INVESTMENT FUND

QIS Capital offers our investors asymmetric exposure to one of the biggest macro opportunities in our lifetimes. Our fund is well-positioned to take advantage of both upside and downside directional movements in cryptocurrencies. We employ machine learning-based investment strategies that are fully automated 24/7, 365 days a year. Our algorithms find low-risk opportunities to enter / exit long and short positions. Although we expect Bitcoin and crypto as an asset class to rise significantly, there will be periods of large drawdowns if one invests using a long only / buy and hold strategy. Our fund avoids large drawdowns and allows greater compounding of investment returns by using artificial intelligence to trade the markets at high speed. Our algorithms process vast amounts of data and take directional exposure but only for short periods of time. This is the key innovation that our fund brings to the financial markets.

PORTFOLIO

We invest and trade the major liquid coins, including Bitcoin and Ethereum, that are listed on centralised and decentralised exchanges. We use our proprietary investment algorithms to generate tens of thousands of trading signals per year. Our holding period varies from short-term (several seconds to minutes) to long-term (days and weeks). With these signals, we construct a balanced portfolio, with no extreme risks in gross exposure, net exposure, issuer concentration or leverage. We also run a conservative risk management overlay and do not employ leverage in our portfolio.

Invest in

QIS Capital

INVESTMENT FRAMEWORK

Themes/Macro

Global markets are themes driven. An understanding of mega trends and global macroeconomic conditions will impact asset allocation decisions.

Fundamental

Fundamental factors play an important part in our long-term process. We assess changes in supply and demand, inventory and other fundamental factors.

Quantitative/Technicals

Quant and technical analysis drive our short and medium-term trading. We use machines to monitor market trends, microstructures and cross-asset relationships.

News/Sentiment

News and major global events can drive near-term price movements. These serve as catalysts to drive gradual and step-change in the market's view on asset valuation.

INVESTMENT PROCESS

STEP1

Data Collection & Exploration

STEP2

Data Curation & Feature Analysis

STEP3

Strategy Creation

STEP4

Backtesting & Stress-testing

STEP5

Market Monitoring & Trade Execution

STEP6

Portfolio Construction

STEP7

Risk Management & Portfolio Review

FAQ

What is QIS Capital?

QIS Capital is a new type of investment fund created by financiers and technologists. We use artificial intelligence, big data, and cloud computing to invest in cryptocurrencies. With this novel approach, we can build portfolios that can generate superior risk-adjusted returns for professional investors.

Why invest in digital assets?

Investing in digital assets provide

1) a hedge against fiat currency devaluations and

2) exposure to growth assets in a more digitally-driven world.

How does our investment process use artificial intelligence, big data, and cloud computing?

We use artificial intelligence, big data, and cloud computing to collect and analyse vast amounts of  financial markets data to develop price prediction models of major asset classes. We use these algorithms to make investment decisions, execute trades, and manage portfolio risks.

Who can invest in the fund?

Only accredited investors are eligible to invest in the fund. Investment in the fund is open for non-US investors only.

MANAGING TEAM

CIO

Kas Vardhanabhuti

  • Kas brings investment and trading acumen through his experience at global financial firms. Prior to QIS, Kas oversaw and analyzed investment opportunities and at Soros Fund Management, Davidson Kempner, Dymon Asia, and Morgan Stanley.

  • Kas graduated with a BA and an MA in Biochemistry from Oxford University, and an MBA Wharton. Kas is also a CFA Charter holder.

CEO

Tee Vachiramon

  • Tee brings technological knowledge as the founder and CEO of Sertis, a leading artificial intelligence company in Asia, using AI to solve real-world business problems for major corporations. Prior to QIS and Sertis, Tee is an experienced entrepreneur having co-founded multiple deep-tech companies in Asia. 

  • Tee graduated with a BA and an M.Eng in Electrical and Information Science Engineering from University of Cambridge.

General Partner

Yannan Wang

  • Yannan brings technological knowledge and investment experience through his career in entrepreneurship and finance. Prior to QIS, Yannan co-founded multiple deep-tech companies in Asia, co-founded a global real estate private equity company, and created risk-models for financial institutions at Oliver Wyman. 

  • Yannan graduated with a BA and an M.Eng in Manufacturing Engineering from University of Cambridge.

Director

Anthony D'Silva

  • Anthony D’Silva is the founder of Incu Global, a global multifamily office platform. Prior to Incu Global, he was a partner of Apex Fund Services and Managing Director at Apex Investment Consulting.

  • Anthony has completed an MBA Essentials Certification Course from the London School of Economics and Political Science.

Deputy CIO

Krit Jannak

  • Krit focuses on quantitative research and specializes in systematic trading with a focus on L/S statistical arbitrage and market-neutral strategies. Krit previously worked for leading firms such as WorldQuant, JPMorgan, SCB Asset Management and Government Pension Fund.

  • Krit also holds degrees in Financial Engineering and  Financial Statistics from Henley Business School, University of Reading and London School of Economics and Political Science.

General Partner

Lili Wang

  • Lili brings investment and risk management experience through her career in investment banking, private equity, and public-markets trading. Prior to QIS, Lili managed and analyzed investment strategies at Goldman Sachs and Seneca Capital, and co-founded a global real estate investment company.

  • Lili graduated with a BA in Economics and an MS in Management Science and Engineering from Stanford University.

Research, Engineering and Operations Team

Alexandre Boyker

Associate Principal of Research & Investment

Tuntai Boriboonthana

Senior Quantitative Researcher

Chawanvit Ekarittikrai

Data Scientist

Tanapat Xu

Senior Software Engineer

Khunpisit Siriyaphan

Senior Software Engineer

Rinlapat Pusanasurapant

Product and Operations Manager

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