It's a blast! The Tsinghua team's open-source financial K-line big model Kronos can really predict actual market trends! Still relying on metaphysics to guess the rise and fall? Still being confused by messy K-lines? The Tsinghua team directly broke through the deadlock, treating the K-line as the "exclusive language" of the financial market, and trained the world's first open-source basic model specifically for interpreting K-lines - Kronos. It does not rely on speculation, relies on data, and accurately grasps market trends! This model is fully confident, repeatedly trained with massive K-line data from 45+global exchanges, completely abandoning the rough logic of traditional financial forecasting, allowing AI to truly "understand" the underlying laws of market fluctuations, and bid farewell to the mystical trap of "guessing rises and falls". The core gameplay is super hardcore and can be understood by ordinary people. Its logic is simple yet advanced: first, using dedicated tools, the core data of K-line such as opening price, closing price, highest price, and lowest price (OHLCV) are quantified into hierarchical digital tokens that the model can understand; Then use the Transformer big model to deeply learn these "linguistic symbols" and uncover the market patterns hidden in the K-line. In summary, once the model learns the "market language" of K-lines, it can reasonably deduce future trends. It is not just guessing blindly, but the dual support of data and AI! Lightweight and easy to use, even regular graphics cards can run. Unlike other financial models that often require high-end computing power, Kronos has released three open-source versions: mini/small/base, with the lowest threshold: the smallest Kronos mini has only 4.1M parameters and can run smoothly on a regular graphics card without the need for high-end devices, making it easy for beginners to test. What's even more considerate is that the official has also set up an online demo to directly display the forecast results of BTC/USDT trading for the next 24 hours. By pasting historical K-line data, the trend forecast can be quickly output, and even the volatility and probability interval can be calculated clearly, intuitively and easily understood. As can be seen from actual testing, the historical trend is highly consistent with the predicted range. Whether it is for quantitative players to use as strategy references or for trading enthusiasts to study the market, this open-source model is worth a close eye! Direct access to GitHub project: https://(GitHub)/shiyu coder/Kronos (copy to redirect, get all open source resources for free) Previous GitHub Open Source Collection: https://pan. (quark. cn)/s/58863024362d (Unlock more high-quality open source projects)