more disciplined and informed evaluation.
Important note (informational use):
All AlgoMart content—including strategy data, statistics, allocations, and alerts—is provided for informational purposes only. It does not constitute investment advice and does not consider individual financial circumstances or objectives.
Users should conduct their own due diligence and consult qualified financial professionals where appropriate.
