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    stock market analysis

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    Generates research-backed stock and market reports that explain price action through news, earnings, and macro events.

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    stock market analysis

    stock market analysis

    Example session with this skill installed

    /stock-market-analysis "Give me a 6-month analysis of Tesla." (longer time frame, tests fundamentals/technicals/macro inclusion)

    • Read your context and instructions
    • Compiled the stock market analysis

    Tesla (TSLA) — 6-Month Analysis (March 10 – September 10, 2026)

    Snapshot

    TSLA enters September 2026 at roughly $368, essentially flat to modestly lower over six months — but that number hides one of Tesla's most volatile stretches in years: a spring rally toward $450+, a brutal Q2-earnings crash to the high $290s in late July, and a choppy recovery back into the $350s–$370s by September, punctuated by another selloff around the Cybercab robotaxi launch.

    Chart

    The chart above traces the round trip: ~$380 in March → ~$451 by mid-May → back down to ~$380-395 in June → a rally to ~$425 by early July → a ~15% one-day earnings-driven crash to ~$320 on July 23 → a bottom near $298 on July 29 → recovery through August into the mid-$360s → a dip to ~$354 on the Cybercab launch reaction (Sept 4) → close to $368 by September 9-10.

    Timeline of key events

    March 9, 2026 — A closely watched NHTSA regulatory deadline concerning Tesla's autonomous-driving systems arrived, adding uncertainty heading into spring.

    April 2, 2026 — Tesla reported Q1 2026 deliveries of 358,023 vehicles, missing the roughly 365,000-372,000 analyst consensus; shares fell over 4% on the release.

    April 22, 2026 — Q1 earnings beat expectations: EPS of $0.41 vs. $0.34 estimated, gross margin of 21.1% vs. 17.7% estimated, and revenue of $22.4B — helping the stock stabilize and later rally.

    Mid-May 2026 — TSLA rallied sharply, touching the $450 area (UBS raised its target from $352 to $364 on May 13 even as shares traded near $451 that day), reflecting optimism around Tesla's robotaxi and AI narrative.

    • June 2026 — Momentum faded; shares slid back to the high-$370s/low-$390s by late June as enthusiasm cooled.
    • July 1–10, 2026 — A short-lived rally pushed shares back to around $420-427 ahead of Q2 earnings.

    July 22-23, 2026 — Q2 earnings crash — Tesla posted record Q2 deliveries (480,126) and record revenue ($28.24B, +25.5% YoY), but adjusted EPS of $0.33 badly missed the ~$0.53-0.54 consensus. Operating margin collapsed to 1.4% (from 4.1% a year earlier) and free cash flow turned negative (-$1.09B) as AI/robotics capex surged 142%. Shares fell roughly 14-15% on July 23, their worst day in over a year, erasing about $18B from Elon Musk's net worth and prompting price-target cuts from JPMorgan, Cantor Fitzgerald, and Mizuho.

    • July 29, 2026 — Shares bottomed near $298, roughly 30% below the May highs.

    August 2026 — A steady grind higher as the selloff stabilized, with shares climbing from the low-$300s back to the high-$360s by month-end.

    September 3-4, 2026 — Cybercab launch — Tesla formally launched its steering-wheel-free, two-seat Cybercab robotaxi in Austin. Despite the milestone, several analysts called the rollout underwhelming relative to expectations; shares fell about 6% on September 4 as GLJ Research reiterated a $25 price target and J.P. Morgan issued a Hold. Goldman Sachs, by contrast, struck a bullish note.

    September 8, 2026 — Reuters reported Slovenia approved Tesla's FSD (Supervised) ahead of a broader EU vote, and shares rebounded nearly 4% to $368.

    What happened

    TSLA's six-month journey was a wide, volatile round trip rather than a clean trend: roughly +18% from March lows to May highs, then a ~34% peak-to-trough decline into late July, followed by a ~23% recovery off the July bottom into September. Trading volume spiked dramatically around both earnings reports and the Cybercab event — the July 23 session alone saw about 114 million shares change hands, more than double the recent daily average. The stock is trading below its 200-day moving average and in the middle of its 52-week range ($297–$499).

    Why it happened

    The dominant driver was the widening gap between Tesla's growth story and its profitability. Deliveries and revenue kept growing — Q2 marked a record 480,126 deliveries and $28.24B in revenue — but margins compressed sharply as Tesla poured cash into AI, robotics (Optimus), and robotaxi infrastructure, cutting operating margin to just 1.4% and pushing free cash flow negative. That combination triggered the steep July selloff: investors rewarded the top-line growth less than they punished the erosion in profitability and cash generation. The spring rally and the September dip both trace to the same underlying tension — each Cybercab/robotaxi milestone briefly reignites the "Tesla as an AI company" bull case, but when the on-the-ground reality (limited fleet scale, mixed pricing execution, ongoing regulatory scrutiny) falls short of the hype, shares give the gains back quickly.

    Fundamentals

    • Q1 2026: 358,023 deliveries (missed ~365-372K consensus); revenue $22.4B; adjusted EPS $0.41 (beat).

    Q2 2026: Record 480,126 deliveries and $28.24B revenue (+25.5% YoY), but adjusted EPS of $0.33 missed the ~$0.53-0.54 estimate; operating margin fell to 1.4%; free cash flow was -$1.09B as capex jumped 142% to $5.79B.

    • Valuation remains extremely rich by traditional-automaker standards — P/E in the 340x+ range as of early September, reflecting the market's continued pricing of Tesla as an AI/robotics story rather than a pure automaker.
    • Next earnings are expected around October 20, 2026.

    Technicals

    TSLA is currently trading below its 200-day moving average and roughly in the middle of its 52-week range ($297.38–$498.83), having round-tripped from the range highs (mid-May) to just above the range lows (late July) and back toward the middle. The July 23 gap-down and the subsequent basing action in the $298–$330 zone through early August functioned as a near-term support shelf; the $360–$370 area has acted as resistance/consolidation into September.

    Market & sector context

    The broader market backdrop was generally supportive — U.S. equities pushed toward record territory over the summer on AI-driven enthusiasm and expectations of Federal Reserve rate cuts, even amid periodic noise from a government shutdown and tariff-related headlines. Against that relatively calm macro tape, Tesla's swings were overwhelmingly company-specific (earnings, deliveries, Cybercab execution) rather than macro-driven, meaning TSLA notably underperformed a steadily-grinding-higher S&P 500 and Nasdaq over the period, especially after the July earnings miss.

    Sentiment

    Wall Street remains split. As of early September, the 25-analyst consensus on Benzinga's tracker was a "Buy" with an average price target near $408 (about 15-16% above the post-Cybercab price), built on 14 Buy, 9 Hold, and 2 Sell ratings. Bulls like Piper Sandler ($500 target) and StoneX ($475) point to Tesla's broader "17 business lines" and robotaxi/Optimus optionality; bears like GLJ Research (a $25 target) and a cautious Barclays ($360, Hold) emphasize deteriorating core auto margins and valuation risk. The Cybercab launch drew a genuinely mixed reaction — some outlets called it a "bust," while Goldman Sachs turned more constructive afterward.

    Risks & what to watch

    Q3 2026 earnings (~October 20) will be the next major catalyst — investors will be watching whether margin pressure persists or the Cybercab ramp starts showing up in numbers.

    Cybercab scale-up and regulatory approvals (e.g., the recent Slovenia FSD approval, pending EU-wide review) could move sentiment quickly in either direction.

    NHTSA and other U.S. regulatory scrutiny of the steering-wheel-free Cybercab remains an overhang given the vehicle's lack of manual controls.

    • Valuation risk: at a triple-digit P/E, TSLA remains highly sensitive to any further margin disappointment.

    Macro: Fed policy path and any renewed volatility in AI-related mega-cap names could spill over into TSLA given its high-beta profile.

    Bottom line

    Tesla's past six months were defined less by a clear trend and more by extreme swings around a handful of hard catalysts: a Q1 delivery miss, a Q1 earnings beat, a speculative May rally, a severe Q2 earnings-driven crash tied to collapsing margins and negative free cash flow, and a mixed-reception Cybercab robotaxi launch in September. Net-net, shares are roughly flat to slightly lower than where they started in March, but investors who held through the period experienced a ~34% drawdown and a ~23% rebound along the way. The stock remains a battleground between bulls betting on Tesla's AI/robotaxi/Optimus optionality and bears focused on eroding core profitability — this isn't investment advice, just where the data and the debate currently stand.

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    What you get

    Analyze a stock's 24-hour price action and immediate news catalysts.Synthesize 12 months of earnings and macro drivers into a research note.Visualize price trends with data-sourced line charts for any ticker.Evaluate company performance against sector peers and benchmark indices.

    About this skill

    The problem

    General-purpose agents often provide surface-level market summaries that lack causal depth. They struggle to distinguish between short-term noise and long-term structural trends, failing to connect specific news catalysts to price action.

    What it does

    • Resolves companies and indices to primary tickers and calculates precise relative time frames.
    • Conducts multi-angle research including earnings data, analyst rating changes, and institutional activity.
    • Generates data-driven line charts to visualize price paths over the requested period.
    • Produces structured analytical reports that explain the "why" behind the "what," linking news to specific market mechanisms.
    • Contextualizes performance against sector peers and macro events like Fed decisions or inflation prints.
    • Adapts report depth based on the time window, shifting from intraday volume analysis to long-term valuation trends.

    Why this beats prompting it yourself

    This skill eliminates the need to manually verify date ranges or prompt for specific financial metrics. It forces the agent to move past generic commentary by requiring specific causal links and peer comparisons that simple prompts often miss.

    Use cases

    • Explain a sudden intraday price drop or spike for a specific ticker.
    • Summarize a company's performance and news flow over a full fiscal year.
    • Compare an ETF's performance to its benchmark during a period of high volatility.
    • Prepare a briefing on how macro events impacted a specific sector over the last quarter.

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