$FLNC

@investmentguru_May 24, 2026 · 10:16 AM

THE THEMATIC WATCHLIST — 2025 EDITION Every mega-trend. Every sector. One list.This is how I’m thinking about capital allocation across the next cycle 👇 AI → $GOOGL $PLTR $NVDA $COHR Chips → $TSM $ASML $AMD $MU $SNDK Space → $RKLB $ASTS $LUNR $RDW $PL Crypto → $COIN $BTC $ETH $SOL Energy → $GEV $CEG Drones → $ONDS Nuclear → $CCJ $OKLO $VST $SMR Defense → $KTOS $AVAV $AMTM Robotics → $SYM $TSLA $ISRG Batteries → $TE $EOSE $QS $FLNC Quantum → $QBTS $IONQ $RGTI $INFQ Healthcare → $NVO $UNH $HIMS Data Centres → $IREN $CIFR $NBIS $CRWV Critical Minerals → $TMQ $UUUU $CCJ The next decade won’t be won by picking one sector. It’ll be won by understanding how they connect. AI needs chips. Chips need power. Power needs nuclear. Nuclear needs uranium. Uranium needs miners. It’s all one trade — just different layers. Know the map. Size accordingly. Not financial advice.

@kaizen_investorMay 19, 2026 · 3:35 PM

See a lot of questions regarding the $FLNC margins. I agree, you don’t expect to see these low margins at a company that is vital for the AI boom. But you should take in mind the full picture. 1. Fluence is a project-based company. They don’t really have a standard product, their batteries need to be integrated in the architecture of the end-customer. This makes that they need to engineer based on the customer needs. The gross profit margin on such projects are always lower because the amount of direct labor is higher. This direct labor is put in the costs of goods sold and not in the overhead costs. Cogs influence your gp margin, overhead costs don’t. 2. Fluence chooses to put their hardware in the field cheaper to catch as much market share as possible. On their batteries, customers can activate Fluence IQ. For example, the AI model predicts electricity prices and uses the battery accordingly. This is the main advantage of Fluence. The margins on these subscriptions (Fluence Mosaic or Fluence Nispera) are way higher than any battery manufacturer can accomplish. So the more units in the field, the better the margins will become. I’ve been following Fluence for a couple of quarters now and the management has been open and honest about the margins. They were bad in Q4 25’ but promised to improve in Q1 26’ and delivered. I like the go-to market strategy and the hyperscaler reference should help improve the margins as well. No financial advice and do your own research.

@jasonl_capitalMay 18, 2026 · 11:42 PM

@ripster47 $FLNC is interesting

@investmentguru_May 18, 2026 · 11:39 AM

Energy- 7 layers AI Energy Bridge: Short-Term Stack (Before nuclear comes online ~2030+) Layer 1 — Solar Generation → $FSLR (First Solar) — domestic manufacturing moat → $ARRY (Array Technologies) — utility-scale trackers → $CSIQ / $JKS — cost-competitive module suppliers Other- $ENPH $SEDG $TE → ETF play: $TAN (Invesco Solar ETF) Layer 2 — Battery Storage → $EOSE (Eos Energy) — long-duration grid storage → $FLNC (Fluence Energy) — utility-scale BESS deployments → $QS (QuantumScape) — solid-state, longer horizon Layer 3 — Grid Modernization / Transmission → $ETN (Eaton) — switchgear, power mgmt → $PWR (Quanta Services) — grid buildout contractor → $GRID (First Trust Nasdaq Clean Edge Smart Grid ETF) — pure ETF play → $GEV (GE Vernova) — turbines + grid infra, breakout momentum Layer 4 — Natural Gas Bridge → The actual short-term baseload filler before nuclear → $LNG (Cheniere) — LNG export → $AR (Antero Resources) — nat gas supply → $TELL (Tellurian) — speculative LNG infra → Data centers are signing direct gas PPAs right now Layer 5 — Power Equipment / Transformers → Bottleneck hiding in plain sight — 2–3 year transformer lead times → $HUBB (Hubbell) — transformers, electrical components → $VRT (Vertiv) — data center power + cooling infra → $AMPS (Altus Power) — distributed solar + C&I Layer 6 — Demand Response / Energy Software → The “grid intelligence” layer — often overlooked → $GNRC (Generac) — backup power + grid services → $ITRI (Itron) — smart meters, grid edge data → $STEM (Stem Inc.) — AI-driven energy storage optimization Layer 7 — Nuclear → $CEG, $CCJ, $OKLO, $SMR, $NNE, $LTBR → 2028–2035 production window — position early, wait long Solar + Storage absorbs daytime peaks → Gas fills baseload gaps → Grid modernization moves electrons efficiently → Nuclear takes over as 24/7 firm power This is your “AI Power Capital Cycle” — each layer hands off to the next. Great multi-year content series. Not financial advice.

@aleabitoredditMay 17, 2026 · 8:55 AM

@vz921 They have low P/S ratios because it's an $SMCI $DELL $FLNC type integrator. Then they just throw in photonic memory when they build the appliance around it, then compare it to core semiconductor IP holders. It's annoying seeing stuff like this all over X. https://t.co/PyqMGpZZHX

@investmentguru_May 13, 2026 · 10:41 AM

Battery and energy storage could become one of the next big themes in the market as AI infrastructure, data centers and grid demand continue growing rapidly. The market is starting to realize that generating power is only part of the story, storing energy efficiently may become just as important. Short term momentum and long term opportunity both look interesting in this space IMO. Watching names like: $FCEL $BE $FLNC $QS $AMPX $EOSE $PLUG From hydrogen fuel cells, grid scale storage, solid state batteries to next generation energy systems, this sector could see increasing attention as the energy demand cycle accelerates. Feels like the market is slowly rotating toward companies connected to future power infrastructure and storage solutions.

@kaizen_investorMay 12, 2026 · 2:30 PM

A lot of questions regarding $FLNC today. I hope everyone understands that the market we live in today is not normal. Is a stock going down 15% worrying? I would say yes in normal circumstances. But when that stock is still up 66% that week? I would say a 15% is pretty normal. The main reason Fluence is up 66% is because of the SMA’s with Hyperscalers. The first revenues of these Hyperscalers would come in Q2 2027, if all goes right. When a stock gets pumped on hypothetical revenues in 2027, you will get days like this. It’s not normal that a stock gets re-rated the day after. Institutions gradually increase/decrease their position. This takes time. Where will Fluence be next week? No clue. Next month? No clue. I believe that more and more institutions will increase their position in Fluence over the next quarters. I believe that the more information is available about the deals, the more those positions will increase. And by the time those revenues come in even more institutions will step in. We all get spoiled by this market. Big traders influence the short-term market more than ever. Don’t worry too much about that volatility, know your thesis and hold long-term. So to answer the question: no, I won’t change anything about my $FLNC position.

@aleabitoredditMay 12, 2026 · 1:58 PM

@0xResurge Yeah it’s unfortunate timing. Could have easily seen $FLNC doubling if the company left things alone. But the float unlock creates a ton of psychological overhang, even if nothing is sold.

@aleabitoredditMay 12, 2026 · 1:53 PM

$FLNC 20M share offering if you’re wondering why it’s trading down. The 20M share is not dilution, but share unlock + transfer. So change of hands. The biggest problem was the clause that made active shelf-registered resale capacity of the 117,666,665 shares, so there’s an unlock of the other remaining ~97m shares to my knowledge. Net negative and very material to short term trade ideas. Since it expands the float and it introduces short term selling pressure. That’s the overhang… I personally cut concentration on the surprising news since it’s changes my trade idea with the float structure. But holding some anyway to see where it heads after hyperscaler deals. Definitely not telling people what to do, presenting new material overhang created by company management.

@investmentguru_May 12, 2026 · 10:50 AM

WHERE THE MONEY FLOWS NEXT — Full Renewable Energy Capital Rotation Map. Oil holding $100+ is the ultimate catalyst for the energy transition. SOLAR — The Lowest Cost Energy Ever Built → $FSLR — largest Western hemisphere PV manufacturer, $16.4B backlog, 53.7 GW contracted → $ENPH — microinverter leader, IQ Battery storage, 22,000+ certified installers globally → $SEDG — solar power optimization & residential storage → $JKS — JinkoSolar, 370 GW cumulative shipped, expanding into utility-scale storage → $CSIQ — Canadian Solar, global manufacturing + storage integration WIND — Backbone of Grid-Scale Renewables → $VWDRY — Vestas, global wind turbine leader → $GEV — GE Vernova, grid modernization + wind equipment supercycle → $ORSTED — offshore wind pure play → $SIEGY — Siemens Energy, onshore + offshore wind + grid ENERGY STORAGE — The Most Critical Layer → $EOSE — Eos Energy, zinc-based long duration storage, no lithium dependency → $FLNC — Fluence Energy, utility-scale BESS deployments globally → $STEM — AI-driven battery storage optimization platform → $BE — Bloom Energy, solid oxide fuel cells, AI data center power Utility-Scale Integrated: → $NEE — NextEra, largest battery storage developer in North America, 3.6 GW operational → $BEPC — Brookfield Renewable, 80 GWh battery storage in development pipeline → $AES — AES Corp, major BESS developer across Americas Lithium & Materials (Picks & Shovels): → $ALB — Albemarle, world’s largest lithium producer, vertically integrated → $SQM — Sociedad Química, Chilean lithium giant → $LAC — Lithium Americas, North American supply chain play → $LTHM — Livent, lithium for EV + grid storage Solid-State (Next Gen): → $QS — QuantumScape, solid-state lithium-metal batteries → $SLDP — Solid Power, solid-state EV battery development → Battery pack prices falling to $105/kWh in 2026 — making storage economically superior to fossil fuel peakers for the first time at scale  NUCLEAR — Always-On Baseload Bridge → $CEG — Constellation Energy, largest U.S. nuclear operator, AI data center offtake deals → $OKLO — next-gen microreactor, Sam Altman-backed → $SMR — NuScale Power, small modular reactor pioneer → $CCJ — Cameco, uranium supply chain kingpin → $UEC — Uranium Energy Corp, domestic U.S. uranium producer GRID & TRANSMISSION — The Bottleneck Nobody Talks About → Global energy transition investment hit a record $2.3T in 2025 — grid modernization is a core pillar  → $ETN — Eaton, electrical infrastructure & power management → $GEV — GE Vernova, grid equipment + turbines → $VRT — Vertiv, data center power & thermal management → $HUBB — Hubbell, electrical products & grid components → $PWR — Quanta Services, grid construction & EPC → $EMR — Emerson Electric, industrial automation + energy infrastructure → $ABB — ABB Ltd, power systems, grid-forming inverters, EV charging infrastructure HYDROGEN & FUEL CELLS — Longer Duration Optionality → $PLUG — Plug Power, green hydrogen + fuel cell systems → $BE — Bloom Energy, hydrogen-capable fuel cells → $FCEL — FuelCell Energy, stationary clean power generation THE CAPITAL CYCLE FRAMEWORK → Most existing grids were designed for centralized fossil fuel generation — not decentralized variable renewables. Integrating solar + wind creates new stability challenges that only storage + smart grid tech can solve  Stage 1 → Solar + Wind capacity floods in (already happening) Stage 2 → Storage becomes mandatory to stabilize the grid (NOW) Stage 3 → Transmission upgrades to carry renewable power (2026-2030) Stage 4 → Hydrogen + long-duration storage fill the remaining gaps (2028+) We are at the Stage 1→2 inflection point. High oil prices just pulled the timeline forward by 3 years. Not financial advice.

@investmentguru_May 11, 2026 · 11:47 PM

One of the strong sector today $EOSE $QS $FLNC $FCEL $SES

@aleabitoredditMay 11, 2026 · 11:27 PM

Not sure why people ask these types of questions across every single stock from $AAOI to $LPK under every post? I've already said multiple times, I have positions after $FLNC earnings announced 2 new hyperscaler deals. But I do think $FLNC Is compelling since hyperscalers from $GOOGL to $AMZN don't sign small deals in general. Especially when you look at $MSFT contract with $NBIS a lot of it is a major surprise.

@aleabitoredditMay 11, 2026 · 2:40 PM

I actually think $FLNC should be a lot higher. The implications of having 2 incoming direct hyperscaler contracts in 1 quarter is enormous. $MSFT to $AMZN don't sign tiny deals. Obviously markets like to wait more until actual news/purchase order numbers come out... in the off-chance it doesn't go through or lower than expected. But a company doesn't just randomly announce 2 hyperscalers MSas and an expectation of the orders to hit Q3. Also winning multiple hyperscaler deals, in a single quarter is a leading indicator for more, especially as Fluence BESS becomes standardized. Given short interest is around 27.69%, I'm not sure if pre-earnings short sellers are very comfortable to take a risk... I think there's a chance for a generational run if a hyperscaler like $GOOGL signs a massive contract.

@aleabitoredditMay 11, 2026 · 8:18 AM

@Jornka329996 I’d be disappointed if $FLNC didn’t triple digit return in two months. I’m trying to hit 30

@investmentguru_May 11, 2026 · 2:40 AM

My framework: Grid-scale infrastructure: $FLNC / $NRGV / $STEM Long-duration storage: $EOSE Next-gen EV battery disruption: $QS / $AMPX / $SES The big picture: AI growth needs power. Power needs stability. Stability needs storage. Energy storage may become one of the biggest infrastructure trades of this decade. Watch the capital flows early.

@kaizen_investorMay 10, 2026 · 3:29 PM

I have some new followers asking about my porftolio. I always give a monthly update on my portfolio but as I had the question a lot last week, I share it again. I have 15% cash but I left it out of the portfolio here: 1. $PL - 16% (average cost: $4 -> +876%) 2. $RKLB - 10.1% (average cost: $20 -> +427%) 3. $FLNC - 7.9% (average cost: $17.53 -> +37.82%) 4. $PLTR - 7.8% (average cost: $30.6 -> +429%) 5. $IREN - 6.7% (average cost: $42.12 -> +45.3%) 6. $ASM.AS - 6.5% (average cost: €279 -> +215%) 7. SK Hynix - 6.3% (average cost: €487 -> +118.7%) 8. $GOOGL - 6.3% (average cost: $132 -> +200.7%) 9. $FTC - 6.0% (average cost: £2.33 -> +63.09%) 10. $AMPX - 5.9% (average cost: $10.43 -> +60.11%) 11. $MVRL - 5.6% (average cost: $88.66 -> +91.70%) 12. $OUST - 5.3% (average cost: $19.06 -> +31.43%) 13. $WOLF - 4.8% (average cost: $36 -> +29.44%) 14. $HIMS - 4.7% (average cost: $37.6 -> -24.81%) Feel free to ask some questions about the portfolio. I can also make a thread about my investment thesis of these stocks.

@investmentguru_May 10, 2026 · 12:16 PM

EVERY BUCK STOPS AT ENERGY — The Bottleneck Nobody Talks About Enough. The real constraint on AI isn’t chips. It isn’t bandwidth. It isn’t capital. It’s electrons. Here’s the full breakdown NUCLEAR — The Baseload Beast → Only energy source delivering 24/7 carbon-free power at hyperscaler scale → Microsoft, Google, Amazon signing direct nuclear PPAs — unprecedented → Legacy fleet life extensions: cheapest, fastest path to zero-carbon baseload → SMR wave building: factory-built, faster deploy, co-locatable with data centers → Uranium supply chain revival underway — enrichment is the chokepoint Tickers: $CEG $VST $OKLO $SMR $CCJ $LEU $LTBR GRID — The Invisible Backbone → US grid built in the 1950s–70s. Not designed for 300MW data center campuses → 2,600 GW stuck in interconnection queues — more than entire installed US capacity → Large power transformers: 2–3 year lead times, barely made domestically → FERC Order 1920 mandated long-term transmission planning for first time ever → Grid hardware demand is a decade-long supercycle, not a trade Tickers: $ETN $GEV $PWR SOLAR — The Cost Curve Winner → ~99% cost decline since 1976 — cheapest new electricity in history → Constraint has shifted: no longer cost, it’s permitting + interconnection + storage → Solar + BESS is now the standard utility build → IRA credits extending economics through the 2030s → $FSLR only major US-based module manufacturer — direct IRA beneficiary Tickers: $FSLR $ENPH $ARRY $TE BATTERY STORAGE — The Enabler Layer → Renewables without storage are weather-dependent. Storage makes them dispatchable → LFP BESS: $1,200/kWh (2010) → ~$100/kWh (2024) → ~$60/kWh projected (2030) → 4-hour duration now standard. Long-duration (100hr+) is the unsolved problem → Iron-air, flow batteries, green hydrogen all competing for the long-duration crown → V2G sleeper thesis: 300M EVs by 2035 = massive distributed grid storage network $FLNC $EOSE $QS $BE RENEWABLES — Wind, Hydro & Geothermal → Offshore wind: world-class US East Coast resource, but capex + financing challenged → Pumped hydro still 95% of ALL global grid storage — massively underappreciated → Enhanced Geothermal Systems (EGS): Fervo Energy proved commercial scale — dark horse → Geothermal = 24/7 baseload, zero emissions, geography no longer a hard limit $PLUG AI IS THE MEGA-DRIVER → 1 ChatGPT query ≈ 10× the electricity of a Google search → Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023 → The wave thesis plays out in layers: W1 → Semiconductors ($NVDA $AMD) — well known ✅ W2 → Memory ($MU $SNDK) — catching up ✅ W3 → Photonics ($COHR $AAOI $FN $CRDO) — mid-innings 🔄 W4 → ⚡ Energy ($CEG $VST $OKLO $ETN $GEV) — early innings. We are HERE 🎯 W5 → Robotics/Physical AI — next wave 🔜 RISKS TO WATCH → IRA rollback attempts — policy is the #1 overhang → Permitting timelines remain brutal (10–15 years for transmission lines) → Nuclear cost overruns — historical pattern, balance sheet quality matters → Rate sensitivity — these are long-cycle capex-heavy businesses → Supply chain concentration (China dominates solar, battery manufacturing) Not financial advice.

@investmentguru_May 10, 2026 · 11:26 AM

The Complete Data Center Stack: Where the AI Infrastructure Money Flows Most investors still think AI is just about GPUs. That’s incomplete. AI is an infrastructure buildout, and the real opportunity spans the entire data center stack. Every inference, every training run, and every deployed model depends on multiple layers working together. Here’s the breakdown: 1. Compute Silicon (The Brain) Tickers: $NVDA, $AMD, $AVGO, $INTC This is the foundation. GPUs, CPUs, accelerators, and custom silicon power training and inference. Why it matters: - Compute demand keeps rising with larger models - AI workloads are forcing faster chip innovation - Custom ASICs are becoming a major trend 2. Server OEMs & Solutions (The Hardware Layer) Tickers: $SMCI, $DELL, $HPE, $VRT, $ETN, $MOD Chips need systems. These companies assemble and deliver the physical AI servers and power systems. Why it matters: - AI racks are denser and hotter - Power distribution is now critical - Cooling is becoming a competitive advantage 3. Memory & Storage (The Hidden Bottleneck) Tickers: $SNDK, SK Hynix, $MU, $WDC, $P, Samsung, $NTAP AI models consume massive amounts of memory bandwidth and storage. Why it matters: - High-bandwidth memory is becoming strategic infrastructure - Data storage demand rises with AI deployment - Faster access = better model performance 4. Networking & Connectivity (The Nervous System) Tickers: $ANET, $CSCO, $MRVL, $CRDO, $CIEN, $NOK AI clusters must communicate at ultra-high speed. Why it matters: - Faster networking reduces latency - Data movement is becoming expensive - Scale depends on interconnect efficiency Key idea: AI cannot scale without bandwidth. 5. Neoclouds & Physical Infrastructure (The New Builders) Tickers: $NBIS, $IREN, $CRWV, $APLD $CIFR $DGXX These companies provide specialized AI infrastructure and hosting. Why it matters: - Cloud alternatives are growing - AI-native infrastructure is becoming valuable - Capacity shortages create pricing power 6. Energy (The Ultimate Constraint) Tickers: $CEG, $NEE, $EOSE, $GEV, $EQT, $VST $OKLO $BE $FLNC AI consumes enormous electricity. Power availability is becoming a limiting factor. Why it matters: - Grid demand is surging - Battery storage is essential - Reliable baseload power matters Final Thought The market often focuses on one winner. But AI infrastructure is an ecosystem. If you want to understand where capital flows next, follow the stack: Compute → Servers → Memory → Networking → Infrastructure → Energy The biggest winners in the AI cycle may not always be the obvious names. Sometimes the best opportunities are in the supporting layers that make the whole system possible.

@investmentguru_May 10, 2026 · 1:29 AM

ENERGY STORAGE IS BECOMING THE NEXT MAJOR INFRASTRUCTURE TRADE AI data centers are creating an energy demand shock. Renewables are scaling. Grids are aging. That creates one unavoidable need: 🔋 STORAGE. This isn’t a short-term theme. It’s a multi-year secular buildout. Here’s how I’m viewing the sector: $EOSE Zinc-based long-duration storage (4–16hr+) → Non-lithium, non-flammable → Massive pipeline ($22B+) → High upside if execution improves Risk: dilution + scaling credibility $FLNC Utility-scale battery storage leader → $5B+ backlog → Hyperscaler/data center penetration growing → Strong institutional backing Risk: margins still need improvement $QS Solid-state battery moonshot → Pilot line now operational → Licensing model emerging → Strong cash runway Risk: commercialization still years away Other names worth watching: $NRGV Own-and-operate storage model Recurring energy revenue could rerate the story $AMPX Silicon-anode batteries High-density cells for aerospace/defense $STEM Software layer for energy storage Less hardware risk, more recurring software model $SES AI + battery chemistry One of the most interesting speculative intersections My framework: Grid-scale infrastructure: $FLNC / $NRGV / $STEM Long-duration storage: $EOSE Next-gen EV battery disruption: $QS / $AMPX / $SES The big picture: AI growth needs power. Power needs stability. Stability needs storage. Energy storage may become one of the biggest infrastructure trades of this decade. Watch the capital flows early. Not financial advice.

@thevalueistMay 9, 2026 · 2:07 PM

$FLNC Fluence Energy: Growth, Execution, the Data Center Opportunity, and Investment Thesis. Fluence Energy has undergone a meaningful shift in market perception — from a struggling integrator to a critical infrastructure provider — driven by rising data center demand and federal clean energy policy tailwinds. The record $5.6 billion backlog and partnerships with tech hyperscalers support that narrative, but the financials haven't caught up yet. Margins remain narrow and cash flow is negative, which means the current valuation is still a forward bet, not a reflection of demonstrated earnings power. The strategic position has real elements worth crediting. Domestic manufacturing provides insulation from supply chain risk and aligns with policy incentives. The software layer adds recurring revenue potential and differentiates Fluence from pure hardware integrators. Those are genuine competitive advantages — but they're being tested against vertically integrated competitors with deeper balance sheets and battery price volatility that makes margin management structurally difficult. Management credibility is a live question. The team carries genuine industry depth, but there's a recent track record of missing financial targets that the market hasn't fully forgotten. In a business with thin margins and a large backlog to execute against, forecasting accuracy matters — it's both an operational requirement and a trust signal with investors. The setup is high-stakes in both directions. The demand environment is real, the backlog is substantial, and the policy backdrop is supportive. But converting theoretical demand into consistent, profitable revenue is a different problem than winning contracts, and Fluence hasn't yet proven it can do that at scale. Until the margin trajectory turns visibly positive and cash flow inflects, this remains a growth stock priced on potential rather than performance.

@kaizen_investorMay 9, 2026 · 10:11 AM

You can earn so much by just listening to earning calls and interpret the numbers. The algo’s just look at the basic earning numbers and decide to trade on that, they don’t interpret them. There are so many examples. For $FLNC the algo’s pushed it from 12 to 16. If you would have listened to the earnings you realise that 16 is still way too low, so I bought. 1 day later and Fluence now trade at 24. Same for $WOLF, the numbers in itself weren’t fantastic so algo’s pushed it down 12%. But if you know the company and listen to the earnings call, you would have realised they are on the right track, $WOLF is now up 32% since. Another example, but one I couldn’t capitalise on is $AEHR. I remember them beign down 12% in aftermarket. I wanted to buy them but I don’t have broker who supports that. $AEHR is up 50% since. Learn to interpret the numbers and what you should be looking for in an earnings call and you’ll be a better investor.

@kaizen_investorMay 8, 2026 · 2:03 PM

I calculated the value if you followed all my decisons with 1K in the last 2 months: The decisions 1. Sk Hynix (09/03): Buy at 487 - 2.05 shares 2. $OUST (10/03): Buy at 20 - 50 shares 3. $MRVL (11/03): Buy at 88.66 - 11.27 shares 4. $POET (11/03): Buy at 6.52 - 153.37 shares 5. $POET (31/03): Buy at 4.9 - 204 shares 6. $OUST (31/03): Buy at 16.7 - 59.88 shares 7. $HIMS (31/03): Buy at 18.7 - 53.47 shares 8. Filtronic (20/04) Buy at 230 - 4.34 shares 9. $POET (27/04) Sold at 8 - 357.37 shares 10. $WOLF (05/05) Buy at 36 - 27.78 shares 11. $FLNC (07/05) Buy at 16.67 - 59.99 shares The value up to now 1. Sk Hynix - Now at 996 -> 2.041 (+104.1%) 2. $OUST - Now at 24.38 -> 2.678 (+33.94%) 3. $MRVL - Now at 165.86 -> 1.896 (+86.92%) 4. $POET - Sold at 8 -> 2.858 (+42.95%) 5. $HIMS - Now at 25.61 -> 1.369 (+36.93%) 6. Filtronic - Now at 388 -> 1.683 (+68.39%) 7. $WOLF - Now at 49.49 -> 1.374 (+37.48%) 8. $FLNC - Now at 24.78 -> 1.486 (+48.65%) Total invested: 10K Total Return 15.38K Return: 53.85% I'm happy with the value I provide on here. All for free, just a nerd sharing his research.

@aleabitoredditMay 8, 2026 · 1:37 PM

And… $FLNC is up over 50% now. I did think it was undervalued as is, but it was a massive cherry on top throwing in 2 hyperscaler deals. Exciting to see how much markets re-rate this energy company. https://t.co/3RB2u9tBvq

@investmentguru_May 8, 2026 · 10:30 AM

$FLNC is having one of its most explosive sessions in recent memory — stock ripped from $13.56 to an intraday high of $20.29 before settling around $17.17, a move driven by Q2 earnings that missed revenue badly but delivered exactly what bulls needed to hear.  Revenue of $464.9M missed consensus of $622.3M by 25%, yet the market looked past it because backlog hit a record $5.6B, YTD order intake doubled to ~$2B, and Fluence announced master supply agreements with two hyperscalers  — a direct AI data center catalyst that reframes the growth narrative. Management reaffirmed FY26 revenue guidance of $3.2B–$3.6B with adjusted EBITDA of $40M–$60M, and noted that 50% of orders this year came from new customers , suggesting genuine market share expansion beyond its utility base. The bear case remains real — UBS slashed its target to $8 just weeks ago on concerns over intensifying competition and battery oversupply risk tied to U.S. tax policy , and the business still burns significant cash with negative operating margins — but today’s hyperscaler MSA announcements and record backlog suggest the market is now pricing $FLNC as an AI power infrastructure play, not just a renewables storage name. Conviction swing or dead cat? The second half revenue ramp ($3.4B FY guidance vs. only ~$465M in Q2) will be the real test. Not financial advice.

@aleabitoredditMay 8, 2026 · 10:21 AM

It’s still premarket… But +18.66% off $FLNC having 2 direct hyperscaler contracts coming up. Especially at this tiny MC, having these types of contracts typically leads to massive re-rating. https://t.co/fVroq5VrN4

@kaizen_investorMay 7, 2026 · 9:58 PM

For those wondering: I sold my $TMDX shares today. I used the cash to add to my $FLNC position, so my cash position pretty much remains the same: ~15%. I listened to the $AMPX earnings call today and will post my thoughts tomorrow morning. Two of my other positions: $IREN and $RKLB also reported earnings today. Will listen to those earning calls as well and share my thoughts. Not going to comment on those yet, as I haven’t been able to read through the whole earnings. Aftermarket looks great for both though, will keep you posted.

@aleabitoredditMay 7, 2026 · 6:24 PM

@AorakiTrading Yeah, I wouldn’t have taken positions if they didn’t get 2 hyperscaler agreements. One large $MSFT contract as seen with $NBIS would likely cause a massive rerating for a small energy company like $FLNC. But they had 2, not just 1

@aleabitoredditMay 7, 2026 · 5:43 PM

@Kevin1151268 Uhh… going all in is never the best idea. But on the bright side $FLNC has two new hyperscaler deals not included in their massive backlog / financials yet. Supplying to two different hyperscalers is enormous for a company this size, who knows how big the contracts are.

@aleabitoredditMay 7, 2026 · 5:33 PM

@Simipandaface As a disclosure, I only have shares. Don't like options on high IV stocks like $FLNC as a general rule of thumb.

@aleabitoredditMay 7, 2026 · 5:30 PM

@pennycheck Yeah not sure why many funds like directionality shorting US energy companies... Having 2 hyperscaler deals convert sometime in the next few months with unknown figures is probably scary for them. Would probably make them derisk $FLNC over time, adding to buying pressure.

@aleabitoredditMay 7, 2026 · 5:09 PM

Agreed high-level directionally, $FLNC compelling at $3B valuation post-earnings after taking a closer look. Very rare to see a US energy player that small get 2 direct Hyperscaler deals... The $5.6B+ backlog derisks the company growth, not including new hyperscalers backlog like $GOOGL or $MSFT. The hyperscaler deals were framework agreements, which are likely to convert "soon" Q3 this year, and aren't included in numbers. Once that's released it's major positive catalyst, similar to qualification -> volume ramp in semi players. Citi Analyst: "The possibility of a hyperscaler order will likely overshadow everything else in the quarter. We expect a positive reaction to the announcement" I'm going to go ahead and guess they'll likely rerated once they announce their hyperscaler orders maybe anytime in the next 3 months so I jumped on the boat as a short term catalyst trade. (not just 1 but 2) Also, if they hit ~$288M net income off gross-margin expansion ($6B revenue, 13.0% gross margins) from their software segment expansion, ~11.6x fwd p/e for 2027. The current stock price is -50% Feb's prices despite hyperscalers + backlog de-risking the company looks like a great entry point to me (NFA).

@kaizen_investorMay 7, 2026 · 2:44 PM

Just listened to the earnings call from $FLNC and decided to add to my position at $16.67. The earnings were spectacular in my opinion. Yes, they missed revenues due to a delayed shipment of $80 million, but the backlog keeps rising and Fluence management is confident they can deliver. 50% of the backlog comes from new customers and the main part of this backlog is for datacenter purposes. The datacenter backlog is around 12 GW, with the major part of this connected to 2 hyperscalers. To give you an idea, Fluence now have around 22GW deployed or contracted globally. So, this is a major deal. They announced 2 MSA's with major hyperscalers and are expecting a first order in Q3 already. They also said that they would speed up delivery for these hyperscalers and are expecting deliveries within a year. So, we should see first revenues from these deals in 2027. They also explained the heavy selection process for these hyperscalers. Apparently 26 companies were notified, but due to the difficult technical specifications most of the companies could not fit the standards. The main reason they were able to agree these MSA's was due to the fact that their technology is already proven. He spoke about the Fluence lab, so I suppose these Hyperscalers visited the lab and approved. The main focus remains on top-line growth. There were some questions about the high OPEX costs in percentage of revenues but Fluence want to control these by growing revenues instead of lowering costs. Happy to have started a stronger position here. Datacenters are looking for high quality of power to get them through the fluctuations and it looks like Fluence can provide it. Now valued at $3.4B with a $5.6B backlog, still looks pretty cheap.

@kaizen_investorMay 6, 2026 · 9:10 PM

@crwdvstr If you want battery exposure for datacenters, take a look at $FLNC

@investmentguru_May 6, 2026 · 8:48 PM

$FLNC AH https://t.co/ur6fdRwclC

@kaizen_investorMay 6, 2026 · 8:44 PM

$FLNC up 24% after they announced a supply deal with two major hyperscalers and a record backlog of $5.6B. They missed revenue estimates but fixed the margin issue of last quarter. - Orders doubled to $2 billion year-to-date: This highlights explosive sales momentum. In just a few months, Fluence booked twice as much new business as they did during the same period the previous year. - Signed supply deals with two major hyperscalers: Because AI computations require immense, uninterrupted power, these companies are turning to utility-scale battery storage to ensure 24/7 reliability and to meet their strict clean energy mandates. Securing master agreements with two of them opens up a massive, highly lucrative customer base with incredibly deep pockets. - Record $5.6 billion backlog secures future visibility: Sitting on $5.6 billion worth of guaranteed future work provides Fluence with a massive financial safety net. For the market, this kind of visibility drastically reduces the risk surrounding the company's future revenue, showing they have years of locked-in growth ahead. - Smartstack’s first delivery marks a technical milestone: Smartstack is Fluence's latest high-density battery platform. It uses a unique split-architecture modular design that separates the battery cells from the system's brains (the cooling and control units). This innovation solves major logistical headaches: it removes the need for massive heavy-lift cranes, makes shipping much easier, and packs 30% more energy into the same physical footprint. Will listen to the earnings call tomorrow as well. Tempted to buy more $FLNC after these earnings.

@kaizen_investorMay 2, 2026 · 10:23 PM

@bennybigbull They reported missed margins due to 2 mismanagement projects. Stock didn’t drop that much on the earnings as market believed management. But when $EOSE reported earnings and missed all guidances, all of a sudden $FLNC got dumped as well. Fluence has a backlog of $5b, which is enormous. They just need to prove they can get margins under control. If they can’t prove that next week, I’m affraid I have to sell for now.

@kaizen_investorMay 2, 2026 · 8:57 PM

@bennybigbull Why did you sell $AMPX? Yes, still in $FLNC but due to the bad run, it’s my smallest position. Will decide after the earnings next week if I’ll buy some extra or sell.

@kaizen_investorMay 1, 2026 · 3:10 PM

The rating of my current holdings according to this framework. $GOOGL: 97/100 Alphabet’s management operates with relentless execution and immense capital discipline. While the sheer, absolute dollar magnitude of their stock-based compensation remains staggering, their aggressive share repurchases, strict strategic focus on monetizing AI infrastructure, and transparent, data-backed communications make them elite operators who are successfully defending one of the largest economic moats in existence. $FTC: 96/100 Filtronic’s management team under CEO Nat Edington demonstrates an exceptional, almost robotic level of operational execution and capital discipline. By leveraging their core RF and mmWave competencies to secure and execute massive, binding contracts in the LEO space and defence sectors, management has consistently over-delivered on guidance without diluting shareholders, reflecting the highest tier of corporate integrity and competence. SK Hynix: 93/100 SK Hynix’s management team operates with absolute, ruthless operational efficiency, cementing a near-monopoly in the highest-margin sectors of the AI hardware supply chain. While their corporate governance reflects a traditional Korean chaebol structure—meaning individual executives hold virtually zero personal equity—their technical execution, capital discipline, and balance sheet mastery currently represent the gold standard in the global semiconductor space. $ASM.AS: 92/100 ASM International’s management team demonstrates exceptional execution, operational visibility, and capital discipline. While lacking the high insider ownership typical of aggressive, founder-led companies, their pristine balance sheet, brutally accurate multi-year financial forecasting, and active share buyback programs firmly establish them as highly trustworthy stewards of shareholder capital. $OUST: 90/100 Ouster, Inc. (OUST) presents a rare profile in the pre-profit / early-commercialization hardware space: a management team that actually executes on its roadmaps. Led by CEO Angus Pacala, the company has demonstrated strict operational discipline, successfully commercializing its digital lidar technology while maintaining a fortress balance sheet. While historical share dilution from strategic M&A requires monitoring, management’s transparency regarding one-time revenue events and their consistent delivery of hardware margins earn them an elite rating. $PL: 89/100 Planet Labs (PL) is a rare anomaly in the high-growth space: a former SPAC that actually survived its cash-burn phase and successfully transitioned into a free-cash-flow-generating enterprise. While management's equity compensation remains slightly elevated, their exceptional track record of launching highly complex hardware on schedule and their disciplined, jargon-free focus on securing massive government contracts demonstrates supreme execution and integrity. $MRVL: 88/100 Marvell’s management team operates with high technical competence and ruthless strategic clarity, successfully transforming the company from a broad-based silicon provider into a highly focused AI data center powerhouse. While management has faced cyclical headwinds in legacy segments that triggered some guidance volatility, their ability to aggressively hit engineering milestones for custom AI silicon and responsibly manage capital allocation reflects elite, tier-one execution. $PLTR: 87/100 Palantir Technologies (PLTR) features a visionary, high-conviction management team that consistently executes on commercial expansion and product delivery at a scale few enterprise software companies can match. While their aggressive stock-based compensation and slight equity dilution trigger mechanical deductions, their ability to drastically over-deliver on forward guidance and perfectly align capital deployment with their core Artificial Intelligence Platform (AIP) establishes them as elite operators. $TMDX: 87/100 TransMedics Group (TMDX) possesses an elite, execution-focused management team that has successfully transformed the company from a capital-intensive med-tech startup into a vertically integrated, cash-flowing logistics and clinical powerhouse. While minor deductions are warranted for recent share dilution and stock-based compensation levels, management’s flawless delivery on ambitious infrastructural timelines and mathematically transparent communication earn them near-maximum trust. $HIMS: 85/100 Hims & Hers Health, Inc. (HIMS) is operated by an aggressively competent management team that has successfully transitioned from a cash-burning SPAC into a highly profitable, cash-flowing entity. While historical share count expansion requires ongoing scrutiny, their ability to execute against stated timelines, beat forward guidance, and seamlessly expand their core direct-to-consumer moat into highly lucrative verticals borders on clinical precision. $RKLB: 79/100 Rocket Lab (RKLB) boasts a highly accountable, founder-led management team that excels in strategic focus and transparent communication, successfully transitioning the company into a space systems and defense prime contractor. While the persistent delays of their heavy-lift Neutron rocket require notable deductions, the company’s ability to consistently meet financial guidance and maintain technical integrity makes them a standout in the capital-intensive aerospace sector. $AMPX: 75/100 Amprius Technologies’ management team exhibits high-level execution regarding product iteration and revenue growth, but this comes at a severe cost to retail equity holders. While the team successfully transitioned the company toward profitability by ruthlessly pivoting to a fabless contract-manufacturing model, their aggressive share dilution and the quiet abandonment of their flagship domestic manufacturing plans reveal a management team that prioritizes survival and top-line growth over pristine shareholder alignment. $FLNC: 73/100 Fluence Energy (FLNC) presents a complex profile of elite financial backing and strong insider alignment, severely undercut by chronic project execution issues and lumpy guidance misses. While management operates with a fortress balance sheet and refuses to artificially pump the stock with trending AI buzzwords, their inability to consistently defend gross margins and deliver predictable quarterly revenues makes them a volatile, high-risk operator in the utility-scale energy storage sector. $IREN: 35/100 IREN (formerly Iris Energy) presents as a highly promotional, capital-intensive infrastructure play that relies heavily on retail shareholder dilution to fund its shifting ambitions. While management has successfully secured impressive debt financing and massive power capacities, their chronic inability to hit original timelines, massive expansion of the share count, and blatant narrative pivot from Bitcoin to Artificial Intelligence reflect a team that prioritizes growth at the direct expense of shareholder equity.

@kaizen_investorMay 1, 2026 · 11:33 AM

April was probably my best month ever with a return of 48.49%. Raised some cash this month with the sales of $POET, $HOOD and $CROWD. The only buy I made this month is $FTC. Would love to add a bit to my filtronic position as it is only 4.5% of my portfolio at the moment. Want to make them one of my core holdings but waiting for a better moment to buy. I'm currently up 30% on the stock in 2 weeks. 45% of my holdings report next week, will make a more detailed tweet about that, but I will be mainly looking at $TMDX and $FLNC. Those are my worst performers and are now sitting beneath 3% allocation. Earnings will decide if I'll let them go or buy some extra. At the moment I'm looking at some companies to add but I also want to move to a more concentrated portfolio of 12 stocks. So, will probably do some more trading this month. I'm always transparent and you can follow all the moves I make on my page.

@investmentguru_Apr 30, 2026 · 11:12 AM

10 stocks at a serious buying opportunity right now- $BB — QNX royalty backlog hits $950M, new automotive wins, guiding $100M operating cash flow FY27 $QS — Eagle Line live, $970M cash runway through 2029, earnings April 22 with 20% short float $SOUN — Just posted a 200%+ EPS beat, voice AI expanding fast, next earnings May 7 $VLN — 7 straight quarters of growth, 62% gross margins, zero debt, 4 ADAS design wins locked in $FLNC — Fluence Energy, grid-scale battery storage leader riding the AI power demand wave $SIDU — Sidus Space, small-cap space data & satellite play at deep discount levels $BBAI — defense-grade AI analytics with growing government contract pipeline $KULR — Thermal management tech for batteries, EVs & space — NASA-validated, scaling fast $KITT — Nauticus Robotics, autonomous underwater vehicles for defense & offshore energy $LAES — SEALSQ Corp, quantum-resistant semiconductors & cybersecurity chips for the post-quantum era The macro selloff didn’t break these businesses — it discounted them. Not financial advice

@investmentguru_Apr 25, 2026 · 11:41 AM

The AI Infrastructure Bottleneck AI demand isn’t slowing. It’s colliding with reality. Power costs are rising. Communities are pushing back. Permits are getting harder. Project cancellations are climbing. This isn’t weak AI demand. This is infrastructure hitting its ceiling. Compute scaled in 18 months what normally takes a decade. Data centers went from background infrastructure to the most power-hungry real estate on earth — almost overnight. Utilities weren’t ready. Grids weren’t ready. Permitting systems built for a slower world weren’t ready. So now you have the most capital-rich companies in history competing for a fixed, constrained resource: Megawatts. That collision created a new capital cycle: AI → Energy → Infrastructure The market hasn’t fully priced the downstream implications yet. When datacenter capacity gets delayed or cancelled, the reflex is to ask: “Is AI demand softening?” Wrong question. The right question is: “Who benefits when supply tightens?” Less derisked capacity doesn’t reduce demand. It concentrates it. And concentrated demand is a pricing event. When power supply tightens: → Frontier labs fight for compute at premium pricing → Hyperscalers delay expansion timelines, reshuffling capex → Chip, memory, ASIC, and CPU ecosystems feel the ripple — not because demand died, but because deployment slowed → Whoever controls reliable, permitted, grid-connected power becomes the most valuable asset in the AI stack This is the Silicon-to-Substation Shift. Just like bandwidth defined the internet era — whoever controlled the pipes controlled the economy — reliable power generation is becoming the defining constraint of the AI economy. The bottleneck has moved up the stack. The market always chases the obvious trade first. $NVDA. $AMD. Memory. Networking. The picks and shovels everyone already knows. But when the bottleneck shifts — the alpha moves too. Right now, the bottleneck isn’t silicon. It’s megawatts, transformers, transmission lines, and building permits. The second-order trade is where the real opportunity lives — across five infrastructure layers most investors haven’t rotated into yet: Power Generation Nuclear is back. Natural gas is back. Utilities signing 20-year offtake agreements with hyperscalers. The cleanest, most reliable, 24/7 baseload power is suddenly the scarcest commodity in tech. $VST → baseload + nuclear, direct hyperscaler relationships $CEG → largest nuclear operator in the US, massive AI offtake pipeline $SMR / $OKLO → next-gen modular nuclear, secular long-term positioning Grid Infrastructure Transformers. Substations. Transmission lines. The hardware between the power plant and the server rack is now a national bottleneck — with multi-year lead times. $PWR → grid construction & transmission at scale $ETN → electrical components backbone, transformer exposure, margin expansion Energy Storage Intermittent renewables can’t power AI campuses alone. Grid-scale battery storage and microgrid systems bridge the gap — especially as utilities demand more dispatchable flexibility before approving new load connections. $FLNC → utility-scale storage, growing backlog, grid stabilization play Cooling Infrastructure A 100MW AI cluster generates extraordinary heat density. Air cooling is dead at scale. Liquid cooling, immersion systems, and thermal management are now standard spec in every new hyperscale build — one of the most underappreciated sub-themes in the entire stack. Datacenter Construction & Power Systems Before a single GPU goes online — somebody pours the concrete, runs the conduit, installs the switchgear, and commissions the facility. Construction and power systems backlogs are extending years out. $STRL → datacenter construction, revenue inflecting hard $BW → industrial power systems, 1.2GW AI datacenter deployment The thesis is simple: AI isn’t running out of demand. It’s running into megawatts. Not financial advice.

@investmentguru_Apr 23, 2026 · 10:18 AM

THE ENERGY MAP: Every Source, Every Play Global energy investment just crossed $3.3T in 2025 — with $2.2T flowing into clean tech alone, 2× fossil fuels. The AI data center supercycle has changed everything. Power is now the bottleneck. Access to electricity > land, labor, connectivity. Here’s how the landscape is shaping up NUCLEAR — Highest Conviction The renaissance is real. Record generation, 63 reactors under construction, SMRs gaining traction with hyperscaler demand. → AI + baseload = nuclear wins Plays: $CEG $CCJ $OKLO $SMR $NNE $LEU $DNN $LTBR BATTERY STORAGE — High Conviction The backbone of 24/7 clean energy. Explosive growth + massive pipeline into 2030. → Solar pairing + grid stability + data center demand Plays: $TSLA $FLNC $STEM $AMPS $KULR $QS $MVST $AMPX GRID INFRASTRUCTURE — The Real Winner - No matter who wins, the grid must scale. Massive capex cycle just starting. → AI load + EVs + electrification = multi-year demand Plays: $CEG $NEE $ETN $PWR $VRT $HUBB $VST $AES SOLAR — Selective Still scaling globally, but policy shifts create winners & losers. → Data center PPAs absorbing higher costs Plays: $FSLR $ARRY $ENPH $NEE $RUN GEOTHERMAL — Stealth Play Underrated baseload. EGS unlocking new regions. → 24/7 clean energy = perfect for hyperscalers Plays: $CEG $ORKA $NEE NAT GAS / LNG — Bridge Fuel Not going anywhere. Reliability matters. → AI demand + LNG exports = strong tailwind Plays: $LNG $AR $EQT $SLB $HAL WIND — Watchlist Onshore steady, offshore challenged (policy + cost). → Europe still bullish Plays: $GEV $NEE $CWEN $BEP HYDROGEN — Speculative High risk, long-term potential. 2026 is pivotal. → Industrial demand is the key Plays: $PLUG $BE $LIN HYDRO — Stable Compounder Reliable baseload + long-duration storage. → Quiet outperformer in volatile markets Plays: $BEP $CWEN $NEP THE MACRO FRAME This is no longer just a climate transition. It’s a national security + AI infrastructure race. Capital flow trend: Semis → Memory → Photonics → Power & Energy → Robotics We are entering the Power wave Position accordingly. The grid wins regardless. Not financial advice. Like and share

@investmentguru_Apr 22, 2026 · 1:14 AM

10 stocks at a serious buying opportunity right now- $BB — QNX royalty backlog hits $950M, new automotive wins, guiding $100M operating cash flow FY27 $QS — Eagle Line live, $970M cash runway through 2029, earnings April 22 with 20% short float $SOUN — Just posted a 200%+ EPS beat, voice AI expanding fast, next earnings May 7 $VLN — 7 straight quarters of growth, 62% gross margins, zero debt, 4 ADAS design wins locked in $FLNC — Fluence Energy, grid-scale battery storage leader riding the AI power demand wave $SIDU — Sidus Space, small-cap space data & satellite play at deep discount levels $BBAI — https://t.co/Y0xPQI98FT, defense-grade AI analytics with growing government contract pipeline $KULR — Thermal management tech for batteries, EVs & space — NASA-validated, scaling fast $KITT — Nauticus Robotics, autonomous underwater vehicles for defense & offshore energy $LAES — SEALSQ Corp, quantum-resistant semiconductors & cybersecurity chips for the post-quantum era The macro selloff didn’t break these businesses — it discounted them. Not financial advice

@kaizen_investorApr 7, 2026 · 5:06 PM

The market is de-risking and we see that in the energy storage wave. Nuclear and ES are the most speculative waves and the P/S of those two drops significantly. The P/S of the ES wave dropped from 3.98 to 3.27, thanks to some big drops from $EOSE, $FLNC, $ENVX and $CATL. Contemporary Amperex Technology is still by far the most important stock in the wave. The revenues grew by 14% QoQ and 20% YoY while the market cap dropped 7% QoQ and grew 40% YoY. The most speculative companies in the sector dropped more than 50% in the last quarter. This wave is lucky that CATL and LG are far more important than the little speculative ones or this wave would have been catastrophic. I have exposure to this wave thanks to $FLNC. I expect the importance of energy storage to increase in the coming years. It can still take a while though.

@kaizen_investorApr 7, 2026 · 5:06 PM

Q4 Energy transition update. I follow 7 big energy waves to keep track of the transition. Wind: $GEV, SIFG, ORSTED, $CDLR, PNE, NDX, VWS, Goldwind, Windey Green Hydrogen: $PLUG, $NEL, $ITM, TKA, LHYFE, $H2O, HYPRO, BLDP, CWR, FCEL Solar: $FSLR, $ENPH, $NXT, $TE, SMA Solar, Sunrun, Shoal, Longi, Jinko, Trina Energy Storage: $FLNC, STEM, $EOSE, NRGV, IES, $AMPX, $ENVX, CATL, LG, Gotion Nuclear: $BWXT, $SMR, $LEU, ASY, $CCO, Kazatomprom, $OKLO, NXE, UEC, DML LNG: $LNG, $VG, $EE, DLNG, GTT, CCEC, Kunlun, Petronet, ADNOC Mixed companies: $NEE, $VST, $CEG, $BE, $AES, $DUKE, $IBE, $RWE, $ENEL, $D Find out the details here 👇

@kaizen_investorApr 6, 2026 · 7:29 PM

@ErezIdan @FinnStockinger Did sell $HOOD not $FLNC

@kaizen_investorApr 5, 2026 · 6:39 PM

Kaizen Portfolio update of March. My portfolio was up 6.9% this month. My top 4 positions outperformed the rest of my porftolio. $PL reported great Q4 results and are up 45% this month. $PLTR is up 7% and $RKLB 2%. $AMPX also reported excellent results and is surfing on a growing drone wave, they are up 45% this month. I initiated 4 new positions: $OUST, $POET, $MRVL and SK Hynix. I'm up 15% on Marvell, the other positions are flat. I also bought some extra shares of $HIMS. I think they are ideally positioned to catch the GLP-1 wave and I'm happy to keep DCA'ing into the company. On the other end of the spectrum $TMDX dropped 25% this month. $HOOD, $FLNC, and $IREN dropped around 7%. I'll see what tomorrow brings as Trump keeps controlling the markets. I'm at 20% cash at the moment, will be looking to get this down to 10% this month. I'm also looking to get more concentration in my portfolio. I'm lookin gto add 1 new position and will probably sell 5 to 6 positions. This shold bring my total holdings down from 16 to 11. Will keep you posted.

@kaizen_investorApr 3, 2026 · 4:22 PM

@luismanuecx Hi Luis, sorry for the late response. Just made a post about it, think trust in the sector is gone. But nothing new for $FLNC that you missed.

@kaizen_investorApr 3, 2026 · 4:21 PM

The new energy wave had a difficult Q1 2026. Nuclear $OKLO: -38% $SMR: -37% Energy grid $EOSE: -61% $FLNC: -42% Solar: $TE: -46% $FSLR: -29% Hydrogen: $TKA: -20% $PLUG: +8% I own $FLNC who reported disappointing results but really got hammered when $EOSE reported earnings. The trust in management in this sector is completely gone. I don’t expect a turnaround until next earnings. But think the energy grid remains critical and $FLNC is ideally positioned. I hold my position which is currently down 27% for me. It is my smallest position and only 3% of my portfolio.

@kaizen_investorMar 4, 2026 · 3:09 PM

$FLNC is a $2.8B company with a record $5.5B backlog, surfing one of the fastest-growing waves in the energy transition: energy storage.

@kaizen_investorMar 4, 2026 · 10:12 AM

@luismanuecx That's a great point. The margin problems they had in the Q4 earnings call, where due to 2 mismanaged projects. So, that should be solved in the next quarter. But margins should grow beyond these mismanaged projects. The fact is that $FLNC is now mainly getting profit from assembly and selling their backery packages. On these packages they sell their AI-tool to manage electricity costs. This tool is how they will boost their margins, it's a subscription that customers pay each month. So, the more battery packages they have in the field, the more high-margin subscriptions they can sell. For this reason, I expect the margins to continue to rise.

@kaizen_investorMar 3, 2026 · 8:52 PM

Fluence follows an asset-lite model. They don't manufacture the actual battery cells but instead, they buy them from top global suppliers and integrate them into their proprietary Smartstack or Gridstack systems. These units are factory-assembled and plug-and-play, which reduces expensive on-site construction time and allows $FLNC to quickly adopt the newest, cheapest battery chemistry available.

@kaizen_investorMar 3, 2026 · 8:18 PM

$FLNC remains a massively misunderstood play in the global clean energy supercycle. Based on their transition from hardware to software and an explosive AI data center pipeline, I see a clear path to aggressive upside. Price target: $15.12 -> $41.80 Most investors look at Fluence Energy and see a low-margin hardware assembler. They see supply chain risks, erratic profitability, and massive working capital drains. They are missing the forest for the trees. Fluence is not just a battery construction company. Fluence is rapidly evolving into a high-margin, AI-driven energy software and services monopoly, using physical batteries simply as the customer acquisition channel. Here is the thesis for $FLNC based strictly on the fundamentals, the unique unit economics revealed in their financial filings, and their massive $5.5 billion contracted backlog. 1. The Trojan Horse Economics (The Margin Story) This is the single most important concept in the Fluence Energy bull case, and it completely reframes their volatile hardware margins. Traditional energy storage competitors are fighting a race to the bottom on raw lithium-ion cell pricing. Fluence operates an asset-lite Trojan Horse model: The Hardware (The Hook): They integrate third-party battery cells into proprietary enclosures like the Gridstack and sell them as massive infrastructure projects. Yes, this is capital intensive and low margin. The Software (The Catch): The physical hardware sale is merely an acquisition channel. Once deployed, Fluence layers on their Fluence IQ platform (Mosaic and Nispera). The Unit Economics: They sell the hardware once, but collect high-margin Software-as-a-Service (SaaS) subscription revenues for the 20-year lifespan of the asset. Annual Recurring Revenue (ARR) is already at $148 million and targeting $180 million by the end of FY2026. 2. The Unreplicable Moat: High Switching Costs & AI Network Effects Competitors like Sungrow and BYD can flood the market with cheap, subsidized Chinese batteries. But they cannot replicate Fluence's digital moat. Total Vendor Lock-in: Once a Fluence system is integrated into a utility substation, ripping and replacing it is virtually impossible due to interconnection complexities and proprietary hardware-software integration. The Data Flywheel: The Mosaic AI bidding software doesn't just monitor batteries, it trades energy. It currently processes telemetry from over 16 GW of assets across the world's most volatile energy markets. Algorithmic Superiority: As Mosaic ingests more market data, its predictive trading models improve, allowing Fluence to claim up to a 50% revenue increase for asset owners compared to manual trading. This creates a massive barrier to entry for smaller software developers trying to replicate this intelligence. 3. Financial Stability The clean energy sector is known for capital-intensive bankruptcies. While Fluence undeniably burns cash to secure battery inventory, look at their liquidity and pedigree. Cash & Liquidity: They hold $452.6 million in cash and cash equivalents, with total available liquidity standing at roughly $1.1 billion. The Siemens/AES Backstop: Fluence was born as a joint venture between Siemens AG and The AES Corporation. Their financial stability and market bankability are implicitly backstopped by these global industrial heavyweights. 4. The Quality of Revenue & Pricing Power Reviewing the top line reveals why this is a highly defensible asset. Explosive Growth: In Q1 FY2026, revenue surged 154.4% year-over-year to $475.23 million. Visibility: They are sitting on a $5.5 billion contracted backlog and a $23+ billion project pipeline, virtually de-risking their near-term revenue targets. The IRA Premium: While Chinese competitors are locked out of the U.S. by severe tariffs, Fluence localized its manufacturing in Utah. By offering Inflation Reduction Act (IRA) compliant domestic content, Fluence allows customers to unlock a 10% tax credit, giving them immense pricing power in North America. 5. The Sleeping Giant: AI Data Centers We are seeing a massive structural shift in energy demand. Training massive LLMs requires unprecedented electricity, and global data center power demand is projected to quintuple. Hyperscalers need 24/7 firm, decarbonized power. Fluence is already sitting on a rapidly expanding pipeline of over 30 GWh of data center projects. As the AI boom accelerates, Fluence's storage solutions transition from green energy mandates to mission-critical tech infrastructure. The Valuation Disconnect The market is currently treating $FLNC like a low-margin construction company, pricing it at a remarkably suppressed Price-to-Sales (P/S) multiple of roughly 0.8x. Normalization of gross margins and the rapid scaling of the software division. If Fluence hits its $180M ARR target and continues compounding its high-margin SaaS revenue, the market will be forced to re-rate this stock. Summary: You are looking into a premier, top-tier global energy transition player with a $5.5B backlog for a fraction of its future software earning power. When Wall Street finally realizes this is a high-margin AI/Data trading play attached to a battery, and not just a hardware assembler, the multiple expansion will be violent.

@kaizen_investorFeb 27, 2026 · 9:33 PM

February Portfolio Recap February Performance: -15.6% Year-to-Date (YTD) Performance: -0.9% If you only looked at February, you might think the sky was falling. A -15.6% drop in a single month sounds brutal on paper. But as investors, we have to zoom out. My YTD performance is basically flat at -0.9%. What does that tell us? It tells us that January was a massive, euphoric run-up, and February was simply the market digesting those gains. Here is a look under the hood at what happened this month, and why my conviction remains unchanged. 1. The Valuation Reset in AI & Software The biggest drag on the portfolio this month came from my highest-conviction tech and software names: $PLTR, $CRWD, $NET. Did the fundamentals of these businesses break? Absolutely not. Many of them reported stellar earnings, massive revenue growth, and expanding free cash flow. But when stocks are priced for perfection, the market will eventually force a multiple compression. Institutional investors took their profits after a hot start to the year, and valuations simply took a breather. The underlying businesses are executing flawlessly. 2. The High-Beta Edge This portfolio is intentionally designed for aggressive, disruptive growth. Holdings like $PL, $RKLB, $IREN, $TMDX, $HIMS, $HOOD, $FLNC, and $AMPX are high-beta by nature. When the market is in a risk-on mood, these names fly. When the market pivots to risk-off, they pull back disproportionately. Volatility is simply the price of admission for owning the next generation of market leaders. 3. The Anchors Doing Their Job It wasn't all extreme volatility. My semiconductor and foundational holdings: $ASML, $ASMI, $HOLN, $NU and $GOOGL remained resilient. These companies provide som structural, low-beta support that kept the total YTD drawdown near zero while the tech sector repriced itself. The Strategy Going Forward: Masterly Inactivity I didn't make a single trade this month. No panic selling, no chasing trends, no trying to time the bottom. Doing nothing is an active choice. When you own a concentrated basket of highly disruptive companies, the worst thing you can do is interrupt compounding because of a 30-day sentiment shift. The portfolio is built for the long term, the theses for these 16 companies are intact, and I am perfectly comfortable letting the businesses do the heavy lifting while the market sorts out its feelings.

@kaizen_investorFeb 27, 2026 · 8:36 PM

@ElliotWaveBull Don’t agree with the $FLNC and $EOSE take. There are in a completely different boat.

@kaizen_investorFeb 27, 2026 · 3:54 PM

My take on the production problems at $EOSE and $FLNC, and mainly, why there is a major difference. The energy storage sector is experiencing exponential demand right now, driven by utility-scale renewable projects and the rise of power-hungry AI data centers. However, scaling up hardware production remains a capital-intensive and operationally fraught challenge. Based on the latest quarterly filings from Fluence Energy and Eos Energy Enterprises, both companies are facing production and margin headwinds. Yet, the nature and severity of these problems are vastly different. Eos Energy: The Automation Struggle Eos Energy’s Q4 2025 earnings report delivered a harsh reality check, sending the stock plummeting. While the company achieved a record $114.2 million in full-year revenue, it severely missed its Q4 revenue targets, bringing in $58 million against a forecasted $92.8 million. The core of Eos's struggle lies in its ambitious initiative to scale its novel aqueous zinc-halide battery manufacturing. Management pointed to significant challenges in achieving quality targets on their new automated bipolar production lines. The inability to maintain consistent quality off the automated line has resulted in high equipment downtime, isolated supplier non-conformances, extensive product rework, and ultimately, lost revenue that missed Q4 guidance. While $EOSE touted a margin improvement, the reality is that their 2025 gross loss was a massive $143.8 million. It currently costs Eos significantly more to build their batteries than they can sell them for. Fluence Energy: Hiccups on a Profitable Path Fluence’s Q1 FY2026 earnings also shocked the market, though for entirely different reasons. The company delivered a massive 154% year-over-year revenue surge to $475.2 million but saw its adjusted gross margin shrink to 5.6%, well below its 11%–13% target. However, Fluence’s production and margin issues are tied to discrete contract execution rather than fundamental technology scaling problems. The bulk of the margin compression was tied to $20 million in extra, project-specific costs stemming from scope and schedule changes on two non-U.S. projects. $FLNC has also dealt with a slower-than-expected production ramp at its recently commissioned U.S. manufacturing facilities, but management noted that module production is now running ahead of plan. Management noted that corrective actions are already in place, domestic cell supply chains are secured for the year, and they fully expect to recover the discrete contract costs from their customers. The fundamental difference If you look at the raw stock reactions, both companies were heavily penalized by the market following their respective earnings calls. However, a deeper look at their financial health shows that Fluence's situation is a temporary operational hurdle, while Eos is fighting a structural battle for survival. When comparing their recent filings directly, the stark contrast in financial health becomes obvious. Fluence generated $475.2 million in revenue over its latest quarter while maintaining a positive 5.6% adjusted gross margin, backed by a robust $1.1 billion in total liquidity. In contrast, Eos reported just $58 million in revenue for Q4 2025, falling well short of forecasts, and posted a staggering full-year net loss of $969.6 million. Eos continues to operate with deep negative gross margins and relies heavily on complex financing, equity dilution, and debt to maintain its $625 million cash position. The distinction is clear: Fluence's products are structurally profitable. Even with a disappointing quarter, they make a gross profit on what they sell. Eos, on the other hand, is still trying to figure out how to manufacture its proprietary tech at scale without losing money on every unit that rolls off the line. The Verdict: Why I Choose Fluence Over EOS Energy For investors weighing the energy storage sector, Fluence offers a much more compelling and de-risked value proposition compared to Eos Energy. Fluence is a battery-agnostic systems integrator relying primarily on proven lithium-ion technology. Their primary challenge is supply chain management and contract execution. Eos is trying to commercialize a totally new zinc-based chemistry via complex, untested automated manufacturing. Fluence is also sitting on a record $5.5 billion backlog, which fully covers the midpoint of their entire $3.4 billion revenue guidance for fiscal 2026. Eos's backlog sits at $701.5 million, and their revenue visibility is constantly threatened by their inability to get functional product out the door on time. Eos's massive 2025 net loss of nearly $1 billion (though largely driven by non-cash items) highlights a highly speculative business model that requires constant capital injections. Fluence operates from a position of strength with $1.1 billion in liquidity and a clear, reaffirmed line of sight toward adjusted EBITDA profitability for the year. Ultimately, $FLNC is a maturing market leader dealing with the growing pains of a massive global backlog. $EOSE is an early-stage speculative play still trying to prove its factory can build a profitable product. With $FLNC at $2.86B market cap and $EOSE at $2B market cap, this is an easy decision for me.

@kaizen_investorFeb 27, 2026 · 3:09 PM

My unpopular opinions Mag 7: $GOOGL > $NVDA Energy storage: $FLNC > $EOSE Drone industry: $AMPX > $ONDS Pharma: $HIMS > $NVO Space Economy: $PL > $ASTS Datacenter: $IREN > $NBIS Banking: $NU > $SOFI

@kaizen_investorFeb 26, 2026 · 11:37 PM

@AlphaOwlTrading Not at all, got $FLNC in portfolio. But not every energy company is going to make it. Numbers and management is not looking good for EOS.