QuantitativeInvestment StrategiesMarketplace

Back-tested quantitative investment strategies with transparent metric data and a market benchmark-beating edge.
STATISTICS
Detailed statistical analysis.
Review comprehensive strategy analyses of historical data—covering returns, volatility, Sharpe ratios, alpha profiles, and more—supported by over 20 statistical metrics, 10+ visual charts, as well as allocation and trade records.
6801% Returns
22% CAGR
18% Volatility
-16% Drawdown
1.24 Sharpe
Portfolio
Benchmark
2005201020152020
Portfolio Value (hypothetical) Vs Market Benchmark
We craft advanced theoretical strategies. You make the market moves.
ANALYSIS
Our strategies are founded on rigorously tested quantitative and mathematical frameworks.
All strategies undergo professional review by quants before made available on the marketplace.
DECISIONS
We provide the strategies and analysis, and you manage your trades and capital independently.
We do not manage your trading account. You retain full control over where and how you trade.
VARIETY
Various strategies for diverse financial contexts, exploring methodologies and markets aligned with wide preferences.
AI Supported
Quantitative Rules
Delve into strategies grounded in various mathematical strategies and quantitative methodologies.
Methodology
Time Series Modeling
Price Momentum
Mean Reversion
Forecasting
Currencies
Bonds
Stocks
Funds
Commodities
The unique features of our quantitative Strategies.
High analytical standard
Only strategies meeting high theoretical analytical standards—such as superior Alpha and Sharpe ratios—are selected
Only Diversified
A carefully curated selection of diversified theoretical strategies, thoughtfully designed for balance and resilience.
Dynamic Allocation
Includes strategies with controlled dynamic allocation changes, excluding passive or high-frequency models.
Low-Frequency Rebalancing
Adaptive strategies, rebalance at low frequencies, free from passive drift and higher-frequency noise.
Adaptive Bear Market strategies
Highlighting strategies equipped with mechanisms to adjust effectively during challenging market conditions.
Long-Term Backtests with Forward Validation
A minimum of 10 years of backtesting rule to ensure credibility across multiple bear market conditions. Forward testing then validates performance in real-market conditions after deployment to our marketplace.
Robust Out-of-Sample Testing
The theoretical strategies are validated across diverse datasets during the backtest to ensure reliability.
Market Benchmarking
Our strategies are benchmarked against a combination of key market indices, providing clear, visual insights into performance and highlighting strategies' edge.
Comprehensive Data Insights
Each strategy's page features in-depth performance and historical data for user's evaluation.
Comparative perspectives on strategies and benchmarks, uncovering how performance and risk dynamics shape long-term outcomes
CAGR (Compounded Annual Growth Rate) vs Annual Volatility
Growth with Control: Discover Strategies That Deliver More with Less Risk
See which strategies strike the perfect balance between consistent returns and smooth performance. Our risk-return chart reveals the models that grow your capital without the roller-coaster ride.
456789101112131415161718Volatility46810121416182022CAGR
Portfolio
Benchmark
CAGR (Compounded Annual Growth Rate) vs Maximum Drawdown
Resilient Growth: Proven Performance Through Market Stress
Explore which strategies have powered through the toughest downturns while still compounding wealth. This resilience chart highlights models designed to protect your downside while maximising long-term gains.
1015202530354045Maximum Drawdown46810121416182022CAGR
Portfolio
Benchmark
Strategies offering quantitative backtesting edge for independent analysis.
PERFORMANCE
Only strategies with metrics surpassing those of the benchmark are included, while others are omitted.
Performance-Based Explore strategies that align with diverse performance metrics preferences.
Asset-Based Browse strategies tailored to specific themes and principles.
Identify strategies that meet various performance expectations.
Performance metrics
CAGR
Sharpe
Volatility
Drawdown
Discover Strategies insights on evolving market trends.
CONVENIENCE
Receive email updates with insights on strategies rebalances/repositioning.
Each time a strategy is rebalanced, we send an email with the rebalance report.
Asset
Weight
Microsoft Corp
25%
Apple Inc
15%
Meta Platforms Inc
10%
Alphabet Inc
10%
Metric
Value
Equity
$653.61
Annual Returns
16%
Max Drawdown
-12%
Running High
$710.42
Browse and Compare Curated Quantitative Insights
Transparent Performance: Every Metric That Matters
Dive deeper into the numbers with side-by-side comparisons of AlgoMart strategies and their benchmarks. From Sharpe ratios to alpha, beta, and maximum drawdowns, our curated tables make it easy to evaluate strengths and trade-offs across strategies and compare them to the market benchmarks. Use these insights to make confident, data-driven allocation decisions.
Choose the plan that works for you or try Algormart with free trial.
We empower our users with cutting-edge, intelligent quantitative strategies that unlock profitable market opportunities.
World
VISION
Our vision is to empower everyone with the knowledge, techniques, and quantitative strategies to navigate global markets, ensuring universal access to theoretical investment solutions that have the potential to unlock profitable market opportunities for all.
MISSION
We provide advanced quantitative long-term strategies that enable users to retain full control over their financial decisions and allocations, guided by transparent, trackable therortical investment solutions.
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Sincerely,
AlgoMart Team
Frequently Asked Questions
Do you have other questions? Please contact us and we will clear everything up!

AlgoMart is a marketplace offering subscription-based access to various quantitative investment models. These models, designed to outperform their broader market equivalent benchmarks, are software that simulate and back-test quantitative algorithms. They provide subscribers/users with the output of the model's algorithms, including simulated back-test statistics, charts, historical trades, and allocation/position data.

It is important to note that these solutions are entirely theoretical and do not represent real traded accounts.

Algomart does not offer financial advice. Algomart does not evaluate/ assess your level of risk or recommend any products to you; however Algomart does provide you with investment models as software output in the form of information. Algomart does not manage your money or facilitate your trading transactions.

AlgoMart does not provide investment opportunities or operate as an investment fund or vehicle. Instead, AlgoMart is a subscription-based marketplace that offers access to quantitative investment models as informational solutions.

It is important to note that AlgoMart is not a Robo-Advisor and does not provide financial advice or investment opportunities. Rather, AlgoMart delivers information-driven solutions designed to give users access to mathematically modeled and quantitatively derived investment strategies for analytical purposes.

  • You receive rebalance reports for assets or tickers allocations and positions, which you can use for analysis. These assets may include ETFs. Funds, stocks, commodities, currencies, or bonds.

  • The allocations and positions are derived from quantitative, mathematically designed investment models.

  • These models are theoretical and have been historically back-tested to demonstrate the potential for generating higher alpha compared to market benchmarks, as well as achieving a higher Sharpe ratio relative to the models' historical volatility.

  • The models are diversified and dynamically rebalanced with the aim of reducing losses, volatility, and drawdowns.

  • The dynamic nature of these models' algorithms allows them to adapt to changes in market conditions. They are based on various quantitative methods, including trend following, price momentum, mean reversion, and may incorporate AI or machine learning techniques.

  • The models also include mechanisms for emergency exits, reallocating positions during down markets or bear market events to help reduce drawdowns and volatility.

  • You will receive rebalance reports via email whenever the model rebalances or updates its positions.

You will receive notification emails containing the models’ rebalance reports whenever any model undergoes a rebalance or changes its position.

AlgoMart's quantitative models are designed for strategic, long-term analysis. Typically, these models rebalance once to a few times per month, unless emergency signals are triggered during periods of market downturns or bear markets.

The models operate based on daily price data and adhere to specific rebalance criteria. One of these criteria ensures that no model rebalances more than once within three consecutive days.

You do not have to rebalance your account every time the model rebalances and we recommend you consult your financial advisor before following any investment Models.

AlgoMart’s quantitative models leverage the power of quantitative science, AI, and mathematical modeling to deliver high-quality informational solutions. However, it is important to note that past historical performance of our models does not guarantee or promise similar outcomes in the future.

We provide these models as standalone informational tools, without soliciting clients to invest with us or establish funds. The quality of our models is the cornerstone of our information subscription services, driving our commitment to delivering the best solutions with complete transparency. This dedication reflects our focus on ensuring value for our clients, as the quality of our models forms the basis of our revenue.

Models that significantly deviate from their original parameters when deployed in AlgoMart’s marketplace or consistently underperform their benchmarks over a sufficient period will be removed from the subscriptions list and the marketplace for optimization, verification, or potential cancellation. Subscribers will be notified via email when such processes are triggered, and an appropriate notice period will be provided to ensure a smooth transition.

At AlgoMart, we strive to have theoretical models with the highest possible alpha and Sharpe ratios, reflecting robust performance metrics. However, it is important to note that historical back-testing is not a predictor of future results. Instead, it provides users with a framework to analyze the potential profitability of models that aim to leverage trends, momentum, and price reversions.

We do not assess models based on their risk to subscribers, as we do not provide financial advice. However, subscribers can utilize the available statistics, charts, and historical trade data to independently select the quantitative model that aligns with their individual risk tolerance and desired outcomes.

We offer a diverse range of models with varying levels of historical theoretical volatility and returns, as observed in back-test simulations. One consistent characteristic across these models is that they demonstrate alpha and Sharpe ratios exceeding certain analytical benchmarks.

We strongly recommend consulting a qualified financial advisor to evaluate the suitability of these models for your specific risk profile and financial objectives.

We add strategies all the time and we aspire to provide the best strategies and solutions for our subscribers. 

We notify our clients/ subscribers with the latest addition of investment strategies to the marketplace by emails and notifications.

We aim to help transform the financial sector into one that prioritizes information and knowledge-based solutions over fund-centric approaches, empowering a broader audience to harness the potential of quantitative science. Our goal is to help democratize markets access by making quantitative models and data-driven insights available to a wider public through information subscriptions.

Theoretical models may potentially demonstrate profitability by leveraging quantitative mathematics and market trend analysis to identify opportunities.

Subscription services provide access to the software’s output, including rebalance reports and allocation data. However, the software underlying these investment models, along with the models themselves, remains the proprietary technology and intellectual property of AlgoMart.

We do not provide trial periods for subscription products but we do offer the following: 1 Month, 6 Month and 1 Year subscriptions as the investment models are long-term strategic information solutions.

AlgoMart does not have a mobile app currently but we are planning the launch of a mobile app soon. We will let all our users know when the AlgoMart Mobile App is released.

AlgoMart Ltd © 2025 All rights reserved
2nd Floor College House, 17 King Edwards Road, London, HA4 7AE
Disclaimer: The content on this website is provided for informational purposes only and should not be interpreted as financial advice. Please consult a licensed advisor before making investment decisions.