CRYPTTO
| CRYPTTO | |
|---|---|
 CRYPTTO ICO Review | |
| CRYPTTO ICO | |
| Ticker: | TTO |
| ICO start: | 2018-10-30 00:00:00 |
| ICO end: | 2018-11-30 00:00:00 |
| Tokens: | 70000000 |
| Tokentype: | ERC20 |
| Hardcap: | 25,000,000 USD |
| Softcap: | 5,000,000 USD |
| Raised: | 0 |
| Platform: | Ethereum |
| Distributed: | 70 % |
| Minimum: | 50 USD |
| Accepting: | ETH |
We are creating a world-class high-frequency crypto trading platform that provides:
1) Fully-automated trading strategies that make money in your crypto exchange account regardless of the market direction.
2) Intelligent and ultra-fast execution algorithms that dramatically reduce your cost of trading.
3) Proprietary trading signals based on market data statistical analysis, on-chain activity, news and social media sentiment analysis.
Team CRYPTTO is the team behind ATTO Trading Technologies – a high-frequency quantitative trading firm developing proprietary algorithms based on market data and sentiment analysis.
We have been successfully trading the most competitive traditional asset classes (equities, futures, options) for over 10 years.
We will deliver on time.
Our product will be profitable, fast and reliable.
Our track record testifies to that.
Contents
Description
CRYPTTO Quantitative Trading Platform will provide:
1 ) Fully-automated trading strategies that make money in your crypto exchange account regardless of the market direction
first batch of strategies is based on statistical arbitrage models that do not make predictions of the market direction. They are uncorrelated to the market: market moving up does not increase their profitability, but more importantly – market moving down does not make them less profitable
arbitrage strategies make a lot of small trades, which are profitable more than 50% of the time, and let the laws of statistics work its magic: with the sufficiently large number of trades the «over 50%» individual trade winning percentage translates into the daily and weekly strategy winning percentage approaching 99.9%.
(You don’t have to take our word for it – just ask your friend who is good at statistics or simply google it)
Profitability of our arbitrage strategies generally increases when the volatility increases – and the crypto markets proved to be really fertile ground for volatility
The second batch of our strategies is event-driven and relies on natural language processing algorithms analyzing news and social media sentiment
strategies trade using the funds in your exchange accounts through APaccess. You never deposit anything to our platform
will be supporting all major exchanges – more accounts on more exchanges means more profit opportunities for you
The best part about our strategies – they work!
2) Intelligent and ultra-fast execution algorithms that dramatically reduce your cost of trading
Execution can define the difference between the profitable and unprofitable trading strategy and cost (or make) you a lot. The more you trade, the more important it becomes
The «usual cure» – VWAP (volume-weighted average price) and TWAP (time-weighted average price) execution algorithms are certainly better than nothing, but they are predictable and, consequently, gameable
execution algorithms aim to get orders filled by providing liquidity (akin to the market-making strategies) with the help of machine learning. The result: we save you up to 50% of the spread and the difference between the taker and the maker fees (or even earn you a maker rebate on some exchanges). It adds up. To a lot
The best part about our execution algorithms? You guessed it – they work! employ them in our traditional markets strategies for millions and millions of trades, and we constantly keep honing them to keep up with the market changes
3) Proprietary trading signals based on market data statistical analysis, on-chain activity, news and social media sentiment analysis
research is extensively based on rigorous statistical analysis, natural language processing (NLP) algorithms, machine learning (ML) and deep learning (DL) technics combined with the proprietary coding algorithms
All our signals are extensively back-tested and out-of-sample validated
You can choose between manual, semi-automated, and fully automated trading of our signals. low-latency execution dramatically reduces slippage.
Review
| “ | October 2017: Data analysis and research on crypto markets started. January 2018: Test trading in crypto markets utilizing Atto Trading Technologies platform started. February 2018: Based on successful test trading results, CRYPTTO strategy and value proposition defined, platform development started March 2018: CRYPTTO.IO launched, strategic partners negotiations started. May 2018: Alpha version of the platform ready. 2 strategies profitably trading on 3 major exchanges October 2018: Beta version of the platform. 3 fully-automated strategies developed. First third-party users (pre-sale participants) onboarded December 2018: Platform public launch. Fully-automated strategies and intelligent execution algorithms on exchanges with at least 50% of the total trading volume Q1 2019: Market data analysis-based trading signals for semi-automated and manual trading added Q2 2019: News and social media sentiment analysis-based signals added H1 2019: On-chain activity analysis-based signals added[1] | ” |
Team
| name: | title: | links: | group: | photo: | iss: |
|---|---|---|---|---|---|
| Craig Robertson | Trading and technology | https://www.linkedin.com/in/crobertsonus/ | Advisors |  | 3.3 |
| Marina Chernyshevich | NLP, sentiment analysis | https://www.linkedin.com/in/marina-chernyshevich-3505b664/ | Advisors |  | 3.3 |
| Alex Evsenev | Sr Low-Latency C++ Developer | https://www.linkedin.com/in/alexander-evsenev-aa907a23/ | Developers |  | 3.3 |
| Denis Romanchuk | C++ Developer | Developers |  | 3.3 | |
| Ivan Ryzhkov | DevOps | https://www.linkedin.com/in/ryzhkow/ | Developers |  | 3.3 |
| Veniamin Zolotukhin | Front-end Developer, UI designer | https://www.linkedin.com/in/venya/ | Developers |  | 3.3 |
| Denis Popov | Founder, CEO | https://www.linkedin.com/in/denis-popov-atto/ | Management |  | 3.3 |
| Gene Zeltsman | Co-founder, CTO | https://www.linkedin.com/in/gene-zeltsman-6970b171/ | Management |  | 3.3 |
| Maksim Hramadtsou | Co-founder, COO | https://www.linkedin.com/in/maksim-hramadtsou/ | Management |  | 3.3 |
| Talha Chaundry | Head of Trading | https://www.linkedin.com/in/talhachaudhry/ | Management |  | 3.3 |
| Natalya Stepanenko | Director of Talent Management | https://www.linkedin.com/in/natalya-stepanenko-260a6442/ | Management |  | 3.3 |
| Avi Kohn | Sr. Quant Researcher / Trader – Event-driven strategies | https://www.linkedin.com/in/avikohn/ | Quants |  | 3.3 |
| Eugen Kushnerov | Sr. Quant Researcher / Trader | https://www.linkedin.com/in/eugen-kushnerov-bb4b02101/ | Quants |  | 3.3 |
| Roman Melnyk | Quant Researcher | https://www.linkedin.com/in/roman-melnyk-690689b8/ | Quants |  | 3.3 |
| Guangyu (Simon) Gu | Jr Quant Researcher | https://www.linkedin.com/in/guangyu-gu-521bbb118/ | Quants |  | 3.3 |
External links
CRYPTTO on twitter
CRYPTTO on telegram
CRYPTTO on facebook
CRYPTTO on medium
CRYPTTO on bitcointalk
CRYPTTO on github
CRYPTTO on reddit
CRYPTTO on youtube
CRYPTTO official website
CRYPTTObounty
CRYPTTO whitepaper
Twitter
Telegram
