BIG SCANDAL IN MONROEVILLE, PA The taxpayer funded library took down an lgbtq children’s book display following backlash Leftist freaked out and are protesting to get the library to put it back They’re now staging sit-ins to read lgbtq books to kids all day in the library This is how desperate Democrats are to confuse kids

if only i held this trade on @midasmarketsxyz a wee bit longer, this would have been a giga cook from the Trump conference and recent PA, was oversized so i closed it but man the potential pnl on it would have smacked

Another interesting $BTC fractal. If we happened to establish a higher low around 77.6K, we would be inheriting somewhat similar characteristics to the PA we saw back in 2022. If something like this plays out, I would definitely be looking for hedge shorts above the current range highs. I’m still holding the 2x long and actively looking for a hedge short. But right now, there’s no reason to force anything. I’m staying patient and waiting for the right moment to present itself. Just thought it was worth sharing, as I trade a combination of patterns, recurring psychological dates, key events, and various other metrics to build confluence.

Gcashcat some @letscashfun communities are going HARD and that's so fucking awesome to see this was our main goal from the very beginning, which is why we keep repeating the phrase 'by the community. for the community.' Not only is that what happened, but it's the only launchpad right now that appears to have genuine trench activity, rather than some bullshit forced narrative/cash grab by the founding team with fucking wash volume/revenue and fake tokens (pls do better, you know who you are...). We will NEVER do such things. This is about lifting up the community. We are starting to see green shoots there and I am confident we'll keep compounding because we're clearly the only ones shipping useful shit without pa-motivated hypey garbage (part of the reason there is no affiliated token), and the trenchers seem to like it bonus for the $CASHCAT flywheel this is just the beginning for the cash cat ecosystem step by step, we continue to climb to new heights

━━━━━━━━━━━━━ 【US Listed Stocks Implied Catalyst Brief】🔍 ━━━━━━━━━━━━━ 📅 Date: July 22, 2026 (Wednesday) 🌍 Market: US Equities (NYSE + NASDAQ) 【Executive Summary】 Late July brings a dense calendar of macro data and earnings season for US stocks. Three under-the-radar trends to watch this week: ① Small-cap SaaS firms witness coordinated buying by CEOs and directors ($EVCM, Palisade Bio); insiders start accumulating shares after steep valuation compression. ② Bridgewater’s Q2 13F filings reveal a sharp 70% cut to Apple alongside a 62% increase in $AMD holdings, a clear signal of rotation within AI hardware names. ③ Biotech PDUFA season kicks off; $OTLK faces a July 29 FDA decision with an estimated 89% approval probability. I. Major SEC Filing Announcements (Past 1–2 Weeks) ■ $EVCM EverCommerce Inc. (8-K + Form 4, July 8) CEO Eric Remer purchased 75,000 shares at $9.98 ($748,500). Director Richard Peretz bought 100,000 shares ($995,000). Director Eric Rosenthal acquired 60,000 shares ($601,200). The three executives collectively purchased 235,000 shares on the same day for a total of $2.34 million, marking the largest single-day insider purchase in 18 months. The firm recently divested non-core businesses; its stock trades near the 52-week low of $9.45 with a PS ratio of only 1.8x, representing a 40% discount versus the peer median of 3.0x. ■ $BABA Alibaba Group (8-K, Ongoing Share Repurchases) Repurchases executed between July 2–8: 4.16 million shares on July 2 ($49.99 million); 1.47 million shares on July 8 ($19.99 million). Cumulative repurchases since program authorization stand at 31.26 million shares (0.16% of total shares outstanding). Current trailing PE stands at roughly 12x, within its historical low range. ■ $KR Kroger Co. (8-K, July 1) Definitive agreement to acquire Giant Eagle for a total consideration of $1.65 billion ($1.25 billion cash plus assumption of $400 million debt). Giant Eagle generates approximately $9 billion in annual revenue and operates 197 supermarkets plus 11 pharmacies, with geographic footprints highly complementary to Kroger’s existing markets (OH/PA/WV/MD/IN). II. Insider Trading Activity (Form 4, Past 1–2 Weeks) ■ $EVCM EverCommerce — ⭐Strong Signal CEO and two directors made coordinated purchases totaling $2.34 million on July 8 at average prices ranging $9.75–$10.15. Short interest remains elevated at 8.5% of the float, creating potential short squeeze dynamics on upward price moves. A comparable cluster insider purchase worth $1.8 million in December 2024 preceded a 22% share price gain within six weeks. ■ $FLD Fold Holdings — ⭐CEO Accumulation CEO purchased 250,000 shares at $2.60 on July 6 ($650,000), lifting direct holdings by roughly 15%. The stock sits merely 8% above its 52-week low of $2.40. Q2 earnings are scheduled for July 25. Open interest on $3.00 strike call options has risen noticeably in recent sessions. ■ $PALI Palisade Bio — ⭐Serial Director Buying Director Robert Baltera Jr. completed three tranches of purchases between July 1–8 totaling 125,000 shares: $1.98 (30,000), $2.04 (50,000), $1.97 (45,000), for approximately $250,000 total. His shareholding increased by 34%, representing the largest management purchase since January this year. ■ $ANET Arista Networks — ⚠️CEO Disposition CEO Jayshree Ullal sold approximately 477,000 shares across July 9–10 for aggregate proceeds of $89.5 million. While classified as routine selling, the sizable volume warrants monitoring. III. Institutional Position Shifts from 13F Filings (Latest Quarter) ■ Bridgewater Q2: Sharp 70% Cut to AAPL, +62% Stake Increase in AMD Total portfolio market value stood at $19.2 billion (a $600 million quarter-over-quarter decline). The most notable adjustment: substantial reduction in Apple (-70%), paired with a 420,000-share addition to AMD (+62%). Positions in TSM, NVDA, MU, AVGO, MRVL and other AI semiconductor names were retained. Bridgewater is rotating AI exposure away from richly valued large-cap leaders toward second-tier semiconductor stocks. ■ Berkshire Hathaway Q1 (First Post-Warren Buffett 13F) New $2.6 billion position in DAL (Delta Air Lines), marking a return to airline equities. Stake increase in GOOGL elevated it to the seventh-largest holding. New $55 million position in Macy’s. Full liquidation of AMZN and Visa. The new management team demonstrates a tilt toward value recovery and cyclical consumer plays. ■ Composite Signal: Q2 13F data reflects institutional “sell expensive, buy undervalued” positioning — trimming high-valued AI leaders including MSFT/NVDA/AAPL while adding AMD/MU/MRVL and other second-tier semiconductor names. Select institutions have begun tentative repositioning into rate-sensitive cyclicals such as airlines and retail. IV. Analyst Rating Revisions (Past 1–2 Weeks) ■ $XYZ Block — Piper Sandler Two-Tier Upgrade to Overweight Target price raised from $58 to $100 (+72%), driven by projected gross profit growth and margin expansion. Recent underperformance across payments and consumer finance stocks stems from valuation compression rather than EPS deterioration. The firm also assigned Overweight ratings to V/MA/AXP/AFRM/COF. ■ $FIVE Five Below — Bernstein Upgrade to Outperform Target price lifted from $247 to $250. Discount retailers stand to benefit from consumer downgrading trends amid weaker economic conditions. ■ $ADBE Adobe — HSBC upgraded to Buy ($308) on July 2, followed by another firm downgrade to Sell ($240) on July 21. Widening rating divergence reflects unresolved market debate over AI’s impact on creative software. Bulls argue Adobe Firefly unlocks new growth avenues; bears warn of market share erosion from competitors including Canva. ■ $PLTR Palantir — DA Davidson Upgrade to Buy Target price set at $175. Growth accelerates on both government and commercial demand for its AIP AI platform. ■ $SHOP Shopify — Stifel Upgrade to Buy Target price increased from $110 to $150. Consistent profitability improvement for the e-commerce SaaS platform. V. M&A & Corporate Combination Announcements (Past 1–2 Weeks) ■ GSK Acquisition of $NUVL Nuvalent — $10.6 Billion All-Cash Deal GSK closed its acquisition of Nuvalent on July 15 at $124 per share in all cash. Nuvalent develops precision oncology therapies targeting ALK/ROS1 mutations. The transaction featured a substantial acquisition premium, and Nuvalent delisted from Nasdaq. ■ $AA Alcoa Acquisition of South32 Aluminum Assets — Up to $5.6 Billion On July 1, Alcoa announced acquisition of South32’s integrated bauxite, alumina and aluminum smelting assets to solidify its position as the world’s largest aluminum producer. AA pre-market fell 3.6% on announcement amid investor concerns over overpayment, though scale advantages and cost synergies from integration merit follow-up. ■ $KR Kroger Acquisition of Giant Eagle — $1.65 Billion See Section I above. Kroger intends to accelerate Giant Eagle’s growth via data analytics, e-commerce solutions and operational discipline. VI. Share Repurchase Authorizations (Past 1–2 Weeks) ■ $NU Nu Holdings — New $1 Billion Buyback Program Board approved a 12-month $1 billion repurchase program on June 4. The Brazilian digital bank continues generating substantial excess capital while expanding into Mexico, Colombia and the United States. Current market capitalization stands at roughly $53 billion; the buyback represents approximately 1.9% of market value. ■ $NWSA News Corp — Ongoing $1 Billion Repurchase Program Aggregate repurchases reached $364 million as of July 14 (including a $2.72 million tranche on July 14). Approximately $636 million of authorization remains available, equivalent to 3–4% of market cap, signaling constructive capital return momentum. ■ $BABA Alibaba — Daily Buybacks Ranging $5–20 Million Repurchase pace accelerated in July. Cumulative repurchases since program launch total 31.26 million shares. Sustained buybacks at depressed price levels alongside a 12x PE ratio provide meaningful downside support. VII. FDA Biotech Catalysts ■ $OTLK Outlook Therapeutics (PDUFA July 29, 89% Probability) Bevacizumab BLA for wet age-related macular degeneration (Wet AMD). The regulatory decision is due in 9 days. If approved, it will serve as a lower-cost alternative to Lucentis, with an addressable annual market exceeding $8 billion. Current market cap sits near $300 million; regulatory results will dictate near-term price trajectory. ■ $CAPR Capricor Therapeutics (PDUFA August 22, 67% Probability) Deramiocel for Duchenne Muscular Dystrophy (DMD) cardiomyopathy. The candidate holds Orphan Drug, Rare Pediatric Disease and Fast Track designations amid urgent unmet patient needs. The 67% approval probability implies elevated uncertainty, yet substantial upside potential upon clearance. ■ $CELC Celcuity (PDUFA Date Elapsed, July 20) Gedatolisib for second-line HR+/HER2- breast cancer, granted Priority Review, Breakthrough Therapy and Fast Track status with a historical approval probability of ~90%. The PDUFA deadline passed July 20; official regulatory conclusions await confirmation. ■ $SMMT Summit Therapeutics (PDUFA November 14) BLA submission for EGFR-mutant NSCLC post-TKI treatment failure. Approval would fill an unmet clinical niche for EGFR resistance cases. VIII. Retail Social Media Trending Equities (Past 1–2 Weeks) ■ $SNAP Snap Inc. — Reddit Discussion Volume +633% Spiking social sentiment likely tied to Q2 earnings expectations due late July. Fundamentals remain pressured by fierce advertising competition, while the potential TikTok ban remains unresolved. ■ $SPCX SpaceX — Sustained Retail Investor Enthusiasm 677 Reddit mentions with 78.6% bullish sentiment. SpaceX remains the primary accessible space-sector name for retail investors, keeping sentiment elevated. Valuation bubble risks require vigilance. ■ $GME GameStop — Meme Stock Revival 586 Reddit mentions with 152.6% bullish tilt. July rebound correlates with upcoming Q2 earnings and potential transformation catalysts, though no fundamental inflection is confirmed; price action is largely sentiment-driven. ■ $MU Micron Technology — Heated Bull-Bear Debate 714 Reddit mentions with largely neutral sentiment (only 2.3% bullish). Headwinds include Korean semiconductor financing risks, balanced against long-term HBM demand; market direction remains highly contested. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Ranked Watchlist】Top 5 High-Potential Equities ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🥇 #1#: $EVCM EverCommerce Inc. Core Catalysts: Coordinated insider purchases totaling $2.34 million by CEO and two directors on July 8, the largest cluster management acquisition in 18 months. PS ratio of 1.8x versus peer median 3.0x; non-core asset divestitures set the stage for operating margin improvement. Key Metrics: Share price ~$10.5, market cap $1.85 billion, short interest 8.5% (short squeeze potential). Risks: Small-business SaaS spending may contract amid elevated interest rates; stock remains within a downtrend. Positioning Note: Suitable for medium-to-long-term accumulation on dips. Entry zone $9.5–$10, stop-loss $8.5 (10% below 52-week trough). Target range $13–$15 (implying reversion to 2.5x PS). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🥈 #2#: $XYZ Block Inc. Core Catalysts: Piper Sandler two-tier upgrade to Overweight; target lifted from $58 to $100 (+72%). Gross profit expansion driven by Square merchant ecosystem and Cash App dual engines. Valuations across the payments sector have undergone significant compression. Key Metrics: Current share price ~$75, target $100, PE has retreated to reasonable territory. Risks: Rising consumer loan credit losses, volatile bitcoin-derived revenue, ongoing regulatory uncertainty. Positioning Note: Enter $70–$75 zone, stop-loss $62. Upside toward $95–$100 if Q2 earnings (early August) validate margin expansion. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🥉 #3#: $AMD Advanced Micro Devices Core Catalysts: Bridgewater lifted AMD holdings by 62% in Q2. Institutional capital is rotating out of NVDA toward second-tier AI semiconductor names. MI300/MI400 ramp accelerates, building AMD’s nascent data center GPU footprint. Key Metrics: Clear Q2 institutional accumulation signal; AMD holds cost-performance advantages over NVDA within AI inference workloads. Risks: Competitive pressure from NVIDIA Blackwell architecture, sentiment spillover from Korean semiconductor financing strains, persistent weakness in PC end-markets. Positioning Note: Existing holders may maintain positions; new entries await the $160–$165 zone. Accelerated adoption in AI inference represents the primary H2 2026 catalyst. Stop-loss $140. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏅 #4#: $OTLK Outlook Therapeutics Core Catalysts: July 29 PDUFA decision (9 days away) for Bevacizumab in Wet AMD with an 89% historical approval probability. Approval would create a low-cost alternative to Lucentis within an $8 billion+ annual addressable market. Key Metrics: Current market cap ~$300 million, PDUFA scheduled July 29. Risks: Severe share price downside if FDA issues a Complete Response Letter (CRL); questions over manufacturing capacity and commercialization capabilities; potential need for partnerships or capital raises for launch. Positioning Note: High risk, high reward. Limit allocation to speculative tranches (≤2% of total portfolio). Pre-PDUFA share price rallies are typical. Reduce half of the position ahead of the decision date to lock in gains regardless of outcome. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏅 #5#: $BABA Alibaba Group Core Catalysts: Trailing PE of only 12x with sustained daily buybacks of $5–20 million. Top-tier institutions including Bridgewater and Appaloosa (David Tepper; BABA as the largest 11.7% portfolio holding) maintain heavy positions. Growth drivers include AI cloud and cross-border e-commerce. Key Metrics: Share price ~$120, PE 12x, daily buyback range $5–20 million. Risks: Uncertain domestic macro backdrop, US–China tech decoupling risks, intensifying competition from Pinduoduo and Douyin E-commerce. Positioning Note: Scale in tranches between $110–$120 for long-term holdings. The combination of 12x PE and active repurchases offers robust downside protection. Stop-loss $95. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Follow, share and save. The Wall Street Watch team will continue tracking developments and interpreting quantitative data. Drawing on the WSV Model, we deliver analysis covering equities, gold, bonds (ETFs), sector rotation metrics and individual stock case studies to capture forward positioning opportunities. ⭐️⭐️⭐️ Disclaimer: All content is for informational reference only and shall not constitute investment advice or trading guidance. Information is compiled from public filings and calculated via quantitative machine learning models. No warranty is made regarding the authenticity, completeness or accuracy of data herein. Past performance does not guarantee future returns; case studies do not guarantee profitable outcomes. Investors act at their own risk. All investments carry risk.

Journey through Hell made with seedance 2.5 prompt :One continuous 30-second chaotic amateur first-person smartphone video filmed by a standing passenger inside a completely packed magnetic-levitation commuter train. Single unbroken take with no cuts, jump cuts, dissolves, crossfades, double exposures, portals, morphing or artificial scene transitions. The train begins as an ordinary weekday commute on Earth and then physically travels downward on an impossible journey — through subway tunnels into bedrock, into a colossal void beneath the crust, past a soot-blackened waiting platform, through an immense eroded gate, out above a burning plain, down the terraced wall of a vast pit, and into the inhabited depths of Hell. Everything must feel physically connected, as though the same train is genuinely travelling down through each environment. The tone is bureaucratic dread, not horror-movie shock. This is a scheduled service. The route is old, the infrastructure is worn, and the train runs it the way it runs any other line. The horror comes from how ordinary the journey is and how enormous the destination turns out to be. The interior is a completely packed standing-room-only maglev commuter car. Passengers are pressed shoulder-to-shoulder, gripping overhead straps and vertical poles. Backpacks are squeezed between bodies, coats and loose clothing shift with acceleration, straps swing on their inertia, and the entire carriage constantly vibrates and rattles. The camera is a cheap smartphone held at chest height by one standing passenger who grips a pole with the other hand. The phone itself is NEVER visible because the phone is the camera. The framing is crooked, slightly off-centre, partially blocked by shoulders and arms, and imperfect like genuine accidental footage. The camera constantly shakes, rolls, yaws and gets thrown around by acceleration. Use realistic rolling-shutter distortion, autofocus hunting, exposure pumping, blown highlights, crushed noisy shadows, low-bitrate compression, macroblocking and smeared motion blur. It must look like genuine spontaneous smartphone footage, not professional cinematic footage. The camera always looks through the LEFT-SIDE WINDOWS at approximately 90 degrees to the train's direction of travel. The train always travels forward and the outside world always streams past the windows from front-to-back. Never switch to a forward-facing train-nose view. Never show the front of the train. The same carriage, same passengers, same poles, same straps and same windows remain visually consistent throughout the entire journey. The interior is the constant realistic anchor while the outside world becomes increasingly impossible. 0 to 3 seconds. Begin with an ordinary overcast weekday commute on an elevated urban line. Grey apartment blocks, rooftop water tanks, a scrapyard, overhead wires, a canal and traffic on a road below streak past the left windows at different distances with realistic parallax. The passengers are tired and mostly uninterested — some on phones, some staring out, some talking quietly. A calm public-address chime sounds and an announcer quietly says, "Next stop: Hell." Nobody reacts. One passenger glances up briefly and goes back to their phone. The train accelerates and everyone instinctively tightens their grip as the carriage gives a hard lateral jolt. 3 to 6 seconds. The line drops into a cutting and then into a tunnel. Tiled subway walls, cable runs, service lights and a passing platform strobe across the windows in hard bands of light and dark, throwing the carriage into stuttering illumination. The tunnel ages as the train descends: modern concrete becomes older brickwork, then rough-cut stone. The fittings become scorched and soot-caked — blackened signal lights, corroded brackets, cabling burnt down to bare metal. This route has been running a long time. The gradient steepens noticeably; passengers lean back against the pitch and the straps hang visibly off-vertical. 6 to 9 seconds. The tunnel wall becomes raw geology and the train is now clearly descending through the crust at impossible speed. Through the left windows the rock face streaks past in visible strata — pale limestone, dark shale, red iron-stained bands, seams catching the carriage light. The air begins to heat and passengers loosen collars. Then, under the mechanical roar, a sound arrives before anything is visible: a vast, distant, continuous mass of human voices, far away and heavily reverberant, never resolving into individual words. It is not loud. It is simply there, and it does not stop. Two passengers look at each other. Nobody says anything. 9 to 11.5 seconds. The rock wall falls away entirely and the train emerges into a void larger than a city, with no visible far side. It runs along a ledge on the wall; below the windows the space drops away into darkness. Stone columns kilometres tall stand in the void with strong parallax — near ones sweeping past, distant ones barely shifting. Far below and far ahead, a faint orange glow is already visible. It must already exist in the frame from this moment and grow continuously from here forward without ever popping or suddenly enlarging. The voices are louder here, spread across an enormous space. One passenger near the glass leans forward slightly. Another quietly says, "Ohh." 11.5 to 14 seconds. The train passes a station. A soot-blackened platform is cut into the rock wall — worn edge, dead lamps, faded markings unreadable under the grime — and figures are standing on it in an orderly queue, waiting, facing the track, completely motionless. They are seen for less than a second at speed, as dark shapes against the platform light, never close enough to read faces. The train does not slow. Nobody boards. The platform is gone behind the carriage. This is the moment the passengers understand. Several stop looking at their phones. Embers begin drifting upward past the windows from below. 14 to 16 seconds. Ahead, a wall crosses the entire void — a single continuous barrier extending beyond sight in both directions and upward past the ceiling. The train passes through an immense gateway cut into it, an arch hundreds of metres tall, its stone eroded smooth by an unimaginable volume of traffic, its carved markings worn past legibility. For half a second the carriage is in the shadow of the arch and everything goes dark. Then it is through, and the light on the far side is completely different: warm, hard, and coming from below. 16 to 19 seconds. The train races above a burning plain. Outside the left windows: a vast crusted expanse of dark solidified ground cracked into slow-moving plates with brilliant orange fissures running between them, distant fountains of molten material rising and falling in slow motion because of their true scale, and smoke columns standing kilometres high. Running across it are raised stone causeways, and on the causeways are crowds — dense, continuous, moving slowly, all in the same direction, extending to the limit of visibility. They are seen only as masses at distance, never in detail. The light entering the carriage is now dominant and hard, throwing sharp orange edges on faces, poles and straps with deep black shadows behind them. The interior air is visibly hazy. The voices are constant. 19 to 21 seconds. The plain ends at the rim of a colossal pit — a shaft so wide the far wall is only a suggestion in the haze. The train races over the edge and begins descending along the interior wall. The wall is terraced: enormous concentric ledges receding downward, each deeper and darker than the last, disappearing into smoke layers. The descent acceleration pushes the passengers down and forward against the poles. Ash begins striking the windows and streaking backward. 21 to 23 seconds. The terraces are populated. Endless slow processions move along every ledge, strings of figures following the curve of the wall down into the smoke and out of sight, lit from below by the fires beneath them. There is no chaos in it — it is orderly, patient and entirely without end, which is worse. Furnace mouths open in the rock face, glowing white at their throats, and long queues stand before them. Everything is at distance. Nothing is close enough to resolve. The light entering the carriage takes on a deeper red and the fluorescents are overwhelmed. Passengers nearest the window press slightly closer to the glass. 23 to 25 seconds. Enormous shapes move among the terraces — figures many times the height of the crowds around them, walking slowly along the ledges, their scale established only by comparison. They do not look at the train. Distant winged forms cross beneath the carriage at low altitude with slow heavy wingbeats appropriate to their size and vanish into the smoke. Stone pens and barred openings are cut into the wall in their thousands, receding into the haze like housing. Ash accumulates in the corners of the windows. The carriage is hot enough that the glass fogs and clears in waves. 25 to 27 seconds. The train reaches the deep layer and the full extent of Hell reveals itself. It is not a city on a human plan and it is not a cavern. It is a continuous inhabited geology extending in every direction — towers of black stone fused into cliff faces, vaults hollowed out of the rock at cathedral scale, rivers of molten material running in cut channels between districts and falling in slow luminous cataracts to levels further down, bridges spanning gaps kilometres across, and everywhere on all of it, crowds. Smoke columns rise for kilometres and flatten against unseen ceilings. Every level is lit by its own fires. The train races along a ridge line through the middle of it; arches and aqueduct spans pass overhead and terraces stream past below the window with violent parallax. It is impossible to see where any of it ends. 27 to 29 seconds. The depths continue past the windows. The camera struggles badly with the contrast, blowing out the fires and crushing everything else into noise. Ash cakes the corners of the glass. Passengers are pressed against the windows in total silence, faces lit from below in hard orange, expressions stunned and completely still. One person quietly whispers, "What is that?" Nobody answers. Autofocus hunts between the ash on the glass and the world beyond it. 29 to 30 seconds. The fires end. The train passes out of the smoke and the lowest region opens — and it is not burning. It is a vast frozen plain stretching beyond the visible horizon, an impossibly wide sheet of dark grey ice, absolutely still, lit by nothing but a faint pale glow from within itself. Shapes are visible held motionless within it, spaced far apart, receding to the horizon, never shown in detail. Every exterior sound stops at once — the voices, the fires, everything — leaving only the carriage. The heat drops out and frost blooms instantly across the outside of the windows. The scale feels planetary. The passengers stare in complete silence. At approximately 29.7 seconds the calm PA voice says quietly, "Welcome to Hell." The train continues moving. The camera keeps shaking naturally as the frozen expanse extends endlessly beyond the left window. Lighting The lighting must evolve naturally throughout the journey. Begin with flat overcast daylight around 6500K. In the tunnels use harsh strobing bands from passing service lights against near-total dark, then let the sources become sparse until the carriage's own weak fluorescent tubes are the only illumination. In the void the interior lights fall off into nothing. Then introduce a growing warm orange from below — first a faint wash on the lower half of faces, then mixing with the cold interior white, then completely dominating it: hard, high-contrast, sharp-edged, with deep black shadows. Above the burning plain it should be strong enough to blow out the phone's sensor at the window. In the deep layer it becomes red-orange and omnidirectional from countless fires at every distance. In the final second all warm light vanishes and is replaced by a faint pale luminance from the ice, cold and almost sourceless. All exterior light must enter naturally through the LEFT-SIDE WINDOWS and fall across passengers' faces and clothing at every stage. Do not add artificial interior lighting to create the colours. Passengers Keep all passengers completely ordinary throughout the journey. Realistic skin texture, subtle capillary variation, natural blinking, breathing, eye movement and imperfect facial symmetry. Clothing has realistic folds and responds to acceleration. Passengers must continuously perform small independent movements: shifting weight, adjusting grip, loosening a collar in the heat, wiping fog from the glass, turning their heads, tightening their hands around poles. Do not make them freeze. Do not make everyone react at the same moment. Do not let them perform dramatic acting. Their emotional progression is subtle: indifference at the announcement → mild confusion in the tunnels → unease when the voices arrive → the exact moment of understanding as the waiting platform passes → dread on the descent → complete stunned silence in the depths. No screaming. Only one soft "Ohh" at the first glow and one whispered "What is that?" near the end. The most powerful reaction is no reaction — just faces pressed against the glass, lit from below by something that should not exist. Physics The train always travels forward and always downward after the tunnel. Passengers sway according to acceleration and lean against the gradient; straps hang off-vertical on the descents. Loose clothing reacts to movement. Exterior objects have different velocities and distances with strong realistic parallax at every stage — near stone columns sweep past, mid-distance terraces move steadily, distant districts barely shift. Ash and embers must move independently of the train, drifting upward on thermal currents rather than streaming with the carriage. Heat must be expressed physically: window fogging and clearing, haze inside the carriage, frost at the very end. Enormous figures and flying forms must move slowly, because they are enormous. Nothing teleports, nothing freezes, nothing suddenly appears, and nothing changes position without physical cause. No transitions There are absolutely no visual transitions. No dissolves, crossfades, portals, morphing or ghosted overlays. Every environment change happens because the train physically travels into the next environment. The city becomes a cutting, the cutting becomes a tunnel, the tunnel becomes bedrock, the bedrock opens into the void, the void contains the waiting platform, the void ends at the wall, the gateway gives onto the burning plain, the plain ends at the pit rim, the rim becomes a terraced descent, the terraces fill with processions, the processions become the full inhabited depths, and the depths open onto the frozen plain. It must feel like one physically continuous impossible journey where every step is the inevitable consequence of the step before it. Audio Audio must be entirely diegetic with no music. Use cheap compressed smartphone microphone quality. The train produces a constant deep maglev roar, mechanical clatter, rattling poles, vibrating windows, swinging straps and low-frequency carriage rumble, plus passenger breathing and clothing movement. In the tunnels add hard reverberant slap-back and pressure changes as the train passes openings. The defining sound of this video is the voices. They must arrive at 6 to 9 seconds, before anything is visible, as a distant continuous mass of human voices with enormous reverberation, never resolving into words and never rising to screaming. From that point they never stop. They grow with depth and spread across a wider stereo field as the spaces open up. Beneath them, a very low frequency resonance builds steadily, felt more than heard. Above the burning plain add a broad distant roar and irregular deep concussions at long intervals. Ash strikes the hull as fine irregular ticking. In the depths the voices are vast, layered at many distances, and mixed with immense indistinct industrial-scale sound that never resolves into detail. In the final second every exterior sound stops at once — total silence outside, leaving only the carriage, the passengers' breathing, and ice creaking against the hull. At approximately 29.7 seconds the calm PA voice says quietly, "Welcome to Hell." Style and content limits The overall style must remain dirty photorealistic amateur smartphone footage despite the spectacular environments. Vertical 9:16, real-time speed, no slow motion, no stabilisation, no cinematic camera, no perfect composition, no clean VFX presentation. Use heavy shadow noise, blown highlights, low-bitrate compression, rolling-shutter skew, autofocus hunting, auto-exposure pumping, smeared motion blur and crooked framing. The camera should occasionally be partially blocked by a shoulder, arm or nearby passenger, and should struggle badly with the extreme contrast between fire and darkness. Hell is conveyed through scale, architecture, crowds at distance, fire, ash and sound. Do not show suffering, injury, bodies, blood, restraints or any graphic content. Every figure outside the train stays a distant silhouette or part of a mass — none is ever close enough for its face or condition to be read. Do not use recognisable religious iconography or legible text of any kind; all markings are eroded past legibility. Do not make it look like a game cinematic or a clean VFX render. The world outside should be overwhelming and physically impossible, but the recording itself must look raw, accidental and believable. The most important rule ONE SINGLE CONTINUOUS TAKE. No cuts, no jump cuts, no dissolves, no crossfades, no scene resets and no artificial transitions. The same train, same passengers and same camera remain present from beginning to end. The orange glow must be visible as a faint distant smudge from the first cavern and grow continuously and inevitably until it fills the window. The voices must arrive before the fire and never stop until the final second. The heat must build physically across the whole descent so that its total disappearance at the end lands as a shock. The population must emerge gradually — the waiting platform, then crowds on the causeways, then processions on the terraces, then the full inhabited depths — never appearing all at once. End while the train is still moving, the frozen plain extending endlessly beyond the left window, passengers silent, carriage still shaking, the PA announcement fading into the sound of ice.

Is crypto back? Everyone who quietly rebranded to AI last year seems to think so. Some thoughts on the market, and on @RealVision. Tis the season of humble brags on X, so here's mine. In reality, this was a pretty tough bear market. Crypto had to face the reality of a big drawdown outside of a general equities sell-off. But dogged analysis while the poo was flying thick and fast generated targeted calls and positioning insights that took the portfolio I run for the Pro tier up 2x in 2 months. I don't overtrade. I make high-conviction calls. My primary calls: 1. Derive ethereum:0xb1d1eae60eea9525032a6dcb4c1ce336a1de71be, up 5x from the March Deep Dive 2. Zcash $ZEC (2 trades), up 5x from the April Deep Dive 3. NEAR Protocol $NEAR, up 2x from the June Deep Dive 4. The SCP vs BTC, and the DeFi vs SCP outperformance call 5. In July, deployed 75% of the cash built up since the Q3 2025 top 6. Lousy call on Circle $CRCL, down 20% At @RealVision, my Pro members' portfolio compounded at 40% p.a. for 3 years, including the 47% drawdown. Importantly, it has outperformed both NDX and BTC. Now for the reality check. Altcoin open interest is at the 91st percentile versus Bitcoin. Things are frothy. But the first move out of a bear can be like that without derailing the cycle. This is not the time to get super aggressive or reach for leverage. Expect more volatility. I never like to overtrade the start of a cycle, but taking some profits makes sense. I want to hold Quality names for the medium to long term. (ps: I am bringing out a Quality index/basket to help narrow the field for Alpha tier subscribers.) On the macro front, I am still concerned about the general state of global liquidity. DXY is strong, the yield curve is flattening, and real rates are climbing. We are late stage in the 5-year refi cycle. Bessent blinked, but it will take more to get through this. Crypto could easily see a 30%+ pullback which means (50%+ for many high flyers). But for long-term investors who are now waking up and need to take their crypto allocation from nothing to something (depending on risk tolerance), dips are for buying quality names. The structural tailwinds are coalescing. Some of this move is ahead of the data, but that's generally how markets work. Assets are pricing in what the agent economy + tokenisation looks like in 12 months, not today. Just a short comment on @RealVision. We have been around for 13+ years. After being force-fed the bile of BBG and CNBC for 20 years in TradFi, I saw straight away how transformative the platform was back in 2014 and became a foundational subscriber. I was a subscriber for almost a decade before joining @RaoulGMI to build out the crypto product. It's been an incredible 3 years. Whether as a strategist or a subscriber, I am lucky each day to read the phenomenal macro, equity, tech, AI, and geopolitics analysis from the team of independent strategists team: Raoul, @AndreasSteno, @RosenvoldGeo, and @DMattin. That's 5 strategists who often agree but, more importantly, often disagree. There is no 'house' view. If that upsets you, go become a client of Morgan Stanley, JPM or some brokerage with a conflict of interest. My lane is crypto. That's what I love, and I have never been more bullish on the secular trend that inspired me to leave the TradFi world years ago. Brutal, undignified, sleep-destroying. Best job I have ever had.

pa has been pretty toxic the last few days on our favorite barbell, but the structure hasnt changed one bit. mostly just noise. marscoin and useless are still printing stupidly clean HLs and it feels like we cant be too far from the next expansion dont let them shake you out