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[exchange-rates_badge amount="1" base_currency="ETH" flag_type="none" decimals="2" id="1690700525" currency_list="USD"]

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[exchange-rates_badge amount="1" base_currency="BTC" flag_type="none" decimals="2" id="1690700525" currency_list="USD"]

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[exchange-rates_badge amount="1" base_currency="BTC" flag_type="none" decimals="2" id="1690700525" currency_list="USD"]

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ait.finance

AI Trader

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  • You may lack a well-crafted project whitepaper, or the existing one may be of poor quality.

Their official site text

AI Trader was built with a strong design philosophy built on five main pillars: Simplicity, Pragmatism, Sustainability, and Intelligent AI Trading.

#Simplicity

AI Trader aims to keep the feature set it offers as simple as possible. Ideally, AI Trader should contain the minimum number of moving parts required for a secure, scalable, and flexible system. This simplicity gives AI Trader's design a number of significant advantages over other, more complex structures.

AI Trader prefers to use existing battle-tested Ethereum code and BSC code wherever possible. The clearest example of this philosophy in practice is the choice to use AITRADER as the client software for AI Trader. When dealing with critical infrastructure, simplicity is also security. Every line of code we write is an opportunity to introduce unintentional bugs. A clean and minimal code base is also easier for external contributors and auditors to access. All of these help to maximize the security and correctness of the AI Trader protocol.

This will only become more apparent as the AI Trader protocol solidifies and existing resources can be redirected to core Ethereum infrastructure.

#Pragmatism

AI Trader's design philosophy puts the needs of users and developers above theoretical perfection. AI Trader was also founded on the understanding that any core team would have limited areas of expertise.

AI Trader is developed iteratively and strives to continuously gain user feedback. Many of today's core AI Trader features, such as EVM equivalence, were only possible through this iterative approach to protocol development.

#Sustainability

AI Trader has been involved for a long time. Application developers need to ensure that the platforms they are building can not only keep running but remain competitive in the long run.

AI Trader's design process was built around the idea of long-term sustainability, rather than taking shortcuts for scalability. At the end of the day, a scalable system is meaningless without the ecosystem that supports it.

The more complex the codebase, the harder it is for people outside the core development team to actively contribute to it. By keeping our codebase simple, we are able to build a larger community of contributors who can help maintain the protocol over the long term.

AI Trader has more advantages.

Although AI Trader appears to be an independent blockchain, it is ultimately designed as an artificial intelligence transaction, and all transaction scenarios will be applicable to AI Trader.

Automation: AI Trader can automate workflows and processes, or work independently of human teams. For example, artificial intelligence can help automate various aspects of information security by continuously monitoring and analyzing network traffic; quickly avoid risks through data analysis and market trend data, and make automatic decisions thousands of times faster than humans.

Reduce human error: AI Trader can eliminate human error in data processing, analysis, making decision recommendations, and other tasks through optimal automation of functions and algorithms.

Fast and accurate: Compared with humans, AI Trader can process more information faster, so as to find patterns and discover data relationships that humans may miss. For example, when trading opportunities arise, AI Trader can buy and sell 10,000 times faster than humans. Data will be easily captured and used in AI Trader.

Unlimited availability: AI Trader is not limited by time of day, rest needs, or other human burdens. When running in the cloud, AI Trader and machine learning can be "always on," so that the assigned tasks can be continuously processed, and the benefits of decision-making can be obtained at any time, AI Trader is the first.

Test Net

BSC Test Net

Through the efforts of team members, AI Trader has launched the chain from the combination of AI Trader intelligent model and blockchain technology. I am very grateful to the team members for their efforts. This is a great and meaningful work.

Why we have chosen Binance Smart Chain (BSC) as our net of choice

Speed and Scalability: BSC has a block time of just 1 second, which is much faster compared to other blockchain nets such as Ethereum, which has a block time of 15 seconds. This faster block time means that transactions are processed much quicker, making it suitable for our platform which requires fast and efficient transactions.

Low cost: Compared to other net, BSC offers lower gas fees, which allows us to provide users with more cost-effective services without incurring excessive fees, which is very important for widespread adoption and growth.

Interoperability: BSC is fully compatible with the Ethereum Virtual Machine (EVM), which means that our platform can easily integrate with existing Ethereum-based dApps and tools.

Security: Binance is known for its security and reputation in the cryptocurrency space, and BSC is built on the same principles. This high level of security is critical for the success of our platform and the protection of our users' assets.

AI Trader will soon test on the Ethereum chain and launch the Ethereum test net. In addition, Polygon and Ethereum are AI Trader's docking solutions. I believe that AI Trader will be known and applied by users soon.

Incentive plan

New community members of AI Trader will enjoy rewards before the mainnet goes live. AI Trader will record the community members participating in the testnet on the chain to form on-chain data, which is the only basis for rewards. The more trades you have, the bigger the trade data, the more rewards you will get from AI Trader.

Main Net

Even at this stage, AI Trader has achieved exciting results and AI Trader has launched a testnet. The testnet AI Trader solves AI data decision-making model, automation, fast and accurate, unlimited availability, reduction of human error, data collection, etc.

Based on the web3 architecture, the faster transaction processing speed will allow Farm, NFT, Staking, Dex, Metaverse, and other applications to have a better experience in AI Trader. Looking forward to our main internet cafe, it will be live soon, for transactions before the mainnet goes live. The more trades you have and the bigger your trading data, the more rewards you will get from AI Trader.

How It Works?

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