Token: NIO

Decentralized AI trading system

ICO dates
Start date: 2017-09-22
End date: 2017-10-22

Registrated in: Undefined

Platform: Ethereum
Type: ERC20



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Autonio categories
Business services
Autonio whitepaper
Autonio token sale
KYC passing required No | Whitelist No | Restriction for countries No
Hard cap 10,000,000 USD
Tokens for sale 179,200,000
Token distribution in ICO
Acceppting ETH
Autonio news, social
Autonio search trends in Google
Random whitepaper excerpts

According to a recent JP Morgan report 90% of all Wall Street trading volume is attributed to
automated HFT and Index Funds.
Advanced learning algorithms have largely been the domain
of trading banks and hedge funds that use AI as part of a larger strategy that employs a variety of
trading tactics. Their types of models react to split second changes in relationships between
different markets. The spoils go to the banks with the fastest models and the fastest execution
that can take advantage of short term transient market inefficiencies. Because the markets traded
are mature, the movements are usually minute, with huge transactions that drive correspondingly
high profits.
On the other hand, cryptocurrencies are the brave new world of trading. The markets are
relatively young and still very inefficient. It is not unusual to see bitcoins move 10% in a single
day. In addition, due to size and potential regulatory conflicts, the cryptocurrency markets are
largely shunned b...

AUTONIO Business Model & Features
The efficacy of AI has already been proven. We now have AI being used in a range of supportive
technologies from security to medical research, natural disaster prediction and agriculture. Deep
learning models are utilized to predict consumer behavior, traffic flow in urban centers, and
Google’s AI AlphaGo bested World Go champion Lee Sedol in four out of five matches last
year, a feat that until very recently was considered impossible.
AUTONIO is the first decentralized AI-powered trading robots that deploys years of knowledge
gained from Wall Street’s automated high frequency trading (HFT) industry making use of
market indicators to analyze cryptocurrency trends in order to generate buy/sell signals and
execute trades. Mimicking strategies honed by some of the biggest players on Wall Street,
AUTONIO believes cryptocurrencies are a new class of assets ripe for conquering with
intelligent machine learning algorithms and neural networks.
Trading bots or algor...

, its easy-to-use GUI does not need any coding or trading experience.
, it automatically combines multiple indicators into a single clear buy/sell signal and
executes the trades in as high frequency as the user decides. To make its high speed buy / sell
decisions, Autonio currently integrates 5 indicators that include EMA, MACD, RSI, Bollinger
Bands, Ultimate Oscillator, which are subsequently discussed. 25 more indicators are currently
under development and will be integrated subsequent to ICO funding.
, the users can personalize and optimize their trading strategies by combining the trading
indicators to maximize their returns. Basically users can design their own investment /
divestment strategies and let AUTONIO do the rest on their behalf.
, the AUTONIO platform allows users to back test each of their alternative strategies
and chose the one with highest returns.
, the Autonio platform
publishes an Official NIO

In a nutshell AUTONIO aims to bring together the crypto trading community, connecting experts
to newbie users, and allowing people from diverse backgrounds to share their expertise and let
the community as a whole benefit from crypto market volatility. Users not only compete with
each other on the basis of the most rewarding trading strategies that hits the top of the
leaderboard, but they benefit from the strategies of the top traders thereby making trading further
more exciting and rewarding.
Furthermore, as noted by an algorithm-
trading expert, robot trading is not a “fire
missile. You can’t just let it run by itself for extended period
s. When fully developed AUTONIO
aims to breaks that barrier.
AUTONIO Prototype & Trading Indicators
Artificial intelligence has proven its power and advantage at recognizing general trends, in
trading traditional stocks and other time-series analysis tasks. Inspired by this, we focus on
creating an artificial i...

AUTONIO to top the NIO Champions Leaderboard and win tokens. On one hand this will give
the investors an opportunity to get a feel of AUTONIO platform, and on the other hand it will
provide a valuable input for improving the platform.
1. Exponential Moving Average (EMA) Crossovers
An exponential moving average (EMA) is a type of moving average that is similar to a simple
moving average, except that more weight is given to the latest data. It's also known as the
exponentially weighted moving average. This type of moving average reacts faster to recent
price changes than a simple moving average.
The EMA indicator is popular amongst the Forex traders for its visual simplicity. Traders can
quickly assess the prevailing trend of price behavior from the direction of the EMA. The key
points of reference are when the EMA crosses over the pricing candlesticks or another EMA. If
prices are going up and a crossover occurs, that is viewed as a “Buy” signal, and vice

2. Relative Strength Index (RSI)
The relative strength index (RSI) is a momentum indicator developed by noted technical analyst
Welles Wilder that compares the magnitude of recent gains and losses over a specified time
period to measure speed and change of price movements of a security. It is primarily used to
attempt to identify overbought or oversold conditions in the trading of an asset.
3. Moving average convergence divergence (MACD)
Moving average convergence divergence (MACD) is a trend-following momentum indicator
that shows the relationship between two moving averages of prices. The MACD is calculated by
subtracting the 26-day exponential moving average (EMA) from the 12-day EMA. A nine-day
EMA of the MACD, called the 'signal line', is then plotted on top of the MACD, functioning as
a trigger for buy and sell signals.

4. Bollinger Bands
Developed by famous stock trader John Bollinger, Bollinger Band is plotted two standard
deviations away from a simple moving average.
Bollinger Bands are a highly popular technical analysis technique. Many traders believe the
closer the prices move to the upper band, the more overbought the market, and the closer the
prices move to the lower band, the more oversold the market. AUTONIO’s AI engine follows
linger’s 22 rules for its trading decision
Ultimate Oscillator
It is a technical indicator invented by Larry Williams that uses the weighted average of three
different time periods to reduce the volatility and false transaction signals that are associated
with many other indicators that mainly rely on a single time period.

User can use single indicator or combination of indicators that emit signals based on user input in
an easy to use GUI to device the best AI trading strategies.
Tokens & Coin Distribution
Our tokens will be of a standardized ERC20 form, so they can easily be integrated or displayable
for any other party who wishes to do so. All of this code will be publicly available in our
repositories and can be audited by anyone who wishes to do so.
When the NIO Token sale completes successfully, the NIO Tokens will be enabled for transfer
among the members instantly. Tokens can be pre-purchased through the ICO site, or earned
through a series of bonus / bounty / referral programs or via the AUTONIO platform. The funds
become available to AUTONIO under the milestones described under 'Project Funds Release'.
To promote trust in the AUTONIO project and to execute a successful Token sale we have
established an escrow arrangement using
Multisig wallet. NIO tokens will be

Autonio Roadmap

Tokensale announcement
Tokensale / Token distribution and exchange listing
Autonio First phase application release
Complete AI trading begins
Quant development begins
Ali Raheman
Ali Raheman Project Manager

Parth Darji
Parth Darji Head of Technology

Michael Morton
Michael Morton Chief Financial Officer

Mohideen Zakaria
Mohideen Zakaria Head of Analytics

Shura Vasina
Shura Vasina Head of Designing

Adlin Ho
Adlin Ho Head of Communications

Ismail Malik
Advisors Ismail Malik BlockchainLab Founder

Andrew Wagner
Advisors Andrew Wagner Director of Public Relations for the Bitcoin Cooperative

James Drake
Advisors James Drake CEO of Embermine

Rishi Raj Singh
Advisors Rishi Raj Singh Lawyer for legal consultation

James Drake
James Drake
CEO of Embermine
Co-Founder and CEO
Ismail Malik
Ismail Malik
BlockchainLab Founder
Britain Co-founder
Blockchain R&D and ICO Advisor
Blockchain R&D + ICO Strategist
Blockchain R&D, ICO Strategist BlockchainLab
Editor In Chief ICO Crowd
ICO Marketing Advisor
Marketing & PR Adviser
Marketing Advisor
Blockchain and media advisor
Blockchain Advisor
CEO of Blockchain
Crypto media: ICO Crowd London, United Kingdom
Michael Morton
Michael Morton
Chief Financial Officer
Founder & CEO, GNEISS