Swarm Intelligence is the new of a brand new binary options robot whose founder and creator PhD. Steven Frances claims that it has an 83% ITM thanks to the sophisticated scientific methods it has embedded into its programming algorithm.

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To be more precise, it supposedly has 10 different coding types which are directly linked to 9 computers, all interconnected to a main supercomputer mainframe. The operational process of the auto-pilot investment system is based on the swarm intelligence principle and the so-called Superfecta theory.

This information sound very promising, but there is close to no data verifying the statements issued by Mr. Frances and Head Programmer Thomas Porter. Swarm Intelligence Software System is still fresh on the Internet market and has time to prove its capacity to generate good profits.

Until this occurs, however, we are unable to classify the income-generating solution as legit. There is a very high likelihood of it being dubious and a probable scam. It is best for users to Proceed to Safe Binary Robot OR Pick a Trusted Robot from the list below.

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Basic information:

  • Price: Free Sign Up
  • Software: Superfecta-Based System
  • Max Returns: 83%
  • Min Deposit: $250

Pros:

  • Solid Algorithm Concept
  • Web-Based

Cons:

  • Fake User Testimonials
  • Not Proven to Work
  • Creator Identity Not Verified
  • No User Feedback
  • Unreliable Customer Support

Top10BinaryDemo Verdict

Not Reliable Service

What is Swarm Intelligence Software System?

Alleged founder PhD. Steven Frances states that he has studied Animal Behavior extensively for the past 15 years. The main focus of his professional career was the adaptive significance of personal demeanor in a particular environment and how this can be applied for the conduct of risk-free trading and the generation of accurate binary options signals.

He was a moderator at a successful firm that indulged in financial analysis and market predictions. His most accomplished work was that carried out for the Academy Awards winners forecasting. Frances got in touch with a Silicon Valley company that dealt with problems concerning the improvement of human intelligence and expanding it beyond the ability of individuals.

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This is how he got in touch with CEO of the Unanimous AI firm – Dr. Louis Rosenberg and the future Head Programmer of SwarmIntelligence System – Thomas Porter, who is a former employee at IBM. They carried out a study in which a group of people have to guess which horses in one exact race would finish at the Win, Place, Show and Fourth positions.

The results were successful and they decided to establish an online trading venture, later named SwarmIntelligenceSoftwareSystem.

How Does SwarmIntelligence System Work?

Swarm Tech Auto Trader, as it is also known, appears to have quite the complicated operational process, or at least this is what PhD. Steven Frances. It is so sophisticated that it is hard to comprehend and actually believe that its design is exactly as described.

The programming algorithm was supposedly finished after 3 years of research and development. In this process were analyzed numerous trading strategies, indicators, patterns and scientific principles. It is loosely based on the Swarm Intelligence[1] theory which suggests that people tend to make better and more accurate judgments when having to make decisions in groups.

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Mr. Frances claims that the system has an average payout of 83% and one can expect at least $1,000 a week when trading with a sum of $25 and $2,100 when investing $50. Even though this monetary amount is realistic, the estimated profitability rate is way below the normal expected for the sphere.

A fine example of a legit binary options robot which generates considerable earnings is QBITS MegaProfit System – one of 2016’s top rated systems. Created by Jeremy Hart, it has a success rate of 97.5% and can generate about $3,000 per day even to complete novices.

Interesting Fact:

SwarmTechAutoTrader System supposedly also applies the Superfecta[2] method. It is a strategy applied in horse race outcome predictions, in which one has to forecast not only the first position, but the four end ones.

Is Swarm Intelligence Software a Scam or Legit?

The concept on which this binary options system was based appears to be solid, but there is no proof that Swarm Intelligence Software actually works properly. Our investigation into alleged founder PhD Steven Frances was unable to verify that he is an actual person.

Online users better opt for a proven to be legit and trustworthy automated trading robot, because the present one might turn out to be a scam. It is not safe to invest with it for the present moment.

Final Thoughts

Swarm Intelligence still has sufficient time to prove its capacity to generate solid monetary earnings. Until this happens, we advise all Internet traders to turn to a secure and reliable system. The scarce amount of data about Swarm Tech Auto Traders suggests that it might not be genuine and the personalities of its founders might be fabricated.

Conclusion:

t10demo_high_risk_stampOur investigation team conducted a comprehensive investigation on Swarm Intelligence to find out if this product is genuine. As a result we cannot say that there was enough evidence indicating if Swarm Intelligence 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:

1. Swarm Intelligence in Optimization (Christian Blum & Xiaodong Li, Natural Computing Science Journal, 2008, pp. 43-85)

2. The role of context, code, and caption in the analysis of creative behavior (Ronald N. MacGregor, Interchange Magazine, March 1985, Volume 16, Issue 1, pp 85–93)

3. An Anatomy of Trading Strategies (Jennifer Conrad & Gautam Kaul, Review of Financial Studies, Issue 11 1998, pp.489-519)

4. The price dynamics of common trading strategies (J. Doyne Farmera & Shareen Joshib, Journal of Economic Behavior & Organization, Volume 49, Issue 2, October 2002, Pp. 149–171)

5. Forward markets, currency option and the hedging of foreign exchange risk (Roger Ware, Ralph Winter, 1988)

6. Does laboratory trading mirror behavior in real world markets? Fair bargaining and competitive bidding on eBay (Gary E. Bolton & Axel Ockenfels – Journal of Economic Behavior & Organization, Volume 97, January 2014)

7. The impact of short sale restrictions on informed trading in the stock and options markets (Zurbrueggb, Ralf; Le, Van; 2016)

8. The dependence between hourly prices and trading volume (Prem C. Jain, Gun-Ho Joh, – The Journal of Financial and Quantitative Analysis, 1988)

9. System and method for analyzing financial market data (Ari Pine, Arthur L. Shmurun, 2000)

10. What do stock splits really signal? (David L. Ikenberry, Graeme Rankine – The Journal of Financial and Quantitative Analysis, 1996)