AI-Driven Quantitative Signals for Institutional Investment Strategies

Proprietary quantitative models and Artificial Intelligence
at the service of market timing.

EasyTrend builds quantitative infrastructure that turns complex market data into objective, actionable signals, supporting institutional investors in risk management, tactical asset allocation and investment decision-making.

The contents of this website are provided for information purposes only and do not constitute investment advice or a solicitation to invest.

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S&P 5004,982.34+0.62%
Nasdaq15,731.20+0.94%
Dow Jones38,671.69+0.35%
Euro Stoxx 504,877.10−0.18%
FTSE MIB33,124.55+0.41%
DAX17,842.60−0.22%
Nikkei 22538,487.24+1.12%
VIX13.85−3.20%
AAPL189.41+0.53%
MSFT412.65+1.08%
NVDA788.17+2.35%
AMZN174.99+0.77%
GOOGL142.30−0.44%
META486.13+1.61%
TSLA193.57−1.24%
JPM176.55+0.29%
Gold2,024.30+0.48%
Oil WTI78.26−0.63%
EUR/USD1.0765+0.12%
Bitcoin51,842+3.05%
US 10Y4.21−0.07%
Real Time Data Analytics

Market Intelligence, distilled into actionable signals.

A quantitative interface designed to separate the signal from the noise.

A selection of the many instruments covered by the EasyTrend signal engine

Apple

AAPL · NASDAQ

Quote

Model status

Equity curve

Price history

Risk & performance metrics

Illustrative interface — not investment advice

The results shown are derived from historical tests on the model’s signals, with validation optimised on the same historical sample: they are neither an estimate of achievable performance nor a guarantee of future results. A VaR or drawdown of 0.00% indicates the absence of losses in the observed sample, not the absence of risk. Quotes may be delayed and are provided for information purposes only. This interface does not constitute investment advice, an offer or a solicitation to invest.

TECHNOLOGY

Predictive Analytics Decision

EasyTrend is a fintech scaleup specialised in developing proprietary algorithms that generate quantitative signals for asset and wealth management professionals.

Our technology combines mathematical and financial models, advanced statistical analysis and machine learning to identify, with high timeliness, the optimal moments to enter, exit and reduce exposure in financial markets.

The goal is not to replace the portfolio manager, but to strengthen the decision-making process through quantitative evidence that is repeatable, objective and scalable.

Select a stage of the flow to see the detail.

An integrated, continuous data flow that turns market data into actionable signals

SOLUTIONS

A fully integrable quantitative infrastructure

The EasyTrend platform provides:

Quantitative signals

Objective entry, exit and exposure-reduction signals.

Proprietary market timing

Quantitative indicators developed to identify market regime changes promptly.

AI validation

Artificial Intelligence models for the probabilistic validation of signals.

Real-time alerts

Notification and monitoring systems that support fast, disciplined decisions.

API and data feed

Integration through APIs, data feeds and modular connectors.

Operational compatibility

A framework that integrates with the platforms and workflows already in place.

The solution is designed to be adopted without changing the operating processes already in place within the organisation.

APPLICATIONS

Where our model creates value

EasyTrend can be applied across different institutional contexts.

Asset Management

Quantitative support for discretionary and systematic management

EasyTrend provides quantitative signals that support managers in entry, exit and portfolio reallocation decisions. By combining proprietary mathematical models and Artificial Intelligence algorithms, the platform brings together multivariate statistical analysis, non-linear forecasting models and supervised machine learning to identify regime changes, momentum patterns and asymmetric risk conditions in financial markets — helping improve market timing, reduce the emotional component of decision-making and strengthen operational discipline. The solution integrates into existing management processes without altering their governance.

RESULTS

A technology validated on the markets

The EasyTrend framework is designed to generate signals characterised by high reliability, operational continuity and a more stable handling of market cycles, including phases of high volatility.

Among the main findings from historical tests:

0

Correct trades in the case studies presented.

0

Significant reduction in drawdowns compared with the
buy & hold approaches analysed.

0

Sharpe Ratio in the main tests carried out.

0

Model continuity even during phases of high volatility.

Multi-asset

Applicable across a broad investable universe

Select an asset class to browse the instruments covered

FTSE MIB buy & hold vs EasyTrend Signal Framework

The FTSE MIB Index compared with the EasyTrend composite built on the same 40 stocks — Jan 2020 / Jul 2026, base 100. Case study on historical tests.

Period return — EasyTrend — FTSE MIB composite
+295.7%
Period return — FTSE MIB Index
+118.6%
Maximum drawdown — EasyTrend — FTSE MIB composite
-3.8%
Maximum drawdown — FTSE MIB Index
-41.5%
FTSE MIB IndexEasyTrend — FTSE MIB composite

Methodology. The composite replicates the FTSE MIB portfolio of the EasyTrend signal engine: 40 stocks from the basket, 2.5% weight per position, initial capital €10,000, entries and exits at historical signal prices with AI validation active; 836 trades closed over the period. The benchmark is the FTSE MIB Index (price index, dividends excluded). Both series are indexed to 100 at the start date. The simulation does not include transaction costs, commissions, spreads, taxes or liquidity constraints; the results are a case study on historical data and do not represent performance achieved by a real portfolio.

A quantitative approach enhances operational discipline and reduce the influence of emotions on investment decisions.

Important disclaimer

Past performance is not a guarantee of future results. The results shown refer to historical tests and case studies and do not represent a promise of return.

PHILOSOPHY

Artificial intelligence does not replace the portfolio manager. It makes them more effective.

We believe competitive advantage does not come from access to data,
but from the ability to turn it quickly into consistent decisions.

That is why we develop technologies that:

increase the objectivity of the decision-making process

improve risk control

reduce informational noise

preserve the central role of the investment manager

“EasyTrend is designed to support human capital,
not to replace it.”

COMPANY

A fintech scaleup built by financial markets professionals

Founded in 2022, EasyTrend was born from the meeting of years of experience in financial markets, quantitative research and the development of proprietary technologies based on Artificial Intelligence.

The team combines expertise in:

Team expertise:

  • quantitative finance
  • asset management
  • machine learning
  • software engineering
  • governance and compliance

Our mission

Our mission is to develop quantitative infrastructure that is transparent, scalable and integrated into the decision-making processes of institutional finance.

Technical and financial expertise

Quantitative Finance

Asset Management

Machine Learning

Software Engineering

Governance

TEAM

The people behind EasyTrend

A team that brings together financial markets experience, quantitative research and governance.

Gregory Moschin

Gregory Moschin

Founder & CEO

gregory.moschin@easytrend.finance
Silvia Marziali

Silvia Marziali

Cofounder & Project Manager

silvia.marziali@easytrend.finance
Alessandra Barbieri

Alessandra Barbieri

Investor Relator

Antonio Ferrari

Antonio Ferrari

Legal Advisor

Stefano Bonetti

Stefano Bonetti

Senior Advisor

stefano.bonetti@easytrend.finance

THE NEXT GENERATION

The next generation of quantitative market timing.

The EasyTrend website and platform are currently under development. For information, partnerships or institutional presentation requests, please contact the EasyTrend team.

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