[ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈

[Aleks_Bens]

Also, there is a very cool option available.

Marketplace of machine learning models is an innovation of DataTrading Team, no company seems to have it.

Each user of DataTrading system has the opportunity to develop his/ her model of machine learning. This model will be further used in screeners, trade advisors or for scoring ICO / IPO.
 If you want, these models can be published in the marketplace of machine learning models and sold to other participants of the system. The developer sets the conditions for using each model, for example:
 ● cost of use;
 ● time of use at the specified price (one month, year, all the time);
● the maximum number of traders who can purchase this model (from one (exclusive use) to an unlimited number). In addition, it is planned that the system will recommend the optimal competitive pricing strategy and terms of use for the DataTrading Marketplace based on the results of back-testing, which the developer can accept or reject.

If you worry about the quality of the model that you purchase, there is a Quality control.
The marketplace will be able to get only those models that give an acceptable level of errors and which show a high accuracy of forecasts on historical data. All data of testing and quality control will be entered in the blockchain and will be available for monitoring and auditing. In addition, the models will be checked for similarity to other existing developments, to ensure the preservation of intellectual property developers

Hello DataTrading team! Your project seems awesome to me as an investor and a trader! But what concerns me is that I am a person without any technical background. Will I be able to create my own models that will really bring me money and make the profit? Wouldn't it be difficult for me?

I read DataTrading whitepaper and I think I can answer your question.

Trained models will be able to make a profit for each client of Data Trading: they can be used for trading as
well as for selling to other market participants. The machine learning constructor will be easy to develop,
so that every client and even those without specialist education can use it.

 DataTrading aims to make the use of
artificial intelligence affordable and convenient for traders so they can trade on the stock exchanges
without the need to study of the mathematical foundations of this technology. We want to offer traders
a ready-made toolkit that will help them trade on different stock exchanges and to receive the income,
which is higher than the market level. We expect that even a novice trader will be able to get a good profit
and increase his professionalism with DataTrading trading advisor. In addition, anyone who is interested in
these technologies will be able to develop their own model of artificial intelligence on the DataTrading
platform even without special education and use it for their own trade or for sale to other users of the
system.

You can find all the info on http://data-trading.com/

Thanks for your answer, James!  It's correct! You don't need tech educaton to create a model.

[b-synthestech]

How to find more information on the project??
any prototype model??

[Marcus_Vega]

Also a question.

Can you please tell me about the tools and instruments that Datarading will offer to its users?
I have read that they are very innovative.

Hello!

I am a new person here but I found out about DataTrading from articles in Cointelegraph and Cryptoinnews

Here are the links

https://cointelegraph.com/press-releases/datatrading-makes-trade-forecasting-by-artificial-intelligence-open-for-everyone

https://www.cryptocoinsnews.com/new-quality-trade-forecasting-artificial-intelligence-datatrading/

They are becoming popular hehe.

So, I read some materials on the instruments that they provide.

DataTrading service develops its own constructor of trading strategies and will also implement a full analytical tool for stock and cryptocurrency markets on neural networks, namely:

Screener of shares/crypto assets;
Price forecast of shares / crypto assets;
Trade advisor;
Scoring of ICOs / IPOs;
Fundamental and news analysis of the stock and cryptocurrency markets on the module of artificial intelligence;
Constructor of trading strategies with the ability to connect and train neural networks available to the community; implementation of self-learning neural networks.

Well you can find a detailed description in the WhitePaper of the project

[EugeneMcKey]

How to find more information on the project??
any prototype model??

Hi, here is DataTrading screener demo. We just published it. We will add some tutorial to it in few days, so follow our news.

[EugeneMcKey]

At old thread illiki23 left several responses  so I asked our CTO Alexander Gandzha to comment it. So here are his replies.

Deep learning is really hot right now and has a lot of potential though has its downfalls such as model interpretability given the complexity of the resulting models and takes a lot of training data before you get decent classification and prediction accuracy.

We agree that you will definitely need to analyze more than the history of price movement. Algorithmic traders moved beyond price history analysis decades ago and to keep up you will have to as well. The efficient market hypothesis is somewhat relevant.  Feature generation is one of the most critical parts of the data mining process as it leads to more information (you can have an awesome machine learning algorithm which fails to produce good results if given the wrong features).  Lately I have seen people on the crypto scene using GitHub indicators (for example if a project posts an update), detecting trends in sentiment on Twitter and in forum threads, and so on. To get an advantage you want to be a first mover and use features others aren't or use them in a new way.  One critical feature involves 'shilling detection' as the detection of shilling would make some features irrelevant. 

For classification (such as classifying a price increase as a pump or natural growth or classifying coins into 'winners' and 'losers') I would really like to see 'gradient boosted decision tree induction' as one of the available classification algorithms.  It is really neat and has replaced random forests as my favorite.  It deals with things like overfitting rather well though has a number of benefits which will help when classifying new unknowns.  As for numeric time series prediction make sure you give due diligence to recurrent networks.  They 'remember' thus can find patterns within long sequences of temporal data.

In DataTrading system we try our best to move away from the classical technical indicators, especially those in which you need to adjust the parameters. Instead, our team is using machine learning algorithms. On the one hand, we focus on neural networks, but we also know how to work with other machine learning algorithms. We plan to provide complete list of machine learning algorithms with simple and understandable interface for using them in the final product of DataTrading.

I see you address some of these things in the whitepaper.  LSTM cells would be great!   I do have a few concerns about the scope and feasibility of the project.  As it is machine learning and AI is used extensively in algorithmic trading and adapts rather fast.  You need to construct a platform which allows for quick adaptation.

We are developing a model, which is capable of self-learning. Currently our team is working on the criteria for the assessment of model's learning quality with possible settings for its optimization. Thus, the flexibility of the model and the adjustment to the trader's tasks will not require a deep understanding of the learning process and will also allow the trader to  adapt model to his needs quickly and independently.

On a side note - it would be really neat to incentivize hand labeling and tagging of data points.  One problems with machine learning is a lack of labeled training data.  I like unsupervised and semi supervised learning but supervised learning is just so powerful.   Tokens could be provided to people though you would want to establish some sort of expert ranking based on how accurate they are.

Yes, we agree, lack of labeled training data may be a problem in machine learning. We've setup automatic data labeling according to our profit function. We also make automatic clusterization that does not need labeling.

[mathuo 444]

Hello friends!
Today we are proud to announce our first demo to you. Its main idea is to give you the understanding of the future functionality of the DataTrading platform. So far, it’s only a backtesting product. You can test it here: http://demo.data-trading.com/

These are only the first steps of the Artificial intelligence learning for detecting entry point for 250 stocks on Shenzhen Exchange during 2012–2016 by DataTrading.

5 neural networks calculate expediency of going long for each stock and the aggregated score is derived. The higher the score rate is – the greater is the probability of getting the profit for more than 2% on each order during the next 10 days.

As a result, you get an aggregated heatmap for all available stocks price change and score change. The platform gives you pieces of advice where to invest and what deals to skip.
In our demo, we used the past stock data of 2012 – 2016 just for the sake of proving the concept and giving you, as a user, an idea of what you will get in the the future product when you work with the real-time data.

Each week we are achieving the results and predicting the future for traders.
We will give the early access to our beta version with relevant forecasting to the first investors. Wanna be among them? Hurry up!

[Aleks_Bens]

Thank you mate!

That is what I was looking for in DataTrading.
Will try the first demo and will let you know.

Hello friends!
Today we are proud to announce our first demo to you. Its main idea is to give you the understanding of the future functionality of the DataTrading platform. So far, it’s only a backtesting product. You can test it here: http://demo.data-trading.com/

These are only the first steps of the Artificial intelligence learning for detecting entry point for 250 stocks on Shenzhen Exchange during 2012–2016 by DataTrading.

5 neural networks calculate expediency of going long for each stock and the aggregated score is derived. The higher the score rate is – the greater is the probability of getting the profit for more than 2% on each order during the next 10 days.

As a result, you get an aggregated heatmap for all available stocks price change and score change. The platform gives you pieces of advice where to invest and what deals to skip.
In our demo, we used the past stock data of 2012 – 2016 just for the sake of proving the concept and giving you, as a user, an idea of what you will get in the the future product when you work with the real-time data.

Each week we are achieving the results and predicting the future for traders.
We will give the early access to our beta version with relevant forecasting to the first investors. Wanna be among them? Hurry up!

[qiman]

My Wife she really wants to learn to be a good trader so interaction of AI with other live statistics could be very useful for her to hone her trading skills. So the minimum investment in the PRESALE is 100 USD am I correct? I look forward to reading more on the project in my spare time and making a good due diligence for our future investment portfolio.

[EugeneMcKey]

My Wife she really wants to learn to be a good trader so interaction of AI with other live statistics could be very useful for her to hone her trading skills. So the minimum investment in the PRESALE is 100 USD am I correct? I look forward to reading more on the project in my spare time and making a good due diligence for our future investment portfolio.

Hi! We have cancellated bottom limits of pre-sale. Feel free to ask any other questions!

[xeqoRameshAxueamExaqana]

iam receive inbox, about data trading project
not open bounty campaign dev, i think you need promotion if open ico selling
i want reserve indonesian translation dev if you need

[mathuo 444]

Happy Tuesday, everybody!

We have launched our active Pre-Order! Hurry up to get a 30% bonus as its amount is limited! This bonus will not be active after we reach $1.000.000.
How you can do it? It’s a piece of cake! We have released our invest dashboard. You can check it out here - https://dashboard.data-trading.com/register
Its user friendly and intuitive interface is easy to work with. We tried to make it simple and minimalistic. How do you like it? 😉
We have added bitcoins and ethereums as payment methods. And we are currently developing an opportunity to invest via altcoins as well.

Let us know what you think about the invest dashboard. We are open to your suggestions and pieces of advice 🙂
Join us in our project and be among these lucky guys with a 30% bonus!

[mathuo 444]

iam receive inbox, about data trading project
not open bounty campaign dev, i think you need promotion if open ico selling
i want reserve indonesian translation dev if you need

Hey! Unfortunately, this one is already taken. Thank you!

[EugeneMcKey]

is there a longer whitepaper version

Hi! Our official English whitepaper from 10.30.2017 has 29 pages. It's full version for now. We will release a new version of whitepaper soon, it will have some additional illustrations.
Do you think provided information is not enough? What else do you think we should have included in our whitepaper?

[VanSuKi]

Quite impressive in this project. I'll contribute soon.

[mathuo 444]

artificial intelligence is needed for the next generation blockchains. this looks great!

Thanks Princa! That's just what we thought about!
Thank you for your support!

[mathuo 444]

Quite impressive in this project. I'll contribute soon.

Welcome!  Feel free to ask us questions if you have any

[yudkowske]

Have airdrops planned?

[EugeneMcKey]

Have airdrops planned?

Could you please clarify your question?

[nikita_gricanenko]

pyccкoязычнaя вeткa yжe ecть?

[pikkie]

nice design I like this, hopefully your project runs successfully