Eric R

[Miles Deutscher @milesdeutscher]

The traders who win in this market are those with the best information.

I'm still researching daily despite a slow crypto market.

Times like these are when asymmetric opportunities are spotted.

To help you guys print money, here's a full list of my current research tool stack:

[Nebraskangooner @Nebraskangooner]

🚨 DO YOU ACTUALLY KNOW HOW TO MANAGE RISK?

Most traders spend years learning entries…

…and almost zero time learning position sizing, stop losses, or when NOT to trade.

That’s why they blow up.

Here are the risk rules that helped me survive long enough to improve 🧵👇

[🐧 @Pentosh1]

There are a couple physical AI companies that imo are just starting their uptrends with some pretty decent upside over the next few years. Going to write about what I'm looking at shortly, and I'm open to your suggestions as well if you have them. Feel free to share

AI started as software, but now AI in entering the stage of having hands, arms, and eyes

Robotics is essentially going to solve for some parts of a 55-60T annual problem. Which is labor. These robots will have an upfront cost, but over the lifetime of them might only cost around $2 per labor hour vs the average of $40 or so in the US.

While we are a bit early to robotics companies going public, we can still buy the "bottlenecks" of many of these that are going to be supplying all the parts to build them.

[🐧 @Pentosh1]

$HYPE is +50% since the regulation fud, and a lot of the buyers were tradfi or at an institutional level since then as we saw with the ETF flows. That is a fact

Regulation is an inevitability. The odds of it occurring are 99.99999%. And that's okay. When it comes in the next 6-12 months, there will be short term panic again sure. The coins will shift hands to these same buyers imo.

I don't think there will be any enforcement action that is negative in the way we saw it with Binance/Bitmex. Bc Jeff is taking action now by being proactive. Where as Binance was more, do something and ask for forgiveness later. But the most likely outcome is that there will be front end kyc. It's something that will just have to be accepted.

[James Wynn 🔱 @JamesWynnReal]

LIKE, REPOST, TAG, SHARE ‼️

🇺🇸 Trump confirmed today that China is refusing to buy NVIDIA chips because they are developing their own

This once again confirms that the US has lost the main bargaining card with China 🇨🇳

🇨🇳 China has refused to stop buying oil from Iran🇮🇷

🇺🇸 $900bn wiped out of the U.S Stock market yesterday

🇨🇳China is warning of war with the U.S. over Taiwan 🇹🇼

🇺🇸 Blackrock ETF has sold $136,280,000 worth of Bitcoin.

💉 Bill Gates has sold 100% of its Microsoft,
$MSFT, position which was a total of 7.7 million shares.

🇺🇸 TRUMP IS PREPARING FOR ANOTHER ROUND OF STRIKES IN IRAN🇮🇷

🇷🇺 Russian President Vladimir Putin is visiting China next week for talks with President Xi Jinping 🇨🇳

- Wynn

[TraderNJ @TraderNJ1]

This chart is screaming opportunity rn

$America @AMERICAISBACK_1

[Miles Deutscher @milesdeutscher]

If you're still researching crypto manually in 2026, you're cooked.

This is the AI system I use every day.

If your stack doesn't look like this, fix it today.👇

[Alex Mason 👁△ @AlexMasonCrypto]

24-year-old turned $225 million into $5.52 billion in 12 months.

Here’s what he actually bought:

Leopold Aschenbrenner got fired from OpenAI in April 2024.

A few months later, he wrote a 165-page thesis predicting AGI by 2027.

Then he launched a fund and made the bet almost nobody was making.

He bought zero Nvidia. Zero Microsoft. Zero Google. Zero Amazon.

He didn’t buy the AI narrative.

He bought the infrastructure behind it:

Bloom Energy (BE): power infrastructure for data centers. Up 1,422% in one year.

Lumentum (LITE): optical components that move data between chips. Up 1,331%.

Sandisk (SNDK): storage. Up 3,130%.

CoreWeave (CRWV): GPU cloud infrastructure. Up 166%.

Iris Energy (IREN): AI computing and data centers. Up 583%.

The thesis was simple:

AI needs power. Needs bandwidth. Needs storage.

Everyone was buying the companies selling the dream.

He bought the companies needed to make the dream work.

That’s the difference.

His fund now manages $6 billion.

Backed by Patrick and John Collison of Stripe and former GitHub CEO Nat Friedman.

I’m adding him to my watchlist.

Every time he files a new 13F, I’ll break it down here.

Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

Remember, I’ve predicted all the market tops and bottoms for the last 15 years, including the exact Bitcoin bottom at $16,000 three years ago and the top at $126,000 in October.

If you missed those calls, don’t worry. I’ll call the next one too.

[iWantCoinNews @iWantCoinNews]

$BTC | Bullish daily structure intact.

However higher timeframe is technically still in downtrend. Important to break for bulltrend confirmation is 100 weekly EMA.

Although I'm partially in the market, bearish bias on HTF remains unchanged

[Bitcoin2Go @bitcoin2go]

Während Krypto stagniert rasiert alles rund um AI weiter: Aktuell vor allem Werte aus dem Speicher-Chip Bereich.

Das sind Performances wie man sie aus den Altcoin Seasons kennt, während es überall kriselt. 🤯

[Koroush AK @KoroushAK]

Instead of overcomplicating support and resistance.

Use consistent repeatable levels.

↓
https://t.co/Ufqm6X4WkY

[Miles Deutscher @milesdeutscher]

The most powerful GPT-5.5 vibe coding prompt on the entire internet.

Use this prompt, and you'll literally be able to ship anything.

Fully functional apps, beautiful web designs - whatever you can imagine, this prompt can execute.

The best part is, it takes <5 minutes to use:

[Nebraskangooner @Nebraskangooner]

#Bitcoin

Morning star bullish reversal pattern observed on monthly time frame.

7 days until candle close.

[TraderSZ @trader1sz]

My thoughts on $BTC and quick updates on a few pairs from last stream

(sound abit off cause of a cold)

[Miles Deutscher @milesdeutscher]

I didn't think I'd be saying this... but I'm switching back to ChatGPT, and you should too.

For months, I've been all in on Claude, but GPT5.5 is just too good to ignore.

My stack just got a significant overhaul.

Here's how I'm repositioning for maximum AI productivity (copy this):

The first major shift I'm making is switching my primary OpenClaw agents from Opus to GPT5.5.

This switch should be more efficient (have to wait and see), and I've just generally found GPT better for big decisions, brainstorming, and business planning.

Because of this, all "heavy operating" Claw agents will be test-running GPT 5.5 for the next couple of weeks.

I'll also still run some open-sourced agents for cost efficiency on my sub-agents.

Secondly, I plan to use Codex much more going forward.

Tbh, I've relied on Claude Code for almost all of my coding tasks, but GPT5.5 looks promising for agentic coding, and I just generally want to test it.

Lastly, I've switched about ~50% of my total image generation needs to the new ChatGPT Image 2 (before it was 100% Nano Banana).

So far, I'm impressed with Images 2, and I'm excited to see how GPT5.5 performs over the next few weeks with these changes.

Where I'm still using Claude:

• Creative tasks (writing, Claude Design)
• Unique tools/features (Claude Skills, Live Artifacts, Cowork, etc.)
• Claude Code - it's been my daily driver for months; I'll definitely still be using it as I'm already quite comfortable with it

This setup could significantly boost your AI productivity and could possibly save you money on token usage - be sure to save this!

[Miles Deutscher @milesdeutscher]

Almost nobody has figured this out yet.

There is one way to gain a MASSIVE edge in crypto right now - and I've literally seen less than 1% of people implementing it.

It's my #1 focus, and you'll understand why after reading this.

This might be no surprise if you've been following me for some time:

The AI trading edge is absolutely massive right now.

The tools and workflows exist, yet I can only name a handful of traders who are actually using AI to make more money.

Not because AI is ineffective or "doesn't work" - the tools and workflows are 100% there.

But because, like with anything new, there is a steep learning curve right now, and most people are either too lazy to execute or have no clue where to start.

However, that's your edge and where asymmetric returns are made.

Some valuable trading x AI workflows to get you started:

• Set up OpenClaw for daily market briefs
• Set up Claude Cowork for scheduled automations (news, outliers, etc.)
• Connect TradingView MCP for a personal market assistant
• Build agent skills that know & replicate your trading style/rules/instructions
• Build AI agents that actually execute your trades (saves you time)
• Create a market research second-brain with Obsidian
• Leverage Perplexity Finance for deep research, connecting brokerages, and portfolio management

The list goes on.

The point is, learning AI is the #1 skill right now, and the people actively using it in their trading are gaining a massive informational, speed, and market edge.

This will be painfully obvious in hindsight.

[Miles Deutscher @milesdeutscher]

https://t.co/hTirE7BY6R

[Koroush AK @KoroushAK]

Every Trading Skill Level Explaned

Level 0: No Strategy

- No strategy. Just tips and 'gut feelings'
- No written rules for entries, exits, or stop losses
- No journal. No screenshots. No data.
- Position sizes swing wildly (1% one day, 10% the next)
- Wins feel like skill. Losses feel like bad luck.

Level 1: Inconsistent Strategy

- Learning to read charts: support/resistance, candlestick patterns, market structure
- Setting up your exchange, understanding order types, securing your capital
- Starting to define entry triggers, stop loss placement, take profit rules
- Risk per trade becoming more consistent but still varies
- Journal has data, but execution still varies

Level 2: Consistent Strategy

- Follows strategy rules on 90%+ of trades
- Journals every trade with screenshots and comments
- Has a working routine: checklist, report card, emotional check-ins
- Data is clean and reliable
- Not yet consistently profitable: equity curve may be flat or slightly negative

Level 3: Consistent & Profitable

- Positive expectancy over 30+ trades
- Upward-sloping equity curve
- Can distinguish a good setup from a great one
- Beginning to introduce discretion based on data
- Making money but not yet at meaningful size

Level 4: Consistent, Profitable & Scaled

- Consistently making four to five+ figures per month
- Scaled to a meaningful portfolio size
- Multiple strategies across different market conditions
- Execution fluid and largely automatic
- Emotional stability under large position sizes
- Continuous edge development as a habit, not a project

What level are you on?

[Tanjina Islam @Tanju_mim]

STOP TELLING CHATGPT “ACT AS AN EXPERT STOCK MARKET TRADER”.

Bad prompt = Bad result.

Use these prompts instead and see the magic:

[Miles Deutscher @milesdeutscher]

My sector watchlist cheatsheet: