Ω

I help create history

[peeyush @peeyuzz]

@miramurati @tinkerapi this is why dario has been crashing out and asking for ban on open source models... he knows finetuned models outperform both on cost and accuracy

[The Last Boy Scout @Jack_Schmidt_TM]

I dated a woman who was unreasonably upset I didn't care she ran triathalons. She even cried about it.

An odd bi-product of feminism is women stopped even knowing what it is about women that men value. They've been told so much their value is in masculine traits that they think we're the same.

We're not.

I didn't care she was an athlete competing all the time. What I did care about was she wasn't a source of peace.

Guys don't want to marry dudes. We want to marry women.

[Ω @aprolec]

I will not be surprised if she is not already pregnant.

Let's see what the next 7-8 months holds for us all.

[GehGeh @official_Gegeh]

Peller why?

You still growing as a child why get married now eehn.. I tried my possible best to help you but you failed to listen to me..

[Nav Toor @heynavtoor]

A developer in China named tw93 got tired of his laptop dying.

He would open Slack and watch 524 megabytes of disk space disappear. He would open Discord and watch another 265. He would open Notion and watch 800 megabytes of RAM evaporate before he had typed a single word.

He looked into why.

Every "desktop app" on his computer was the same thing. A website wrapped in a full copy of the Chrome browser engine. The framework is called Electron. An empty Electron app starts at 150 megabytes of RAM before you click anything. With twelve of them open, his laptop was running twelve copies of the same browser.

He thought there had to be a better way.

So in 2022, he started building one.

He called it Pake. Two characters in Chinese mean "packaging." He wrote it in Rust on top of a framework called Tauri. The idea was simple. Point Pake at any webpage. Get a desktop app. Without dragging an entire browser engine into the binary.

The first version of Slack he wrapped with it was 8 megabytes.

Not 524. Eight.

That is what 20 times smaller looks like.

Four years later, his repo has 50,594 stars. 6,144 forks. The license is MIT. The last commit was yesterday.

The bio on his GitHub reads: "Anything added dilutes everything else."

Today the Pake releases page contains pre-built apps for ChatGPT, Discord, Gemini, Grok, DeepSeek, Twitter, YouTube, Excalidraw, Flomo, WeChat, and twelve more. All under 10 megabytes. All native. All free.

Or you point Pake at any URL you want and it builds one for you in one command.

Slack's desktop app: 524 megabytes.
Pake-built Slack: 8 megabytes.

Discord's desktop app: 265 megabytes.
Pake-built Discord: 9 megabytes.

ChatGPT for Windows: 260 megabytes.
Pake-built ChatGPT: 9 megabytes.

tw93 is one person. He has 11,305 followers on GitHub. He runs a blog at https://t.co/WZoyHop8Id. He has shipped 39 public repos. He still pushes commits to Pake every week.

He did not start a company. He did not raise money. He did not write a Medium post about how Electron is dead.

He just shipped the thing that made it true.

(Link in the comments)

[Babájídé @Babajiide]

Better still why not do this

Buy a flat for 150m-200m
Furnish it with 30m
Get a car 70m
Fix 1B at the new 10 year bond of 22% (gives you 220m yearly)
Have 100m as sundry!

Then you are set for life

[Alexander 𖤓 Nietzschean Vitalist @UbermenschMind]

victim weight

[Ω @aprolec]

Short answer.... Yes

Long answer.... given the right tools and sufficient cleaned data.

[Sir Dante ~THE 1st 🔺 @followthypath]

Can AI really outperform human traders?

[Anthony GG @anthdm]

What do you see?

[Ω @aprolec]

Did the US later continue paying the $200million and agree to Anthropic's demands?

Or they played the hole-in-the-bucket

[Lukasz Olejnik @lukOlejnik]

Mythos AI is being used by National Security Agency in offensive cyber operations / cyberattacks. Anthropic has even embedded engineers inside the NSA to help deploy the model. Are frontier AI labs becoming active contractors in state cyber conflict? The live-ops role is still unclear. https://t.co/wIUXLZQE64

[Mark Essien @markessien]

I like how everyone thinks that AI will help them do our jobs.

If you think AI makes you a software developer, than we software devs can also use AI to become bankers.

There is more involved in the work than what AI does for you.

[Atlas @DentesLeo]

"The hype is real"

[Ren-1904@FX兼業トレーダー @Ren1904fx]

昨日は +3,110円。
5月月間は +36,137円。

今月は、介入相場でかなりやりづらかったけど、
無駄撃ちせず、撃つところだけ撃てた。

余計な負けを作らないことを一番大事にしてる。

守って残す。
静かに積む。
これが信条。

[𝔼𝕝𝕖𝕡𝕙𝕔𝕙𝕚𝕝𝕕 (ℙ𝕖𝕟 𝕄𝕒𝕤𝕥𝕖𝕣)🐘🔥 @ElephchildCopy]

She rejected the first guy because he doesn’t go to church, then accepted the second guy who also doesn’t go to church💀

Can you see the marketing lesson here? Humans don’t ALWAYS reject the “thing.” Sometimes, they reject the PERSON presenting the thing.

In marketing, dating, and even life generally, people hardly buy only based on logic.

They buy based on perception, emotions, status, feelings, timing, packaging, and how you make them feel emotionally.

Same “offer.” Different result. Welcome to the school of human psychology😂🔥

[Tom Dörr @tom_doerr]

Detects market regime shifts using Gaussian mixture models

https://t.co/YMZMHb99xz

[Ω @aprolec]

No insect has ever survived being cooked alive.

Boil a handful of hot water and surprise them.

You will have peace within 3hrs from then henceforth.

[WILSON @iamw1lsn]

Let me give you this trick a someone told me to instantly kill bedbugs

Buy canfo and grind to powder form.

Get a 5 liter gallon and add some kerosene and jubali agrotec dd force. Leave it to soak for 2 days, then put it inside a sprayer and spray your house.

But for 24 hours, you must not stay inside the house.

Do this and thank me later ❤️❤️

[Breakout Trading Academy @onlybreakouts]

They told us to avoid low ADX.

Turns out... that's exactly where the real edge hides.

📉 SHORTS → ADX > 30 = confirmation
📈 LONGS → low ADX = real edge

Low ADX signals coiled volatility.

It’s not chop. It's a buildup.

So we built our model breakout strategy using:

• Volatility = open–low difference
• Breakout level = low + (3.3 × volatility)
• Stop entries only
• Entry filter: 8am–3pm
• Exit: when ADX > 40 or after time limit

This flip gave us a consistent edge in markets most traders avoid.

Full breakdown + free resource in the comments

[System Theory (TheWolf) @TheWolf534]

These are my LIVE stats on @FTMO_com

588 trades
50% win rate
1.30 Profit Factor

And keep in mind…
At the start, I was only running 1–2 systems.

Now I run 30+ systems across multiple accounts.

This is the real power of systematic trading.

The equity curve improves as you add more systems, more instruments, and more diversification.

This year, the vision is clear:

$1M AUM.

As many accounts, systems, and portfolios as possible.

I am also building one of the strongest trading communities in the space.

Data scientists.
Developers.
Mathematicians.
Systematic traders.

All with the same vision:

SCALING WITH PROP FIRMS AND LIVE CAPITAL.

When you surround yourself with people who have the same goals, the same hunger, and the same vision…

Everything becomes easier.

Everything becomes better.

[Ω @aprolec]

If I did not have results like this, I probably wouldn't have believed it even in a hundred years.

[Santi @santiagofz87]

I completed the first phase of my "Freedom Model"

I call it this because it is the only model you will need to go from 0 to buying your freedom from this skill.

The parameters for this backtest were:

Same model over and over
1%/1R risk on every trade
2 trades per day max
1 win and done
1 loss and another trade

The results:

+ 187RR
+ 231 trades
+ 60% win rate
+ 2RR AVG
+ 3.05 Profit Factor
+ 6 Sharpe Ratio
4 MAX CONSECUTIVE LOSSES

With these stats I can easily approach any prop firm on the map and comfortably risk 1.5-2% without ever blowing my account, this not only allows me to pass with speed but then be able to without stress extract consistent large payouts from these firms.

In the next phase of completing this model I will add jan - aug 2025 of data to the track record which should put the backest at around 400 Trade track record.

Now to build further build my prop payout track record, teach this to the discord and Further Evolve as a soul.

[D. Martin @dmartin_trading]

When I was a discretionary trader, I manually backtested a simple trend following MA crossover strategy on Gold and Nasdaq from 2004 - 2025. Yes! I manually took all the entries and recorded all the metrics on 21+ years of data!

It was over 1200+ lines in my spreadsheet and took me about 2 months to complete. This was back in August of Last year. I knew nothing about algo trading back then. I use to think systematic traders were either scammers who sell robots or people like Jim Simmons. No in between.

However, after manually backtesting this much data it showed me two things that made me began considering algo trading:

1. That simple strategies work. The MA crossover strategy was so simple that I asked myself "instead of manually trading this, can't I just automate it?"

2. Having two uncorrelated strategies was a hack. I realized that when my performance on gold struggled, most times Nasdaq made up for it. There was a stretch from 2012 - 2016 however as you can see from the performance where both were struggling a bit. But still a profitable period.

All in all, even though I spent two months backtesting a strategy manually that could've been automated if I knew it. These two months really gave me confidence in trend following and taught me A LOT about markets which I had previously misunderstood.

If you are interested, you can view the full spreadsheet with all the details here: https://t.co/IT6urxKIzP

[Ω @aprolec]

A simple breakout strategy on USDJPY
1:2RR
54% winrate after fees
No compounding