Gily

[Gily @Gily]

@zaruww @rahmaanxz Notes

[𝐙𝐀𝐑𝐔 @zaruww]

Stop wasting months watching ICT videos.

I already did it for you.

Every lesson from the 2022 ICT Mentorship (41 episodes)...

Condensed into 90+ pages of clean, organized notes.

Like + Follow + Comment "Notes" and I'll send you the PDF.

[Gily @Gily]

@nomadascalper Amazing, will this be available

[Gily @Gily]

@nomadascalper I want it

[NomadaScalper @nomadascalper]

If you're looking to pay for a simple trend indicator, you won't even need to.

If I see enough support in retweets, likes, and comments saying "I want it!", I'll make it completely public and free in a few days once I finish tweaking it.

This indicator is what kept me from making bad decisions with the magics every single time.

I promise you it’s built way better than the junk those scammers try to sell you.

[Himanshu Kumar @codewithimanshu]

A 33-year-old trader became obsessed with probability instead of predictions.

Instead of asking "Where will Bitcoin go?"

He asked:

"What if 31 different models vote before every trade?"

That single idea changed everything.

I studied the system and rebuilt the framework.

Giving it away free for the next 24 hours.

To get it:

1. Comment "BTC"
2. Like & Retweet
3. Follow @codewithimanshu (so I can DM you)

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

The idea behind the system:

One model is noise.

31 models voting is signal.

Instead of relying on one indicator, the engine waits for overwhelming agreement before risking capital.

Here's how it works:

→ Claude monitors BTC every 5 minutes
→ Feeds market data into the MiroFish simulation engine
→ Runs 31 independent market simulations
→ Trades only when 28+ models agree
→ Rejects trades when consensus disappears

No emotions.

No FOMO.

No impulsive entries.

Just probability.

Most traders force trades every day.

This system is designed to wait.

The framework also includes:

→ Kelly sizing for position management
→ Continuous data collection
→ Automated simulation cycles
→ Bayesian probability updates
→ Risk filters before execution

Why it works:

Most people try to predict the market.

This framework waits until multiple independent models reach the same conclusion before acting.

The edge isn't certainty.

The edge is consensus.

Deployment checklist:

→ Claude API access
→ MiroFish setup
→ Python environment
→ Exchange data feeds
→ Telegram alerts (optional)

Recommended workflow:

→ Test in paper trading first
→ Track performance over hundreds of trades
→ Validate the strategy before risking real capital
→ Scale only after consistent results

Markets reward discipline.
Not predictions.

Save this post.
Build the framework.

Let probability—not emotion—make the decisions.

Follow @codewithimanshu so I can send you the complete guide.

[Gily @Gily]

@codewithimanshu BTC

[Clint Awana @clintoptions]

We are officially starting the second 2026 $500 to $1 million account challenge!

I turned $500 into $84,000+ in a single month earlier this year. Millionaires were made by following me.

LIKE this post in order to get full access to the account challenge group for all trades!

[Gily @Gily]

@vulturetrades Guide

[Vulture trades 🦅 @vulturetrades]

If you're an options trader - there's a hack you should learn that no one is talking about. It makes finding 100% trades way more consistent.

I grew an account from $1k → $1,057,000 in 1 year using the exact same two concepts every single day.

I made a FREE 5-page guide that will teach you this same exact strategy.

Like + comment “Guide” and I will send you a DM.

[Gily @Gily]

@NadzuAI AI

[Gily @Gily]

@rahmaanxz Claude

[Gily @Gily]

@clintoptions Algori

[TradeZella 🦄 @TradeZella]

This trader went from ICT to order flow and now has over $2 million in prop firm payouts.

Last month alone? $194,000.

Here's why he ditched everything he was taught ↓

Yush used to trade like most people. Patterns. Confirmations. Waiting for candles to close.

Then he started looking at what was actually happening behind the candles.
Not the shape. The orders.
Who's aggressive. Who's trapped. Where the big money is sitting.
That changed everything.

He built his system around four things.
If at least two show up at the same price, that's his zone. If price never comes back to it, he doesn't trade.

No chasing. No guessing.

He runs two models. One for range days. One for trend days.

→ Range? He sells into failed breakouts. Buyers get aggressive, price doesn't move, they get trapped. He fades them.
→ Trend? He waits for the pullback. If the other side gets trapped, he rides the continuation.

Two or three trades a day. Done in the first hour most days.

One morning he was finished in 30 minutes. Made more than his old job paid.

Single trade last month: 15 points of risk. 60+ points of profit.

January 15th he made $6K across five accounts. That put him over $100K in payouts — 13 trading days into the month.

Four tools. Two models. Patience.
Same system every day for years. $2 million in payouts.

--

We put together Yush's complete order flow playbook...

Reply 'OF' and we'll drop it in your DMs 👇

[Gily @Gily]

@TradeZella OF

[PJ Trades @PJtrades_NQ]

Imagine catching 656 POINTS in one day.

That's what my IFVG Indicator did.

It's been printing thousands of A+ setups for me and my 25k+ students.

Like + Comment “IFVG” - I’ll DM it to you.

(Must be following to DM)

[Gily @Gily]

@PJtrades_NQ Ifvg

[Quinn @Crtquinn]

This video should cost 3 Trillion ⚠️

The Only ICT strategy that has 98% win rate

Bookmark it. Retweet it

[Gily @Gily]

@clintoptions Free

[Clint Awana @clintoptions]

I spent 2 nights reading Claude trading codes.

Then I built a trading bot that turned $1,400 into $238,000 in just 11 days.

67 trades. 80% win rate.
Want to know how I did it? I’m handing out the trading bot guide for FREE

Like and Repost and I will send it to you!