Resource-rich
● MNC
● Business Alliance
● Diverse live feeds (firsthand)
Research & Development
● The Quantum Fund trading system
● AI analysis
● Trading strategies
Cross-border talent
Fintech advisory team
● A dedicated team from Wall Street
● We provided solutions for multiple financing companies
● Finance experts, mathematicians, and scientists
WHY CHOOSE US?
Why Divide Quantum?
Divine Quantum was formed in 2007 using mathematical economics.
Divine Quantum 2 was born in the era of big data, which can sample and infer the laws of financial markets for prediction.
Divine Quantum 3 is jointly developed by Rainmaker Quantum and the CEO of the short-term CFD market order suitable for the current financial market.
Our Founder
Dr. Jo R.S.
‘Gamestop incident is a victory for retail investors in the US, we want to help retail investors in Asia take the lead’
“Big data can guide the financial industry to cooperate with financial leverage, and it will make money faster than a money printing machine”
“The development of artificial intelligence is changing the world” – Dr.Jo (Founder of Rain Maker Quantum)
- Singaporean
- Finance expert
- Soros disciple
- Multiple companies owner
RAINMAKER
TGC Broker
etc
6 core algorithms of Divine Quantum
For the analysis of the entire level, Divine Quantum will use different algorithms for thinking modes.
Big Data
Big data is the ‘fuel’ of AI algorithms. It collects data related to the global financial market, including past data, real-time data and a large amount of unstructured data, including market pending orders, position data and market thermal analysis. It also covers information data at the national level, such as: the United States declared war on Iran, the cause of the war, and the scale of the war.
Monte Carlo Simulation
The Monte Carlo algorithm, based on the intelligent data of factor analysis, uses a statistical method to continuously deduce the possibility of the future, and predict the market reaction to the price in the next 1 minute in 0.02 milliseconds.
The Strategy and Valuation Network
The strategy network and valuation network will evaluate the entire market through each feasible strategy, judge the winning rate of each strategy, and repeatedly deduce the strategy with a higher winning rate.
Value at Risk (VaR)
Value at Risk algorithm Value at Risk, which can examine the market, evaluate the investment value of various assets, allocate the proportion of each investable asset, and analyze the investment income of each possible decision in real-time market conditions.
Quantum Parallel Computing
Artificial intelligence uses quantum parallel computing to increase computational efficiency exponentially. It can calculate 80,000 possibilities in parallel per second. It combines a large number of different market data with all algorithms to conduct market analysis, strategy analysis, and risk control analysis to make decisions.
Deep Neural Network
The deep neural network model is guided by the target result, continuously deduces each data forward and backward in each decision, analyzes, evaluates and decides the options and learns, so that it can optimize the next decision to achieve the target result.
Need Help?
Have a question or require specialist assistance? Contact our dedicated customer service team who are available 24/7 to assist you!
