The target of the system is not only the stock market and coin market, but also all product investment markets such as futures, exchange rates, and raw materials.
The system's engine is based on mathematical and statistical models. Therefore, information on market analysis or rumors is completely excluded and only price prediction through data analysis is applied.
Artificial intelligence AI (= Artificial Intelligence)-based jaul trading creates investment patterns for new phenomena through an AI self-learning function (= Deep Learning) based on past data in a basic investment algorithm. Decisions are made and trading is autonomously conducted by computers 24 hours a day, 365 days a year.
In addition, although they may trade themselves, they control the quantity of spots (eg stock exchange individual stocks or coin exchange asset coins) required for "automatic trading".
In the autonomous trading decision-making, the following two algorithms complement each other to make the decision.
① Indicator algorithm
All conditions necessary for market analysis are indexed, and a decision to buy or sell is made according to the index.
② Chaos algorithm
It is an algorithm that analyzes unsystematic and unrealistic factors such as natural phenomena. For example, it is the same as making a decision to buy or sell by judging the status of overbought and oversold.
The system's engine is based on mathematical and statistical models. Therefore, information on market analysis or rumors is completely excluded and only price prediction through data analysis is applied.
Artificial intelligence AI (= Artificial Intelligence)-based jaul trading creates investment patterns for new phenomena through an AI self-learning function (= Deep Learning) based on past data in a basic investment algorithm. Decisions are made and trading is autonomously conducted by computers 24 hours a day, 365 days a year.
In addition, although they may trade themselves, they control the quantity of spots (eg stock exchange individual stocks or coin exchange asset coins) required for "automatic trading".
In the autonomous trading decision-making, the following two algorithms complement each other to make the decision.
① Indicator algorithm
All conditions necessary for market analysis are indexed, and a decision to buy or sell is made according to the index.
② Chaos algorithm
It is an algorithm that analyzes unsystematic and unrealistic factors such as natural phenomena. For example, it is the same as making a decision to buy or sell by judging the status of overbought and oversold.
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