Alphacat Report (16–30)
As part of our efforts to be transparent and have regular communication with our community, we are pleased to share our half-monthly report which includes our progress during this period and our outlook for the future.
The ACAT Store payment function is set to launch on the platform soon. The store will continue to have both free and paid apps available to users. The paid apps will use the store’s native points system to let users pay for services. The store points are made available by exchanging ACAT tokens in a 1:1 ratio. Users can select the application according to their own needs, as well as the number of times they wish to use the service. Each app service will have its own pricing, and each service use will result in a deduction as payment. The store also has a recharge section where you can top off your balance as well as view the application consumption records.
1. ACAT Store
By the end of April, the ACAT Store had listed 84 applications in total.
All of the ACAT Store applications were developed by either Alphacat’s official development team, a third party team integrated with the ACAT platform or as third-party applications fully developed by others. In the early days of our platform, most applications were developed via cooperation with the Alphacat Team and third parties. Cooperative development refers to the use of our Alphacat Engine to create and deploy applications. At present, more and more third parties have discussed cooperation with us. We also welcome more excellent developers to jointly build the ACAT Store and its ecosystem.
For developers, we support the following:
i) Developers at the conceptual stages of product design.
ii) Developers who already have products listed in the store.
iii) Developers who already have products and are certified by Alphacat.
iv) Developers who are working in cooperation with the Alphacat Team.
In the future, we will provide different services for different types of developers.
For listing inquiries and business cooperation, please contact: email@example.com.
2. AI Forecasting Engine
Real-time Forecasting System
(1) We have conducted actual transaction testing on the AI automated forecasting and trading system for cryptocurrency futures and found several issues for the development team to improve.
(2) We are studying the difference in the effect of the AI forecast trading system, and the causes in the case of different market data cycles.
(3) We will continue to compare the actual trading results with the real simulation of transactions and will improve the trading methods.