Technical outlook the stocks will reject 195-193.88 supply roof zone the current support at 169.54 demand floor is valid and will lead buyers into 195-193.88.however the break and close of this supply roof will be a new wave into 200-230$ break and close 169.54$ will retest 133.75-130 and could come to lower level. the weekly SMA200 also confirms 169.54 demand floor for a buy Key Reasons for Palantir’s Stock Drop High Valuation Concerns: Palantir's stock trades at an extremely high forward price-to-earnings (P/E) ratio of about 220, which many investors view as disconnected from fundamentals. This lofty valuation raises concerns about sustainability and growth expectations. Short Selling Pressure: Notably, influential hedge fund manager Michael Burry, famous for his bets prior to the 2008 crisis, has taken a significant short position against Palantir. This adds selling pressure and can spook other investors. Mixed Market Sentiment: Despite beating earnings and revenue expectations with strong growth (Q3 revenue up 63%, raised full-year guidance to over $4.4 billion), the stock dropped post-earnings as investors digested the high valuation and some caution on sequential growth. Macro and Sector Volatility: Broader tech sector pullbacks and concerns around government spending delays (affecting contract flows) in the current environment weigh on the stock. CEO Response: Palantir CEO Alex Karp has publicly criticized short sellers and expressed confidence in the company’s strategic direction and partnerships.ala Palantir Technologies' focuses on advanced data integration, analytics, and AI-powered decision-making platforms for government and commercial clients. The company transforms vast, complex data into actionable insights that enhance operational efficiency, security, and strategic decision-making. Core Business Model and Platforms: Palantir Gotham: Initially developed for government intelligence and defense sectors, focusing on counterterrorism, law enforcement analytics, cybersecurity, and risk detection. Palantir Foundry: A commercial data integration platform enabling enterprises across industries (finance, healthcare, energy, manufacturing) to unify data, build customized applications, and optimize operations. Palantir Artificial Intelligence Platform (AIP): The latest platform embedding AI and machine learning directly into workflows to enable predictive analytics, automation, and integration of large language models for enhanced enterprise intelligence. Revenue Model: Revenue primarily comes from long-term contracts with government agencies and enterprise clients, often customized and high-value deployments. Palantir invests heavily in R&D, especially in AI, machine learning, and cybersecurity technologies, to sustain its platform leadership. Clients pay for software licenses, deployment, ongoing support, and customization services. Fundamental Strengths: Strong growth with revenues surpassing $4 billion in 2025, driven by expanding commercial adoption. Strategic partnerships with governments and Fortune 500 companies provide recurring revenue and market credibility. Demonstrated success in critical use cases such as pandemic vaccine distribution, supply chain resilience, and financial risk management. Emphasis on data security and privacy compliance builds client trust. Future Outlook: Increasing integration of generative AI and autonomous workflows. Expansion into mid-sized businesses and new verticals. Focus on sustainability analytics and ethical AI governance. Summary Palantir is an enterprise AI and data analytics company providing advanced platforms (Gotham, Foundry, AIP) that help governments and companies harness data efficiently. Its business model relies on high-value, long-term contracts with heavy R&D investment. Palantir aims to be a key enabler of AI-powered enterprise transformation across industries. #ai #stocks

Using the bars pattern tool on this daily chart for PLTR to see if there will be a retest of a lower trend line before continuation upward The lowest trend line probably will not be hit but i leave it there See if future price action looks anything at ALL like this

Bullish channel in tact. Successful rebound on the .5 fib. I can see a 40%+ move from here in the short-term, and following the trend. Will it hold? Idk. I'm a long term holder (10-20 yrs), and don't make any trade advice.

🚨 PLTR HIGH PROBABILITY BUY/SELL SETUPS 🚨 * Here We Can See Clearly The Next Potential Moves For PALANTIR Coming Hours/Days. * Keep Your Eyes Close On Your Trading Positions. * Happy PIP Hunting Traders. FXKILLA.

On Oct 7th (30 days ago) I suggested that Tesla and palantir were in a "fractal" pattern. Oct 7th - macro look On Oct 27th - I wrote: "Fractals are a mathmatical anomaly, if you understand linear equations (and believe the market is "random"). All assets are doing the same patterns over and over, on all time frames. You just need to see it for what it is. Oct 28th - "What is a fractal mathmatically?" All asset charts are graphs, governed by coordinates on an x-axis and y-axis "chart". Where there exist trendlines that price action "respects". These trendlines and ratios are dictated by equations with several variables. If variables were by definition "random", then what would be the chance of 1 fractal appearing in a random assortment of buyers and sellers, in all different time zones (and countries)... all buyin in different amounts...at different times... *Regardless the fractal seems to remain intact. Oct 29th - "On Oct 7th I suggested that Palantir & Tesla were in a very bullish long term pattern and were both about to *soon break out into new all time highs (ATH). Palantir just did...is Tesla next? Oct 29th - macro look "What do you think? Is Tesla primed for an all time high (soon)...and a blow off top?" Nov 4th - "On Oct 7th I suggested the Palantir / Tesla "fractal" would lead them both to an all time high. Fast forward to today (1 month later), Palantir has recently hit a new ATH and Tesla is still following the fractal closely. I believe Tesla is days or weeks away from an ATH. Tesla will move very quickly in 3rd angle fashion, once it breaks ATH & holds support. If the fractals continues at this pace, how soon do you think Tesla will HOLD SUPPORT above ATH?" Nov 4th - A different way of looking at this fractal. I wrote "Even when there is a 'deviation' from the pattern, the overall agenda prevails. There's no stoping this moving train. Hopefully you're on board...and know when to get off.

"This is my stupid learning idea: I think PLTR is heading to the 140 zone. Don't follow me—I'm just practising and learning on my own. This is not a trade idea.”

Bearish markets test the mettle of every trader—but they also sharpen strategy and reveal hidden potential. Success lies in recognizing resistance zones, anticipating trend shifts, and enforcing disciplined risk controls like stop-losses and diversified holdings. Staying informed on macroeconomic developments—such as fiscal policy, global trade dynamics, and central bank signals—adds a crucial layer of foresight. Rather than fearing downturns, seasoned traders view them as setups for future gains. With patience, adaptability, and a clear-eyed strategy, every dip becomes a stepping stone toward long-term resilience.

Perhaps one of the clearer counts on offer at the moment suggesting that we might be due a correction at least in a number of US tech stocks and especially this one. Again, some decent fib extensions here and a nice inverse hammer candle before price headed down.

Palantir Technologies (PLTR) Shares Fall Despite Strong Earnings Palantir Technologies (PLTR), a company specialising in big data analytics software, released a strong quarterly report this week: → Earnings per share: actual = $0.21, expected = $0.17 → Revenue: actual = $1.181 billion (up 63% year-on-year), forecast = $1.09 billion Palantir thus reaffirmed its status as a leader in the field of artificial intelligence. Yet, despite the impressive results, PLTR shares fell following the release. Why? It is likely that much of the optimism had already been priced in during the company’s 150% rally earlier this year. In other words, the drop in PLTR’s share price appears to have been driven purely by market sentiment and overly high expectations, rather than any weakness in the company’s fundamentals. Technical Analysis of Palantir Technologies (PLTR) Back in August, when analysing PLTR’s price movements, we: → confirmed the relevance of the ascending channel (shown in blue) and highlighted support around the psychological level of $150; → suggested that, following a spike in volatility, the price could resume its upward trend. As the chart’s arrow indicates, this scenario indeed played out – the lower boundary of the channel acted as strong support. Building on that level, the bulls demonstrated conviction, pushing the price through key resistance zones at $160 and $170. In October, the price broke out of a Bullish Flag (marked by an arrow) and subsequently rose above the psychological barrier of $200. However, the chart has since taken on a more bearish tone because: → the price failed to hold above $200 – creating what looks like a FOMO bull trap; → the median line of the channel acted as resistance; → following the earnings release, a bearish gap appeared in the $190–200 zone, which may now serve as future resistance. For the bulls, much depends on whether support at the lower boundary of the channel can hold. Based on the current setup, that task looks more challenging than it was in August. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

"AI's Exponential Dawn: Why Burry's Bears Are -ERRONEOUSLY- Shorting the Future of 7.8 Billion Lives" November 5, 2025 AI's Exponential Dawn: Why Bears Like Burry Are Betting Against the Future of 7.8 Billion Civilization. Amid growing concerns of a market peak, skeptics are increasingly targeting the cornerstone of tomorrow's economic expansion: artificial intelligence. Yet, as I've emphasized, AI stands as the unassailable pillar driving a profound transformation in infrastructure capacity and construction—much of it already financed and underway. This restructuring of industrial organization is not merely national or regional; it is profoundly global, dwarfing any prior industrial cycle in scope and ambition. For the first time in world history, this cycle will encompass 7.8 billion people across more than 150 countries, weaving AI into the fabric of economies from Silicon Valley to Shenzhen and beyond. It would be both short sighted and unconscionable to permit a cadre of short-sellers to undermine this momentum.I view figures like Michael Burry and his cohort as mere irritants—a fly in the ointment—against the backdrop of the Trump administration's vested interest, with trillions upon trillions at stake. Their resources dwarf anything Burry could marshal, ensuring AI's inexorable advance.Take Palantir (PLTR): Its elevated forward P/E ratio belies the unparalleled optimization efficiencies its platform will deliver, a factor markets have yet to fully price in. To illuminate this, let's quantify the sector's explosive growth and reverse-engineer future revenues for PLTR, NVIDIA (NVDA), and the broader AI ecosystem. What emerges is not speculation, but a structural imperative.Quantifying the Global Scale: 7.8 Billion People, 150+ Countries, and Trillion-Dollar Trade FlowsTo dissect this unprecedented engagement, consider the AI ecosystem's projected footprint: By 2030, the global AI market will swell to $4.8 trillion (a 25-fold surge from $189 billion in 2023, per UNCTAD), directly fueling $19.9 trillion in cumulative economic value (IDC). This isn't siloed innovation—it's a trade engine reorienting supply chains, semiconductors, and software exports across borders, with AI-related goods and services comprising up to 10% of global merchandise trade by decade's end (WTO World Trade Report 2025). Engagement spans demographics and geographies: AI tools will reach 729 million direct users by 2030 (up from 116 million in 2020, Bureau Works), but indirect touchpoints—via productivity boosts, job transformations, and embedded applications—will permeate 40-50% of the global workforce, affecting over 3 billion people (IMF estimates). In 150+ countries (spanning Anthropic's Claude. ai adoption data), legislative AI mentions have surged ninefold since 2016 (Stanford AI Index 2025), signaling policy alignment from G7 hubs to emerging BRICS economies. Here's a regional breakdown of projected 2030 impacts, highlighting GDP uplift, population exposure, and AI-driven trade activity (synthesized from McKinsey, PwC, and UNCTAD models; assumes 29% CAGR for AI market): North America: Population Covered: 0.6B (% of Global Pop.: 8%); Projected GDP Uplift: $3.5T; AI Trade Volume Est.: $1,200B; Key Drivers: Innovation hubs; 14.5% GDP boost (ETA); chip exports dominate. Europe: Population Covered: 0.7B (% of Global Pop.: 9%); Projected GDP Uplift: $2.8T; AI Trade Volume Est.: $900B; Key Drivers: Regulatory frameworks; software/services trade surges 20% YoY. Asia-Pacific: Population Covered: 4.7B (% of Global Pop.: 60%); Projected GDP Uplift: $7.2T; AI Trade Volume Est.: $1,800B; Key Drivers: Manufacturing scale (China/India); 50% of global AI hardware trade. Latin America & Africa: Population Covered: 1.8B (% of Global Pop.: 23%); Projected GDP Uplift: $3.0T; AI Trade Volume Est.: $600B; Key Drivers: Leapfrog adoption; emerging data center investments double trade flows. Middle East & Others: Population Covered: 0.0B (residual, % of Global Pop.: <1%); Projected GDP Uplift: $0.4T; AI Trade Volume Est.: $300B; Key Drivers: Energy-AI nexus; sovereign funds fuel cross-border deals. Global Total: Population Covered: 7.8B (% of Global Pop.: 100%); Projected GDP Uplift: $16.9T; AI Trade Volume Est.: $4,800B; Key Drivers: $15.7T cumulative GDP add (PwC); $4.60 ROI per $1 AI spend (IDC). This matrix underscores the trade multiplier: Every $1 billion in AI infrastructure spend generates $4-5 billion in downstream commerce—semiconductors from Taiwan to hyperscalers in the U.S., optimization platforms like PLTR streamlining ops in 100+ countries, and NVDA's GPUs powering clusters from São Paulo to Seoul. Developing nations risk commoditization without adoption (World Bank), but with $670 billion in annual data center capex by 2025 scaling to $1.67 trillion (McKinsey), the flywheel accelerates inclusive growth. In sum, this isn't a cycle—it's a paradigm, with AI trade volumes rivaling oil today and touching every citizen through enhanced efficiencies. Markets undervalue this universality; forward thinkers will capitalize. Projecting Revenue Gains from AI Adopters: Real-World Transformations in Logistics, Fraud Detection, and Autonomous MobilityBuilding on our exploration of AI's global paradigm shift, let's zoom in on tangible revenue uplift for early adopters. These aren't hypotheticals—AI delivers measurable efficiencies that cascade into bottom-line gains, often 20-50%+ in targeted verticals. We'll dissect three pillars: logistics optimization, fraud detection (spotlighting American Express's playbook), and electric autonomous mobility (with Tesla Semi as the benchmark). Projections draw from industry benchmarks, assuming 2025-2030 adoption ramps at 20-40% CAGR, turning cost savings into revenue via pricing power, volume growth, and margin expansion.1. Logistics Efficiency: Unlocking $1T+ in Global Supply Chain ValueAI streamlines routing, inventory, and predictive maintenance, slashing operational costs by 15-25% while boosting delivery speeds 20-30%—translating to 8-15% revenue gains through customer retention and premium services. For a mid-tier logistics firm (e.g., $10B annual revenue like DHL subsets), this means: 2025 Projection: $800M-$1.2B uplift from AI-driven demand forecasting (reducing stockouts by 40%) and autonomous robots cutting warehouse labor 30%. 2030 Cumulative: $5-7B per adopter, as the $306B AI logistics market (42% CAGR) fuels ecosystem trade—e.g., PLTR's AIP optimizing routes for 121% U.S. commercial growth. Net: Adopters like UPS could see EBITDA margins swell 5-7 pts, compounding to 50%+ revenue equivalence over five years. 2. Fraud Detection: American Express's Margin-Doubling MasterclassAI's real-time anomaly detection has revolutionized payments, with false positives down 45-60% and fraud losses curbed 20-38%—directly inflating margins without headcount hikes. Amex exemplifies: Their ML models (deployed since 2014) boosted fraud resolution 100%, maintaining industry-lowest rates for 14 years and enabling 60% fraud reduction—effectively doubling profit margins (ex-expansion) via reclaimed revenue and lower provisions ($1-2B annual savings on $60B+ charge volume). 2025 Projection: For a $50B fintech (e.g., Visa peers), 50% fraud drop yields $500M-$1B margin boost, equating to 10-20% revenue proxy via trust-driven card spend. 2030 Cumulative: $10-15B per major player, as AI fraud tools scale to $50B market subset—PLTR's ontology-driven detection could amplify this 2x for enterprise clients. This isn't cost-cutting; it's revenue alchemy—fraud savings recycle into growth investments. 3. Electric Autonomous Mobility: Tesla Semi's $200K+/Truck Savings FlywheelAutonomous electric semis (e.g., Tesla's) merge 70-84% fuel savings with 90%+ labor reductions, retrofitting special lanes for driverless ops unlocking 20-30% fleet utilization gains. Baseline: Diesel semis cost $0.45/mile (fuel + driver ~$0.20 each); Tesla Semi drops to $0.13/mile electric + scaled labor. Fuel (10% Base + Efficiency): 70% cut yields $0.03/mile savings (conservative; real 84% = $0.04+). For 100k miles/year/truck: $3k-$4k annual gain. Driver (1 per 10 Trucks): $50k avg. U.S. salary = $5k/truck/year savings; full autonomous (lanes retrofitted) = $50k/truck elimination. 2025 Projection: Per fleet of 100 Teslas: $800k fuel + $500k labor = $1.3M total (~$13k/truck), or 20% revenue uplift via lower rates/higher loads—$200k/truck over 3 years per Tesla claims. 2030 Cumulative: $50-70M for 500-truck operator (18% fuel cut industry-wide for AVs), scaling to $500B global trucking savings as NVDA-powered autonomy proliferates. Special lanes (e.g., U.S. interstate pilots) could double this by enabling 24/7 driverless runs, turning capex into 40%+ margin expansion. Across these, adopters capture 15-30% revenue equivalence from AI efficiencies, compounding the $16.9T global GDP uplift we charted. PLTR and NVDA aren't just enablers—they're the multipliers. Skeptics, take note: This is adoption economics at warp speed. In Closing: Exponential Revenues Unfolding Now, Fueling Enterprise Transformation Article content These projected revenues are not distant mirages but colossal forces accruing in real time—AI's software essence ensures exponential compounding, with adoption accelerating across enterprises, governments, and infrastructures today. From Palantir's AIP platform already powering 500+ deals in Q3 2025 to NVIDIA's Blackwell GPUs shipping at scale amid $670B data center capex this year, the flywheel spins at warp speed. Markets may undervalue the immediacy, but for corporate leaders, this signals a profound operational shift: Software like Palantir's isn't just a tool—it's the accelerator for your own revenue trajectories, embedding intelligence into every workflow for immediate, scalable gains.Consider Palantir as a prime example of this software-driven momentum. As a pure-play AI optimization platform, its revenue trajectory exemplifies the rapid mushrooming potential available to adopters. Drawing from the last three quarters (Q1 FY2025: $880M; Q2: $1,004M; Q3: $1,180M), we've seen sequential growth accelerating from 14% to 17.5%—a clear sign of exponential uptake in commercial and government segments. Projecting forward at an averaged 15.8% quarter-over-quarter growth (conservative, given the upward trend and software's low marginal costs), here's the quarter-by-quarter outlook for the next five: Q4 FY2025 (Oct-Dec 2025): $1,366M (+16% QoQ) – Early signs of tripling annualized run-rate from Q1 levels, as AIP bootcamps convert pilots to full deployments overnight. Q1 FY2026 (Jan-Mar 2026): $1,582M (+16% QoQ) – U.S. commercial surges could push this 80%+ YoY, mirroring the 121% Q3 clip. Q2 FY2026 (Apr-Jun 2026): $1,832M (+16% QoQ) – Global enterprise wins stack, with software scalability enabling 50%+ margins on new logos. Q3 FY2026 (Jul-Sep 2026): $2,121M (+16% QoQ) – Cross-border optimization deals proliferate, potentially doubling from Q3 2025. Q4 FY2026 (Oct-Dec 2026): $2,456M (+16% QoQ) – Cumulative FY2026 could exceed $9B, a near-tripling from FY2025's $4.4B guide, underscoring software's viral adoption curve. This isn't linear scaling—it's software at work: Zero-capex marginal revenue from each new user, compounding efficiencies in logistics, fraud prevention, and beyond. Imagine applying similar velocity to your P&L: A 16% QoQ lift in your core ops could mean double-digit revenue mushrooms within a year, all without proportional headcount bloat. Enter Michael Burry: Yet another fool wagering unethically against humanity's most transformative industrial process to date—a global reconfiguration touching 7.8 billion souls. History will judge such shorts not as visionaries, but as footnotes in progress. The imperative for managers ? Pilot AI software now—before competitors claim the edge. #AI #DigitalTransformation #EnterpriseTech #Leadership