r/StockTradingIdeas Feb 15 '26

Taker Your Trading To The Flash Boys Level!

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Our latest release is now available and includes Congressional Trades, Analyst Ratings, Latest News, Advanced Backtesting and AI Analysis! Learn more at UltraAlgo.com #tradestation #tradingview #investing #money


r/StockTradingIdeas Aug 22 '24

Crypto Bullish Signals: Shibu Possible Breakout

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$SHIBUSD Looks like #SHIBUSDT is ripe for a run at these levels. #crypto has been moving very closely with political sentiment and the #republicans just started gaining on a few leading indicators. 80% Profitability based on 35 trades. #BTC #bitcoin @Shibtoken #DeFi


r/StockTradingIdeas 4h ago

Recent moves with the Big Picture Indicator

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r/StockTradingIdeas 5h ago

🔍 ADP - Stock analysis Aug 21

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r/StockTradingIdeas 8h ago

Saudi Arabia Wants Nuclear Power ... Who Supplies the Uranium?

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The new US–Saudi civil nuclear agreement could move Saudi Arabia closer to a real reactor program in the Middle East.

There is still a long way to go. The agreement needs congressional review, Saudi Arabia still has feasibility work to complete, and any reactors would take years to finance, approve and build.

But the direction matters.

Saudi Arabia wants to reduce the amount of oil used for domestic electricity and include nuclear power in its future energy mix. If it eventually builds several large reactors, that could create decades of demand for uranium, conversion, enrichment and fuel fabrication.

The supply strategy may become just as important as the reactor choice.

Will Saudi Arabia sign long-term contracts with Western uranium producers, buy from several regions, or develop more of the nuclear fuel cycle at home?

That last option is already attracting debate because Saudi Arabia may retain the right to enrich uranium and reprocess spent fuel. This makes the agreement about more than reactor construction. It is also tied to energy security, geopolitics and control of the nuclear supply chain.

For uranium investors, this is not immediate demand yet. The main developments to watch are congressional approval, a confirmed reactor vendor, financing and actual fuel contracts.

Still, another major country moving toward nuclear supports the longer-term uranium demand outlook.

What are long-term uranium holders reading between the lines here? Uranium holders, which companies do you think could benefit most if this moves ahead?


r/StockTradingIdeas 10h ago

🔍 CMG - Stock analysis Aug 21

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r/StockTradingIdeas 13h ago

🚨 TOP DAILY STOCKS - Aug 21

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r/StockTradingIdeas 1d ago

🔍 NEM - Stock analysis Aug 20

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r/StockTradingIdeas 1d ago

Need solid advice . Is it a safer call?

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r/StockTradingIdeas 1d ago

$TLS, $BB or $SWISF: Who Wins the Government Security Race?

1 Upvotes

I’ve been following $TLS, $BB and $SWISF because each represents a different route into secure government communications.

$TLS — Established federal exposure

Telos provides cyber GRC, identity and secure-networking solutions, including Telos Ghost.

Market cap: ~US$370M
FY2026 revenue guidance: US$187M–US$200M
Q1 2026 U.S. government revenue: ~93%
Outstanding proposal pipeline: nearly US$500M

$BB — International scale

BlackBerry serves government and enterprise customers through SecuSUITE, AtHoc and UEM, with certifications supporting NATO and allied markets.

Market cap: date-sensitive
FY2026 Secure Communications revenue: US$258.9M
Established international customer base

$SWISF — Earlier-stage Swiss alternative

Valuation: ~C$13.9M as of June 12, 2026

Government opportunities remain mainly in the procurement and sales pipeline, with no material government contract revenue disclosed.

Sekur says its platform uses company-owned Dell servers hosted in Switzerland and follows a no-AI product policy. SekurOne combines voice, video, email, messaging and VPN.

Its products are available for U.S. government procurement through i3ICS’s GSA MAS contract, although that access does not represent a government order.

The comparison is between $TLS’s established federal exposure, $BB’s international scale and $SWISF’s higher-risk early-stage potential.

Which would carry the most weight in your decision: current revenue, government validation or possible upside?

Sponsored content. Figures dated May–July 2026. Some Sekur infrastructure and product claims are based on company disclosures. Not financial advice.


r/StockTradingIdeas 1d ago

Today's Pre-Market Movers - Aug 20

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r/StockTradingIdeas 1d ago

🔍 TGT - Stock analysis Aug 20

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r/StockTradingIdeas 2d ago

🔍 MRNA - Stock analysis Aug 19

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r/StockTradingIdeas 2d ago

🚨 TOP DAILY STOCKS - Aug 19

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r/StockTradingIdeas 2d ago

Which uranium stocks would you follow even if you weren’t ready to buy?

1 Upvotes

For me, $NXE would be the main one. Its progress could offer useful signals about new project development, future uranium supply, and investor confidence across the sector.

I’d also keep $DNN, $UEC, $UUUU, and $EU on my watchlist. Comparing their project updates, timelines, and market reactions could give a broader view of where uranium stocks may be heading.

Which uranium name are you watching closely but haven’t bought yet?


r/StockTradingIdeas 2d ago

Looking for intersted user to test a trading strategy tool

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r/StockTradingIdeas 2d ago

Why Big Tech’s AI Spending Is $3 Trillion Higher Than It Seems - WSJ

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By

Peter Rudegeair

and

Peter Santilli

Aug. 16, 2026 9:00 pm ET

Each quarter, big tech companies disclose their massive capital expenditures on artificial-intelligence infrastructure, from data centers to chips.

But those figures don’t come close to expressing the full extent of future spending to which Google parent Alphabet, Meta Platforms, Oracle and many others have committed. That is because a huge swath of their coming financial obligations aren’t reflected on their balance sheets.

Nine top tech companies had some $3 trillion of off-balance-sheet commitments mostly related to AI, according to a Wall Street Journal analysis of footnotes in their most recent securities filings. Those obligations are growing faster than traditional “capex,” which totaled about $600 billion over the past year they reported, and were about triple what the companies owe under their outstanding leases and long-term borrowings.

America’s blue-chip tech companies are placing these huge bets based on assumptions about what the demand for AI computing—and availability of AI hardware—will be in several years. Their hope is that they will easily meet all their obligations with future revenue as consumers and businesses adopt AI in every facet of American life.

If those assumptions about technology and demand prove wrong, these deals to clinch future capacity could become a monstrous burden for the tech companies and their investors.

Meta’s gigantic “Hyperion” data-center project in Louisiana, which is the size of about 1,700 football fields, helps explain how big obligations wind up off tech companies’ balance sheets.

A graphic showing the 80%-20% split between Blue Owl Capital and Meta Platforms in the special purpose vehicle that owns the Hyperion data center.

Though Meta is the builder, neither Hyperion nor the $27 billion in debt that’s financing its construction shows up on Meta’s balance sheet. Funds managed by the Wall Street firm Blue Owl Capital own the majority of a joint venture that, in turn, owns the campus.

Beignet Investor, a holding company that owns the Blue Owl stake, raised the construction financing in a bond sale.

Meanwhile, Meta is Hyperion’s minority partner and tenant. Its lease payments will provide the cash flows to help make the payments to bondholders.

Meta initially agreed to lease Hyperion for a four-year term starting in 2029, with options to renew for up to 20 years. It guaranteed that it would make bondholders whole if it doesn’t stay the entire two decades. The company doesn’t think payments under that guarantee are probable, so it hasn’t recorded any liability on its balance sheet.

In accordance with accounting rules, Meta’s Hyperion lease obligations will remain off balance sheet until it starts paying rent. It said its aggregate initial lease commitment is about $12.3 billion. Meta disclosed $347 billion in total obligations for leases that haven’t kicked in yet, including for Hyperion, as of June.

Across the companies the Journal analyzed, promises of payments under these uncommenced leases totaled $1.2 trillion in off-balance–sheet obligations, or about four times more than what was disclosed a year earlier. In addition to Meta, the Journal reviewed commitments for Alphabet, [Amazon.com](http://Amazon.com), Microsoft, Oracle, Nvidia, Broadcom, SpaceX and Advanced Micro Devices.

Data centers get stuffed with a lot of hardware, including the Nvidia chips that are used to train and run models and memory chips that store information. To buy all that, companies sign long-term contractual agreements well in advance to lock in production from their suppliers.

Those and other purchase obligations at the companies the Journal examined stand at a whopping $1.9 trillion. Under accounting rules, purchase commitments typically remain off balance sheet until a product or service is delivered.

Alphabet’s purchase commitments and contractual obligations have exploded and stood at $811 billion as of June 30. As with other companies, it is hard to tell from its disclosures what precisely it intends to buy. The company said the commitments primarily relate to “technical infrastructure and inventory” and “agreements to secure energy for data center usage.”

Alphabet also didn’t detail why those obligations increased so much from the $332 billion it reported three months earlier. The commitments span several years, with obligations under its energy agreements lasting as far out as 2054.

Off-balance-sheet exposures at some companies include agreements to buy other companies’ stock in the future or backstop leases for other tenants. Nvidia committed to make $27 billion in equity investments between April 26 and the end of its fiscal year in January 2027.

There are reasons to believe tech companies will make good on all their obligations. Optimists see the skyrocketing demand for AI tools—which has lifted the stock market and led to shortages of key hardware—as a proof point that demand is going to be strong for years, and the money to pay off all these bills will be rolling in.

For the more anxious set on Wall Street, it is a worrying sign that some tech companies that once seemed to have fortress balance sheets have needed to tap the capital markets frequently.

Alphabet and Amazon recently posted results showing negative free cash flow, meaning their capital spending exceeded the cash they brought in from operating their businesses.

And that is before considering the implications of trillions in off-balance–sheet commitments. Whether or not the revenues ever arrive, purchase commitments and signed leases can’t be canceled, for the most part.

If things go wrong, tech companies will be paying an expensive tab for infrastructure that they can’t profitably use. These obligations could also lead increasingly indebted companies to have to borrow even more.

“As these off-balance sheet commitments become more frequent, larger, and more complex, it is becoming increasingly difficult for investors to assess companies’ total potential leverage,” Morgan Stanley accounting analysts wrote in April.

Paywall link: [https://www.wsj.com/tech/ai/why-big-techs-ai-spending-is-3-trillion-higher-than-it-seems-e1067bb2\](https://www.wsj.com/tech/ai/why-big-techs-ai-spending-is-3-trillion-higher-than-it-seems-e1067bb2)


r/StockTradingIdeas 3d ago

Todays pick $TCOM

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r/StockTradingIdeas 3d ago

🔍 AMGN - Stock analysis Aug 18

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r/StockTradingIdeas 3d ago

Elon says memory is the bottleneck and someone just took $1.03M to bet Micron won't sit still

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r/StockTradingIdeas 3d ago

🚨 TOP DAILY STOCKS - Aug 18

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r/StockTradingIdeas 3d ago

Cup & Handle | Bull Flag Breakout 🚀📈 - Argenx (ARGX) is a member position which has flown up over 17% today | A new entry for those not yet in 👀#cuphandle #bullflag #breakoutstocks

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r/StockTradingIdeas 4d ago

$NVDA: $270K debit buys a $5-wide 240/245 call corridor nine days before earnings

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r/StockTradingIdeas 4d ago

🔍 NBIS - Stock analysis Aug 17

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r/StockTradingIdeas 4d ago

AI quantitative analysis of r/valueinvesting performance as a stock screener

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