Elif

AI Engineer ♡ AI, Web3 & Tech | Sharing ways to make money with AI | Claude • No-Code • Automation | Open to collaborations

[Elif @eliffxb]

@itsak1to bookmarks!

[Akito @itsak1to]

Cliff Asness runs a hedge fund in Greenwich, Connecticut. It will take $100 million from a client and, over ten years, generate more than $580 million in losses.

The losses are not the risk. They are the product.

Money roughly triples at the same time.

You use the losses to erase the tax on everything else you own - the company you sold, the building, the portfolio your father left you. Nearly six dollars of deductible loss for every dollar you put in. No other firm will put an offer like that on paper.

The idea came from a paper Asness read in 1993, one year into his career at Goldman Sachs. Its argument was that investors lose more money to taxes than they will ever gain by beating the market. He never got over it.

He had a doctorate under Eugene Fama and ran Goldman's quantitative research desk. He left with his team months before the IPO that made Goldman's partners rich.

In three years, assets in AQR's tax strategies went from $3 billion to roughly $70 billion. Across Wall Street more than $1 trillion now sits in structures built to shrink or delay what reaches the IRS. Every dollar of it is a dollar the rest of the tax base covers instead.

In July, Treasury officials told a room in New York that some of these strategies were "potentially abusive" and crossed lines "that should not be crossed." Fidelity shut new clients out. Schwab raised minimums and imposed margin limits. AQR quietly stopped publishing how much the strategies were pulling in, and added a line to its disclosures: the IRS could one day bar the benefits, or rule them illegal retroactively.

The money came in anyway. By March, AQR held $140 billion. The largest hedge fund on earth.

bookmark & watch - every trader on Wall Street spends a career trying to beat the market. The bigger number was always on the other side of the ledger. The entry ticket is a hundred million dollars - which is the whole point. This was never built for you to use. It was built for you to cover.

[Akito @itsak1to]

Michael Porter Jr. signed a $207 million contract. his younger brother destroyed his own NBA career for $22,000 gambel bet.

Jontay Porter was on a two-way deal with the Raptors around $415,000, six figures landing in his account every two weeks. by every measure he was the most financially secure he had ever been.

then he started betting on himself to fail.

the NBA found at least 13 wagers on his own prop lines, totaling $54,000. he pulled himself out of games early, claiming injury, so bets on his "under" would cash. his total winnings: $22,000.

the cost: a lifetime ban from the NBA, a guilty plea to conspiracy to commit wire fraud, and a sentencing hearing where he faces up to 20 years.

his brother said the money was never the point. "I don't think he was gambling for more money because he was financially way more stable than he's ever been. I really think it's the dopamine rush. He said it was so fun to him."

his lawyer told the court something darker: Jontay was deep in gambling debt, and the people he owed encouraged him to leave games early to clear it.

"everybody has different vices," Michael said. "my brother struggled with gambling."

he didn't trade his career for money. he traded it for a feeling - and the people holding his debt knew exactly what that was worth.

bookmark this & comment ↓

[Elif @eliffxb]

$10 → $1,140 on bir günde.

Sonra $1,140 → $9,870 ayın sonunda.

Hepsi çoğu insanın tamamen göz ardı ettiği tek bir şeyi anlamaktan geldi:
paranın psikolojisi.
Para kazanmak aslında bir strateji sorunu değil.
Bir psikoloji sorunu.

En büyük avantaj daha iyi bir sistem değil.
Çoğu insanı yerinde tutan zihinsel kalıpları net görmektir:
• para geldiği an harcamak
• dibe vurunca panikle satmak
• zararları kesmeyi reddetmek
• kazandıktan sonra aşırı riske girmek
• zengin olmaktan çok ortalama kalmayı daha güvenli hissetmek

Kayıptan kaçınma.
Zihinsel muhasebe.
Ödeme acısı.
Statü ve korkunun her finansal kararı sessizce kontrol etmesi.
Bu kalıpları net gördüğünüzde artık kendi zihninizle savaşmayı bırakıp
kendinizden koruyan kurallar kurmaya başlarsınız.

Bu kayıt hiçbir zaman bir para silahı olarak düşünülmemişti.
Kimse bir üniversite profesörünün insanların parayla ilgili gerçek düşünme şeklinin
tam haritasını tek bir temiz derste vereceğini beklemiyordu ama tam olarak olan bu.
O odadaki öğrenciler yılda on binlerce dolar ödüyor.
Burada ücretsiz.

Kalıcı servet inşa eden herkes eninde sonunda bu materyale geri dönüyor.
Çoğu insan bir kere izleyip unutuyor.
Birkaç kişi gerçekten uyguluyor.

Neredeyse kimse bu dersin varlığından haberdar değil.
Kaldırılmadan önce izleyin.
Bu para psikolojisi dersinin pratik özünü aldım ve
duygusal para kararı asla vermeyen canlı bir opsiyon botu kurdum.

Bu botun tam konfigürasyonunu ücretsiz veriyorum.
Sadece 24 saat.

Almak için:

“BOT” yazıp yorum yapın
Beğenin ve hesabını takip edin

Komple kurulumu doğrudan DM’den göndereceğim.

[Elif @eliffxb]

$10 → $1,140 on bir günde.

Sonra $1,140 → $9,870 ayın sonunda.

Hepsi çoğu insanın tamamen göz ardı ettiği tek bir şeyi anlamaktan geldi:
paranın psikolojisi.
Para kazanmak aslında bir strateji sorunu değil.
Bir psikoloji sorunu.

En büyük avantaj daha iyi bir sistem değil.
Çoğu insanı yerinde tutan zihinsel kalıpları net görmektir:
• para geldiği an harcamak
• dibe vurunca panikle satmak
• zararları kesmeyi reddetmek
• kazandıktan sonra aşırı riske girmek
• zengin olmaktan çok ortalama kalmayı daha güvenli hissetmek

Kayıptan kaçınma.
Zihinsel muhasebe.
Ödeme acısı.
Statü ve korkunun her finansal kararı sessizce kontrol etmesi.
Bu kalıpları net gördüğünüzde artık kendi zihninizle savaşmayı bırakıp
kendinizden koruyan kurallar kurmaya başlarsınız.

Bu kayıt hiçbir zaman bir para silahı olarak düşünülmemişti.
Kimse bir üniversite profesörünün insanların parayla ilgili gerçek düşünme şeklinin
tam haritasını tek bir temiz derste vereceğini beklemiyordu ama tam olarak olan bu.
O odadaki öğrenciler yılda on binlerce dolar ödüyor.
Burada ücretsiz.

Kalıcı servet inşa eden herkes eninde sonunda bu materyale geri dönüyor.
Çoğu insan bir kere izleyip unutuyor.
Birkaç kişi gerçekten uyguluyor.

Neredeyse kimse bu dersin varlığından haberdar değil.
Kaldırılmadan önce izleyin.
Bu para psikolojisi dersinin pratik özünü aldım ve
duygusal para kararı asla vermeyen canlı bir opsiyon botu kurdum.

Bu botun tam konfigürasyonunu ücretsiz veriyorum.
Sadece 24 saat.

Almak için:

“BOT” yazıp yorum yapın
Beğenin ve hesabını takip edin

Komple kurulumu doğrudan DM’den göndereceğim.

[Elif @eliffxb]

Most people treat market noise as something to ignore.

Prof. V. Balakrishnan treated it as something to measure.

Years ago he gave a lecture at IIT Madras called “Power spectrum of noise”.

NPTEL put it online for free.
Thousands of students watched it.
Almost none of them ever used it to trade.
In that lecture he shows that noise is not just “random”.

It has a spectrum.

A shape.

A distribution of energy across frequencies.
He derives it from the autocorrelation function, walks through the Wiener–Khinchin theorem, and ends up with a clean picture of white noise, coloured noise, and 1/f noise - all on a simple board with chalk.

No slides.
No software.
Just the math that actually describes randomness.

I watched it twice.
Then I built a bot that doesn’t look at price the way most traders do.

It looks at the live power spectrum of the noise inside the price.

When the spectrum shifts in a specific way, the bot acts on options.

23 days of live trading:
$420 → $19,700
69% win rate

I’m releasing the full configuration of this bot for free.
Only for the next 24 hours.

To get it:

Comment “market”
Like and Follow me

I’ll DM you the complete setup.

[Elif @eliffxb]

Most people treat market noise as something to ignore.

Prof. V. Balakrishnan treated it as something to measure.

Years ago he gave a lecture at IIT Madras called “Power spectrum of noise”.

NPTEL put it online for free.
Thousands of students watched it.
Almost none of them ever used it to trade.
In that lecture he shows that noise is not just “random”.

It has a spectrum.

A shape.

A distribution of energy across frequencies.
He derives it from the autocorrelation function, walks through the Wiener–Khinchin theorem, and ends up with a clean picture of white noise, coloured noise, and 1/f noise - all on a simple board with chalk.

No slides.
No software.
Just the math that actually describes randomness.

I watched it twice.
Then I built a bot that doesn’t look at price the way most traders do.

It looks at the live power spectrum of the noise inside the price.

When the spectrum shifts in a specific way, the bot acts on options.

23 days of live trading:
$420 → $19,700
69% win rate

I’m releasing the full configuration of this bot for free.
Only for the next 24 hours.

To get it:

Comment “market”
Like and Follow me

I’ll DM you the complete setup.

[Akito @itsak1to]

Jim Simons built the most profitable hedge fund in history by refusing to hire anyone who understood finance. no MBAs. no traders. no Wall Street veterans.

"we don't hire people from Wall Street. we hire people who have done good science."

he took mathematicians, physicists, astronomers, and codebreakers - people who had never bought a stock in their lives. prior market experience wasn't a gap on the résumé. it was a disqualification.

his reasoning was that financial training actively damages you. it teaches you to think in narratives, to grow attached to positions, to believe you understand why something happened. all of that contaminates the data.

the results are almost impossible to believe. from 1988 to 2018 the Medallion Fund averaged 66% a year before fees. one losing year in three decades. $100 invested in 1988 became $398 million.

in 2008, while the financial system collapsed, Medallion returned 82% net of fees.

the fund is closed to outsiders. it manages only employee money. and Simons enforced one rule above all others: "the only rule is you never hit the override button." no human is ever allowed to overrule the model, no matter how wrong it feels.

he was a Cold War codebreaker who chaired a university math department before he ever traded anything. he didn't beat Wall Street by learning its rules. he beat it by hiring people who had never heard them.

bookmark this & comment↓

[Akito @itsak1to]

In 2007 Goldman Sachs sold its own clients $600 million of a mortgage deal called Timberwolf. Its executives had already put in writing what they thought of it. Three years later a senator read that email aloud on live television.

He was not swearing. He was reading.

The words belonged to a Goldman Sachs executive describing a mortgage security called Timberwolf. "Boy, that timberwolf was one shitty deal." The bank sold roughly $600 million of it to its own clients.

Across the table sat Lloyd Blankfein, chief executive of the most powerful investment bank on earth, under oath, listening to his firm's internal email read back to him one line at a time. Outside in the hallway, protesters waited in prison stripes.

The structure underneath was simple enough to explain in a sentence. Goldman built mortgage products. It sold them to investors as sound. Then it took positions that paid out when those same products failed. When the housing market collapsed, the clients lost everything and the bank made money on the collapse it had packaged.

Blankfein's answer to the conflict was that there wasn't one. A market maker, he argued, has no duty to tell the buyer what the seller is doing on the other side of the trade.

Months later the SEC settled for $550 million - at the time the largest penalty ever paid by a Wall Street firm. Goldman conceded its marketing materials had contained "incomplete information." Blankfein kept his job for another eight years. Nobody went to prison.

The emails are public. The hearing transcript is free. What it cost to learn the lesson was everything the clients had.

When someone is selling you something and betting against it at the same time, the trade is not the product. You are.

[Elif @eliffxb]

Most people treat market noise as something to ignore.

Prof. V. Balakrishnan treated it as something to measure.

Years ago he gave a lecture at IIT Madras called “Power spectrum of noise”.

NPTEL put it online for free.
Thousands of students watched it.
Almost none of them ever used it to trade.
In that lecture he shows that noise is not just “random”.

It has a spectrum.

A shape.

A distribution of energy across frequencies.
He derives it from the autocorrelation function, walks through the Wiener–Khinchin theorem, and ends up with a clean picture of white noise, coloured noise, and 1/f noise - all on a simple board with chalk.

No slides.
No software.
Just the math that actually describes randomness.

I watched it twice.
Then I built a bot that doesn’t look at price the way most traders do.

It looks at the live power spectrum of the noise inside the price.

When the spectrum shifts in a specific way, the bot acts on options.

23 days of live trading:
$420 → $19,700
69% win rate

I’m releasing the full configuration of this bot for free.
Only for the next 24 hours.

To get it:

Comment “market”
Like and Follow me

I’ll DM you the complete setup.

[Elif @eliffxb]

I built a bot for options trading.

Then I let it run overnight…

…and it pulled $41,800 in profit while I slept.

I’m giving away the complete setup for free.

After getting laid off from a big tech company, I took everything I learned about foundation models and pointed it at options instead of just price prediction.

The bot doesn’t try to guess direction like most retail traders. It hunts for mispriced premiums, volatility skew, and asymmetric risk/reward setups that only last a few minutes.
Every few minutes it scans the entire options chain, calculates true probability distributions, and compares them to the market’s pricing.

When the edge appears, it enters with strict rules:

• Minimum edge threshold
• Defined max risk per trade
• Automatic position sizing
• Hard daily loss limit
• Instant exit when the edge disappears

No emotions. No revenge trades. No staring at charts for hours.
Just a system that treats options like a probability game and only plays when the numbers are clearly in its favor.
I tested it live with real capital. First night: +$6,400 Full week: $41,800
I’m releasing the full step-by-step breakdown of how I built and deployed this options bot.
Free for 24 hours.

To get it:

- Comment the word "BOT"
- Like and Repost

Follow @eliffxb (only then I can DM you)

[Elif @eliffxb]

@0xLeohart SEND

[Elif @eliffxb]

I built a bot for options trading.

Then I let it run overnight…

…and it pulled $41,800 in profit while I slept.

I’m giving away the complete setup for free.

After getting laid off from a big tech company, I took everything I learned about foundation models and pointed it at options instead of just price prediction.

The bot doesn’t try to guess direction like most retail traders. It hunts for mispriced premiums, volatility skew, and asymmetric risk/reward setups that only last a few minutes.
Every few minutes it scans the entire options chain, calculates true probability distributions, and compares them to the market’s pricing.

When the edge appears, it enters with strict rules:

• Minimum edge threshold
• Defined max risk per trade
• Automatic position sizing
• Hard daily loss limit
• Instant exit when the edge disappears

No emotions. No revenge trades. No staring at charts for hours.
Just a system that treats options like a probability game and only plays when the numbers are clearly in its favor.
I tested it live with real capital. First night: +$6,400 Full week: $41,800
I’m releasing the full step-by-step breakdown of how I built and deployed this options bot.
Free for 24 hours.

To get it:

- Comment the word "BOT"
- Like and Repost

Follow @eliffxb (only then I can DM you)

[Elif @eliffxb]

@shevaxgod around 12k–15k data points every 0.3 seconds. Full chain + Greeks + skew in one pass

[Elif @eliffxb]

I built a bot for options trading.

Then I let it run overnight…

…and it pulled $41,800 in profit while I slept.

I’m giving away the complete setup for free.

After getting laid off from a big tech company, I took everything I learned about foundation models and pointed it at options instead of just price prediction.

The bot doesn’t try to guess direction like most retail traders. It hunts for mispriced premiums, volatility skew, and asymmetric risk/reward setups that only last a few minutes.
Every few minutes it scans the entire options chain, calculates true probability distributions, and compares them to the market’s pricing.

When the edge appears, it enters with strict rules:

• Minimum edge threshold
• Defined max risk per trade
• Automatic position sizing
• Hard daily loss limit
• Instant exit when the edge disappears

No emotions. No revenge trades. No staring at charts for hours.
Just a system that treats options like a probability game and only plays when the numbers are clearly in its favor.
I tested it live with real capital. First night: +$6,400 Full week: $41,800
I’m releasing the full step-by-step breakdown of how I built and deployed this options bot.
Free for 24 hours.

To get it:

- Comment the word "BOT"
- Like and Repost

Follow @eliffxb (only then I can DM you)

[Veles @velesxbt]

https://t.co/YoNbtFby2V

[Elif @eliffxb]

@0xVinnny send!

[Elif @eliffxb]

@vivaanix OPEN

[Elif @eliffxb]

@arjunquants curve

[Elif @eliffxb]

$180 → $2,740 Overnight.

My boy asked why the laptop was still glowing at 4:17 AM.

I told Claude to scan every Polymarket wallet while I slept. Woke up to the terminal still running and +$2,740 sitting there.
87% of Polymarket is exit liquidity. You’re it. My 6 Claude agents aren’t.

I have the full step-by-step guide to replicate this entire Claude scanning + copy trading setup.
Giving This Free for 24 hours. To get it:
Comment "Money" & Like and Retweet this post.

Follow me @eliffxb (then only, I can DM you)

That’s the whole system for you to start making money online using AI & Polymarket.

One prompt before bed:
"Scan every Polymarket wallet and GitHub repo. Find asymmetric payouts."

Woke up to +$2,740. Terminal still running.

Claude analyzed thousands of wallets overnight. Most of them bleed money. But 340 had something different.

Asymmetric payouts:

Enter at 27 cents. Exit at 91. Lose 27 cents when wrong. Win 64 when right. Only need to be right 1 in 4 times. They were right half.

You need a 25% win rate to profit. They hit 50%. That’s not luck. That’s edge.
Claude found 3 patterns:
Category specialists. One wallet: 91% win rate on crypto. 14% on politics. Total looks average. Filter to crypto only and it’s a top performer. You’d never find this manually.

Speed arbitrage. 47 wallets entering 3-8 seconds after Binance moved. Before Polymarket updated. Not predicting anything. Just faster than you.

Near-zero accumulation. Buying at 2-8 cents weeks before resolution. $8 in. $200 out. Hundreds of times. While you scroll past markets priced at 3 cents thinking “that’ll never hit.”
It hits. And these wallets are there every time.
Claude connected GitHub repos to run all three:
poly_data: scanned every wallet and entry price polyterm: whale tracking and insider detection py-clob: placed the orders

7 wallets copied. 204 trades. $25 seed.
6 agents running right now:
sigma_decay: 78% conviction darkpool_7: 87% conviction velvet_void: 85% conviction profitprinter: 54% conviction

Equity curve: $25 to $12,582. No meaningful dip. Sharpe 2.09.

You’re looking at Polymarket with your eyes. Claude is looking at it with thousands of wallets of data, GitHub repos, and pattern recognition running in parallel while you sleep.

You’re not even playing the same game.

You Must Follow me @eliffxb, so I can send you DM.

[Elif @eliffxb]

My dad laughed when I told him I was going to make money with Claude.

“That’s not a real job,” he said.

That was 9 days ago.

Today the balance is $14,920.

All from digital products I never designed myself.

I just wrote one sentence to Claude:

“Build digital products that sell on their own and set up the complete funnel.”

80 minutes later I had:

→ 6 high-converting Notion templates
→ 4 AI prompt packs
→ 1 short high-ticket guide
→ Full sales page + email sequence
→ Stripe + Gumroad ready
Posted once. Went offline.
Woke up to $5,100. By day four: $14,920.
No big following. No design skills. Just Claude creating what people were already looking for.
Most people are still grinding content. I’m letting AI build the assets that print money while I sleep.

You only need Claude + a phone + 1 hour a day.
Full prompt pack + funnel free for 24 hours.

To get it:
Comment “Gift”

Like and Retweet
Follow @eliffxb so I can DM you
Save this. Build your first product this weekend. Start from zero.

[Elif @eliffxb]

i turned $100 into $7,990 in a few days. For about 48 hours, i thought i'd figured it out.

every entry looked perfect. every trade confirmed the last one.

when you're up 79x, your brain starts rewriting the story.

winning trades become "my system".

lucky entries become "my edge".

mistakes disappear completely.

so i rebuilt the entire thing from scratch.

every entry. every exit. every position size. every trade i wanted to forget.

then i asked one question:

would this still work if i started with $100 tomorrow?

the answer wasn't $7,990.

and that's probably the most valuable thing i learned.

a big return doesn't prove you found an edge.

sometimes it only proves you were standing in the right place at the right time.

so i built a simple tracker that:

→ records every trade before entering
→ tracks position size + risk
→ compares results against simply holding
→ shows what happens when you remove the best trades
turning $100 into $7,990 is a great story.
knowing whether you can do it again is the real test.
if you want the tracker:

comment "money"

like + repost

follow @eliffxb so i can DM you

sending these out by hand this week.
educational only. no calls.

[Elif @eliffxb]

@vivaanix Want!!!