Topic: 🌟🌟🚀[ANN][TOKENSALE]🚀 TRADINGENE - ALGORITHMS MARKETPLACE - page 32. (Read 7181 times)
How are you planning to promote your platform?
Apparently, the platform will have a huge volume of information. Is it planned to store it in its own blockchain? If so, won't it lead to its overload?
We are planning to use functionality of Filecoin and Storj project for distributed storage of algorithms.
In short, how is transparency achieved in terms of relations between creators and investors?
Apparently, the platform will have a huge volume of information. Is it planned to store it in its own blockchain? If so, won't it lead to its overload?
Blockchain guarantees transparency of relations between the participants. But this is true only as long as the blockchain is functioning, and the smart contract is carried out. Who can introduce changes into a smart contract?
Blockchain guarantees transparency of relations between the participants. But this is true only as long as the blockchain is functioning, and the smart contract is carried out. Who can introduce changes into a smart contract?
When on blockchain, contract with an investor cannot be terminated or altered without agreement, i.e. trade will be carried out only via the selected algorithm. Which tools are used to assess the algorithm efficiency?
We're talking about the toolkit based on Lua and Python languages, which allows simulating trade based on historic and real data with collection of statistics and visualization of solution and algorithm's profitability. In particular, it includes Python taft library (https://pypi.python.org/pypi/taft), which is intended for analysis of trade data for work with quotation database, as well as Python tnn library (https://pypi.python.org/pypi/tnn), which is used for algorithmic trade with the use of neural networks.Moreover, there is a toolkit for preliminary data processing using taft, creating neural networks with set or random parameters, learning networks by different optimization methods (Gradient Descent, Adam, etc.), data preservation and visualization. The library is implemented with the help of the TensorFlow framework. All this will give the creators of algorithms the possibility to create and test trade algorithms with comfort. Which parameters does the machine learning system use to analyze the investor's needs and find algorithms that would be suitable for him?
The system takes into account the following parameters: age, appetite for risk, profitability expectations, frequency of the platform's usage, geographic factor and financial tools of interest.
Which tools are used to assess the algorithm efficiency?
Which parameters does the machine learning system use to analyze the investor's needs and find algorithms that would be suitable for him?
What is the purpose of using machine learning on the platform? What functions does it perform?
The system analyzes the provided examples, finds regularities, generalizes information and compiles certain rules that help it solve various tasks. If we're talking about the platform itself, the machine learning gives the opportunity to:-- create complex mathematical models that will form the basis for adaptive trade algorithms;
-- evaluate quality and efficiency of the algorithm and assign it a rating based on the results of modeling and history of transactions carried out using this algorithm;
-- Form an individual profile for the investor and offer him algorithms that would be the most suitable for his tasks.
What is the purpose of using machine learning on the platform? What functions does it perform?
Is there any academic support provided to students in the course of Quantitative Researcher training?
Of course, the tutors will answer any emerging questions and help clarify any unclear issues.
Is there any document issued after completion of training on the platform?
Will there be any training program for those who want to learn how to create algorithms?
For those who have no experience in creating algorithms and those who want to widen their knowledge, the Quantitative Researcher training course has been designed. The course gives general information about basic concepts and principles of the exchange operation, tells about cryptocurrency trade, share trade and other financial tools and demonstrates the existing possibilities for algorithmic trading in modern market, including cryptocurrency markets.
Is there any academic support provided to students in the course of Quantitative Researcher training?
What would you do if cryptocurrencies were completely banned, or the interest in them diminished?
What would you do if cryptocurrencies were completely banned, or the interest in them diminished?
As of now, there are no prerequisites for either of these scenarios. In case of 'cryptocurrency apocalypse' investors and creators will be able to continue working at the platform for the purpose of sales at 'traditional' exchanges.
Will there be any training program for those who want to learn how to create algorithms?
Which mechanisms are used to guarantee protection of the investor's interests?
All financial covenants, amounts and interest are registered using the blockchain technology. They cannot be falsified, deleted or altered. Jump to: