# Test Net ### BSC Test Net Through the efforts of team members, AI Trader has launched the [test net of the BSC](/ai-trader/docs/access-api.md) 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. [How to migration guide？](/ai-trader/docs/migration-guide.md) ### Why we have chosen Binance Smart Chain (BSC) as our net of choice 1. Speed and Scalability: BSC has a block time of just 1 second, which is much faster compared to other blockchain net 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. 2. 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. 3. 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. 4. 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. [Click here to enter to view the testnet](/ai-trader/docs/access-api.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://ais-organization-2.gitbook.io/ai-trader/test-net.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.