Get Started

Everest - A Diversified Long/Short Strategy

A diversified, systematic multi-strategy vehicle, which aims to generate long-term absolute returns by creating layers of statistical agents across asset classes through different signals, universes and frequencies. The investment universe is composed of global liquid futures instruments and global large cap equities.

Get Started

Apple store buttonGoogle play button

Investment Universe

World’s Most Liquid Futures and Developed Equities


Strategy Type

Long/Short, Diversified


Managed by

RAM Active Investments S.A.

Strategy Highlights

Low Minimum Investment $20,000

Philosophically Different

Believing that any non-stationary network/ecosystem requires a different methodology to observe their interactions and statistical properties.

Low Minimum Investment $20,000

Systematic With Large Scale Analytics

We thrive on the term “data-mining” where others are fearful of the term, the reason is because we are operationally designed for this purpose and therefore are approaching the problem with a different set of tools.

Low Minimum Investment $20,000

Technologically Driven

Linking hardware to software development in order to process the data and using GPU technology.

This Is Why Everest Is the Right Strategy for You

The fund’s investment universe is composed of the world’s most liquid Futures (bonds, equity indices, FX, and commodities) and the most liquid developed equities:  

  • Futures: 100 most liquid global futures contracts 
  • Equities: the most liquid equity stocks globally according to absolute (per region) and relative (i.e. excluding a constant percentage of the less liquid securities) thresholds for market cap and ADV universe of roughly 1,500 stocks.

Its philosophy consists of using technology and data to find patterns in the dispersion between all the securities in a universe. This is achieved by simulating a large number of Agents (>100 million) using large combinations of signals, time frequencies and universes.

Each Agent is a Long-Short portfolio based on a different sub-universe (e.g. Agri-commo for futures or a statistical cluster for cash equities) based on a different signal (e.g. close price for Cash equity). The large number of Agents generates two challenges: to optimize a high-dimensional portfolio and distinguish signal from noise, using a proprietary genetic algorithm.

The strategy comprises of a mix of short-term, mid-term and long-term strategies (Agents) that can be categorized as trend following or mean reverting. The process is repeated annually to update Agents with the most recent data.

Relying on techniques borrowed from natural sciences for solving multi-dimensional problems, the proprietary genetic algorithm replicates an evolving system allowing our models to select the strongest and most robust alphas, making the overall strategy resilient. The proprietary optimization process allows for a selection of lowly-corelated agents/strategies, aiming at generating absolute return over the mid to long term.

Millions of agents are filtered and selected later via the proprietary Genetic algorithm. Optimization. This high number is possible given the high computational intensity of our process. A proprietary optimizer has been developed directly in CUDA in order to reduce the steps between software and hardware and parallelize the computation. Using traditional techniques, it would take a month to run one portfolio optimization, it takes minutes for our process. 

Regarding complexity in absolute, it is very simple with the current version of the model being based on 4 programs:

  1. Futures cross-asset
  2. Cash equity US
  3. Cash equity Europe
  4. Cash Equity Japan

Each program is based on average on thousands of agents, each agent is a Long-Short portfolio based on a different sub-universe (e.g. Agri-commo for futures or a statistical cluster for cash equity) based on a different signal (e.g. close price for Cash equity). The final portfolio is composed by thousands of securities, cross-assets, long and short.

Download Our Latest Performance Report

Interested in alternative investment strategies? Download our performance report now!

HEDGE FUND MANAGER

Everest Is Managed by Philippe Huber & Tony Guida

RAM Active Investments SA (“RAM AI”) is a research driven investment manager specializing in sustainable liquid and alternative investments. RAM AI was established in 2007 with the conviction that harnessing data, technology, and human experience is pivotal to deliver sustainable returns and creating innovative and active solutions to investors.

Philippe Huber is the Portfolio Manager and an Executive Director for RAM Active Investments SA. Philippe is an award-winning PhD in Econometrics and Statistics and holds MSc’s in both Physics and Econometrics and Statistics. He has several publications under his name in some of the best academic journals in Statistics. Philippe started his career in 2006 and joined RAM Active Investments in June 2016.

Tony Guida is the Portfolio Manager and an Executive Director for RAM Active Investments SA. Tony holds a BSc and a MSc degree in Econometry and Finance. Tony started his career in 2006 and joined RAM Active Investments in 2019. Tony is a published author in quantitative finance and a Lecturer in Machine Learning applied to financial markets.

“Our capacity of improving our strategies is causally linked to computing power.”

Philippe Huber
Hedge Fund Manager @ CARL Everest, LLC

Sophisticated Alternative Investments Aren’t Just for Institutions Anymore

Get Started

GET STARTED

3 Easy Steps to Invest in Our Everest Strategy

Investing in our Everest hedge fund strategy is pretty simple: just create an account, add the strategy to your portfolio and on the next funding cycle you're in.

Set Up Your Account

Quickly and securely create your account, verify your investor status and become a member of our community.

Analyze Investments

Search for offerings that fit your risk and return criteria, create model portfolios, and use the CARL tools to help you identify the best investments for you.

Fund Your Investment

Simply choose an account type, fund your investment, and follow your investment portfolio on CARL.

What Investors Say About CARL

"I didn’t know investments like this existed before finding CARL, and I guess they didn’t for regular investors until now. It provides so many more options, I can now manage my own hedge fund portfolio, diversify my investments and I have the potential to earn a return regardless of market direction."

Chris
CFO, Michigan

OUR STRATEGIES

Besides Everest We Also Offer Other Types of Strategies

Combining flexibility and versatility, quant hedge funds are the perfect opportunity to cover all your bases. By exposing your portfolio to non-traditional asset classes besides traditional revenue areas like the stock market or real estate, you can gain lucrative benefits, especially in volatile markets. Whether you have years of experience as an investor or you're looking for new investment opportunities – CARL is your ticket to investment success.

Fitz Roy

Fitz Roy's primary objective is to generate superior returns while minimizing risk. The Fund seeks to achieve its objective by taking advantage of a proprietary investment product designed to identify short-term investment opportunities in portfolio holdings.

Strategy details

El Capitan

El Capitan's fundamental philosophy is based on the selection of global markets with the greatest inflow of capital at the present time. The strategy uses quantitative decision making techniques that measure the strength of the market based on the flow of capital.

Strategy details

MB Commodities Capital

MBCC uses forward looking cross asset arbitrage models to pick up on future demand trends that are yet to be priced into the Equity and Commodity market based on any economic cycle.

Strategy details

Teton

Cayler Capital LLC (CCL) is a systematic energy program that seeks to deliver growth, diversification, and preserve capital in the oil market via systematic discipline with fundamental analysis. CCL is focused on trading futures and options in the WTI, Brent, Gasoline, and Heating Oil markets.

Strategy details

Dynamic Factor Portfolio

Fuji employs the Dynamic Factor Portfolio Strategy (DFP) developed by our Co-Founder, Masao Matsuda, PhD and FRM as a result of his years of research as a Financial Risk Manager (FRM) at Nikko Securities and beyond....

Strategy details

Carthage Fund II

Carthage's primary objective is to achieve a weekly profit margin of +0.5-1% through the sale of options, collecting premiums, which is expected to compound to an annualized return in the range of +30-60%. Notably, our strategy yielded impressive returns of +194% in 2020, +149% in 2021, +30% in 2022, and +41% in 2023....

Strategy details

Denali Investment Strategy by CARL

Denali

Denali's investments in US stocks allow this strategy to preserve capital in down periods and react quickly during strong uptrends. This defensive approach blends low-risk affinity with long-term return goals to create revenue streams.

Strategy details

K2 Investment Strategy by CARL

K2

K2 blends behavioral finance and traditional valuation techniques to select stocks from the S&P 500. The fund strategy is quick to react to stock market ups and downs and aims at consistently generating profits.

Strategy details

Kilimanjaro Investment Strategy by CARL

Kilimanjaro

Energy, metals, agriculture - Kilimanjaro invests funds in futures spanning the entire commodities spectrum. Its market-neutral approach makes this strategy a perfect pairing with other uncorrelated or other more straight-forward strategies.

Strategy details

Olympus Investment Strategy by CARL

Olympus

Olympus uses three fully automated and complementary systems to generate returns. Unlike many hedge funds, this strategy takes full advantage of quant methods to generate revenue for its investors.

Strategy details

Victory Peak Investment Strategy by CARL

Victory Peak

Multiple systems compete for capital, emphasizing compound annual return while aiming to minimize drawdown. This strategy seeks to determine the current behavioral regime and apply capital only when the corresponding probabilities show a positive mathematical expectation.

Strategy details

Matterhorn

Matterhorn uses statistics to take advantage of the price actions of different securities. The strategy invests in financial instruments representing: US equities, US bonds and commodities.

Strategy details

Everest

A diversified, systematic multi-strategy vehicle, which aims to generate long-term absolute returns by creating layers of statistical agents across asset classes through different signals, universes and frequencies.

Strategy details

Still Need Help?

If you have any further questions about hedge fund investing opportunities, our Everest strategy or about CARL in general, please do not hesitate to contact us.

Talk to CARL

Ready to Invest in Alternatives?

Get Started

Was this information useful?
(0ratings, Ø 0.0)