Creators of binary options scam systems will claim that their product is based on various innovative technological developments in order to draw in more users. One such software is called Algo Trading Robot, supposedly created by scientist and investor Stanley Nash. We have performed our very own exclusive inquiry into it to determine whether it is scam or legit.

Oracle ATB Robot is an auto-trading system based on Edward Thorpe’s economic principles. It can allegedly generate about $2,600 per day and make traders instantly wealthy, but this is highly unlikely as there are close to no robots that can actually do this.

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Basic information:

  • Price: Free for a Limited Time; $2,997 Afterwards
  • Software: Algo-Trading Automated System
  • Max Returns: 88.7%
  • Min Deposit: $250

Pros:

  • Fully Automated
  • Browser-Based

Cons:

  • Requires Internet Connection
  • Fake Creator
  • Shady Broker Connections
  • No Proven Success
  • No Unique Features

Top10BinaryDemo Verdict

Not Reliable Service

What is AlgoTradingRobot Software?

This binary trading system supposedly applies quantitative analysis on the base of which it places investments automatically on behalf of the user. It was created by a person called Stanley Nash who developed its pattern recognition algorithm. The said has supposedly dedicated most of his life to scientific research, turning to finance later in life when he had already acquired academic knowledge.

He was inspired by Edward Thorpe and his practice of selling a particular asset high and then buying it low back again when the market conditions were just right. Stanley Nash founded his company Oracle Investments in 2004 and by 2011 it allegedly already had a 2,378% ROI.

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The above data appears to be very impressive, but the review research we performed proves that there is no firm registered under this name which makes the whole AlgoTradingRobot System dubious and a probable scam.

Interesting Fact:

Edward Thorpe is an American-born mathematician who later in life managed to achieve financial success on the stock market using his statistical and analytical skills. Many binary automated robots apply his theories into their trading algorithms in order to provide users with reliable signals and a solid success rate.

How Does Oracle ATB Robot Work?

This binary options trading system supposedly implements a sophisticated computer code based on the Number Theory. One which could supposedly get a hold of market data several miliseconds before the big financial institutions.

It can then process and analyze it within a virtual blink of an eye and send accurate signals to the investor. Users can choose between automated and manual mode, even though our general advise to them would be to refer from signing up with AlgoTradingRobot Software for the time being.

Is OracleATBRobot Reliable or Scam?

We were able to come across some facts suggesting that it is most likely a scam. Of course, more users’ feedback needs to come out in order for us to state this with absolute certainty, but the likelihood of this is very high.

First of all, the creator is not a real person who has graduated from a prominent university. There is no real-life investor going by the name of Stanley Nash. There are also no articles in respected magazines about him as is stated in the promotional video.

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Second, online traders have not been very satisfied with the way this binary options system works. Orion ATB Robot is not capable of achieving the promised success rate of 88.7%. This makes it an unreliable income-generating solution.

Because of all these contradictions, we advise all our users to avoid using this binary options automated solutions and open an account with a proven to be legit and trustworthy one.

Final Thoughts on AlgoTradingRobot

From the small amount of available information on this binary automated system, we can safely assume that it is a likely scam. We can not concretely prove this for now because it is still new on the web-based market. However, users should be quite weary of AlgoTradingRobot. Its creator Stanley Nash and his team of experts are not actual people. Their background stories are completely fabricated.

It would be best for online traders to stay away from it and turn to a more safe and secure profit amplifying solution. There are better ones than Oracle ATB Robot available on the Internet.

Conclusion:

t10demo_high_risk_stampOur investigation team conducted a comprehensive investigation on AlgoTradingBot to find out if this product is genuine. As a result we cannot say that there was enough evidence indicating if AlgoTradingBot is generating high profits. We found many reasons that made us suspicious about this robot being a scam.

 

In order to protect traders from bad trading experience and financial loses we recommend you to

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David

David

Hello!
I am David Raines, a Binary Options trader with years of experience in online trading. I write reviews of Binary Options Brokers, Auto Trading Software and Signals Providers.
David

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References & Further Reading:

1. Electronic trading and its implications for financial systems (Setsuya Sato, Helen Allen – Challenges for Financial Markets, Business Strategies and Policy Makers, 2002)

2. Markets for risk trading (Edwin H. Neave – Financial Systems, 1998)

3. Alternative trading systems and liquidity (Hans Degryse, Mark Van Achter – Technology and Finance, 2002)

4. High-water marks and hedge fund management contracts (William N. Goetzmann, Stephen A. Ross, 2001)

5. Risk management with benchmarking (Suleyman Basak, Alex Shapiro, 2005)

6. A profitable trading and risk management strategy despite transaction cost (Ahment Duran – Quantutative Finance, 2008)

7. Trade, environment and economic development: A dynamic relationship in East Asia (Jingjing Zhang, 2014)

8. A high return on investment: Investment connection in the Tenth District (Ariel Cismeros, 2016)

9. Option pricing with economic feasibility (Yi-Jang Yu, Modern Economy, 2013)

10. Option pricing when changes of the underlying asset prices are restricted (George J. Jiang, Lei Shi – Journal of Mathematical Finance, 2011)