M

[M @mwaypointm]

@CoinbaseSupport See?

[M @mwaypointm]

@CoinbaseSupport I was never given a case number, and was told consistently there is nothing can be done. Happy to work with you and look into what’s happening if an official support case can make a change

[M @mwaypointm]

@CoinbaseSupport I’ve contacted the concierge team, Coinbase support, and the credit card department. At this point, I’m not sure anything a DM would change. The screenshot essentially tells the story. Still, thank you for reaching out. I wish I could see honest user experiences before applying

[M @mwaypointm]

@coinbase Otherwise, this is the best credit card I can find! Easy all category 4%, no card can beat it. If you know another card better, please let me know! As i am forced to switch

[M @mwaypointm]

@coinbase Even worse, I had about a -$1,000 balance, meaning they owed me money, but my available credit was still only a few dollars.

[M @mwaypointm]

@coinbase By that point, I had already moved phone payments, subscriptions, and other recurring bills to the card. Then charges started getting declined, and I had to waste time moving everything back.

[Himanshu Kumar @codewithimanshu]

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just ONE month.

He built a perfect BTC price simulation engine with MiroFish. Claude as the algorithm's brain. $5,000-$15,000 profit per trade.

I made $28,200 in 21 days copy-trading him.

I've made the exact build guide. Giving It Free for 24 hours.

To get it:
1. Comment "CLAUDE"
2. Like and Retweet
3. Follow me @codewithimanshu (Only then, i can DM you)

You only need Claude + a laptop + 1 hour/day.

The wallet that started this.

His Polymarket handle: marketing101. A quiet joke about his old career.

$366K all-time profit. Constantly fades the crowd because his simulation reads the market better than everyone else.

I reverse-engineered his stack. Had Claude rebuild the same simulation engine.

20 minutes. Done.

What the bot actually does:

→ Pulls live BTC data from Binance + Coinbase + Bybit WebSockets
→ Pulls closed order book depth most retail traders never see
→ Cross-references private OTC desk feeds for institutional flow
→ Feeds the entire context into MiroFish force-graph engine
→ Runs 10,000 simulation cycles before every single trade
→ Detects mispricing the moment Polymarket diverges from real BTC value
→ Executes when simulated edge exceeds 5% probability gap
→ Skips when liquidity thin, signal conflicts, or daily cap hits
→ Auto-rebalances position sizing based on Bayesian win-rate updates

What makes this different from every retail bot:

→ Closed order book data, not just public Binance feed
→ Private OTC desk integration (institutional-grade alpha)
→ 10,000 Monte Carlo cycles per trade (most bots run zero)
→ Claude reasons over every signal in real time
→ Already elite alpha. Already public proof.

Risk controls baked in:

→ Per-trade risk: half-Kelly sizing
→ Daily cap: 2% of bankroll
→ Auto-halt on 5 consecutive losses
→ Paper mode default. Live requires explicit flags.
→ Runs on local terminal. No cloud. No GPU.

The setup checklist:

→ Polymarket wallet on Polygon. USDC funded. $500-$1,000 to start.
→ CLOB API key from docs of polymarket
→ Claude API key for the simulation reasoning
→ MiroFish setup (open source, 18K GitHub stars)
→ Telegram bot for live alerts

The deployment path:

→ Generate the simulation engine with corrected prompt in Claude Code
→ Python 3.11+, virtualenv, pip install
→ Run paper mode for 7 days minimum
→ Need 200 trades, 75%+ win rate, 0 crashes before going live
→ Deploy to $5/month VPS for 24/7 uptime
→ Start live with $100. Scale after 50+ live trades.

The edge:

→ Not "guessing where the chart will go"
→ Pure fusion of AI + MiroFish + insane math on exclusive data
→ Profit captured from running 10,000 versions of every market reaction before the market moves

The expiry date:

→ Polymarket detects whale convergence patterns
→ Closed order book data leaks into public feeds
→ Multi-simulation setups become standard
→ Window closes within 12 months

He's not predicting the future.
He's running 10,000 versions of every market reaction before the market moves.

You're staring at charts hoping for a setup.
He's running Monte Carlo simulations while you sleep.

Don't want to build it? Copy his wallet directly with even $10:

Polymarket is not legal for US residents. Check your country first.

Save this post. Build the simulation engine this weekend. Start with $100. Scale on evidence.

You Must Follow me @codewithimanshu, so i can send you DM.

[Jesse Cohen @JesseCohenInv]

Ray Dalio gives a 39 minute master class on wealth creation.

Watch this instead of Netflix.

[Math Files @Math_files]

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

[ABC News @ABC]

Waymo's self-driving cars were put on pause by the company on Saturday in San Francisco after the autonomous vehicles were baffled by the lack of traffic signals due to a widespread power outage in the city. https://t.co/t6NgkBCTe7

[De Christian Life @DeChristianLife]

What women really want?

[投资TALK君 @TJ_Research]

CITADEL今年那么拉跨吗？

[M @mwaypointm]

@siro_ino_ Anyway we can buy this?

[0xNobler @CryptoNobler]

The next Altseason starts on July 18 🔥

Insiders just started accumulating lowcaps - now is your best chance to get in!

In 2021, I followed the same insiders and made $200,000 on alts.

Today, I'm also buying altcoins with 100–200x potential 👇����

[Boring_Business @BoringBiz_]

This is easily my favorite clip of Bill Ackman

> His fund was down 30%+
> Being sued by Valeant Pharma investors
> Going through divorce with his wife
> Elliot, an activist firm, trying to take over his fund

Here is his advice on how to deal with the tough moments in life