### PORT3 Token Technical Analysis: Using LL model to evaluate buy/sell points Based on the analysis framework of large language models (LLM, such as Grok), I integrated real-time market data (from platforms such as CoinMarketCap, CoinGecko, TradingView, etc. as of November 10, 2025), technical indicators, historical price patterns, and market sentiment for evaluation. LLM analysis methods include: - Data input: Price OHLC (Open, High, Low, Close), volume, moving averages (MA), relative strength index (RSI), MACD and other indicators. - Model inference: using time series pattern recognition (similar to ARIMA/LSTM simulation), sentiment quantification (extraction from discussions and news) and support/resistance level calculations. LLM weight allocation: technical indicators 50%, sentiment/volume 30%, fundamentals (like ecological growth) 20%.
1. OI has surged significantly, the number of long positions at the bottom has increased dramatically 2. Spot trading volume has increased 3. There is news of a "second" financing of 40 million + a potential establishment of a DAT treasury 4. Twitter sentiment is starting to ferment (possibly buying traffic) 5. The current general perception is that 1.2-1.3 is the bottom, the cost for the whales is below 0.3 or even lower 6. The funding rate for one hour is positive
I am thinking that once the stablecoin issuance bill passes, it will drive massive liquidity in the blockchain world.
It will definitely be issued and circulated on public blockchains (ETH, Solana).
The large circulation of stablecoins will drive DeFi-related applications (ETH: Uniswap, MakerDAO, Aave, Curve Finance../ Solana: Jupiter)
The increase in usage and trading volume will significantly enhance, along with cross-chain applications. This segment of blockchain finance is very interesting and full of diverse innovations.
Blockchain transactions will become a mainstream financial application platform in the world.
And it will push up blockchain assets, the appreciation of blockchain assets, which will lead to an increase in the market value of US-listed companies holding blockchain assets.
This feels a bit like the old DeFi stacking game.
In the end, blockchain finance will acquire traditional finance, or traditional finance will acquire blockchain finance.
The integration of blockchain and traditional finance is complete, and we can call it a day!
The Unpopular Opinion Many believe every AI agent needs its own token, but I disagree. Crypto is the currency for AI, but not every agent requires its own token. AI agents can simply charge fees in existing cryptocurrencies, BNB for example. Tokens should only be introduced after achieving scale and proving utility. Tokens Are a Distraction Tokens often distract founders from building real products. Managing a token demands significant time and diverts focus from user experience. Web3 games made this mistake by prioritizing tokenomics over gameplay—and AI agents risk falling into the same trap. Scale First, Then Consider Tokens Before launching a token, an AI agent should achieve scale by demonstrating clear value. True utility means users genuinely need and use the service. Consider an AI agent that launches meme tokens—it doesn't need its own token when users can pay in the native chain token. Adding another token just creates unnecessary complexity. The Reality of Tokenization While tokens enable fundraising, most AI agents don't need large capital for development. Too often, tokens become a vehicle for founders to cash out early—benefiting them at users' expense. Conclusion Build first, tokenize later—if at all. AI agents should focus on adoption, usability, and real value before considering tokenomics. A token isn't a path to success—the best AI agents will succeed because they provide genuine value, not because they have a token attached.
In the past, Binance was the starting point, now it is the endpoint
Yi He
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Some clarifications and reflections on Labs
1. The relationship between Labs and Binance 1. Binance labs has been renamed as Yzi labs and operates independently. Ella Zhang is the person in charge and CZ directly manages Labs. Currently, there are thousands of projects invested in, and only a very small percentage of the projects are listed on Binance. From the first day of the establishment of Labs, these are two completely independent teams, making independent decisions. 2. The coins listed on Binance are isolated by layers of firewalls, but one thing that is undeniable is that if Binance is willing to give a certain amount of coins as airdrops to users, it will serve as a reference indicator. 3. Labs staff and public investment project information, as well as the names of other investors in the market. Investment information is basically public information in the market. If there is a record of bribery, we welcome evidence and public supervision. If any Binance or Binance-related employee asks for money, shares, or tokens from any project or partner, we will definitely send them to jail and ruin their reputation.
Xdog is an upcoming blockchain game that will bring players a new gaming experience. Xdog is a game based on blockchain technology, which will provide players with a more secure, fair and transparent gaming environment. The gameplay of Xdog is very interesting. Players can collect, train, and trade various cute dogs in the game, and can also participate in various interesting activities and challenges. Xdog's game graphics are exquisite and the sound effects are lifelike. Players can enjoy the best audio-visual experience in the game. If you want to know more about Xdog, you can follow our official website and social media accounts, and we will provide you with the latest news and developments as soon as possible. Official website: www.xdog.tech Official recommendation: x.com/comsats_io/status/1741833108947915121?s=09