Igniting the Future of Quantitative Trading
About Us
Legal
R&D
Core Technology
Business
Members
About Us
Our conglomerate, driven by AI technology,
excels in high-frequency trading.
Legal
Inclusivity, compliance, and transparency have always been the guiding principles we adhere to.
R&D
Our trading method is based on algorithmic research and development.
Core Technology
The Firefly Trading System is our core competitive advantage, as it encompasses all of our trading accomplishments.
Business
We consistently upholds the principles of transparency, compliance, and rationality to ensure that our business collaborations meet the highest industry standards.
Members
To become our member, you need to comply with our Fund's KYC and anti-money laundering policies.
Vision
Shifting the industry framework
There are no intermediaries between the bank, CGCFund, and the customers, which eliminates the initial transaction costs. With a solid foundation in running high-frequency AI algorithms, we can create a stable and profitable trading environment. This direct connection allows our customers to have the most immediate profit potential. Additionally, as the trading volume increases, we can obtain better quotes, resulting in a more stable trading environment. This creates a virtuous cycle. Therefore, we can disrupt all the intermediary stages in the industry and establish CGCFund as a unique trading brand.
Our goal is to become the new unicorn and revolutionize everything!
Planning
During the period from 2023 to 2030, the algorithmic trading market share is projected to grow at the fastest pace in the Asia-Pacific region. Therefore, our market strategy will focus on the Asia-Pacific region as well. We plan to expand our services starting from the Southeast Asian market and gradually extend to countries such as Japan, South Korea, and Taiwan.
Algorithmic Trading Market Trend
The Global Algorithmic Trading Market Size gathered USD 14.1 Billion in 2021 and is set to garner a market size of USD 41.9 Billion by 2030 growing at a CAGR of 12.9% from 2022 to 2030.
The global Algorithmic Trading market size in 2021 stood at USD 14,100 Million and is set to reach USD 41,900 Million by 2030, expanding at a CAGR of 12.9%.
The North American region held the largest algorithmic trading market share, followed by Europe. North America algorithmic trading market value gathered more than USD 5.1 billion in 2021.
The Asia-Pacific algorithmic trading market share is expected to grow at the fastest pace for the forecasted timeframe. Asia-Pacific algorithmic trading market growth will record a CAGR of more than 13% from 2022 to 2030.
Development of AI and ML technologies is one of the key elements why the market has grown at such an exponential pace.
The growth of high-frequency trading and the increasing trend of automation in the financial services sector have also contributed to the expansion of the algorithmic trading market.
The high demand for improved risk management and enhanced trading performance is expected to further fuel market growth in the coming years.
Algorithmic Trading Market By Solution
Algorithmic Trading Market By Solution
Foreign Exchange (FOREX)
Stock Markets
Exchange-Traded Fund (ETF)
Bonds
Cryptocurrencies
Others
Institutional Investors
Long-term Traders
Short-term Traders
Retail Investors
Improvement in speed and accuracy which helps to make faster and more accurate trading decisions, reducing the risk of missed opportunities and errors. The use of mathematical models and advanced algorithms helps traders to quickly analyze market data and make informed trades.
Reduction in costs as algorithmic trading eliminates the need for manual trade execution and reduces the need for human intervention. The automation of trading processes helps traders to achieve improved efficiency.
Enhanced Risk Management since algorithmic trading helps to monitor market conditions and adjust their positions in real-time helping traders make more informed decisions and minimize their exposure to market risk.
Improved Market Liquidity helping traders to execute large trades with minimal market impact. This improved liquidity enhances the efficiency of financial markets and benefits all market participants.
Growing Interest in Quantitative Trading helps in making better trading decisions. Algorithmic trading provides them with the tools and technology to execute these trades efficiently and effectively.
Growth in financial markets worldwide is driving the demand for algorithmic trading. As more financial instruments become available for trading, algorithmic trading provides traders with a faster and more efficient method for executing trades.