a2tt

System Trading (2017)

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System Trading 1

Comment

β€œThe dream was big, but the result was insignificant.”

Team Member

a2tt

Service Period

Oct 16 ~ Dec 22, 2017

Status

End-of-life

Introduction

Stock prices are affected by several factors, but eventually they are formed through a method called trading. By linking Kiwoom Securities' API and machine learning model, it was attempted to predict the rise/fall of stock prices according to changes in trading volume.

Skills

Tensorflow 1.x
Kiwoom API, PyQt5, Pyro4
Python, Windows OS

Features

  • To receive real-time orderbook and basic information of a stock.
  • To show UI for account status and stock trading using PyQt5.
  • To process data receiving, stock trading, account data, and so on.
  • To predict the rise/fall of stock prices through RNN model, and to buy/sell stocks.