QuantitativeInvestment ModelsMarketplace

Explore quantitative models with historical backtesting analysis provided for informational purposes.
STATISTICS
Detailed statistical analysis.
Review comprehensive analyses of historical models, including volatility and return profiles, with over 20 statistical metrics and 10+ charts.
6462% Returns
22% CAGR
18% Volatility
-19% Drawdown
1.22 Sharpe
Portfolio
Benchmark
2005201020152020
Equity (hypothetical)
We provide the analysis. You make the trading decisions.
ANALYSIS
Our models are founded on rigorously tested quantitative and mathematical frameworks.
All models undergo professional review by quants before made available on the marketplace.
DECISIONS
We provide the model's 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 models for diverse financial contexts, exploring methodologies and markets aligned with wide preferences.
AI Supported
Quantitative Rules
Delve into models grounded in various mathematical models and quantitative methodologies.
Methodology
Time Series Modeling
Price Momentum
Mean Reversion
Forecasting
Currencies
Bonds
Stocks
Funds
Commodities
The unique features of our quantitative Models.
Selected analytical standard
Models are curated to align with defined analytical standards such as Alpha and Sharpe metrics.
Diversification focused
The marketplace features models designed with diversification in mind.
Dynamic Allocation
Includes models with controlled dynamic allocation changes, excluding passive or high-frequency models.
Low-Frequency Rebalancing
Models adjust at low frequencies, typically a few times per month.
Adaptive Bear Market Models
Highlighting models equipped with mechanisms to adjust effectively during challenging market conditions.
Historical Bear Market Stress Testing
Stress-tested analyses provide insights into models' historical performance during market downturns.
Robust Out-of-Sample Testing
The theoretical models are validated across diverse datasets during the backtest to ensure reliability.
Market Benchmarking
Models are referenced against selected general market benchmarks, delivering valuable comparative insights.
Comprehensive Data Insights
Each model's page features in-depth data for user's evaluation.
Models offering quantitative backtesting edge for independent analysis.
PERFORMANCE
Only models with metrics surpassing those of the benchmark are included, while others are omitted.
Performance-Based Explore models that align with diverse performance metrics preferences.
Asset-Based Browse models tailored to specific themes and principles.
Identify models that meet various performance expectations.
Performance metrics
CAGR
Sharpe
Volatility
Drawdown
Discover Models insights on evolving market trends.
CONVENIENCE
Receive email updates with insights on models rebalances/repositioning.
Each time a model 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
MODELS
Browse a curated collection of quantitative models.
Explore Models →
Portfolio
Benchmark
2005201020152020
AlphaPulse Tactical
6462% Returns • 22% CAGR • 18% Volatility • -19% Max drawdown • 1.22 Sharpe
The AlphaPulse Tactical Model is a quantitative framework designed for analyzing historical performance trends over 21 years using metrics such as CAGR, Sharpe ratios, and Alpha. By examining price movements across a diverse selection of ETFs spanning various market classes and sectors, the model evaluates hypothetical outcomes under different market conditions. Simulations demonstrate how the model has historically managed volatility, drawdowns, and asset selection, emphasizing diversification and balance. Over this historical back-testing period, the model achieved a compounded annual growth rate (CAGR) of 22.05% compared to a benchmark average of 9.93%, offering a data-driven perspective on performance trends within the analyzed context.
Quantitative Rules
Price Momentum
Currencies ・ Commodities ・ Equities ・ Bonds
Portfolio
Benchmark
2005201020152020
SmartVol Tactical
1440% Returns • 14% CAGR • 12% Volatility • -17% Max drawdown • 1.13 Sharpe
SmartVol is a quantitative model designed for volatility management, aiming to minimize peak drawdowns and achieve balanced diversification across Exchange Traded Funds (ETFs) spanning various asset classes, subclasses, and sectors. Leveraging cross-sectional momentum and systematic selection, the model analyzes price trends based on historical risk and performance data, incorporating principles of balance and diversification. Over 21 years of historical back-testing, the model demonstrated metrics such as a 13.91% annual compounded growth rate (CAGR) and consistent Sharpe and Alpha ratios, with observed steady results across diverse market conditions, including periods of decline. The historical back-testing indicates potential benefits of a dynamic rebalancing approach and a focus on high-performing assets in the analyzed time frame.
Quantitative Rules
Price Momentum
Commodities ・ Equities ・ Bonds
We aim to empower individuals by providing smart quantitative models and insights, making them accessible to all.
World
VISION
Our vision is to empower everyone with knowledge, techniques, quantitative approaches for analyzing global markets, ensuring universal accessibility.
MISSION
We provide advanced quantitative models, enabling users to retain full control over their financial decisions and allocations, guided by informational resources.
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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 informational solutions with certain analytical standards. 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 other 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 models all the time and we aspire to provide the best models and solutions for our subscribers. 

We notify our clients/ subscribers with the latest addition of models 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.

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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.