Hello, all,
The project aims to create benefits from this ongoing trading chain and put it into the OptiToken market itself to provide constant sporadic price pressures. The purchased proof is then destroyed by sending it to an undeniable address to create an increasing scarcity in the token inventory and prohibit the token from reentering the ecosystem as 'selling pressure'. The remaining OptiTokens will increase
value every time this cycle occurs.
Diversity: Curated and diversified crypto portfolio expertly used for single jet fuel
Cryptocurrency by deflation. Opti will be traded on at least one major exchange.
Algorithmic trading: Exposure algorithms that consistently surpass Bitcoin. Developed by data crunching from the work of experienced traders. Will integrate machine learning.
Algorithm 24/7: Crypto does not stop and will not choose OptiToken. Constant, throughout the hour automatically trading to identify trends to support the currency.
Purchase pressure: In every auto-buying cycle, some of the profits created will be used to purchase.
OptiToken on the market so as to provide upward price pressure.
Strategic Scarcity: 100% of repurchased tokens will be sent to untrusted addresses that can be verified transparently. OptiToken will be the first project to use this strategy to increase the value for the adopters. This will be the first hyper-deflationary currency in history.
Transparency: The portfolio will be audited externally every year and necessary to maintain the integrity of OptiToken. All movements can be tracked and verified using blockchain.
Problems and Solutions
Problems with Automation
The main problem to date is the failure of strong and consistent security measures. For example in 2012
Knight Capital lost a total of $ 440 million dollars when its stock trading automation inadvertently sold all of the shares that had been bought a few days earlier.
Optitoken's theory of prevention of such events is to divide actively traded portfolios into smaller groups based on unsafe steps and different strategies. Some are left to be traded and balanced by humans. Furthermore, OptiToken seeks to create customized solutions by working with the exchange itself to implement secure backup and control measures.
Problem with Implementation of Machine Learning
The main idea that drives development is to apply machine learning based on social networking and media events. We believe this to be a fundamental flaw for several reasons.
a) The case is more often than not that an event in the "news" is too late to take part in a particular trend. In the experience the team is very common, and the pursuit trend has never been an ingenious trading strategy. However, there may still be an answer, what if you are programming to "sell the news?" The problem here is that any engine in today is not sophisticated enough to consider the importance or relevance of a particular title. It would be frivolous to try this game strategy in the opposite way.
b) With little or no current regulation, headlines can be easily manipulated to supply concrete data for measuring or taking action. Not to mention the presence of social media accounts propaganda and social automation. Automations that are set to track increases in certain cash tag posts like "$ NMC" may be affected by one person acting as much as, through the implementation of some fake accounts programmed to promote the word coin in a common way on social media platforms
OptiToken Solution
OptiToken actively examines the typical mechanisms for space and will ultimately apply learning patterns and behaviors based on cryptococcal metrics such as mining, transaction volume, hashing force movement, mempools and more. We believe that this fundamental number tells the true story of sentiment and can be followed up in a small trade to "squeeze a profit." We believe this
The type of trading is best when it is done with only a small portion of the portfolio to hedge against its inherent risk, but still allows the accumulation of significant profits over time.
Token
OptiToken ($ OPTI) is the ERC20 ethereum token, which derives its value from the underlying portfolio and price support created through careful buying pressure driven by Opti Token purchases directly on listed exchanges with profits from the trading portfolio. Retrieved tokens are destroyed all tokens purchased this immediately then create scarcity. The basket trade is based on simple algorithms designed to buy low and sell high, and use the Euro as a fiat
instruments for stability when no purchase target is available at the same time. The tokens in the basket are selected by founders and teams based on experimentation and success for months produces the benefits of a similar but more primitive strategy.
The tokens in the cart are not limited to the market capitalization filter. The formula has been refined and will continue to be optimized as it moves forward. Picks
Opti will focus on tokens with strong communities, sufficient volume, strong marketing presence, strategic partnerships and active open source development in their respective source code. Unique coins that may be deemed to have a fair or undervalued market capitalization are also part of the strategy and in special cases Opti Token may attempt to merge, in small quantities, cryptocurrencies or unregistered investments in Bitfinex. All tokens in the cart must have concrete and active developments.
Part of the profit, 16% to start, made when selling or exchanging tokens when completing the cycle will be used to purchase OptiToken on exchanges that are in the same section, giving it up
Cycle price pressure will consist of a coin that meets certain criteria and than sold to the next coin that meets the purchasing criteria, assuming both have a pair. Otherwise, the trade balance needs to be converted into bitcoin or ether to be exchanged for an optimal crypto that meets the purchasing criteria. If no token satisfies the purchase criteria, some will be sold into fiat, especially the Euro, to stabilize and lock in profits.
Along with before, the profit balance of each successful cycle will be divided in the following ways:
- 82% will head to rebuying the next targeted oversold coin in the basket to increase the value of the portfolio.
- 16% will head towards buying Opti coins to create upward pressure on prices.
- 2% will lead to operational costs.
Roadmap
November 2017
- Launch testnet tracking profits and data collection for use in final algorithms.
- The initial startup team gathered - including one dev, one business developer / project manager, one quant
and legal teams.
December 2017
- Launch of website and initial press release and marketing strategy.
- Launch social media channels to start building communities.
January 2018
- Initial purchase targeting and acquisition.
- Launch ANN, white paper to follow soon.
- Onboarding further help and developers.
- The development of BETA algorithm further inculcates more value and improves the initial portfolio.
Acquisition of advisory team.
-Feb 2018
- Final draft of white paper is released.
- Adviser and team further.
- Further development of algorithms and user interface of any phase 1, wallet etc.
March 2018
- Promotion of Token sales and PR campaigns
- Start coding and implementation of backend exchange test interchange
April 2018
- THIS: 90 days
- Start working on the algorithm
May 2018
- Launch BETA by exchange (s), grow portfolio immediately after 1 month ICO. The portfolio will not sit still but instead work immediately after a month.
- Further work and optimization of algorithms and security
- Launch the ALPHA interface in Exchange (s) and keep the push sales token
June 2018
- Last month boosted token sales and continued business development and addition of both ITO sales
to the portfolio
July 2018
- After the token-making event is complete, the distribution of tokens to ICO buyers.
- Begin token tokens purchased on the exchange to buy OptiToken pressure with profit to date and then addition of ICO remaining.
Summer 2018
- Creation and testing on every 2.0 user interface.
- Continue to grow searching and improving algorithms, perhaps starting the integration of machine learning. Advanced
- Continue growth-driven operations as we look for new ways to improve for example do we incorporate pre-sale discounts because there will be the ability to buy minimums? This can be a very attractive strategy when the market is overbought.
For more information:
Authors: Dhevi
My Profile Bitcointalk : https://bitcointalk.org/index.php?action=profile;u=1567105
My ETH: 0xA7Da3eDaa862830D59a81d35EE50DAD9A11Ec500
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