Introduction
The trading algorithm is a method of executing large orders (too large for inventory at once) using automated the way pre-programmers calculate variables such as time, price, and volume, to sendsmall order pieces - automatically called child orders - out to market from time to time develops so the perpetrators do not need to be constantly and constantly Manually Popular "algos" absorbed Percentage Volume, Pegged, VWAP, TWAP, Implementation Shortfall or Target Close. In the past years, algo trading has a fascination with both institutional traders The popular platform for trading algorithmikatas MetaTrader, NinjaTrader, IQBroker and Quantopian. Trading Algorithm of business to make trading profit. This is a way to attract fees, impact and implementation. It is used by investment banks, pension funds, mutual funds and hedge funds because these institutional traders need to a market that can not support all sizes at once. The term is also used for automated automated systems, which has the purpose of generating profit. Also known as black box trading, this strategy is highly dependent on Complex mathematical formulas and high-speed computer programs. Such systems are the strategy of manufacture, delivery among markets, arbitrage, 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 utilizes the computer made a complicated decision to start an order based on the information received Electronically, before human traders are able to process the information they observe. Trade Algorithms and HFT have resulted in dramatic changes from market microstructures, problems 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 accidentally sold to all shares that had been bought earlier on Wednesday. Optitoken's theory of prevention of such events is to divide actively traded portfolios into smaller groups based on various fail-safe measures and different strategies. Partially handed over to human trade and rebalancing.
Problem with Implementation of Machine Learning
The main idea that drives development is to apply machine learning based on social networks 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 of this team is very common, and the pursuit of the trend has never been shrewd 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 on a reverse.
b) With little or no current regulation, headlines can be easily manipulated to be supplied
concrete data to measure or take action. Not to mention the presence of social propaganda
media accounts and social automation. Automation is set to track increments in post a
Certain cash tags such as "$ NMC" can be affected by one individual who acts as much,
through the implementation of some fake accounts that are programmed to promote the word coin in some the public way on the social media platform.
OptiToken's Solutions
Optitoken is actively researching mechanisms peculiar to the space and will eventually implement learning patterns and behavior based on cryptocurrency metrics such as mining, transaction volume, hashing power movements, mempools and more. We believe these fundamental numbers tell the story of true sentiment and can be acted upon in small sized trades to "squeeze profit." We believe that this type of trading is best when done only with a small portion of portfolio as to hedge against its inherent risk, yet still allows accumulation of significant profit over tim.Token Details
Sale Period: Q2 2018Token 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 created or mined after ICO is over, All unsold tokens remaining will be destroyed.
Token Distribution
- Public sale: 70%
- Team: 14%
- Future development and Talent: 4%
- Investors: 2.5%
- Bounty and Airdrop: 5%
- Advisors: 2.5%
- Legal: 1%
- Security: 1%
Roadmap
November 2017
- Launch of testnet tracking gains and gathering data for use in the final algorithm.- Initial starting team assembled - including one dev, one business developer/project manager, one quantand legal team.
December 2017
- Launch of website and initial press releases and marketing strategies.- Launch of social media channels to start building a community.
January 2018
- Targeting and acquisition of initial purchases.- Launch of ANN, white-paper to follow soon.
- Onboarding of further help and developers.
- Further development of BETA testing algorithm infusing more value and growing initial portfolio.
Acquisition of advisor team.
Feb 2018
- Final draft white paper released.- Further onboarding of advisors and team.
- Further development on algorithm and any user interfaces phase 1, wallet etc.
March 2018
- Token sale marketing and PR campaign- Begin coding and implementation of backend testing interface on exchange
April 2018
- ITO: 90 days- Start work on algorithm
May 2018
- BETA launch on exchange(s), growing the portfolio right away after 1 month of ICO. Portfolio willnot sit idle but instead go right to work after a month.
- Further work and optimizing of algorithm and security
- ALPHA interface launch on Exchange(s) and continued token sale push 9
June 2018
- Last month push of token sale and continued business development and second addition of ITO salesto portfolio.
July 2018
- After the token creation event is finished, distribution of tokens to ICO buyers.- Begin the purchasing of tokens phase on exchange(s) for buy pressure of OptiToken with profits to
date and then the addition of remaining ICO.
Summer 2018
- Creation and testing on any 2.0 user interfaces.- Continue to grow find and improve algorithm, possibly starting an integration of machine learning.
Onward
- Continue growth driven operations along with searching for new ways to improve e.g. do weincorporate pre-sale discounts since there will be ability to buy the minimums? This can be very
interesting strategy in times of an overbought market.
For More Information Contact
Website:https://optitoken.io//WhitePaper: https://optitoken.io/White_paper.pdf
ANN Thread: https://bitcointalk.org/index.php?topic=2974794.0
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Eth Address : 0x25301592D754301cCb878707Be589a8D7c820FA8
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