With in-depth research on AI intelligent big data, trustquant conducts quantitative modeling of K-line patterns, macro information data, derived official data, on-chain information, etc., and filters through AI neural networks and genetic algorithms to finally arrive at the best results. Trading straregy.
safety:
As a digital asset quantification strategy platform, the first obligation is security. No matter how high the profit is, once the assets are stolen, it has nothing to do with you. Asset loss problems occur frequently in the encryption industry. The key reason lies in the platform's security management strategy and risk control strategy. The trustquant strategy runs on the chain and does not expose user assets and user privacy information. The platform is maintained 24 hours a day by top technical talents to protect user asset rights.
Operability:
In terms of support for trading varieties, trustquant supports a variety of mainstream currency contract trading pairs in the encryption market, such as BTC, ETH, DOGE, etc., which can meet the diverse trading needs of users. Supports simultaneous operation of multiple accounts, multiple currencies, and multiple strategies, distributed deployment, and unlimited expansion. Visually manage multiple capital accounts on trustquant, allowing one terminal to connect to multiple markets around the world. There is no need to observe multiple websites simultaneously, saving a lot of time wasted in switching back and forth, and making correct investment decisions faster.
Strategic:
In terms of overall functional design, trustquant has added AI intelligent elements. The platform will develop exclusive trading strategies based on users, and provide strategy review packages and strategy optimization instructions. In terms of strategy selection, trustquant has launched shock trading strategies, trend trading strategies, and Strategies such as arbitrage strategies combine the user's amount of funds and risk preferences to formulate a variety of compound strategies based on historical big data and AI backtracking to meet the needs of different investors and achieve stable asset appreciation.