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BTC Rebound Remains Corrective, HYPE's Main Uptrend Initiates | Invited Analysis

This market analysis provides a technical overview of Bitcoin (BTC) and HYPE, highlighting a continued bearish trend for BTC and a developing bullish wave for HYPE. **Market Overview:** The crypto market remained in a consolidation phase. Bitcoin experienced a rebound from recent lows but is still characterized as a weak, range-bound bounce within an ongoing medium-term bearish trend. The overall structure and trading volume suggest the primary downward trend remains intact. **HYPE Analysis (Bullish):** HYPE is identified as being in Wave III of a bullish impulse pattern, considered its main upward trend. * **Wave Structure:** Wave I peaked on Feb 3rd (+87.73%), followed by a Wave II decline until Feb 24th (-33.35%). The current Wave III began on Feb 24th and has already surpassed the Wave I high, confirming its validity with a maximum gain of 51.76% so far. * **Short-Term Trade:** A successful long position was executed with 1x leverage, yielding an 18.44% profit based on quant model entries/exits and wave analysis. * **Outlook:** The primary III wave trend is ongoing. Price action is currently building a consolidation structure on lower timeframes; a breakout from this range is key for the continuation of the upward move. **Bitcoin Analysis (Bearish):** BTC's activity is framed within a larger corrective pattern. * **Market Structure:** The bounce from the February 6th low (~$60,000) is interpreted as a C-2 wave retracement within a larger C wave correction. A subsequent C-3 wave decline is anticipated. * **Key Level:** A critical support is identified at the lower boundary of the current 4-hour chart consolidation structure, around $66,250. A decisive break below this level could signal the end of the C-2 bounce and the start of the C-3 downtrend. * **Trading Performance:** * A short-term short position (1x leverage) yielded a 2.01% profit. * A medium-term short position, initiated at ~$89,000, remains open with an unrealized profit of approximately 18.17%. * **Outlook & Strategy:** BTC is expected to continue trading within a range of ~$62,500 to ~$74,500. The core trading strategy for BTC is bearish, advocating for selling into strength ("sell the rips"). Two short-selling scenarios are outlined: selling at resistance near $74,500, or selling a breakdown below the $66,250 support. **Risk Disclaimer:** The analysis emphasizes that markets are dynamic and all views, models, and strategies are for informational purposes only, derived from personal technical analysis. They are not investment advice. Investors should exercise caution, as markets are inherently risky.

Odaily星球日报03/16 06:59

BTC Rebound Remains Corrective, HYPE's Main Uptrend Initiates | Invited Analysis

Odaily星球日报03/16 06:59

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

Based on the provided text, here is the English summary: Guo Hangjiang, a 20-year-old senior student at Beijing University of Posts and Telecommunications, developed an AI engine called MiroFish in just 10 days. The project, which generates thousands of unique digital agents with distinct personalities, memories, and behaviors to simulate and predict outcomes in virtual worlds, quickly gained massive attention. It topped GitHub's global trending chart, amassing over 22,000 stars. His work caught the eye of Chinese billionaire Chen Tianqiao, former founder of Shanda Group and an advocate of the "super individual" theory. Impressed by a simple demo video, Chen committed 30 million RMB (approximately $4.1 million USD) to incubate the project, transforming Guo from an intern into a CEO overnight. MiroFish's core functionality involves processing a document (e.g., news, policy draft, novel) to extract entities and relationships into a knowledge graph using GraphRAG. It then spawns autonomous AI agents that can form groups, develop opinions, and exhibit herd mentality. A key feature is the "God's Perspective," allowing users to inject new variables (e.g., "Fed cuts rates by 50 basis points") and observe the simulated world recalibrate in real-time, enabling controlled experiments impossible in reality. The open-source framework, released under AGPL-3.0, utilizes the OASIS simulation engine, Zep Cloud for long-term memory, and is deployable via Docker. Demonstrated use cases include predicting the lost ending of the classic novel "Dream of the Red Chamber" and simulating market reactions to a Federal Reserve interest rate hike. The article notes that while MiroFish is a sophisticated multi-agent framework capable of revealing unforeseen scenarios, it has not published benchmark tests against real-world outcomes, inherits potential biases, and its simulated humans are not real. Chen Tianqio's investment is ultimately a bet on the emerging era of the "super individual."

比推03/16 06:45

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

比推03/16 06:45

Earning $100,000 in 10 Days: An Interview with OpenClaw's Practical Experience in Prediction Markets

In an interview with Odaily Planet Daily, Kevin, a former ERP architect and Web3 investor, shares how he used OpenClaw to generate a profit of approximately $100,000 in just 10 days, turning a $30,000 investment into over $130,000 at its peak (currently around $112,000). Kevin began his crypto journey during the "inscription summer" of 2023, earning his first significant returns from ORDI. He later transitioned to prediction markets, specifically Polymarket, in mid-2025, attracted by its improved liquidity and user experience. Initially, he used self-developed algorithmic strategies for arbitrage, primarily in sports betting markets, doubling a $100,000 investment over several months. Since integrating OpenClaw in late February, Kevin adopted a hybrid approach: 60% of his strategy remains automated arbitrage, while 40% uses OpenClaw for predictive betting. OpenClaw helps gather and analyze factors like smart money movements, public sentiment, team lineups, and player conditions—even identifying new influencing variables. It also automates backtesting, strategy discovery, and execution, making it effective in Polymarket due to its AI-friendly API. While currently focused on sports markets with limited automated capital ($1,000 per test account), Kevin plans to expand into other domains and may later offer paid OpenClaw "Skills" based on his methodology.

Odaily星球日报03/16 06:25

Earning $100,000 in 10 Days: An Interview with OpenClaw's Practical Experience in Prediction Markets

Odaily星球日报03/16 06:25

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