Anthropic has opened access to Claude Fable 5 – its most powerful publicly available model yet 🤖

💰The price matches the horsepower – 2x the standard price of Opus 4.8:

🟠 $10 per 1M input tokens
🟠 $50 per 1M output tokens

For crypto, this is a double-edged sword:
Models this capable can make smart-contract audits and vulnerability research much faster. But attackers get access to the same upgrade – making exploits cheaper and easier to find. Anthropic clearly knows the risk. Fable 5 launched with strict safeguards, and flagged cybersecurity requests are automatically routed to the less powerful Opus 4.8.

Smarter audits. Smarter attackers.

Probably a good time to clean up your DeFi security: revoke old approvals, spread funds across separate addresses, and stop keeping everything in one hot wallet 🧠

#AI

FAQ: How to trade Polymarket with less risk 💡

The prediction markets topic got enough reactions from you guys, so here’s the promised breakdown.

On Polymarket, you can make money not only by picking the right outcome, but also by trading price gaps, spreads and liquidity. These approaches are often called delta-neutral: the trader tries to build a position where profits on one side offset losses on the other. Still, none of this is completely risk-free.

1️⃣ Buying YES + NO for less than $1

Every binary market has two opposite contracts: YES and NO. Example: "Will Argentina win the World Cup?"

Once the event settles, the winning contract pays $1, while the losing one pays $0. So 100 winning shares return $100. But YES and NO prices don’t always add up to exactly $1. This can happen because of bid-ask spreads, low liquidity and uneven order-book depth. That temporary mispricing is what traders try to catch.

Example:
📈 YES costs $0.40
📉 NO costs $0.55

You can buy both sides for $0.95. No matter what happens, one side will settle at $1, leaving a gross profit of $0.05 per pair. You’re not betting on the correct outcome – you’re trading a temporary pricing error.

Risk: the setup only becomes neutral after both orders fill. If your YES order fills but NO moves higher before you buy it, you’re left holding a regular directional position. Fees and slippage can also wipe out the spread.

2️⃣ Hedging through a crypto exchange

Suppose there’s a live market with the question, "Will BTC hit $100k before the end of the year?" and traders are already pricing both the YES and NO outcomes.

The NO token trades at $0.35, meaning the market currently prices the probability of "no" at roughly 35%. A trader compares that price with their own estimate: how far BTC still needs to move, how much time remains, and how volatile it usually is.

If the trader believes the real probability of NO is closer to 45%, the token looks undervalued at $0.35. They buy it expecting the market to reprice NO higher – for example, to $0.45. That would produce a potential profit of $0.10 per token, before expenses.

But if BTC suddenly pumps, the probability of reaching $100k rises and the NO token loses value. To partially protect against that move, the trader simultaneously opens a BTC long on a futures exchange.

The setup looks like this:
▶️ BTC rises – NO loses value, but the long offsets part of the loss
▶️ BTC falls – NO gains value, while the long moves into the red
▶️ If the trader correctly spotted an undervalued NO token, its repricing becomes the source of profit

So the profit doesn’t come simply from holding two opposite positions. It comes from estimating the probability more accurately than the market, while the futures hedge reduces the impact of BTC price moves on the trade.

Risk: this isn’t a perfectly neutral setup – it’s only a partial hedge. Funding costs and price differences between platforms can also eat into the profit.

3️⃣ Market making

Market maker doesn’t need to decide which outcome is correct. They place limit orders around the current price and try to earn the spread between buying and selling.

Example:
📈 Buy YES at $0.50
📈 Sell YES at $0.52

If both orders fill for the same size, the trader earns $0.02 per token. The more times this cycle repeats, the more spread revenue they collect. Some markets may also offer liquidity rewards.

Risk: the buy order may fill while the sell order doesn’t. Then the trader is left holding YES, and the result once again depends on the event.
That’s why market makers constantly monitor inventory, adjust quotes and limit position sizes.

Crypto degens have turned Polymarket from a betting platform into yet another trading venue. No altseason yet, so we trade whatever moves 😁

#FAQ

New perp DEX waitlist to farm 🪙

Ambient Finance is launching its own perp platform – Superluminal, built on Fogo.

Still early. Not much public info yet. But the team has been building for a while, and the waitlist is already open.

⌨️ To do:
🟢 Open the website
🟢 Drop your email for the waitlist
🟢 Follow Superluminal on X for updates

If they add points, testnet, referrals or trading rewards later, early users may have a head start.

I’ll probably submit a few entries and see where it goes. If solid funding shows up later, this could turn into a decent little farm 💵

#earn

🚀 SpaceX just hit the market! Shares are indicated to open 29% above the IPO price, and on paper Elon Musk just became the first trillionaire in history, with his net worth topping $1.1T after the listing

📊 Meanwhile, BTC is still chopping inside a triangle. And as always with triangles, the breakout can go either way

🟠 I’d love to see one more weekend push toward $68k to run the stops first – and only then let the trend send it lower again.. Let’s see if bulls can squeeze something out of this SpaceX hype 🧪

@Coin_Post

Altcoin research FAQ: How to tell if a token is actually cheap ❓

When the market is bleeding, I start looking for alts that could make sense for a long-term portfolio. But "down 80%" is not enough. Before buying, I want to know one thing: is this token actually cheap, or does it just look cheap? Here’s the checklist I use:

1️⃣ Is the protocol actually growing?

Don’t start with vibes. Check the basics: revenue, fees, users, volume, TVL, active addresses.

If the chart looks bullish but the protocol is losing users and volume, that’s not a hidden gem. That’s probably exit liquidity

2️⃣ Does the token capture value?

This is the part most people miss. A project can be great, but the token can still be useless. Ask:

➖ Does the token get revenue share?
➖ Are there buybacks or burns?
➖ Is staking actually meaningful?
➖ Does governance control real fees or emissions?
➖ Does demand for the product create demand for the token?

If the answer is "no," the business can grow while the token goes nowhere

3️⃣ Is the valuation reasonable?

Look beyond market cap. FDV matters because future unlocks can dilute you hard. Then compare the token with similar projects:

🟠 FDV / revenue
🟠 FDV / fees
🟠 FDV / TVL

A 10x multiple can be cheap in one sector and expensive in another. Context matters

4️⃣ What can go wrong?

Check unlocks, emissions, competition, weak tokenomics, smart contract risks and regulation. If supply is about to hit the market, "cheap" can get cheaper

5️⃣ What’s the actual setup?

You don’t need one perfect target price. Build 3 scenarios:
📈 Bull case
➖ Base case
📉 Bear case
Then ask: is the current price attractive compared to the realistic upside and downside?

🔧 Useful tools: DefiLlama, Token Terminal, Dune, Artemis, TokenUnlocks

Don’t buy an alt just because the narrative sounds hot. Personally, I only care when the numbers, value capture and valuation actually make sense.

Down bad ≠ undervalued

#FAQ

Wall Street is getting nervous 😨

Big banks are dropping some big forecasts this week – and the picture is mixed

🏛 Goldman Sachs
AI spending may be way bigger than the market expects. Goldman sees Big Tech AI capex reaching $1.1T in 2027, with a bull-case scenario at $1.4T. AI compute demand could grow 24x by 2030

🏛 World Bank
Global growth forecast for 2026 was cut to 2.5% because of war risks in the Middle East and higher energy prices. If Brent jumps to $115, growth could fall to 2.1%. In a worse supply shock, it may slow to 1.3%

🏛 Bank of America
BofA says 7 out of 10 bear-market signals for the S&P 500 are already flashing red. Their target is 7,100, roughly 4.5% below current levels. Main risk: rotation out of overheated AI stocks

🏛 Morgan Stanley
Asian LNG prices could jump to $25/MMBtu in Q3-Q4 2026. That’s more than 30% above the forward curve. The drivers: Asian heatwaves, Europe competing for supply, and winter storage demand

🏛 Citi
Citi cut its 3-month gold target from $4,300 to $4,000/oz. Reason: stronger dollar + less demand for safe-haven assets. But the 6-12 month target is still higher at $4,500

I remember this from past cycles: when 7 out of 10 red flags were flashing, the market was usually close to a top. So… is the real correction still ahead? 😨

@Coin_Post

Looking at my Dogecoin position still hurts 🚬

The coin never got close to $0.50 this cycle. It's down ~90% from the 2021 peak. And yet I'm not selling.

In fact, I finally have a plan 😎

Not because I think DOGE is about to moon tomorrow. But because a few things aren't lining up with the "Dogecoin is dead" narrative.

The setup, the risks, the levels I'm watching, and why I think the next 3-6 months matter more than most people realize:

👇 New video is live on YT
📹 WATCH HERE

Not buying
Not shilling

Just watching if TRUMP token remembers what day it is 🎂🇺🇸

One thing I keep noticing is how closely BTC still follows the old 4-year cycle. Historically, the pattern looked like this:

📈 Tops formed around Sep-Nov of Year 3
📉 Bottoms formed around Sep-Oct of Year 4

This cycle's top is already in at roughly $124k.

If history rhymes even a little, we're now about 3 months away from the window where previous cycles tended to bottom.

I've traded through enough cycles to know that the market rarely feels bullish near a bottom. If this pattern keeps playing out, the best opportunities may appear when most people have already given up 👁‍🗨

🇺🇸 Trump got his birthday gift after all − the ninth war is apparently "finished."
The official Iran-US memorandum signing is set for Friday, June 19 in Switzerland. Iran got the main thing it wanted: the naval blockade is lifted right now, while the nuclear issue gets pushed into another 60 days of talks. So yeah, expect a few more Trump "victories" over Iran

📊 This week still looks spicy:
🟠 Tuesday: Bank of Japan rate decision. In 2024 and 2025, this ended with crypto dumps
🟠 Wednesday: Fed meeting. No cut expected, but the market will be listening closely to Walsh
🟠 Thursday: BlackRock launches a new BTC ETF for the bear market

🟠 As for BTC, my call for a move toward $68k has almost played out already − price has now pushed close to $67k. The next big liquidity block sits just above. If bulls fail to break through it, BOJ and Fed headlines could be the perfect excuse for a sharp move back down

@Coin_Post

AI romance scams are entering their hardware era. It’s not just fake profiles and copy-pasted scripts anymore.

Some scam farms are now using AI to write the messages, robotic arms to type them on real phones, and another camera phone to "watch" the screen and guide the taps 🩶

To the app, that doesn’t look like automation. It looks like a human sitting there, texting normally. To the victim, it looks like attention, flirting, emojis… until the expensive gift requests start.

Wild part is, this is probably just the early version.

Next cycle, your scammer may have better ops than half the DeFi teams on your watchlist 🤯

Nvidia quietly put together a free course on building AI agents 🟢

If you've been meaning to understand how AI agents actually work (or build one yourself), this is one of the better resources I've found:

❤️ How modern AI agents are structured
❤️ Planning, reasoning, and interaction with LLMs
❤️ Connecting APIs, tools, and external services
❤️ Using memory and context effectively
❤️ Building your own AI agent from scratch
❤️ Working with documents and knowledge bases (RAG)
❤️ Hands-on labs, code examples, and practical exercises

One thing that confused me at first: you'll see a $1.68/hour price tag next to some labs. That's not for the course itself. The learning materials are free − the fee only applies if you use Nvidia's cloud GPUs for the practical exercises

I spent some time digging through it and even tested a few things myself. The content is surprisingly solid 👍

❤️ Save it for later and send it to that friend who keeps saying they're going to build an AI agent "soon"

#AI

The Fed's 2-day meeting starts today.

No rate cut is expected ✂️

The real story is Kevin Warsh's first meeting as Fed chair. Markets will be listening closely for any hints about future easing and liquidity.

One sentence can move everything.
Buckle up 🍿

James Wynn just opened a 10x short on SpaceX 🚀

🔠 Entry: $214.11
🔠 Liquidation: $224.31
🔗 Live position

Not exactly far away considering how hard this rocket has been flying lately.

🤓 Looking at the chart, I can actually see the logic behind the trade:

📉 The $220-225 area has already acted as a rejection zone twice, and that's exactly where Wynn's liquidation sits. If buyers can't push through that level, a cooldown toward $190-200 wouldn't be surprising after such a vertical move
📈 On the flip side, a clean break above $225 could trigger another squeeze and send the perp into full price discovery mode

The timing is interesting too. We have the Fed meeting ahead, plus the Iran-US memorandum expected on Friday. That's plenty of macro fuel for volatility.

Personally, I wouldn't be surprised by a pullback here.

🤩 But DYOR: shorting one of the strongest charts on the market with 10x leverage is still a bold move

We've seen this before with BTC. Now I'm curious how it plays out with SpaceX 👀

In just a few trading sessions, SPCX surged to roughly a $2.7T valuation, overtaking Amazon and even briefly flipping Microsoft intraday. That pushed SpaceX into the top 5 most valuable companies in the world almost immediately after its IPO 💹

My take?

I think the biggest reason SPCX keeps ripping is simple: only about 5% of shares are actually trading, while roughly 95% remain locked up. There's plenty of demand, but very little supply – and until those unlocks start hitting the market, sellers don't have much pressure to push the price lower.

The first major unlock is expected in August. That's when things start getting interesting

Today we’re waiting for the Fed rate decision and listening closely to what Warsh says. Let’s see how markets react 📊

Everyone wants a personal AI agent that trades for them, finds profitable strategies and somehow prints $10k/month. But CertiK’s CEO has already warned: unisolated, unvetted AI agents are a massive security disaster waiting to happen.

AI agents can drain your wallet 😱

And honestly, it makes sense. People often give agents access to everything: files, email, databases, wallets, API keys and financial services. If that agent is not isolated, it can be manipulated through plain text – through a hidden instruction inside a PDF, an email, or even a website.

So the agent thinks it’s completing your task. But in reality, it may be following someone else’s command, leaking data, or signing the wrong transaction 💀

AI agents are powerful. But without limits, permissions and isolation, your "assistant" can become the fastest way to lose money.

Want me to show how to safely test AI agents without putting your wallet at risk? Smash the reactions and I'll put together a practical guide 🔥

AI agent security FAQ: how to test agents without getting drained? 😵

AI agents are useful. But the dangerous part is the access you give them. If your agent can read files, open links, use API keys and sign transactions, then one hidden prompt inside a PDF, email or website can become a real security problem. So before testing trading agents, I’d use a setup like this:

1️⃣ Start with read-only access

If the agent is only doing research, it does not need trading access. For market analysis, portfolio tracking or alerts, use:
🔺 read-only exchange API keys
🔺 no withdrawal permissions
🔺 no wallet signing
🔺 no access to your main email or cloud drive.
If the agent can’t move funds, it can’t drain funds

2️⃣ Separate your agent wallet

Never connect an AI agent to your main wallet. Create a separate hot wallet only for testing. Keep the main funds on a hardware wallet or a wallet that the agent never touches.
A simple rule:
Main wallet = storage
Agent wallet = sandbox
If you want to test real transactions, fund it with a small fixed amount you are ready to lose

3️⃣ Use limits everywhere

If you give the agent trading access, limit the damage in advance. Set:
🔺 max position size
🔺 daily loss limit
🔺 max order size
🔺 no withdrawals
🔺 IP whitelist if the exchange supports it
🔺 manual approval for large trades.
The agent should never be able to YOLO your full balance because one website told it to

4️⃣ Keep human approval for signatures

A safer setup is:
🔺 AI agent prepares the action
🔺 You review it
🔺 You sign manually
Before signing, use transaction simulation tools like Rabby, Pocket Universe or similar wallet security extensions. If the transaction looks confusing, don’t sign

5️⃣ Clean permissions after tests

After testing any agent, revoke old approvals. Useful tools:
🔺 Revoke.cash – check and revoke token approvals
🔺 Etherscan / chain explorers – review wallet activity
🔺 Scam Sniffer / Pocket Universe / Rabby – catch suspicious transactions before signing.
Most wallet drains happen because users forget what they approved weeks ago

6️⃣ Log everything

If an agent trades or interacts with wallets, you should be able to see:
🔺 what it read
🔺 what it decided
🔺 what command it executed
🔺 which API key it used
🔺 which wallet it touched
No logs = no control

AI agents should be treated like junior traders with internet access. Useful, fast, sometimes impressive – but absolutely not someone you give the master key to your portfolio.

📌 Bookmark this guide and forward it to all your vibecoder friends

#FAQ

"The Iranians laughed at Obama and called him a stupid SOB a total fool," Trump said at the G7, roasting Barack Obama’s 2015 nuclear deal and signing his own. The deal is simple: Iran gets sanctions relief, frozen assets unlocked and a $300B recovery fund. In return, it has to give up its nuclear program.

✂️ Meanwhile, the Fed kept rates unchanged at 3.50%-3.75% in a unanimous decision.

It was Warsh’s first FOMC meeting as Fed chair, and the message was pretty clear: inflation is still well above the Fed’s 2% target, prices are still too high for most people, and the Fed wants to "fix five years of inflation mistakes."

The interesting part?
Under Powell, the Fed usually tried to tell markets what was coming next. Under Warsh, that playbook may be gone 😠

@Coin_Post

AI can now analyze almost any stock like a Wall Street (for free) 👁

I've been using the prompt below to research stocks before adding them to my watchlist. It gives results much closer to how professional investors think. Not "What does this company do?" but "Where could the market be wrong, and how much can I make or lose if I'm right?"

👇 Just replace [TICKER] with any company:

You are a top-tier hedge fund analyst.
Analyze [TICKER] as if you are deciding whether to invest $1,000,000 of your own money and hold for 5+ years.

Do not write a generic company overview. Focus on whether this is an attractive investment today. Use the latest available information and think like an investor, not a journalist.

Answer the following:

1. What is the market consensus?
What does the average investor currently believe about this company? Why is the stock priced where it is today?

2. What is already priced in?
What assumptions about growth, margins, AI, new products, competition, or macro conditions are embedded in the current valuation?

3. What could the market be wrong about?
Identify 3-5 things that investors may be underestimating or overestimating.

4. Why could this stock outperform?
What realistic events could generate a 2x-5x return over the next 5 years?

5. Why could this stock fail?
What realistic events could cause a 50%+ drawdown or permanent capital loss?

6. Competitive position
Is this company getting stronger or weaker relative to competitors? Who is taking market share and why?

7. Financial quality
Evaluate:
* Revenue growth
* Margins
* Free cash flow
* Debt
* Capital allocation
* Return on invested capital
Focus on trends, not just current numbers.

8. Management
Does management create shareholder value?
Evaluate execution, incentives, capital allocation, acquisitions, dilution, and buybacks.

9. Valuation
Do not simply state P/E ratios.
Estimate:
* Bear case value
* Base case value
* Bull case value
For each scenario provide:
* Expected stock price
* Probability
* Key assumptions

10. Expected return
Based on your analysis, estimate:
* Expected annual return over the next 5 years
* Downside risk
* Risk/reward ratio

11. Investment decision
If you had to choose between:
* Buying [TICKER]
* Holding cash
* Buying the S&P 500
Which would you choose and why?

12. Final verdict
Provide:
Conviction score (1-10)
Investment rating:
* Strong Buy
* Buy
* Hold
* Avoid

Most important reasons supporting the decision.
Most important reasons that could make the thesis wrong.

End with one sentence:
"The market is probably right because..."
and
"The market is probably wrong because..."

Most viral "Wall Street AI prompts" just generate a nice-looking report. This one forces the model to look for mispricing – and that’s where real investors make money

❤️ Save this. You'll probably use it more than half the finance newsletters on your feed