UBER
AI Execution Plan
Q4 earnings mixed: Revenue $14.37B beat est $14.32B (+20% YoY), Adj EPS $0.71 miss $0.78; Gross bookings $54.1B (+22% YoY); Q1 guidance Gross bookings $52B+; CFO transition announced; Stock dropped ~6% post-earnings amid EPS miss and outlook concerns.
Strong Sell overall. Daily timeframe: All moving averages (MA5 76.05 Sell, MA10 77.49 Sell, MA20 79.09 Sell, up to MA200 82.69 Sell). Indicators: RSI(14) 34.47 Sell (nearing oversold), MACD(12,26) -1.5 Sell, STOCH(9,6) 45.64 Neutral, most others Sell; High volatility (ATR 1.33).
3-Month AI Outlook
Positive; Analyst avg target $109 (+48% upside); Strong revenue/bookings growth, AV partnerships (Waymo, NVDA), path to profitability despite short-term earnings volatility.
Option Chain
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Earnings History: UBER
Uber Reports Strong Q2 2025 Financial Results
Aug 6, 2025In the second quarter of 2025, Uber Technologies, Inc. reported revenue of $12.7 billion, a year-over-year increase of 18%. The company achieved a net income of $1.4 billion, reflecting a 33% rise compared to the same period last year. Earnings per share (EPS) for this quarter were $0.65. Additionally, Uber's gross bookings grew to $46.8 billion, up 17% compared to Q2 2024. The company facilitated 3.3 billion trips during the quarter, marking an 18% increase year-over-year. Monthly Active Platform Consumers (MAPCs) also rose by 15% to 180 million. Uber reported a significant increase in income from operations, which grew 82% to $1.5 billion. The adjusted EBITDA for the quarter reached $2.1 billion, representing a 35% increase from the previous year. At the end of the quarter, Uber had $7.4 billion in unrestricted cash, cash equivalents, and short-term investments. A new share repurchase program was authorized, allowing for the buyback of up to $20 billion of common stock, signaling the company's confidence in its ongoing performance.
Strategy Overview
Jason Wheel is a systematic, AI‑enhanced trading framework built on probability theory and volatility‑based edge extraction. Designed for the US options market, the system focuses on constructing high‑probability Credit Spread strategies that capture Theta decay while maintaining strict quantitative risk controls to mitigate tail events and support long‑term, stable capital growth.
Rather than relying on directional speculation, the system operates as a closed‑loop asset engine integrating: Macro Risk Control, Multi-dimensional Quantitative Screening, AI-Assisted Decision Making, and Dynamic Position Management.
This architecture enables consistent, rules‑driven execution with an emphasis on risk‑adjusted returns.
Connect with Jason
- Substack: jasonwheel.substack.com
- Email: [email protected]