The State of the CryptoTrading Industry in 2017 - How Do We Exploit Volatility?

in #cryptocurrency7 years ago (edited)

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Market cap of crypto-assets are booming over $165 billion adding more opportunities in the 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 crypto markets are largely shunned by established trading houses leaving the field open for dynamic young companies to take advantage of the opportunities in the markets.

The rise of ICO culture as a means to launch projects has quickly gained popularity. We see teams launching ICOs every other day for every other idea attempting to capitalize on this ever-growing culture of tokensales progressively adding more and more crypto-assets to the market. It’s not surprising to see governments and organizations attempting to ban this unregulated, incomprehensible ICO culture. Chinese authorities have gone so far as to shut down bitcoin exchanges.
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Market Overview:

High market volatility and a multitude of cryptocurrencies present an opportunity to obtain returns like never before in the trading arena. But it's almost impossible to safely trade and obtain stable returns, it's impossible to make the right choices and exploit market volatility. Cryptocurrency trading involves many risks, one of which is making the wrong decision. Wrong decisions are mostly coming out of human emotions.

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AI-Trading & Wall Street:

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.

AI-Trading & Crypto:

Cryptocurrencies are obviously a natural fit for automated trading; the market volatility can be hugely profitable using AI-based trading. With market capitalization ballooning (cryptocurrency market capitalization has grown from $8.8bn to $80.6bn in the past year with no signs of a slowdown), the time is right for a dispassionate, selflearning trading engine to take advantage of an environment where less professional and less disciplined traders create many profit opportunities. An AI trading robot, built on machine learning algorithm, is devoid of those human weaknesses, such as, impatience, fear, greed, and latency. The ability to execute millions of trades per day based on the machine-learned intelligence of the cryptocurrency market, without the hindrances of human emotions, boosts the ability of the robot to quickly turn around profits from each trade. Although, such high-frequency trading (HFT) makes tiny bit of profit on each individual trade, but done thousands of times a day it accumulates above average return to the investor.

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AI Trading Platform: Autonio

Autonio is an AI-powered trading robot 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. Trading bots or algorithmic trading is a technique that uses pre-programmed software that analyzes market actions, such as time, price, orders, and volume.

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NIO Trading Championship

Autonio platform publishes an Official NIO Trading Championship Leaderboard that dynamically lists the top trading strategies to drive competition among users.
To showcase this platform feature Autonio & AlgoShare are setting up the competition on Oct 2nd. More will be announced regarding the competition. Visit NioKing to know more

Backtesting results of Autonio trading prototype as submitted (On Telegram ) by users have been exceptional.
Join Telegram, follow on Twitter and stay updated!

Backtesting Results:
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