Capital Management

Ancova Volatility Optimizer Fund
AI-Driven Volatility Investing.

Ancova Volatility
Optimizer Fund
AI-Driven Volatility
Investing.

Harnessing artificial intelligence and proprietary strategies to deliver superior risk-adjusted returns in US equities and options markets.

Harnessing artificial intelligence and proprietary strategies to deliver superior risk-adjusted returns in US equities and options markets.

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Executive Summary

Features

Risk First. Returns Second. Compounding Always.

Risk First.
Returns Second. Compounding Always.

The Ancova Volatility Optimizer (AVO) Fund is a systematic equity and options strategy designed to deliver equity-like returns with lower volatility.


Backed by Ancova Investment DIFC Family Office and managed on the fully regulated Ancova Capital Management platform, AVO uses advanced AI, proprietary portfolio optimization, and machine learning to price securities efficiently while eliminating human bias

Risk First, Returns Second, Compounding AlwaysThe Ancova Volatility Optimizer (AVO) Fund is a systematic equity and options strategy designed to deliver equity-like returns with lower volatility.

Backed by Ancova Investment DIFC Family Office and managed on the fully regulated Ancova Capital Management platform, AVO uses advanced AI, proprietary portfolio optimization, and machine learning to price securities efficiently while eliminating human bias

Our Approach:

Our Approach:

Our disciplined approach aims to provide investors with S&P 500-like returns while reducing downside risk, creating a resilient, adaptive portfolio.
Our disciplined approach aims to provide investors with S&P 500-like returns while reducing downside risk, creating a resilient, adaptive portfolio.

Our disciplined approach aims to provide investors with S&P 500-like returns while reducing downside risk, creating a resilient, adaptive portfolio.

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2025 YTD Return

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17.7%, lower than benchmark

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2025 YTD Return

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2025 YTD Return

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17.7%, lower than benchmark

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Methodology

How it works

Methodology Highlights

Powerful Features. Zero Guesswork

Methodology
Highlights

Advanced Risk & Return Management

Simulation-Based Portfolio Construction

Monte Carlo frameworks model complex interactions between equities and options, generating robust strategies across diverse market scenarios.

Tail-Risk Control

CVaR optimization and downside modeling actively manage extreme loss scenarios, protecting portfolios during market stress events.

Ensemble AI Signal Processing

Multiple machine learning models aggregate diverse alpha signals, combining indicators, sentiment analysis, and pattern recognition for enhanced predictions.

Advanced Volatility Modeling

Stochastic volatility, skew, and kurtosis models capture the full distribution of returns, while dynamic correlation tracking adapts to changing market regimes.

The Problem

Traditional
Investment Challenges

Traditional
Investment
Challenges

Traditional equity exposure often ignores volatility drag and potential drawdowns. Risk is typically measured after losses occur, leaving investors exposed to sudden market swings. The Ancova Volatility Optimizer Fund addresses these challenges through:

Traditional equity exposure often ignores volatility drag and potential drawdowns. Risk is typically measured after losses occur, leaving investors exposed to sudden market swings. The Ancova Volatility Optimizer Fund addresses these challenges through:

01

Downside protection and Volatility modeling

Risk is actively managed through continuous Volatility analysis and downside-focused controls.

02

Dynamic portfolio construction using Derivatives

Exposure is adjusted dynamically using options and derivatives to improve risk efficiency.

03

A liquid alternative to traditional equities

Provides equity-like exposure with daily liquidity and improved risk control.

04

Core diversifying growth allocation

After a smooth launch, we monitor performance and provide support to ensure your product continues to deliver value over time.

01

Downside protection and Volatility modeling

Risk is actively managed through continuous Volatility analysis and downside-focused controls.

02

Dynamic portfolio construction using Derivatives

Exposure is adjusted dynamically using options and derivatives to improve risk efficiency.

03

A liquid alternative to traditional equities

Provides equity-like exposure with daily liquidity and improved risk control.

04

Core diversifying growth allocation

After a smooth launch, we monitor performance and provide support to ensure your product continues to deliver value over time.

01

Downside protection and Volatility modeling

Risk is actively managed through continuous Volatility analysis and downside-focused controls.

02

Dynamic portfolio construction using Derivatives

Exposure is adjusted dynamically using options and derivatives to improve risk efficiency.

03

A liquid alternative to traditional equities

Provides equity-like exposure with daily liquidity and improved risk control.

04

Core diversifying growth allocation

After a smooth launch, we monitor performance and provide support to ensure your product continues to deliver value over time.

Our Investment Strategy & USP

The Problem

Advanced, Adaptive,
AI-Powered Strategy

Advanced, Adaptive,
AI-Powered Strategy

AVO employs a multi-layered investment framework, integrating AI-driven signals, proprietary simulations, and machine learning models to forecast returns and identify alpha opportunities. The fund dynamically adjusts exposure and uses derivatives prudently to optimize risk-adjusted returns.

AVO employs a multi-layered investment framework, integrating AI-driven signals, proprietary simulations, and machine learning models to forecast returns and identify alpha opportunities. The fund dynamically adjusts exposure and uses derivatives prudently to optimize risk-adjusted returns.

AI & Automation

Proprietary models reduce human and automate decisions.

Liquidity

Volatility modeling and tail-risk control minimize drawdowns.

Non-Directional

Outperforms S&P 500 historically with lower volatility.

Agile Management

Adapts dynamically to changing markets.

Transparent Reporting

Investors receive comprehensive updates and analytics.

Data-Driven Edge

Continuous innovation ensures long-term fund resilience.

Performance

The Problem

Performance
Snapshot

Since 2017, AVO has generated compelling risk-adjusted returns, achieving 28.90% in 2025 and consistently outperforming traditional benchmarks. Our multi-layered AI framework adapts dynamically to market regimes, delivering alpha through both rising and falling markets while maintaining disciplined risk controls.

Since 2017, AVO has generated compelling risk-adjusted returns, achieving 28.90% in 2025 and consistently outperforming traditional benchmarks. Our multi-layered AI framework adapts dynamically to market regimes, delivering alpha through both rising and falling markets while maintaining disciplined risk controls.

Since 2017, AVO has generated compelling risk-adjusted returns, achieving 28.90% in 2025 and consistently outperforming traditional benchmarks. Our multi-layered AI framework adapts dynamically to market regimes, delivering alpha through both rising and falling markets while maintaining disciplined risk controls.

Since 2017, AVO has generated compelling risk-adjusted returns, achieving 28.90% in 2025 and consistently outperforming traditional benchmarks. Our multi-layered AI framework adapts dynamically to market regimes, delivering alpha through both rising and falling markets while maintaining disciplined risk controls.

PROP TRADING AND MODEL VALIDATION BY DELOITTE

PROP TRADING AND MODEL VALIDATION BY DELOITTE

AVO FUND LIVE TRADING. AUDITED TRACK RECORD

AVO FUND LIVE TRADING. AUDITED TRACK RECORD

Performance

The Problem

AVO’s
Journey

AVO’s journey combines quantitative research, proprietary modeling, and systematic trading:

AVO’s journey combines quantitative research, proprietary modeling, and systematic trading:

🏢

Fund inception and research start

2014
📊

Self-funded pilot trading with USD 500,000

2017
📈

Algorithm development and model enhancements

2020
🤝🏼

Partnership with Ancova Investments Family Office, launching AVO as a CIMA-regulated fund

2022
🎯

Progressive pilot years, achieving 10–28.9% returns with low volatility

2023

Strategy & Investment Team

The Problem

Our Team

Meet Our
Experienced Team

Ronnie Chowdhury

BSc Comp Sci (UCL) MRes Comp Sci & AI (UCL) Head of Metal Derivatives - Deutsche Bank 2012 2017 25+ years quant & AI modelling experience Credit Suisse, Barclays Capital, RBS, BNP Paribas and Citigroup

Ronnie Chowdhury

BSc Computer Science (UCL) MRes Computer Science & AI (UCL) Head of Metal Derivatives - Deutsche Bank 2012 2017 25+ years quant & AI modelling experience Credit Suisse, Barclays Capital, RBS, BNP Paribas and Citigroup

Anthony Silver

BSc in Mathematics and Computer Science (University of Melbourne) Expertise: AI, Optimization, mathematics and portfolios modelling Extensive experience at banks and hedge funds: Barclays Capital, BNP Paribas, Citigroup

Andrew Bradley

MSc Computer Science & Mathematics (Manchester) System architecture and data engineering 25+ years experience of working as IT in large banks Old Lane, DB, Credit Suisse, Barclays Capital, BNP Paribas and Capula

Simon Kaufmann

BSc (Hons) Economics and Finance (University of Melbourne) Portfolio Manager at various organizations in Australia covering finance and telecommunications. Expertise in data engineering, quant modelling and AI.

Maureen Manlugon

Operations Manager

Nawwar Safi

Investor Relations