About

About AI Quantification robots

Quickly respond to market changes. the market is changing rapidly, and the market conditions change all the time. traditional trading methods require manual visits to various types of trading markets, comparison of data back and forth, and making trading decisions. however, human decision-making is inevitably interfered by factors. the risk of untimely transactions interferes with the risk. therefore, the real-time data collection speed and information processing efficiency of AI Quantification can often respond to real-time transaction differences in seconds. efficient data analysis capability AI Quantification can process massive market data, use advanced algorithms to perform data analysis and calculations, and discover hidden trading patterns and market trends. this kind of analysis is almost impossible to complete in the traditional investment process, and machine learning models can be trained to optimize trading strategies and achieve adaptability, thereby making trading decisions more scientific and objective. copying and optimizing trading strategies in AI Quantification investment, trading strategies are critical. users can write automated trading algorithms based on machine learning models and intelligence to replicate and optimize traditional manual trading. this not only improves transaction success rates and transaction returns, but also reduces transaction costs and simplifies the transaction process. efficient risk control in financial transactions, the biggest risk issues are market risk and transaction risk. the AI Quantification robot has powerful risk control technology. it monitors market conditions in real time during the transaction process, strictly controls according to the trading strategy, and adjusts the strategy and position size in a timely manner to minimize risks.

  • Quickly respond to market changes
  • Efficient data analysis capability AI Quantification can process massive market data
  • Replicating and optimizing trading strategies in Quantitative investing improves trading success and trading returns
  • Ai robots can effectively reduce trading costs and simplify the trading process
  • The AI Quantification robot has powerful risk control technology
  • Ai robots can optimize trading strategies by training machine learning models
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Quickly respond

Quickly respond to market changes

Replicating and optimizing trading strategies in Quantitative investing

Improves trading success and trading returns

Efficient data analysis

AI Quantification can process massive market data

Risk control technology

The AI Quantification robot has powerful risk control technology

How does AMM work?

AMM use liquidity pools where users can deposit cryptocurrencies to provide liquidity. these pools then use algorithms to set token prices based on the proportion of assets in the pool. when users want to trade, they can exchange one token for another directly through the AMM, with the price determined by the pool’s algorithm

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50 m+

Total raised

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500 m+

Total raised

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5000 m+

Total raised

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1000 m+

Total raised

Frequently asked AI Quantification questions

In cryptocurrency, AI Quantitative trading uses artificial intelligence to run trades depending on specified algorithms and patterns. Seeking to improve efficiency and profitability in the crypto market, these AI-driven systems examine enormous volumes of market data to find trends and guide trading decisions, and to enhance yields and reduce risk through Quantitative strategies.

AI crypto trading bots are automated software programs that utilize artificial intelligence to analyze market data and execute trades. Without human involvement, they track market circumstances, spot trade prospects, and conduct transactions depending on set plans.

Different artificial intelligence-based trading bots have different efficiency. Their performance depends on the quality of their algorithms and market conditions, even if they can execute trades quickly and analyze data quickly. One should be aware of their limits and hazards.

Several AI crypto trading bots are popular among traders, each offering unique functionalities. Some of the top options include those that provide automated trading solutions, advanced algorithms, and user-friendly interfaces.

To use AI for crypto trading, you can employ AI-powered trading bots that automate transactions, predict market trends, and analyze market sentiment. These bots strive to execute trades faster and more accurately than humans, enhancing trading efficiency.

Yes, there are risks with AI crypto trading bots. These risks include the possibility of software errors, reliance on historical data that may not predict future market conditions, and the possibility of losses if the bot's strategy is flawed, but this situation can be solved by optimizing Quantitative strategies and the probability of occurrence is extremely low. But before using an AI trading robot, it’s crucial to understand these risks.

Onchain AI Quantification team

One vision, one global team building a world-changing platform is a monumental task. these are the people behind it.

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Kris marszalek

Co-Founder & CEO

A seasoned company builder based in Hong Kong, Kris has grown multiple companies from $0 to $100m in revenue. Kris served as CEO at Ensogo, and Founder of BEECRAZY (sold for a reported US$21mm to iBuy Group in 2013)

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Rafael Melo

Co-Founder & CFO

15 years’ experience in finance, deep understanding of risk, compliance and Mobile Payments ecosystem in Asia. Led fundraising efforts as CFO at ASX-listed Ensogo, securing strategic investment from VIPSHOP (NYSE:VIPS) and raising over A$50m from blue chip institutions like Fidelity, Goldman Sachs and BlackRock

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Eric Anziani

President & COO

With 16 years of experience in strategy, product, and sales in Financial Services, Retail, and Technology, Eric enjoys building world-class teams to drive impact and innovation at scale. He previously worked at Goldman Sachs, McKinsey, and PayPal in London, Paris, Singapore, and Tokyo

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Antonio Alvarez

CCO

Prior to joining Crypto.com, Antonio led a successful Anti-Money Laundering (AML) program that was deployed across European and Asian markets at Coinbase. Antonio also served as senior business leader at Visa and has held senior roles at a number of other payments companies including Western Union. During a 13-year tenure at American Express, Antonio served in several different roles where he was responsible for leading the business transformation and compliance governance programs across multiple business lines and geographies

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Sunny Fok

SVP, Head of AI Innovation Technology

Over 20 years of experience in architecting world-class financial and trading platforms at global firms such as JP Morgan, UBS CLSA, UBS, HSBC, BOCI, OSL and first-tier brokerages. With prior Java consulting experience from Sun Microsystems, Sunny is specialized in leading top talent, using innovative and cutting-edge technologies to build and run mission-critical, low-latency and scalable trading and exchange systems for cryptocurrency, equity, forex, futures, options and bullions

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Dimitri Tsamados

Talent

Dimitri Tsamados is Partner at Eric Salmon & Partners, a leadership advisory and executive search firm. Drawing from over 20 years of experience in Asia and a long history of working with high growth companies Dimitri advises technology players across Asia. Before joining Eric Salmon & Partners, Dimitri was a founding partner of DTCA and a partner at CTPartners. He also founded Amhurst Gordon International, a search firm which he grew across East Asia and sold in 2005.

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Matt David

President of North America & Chief Corporate Affairs Officer

For over 15 years, Matt has worked across public and private sectors at the intersection of strategic communications and policy. From leading reputation management and stakeholder engagement for global brands to managing external affairs for Governor Schwarznegger, Matt's passion is leading world class teams and organisations through integrated corporate affairs.

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Antoine Blondeau

Chairman of the Advisory Board

Antoine Blondeau is Founder and Managing Partner of Alpha Intelligence Capital, a global venture capital fund focused on deep Artificial Intelligence/Machine Learning technology companies. Antoine has 25 years of experience in the technology industry, having held senior leadership positions at Good Technology, Salesforce.com and Sybase. Antoine’s career highlights include founding Sentient Technologies, as well as leading Dejima as CEO, the company that powered DARPA’s foundational CALO project that later evolved into Apple’s Siri. Antoine was also COO of Zi Corporation, whose smart text input software was embedded in hundreds of millions of devices.

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Chris Corrado

Trading Technology

Chris Corrado is Chief Executive Officer at Sitehands. Prior that Sitehands, he was Group Chief Operating Officer and Group Chief Information Officer of London Stock Exchange Group (LSEG). Prior to LSEG, he was a Managing Director at MSCI, responsible for technology, data services and program management, CIO/CTO, since 2013. Chris has held a variety of senior CTO roles in leading banks, including Morgan Stanley, Deutsche Bank, Merrill Lynch and UBS. He has also worked for high growth technology companies such as eBay as CTO and AT&T Wireless as CIO.

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Steven A. Cohen

Chairman, Chief Executive Officer, and President

Steven A. Cohen is the Chairman and Chief Executive Officer of Point72, a global multi-strategy asset management firm.Mr. Cohen founded S.A.C. Capital Advisors in 1992 and converted his investment operations to the Point72 Asset Management family office in 2014. The firm later transitioned to become a registered investment advisor and began accepting outside capital in 2018.Mr. Cohen has leveraged his lengthy career in the public markets to found Point72 Private Investments, which includes our global venture capital and growth equity strategies.

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