17 August 2018
Alphacat recently provided an update on its product development in its regular bi-weekly progress report, this time for the month of August, 2018 (i.e. between the 1st and 15th). In the report Alphacat provided updates to its Alphacat AI Forecasting Engine, Alphacat Index Engine, Alphacat Analysis Tools and ACAT Store. Alphacat also reported on the positive growth of its community, without taking too much of your time continue reading to get the latest update on Alphacat’s progress. Happy reading!
Here’s a summary of the growth in Alphacat’s global community as provided in the report:
Growth in social media followers;
Despite the encouraging growth in both their Facebook and Twitter following, Alphacat witnessed a decline in their Global Telegram following with a 3.6% drop recorded. Before the report they had 9,340 users, but as at the time of writing their bi-weekly report the number of users had dropped to 9,004. It was also reported that the distribution of the ACAT tokens to early bird contributors which commenced on the 6th of August, 2018 has reached 90% completion.
Alphacat also reported that since the launch of ACAT Store, it has been receiving very positive feedback from member of the community. Users also provided meaningful suggestions on how Alphacat can improve the store and these valuable suggestions have been noted by Alphacat.
Since the launch of the ACAT Store, there has been some updates made to the domain protocol which has been upgraded to a more secure protocol (i.e. from “http” to “https”). Furthermore, Alphacat stated that they have improved the effectiveness of the “global node data” by increasing its speed and enhancing it’s overall performance. Alphacat also said that it has updated the front-end code area on GitHub, you can check it out by clicking on this link here.
The Core Prediction Algorithm Update
In their recent progress report, Alphacat stated that their “real-time predictive alhorithm kernel” has been updated with the use of the PRNN-LSTM algorithm v2.0. By so doing, the Alphacat AI Forecasting Engine prediction margin of error has been significantly reduced while the level of forecasting prediction has been enhanced.
Alphacat further informed their community that they plan on launching the ACE Top 10 Index which is a brand new application that will be available in the ACAT Store and will utilise a special algorithm rule which picks out a total of 10 cryptocurrencies from the crypto market, subsequently making use of related data such as their price to have an average value calculated for all 10 cryptos in order to determine the “ACE Top 10 Index”.
One other application that Alphacat intends launching soon and will be made available in the ACAT Store for all users to have access to, is the Market Status Analysis Tool. With this tool, cryptocurrency data can be effectively analysed with the aid of the HMM model.
The HMM model assumes that in a trading markets there are a variety of market conditions available and these conditions are not necessarily determined only by the present market data, but by also a number of unfactored probabilities in the current market.
The Market Status Analysis Tool will utilise the HMM model to effectively analyse the “historical data” of a cryptocurrency and done on a daily basis. From the data analysed, it will be able to accurately predict the state of the market, the highest daily probability and the most likely “historical state sequence” for a certain period of time in the near future.
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