Creates system interfaces for sending orders which sales orders can be obtained from any algorithmic trading system (AFL, MQL4, MQL5, JAVA, C, C#, Visual Basic. , Python, R, MathLab, AI, Machine Learning, Deep Learning)
Response to future trends, investors will increasingly focus on creating automated trading systems and using computers to automatically place orders.
Send commands quickly and able to make decisions without emotion.
Reduce the time that investors lose in watching the stock price screen.
User can view the history of the history (History Report) to check and correct the algorithm.
Adding liquidity to the market so that there is enough bid offer volume for all investors.
Encourage and support the profession of Computer Science, Computer Engineering, Finance and Financial Engineering.
Comply with the government policy of Thailand 4.0 to upgrade the technology of Capital Market.
Connect to trading applications and popular coding languages
Provide realtime market data
Receive trading signal from algorithm and send to broker
Recieve orders from SkyNet