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
Topic: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈 - page 29. (Read 5993 times)
November 13, 2017, 07:52:33 PM
November 13, 2017, 02:11:35 PM
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! 
November 13, 2017, 11:48:42 AM
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.
November 13, 2017, 11:07:22 AM
Thank you mate!
That is what I was looking for in DataTrading.
Will try the first demo and will let you know.
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!
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!
November 13, 2017, 06:51:30 AM
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!
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!
November 10, 2017, 05:48:54 AM
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.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.
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. November 08, 2017, 02:29:17 PM
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. any prototype model??
November 08, 2017, 10:43:42 AM
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.
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
November 08, 2017, 10:27:31 AM
How to find more information on the project??
any prototype model??
any prototype model??
November 08, 2017, 10:25:08 AM
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
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.
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. November 08, 2017, 10:17:36 AM
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.
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.
November 08, 2017, 09:16:09 AM
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/
Hello James! Thanks for answering my question. I wonder if they would have some tutorial on how to create the model..
They definitely will. What is more, you will be able to use the platform and its tools only after one day of learning.
The Constructor of DataTrading Machine Learning is one of the components of the system, which is an interface that allows any member of the system to design a machine learning model, select and process the necessary data, train the model and perform the test of the results. The system will be designed in such a way that no special knowledge will be required to complete all these operations, only the understanding of the general principles of machine learning.
In most cases you do not need to input raw data into the system for the implementation of training, all market data for machine learning is constantly available and will be updated in real time (the data preparation will be handled by system administrators) in DataTrading platform. The user only has to choose those values that are necessary for training a particular algorithm. However, if the user wants to use some specific or unique data, he will have the opportunity to upload and connect them to the model. The resulting models can be used both for the developer’s own trading or for its sale to other platform participants. The system will implement automatic quality control, the user will be confident in the properties, accuracy and capabilities of the model, which he will purchase from a third-party developer.
The team is very friendly as far as I see and they will help you with everything!
November 08, 2017, 09:03:35 AM
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/
Hello James! Thanks for answering my question. I wonder if they would have some tutorial on how to create the model..
Sherman, push the worries away! Out intuitive user interface is so easy to use, that you won't have any troubles with that. If some questions or hesitations come up during your usage, you'll be able to contact our support and ask for assistance. Cheers!
November 08, 2017, 09:01:31 AM
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. November 08, 2017, 08:56:40 AM
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/
Hello James! Thanks for answering my question. I wonder if they would have some tutorial on how to create the model..
November 08, 2017, 08:51:51 AM
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/
November 08, 2017, 08:31:36 AM
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 profit? Wouldn't it be difficult for me?
November 08, 2017, 08:25:21 AM
Hello team! Interested in you project..Are is secure for me to participate in the Token Sale DataTrading project? 
Hey!
I believe that there is always some risk connected to participation in token sales.
However, DataTrading is a trustworthy company with a big experience in AI and blockchain technologies (2012 - getting Started with Artificial Intelligence and Neural Networks and 2014 - the beginning of work with the technology of blockchain and cryptocurrencies).
DataTrading gathers real professionals in the sphere of AI and blockchain and thus I think that technically your future work with all the instruments that it provides will be safe and effective.
The team will respond to any regulatory request and will seek for full openness and transparency and thus will do everything to make sure that your participation in this project is safe.
Hey Aleks! Thanks for a broad answer. I'll keep an eye on you guys..But I think I will take this risk.
Hey Tania! We would rather call it a great opportunity rather than a risk.
Feel free to PM for questions and concerns if you have any.
November 08, 2017, 08:22:45 AM
Hello team! Interested in you project..Are is secure for me to participate in the Token Sale DataTrading project?
Hey!
I believe that there is always some risk connected to participation in token sales.
However, DataTrading is a trustworthy company with a big experience in AI and blockchain technologies (2012 - getting Started with Artificial Intelligence and Neural Networks and 2014 - the beginning of work with the technology of blockchain and cryptocurrencies).
DataTrading gathers real professionals in the sphere of AI and blockchain and thus I think that technically your future work with all the instruments that it provides will be safe and effective.
The team will respond to any regulatory request and will seek for full openness and transparency and thus will do everything to make sure that your participation in this project is safe.
Hey Aleks! Thanks for a broad answer. I'll keep an eye on you guys..But I think I will take this risk.
November 08, 2017, 07:00:51 AM
Hello team! Interested in you project..Are is secure for me to participate in the Token Sale DataTrading project?
Hey!
I believe that there is always some risk connected to participation in token sales.
However, DataTrading is a trustworthy company with a big experience in AI and blockchain technologies (2012 - getting Started with Artificial Intelligence and Neural Networks and 2014 - the beginning of work with the technology of blockchain and cryptocurrencies).
DataTrading gathers real professionals in the sphere of AI and blockchain and thus I think that technically your future work with all the instruments that it provides will be safe and effective.
The team will respond to any regulatory request and will seek for full openness and transparency and thus will do everything to make sure that your participation in this project is safe.
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