Paul Coughlin

Eth: 0xf327bA448FD3f9f4e8DCE8B64AF8ED8007Ea7Aa5

[Paul Coughlin @PCoughlinNOLA]

@liam_holt7 Ds

[Paul Coughlin @PCoughlinNOLA]

None. The shirt pattern is complete with material in some places and not in other places.
The areas that go around your appendages are not "holes" they are features of the shirt itself. If it was a Bag, then it might have 16 holes, but since it is a shirt with a pattern of areas with no fabric, the answer is NONE.

[Paul Coughlin @PCoughlinNOLA]

@RHerman guide

[Paul Coughlin @PCoughlinNOLA]

@vulturetrades guide

[Paul Coughlin @PCoughlinNOLA]

@codewithimanshu Claude

[Paul Coughlin @PCoughlinNOLA]

This looks interesting. The dashboards that can be made with AI are pretty amazing.

[Himanshu Kumar @codewithimanshu]

You don't need a $2 billion hedge fund to run a quant trading loop anymore.

Bridgewater is already using AI across the same process systematic traders have followed for decades.

The workflow is simple:

1. Think of an idea

Explain the trading strategy in plain English.

The AI turns the thought into something testable.

2. Build the strategy

The agent writes the code.

Entry rules.
Exit rules.
Position sizing.
Risk management.

3. Test it against history

Run the strategy through years of historical data.

Find the winners.

Kill the weak ideas.

4. Put it into production

Once it passes the tests, the workflow can move toward live broker execution.

5. Perform the autopsy

The AI analyzes the results.

Not just:

"Did it make money?"

But:

Where did the edge come from?

And more importantly:

Where did it disappear?

6. Improve the strategy

The agent takes what it learned and rebuilds the weak parts.

Then runs the entire process again.

That's the loop:

Idea → Code → Backtest → Deploy → Analyze → Improve

And this is where things get interesting.

A recent test produced:

57% win rate

12.39% return

Sounds good.

But the AI still gave the strategy:

1/100 — MARGINAL

Instead of flattering the trader, it showed where the strategy was leaking money...

then rebuilt it.

That's what makes AI useful for quant trading.

it's not just a prediction engine.

It's a research engine.

One that can keep generating, testing, criticizing, and improving ideas without needing an entire floor of analysts.

💡 I'm sharing the complete AI QUANT workflow behind this approach.

The six-step system.
The prompts.
The backtesting framework.
The strategy optimization loop.

Free for 24 hours.

To get it:

1️⃣ Comment "QUANT"
2️⃣ Like + Repost
3️⃣ Follow @codewithimanshu

I'll DM you the setup.

[Paul Coughlin @PCoughlinNOLA]

@codewithimanshu Quant

[Paul Coughlin @PCoughlinNOLA]

@AI_creator_Yara Claw

[Marceline Yara @AI_creator_Yara]

I generated $43,800 overnight using an automated OpenClaw setup.

At 3:47 AM, my system triggered a confirmation alert. I approved it half-asleep—by morning, the position had closed with a +$43,800 gain.

I’ve documented the exact, step-by-step process behind this timezone arbitrage strategy.

[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞: @AI_creator_Yara (𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌)]

What you need:
• Claude
• A laptop
• 24 hours to test it (no cost)

The system runs continuously, scanning global news across Japanese, European, Australian, and Middle Eastern markets.

It identifies pricing inefficiencies—situations where outcomes are already reflected overseas, but U.S. markets have yet to adjust.

After 9 days of running this setup, the results have been consistent—and eye-opening.

Most traders focus on EST. Markets don’t.

While one region sleeps, another resolves events in real time.

That timing gap is the opportunity.

How to access the guide:

1. Comment " 𝐂𝐥𝐚𝐰 "
2. Like & repost
3. Follow @AI_creator_Yara (so I can send it via DM)

[Paul Coughlin @PCoughlinNOLA]

@codewithimanshu Claude

[Himanshu Kumar @codewithimanshu]

My dad called Claude a toy for people who can't trade.

He's been trading for 20 years.

I didn't argue.

I just turned the monitor toward him.

He read the results twice.

That can't be right.

27 days.
$200 → $25,400.
74% win rate.
Sharpe 2.47.

While 92% of traders lose money, a tiny fraction quietly extracts millions.

Then I showed him why.

86M+ Polymarket trades analyzed.

Every wallet.
Every entry.
Every exit.

One Claude prompt:

Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit.

14,000 wallets scanned.
47 elite wallets found.

The top 20 earned more than the other 13,000 combined.

He looked at me and said:

That's not data. That's a treasure map.

But that wasn't the real edge.

Three independent AI agents vote on every trade.

✅ 2 agree → Full position
⚠️ 1 agrees → Half position
❌ No consensus → No trade

That one rule eliminated nearly 40% of losing trades.

Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices.

One wallet grew $35K into $442K.

73 live dashboards handle everything:

→ Whale tracking
→ Insider detection
→ Wallet clustering
→ Signal scoring
→ Arbitrage opportunities
→ Smart money monitoring

No emotions.
No guessing.
Just data and execution.

Then he asked:

How much does this cost?

About $25/month.

Silence.

I've been paying analysts six figures to do half of this.

The crazy part?

The tools are public.

Most people still think AI is just for writing emails.

Meanwhile, others are quietly using it to build an edge.

🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this.

Free for 24 hours.

To get it:

1️⃣ Comment the "Claude"
2️⃣ Like and Repost
3️⃣ Follow @codewithimanshu

Make sure to follow me @codewithimanshu ( so i can send you DM)

[Paul Coughlin @PCoughlinNOLA]

@DionTrades_ @I_Am_The_ICT ICT

[DionTrades ✪ @DionTrades_]

559 pages of ICT notes.

Every concept @I_Am_The_ICT ever taught, written down while I was still blowing accounts every month.

FVGs. Order blocks. AMD. MSS. SMT divergence. Daily bias. Kill zones. The algorithm.

All of it, in order, in one document. Free since 2023.

To get it:
1. Like
2. Repost
3. Comment "ICT"

& I'll DM it to you today.

MUST be Following (so X allows me to DM you)

[Dinesh D'Souza @DineshDSouza]

IT'S CALLED - Ilhan Omar learns her fate as primary election finally called
https://t.co/RNYfr4P2hK

[Paul Coughlin @PCoughlinNOLA]

@sumitdoriya21 Fable

[Sumit Doriya @sumitdoriya21]

A 19-year-old Japanese student built a trading bot with Claude Code in 2 days.

Used his iPad as a second monitor.

First night: $6,732 profit.
Starting capital: $68.

Total profit so far: $750,000.

Here's how it works:

The bot scans over 50 markets simultaneously.

Syncs live BTC data from Binance every second.

Spots price errors before humans even notice.

The edge is pure speed + pattern recognition.

While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.

No guessing.
No emotions.
No hesitation.

Just Claude Code logic finding gaps that close in seconds.

He built the entire system in 48 hours:

→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open

The system runs 24/7.

Every price dislocation = profit opportunity.

Most people are still trading manually, refreshing charts, second-guessing entries.

Meanwhile this 19-year-old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.

Why are people still trading manually?

💡 I'm giving away the exact Claude Code setup for free.

24 hours only.

To get it:

1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @sumitdoriya21

I'll DM you the complete setup.

[Paul Coughlin @PCoughlinNOLA]

@DionTrades_ ICT

[Paul Coughlin @PCoughlinNOLA]

@JamesBoydCS @JamesBoydCS ... can you give the URL to the "Column Heading|Purpoise|Script Code" PDF so the share codes can be copied?

[Paul Coughlin @PCoughlinNOLA]

@Bradgohtrades guide

[Paul Coughlin @PCoughlinNOLA]

@AndrewBolis Money