In recent decades, there has been a growing computerization of order flow in the stock markets. By 1990s, the networks went to the full electronic execution of orders. This led to the growth of market liquidity by order of magnitude. It also led to the growing use of algorithms to assist human traders to do better price execution.

In 2001, IBM published a paper on AI, which showcased that algorithms outperformed humans every time. This led to a boom is the use of algorithms for trading. Most large institutions used algorithms to execute trades.

In 2005, the Metatrader 4 (MT$) was launched, which made algorithmic trading possible for retail traders. Other software began to show up such as NinjaTrader and many others. There are also sites today, which encourage traders to create strategies and automate them. The use of APIs has also made it possible for coders to create custom software and link it to an exchange or broker of choice.

The creators of this project became part of this algorithm wave in 2011 and by 2012; their trading system was making them a profit. They started their algorithmic trading movement in 2015 in Singapore to get like-minded people to join automated trading. They also held various workshops meant to optimize this automated strategies.

According to estimates from the world economic forum, the Fourth Industrial Revolution is currently transforming labor markets. This will lead to a net loss of more than 5 million jobs in 15 of the most developed and emerging economies by 2020. This revolution is also causing more inter-connectivity and better intelligence, in terms of better computing power and big data.

The revolution is thus causing mass anxiety about job security. At the same time, it is creating opportunities for those that are able to leverage new technology. For instance, a growing number of people are embracing the gig economy. This is where people rent out their services instead of working for a single employer. In fact, a recent study showed that by 2020, about 43% of Americans would be fully engaged in the gig economy.

The Problem GSTAR Seeks To Solve

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Many people could potentially benefit from the use of algorithmic trading. However, some problems are painfully obvious:

  • People that have no prior knowledge of programming but want to engage in algorithmic trading find it difficult to understand.
  • Experienced traders in their 40s and above will have a hard time turning their manual trading strategies to algorithmic trading if they have no programming experience.
  • Programmers, who have the skills to create algorithms, lack the trading experience to create a trading system.
  • Traders that are able to convert their trading skills into an algorithm find it hard to make a profit without selling their intellectual property to a large institution.

The GSTAR Automated AI Algorithmic Trading System Solution

The GSTAR solution is to create a platform that allows anyone to create and utilize trading algorithms even without prior programming or trading experience. In essence, they are bringing the trading algorithms to the masses. Their platform will be powered by the GSTAR tokens.

GSTAR Token ICO Details

Parameters Of The ICO

  • Token Ticker: GSTAR
  • Date: July 8, 2018 – August 8, 2018
  • Price: 1 ETH = 10,000 GSTAR Tokens
  • Soft Cap: 1 million USD
  • Hard Cap: 28 million USD

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