OptiToken The First Algorithmically Exchanged Hyperdefiatory Crypto...

OptiToken The First Algorithmically Exchanged Hyperdefiatory Crypto... | Ecency

OptiToken is a hyperdefiatory cryptomoney, backed by an automated tokenized portfolio that uses professional trading techniques and economic strategies to optimize symbolic value, such as strategic buying pressure and supply shortages. The project was launched in November 2017.

Characteristics

Diversity

A cleverly crafted and diversified portfolio of cryptomaterials with a single token. Optitoken will be marketed in all major exchanges.

Algorithmic Trade

Exposure to an algorithm that has overcome the 24/7 bitcoin trade consists of. Developed by analyzing data from the work of experienced traders. Allows progressive integration of automatic learning.

Buy Pressure

In each purchase cycle, a portion of the profits created will be used to purchase OptiToken in the marketplace, which will provide upward pressure on prices and create value for the users who adopt it.

Strategic Scarcity

A portion of the re-purchased tokens will be sent to an unreliable address that can be verified transparently. We are the first project to use this strategy to positively influence prices through deflation.

Objectives

The aim of the project is to generate profits from this continuous series of exchanges and infuse them into the Opti Token market(s) to provide a constant and sporadic upward price pressure. Purchased tokens are then destroyed by sending them to an unreliable address to create a growing shortage in the supply of tokens and do not allow the tokens to re-enter the ecosystem as'selling pressure'. The remaining Opti Token will gain value each time this cycle occurs.

Problem

Lack of security measures

These types of systems are operated through the commands of a set of commands inserted into the system each time the market hits a predefined level system. For example, in 2012 Knight Capital lost a total of $440 million when its automated stock trading was accidentally sold. all the shares he had bought the previous Wednesday.

Solution

The solution to this problem of the Opti Token team is to divide the actively marketed portfolio into smaller groups according to different security measures and also different strategies. A portion left for human trade and rebalancing. In addition, OptiToken seeks to create customized solutions by working with the exchange itself to implement fail-safe security measures and controls.

Problem

With the implementation of automatic learning.

The main idea that stimulates development is to implement automatic learning based on social networks and media events. We believe this is a fundamental flaw for several reasons. The fact is that, once an event is in the "news", it is too late to participate in a particular trend. In the team's experience, this is very common, and following trends is never a clever business strategy. However, one can still answer, what if he programmed to "sell the news"? The problem here is that any machine in this day and age is not sophisticated enough to weigh the importance or relevance of a particular headline. It would be unwise to try to play this strategy the other way round.

Solution

OptiToken is actively investigating the peculiar mechanisms of space and will eventually implement learning and behavior patterns based on cryptomarket metrics such as mining, transaction volume, hashing power movements, mempools and more. We believe that these fundamental numbers tell the story of true sentiment and that you can act in small shops to "squeeze the profits". We believe that this type of trading is best done with only a small portion of a portfolio to protect against its inherent risk, but still allows for the accumulation of significant gains over time.