OptiToken Actively Examines The Distinctive Mechanisms

Introduction

The trading algorithm is a method of executing large orders (too large for inventory at once) using a pre-programmer way of calculating variables such as time, price, and automatic volumes, to send small order cuts - automatically called child orders - out to market from time to time develops so the offender does not need to be persistent and persistent Manually Popular "algos" absorbs Percentage, Pegged, VWAP, TWAP, Implementation Volume Shortfall or Target Close .

In recent years, algo trading has an appeal with institutional merchants. The popular platform for trading algorithms like MetaTrader, NinjaTrader, IQBroker, and Quantopian. Trade Algorithm business to generate trading profits. This is a way to attract cost, impact, and implementation. It is used by investment banks, pension funds, mutual funds and hedge funds because these institutional traders need markets that can not support all sizes at once.

The term is also used for automated automated systems, which have the purpose of generating profits. Also known as black box trading, this strategy relies heavily on complex mathematical formulas and high-speed computer programs. Such a system is a strategy of making, shipping among markets, arbitration, or pure speculation like the following trends. Many fall into the high-frequency category (HFT), which is full of high turnover and high order-to-trade ratios.

The HFT strategy uses computers to make complex decisions to initiate orders based on information received electronically, before human traffickers can process the information they observe. The Trade and HFT Algorithm has resulted in dramatic changes from the microstructure of the market, a problem in the way of liquidity.

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 was inadvertently sold to all previously purchased shares on Wednesday. Optitoken's theory of prevention of such an event is to divide an actively traded portfolio into smaller groups based on unsafe steps and different strategies. Some are left to human trafficking and rebalancing.

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 is a fundamental weakness 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 of this team is very common, and the pursuit of the trend is never ingenious in trading strategy. However, it may still be answered, what if you program to "sell the news?" The problem here is that every machine in this day and age is not sophisticated enough to weigh the importance or relevance of a particular title. Will frivolously try this game strategy upside down.

b) With little or no current regulation, headlines can be easily manipulated to be given concrete data to measure or take action. Not to mention the existence of social media accounts of propaganda and social automation. Automation is set to track increments in posting certain money tags such as "$ NMC" can be affected by one individual acting as much as possible, through the implementation of some fake accounts programmed to promote the word coin in some general way social media platforms.

OptiToken Solution

OptiToken actively examines the distinctive mechanisms of space and will eventually apply learning patterns and behaviors based on cryptocurrency metrics such as mining, transaction volume, hashing power movement, mempools and more. We believe that these fundamental figures tell a true sentiment story and can be followed up in a small trade to "squeeze a profit." We believe that this type of trading is best done with only a small portion of the portfolio to protect the value of risk, but still possible accumulated significant profits over time.

Token Details

Sales Period: Q2 2018

Token Type: ERC20, Ethereum Blockchain

Maximuim Supply: 280.000.000 OPTI

Available for Purchase: 196.000.000 OPTI

Hard Cap: 24.000.000 Euro

Soft Cap: 225.000 EuroNo new coin will be made or mined after ICO is finished, All remaining tokens will be destroyed.

Token Distribution

More details about token sales are not available right now. However, OptiToken plans to start promoting token sales starting in March.

Conclusion OptiToken

OptiToken is a unique cryptocurrency project that works like a cryptocurrency basket. You bought OptiToken to get a representative share of the funds. These funds are actively traded with an algorithm to maximize profits for investors.

Roadmap

November 2017
- Launch of testnet search benefits and data collection for use in final algorithms.
- Initial initial team assembled - including one developer, one business developer / project manager, one quant and legal teams.

December 2017
- Web site launch and initial press release and marketing strategy.
- Launch social media channels to start building communities.

January 2018
- Target and buy initial purchase.
- ANN launch, white paper to follow soon.
- Onboarding help and further developers.
- Further development of the BETA testing algorithm instills more value and fosters the initial portfolio.

Acquisition of advisory team.

Feb 2018
- The final draft white paper was released.
- Further advisory and team orientation.
- Further development of the algorithm and each user interface phase 1, wallet, etc.

March 2018
- Marketing Token sales and PR campaigns
- Start coding and implementation of the backend testing interface on the exchange

April 2018
- ITO: 90 days
- Start working on the algorithm

May 2018
- BETA launches on the stock (s), growing the portfolio immediately after 1 month of ICO. Portfolios will not be idle but go right to work after one month.
- Further work and optimize algorithm and security
- Launch the ALPHA interface in Exchange (s) and continue to drive token sales

June 2018
- Drive token sales last month and continue business development as well as the addition of both ITO sales for portfolio.

July 2018
- After the token-making event is completed, the distribution of tokens to ICO buyers.
- Begin purchase of token phase on exchange (s) for OptiToken purchase pressure with profit up to now and then addition of ICO remaining.

Summer 2018
- Creation and testing on each 2.0 user interface.
- Continuously grow find and improve algorithms, maybe start the integration of machine learning. Advanced
- Continue the growth-driven operation together by finding new ways to improve eg. Do we include pre-sale discounts because there will be the ability to buy minimums? This can be a very interesting strategy when the market is overbought.