Ordinary investors can discover potential tokens by tracking "smart money", which are high-profit addresses, and paying attention to their trends can provide leading indicators. 1. Use tools such as Nansen and Arkham Intelligence to analyze the data on the chain to view the buying and holdings of smart money; 2. Use Dune Analytics to obtain community-created dashboards to monitor the flow of funds; 3. Follow platforms such as Lookonchain to obtain real-time intelligence. Recently, Cangming Money is planning to re-polize LRT track, DePIN project, modular ecosystem and RWA protocol. For example, a certain LRT protocol has obtained a large amount of early deposits, a certain DePIN project has been accumulated continuously, a certain game public chain has been supported by the industry treasury, and a certain RWA protocol has attracted institutions to enter.

Reading JSON files can be implemented in Python through the json module. The specific steps are: use the open() function to open the file, use json.load() to load the content, and the data will be returned in a dictionary or list form; if you process JSON strings, you should use json.loads(). Common problems include file path errors, incorrect JSON format, encoding problems and data type conversion differences. Pay attention to path accuracy, format legality, encoding settings, and mapping of boolean values and null.

DAI is suitable for users who attach importance to the concept of decentralization, actively participate in the DeFi ecosystem, need cross-chain asset liquidity, and pursue asset transparency and autonomy. 1. Supporters of the decentralization concept trust smart contracts and community governance; 2. DeFi users can be used for lending, pledge, and liquidity mining; 3. Cross-chain users can achieve flexible transfer of multi-chain assets; 4. Governance participants can influence system decisions through voting. Its main scenarios include decentralized lending, asset hedging, liquidity mining, cross-border payments and community governance. At the same time, it is necessary to pay attention to system risks, mortgage fluctuations risks and technical threshold issues.

There are many ways to traverse strings in Python, depending on the requirements. First, using a for loop, you can directly access characters one by one: s="hello", forcharins:print(char), and each character will be output in turn. Secondly, if you need index information, you can combine the enumerate() function: s="hello", forindex,charinenumerate(s):print(f"Position{index}:{char}"), so as to obtain the characters and their positions at the same time. In addition, list comprehension is suitable for batch processing of characters

In Python, using a for loop with the range() function is a common way to control the number of loops. 1. Use when you know the number of loops or need to access elements by index; 2. Range(stop) from 0 to stop-1, range(start,stop) from start to stop-1, range(start,stop) adds step size; 3. Note that range does not contain the end value, and returns iterable objects instead of lists in Python 3; 4. You can convert to a list through list(range()), and use negative step size in reverse order.

The role of Ethereum smart contract is to realize decentralized, automated and transparent protocol execution. Its core functions include: 1. As the core logic layer of DApp, it supports token issuance, DeFi, NFT and other functions; 2. Automatically execute contracts through code to reduce the risks of human intervention and fraud; 3. Build a DeFi ecosystem so that users can directly conduct financial operations such as lending and transactions; 4. Create and manage digital assets to ensure uniqueness and verifiability; 5. Improve the transparency and security of supply chain and identity verification; 6. Support DAO governance and realize decentralized decision-making.

The method of loading JSON data from URLs in Python is as follows: 1. Use the requests library to initiate a GET request and parse the response; 2. The optional json module cooperates with urllib processing. The specific steps are: first download the data through requests.get(), and use response.json() to convert the format, and check the status code to ensure the successful request; if you need to avoid third-party libraries, you can use urllib.request to combine json.loads() to manually parse it. Frequently asked questions include JSON format errors, connection timeouts, encoding mismatches, etc., which can be solved by setting timeouts, adding headers, or debugging output. The entire process requires that the URL is valid and the server is resounding normally

Is DAI suitable for long-term holding? The answer depends on individual needs and risk preferences. 1. DAI is a decentralized stablecoin, generated by excessive collateral for crypto assets, suitable for users who pursue censorship resistance and transparency; 2. Its stability is slightly inferior to USDC, and may experience slight deansal due to collateral fluctuations; 3. Applicable to lending, pledge and governance scenarios in the DeFi ecosystem; 4. Pay attention to the upgrade and governance risks of MakerDAO system. If you pursue high stability and compliance guarantees, it is recommended to choose USDC; if you attach importance to the concept of decentralization and actively participate in DeFi applications, DAI has long-term value. The combination of the two can also improve the security and flexibility of asset allocation.