Topic: 🌟🌟🚀[ANN][TOKENSALE]🚀 TRADINGENE - ALGORITHMS MARKETPLACE - page 23. (Read 7181 times)
Where is the guarantee that the system won't once hang up for a couple of hours or even days?
I'll tell you what happens. An investor comes, looks at an idea being developed and quickly forges it himself. Why would he pay anybody? What is he, a fool? Especially if he is an experienced trader)))
What happens if a creator goes crazy and decides to destroy his algorithm or simply take it away from the platform? Will the investor's money vanish?
Not at all, the creator wouldn't be able to do so under contractual terms, neither legally nor technically. Just like a builder cannot by his own decision demolish a house in which you've bought a flat from him. All money is stored on the accounts of investors, and the creator has no access to these accounts. Moreover, when an algorithm is started, its operation term is fixed, and the creator cannot cancel it. Subsequently, if the creator leaves the platform, investor's money will be protected, and the algorithm will keep on working until the smart contract expires. Will the platform be able to operate if cryptocurrency transactions in Russia will be legally banned?
Yes, because the platform itself is not a currency exchange and does not participate in ensuring sales of currency or other assets. The platform is used for development of exchange trade algorithms and for interaction between creators and investors. The sales of exchange assets themselves take place at currency exchanges, to which the platform will be connected. Exchanges will be directly responsible for these transactions. Are there any risks that a disappointed investor can sue the platform, which will endanger its functioning in general, as it has already happened in a number of ICOs?
Legal base of the platform's cooperation with users as well as mutual cooperation of users is currently being developed in the most serious way. Sure, occurrence of a claim can never be excluded; moreover, the investor has a right to sue anybody for anything. The platform, however, will envisage all possible conflict situations and make everything to minimize the general possibility of their occurrence. Most platforms contain numerous algorithms overloaded with indicators. It is not an easy task to choose anything from them, let alone find an effective one. What tools are you planning to use to make the investor's life easier?
The correct system of profit distribution and motivation will reduce the number of low-quality products - there will be no sense in them, and non-ethical creators of algorithms won't waste their time for creation of such algorithms. They will go to other platforms and stop flooding ours. Moreover, all algorithms will be additionally assessed based solely on the data outside of test sampling. This approach will minimize negative effect from optimization of strategies. Moreover, creator of an algorithm will leave a pledge to put this algorithm on the auction. The pledge is withheld if the system appears to be unprofitable within the minimum investment period specified by the creator. This is why creator of the algorithm has to determine the optimal minimum investment term - long term will protect the pledge but can scare off the investors; situation with the short term is the opposite. 
Nice for projek
What happens if a creator goes crazy and decides to destroy his algorithm or simply take it away from the platform? Will the investor's money vanish?
Will the platform be able to operate if cryptocurrency transactions in Russia will be legally banned?
How are you planning to promote your platform?
Promotion strategy involves all known PR and Internet marketing tools, including mass media publications, targeted advertisement in social media, context and banner advertisement, work with leaders of opinions, etc. Cryptocurrency community and participants of financial markets will be well aware of the platform, that's for sure. In short, how is transparency achieved in terms of relations between creators and investors?
Transparency is achieved through the auction and smart contract mechanisms. Auction guarantees the best competitive conditions for creator; at the same time, smart contract guarantees and cements mutual understanding and agreements between the creator and the investor.
Are there any risks that a disappointed investor can sue the platform, which will endanger its functioning in general, as it has already happened in a number of ICOs?
Most platforms contain numerous algorithms overloaded with indicators. It is not an easy task to choose anything from them, let alone find an effective one. What tools are you planning to use to make the investor's life easier?
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?
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.
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?
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. Jump to: