[ANN][ICO]Cryptics Exchange rate predictions based on AI

[cryptocryptics]

Role of correlation in cryptocurrencies market: https://medium.com/cryptics/role-of-correlation-in-cryptocurrencies-market-634785b7df8f

Very informative article. I even remembered the math I studied at the university. However, for me it remains unclear how you can profit from the fact that the two currencies correlate in some way. The same happens in real time. And their correlation we see mainly in the history of their courses.

Hi. Our algorithm anticipates such price movements, which in turn serves as a signal for buying or selling.

Can you explain the operation of the algorithm in more detail?

As a first step we finalize the CRYPTICS algorithm that is focused on predicting changes in
prices of cryptocurrencies (including the ICO tokens) both with respect to the fiat currencies
and to each other. Due to the fact that cryptocurrency markets are very new, the factors that
drive prices are coming from very different sources, so the algorithm uses the method of Artificial
Intelligence (AI) such as Machine Learning (ML), and specifically Deep Learning (DL), in order
to combine quantitative (e.g. prices) and non-quantitative (e.g. news) data to come with a stable
and reliable prediction. The collection of data and its processing occurs is done real-time, and
leads to predictions time horizons ranging from minutes to days. These predictions can be used
by any customer of the CRYPTICS platform either for private purposes (personal investments),
or to build a trading strategy and create a small fund on this platform.


U can get the detailed information here:

https://cryptics.tech/Whitepaper-Cryptics-EN.pdf

[LightFork]

Can you explain the operation of the algorithm in more detail?

As a first step we finalize the CRYPTICS algorithm that is focused on predicting changes in
prices of cryptocurrencies (including the ICO tokens) both with respect to the fiat currencies
and to each other. Due to the fact that cryptocurrency markets are very new, the factors that
drive prices are coming from very different sources, so the algorithm uses the method of Artificial
Intelligence (AI) such as Machine Learning (ML), and specifically Deep Learning (DL), in order
to combine quantitative (e.g. prices) and non-quantitative (e.g. news) data to come with a stable
and reliable prediction. The collection of data and its processing occurs is done real-time, and
leads to predictions time horizons ranging from minutes to days. These predictions can be used
by any customer of the CRYPTICS platform either for private purposes (personal investments),
or to build a trading strategy and create a small fund on this platform.


U can get the detailed information here:

https://cryptics.tech/Whitepaper-Cryptics-EN.pdf

Thanks for the answer, I read the EP. If you have any questions, I'll write to you. By the way, are you a member of the development team?

[cryptocryptics]

Today:

Date	Pair	Price (P)	Move (P)	Move% (P)	Price (R)	Move (R)
						
11.01.2018	ARDR/USD	1.319	 -0.261	 -16.50		
11.01.2018	ETH/USD	 1293.294	 44.304	 3.55		
11.01.2018	XRP/USD	 1.669	-0.281	 -14.42		
11.01.2018	LTC/USD	 231.286	 -17.814	 -7.15		
11.01.2018	XMR/USD	 394.857	 -8.663	 -2.15		
						
11.01.2018	DCR/USD	 105.266	 -7.764	 -6.87		
11.01.2018	ZRX/USD	2.082	 -0.038	 -1.78		
11.01.2018	STRAT/USD	 17.260	-1.770	 -9.30		
11.01.2018	NEO/USD	 116.776	 -5.744	 -4.69		
11.01.2018	OMG/USD	 21.993	 -1.157	 -5.00		

https://cryptics.tech/

Can you explain in more detail what is shown in this table? Where is the graph that shows the analysis of AI?

The graph shows the forecast of the change in pairs of Cryptocurrency in the numerical value and the percentage of the initial value at the beginning of the day. The data for the table is provided by Ai.

[cryptocryptics]

Does your bot have bidding statistics on a long segment? Where can I download and study it? It is desirable in a format that would support the normal processing of data like Excel worksheets.

Currently  we do not provide detailed statistics , we will do this in a near future.

[cryptocryptics]

Can you explain the operation of the algorithm in more detail?

As a first step we finalize the CRYPTICS algorithm that is focused on predicting changes in
prices of cryptocurrencies (including the ICO tokens) both with respect to the fiat currencies
and to each other. Due to the fact that cryptocurrency markets are very new, the factors that
drive prices are coming from very different sources, so the algorithm uses the method of Artificial
Intelligence (AI) such as Machine Learning (ML), and specifically Deep Learning (DL), in order
to combine quantitative (e.g. prices) and non-quantitative (e.g. news) data to come with a stable
and reliable prediction. The collection of data and its processing occurs is done real-time, and
leads to predictions time horizons ranging from minutes to days. These predictions can be used
by any customer of the CRYPTICS platform either for private purposes (personal investments),
or to build a trading strategy and create a small fund on this platform.


U can get the detailed information here:

https://cryptics.tech/Whitepaper-Cryptics-EN.pdf

Thanks for the answer, I read the EP. If you have any questions, I'll write to you. By the way, are you a member of the development team?

You are welcome. No, unfortunately I am not. But this does not stop me from asking questions to them. =)))

[cryptocryptics]

"Collected funds will be used to develop a self-learning platform based on artificial intelligence, global marketing of the project, the creation of a sales department and contextual advertising. Cryptics will start accepting CRP tokens as payment for services in the platform."

I would like to know what machine learning will be used? Based on algorithms or completely autonomous with the help of neural networks? And I wonder what will be the criteria for determining that training has already been done - there will always be errors and illogical market movements.

Due to the fact that cryptocurrency markets are very new, the factors that
drive prices are coming from very different sources, so the algorithm uses the method of Artificial
Intelligence (AI) such as Machine Learning (ML), and specifically Deep Learning (DL), in order
to combine quantitative (e.g. prices) and non-quantitative (e.g. news) data to come with a stable
and reliable prediction.

[cryptocryptics]

Role of correlation in cryptocurrencies market: https://medium.com/cryptics/role-of-correlation-in-cryptocurrencies-market-634785b7df8f

Very informative article. I even remembered the math I studied at the university. However, for me it remains unclear how you can profit from the fact that the two currencies correlate in some way. The same happens in real time. And their correlation we see mainly in the history of their courses.

Hi. Our algorithm anticipates such price movements, which in turn serves as a signal for buying or selling.

Is this already implemented programmatically or is it just working as a concept?

Is this already implemented programmatically. Every day we publish graphs of forecasts, based on calculations of Ai.

[cryptocryptics]

Today:

Date	Pair	Price (P)	Move (P)	Move% (P)	Price (R)	Move (R)
						
12.01.2017	ARDR/USD	1.328	 0.008	 0.64		
12.01.2017	ETH/USD	 1227.979	 88.659	 7.78		
12.01.2017	XRP/USD	 2.052	0.122	 6.34		
12.01.2017	LTC/USD	 230.297	 3.767	 1.66		
12.01.2017	XMR/USD	 375.541	 22.591	 6.40		
						
12.01.2017	DCR/USD	 107.931	 6.481	 6.39		
12.01.2017	ZRX/USD	1.992	 0.152	 8.28		
12.01.2017	STRAT/USD	 17.039	0.969	 6.03		
12.01.2017	NEO/USD	 118.891	 11.751	 10.97		
12.01.2017	OMG/USD	 22.145	 0.745	 3.48		

date - day for which the close price is forcasted ( close price for current day calculated on 00:01 GMT of the next day)
pair - currency pairs for which forecast are generaited
forecasted price - predicted close price for "date"
move - currency pair trend, "up" indicates that price will rise up, "down" - price will go down
difference - "value" of the trend, basicaly means the difference of predicted close price and today`s close price at 00:01 GMT

https://cryptics.tech/

[Pay4youractivity]

Does your bot have bidding statistics on a long segment? Where can I download and study it? It is desirable in a format that would support the normal processing of data like Excel worksheets.

Currently  we do not provide detailed statistics , we will do this in a near future.

Excellent. In what form do you provide it? In the "raw" or already processed for a clearer assessment of it?

[LightFork]

Today:

Date	Pair	Price (P)	Move (P)	Move% (P)	Price (R)	Move (R)
						
12.01.2017	ARDR/USD	1.328	 0.008	 0.64		
12.01.2017	ETH/USD	 1227.979	 88.659	 7.78		
12.01.2017	XRP/USD	 2.052	0.122	 6.34		
12.01.2017	LTC/USD	 230.297	 3.767	 1.66		
12.01.2017	XMR/USD	 375.541	 22.591	 6.40		
						
12.01.2017	DCR/USD	 107.931	 6.481	 6.39		
12.01.2017	ZRX/USD	1.992	 0.152	 8.28		
12.01.2017	STRAT/USD	 17.039	0.969	 6.03		
12.01.2017	NEO/USD	 118.891	 11.751	 10.97		
12.01.2017	OMG/USD	 22.145	 0.745	 3.48		

date - day for which the close price is forcasted ( close price for current day calculated on 00:01 GMT of the next day)
pair - currency pairs for which forecast are generaited
forecasted price - predicted close price for "date"
move - currency pair trend, "up" indicates that price will rise up, "down" - price will go down
difference - "value" of the trend, basicaly means the difference of predicted close price and today`s close price at 00:01 GMT

https://cryptics.tech/

It turns out the indicator by which we judge the accuracy of the forecast is the graph "difference"?

[nhaila]

I am very interested in the price of this project is 1 CRP = 0.001 ETH and it's good enough to harbor a coin with a sufficient supply

[cryptocryptics]

Role of correlation in cryptocurrencies market: https://medium.com/cryptics/role-of-correlation-in-cryptocurrencies-market-634785b7df8f

Very informative article. I even remembered the math I studied at the university. However, for me it remains unclear how you can profit from the fact that the two currencies correlate in some way. The same happens in real time. And their correlation we see mainly in the history of their courses.

Hi. Our algorithm anticipates such price movements, which in turn serves as a signal for buying or selling.

Is this already implemented programmatically or is it just working as a concept?

Is this already implemented programmatically. Every day we publish graphs of forecasts, based on calculations of Ai.

Ok, I get it. Now I will wait for the next stage - statistical processing of this information. It will be necessary to identify the correlation of your forecasts with the real price change. Or do you already have an approximate figure?

The accuracy of our forecasts is about 70 percent.

I recommend that you subscribe to our forecasts.

https://cryptics.tech/#contact-us

Also on the site you can make a paid subscription, which will allow us to use the prototype of our project in the near future.

https://cryptics.tech/blog/en/product/monthly-cryptocurrency-forecast-subscription/

[cryptocryptics]

Today:

Date	Pair	Price (P)	Move (P)	Move% (P)	Price (R)	Move (R)
						
12.01.2017	ARDR/USD	1.328	 0.008	 0.64		
12.01.2017	ETH/USD	 1227.979	 88.659	 7.78		
12.01.2017	XRP/USD	 2.052	0.122	 6.34		
12.01.2017	LTC/USD	 230.297	 3.767	 1.66		
12.01.2017	XMR/USD	 375.541	 22.591	 6.40		
						
12.01.2017	DCR/USD	 107.931	 6.481	 6.39		
12.01.2017	ZRX/USD	1.992	 0.152	 8.28		
12.01.2017	STRAT/USD	 17.039	0.969	 6.03		
12.01.2017	NEO/USD	 118.891	 11.751	 10.97		
12.01.2017	OMG/USD	 22.145	 0.745	 3.48		

date - day for which the close price is forcasted ( close price for current day calculated on 00:01 GMT of the next day)
pair - currency pairs for which forecast are generaited
forecasted price - predicted close price for "date"
move - currency pair trend, "up" indicates that price will rise up, "down" - price will go down
difference - "value" of the trend, basicaly means the difference of predicted close price and today`s close price at 00:01 GMT

https://cryptics.tech/

It turns out the indicator by which we judge the accuracy of the forecast is the graph "difference"?

Do you mean post Move% (P)? Yes is the "Difference".

[cryptocryptics]

"Collected funds will be used to develop a self-learning platform based on artificial intelligence, global marketing of the project, the creation of a sales department and contextual advertising. Cryptics will start accepting CRP tokens as payment for services in the platform."

I would like to know what machine learning will be used? Based on algorithms or completely autonomous with the help of neural networks? And I wonder what will be the criteria for determining that training has already been done - there will always be errors and illogical market movements.

Due to the fact that cryptocurrency markets are very new, the factors that
drive prices are coming from very different sources, so the algorithm uses the method of Artificial
Intelligence (AI) such as Machine Learning (ML), and specifically Deep Learning (DL), in order
to combine quantitative (e.g. prices) and non-quantitative (e.g. news) data to come with a stable
and reliable prediction.

It seems to me that price changes "on news" are a noise for real dependencies between pairs of currencies and we have to get rid of them if we take a large data set of a pair of currencies.

When forecasting prices, we collect data from various sources, including exchanges, forums and others. We are working on analyzing existing data. And the reaction to the forecast in different people can be different.

[cryptocryptics]

When forecasting prices, we collect data from various sources, including exchanges, forums and others. We are working on analyzing existing data. And the reaction to the forecast in different people can be different.

How does the AI process news data? These are words, semantics, and not mathematical data.

Our Ai processes simantics and leads it to the mathematical equivalent. We process the most influential informative accounts of the blockade and cryptocurrencies on Twitter.

[LightFork]

When forecasting prices, we collect data from various sources, including exchanges, forums and others. We are working on analyzing existing data. And the reaction to the forecast in different people can be different.

How does the AI process news data? These are words, semantics, and not mathematical data.

Our Ai processes simantics and leads it to the mathematical equivalent. We process the most influential informative accounts of the blockade and cryptocurrencies on Twitter.

Wow, I can not say that I'm very good at this issue, but I'm more or less interested in it. If you managed to create such a system capable of analyzing news, then this is shocking news for me.

I think there is an emphasis not on the processing of semantics but on the extraction of significant figures.

[Pay4youractivity]

The accuracy of our forecasts is about 70 percent.

I recommend that you subscribe to our forecasts.

https://cryptics.tech/#contact-us

Also on the site you can make a paid subscription, which will allow us to use the prototype of our project in the near future.

https://cryptics.tech/blog/en/product/monthly-cryptocurrency-forecast-subscription/

Should I pay now? And when will the forecasts be put for my payment?

[cryptocryptics]

Ok, I get it. Now I will wait for the next stage - statistical processing of this information. It will be necessary to identify the correlation of your forecasts with the real price change. Or do you already have an approximate figure?

The accuracy of our forecasts is about 70 percent.

I recommend that you subscribe to our forecasts.

https://cryptics.tech/#contact-us

Also on the site you can make a paid subscription, which will allow us to use the prototype of our project in the near future.

https://cryptics.tech/blog/en/product/monthly-cryptocurrency-forecast-subscription/

If we use intraday trading, then taking into account the commission of the exchange and the inability to conduct margin trading, the profitability of such a forecast will still remain quite appreciable. Tell me this is the final figures or do you think you can improve them?

Each transaction processed with artificial intelligence, each processed news in social media leads to an increase in the accuracy of the forecast. But I can not yet say how quickly this percentage will increase.

[cryptocryptics]

The accuracy of our forecasts is about 70 percent.

I recommend that you subscribe to our forecasts.

https://cryptics.tech/#contact-us

Also on the site you can make a paid subscription, which will allow us to use the prototype of our project in the near future.

https://cryptics.tech/blog/en/product/monthly-cryptocurrency-forecast-subscription/

Should I pay now? And when will the forecasts be put for my payment?

You can subscribe to a free subscription to the basic newsletter of our forecast, which we publish here and in our telegram channel. https://t.me/CrypticsAI

[cryptocryptics]

When forecasting prices, we collect data from various sources, including exchanges, forums and others. We are working on analyzing existing data. And the reaction to the forecast in different people can be different.

How does the AI process news data? These are words, semantics, and not mathematical data.

Our Ai processes simantics and leads it to the mathematical equivalent. We process the most influential informative accounts of the blockade and cryptocurrencies on Twitter.

Wow, I can not say that I'm very good at this issue, but I'm more or less interested in it. If you managed to create such a system capable of analyzing news, then this is shocking news for me.

I think there is an emphasis not on the processing of semantics but on the extraction of significant figures.

Besides relying on quantitative market data for forecasts, CRYPTICS also uses non-quantitative data from selected lists of news sources and social networks accounts to estimate the market senti-ment. More information you can get by reading our WP. https://cryptics.tech/#whitepaper