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UBER TECHNOLOGIES INC CEDEAR EACH 2 REPR 1 COMUBER TECHNOLOGIES INC CEDEAR EACH 2 REPR 1 COMUBER TECHNOLOGIES INC CEDEAR EACH 2 REPR 1 COM

UBER TECHNOLOGIES INC CEDEAR EACH 2 REPR 1 COM

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Uber (UBER, 1W) Tightening Structure Ready for BreakoutOn the weekly chart, UBER has formed a strong ascending wedge / tightening channel, showing clear higher lows and repeated rejections near upper resistance. The price is now approaching the apex of the pattern, with a possible breakout setup above $82.42. If confirmed, the projected measured move (H = $27.67) aligns with Fibonacci extension targets at: – $89.86 (1.272) – $93.74 (1.414) – $99.32 (1.618) Technical structure: – Price held support twice, confirming bullish intent – Structure tightening — breakout likely on sustained volume – Bullish divergence forming on the weekly stochastic oscillator – A breakout above $82.42 activates the next impulse wave – Volume is stable, with no signs of heavy distribution Fundamentals: Uber has reached a major financial milestone: consistent profitability and positive EBITDA growth. The company continues to expand across mobility and delivery, with a focus on cost efficiency, platform monetization, and retention. Increased user activity and growing institutional interest support a bullish mid-term thesis. Uber is increasingly seen as a core holding in next-gen tech and services portfolios. The technical structure is approaching resolution. A confirmed breakout above $82.42 opens the door for a move to $89.86 → $93.74 → $99.32. With bullish structure and improving fundamentals, Uber is positioned for the next leg higher. This is a setup worth watching.
NYSE:UBERLong
by TotoshkaTrades
2
$UBER looks like a bargain to me in FY 2025. PT $95-104- Uber's capital-light business model has been a major boon to their growth and global expansion efforts, whereas robotaxi will be capital extensive. - The biggest worry regarding robotaxi implementation is the up-front capital required to get the required vehicle fleet on the road, and the years it may take to get the operations running efficiently. However, I don't think that the fear of robotaxi is overblown, as it is simply not a suitable business model in comparison to Uber's current infrastructure. - I don't believe robotaxi fears will have materialistic impact on Ubers financials for years to come. Therefore, NYSE:UBER is a strong buy for me and I am comfortable in holding this stock and adding more if it dips.
NYSE:UBERLong
by bigbull037
UBER - buy low , sell highhi traders we are analysing the weekly chart of Uber Technologies Inc. (NYSE:UBER), where we observe a significant technical structure forming. We see the price moving within an ascending channel, indicating this macro uptrend. Currently, the price has reached the upper boundary of the channel, at $91 and we expect to see a potential rejection here. The projected pattern on the chart shows a possible pullback which I have indicated. Enter a long position when the price reaches the upsloping trendline (bottom of the channel) Target: The upper boundary of the channel . Stop loss: $60
NYSE:UBERLong
by vf_investment
Why Your EMA Isn't What You Think It IsMany new traders adopt the Exponential Moving Average (EMA) believing it's simply a "better Simple Moving Average (SMA)". This common misconception leads to fundamental misunderstandings about how EMA works and when to use it. EMA and SMA differ at their core. SMA use a window of finite number of data points, giving equal weight to each data point in the calculation period. This makes SMA a Finite Impulse Response (FIR) filter in signal processing terms. Remember that FIR means that "all that we need is the 'period' number of data points" to calculate the filter value. Anything beyond the given period is not relevant to FIR filters – much like how a security camera with 14-day storage automatically overwrites older footage, making last month's activity completely invisible regardless of how important it might have been. EMA, however, is an Infinite Impulse Response (IIR) filter. It uses ALL historical data, with each past price having a diminishing - but never zero - influence on the calculated value. This creates an EMA response that extends infinitely into the past—not just for the last N periods. IIR filters cannot be precise if we give them only a 'period' number of data to work on - they will be off-target significantly due to lack of context, like trying to understand Game of Thrones by watching only the final season and wondering why everyone's so upset about that dragon lady going full pyromaniac. If we only consider a number of data points equal to the EMA's period, we are capturing no more than 86.5% of the total weight of the EMA calculation. Relying on he period window alone (the warm-up period) will provide only 1 - (1 / e^2) weights, which is approximately 1−0.1353 = 0.8647 = 86.5%. That's like claiming you've read a book when you've skipped the first few chapters – technically, you got most of it, but you probably miss some crucial early context. ▶️ What is period in EMA used for? What does a period parameter really mean for EMA? When we select a 15-period EMA, we're not selecting a window of 15 data points as with an SMA. Instead, we are using that number to calculate a decay factor (α) that determines how quickly older data loses influence in EMA result. Every trader knows EMA calculation: α = 1 / (1+period) – or at least every trader claims to know this while secretly checking the formula when they need it. Thinking in terms of "period" seriously restricts EMA. The α parameter can be - should be! - any value between 0.0 and 1.0, offering infinite tuning possibilities of the indicator. When we limit ourselves to whole-number periods that we use in FIR indicators, we can only access a small subset of possible IIR calculations – it's like having access to the entire RGB color spectrum with 16.7 million possible colors but stubbornly sticking to the 8 basic crayons in a child's first art set because the coloring book only mentioned those by name. For example: Period 10 → alpha = 0.1818 Period 11 → alpha = 0.1667 What about wanting an alpha of 0.17, which might yield superior returns in your strategy that uses EMA? No whole-number period can provide this! Direct α parameterization offers more precision, much like how an analog tuner lets you find the perfect radio frequency while digital presets force you to choose only from predetermined stations, potentially missing the clearest signal sitting right between channels. Sidenote: the choice of α = 1 / (1+period) is just a convention from 1970s, probably started by J. Welles Wilder, who popularized the use of the 14-day EMA. It was designed to create an approximate equivalence between EMA and SMA over the same number of periods, even thought SMA needs a period window (as it is FIR filter) and EMA doesn't. In reality, the decay factor α in EMA should be allowed any valye between 0.0 and 1.0, not just some discrete values derived from an integer-based period! Algorithmic systems should find the best α decay for EMA directly, allowing the system to fine-tune at will and not through conversion of integer period to float α decay – though this might put a few traditionalist traders into early retirement. Well, to prevent that, most traditionalist implementations of EMA only use period and no alpha at all. Heaven forbid we disturb people who print their charts on paper, draw trendlines with rulers, and insist the market "feels different" since computers do algotrading! ▶️ Calculating EMAs Efficiently The standard textbook formula for EMA is: EMA = CurrentPrice × alpha + PreviousEMA × (1 - alpha) But did you know that a more efficient version exists, once you apply a tiny bit of high school algebra: EMA = alpha × (CurrentPrice - PreviousEMA) + PreviousEMA The first one requires three operations: 2 multiplications + 1 addition. The second one also requires three ops: 1 multiplication + 1 addition + 1 subtraction. That's pathetic, you say? Not worth implementing? In most computational models, multiplications cost much more than additions/subtractions – much like how ordering dessert costs more than asking for a water refill at restaurants. Relative CPU cost of float operations : Addition/Subtraction: ~1 cycle Multiplication: ~5 cycles (depending on precision and architecture) Now you see the difference? 2 * 5 + 1 = 11 against 5 + 1 + 1 = 7. That is ≈ 36.36% efficiency gain just by swapping formulas around! And making your high school math teacher proud enough to finally put your test on the refrigerator. ▶️ The Warmup Problem: how to start the EMA sequence right How do we calculate the first EMA value when there's no previous EMA available? Let's see some possible options used throughout the history: Start with zero : EMA(0) = 0. This creates stupidly large distortion until enough bars pass for the horrible effect to diminish – like starting a trading account with zero balance but backdating a year of missed trades, then watching your balance struggle to climb out of a phantom debt for months. Start with first price : EMA(0) = first price. This is better than starting with zero, but still causes initial distortion that will be extra-bad if the first price is an outlier – like forming your entire opinion of a stock based solely on its IPO day price, then wondering why your model is tanking for weeks afterward. Use SMA for warmup : This is the tradition from the pencil-and-paper era of technical analysis – when calculators were luxury items and "algorithmic trading" meant your broker had neat handwriting. We first calculate an SMA over the initial period, then kickstart the EMA with this average value. It's widely used due to tradition, not merit, creating a mathematical Frankenstein that uses an FIR filter (SMA) during the initial period before abruptly switching to an IIR filter (EMA). This methodology is so aesthetically offensive (abrupt kink on the transition from SMA to EMA) that charting platforms hide these early values entirely, pretending EMA simply doesn't exist until the warmup period passes – the technical analysis equivalent of sweeping dust under the rug. Use WMA for warmup : This one was never popular because it is harder to calculate with a pencil - compared to using simple SMA for warmup. Weighted Moving Average provides a much better approximation of a starting value as its linear descending profile is much closer to the EMA's decay profile. These methods all share one problem: they produce inaccurate initial values that traders often hide or discard, much like how hedge funds conveniently report awesome performance "since strategy inception" only after their disastrous first quarter has been surgically removed from the track record. ▶️ A Better Way to start EMA: Decaying compensation Think of it this way: An ideal EMA uses an infinite history of prices, but we only have data starting from a specific point. This creates a problem - our EMA starts with an incorrect assumption that all previous prices were all zero, all close, or all average – like trying to write someone's biography but only having information about their life since last Tuesday. But there is a better way. It requires more than high school math comprehension and is more computationally intensive, but is mathematically correct and numerically stable. This approach involves compensating calculated EMA values for the "phantom data" that would have existed before our first price point. Here's how phantom data compensation works: We start our normal EMA calculation: EMA_today = EMA_yesterday + α × (Price_today - EMA_yesterday) But we add a correction factor that adjusts for the missing history: Correction = 1 at the start Correction = Correction × (1-α) after each calculation We then apply this correction: True_EMA = Raw_EMA / (1-Correction) This correction factor starts at 1 (full compensation effect) and gets exponentially smaller with each new price bar. After enough data points, the correction becomes so small (i.e., below 0.0000000001) that we can stop applying it as it is no longer relevant. Let's see how this works in practice: For the first price bar: Raw_EMA = 0 Correction = 1 True_EMA = Price (since 0 ÷ (1-1) is undefined, we use the first price) For the second price bar: Raw_EMA = α × (Price_2 - 0) + 0 = α × Price_2 Correction = 1 × (1-α) = (1-α) True_EMA = α × Price_2 ÷ (1-(1-α)) = Price_2 For the third price bar: Raw_EMA updates using the standard formula Correction = (1-α) × (1-α) = (1-α)² True_EMA = Raw_EMA ÷ (1-(1-α)²) With each new price, the correction factor shrinks exponentially. After about -log₁₀(1e-10)/log₁₀(1-α) bars, the correction becomes negligible, and our EMA calculation matches what we would get if we had infinite historical data. This approach provides accurate EMA values from the very first calculation. There's no need to use SMA for warmup or discard early values before output converges - EMA is mathematically correct from first value, ready to party without the awkward warmup phase. Here is Pine Script 6 implementation of EMA that can take alpha parameter directly (or period if desired), returns valid values from the start, is resilient to dirty input values, uses decaying compensator instead of SMA, and uses the least amount of computational cycles possible. // Enhanced EMA function with proper initialization and efficient calculation ema(series float source, simple int period=0, simple float alpha=0)=> // Input validation - one of alpha or period must be provided if alpha<=0 and period<=0 runtime.error("Alpha or period must be provided") // Calculate alpha from period if alpha not directly specified float a = alpha > 0 ? alpha : 2.0 / math.max(period, 1) // Initialize variables for EMA calculation var float ema = na // Stores raw EMA value var float result = na // Stores final corrected EMA var float e = 1.0 // Decay compensation factor var bool warmup = true // Flag for warmup phase if not na(source) if na(ema) // First value case - initialize EMA to zero // (we'll correct this immediately with the compensation) ema := 0 result := source else // Standard EMA calculation (optimized formula) ema := a * (source - ema) + ema if warmup // During warmup phase, apply decay compensation e *= (1-a) // Update decay factor float c = 1.0 / (1.0 - e) // Calculate correction multiplier result := c * ema // Apply correction // Stop warmup phase when correction becomes negligible if e <= 1e-10 warmup := false else // After warmup, EMA operates without correction result := ema result // Return the properly compensated EMA value ▶️ CONCLUSION EMA isn't just a "better SMA"—it is a fundamentally different tool, like how a submarine differs from a sailboat – both float, but the similarities end there. EMA responds to inputs differently, weighs historical data differently, and requires different initialization techniques. By understanding these differences, traders can make more informed decisions about when and how to use EMA in trading strategies. And as EMA is embedded in so many other complex and compound indicators and strategies, if system uses tainted and inferior EMA calculatiomn, it is doing a disservice to all derivative indicators too – like building a skyscraper on a foundation of Jell-O. The next time you add an EMA to your chart, remember: you're not just looking at a "faster moving average." You're using an INFINITE IMPULSE RESPONSE filter that carries the echo of all previous price actions, properly weighted to help make better trading decisions. EMA done right might significantly improve the quality of all signals, strategies, and trades that rely on EMA somewhere deep in its algorithmic bowels – proving once again that math skills are indeed useful after high school, no matter what your guidance counselor told you.
NYSE:UBEREducation
by mihakralj
Uber ResistanceIn Q1 2025, Uber reported earnings per share of $0.83, a significant improvement from a loss of $0.32 in the same quarter last year. Revenue increased by 14% year-over-year to $11.5 billion . Investor's Business Daily Recently, Uber announced a $1 billion offering of senior notes exchangeable for shares of Aurora Innovation, a move that impacted Aurora's stock price . Additionally, Uber introduced new services like Route Share and expanded membership passes to enhance affordability and attract more users . Analysts, including Evercore ISI, maintain an "Outperform" rating on Uber, with a price target of $115, reflecting confidence in the company's growth prospects . Investor's Business Daily
NYSE:UBER
by Hobite
Uber at the Edge: Technical Signals Flash Warning as Price TestsUber Technologies (UBER) has been consolidating in a broad range and is now testing a major breakout above a significant resistance zone around the $81–$85 level, which historically capped price in early 2024. 1. Resistance Zone Uber is pressing up against a multi-year resistance zone (~$83–$85). Last breakout attempt (Feb–Mar 2024) resulted in a sharp rejection, forming a double-top structure. 2. Volume Volume on this breakout is not significantly higher than previous sessions. Lack of strong volume confirmation is a yellow flag — bullish breakouts need conviction. 3. RSI (Relative Strength Index) – 4H: 73.91 Overbought territory (>70). This is not sustainable for long without a cooling-off. Bearish divergence alert: If UBER makes a higher high while RSI starts to slope downward, that would be a classic top signal. 4 MACD MACD line is still rising, but very close to prior highs seen during failed breakouts. The histogram shows momentum fading — peaks are lower despite price pushing to the high end of the range. Potential bearish crossover incoming on further weakness. 5. Fibonacci Retracement From the 2021 high to the 2022 low, the current price is pressing near the 78.6% retracement (~$85 area) — a classic reversal zone for tops. Also aligns with prior horizontal resistance — confluence adds weight to this level being a potential top. 6. Sentiment Sentiment around Uber has been improving — profitability inflection point, bullish news, positive guidance. However, extreme optimism often accompanies tops. If everyone is bullish, who's left to buy? Conclusion: A Probable Short-Term Top Forming We now have RSI overbought, MACD momentum fading, no volume confirmation, and price pushing into a multi-year resistance cluster — this screams risk of a reversal. This is a high-probability short setup for traders, especially if: Price fails to close above $86.00 convincingly RSI starts to diverge lower MACD crosses down A pullback to $75–78 is very likely on rejection.
NYSE:UBER
by BenRoses
Is Uber a good buy at the current price? Here is whyHello, Here is our outlook on Uber Technologies. Uber Technologies, Inc provides a platform that allows users to access transportation and food ordering services. The Company operates through two segments: Core Platform and Other Bets. The Core Platform segment consists of Ridesharing and Uber Eats. The Other bets segment consists of Uber Freight and New Mobility platforms. Ridesharing refers to products that connects consumers with drivers who provide rides in a variety of vehicles, such as cars, auto rickshaws, motorbikes, minibuses and taxis. Its Uber Eats platform allows consumers to search for and discover local restaurants and order meals through online. TECHNICAL ANALYSIS- Checklist Structure drawing (Trend line drawing on past price chart data) Patterns identification (Naming patterns on past price chart data for future wave)- A correction forming. Price is at the bottom of the corrective wave. Future indication (Reading indicator for future wave)- Await zero crossover on MACD Future wave (Drawing on future price chart using future indication from indicator)- As shown in chart Future reversal point (Identifying trend reversal point on price chart using structure)- Target at $100 per share Uber Technologies, Inc. financial performance for Q3 2024 and the nine months ended September 30, 2024. Total Revenue: $11,188 million for Q3 2024, $32,019 million for the nine months ended September 30, 2024. Income from Operations: $1,061 million for Q3 2024, $2,029 million for the nine months ended September 30, 2024. Net Income including Non-Controlling Interests: $2,599 million for Q3 2024, $2,944 million for the nine months ended September 30, 2024. Net Income Attributable to Uber Technologies, Inc.: $2,612 million for Q3 2024, $2,973 million for the nine months ended September 30, 2024. Basic Net Income per Share Attributable to Uber Technologies, Inc. Common Stockholders: $1.24 for Q3 2024, $1.42 for the nine months ended September 30, 2024. Diluted Net Income per Share Attributable to Uber Technologies, Inc. Common Stockholders: $1.20 for Q3 2024, $1.36 for the nine months ended September 30, 2024. Revenue from the United States and Canada was $17,304 million, Latin America was $2,068 million, Europe, Middle East, and Africa was $8,939 million, and Asia Pacific was $3,708 million for the nine months ended September 30, 2024. Uber announced the pending acquisition of Foodpanda Taiwan from Delivery Hero SE for approximately $950 million in cash, expected to close in the first half of 2025. Beginning in early 2025, Waymo and Uber will bring autonomous ride-hailing to Austin and Atlanta, only on the Uber app. In these cities, Uber will manage and dispatch a fleet of Waymo’s fully autonomous, all-electric Jaguar I-PACE vehicles that will grow to hundreds over time. You can find a summary of financial statements here: Our recommendation Since February 2024, Uber's stock (UBER) has been undergoing a correction, largely driven by concerns over the rise of robotaxi services potentially eroding the market share of traditional ride-hailing giants like Uber and Lyft. Notably, Waymo—Alphabet's autonomous vehicle division—recently expanded to Miami and now completes over 150,000 self-driving rides per week. Tesla is also set to enter the space with a planned robo-taxi launch in late 2025. However, Uber is not sitting idle. The company, in collaboration with WeRide, has launched an autonomous mobility service in Abu Dhabi and is targeting fully driverless commercial services by late 2025 in the same region. This demonstrates Uber's proactive strategy to stay competitive in the evolving ride-hailing landscape. Beginning in early 2025, Waymo and Uber will bring autonomous ride-hailing to Austin and Atlanta, only on the Uber app. The sharp decline in Uber's stock price—down 34% in recent weeks. The MACD indicator is showing that we shall be having a zero crossover soon hence suggesting that selling pressure may be nearing exhaustion, potentially signalling a trend reversal. The stock appears poised to recover and return to a more balanced supply-and-demand dynamic. Despite current challenges, we expect Uber to remain resilient and successfully navigate market headwinds. The current price level presents a compelling buying opportunity, with a target price of $100.00 offering significant upside potential for investors who act now. Current price: $60.80 Good luck and best regards.
NYSE:UBERLong
by thesharkke
1
Fall Down to $70 ApproachingWith the RSI above average since mid-April 2025, the trend has been steadily rising up to $82 per share even breaking the highs from late February and March. Price projected onto both (A and B) Inside pitchforks is well above the median line. In the pitchfork A the price is even directly touching the upper parallel line. Reversal near the highest achieved price this year on 21st February is probable Based on these indications, we can expect a fall to around $70 somewhere in the middle of May. Key details: RSI over "overbought" level Price in both Inside pitchforks near the upper parallel line Longer uptrend = breakdown necessary
NYSE:UBERShort
by Tears_of_Yeltsin
UBER Long Breakout Play | 4H ChartUber Technologies Inc. (UBER) just broke out of a long-standing descending trendline, confirming a bullish structural shift. Entry: $79.43 SL: $70.45 TP: $86.93 R:R : 1:1.8 Technical Highlights • Clean breakout above descending trendline and horizontal resistance at $77.35 • Retest and hold above previous resistance confirms bullish strength • Strong bullish momentum and candle close above key levels • Targeting the next major resistance zone near $87 Bias Bullish continuation as long as $77.35 holds as support. Plan Trail stop if price sustains above $82. Look for volume confirmation on breakout retest.
NYSE:UBERLong
by wolfchemist
UBER | InformativeNYSE:UBER Market Structure and Price Action Uber is currently trading in a weakened technical structure that suggests bearish continuation unless a clear reversal is established. After forming a series of higher highs and higher lows earlier this year, the stock has transitioned into a distribution phase, confirmed by the appearance of lower highs (LH) and most recently a lower low (LL). Price was firmly rejected from the $75.91–$76.99 resistance zone — a level which coincides with a 3-month descending trendline and a prior congestion area. That rejection, followed by today’s strong red candle, suggests sellers are in control. More critically, price has broken below the $72.20 level, which acted as the short-term bullish-bearish pivot. This confirms short-term breakdown unless a swift recovery occurs. Key Levels and Psychological Zones The $75.91 zone is the bullish line Uber needs to reclaim for any upside thesis to be considered. Above that, the $76.99 level represents a confluence of prior supply and descending trend resistance. A close above that level would be the first bullish signal with momentum. On the downside, Uber has now breached the $72.20 pivot. The next level of interest is $70.19 — a near-term horizontal support. A clean breakdown below that opens the door toward the $64.05 demand zone, which aligns with the 1-year VWAP anchor and historical institutional defense levels. If bearish momentum accelerates, a flush toward $60.63 remains a realistic target, where multiple high-volume nodes and psychological buyers reside. Momentum and Volume Profile Momentum is deteriorating. The RSI is rolling over and now moving toward the 40 handle — clearly below the midline, indicating bearish pressure. No bullish divergence is present on RSI or MACD. Volume has increased on down days, with the most recent breakdown candle showing notable sell-side interest, confirming supply dominance. The moving averages have flattened and are beginning to converge downward. Price is currently trading below both the 20-day and 50-day moving averages, which amplifies the bearish technical posture. Conclusion : Uber has lost short-term support and is showing a clear distributional character. Unless the stock reclaims $75.91 with conviction, this setup favors continued downside momentum toward $64 and $60. Aggressive long entries are not justified until price structure reestablishes itself above $76 with sustained demand. In the current context, Uber is a high-probability short candidate under $72, particularly below $70.19. HEDGE FUND PLAYBOOK: STRATEGIC OUTLOOK BASE CASE SCENARIO (60%) – BEARISH CONTINUATION Trigger: Breakdown confirmed below $72.20 + rejection at $72.68 Target: $70.19 → $64.05 → extended to $60.63 Stop-Loss: Daily close above $73.50 Positioning: Tactical short / Put options targeting 2–4 week horizon ALTERNATIVE CASE (30%) – BULLISH RECLAMATION Trigger: Price reclaims $75.91 with volume > 10-day average Target: $76.99 → $79.50 → $82.10 Stop-Loss: Close back below $72.20 Positioning: Swing long / Call debit spreads with tight expiry NEUTRAL CASE (10%) – RANGE-BOUND ROTATION Condition: Price oscillates between $70.19 – $75.91 Positioning: Mean-reversion strategies / delta-neutral hedging
NYSE:UBER
by shkspr
Ubers Target Price: $92 From rides to returns — Uber’s ecosystem is scaling towards profitability. Target Price: $92 FY24 revenue expected at $41.2B, up 18% YoY, driven by core mobility and delivery segments. Achieved full-year positive Adj. EBITDA of $4.2B, margin expanding to 10.2%, signaling operational leverage. Projected FCF of $3.8B in 2025; reinvestment optionality + share buyback program initiated. Valuation: Trades at EV/EBITDA of ~18x (2025E) vs. peers at 20–22x; attractive relative to growth. Especially in such a turbulent environment marked by tariff policy uncertainty and financial market instability, Uber’s attractiveness continues to rise. It is worth paying attention not only to Uber’s equity but also to its bonds with a 7.5% coupon.
NYSE:UBERLong
by gorgevorgian
3
Uber Quietly OutperformsStocks have been tumbling for more than a month, but Uber Technologies has quietly outperformed. The first pattern on today’s chart is the series of higher lows since mid-December. They contrast sharply with the S&P 500, which has mostly experienced lower highs. Second, the 50-day simple moving average (SMA) recently had a “golden cross” above the 200-day SMA. That may suggest a longer-term uptrend is trying to develop. Third, relative strength in the lower study shows how the ride-sharing company has outperformed the broader market over the last three months. Finally, UBER made an all-time high in October before pulling back. It then stabilized above its previous record high from 2021. That price action may be consistent with a longer-term breakout. TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors. Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges. TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
NYSE:UBER
by TradeStation