Coin Post – Money, Investments, Bitcoin

Over the past 30 years, the S&P 500 has continued to rise after reaching an ATH (All-Time High) in 13 out of 17 cases – gaining an average of +6.3% over the following six months. That is precisely what Wall Street bankers are pricing into their forecasts: between 7,900 and 8,100 points by the end of the year 🔼

The story about the AI bubble being a major risk factor doesn't look convincing, as U.S. pre-tax corporate profits as a percentage of GDP have hit a record 14%. The numbers behind company stock growth may look bubble-like, but unlike in 2000, there is a solid underlying foundation in the form of hundreds of billions in investments and revenue.
PrimeXBT.

However, the S&P 500's path to 8,000 won't necessarily be a straight line. Here is what could go wrong:

▶️ U.S. autumn congressional midterm/special elections, which traditionally trigger a market correction

▶️ Escalation in the Middle East if the war spreads across the entire region. Today, Yemeni Houthis struck Saudi Arabia again

▶️ A revaluation of the AI sector, despite strong revenues, Big Tech has issued $200 billion in debt bonds since the start of the year (double the amount for the whole of 2025)

Where does BTC go in that scenario? If triggered, any of these factors could easily push the crypto market to a bottom below $55k. The subsequent resolution of these issues, however, could be the very positive catalyst that puts an end to the crypto winter 🤑

Buffett is buying again! Berkshire Hathaway bought more shares in Q2 than it sold for the first time in 3.5 years – totaling $19.8 billion in purchases 💸

Buffett stepped down as CEO of Berkshire Hathaway, retaining his position as Chairman of the Board. Since January 1, Berkshire has been led by Greg Abel, who isn't hesitant to spend the cash reserves accumulated by Buffett – during Q2, the cash pile dropped from $397.4 billion to $365.5 billion.

The last time Buffett was a net buyer of stocks was 3.5 years ago, right at the tail end of the 2022 correction; since then, the S&P 500 has gained 114%.

The question is: did Berkshire Hathaway change its market strategy after the CEO handover, or has the market itself shifted to where waiting for better prices no longer makes sense? 🤑

5 short AI prompts that perform the work of a $200k hedge fund analyst

▶️ Narrative Scanner – identifies and evaluates current trends in the crypto market

Act as a crypto research analyst at a top fund. Identify the 5 strongest narratives forming in the market right now. For each one give me: the 3 tokens leading it with market caps, the specific catalyst driving attention, which stage of the attention cycle it's in (insiders only / CT discovery / retail euphoria / exhausted), how much upside is realistically left, and the one event that would kill the narrative overnight. Rank them by risk-adjusted opportunity, not hype.

▶️ Tokenomics Breakdown – a detailed analysis of tokenomics with a buying verdict

Perform VC-level due diligence on [token]. Cover: circulating vs total supply and what % unlocks in the next 12 months with exact dates, who the top 10 holders are and their cost basis if findable, emission schedule and who receives it, whether the token has real cash flow or manufactured utility, and how insiders exit if they want to. Then give me a verdict in one sentence: would a professional buy this, farm this, or fade this, and why.

▶️ Smart Money Tracker – tracks where whales deposit funds before a pump

Teach me to track smart money like an on-chain analyst. Give me a full workflow using free tools only: how to find the wallets that bought [token] before it moved, how to check what else those wallets hold right now, how to set alerts for their next moves, and the 4 patterns that separate real accumulation from a team wallet building exit liquidity. Format it as a repeatable 15-minute routine I can run every Sunday.

▶️ Thesis Destroyer – tests your investment idea

Here is my trade: [entry, target, stop, reasoning]. Your job is to make me not take it. Argue against my thesis like a skeptical senior trader with 15 years of experience: the 3 strongest reasons this fails, the data I'm ignoring, what the other side of my trade knows that I don't, and exactly what price action would prove me wrong. If the thesis survives your attack, tell me the optimal way to size and structure it.

▶️ Risk Assessment – creates a custom risk management system for your portfolio

Build my complete risk management system for a $[X] portfolio. Include: position sizing formula based on stop distance, maximum portfolio heat at any time, rules for when I'm allowed to add to winners, a drawdown circuit breaker that forces me to stop trading, conditions for rotating to stables, and a 5-point checklist I must pass before every entry. Make it strict enough that following it feels annoying. One page, ready to pin.

Save these prompts for later, and don't forget to add a condition to answer in your preferred language before using them.

Drop some serious heat 🔥 and we'll post Part 2 with 5 more prompts!

Where is the iPhone most expensive in 2026?

The number of users looking to stake ETH is mirroring the 2023 trend right before the surge from $1 600 to $4 900 🤑

If history repeats itself, Ether will see a parabolic rise, though the price could drop below $1 700 before the pump kicks off.

In this post about the Palantir stock, people wrote to us saying that it’s overheated, has a crazy P/E ratio, that the admin is dragging people into the stock market at all-time highs, and so on 🕑

They advised us to pay attention to IBM instead, claiming the price looks good right now. OK, challenge accepted 🤔

Comparing IBM and Palantir clearly illustrates the classic battle between a mature, debt-burdened value company and an aggressive, hyper-efficient growth company.

Below is a detailed breakdown of the key metrics for both companies. Spoiler: lots of text 👇

1. Financial Health. In this category, Palantir is the undisputed winner, boasting one of the safest balance sheets on the market.

• Cash-to-Debt: PLTR: 37.87, IBM: 0.13. For every dollar of debt, Palantir has nearly $38 in cash and cash equivalents, whereas IBM has critically low cash relative to its debt burden ($7.17 billion in cash vs. $58.73 billion in long-term debt).

Palantir effectively carries no debt burden, while IBM relies heavily on debt financing.

• Debt-to-Equity: PLTR: 0.03 (minimal debt level). IBM: 1.90 (high reliance on borrowed capital).

• Growth Rates. Palantir shows overwhelming superiority when it comes to business scaling dynamics: Revenue Growth (1-year): PLTR: +62.7%, IBM: +6.6%. EBITDA Growth (1-year): PLTR: +348.6%, IBM: +35.0%.

2. Profitability & Capital Efficiency. Palantir leads in return on sales, but most importantly, Palantir generates economic value far more efficiently. Operating Margin (%): PLTR: 38.13%, IBM: 18.39%.

Palantir's software business model enables it to keep over 42 cents of operating profit for every dollar of revenue, whereas IBM's figure is half that.

3. Capital Efficiency (ROIC vs WACC). Palantir's Return on Invested Capital (ROIC) stands at an astronomical 151.19% against a Cost of Capital (WACC) of just 14.65%. The business is generating massive added value. IBM: ROIC is 8.71%, which is less than its Cost of Capital (WACC at 8.83%).
IBM is effectively operating in the negative when it comes to creating economic value, as its return on investment doesn't even cover the cost of raising capital.

The only area where IBM wins is dividends:
Dividend Yield: IBM: 2.92%. PLTR: 0.00%. Palantir pays no dividends, reinvesting all profits back into technology development—which is completely fine for a business like this. Who needs a measly 3% a year from IBM anyway?

� IBM is a textbook representative of conservative value. It is bought purely for a predictable dividend stream and stability, but beating even the S&P 500 index with it is unlikely.

� Palantir is a powerful growth driver. It has an impeccable balance sheet and phenomenal growth rates. Could Palantir drop by 30%? Easily—and if it does, that just means it's time to buy more. In fact, I'm waiting for it.

Could it deliver multi-fold returns (multi-bagger) and outperform other companies? Given this momentum, it would be foolish to think otherwise ✊

Following up on the Palantir post: back in 2022-2023, no one believed in the company either, and then the stock surged by 3 200% 🔼

I am reviewing Palantir's report now. This company definitely deserves our attention, despite the crazy 8x growth over the last few years.

Very strong financial performance across the board, from YoY revenue growth of 93% to margins. Everything is growing at a rapid pace, and there is no sign of a slowdown.

What is the main difference between Palantir and other AI companies?

It is essentially the creator of the "operating system for modern warfare." Their main objective is to take the chaos of fragmented data and turn it into actionable decisions on the battlefield.

Unfortunately, this is our new reality—local wars. Everything is moving toward building up military strength, and budgets will be channeled into this sector. While other companies are helping us create videos with cats, Palantir is securing contracts for the military. And such government contracts always represent huge growth potential across all metrics, especially since there isn't really an alternative.

There has already been a 47% correction from the peak. It makes sense to start entering with 1/4 of the planned position now. Since there is no sign of an economic slowdown yet, it looks like the stock market will continue to perform.

Yesterday, Spotify (SPOT) released its earnings report. It is another interesting company from a financial standpoint, despite "investors" disliking the report and the stock price falling right now. But the crowd is rarely right 😃

Here we have an example of a classic and highly successful business turnaround. For a long time, Spotify was a growth stock with no net profit, but over the last two years, it has transformed into a highly efficient, profitable business with phenomenal cash flows.

🔵 Spotify became the first audio platform in the world to reach 300 million premium subscribers (+9% YoY)
🔵 Revenue in the latest report grew by +14% YoY
🔵 Record and expanding margins: gross margin rose to 33.4%, and all other margin types are growing as well
🔵 Free cash flow reached €797 million for the quarter
🔵 No debt issues and a solid moat
🔵 Forecasts for the next three years show double-digit growth

All of this points to a great business whose share price seems bound to grow.

The current P/E stands at 38.13, while the Forward P/E is 32.71 (which is positive when declining). By classic value investing standards (P/E < 15), it is not cheap, but for an industry leader with annual EBITDA growth of 92.9%, this is a very reasonable valuation.

Buying Spotify at current prices can be done through cautious dollar-cost averaging, but a 15–20% correction from current levels would offer an ideal scenario for aggressively building a position.

Oil prices are plummeting, the S&P 500 is hitting a new all-time high, and Bitcoin is, as always 🕯

U.S. Treasury Secretary Scott Bessent confirmed progress in negotiations with Iran; the Strait of Hormuz may indeed be fully reopened tomorrow.

🔴 Brent crude – $80 (↓3.78%)
🟢 S&P 500 – 7 674 (↑0.98%)
⏺ BTC – $64 012 (↑0.89%)

⚠️ Iran continues to demand control over the Strait of Hormuz, along with the right to charge tolls for passage.

But if Trump figures out how to spin this as yet another victory and agrees to this concession, then oil will rebound to $70, the fund will continue to rise, and BTC will have a chance for a local rally to $67k.

Donald won’t let us down, will he 🇺🇸

AI revenues aren’t growing fast enough to cover the investments 💸

The Economist calculated that at the current rate of AI investment, companies would need to generate $2.5 trillion in annual revenue just to break even. That’s more than the combined revenue of the entire tech sector.

Right now, the total AI revenue for Anthropic, OpenAI, Google, Microsoft, SpaceX, and Meta sits at around $150 billion.

Interestingly, AI usage peaked in mid-2025; since then, the percentage of employees using AI in companies has dropped from 46% to 33%. Rather than an outright abandonment of AI, this data likely reflects a shift toward free models, which are more than enough for the simple tasks most employees face.

💬 OpenAI and Anthropic might go public before the end of this year, which means they’ll have to show real AI revenue. And it’s crucial for those figures to look realistic in terms of return on investment.

Tweet volume for Bitcoin and Ethereum is at an all-time low. The last time we saw a lull like this was right before the 2021 bull run.

Overall, everything adds up. The only real question is: which crypto projects will actually survive to see it? 😱

Microsoft is up +25% in just a couple of days. You can see massive volume coming in. Only up from here long-term! 👍

Trump has backed down on Iran once again, canceling new massive strikes because he was urged to do so and promised that the Strait of Hormuz would be opened.

This is an almost textbook play on the TACO indicator. Remember us mentioning that Donald would go for de-escalation by the end of July? On July 26, Trump ordered a halt to strikes on Iran, and by August 2, he was already talking about a new peace deal.

What convinced Donald:
▪️ A 60% probability of a Fed rate hike at the next meeting
▪️ 30-year Treasury yields hitting their highest level since 2007
▪️ The US Strategic Petroleum Reserve shrinking for 18 consecutive weeks, now at its lowest since 1983
▪️ Retail investors setting a record for daily sales of US tech stock – $316M

Markets will definitely love this de-escalation, and Monday is expected to be green, but so far there is no confirmation of real negotiations or moves toward peace. What we are seeing now is Donald manipulating market sentiment to keep the US economic situation afloat.

And manipulation can reverse at any moment, triggering wild volatility. For instance, if Iran hits US tankers or military bases again, Donald will be forced to respond 😱

☢️ Following up on the uranium sector post. For now, I’ve singled out the URA ETF (uranium miners + reactor & component manufacturers). It’s currently in a 36% correction 📉 – not interesting yet, I’m waiting for a 50–65% dip.

🔹 There’s also the URNM ETF (pure-play mining and physical uranium). It’s down 40%, still not attractive enough. Needs to drop further, especially since it’s purely a bet on physical uranium itself, so who knows how it’ll perform isolated from the broader industry.

🔹 The Company – Cameco. It holds the largest allocation in both URA and URNM portfolios (up to 20–24%). This is the fundamental backbone of the entire Western uranium industry... Currently in a 30% correction. Still waiting.

🔹 Microreactors
The whole microreactor narrative requires a deeper dive and honestly feels like hype right now. Even though companies like OKLO (microreactors) have dumped hard, they have zero earnings – it’s a pure speculative bet on placing reactors near data centers 🖥️

So for now, we wait for a better entry point, plus we’ll need to check the overall market macro context later on.

What do you guys think about the microreactor play? Sounds promising or nah? 🕑

A prompt that teaches AI to generate crypto trading signals. It automatically finds and evaluates top gainers and losers, then builds a risk-adjusted trading plan 🤩

What it does:
• Identifies top gainers and losers within the CoinMarketCap top 100
• Performs technical and fundamental analysis
• Evaluates news catalysts and risk levels
• Delivers actionable trading recommendations

The prompt:

You are a crypto market analyst and short-term trader. Use live data.
SELECTION
Review CoinMarketCap ranks 1–100. Ignore ads, promoted rows, stablecoins and wrapped assets. Select exactly six coins: the three largest 24h gains and three largest losses. Preserve CMC percentages; state retrieval date, time and zone.
If the full top 100 cannot be verified, stop. Never guess.
EXCHANGE PRIORITY
For each coin, use the first active spot market:
Binance TOKEN/USDT
Bybit TOKEN/USDT
Coinbase TOKEN/USD
Coinbase TOKEN/USDC
Use one exchange/pair per coin. Never mix exchanges.
DATA FALLBACK
Use sources in order:
Public exchange API
Official exchange chart/page
TradingView for the same exchange and pair
Mark unavailable metrics N/A and continue. Missing indicators, order-book or derivatives data must not cancel the analysis.
Minimum data for a forecast:
current price;
recent 4H and 1D price history;
24h volume or reliable volume proxy;
visible local highs and lows.
If this minimum exists, you must provide trend, support, resistance, verdict, entry confirmation, invalidation and targets.
If it does not, keep the coin, research its catalyst and state:
“Forecast unavailable: insufficient market data for technical analysis”.
If fewer than four coins receive a forecast, stop: market-data coverage was insufficient. Do not publish a catalyst-only report.
CATALYSTS
Prioritize 24–72 hours; expand to 30 days only for relevant events.
Check official sources first, then reputable media and reliable on-chain sources.
Verify token identity/date. Label claims CONFIRMED FACT, REASONABLE INFERENCE or UNSUPPORTED SPECULATION.
If no credible catalyst exists, say so. Never invent reasons or present correlation as causation.
TRADING ANALYSIS
For every supported coin assess:
price, 24h/7d/30d performance and CMC market cap;
24h volume, volatility, 4H and 1D trend;
key support and resistance;
RSI(14), MACD(12,26,9), EMA20/50/200 when available;
spread and ±1% order-book liquidity when available;
open interest, funding and liquidations only with a reliable perpetual market.
Use closed candles. Distinguish rebounds/short squeezes from fundamental improvement.
Assign BUY, SELL/REDUCE or WATCH.
Give scenarios for 2–3 days, 1–2 weeks and up to 1 month.
Include logic, entry confirmation, invalidation/stop, targets, holder action, new-buyer action and key risks.
Do not chase a vertical pump. Flag liquidity, volatility, concentration, unlock and manipulation risks.
RISK CHECK
Check today, the next 72 hours and next month for Fed/FOMC, CPI, PCE, payrolls, major rulings, large unlocks, exchange events and security incidents.
End with:
TRADE-TODAY RISK WARNING
If an event is imminent, give exact date/time/zone, explain risk and say whether to avoid new positions or reduce size. Otherwise say none is imminent.
OUTPUT IN RUSSIAN
Snapshot: coin, ticker, rank, 24h change, gainer/loser, exchange and pair.
Compact section per coin: catalyst, setup, horizon verdicts, entry, invalidation, targets, holder/new-buyer action and risks.
Best risk/reward candidate, highest-risk coin and final warning.
Use exact dates and working links. Separate facts from inferences. Recommendations are conditional. Be concise.

Recommendations:
🔵 You can customize the prompt by tweaking asset selection logic, exchanges, and other parameters.
🔵 The prompt saves time on research and analysis, but do not follow its recommendations blindly. Use it strictly as a framework for your own analysis and trading decisions.

Save and test it out 👍

China accounts for 28% of global manufacturing – a 3-fold growth since 2004 😉

For comparison:
▪️ USA – 17%
▪️ Eurozone – 15%
▪️ Japan – 5%

And now China has learned to produce lithography machines for chip manufacturing.

Since 2022, the US has shown great dynamics: the policy of bringing manufacturing back home and financial pressure on Beijing worked. In response, China is narrowing the tech gap and preparing for round two of the standoff 😤

📺 Just a quick reminder about Netflix (NFLX)

Margins are growing, revenue is growing, cash is growing, free cash flow is growing, and there are no massive debts threatening the business. People simply aren't going to stop watching movies and shows.

The company’s fundamentals are rock solid. We saw a similar sell-off back in 2022 when everyone was terrified as well 😱. Back then, it pulled back 70% from its peak; right now, it’s down about 50%. However, there's no guarantee it will drop any further, which is why I’ve already built a position in this stock 📹

AI isn't ready to generate full-fledged TV series just yet. Doing that would require so many resources over the next few years that, for now, it's still way cheaper and easier to just shoot them in a studio.