WUTTICHAI C

[Ryker 🇯🇵 @Ryker_Crypto]

The real cycle of $BTC

You have about 3 months to prepare everything.

[Crypto Rover @cryptorover]

Bro is literally mad for sharing these finance secret prompts for free...

[Crypto Rover @cryptorover]

🚨 BITCOIN MAY BE APPROACHING ANOTHER MAJOR CYCLE BOTTOM.

Weekly RSI just formed another bullish divergence:

Price made lower lows.
Momentum did not.

The same structure appeared near the 2018 and 2022 cycle bottoms before Bitcoin reversed higher.

A final flush is still possible.

But momentum is starting to turn for the first time in months.

[Wimar.X @DefiWimar]

🚨WARNING: SOMETHING BAD IS COMING FOR SPACEX

Unlocks haven't started yet, but $SPCX is already down 30% from its ATH.

Here's the EXACT roadmap for the upcoming unlocks:

Aug 11 → $150 → $130 → $115
Sep 24 → $130 → $135 → $120
Oct 25 → $125 → $110 → $100
Nov 7 → $115 → $100 → $86

The real selling has not even started yet.

I've been reading this chart since day one.

Bookmark it to compare later.

Follow and turn notifications on.

I'll post the warning BEFORE it hits the headlines.

[Oracle Boar @bored2boar]

I gave Claude $100 and told it to exploit Polymarket.

No strategy.
No instructions.

Just full access to my machine and one rule: grow this or get unplugged.

It didn't try to predict a single thing.

Instead it went hunting for math errors.

Here is what it understood that most traders never do:

On a BTC Up/Down market, YES and NO have to add up to $1.

One of them ends at a dollar, the other at zero.
Always.

But the orderbook is messy.

For brief windows YES sits at 47 cents while NO sits at 49.

That is 96 cents to own both sides of a market that pays out a guaranteed dollar.

4 cents of profit that does not care where Bitcoin goes.

Claude scanned for that gap across every crypto market at once.

Hundreds of windows, every second, never tired, never distracted.

The moment two sides summed under a dollar, it took both legs before the gap closed.

By the end of the day it had stacked those tiny locked margins into $2,890.

Not one prediction the entire time.

The reason a person cannot do this is simple.

These gaps live for seconds.

You can watch one market.

Automatic bot watches all of them and pounces the instant the math breaks.

Leaving a full guide below this post, just use it in your prompt and let AI do the rest of work for you.

[nox @brandnewnox]

นักลงทุนวัย 24 ปี อดีตพนักงาน OpenAI ที่เคยปั้นพอร์ตจาก 200 ล้านดอลลาร์ ไปแตะระดับ 15,000 ล้านดอลลาร์ ภายใน 2 ปี

ตอนนี้กำลังทำสิ่งที่ตลาดไม่ค่อยอยากได้ยิน

คือ “ลดฝั่งชิป AI” และหันไปเดิมพันกับ “พลังงาน”

เขาคือ Leo Aschenbrenner ผู้ก่อตั้ง Situational Awareness Fund

ที่ผ่านมาเขาทำเงินมหาศาลจากการ Long หุ้นกลุ่ม AI / Semiconductor ตั้งแต่ปี 2024

แต่เอกสาร 13F ล่าสุดทำให้หลายคนเริ่มหันมามองใหม่

เพราะกองทุนของเขาไม่ได้แค่ขายทำกำไร

แต่เริ่มเปิด Short ในกลุ่ม Semiconductor แบบจริงจัง ทั้ง ETF กลุ่มชิป, Intel รวมถึง NVIDIA

ประเด็นสำคัญคือ

ถ้ามองให้ลึกลงไป AI data center ไม่ได้ต้องการแค่ GPU

> แต่มันต้องการไฟฟ้ามหาศาล
> ต้องการ land
> ต้องการ cooling
> ต้องการ grid connection
> ต้องการสัญญาซื้อไฟระยะยาว
> ต้องการโครงสร้างพื้นฐานที่พร้อมใช้งาน

คอขวดของ AI อาจกำลังขยับจาก chip bottleneck ไปเป็น power bottleneck

นี่เลยเป็นเหตุผลที่เขาเริ่มโยกเงินไปหากลุ่มที่มีไฟฟ้าอยู่ในมืออยู่แล้ว

เช่น Nebius ($NBIS)ในฝั่ง cloud / AI infrastructure

และ $IREN ในฝั่ง Bitcoin mining

เพราะบริษัทเหมืองขุด Bitcoin หลายเจ้ามีสิ่งที่ AI data center ต้องการอยู่แล้ว

คือ
> ไฟฟ้า
> พื้นที่
> ระบบระบายความร้อน
> infrastructure ที่สามารถเปลี่ยนจากขุดเหรียญ มาเป็นรับงาน compute ได้

รอบแรกของ AI ตลาดให้ค่ากับ GPU
รอบสองให้ค่ากับ data center
แต่รอบถัดไป อาจให้ค่ากับไฟฟ้า

เพราะสุดท้ายแล้ว

AI ไม่ได้รันด้วย narrative อย่างเดียว

"มันรันด้วยไฟ ⚡️"

[Quant Science @quantscience_]

Automate your trading strategies in Python

How to build your first trading bot:

(a thread)

[imnotmiller @imnotmiller_eth]

I found a Claude bot on Polymarket that is quietly grinding its way to a six-fig

Trades: 23,232 (+7,448 trades recently)

Total Profit: $72,416.29 (+$16,526 in pure growth)

Pace: Still hammering out ~200 trades every single day

Account: https://t.co/glClGmiTSR

The Latest June 2026 Hits:

• BTC Up ¢ 19.1¢ -> +$856 (+422%)
• BTC Up ¢ 19.4¢ -> +$806 (+416%)
• BTC Up ¢ 20.4¢ -> +$796 (+390%)
• BTC Down ¢ 24.9¢ -> +$751 (+301%)
• BTC Down ¢ 25.1¢ -> +$749 (+299%)

The Classic Homeruns:

• Down @ 39.7¢ -> +$1,562 (+151%)
• Down @ 20.5¢ -> +$1,324 (+387%)
• Down @ 23.0¢ -> +$872 (+335%)

Why this is undeniably an LLM/Claude script:
It executes ~200 trades a day with zero fatigue. It strictly targets the 20-50¢ range and completely ignores the FOMO at 99¢. Position sizes are tightly capped between 900 and 2,700 shares to keep risk strictly managed. When it hits, it pulls 100-645% returns on sub-30¢ entries.

The Playbook:
It scalps directional 5-minute BTC contracts. It doesn't care about market narratives or long-term trends. It just captures 2x-6x multipliers on cheap entries and grinds out a steady few hundred dollars a day.

23,232 trades. $72.4k profit. It’s not the flashiest account on the leaderboard, but it's easily one of the most consistent.

[Virat Singh @virattt]

I'm expanding our AI hedge fund.

We're adding alpha models to mimic how real hedge funds run.

Two types:
• LLM alpha models
• Quant alpha models

LLM alpha models are the agents you know: Buffett, Munger, Druckenmiller.

Quant alpha models are new: PEAD, regime switching, statistical arbitrage.

All open source, for learning purposes only.

[Quant Science @quantscience_]

OpenBB: A free alternative to the $20,000 Bloomberg Terminal

Available 100% free on GitHub:

[Crypto Rover @cryptorover]

Bitcoin always bottoms around this ''Production Cost.''

This time won't be different, right?

[FHILY👑 @Oluwaphilemon1]

This is the best way to use Claude Fable in Claude Code without immediately hitting your limits.

1. Model set to Fable 5
2. Reasoning on Max
3. Instruct Claude to run a dynamic workflow where:
3a. Fable is the orchestrator
3b. Opus does the reasoning heavy phases

Fable is so overpowered that you don't need its intelligence for every step.

Let it orchestrate Opus or even Sonnet.

[VALIX @RetroValix]

This guy built a trading bot with Claude and made $63,000 on Polymarket

His bot trades crypto Up/Down markets, often buys both sides of the same market, and extracts profit from market inefficiencies

His strategy is simple:

> Finds mispricings and trades undervalued outcomes
> Buys almost obvious markets near the end if there is still edge left on Polymarket
> Trades cheap tails in case there is a sharp price move

This guy’s Polymarket account:
https://t.co/VxUQwkK3CE

With this strategy, he gets a consistent edge of around 2.5% and keeps growing his deposit

[Recogard @recogard]

I found 12 free GitHub repos for trading on Polymarket…

Here is everything you need to automate and make your trading easier:

1. The largest Polymarket dataset with over 36 GB of real trading data, based on more than 72 million trades, analyzed by a Coinbase developer.

GitHub: https://t.co/qkoF6TyjJQ

2. A backtesting simulator that lets you test your own trading ideas and strategies on real historical markets to see your potential win rate and all possible risks.

GitHub: https://t.co/fmzzTgXAUl

3. This bot automatically manages your limit orders on Polymarket to maximize liquidity rewards.

GitHub: https://t.co/nvb96dTIwx

4. This tool analyzes any Polymarket trader’s behaviour, finds repeated patterns in his trades, shows which strategies he uses and how you can adapt them to your own trading.

GitHub: https://t.co/SzdjHtASLt

5. A tool that lets you pull historical data for any market that has ever existed with detailed statistics and charts.

GitHub: https://t.co/5c5WwUVvVi

6. A bot with 118 ready to use tools and strategies for trading on Polymarket, including Binance-Polymarket latency, Momentum, Smart Routing, Penny Clipper, Expiry Fade, DCA bots and more.

GitHub: https://t.co/2MCzD8iZG7

7. An AI trading terminal that lets Claude connect to Polymarket, analyze markets in real time, track prices, suggest possible trades and even trade for you.

GitHub: https://t.co/5kFPrvOY3E

8. A bot that finds arbitrage opportunities between Polymarket and Kalshi.

GitHub: https://t.co/icWBTLTeVg

9. A weather bot that checks forecasts, airport data and aviation observations (like METAR + SPECI) to create a detailed weather report for a specific city and day.

GitHub: https://t.co/No3sBcqMg1

10. A trading dashboard where multiple AI agents analyze markets from different angles (news, price movement, technical indicators and possible risks) and suggest the best trading decisions.

GitHub: https://t.co/02iWujLbxe

11. A tool that analyzes what happened on the web over the last 30 days and finds useful patterns, connections and recent context around the selected topic. Very useful before trading.

GitHub: https://t.co/yETdyU8jT7

12. The largest public collection of 120 useful tools and services for prediction markets, including analytics dashboards, AI agents, trading bots, educational resources and more.

GitHub: https://t.co/jqvVR9106v

All of these repos come with a step by step setup and usage guides in English.

[Anuj @anujcodes_21]

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

[Bhavika Agarwal @Ai_Tech_tool]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[0xMarioNawfal @RoundtableSpace]

SOMEONE ON REDDIT BUILT A GAME WHERE YOU RIDE A DIRT BIKE ON TOP OF ANY COMPANY'S STOCK CHART

[Selina @selinaai_]

BREAKING: Claude can now run Stock Market research like a top consulting firm (for free).

Here are 10 Claude prompts that replace $100K/year stock analysts (Save for later)

[Crypto Rover @cryptorover]

Claude Fable (Mythos) can fully control your tradingview.

It can automatically trade for you 24/7.

Manual traders are completely cooked.

[Alvaro Cintas @dr_cintas]

A single 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file just hit #1 on GitHub trending 🤯

It fixes LLMs' worst coding habits using 4 principles from Karpathy:

Karpathy called LLMs out for making wrong assumptions silently. They overcomplicate everything. They edit code they were never asked to change. No pushback. No clarifying questions. They just run.

So those observations were encoded into 4 behavioral constraints:

→ Think before coding. If something’s ambiguous, ask. Don’t pick one interpretation and run. Surface tradeoffs, stop when confused.
→ Simplicity first. Write the minimum code that solves the problem. No speculative abstractions, no flexibility nobody asked for.
→ Surgical changes. Only touch what the task requires. Don’t improve neighboring code, don’t refactor what isn’t broken.
→ Goal-driven execution. Turn vague instructions into verifiable targets before writing a line. “Add validation” becomes “write tests for invalid inputs, then make them pass.”

It works immediately.

Drop the file in your project root and Claude Code follows it from the first task.

One file. Zero dependencies. No setup.

And best part, 100% open source.