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Alibaba AI releases 2025 end crypto market forecast: XRP big pump 600%, Bitcoin hits $150,000?
Alibaba's latest AI model Qwen3-MAX released a prediction for the crypto assets market in November 2025, expecting XRP to achieve a nearly 600% rise to the range of 10-15 dollars by the end of the year, Bitcoin may break 150,000 dollars, and Ethereum is expected to reach a high of 15,000 dollars.
At the time of these predictions, the Federal Reserve had just implemented a 25 basis point rate cut, but the crypto market is still in a deep correction phase, with Bitcoin once dipping to $93,000. Analysts point out that the AI model is based on a comprehensive assessment of historical cycle patterns, regulatory progress, and technical indicators, but the actual trend still needs to pay attention to key variables such as spot ETF approvals, global regulatory policies, and institutional capital flows.
Alibaba AI Prediction Model Methodology and Market Background
Alibaba Qwen3-MAX, as the next-generation large language model benchmarked against ChatGPT, makes predictions based on a comprehensive learning of historical price data, on-chain indicators, regulatory dynamics, and the macroeconomic environment. The model training covers three complete market cycles from 2017 to the present, with a particular emphasis on the correlation analysis of the Federal Reserve's policy shifts, technical breakout signals, and regulatory milestone events.
The current market is in a typical mid-term adjustment phase: Bitcoin has pulled back 26% from its historical high of $126,000 on October 6, and the Fear and Greed Index has dropped to 17, indicating extreme fear. However, derivatives data shows that the open interest remains high at $38 billion, suggesting that institutional participation has not significantly declined. AI assesses that this round of adjustment is similar to the liquidation phases in June 2023 and August 2024, both of which are processes for clearing leverage before breaking out.
Factors Driving the Potential Surge of XRP and Technical Analysis
XRP has become the most eye-catching asset in this prediction, with Alibaba AI expecting it to achieve a rise of 560%-600% before the end of the year. The fundamental support comes from three dimensions: after Ripple made key progress in the lawsuit with the SEC, the launch of the RLUSD stablecoin has built a compliant payment corridor; CEO Brad Garlinghouse's policy lobbying in Washington has included XRP in multiple legislative proposals; although the Canary Capital spot ETF has not yet ignited the market due to government shutdown, its listing on NASDAQ has already set a precedent.
The technical indicators show that XRP has been consolidating in the $2-3.5 range for 16 weeks, with a relative strength index of 47 indicating a healthy state. The high of $3.65 reached in July will become the first breakout target. If mass bank cooperation or cross-border payment pilots are implemented, model calculations suggest that buying pressure may push the market capitalization to exceed $500 billion.
Three Major Crypto Assets Prediction Key Data
Bitcoin as an Institutional Narrative for Value Storage
Bitcoin is positioned as “Digital Gold 2.0” in AI predictions, with models indicating that its $1.9 trillion market cap continues to reinforce its dominance of 57% in the entire crypto market. After the Federal Reserve initiated a rate-cutting cycle, the negative real interest rate environment has made Bitcoin's deflationary attributes more attractive, and the Chicago Mercantile Exchange's Bitcoin futures open interest has risen to $42 billion.
Technical analysis shows that Bitcoin has formed a triple bottom structure around $93,000. If it can recover the 50-day moving average of $105,000, it will initiate a rebound towards the $125,000-$130,000 area. The key catalyst lies in the progress of the U.S. cryptocurrency legislative framework. If the two parties reach a consensus on the digital asset market structure bill before December, institutional allocation demand may push the market capitalization to exceed $2.5 trillion.
The Support Logic of Ethereum's Ecological Fundamentals
The predicted rise of Ethereum is based on solid fundamentals: the annual network fee revenue reaches 9.8 billion USD, the total locked value of Layer 2 exceeds 72 billion USD, and the tokenization scale of Real World Assets has increased by 240% to 85 billion USD. AI models pay special attention to the changes in the staking yield curve after the EIP-7511 upgrade, with the current annualized yield of 4.2% still significantly higher than traditional government bonds.
The technical analysis shows that Ethereum faces strong resistance in the $4000-$4500 range, but if it breaks through the previous high of $4800, it will activate a large amount of programmatic buying. If the Trump administration introduces crypto-friendly policies in December, Ethereum's position as the preferred entry channel for institutions will be further strengthened, and the derivatives market has begun pricing call options above $10,000.
Risk Factors of Predictive Models and Market Validation
Although AI predictions show an optimistic outlook, several risk factors may change the trajectory. On the macroeconomic front, if the U.S. core PCE inflation rebounds to above 3.5%, it may force the Federal Reserve to pause interest rate cuts; on the geopolitical front, escalating U.S.-China trade frictions may suppress risk asset preferences. Within the crypto market, the Bitcoin miner position index indicates increased selling pressure, and the exchange rate of altcoins against Bitcoin remains in a downward channel.
Historical data shows that the accuracy of similar AI predictions within a 3-month time frame is about 65%. It is recommended that investors adopt a dynamic profit-taking strategy: gradually reducing 30% of their positions when XRP breaks above 5 dollars, Bitcoin reaches 130,000 dollars, and Ethereum stands above 8,000 dollars.
As artificial intelligence combines with traditional financial market analysis, we may be standing on the eve of a new predictive paradigm. This forecast from Alibaba's Qwen3-MAX is not only a projection of price trends but also a stress test for the integration of crypto assets into the mainstream financial system. In the cross-validation of algorithms and human wisdom, those investors who can simultaneously harness data rationality and market sentiment may capture excess returns in this potential market movement.