MR11

Truth Warrior. Cybersecurity, AI, Quantum Computing.

[cvxv666 @antpalkin]

every trading bro realizing he spent six years to draw trendlines for nothing because some free AI agent just ran 980 trading ideas and find only one that makes money

[cvxv666 @antpalkin]

Trading without AI in 2026? You're done. Purely on the math, before anyone even out-trades you.

You are not up against other people anymore. 75% of US stock volume runs through machines.

Jane Street put $6 billion and 4,032 GPUs behind agents that write trading strategies, test them and kill them all night.

Man Group's AI turns out hundreds of new signals a week where its human desk used to manage about 20 a quarter.

You're on the other side of that with a chart and a feeling.

89% of retail traders lost money last year.

The gap was never brains. Testing one idea properly costs a desk about $87,500 in salary time or massive computing power for AI.

You don't have any of those things.

That part is over. You have your own AI trading agent now, built by a team backed by Entrée Capital and hedge fund managers, and trying it costs nothing: https://t.co/qMCIUPWiwi

No code, no desk, no excuses left. What it does with one English sentence:

> compiles your idea into entry, exit, sizing and risk rules
> backtests 5 years of data in about 12 seconds, 1-minute bars in 47
> scores it 0 to 100 on Sharpe, Sortino, profit factor and max drawdown
> kills anything with a half-life under 10 days no matter how pretty the curve looks
> runs walk-forward and Monte Carlo on whatever survives, then years of data it has never seen
> puts it live on your exchange in about 90 seconds and keeps running while you sleep

Same machine the funds run, minus the hiring, the salaries and the three-week wait. 4,800+ traders are already inside.

Save this and put one idea through it tonight after read full breakdown below. You'll know in 12 seconds what three weeks of hoping never told you.

[Atlas @crptAtlas]

Goldman Sachs made $14.28 billion in net profit last year

A researcher just published exactly how they run AI across every trading desk

The document maps the same signal combination logic I broke down in the article below

How Goldman traders stop being right about direction and start being right about size and timing

Read the document

Then read the article

[Recogard @recogard]

A computer science student from the University of Singapore built the largest prediction markets dataset and released it completely for free…

This dataset automatically updates every hour with fresh market data.

Here’s how you can use it for your trading on Polymarket:

This data helps you understand how prediction markets actually behave and how prices typically move.

For example, you can analyze and compare markets within the same category and look for patterns that repeat over time…

Lets imagine, after analyzing this dataset, you discover that most economic markets are less volatile and often have a clear winner right from the beginning - BOOM, now this becomes your own proven working strategy.

This way you can create hundreds of different time tested ideas and strategies based on real historical data.

This dataset: https://t.co/plApOjR6OQ

[Atlas @crptAtlas]

JP Morgan headhunted a trader for $500K/year after he predicted Lehman Brothers' collapse under $600B in debt

Goldman hired the same guy at 20 and gave him $100M to manage in his first week

27 minutes. He explains exactly what strategies he runs

The core answer: he never relies on one signal

He combines weak views into a single high-conviction position - exactly the framework I broke down in the article below.

Watch the video

Then read the article below and you'll understand exactly how he was thinking

[PS @psanix]

After manipulating a thermometer at a French airport
The next day, another trader made 1900%

He bet $1944 that the temperature would be above 19 degrees Celsius
And won $36,947

He changed the description to his polymarket account
And wrote

"I have not engaged in any market manipulation. My peak profit date does not coincide with the alleged manipulation date at the Paris airport. Irresponsible media coverage has caused me harm."

The same airport
Similar bets

This airport has some mystery because every day certain people
Earn $30k for one deal

Here is a link to his account
https://t.co/IkkWbs54Xk

What is most interesting is that his PNL chart is growing perfectly
He has losses but over the long haul he is constantly making money
Look at his account and you can try to copy his deals

[Crypto Jargon @Crypto_Jargon]

ANTHROPIC JUST DROPPED A PREDICTION MARKET TRADING BOT STRUCTURE 🤯

68.4% WIN RATE.

$300–$1,500 PER DAY.

[MR11 @MRay2807]

@antpalkin Wow thanks for the post

[cvxv666 @antpalkin]

Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof.

He knows exactly where price will go.

More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub)

AI analyzed every single moment in that trading history.

Now this guy has a fully functional SPX price prediction system.

His wallet: https://t.co/WNi8gbBgQJ

Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets.

Here’s exactly what you need to replicate his stack:

- market data APIs (SPX price, use Alpha Vantage or Quandl)
- data pipeline (use Python)
- feature engineering (for output signals like RSI, MACD)
- seed dataset for MiroFish (convert data into structured context)
- multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.)
- probability forecast (run different scenarios)
- trading / decision Model (SPX futures ES, SPY ETF)

Save this pipeline if you want to run a similar simulation on your own data.

You can feed the whole thing to your Claude and build your first (even small) simulation model together.

[MR11 @MRay2807]

@renzosalpha Thanks for the call out

[RENZO ⚡️ @renzosalpha]

Welp we smashed through the targets easily

$Bull is too fkn bullish

$10M next…

3TYgKwkE2Y3rxdw9osLRSpxpXmSC1C1oo19W9KHspump

[MR11 @MRay2807]

@kepochnik Thanks so much for the share

[kepo @kepochnik]

10 GitHub repo for trading on Polymarket

all of this is free and can help automate your trading

1. prediction-market-backtesting: https://t.co/UnH54KVx9a
backtest trading strategies on real Polymarket and Kalshi data

2. TradingAgents: https://t.co/Lm60e1pdzf
lets you build a complete trading system

3. /last30days: https://t.co/95fwPARvZH
analyzes news from the past 30 days

4. Assistant Tool: https://t.co/AAg4OnT3yF
indicators that show where the market is heading

5. Firecrawl: https://t.co/xre9w58lyr
turns any website into clean data

6. Pydantic AI: https://t.co/FoqInIkY4U
agent framework for building production bots

7. n8n: https://t.co/2ACIwCnW3N
news analysis and filtering

8. Tavily MCP Server: https://t.co/KdQ9YaqK2J
search built

9. Collector & Analyzer: https://t.co/HqUhGJBzmP
collects the full trade history of any wallet

10. Binance Collector: https://t.co/AJzAqWwz0o
predicts market direction and calculates fair value

completely free

[MR11 @MRay2807]

@codewithimanshu Polymarket

[Himanshu Kumar @codewithimanshu]

$1.18 → $3,300,000. 1 Claude Bot. 37,063 Trades. 71% Win Rate.

Chinese engineers wrote a script.
Fully automated through Claude.

Biggest single win: $180,000.
It's a bot that reacts faster than you can blink.

I've made the exact step-by-step guide to write your own Polymarket trading bot using Claude.

Free for 24 hours. To get it:

1. Comment "polymarket"
2. Like and Retweet
3. Follow me @codewithimanshu (so i can DM you)

One of my followers wrote their own bot after reading my guide.
$500 profit in first 3 days. Proof in the comments.

This how it actually works:

The bot tracks 1000s of sports markets on Polymarket and Kalshi simultaneously. Finds discrepancies between platforms. Enters positions faster than any human can physically react.

3 strategies running at once:

> Pairs Trading: YES on Rockets costs $0.62. NO on the same match costs $0.41. Total = $1.03, not $1.00. That's 3% risk-free profit. Bot enters within milliseconds.

> Sentiment AI: Scans Twitter/X and news in real time. Coach gets injured and 50 accounts report it? Bot recalculates probability within 2 seconds. Before the market factors it in.

> Calendar + Volatility: 15-20 minutes before game starts, volatility spikes. Bot takes positions early. Closes after the first major price movement.

Why sports markets?

Over/Under contracts should total $1.00. But due to different trader reaction speeds, deviations constantly occur. Most predictable arbitrage on the entire platform. That's how this Trading Bot built $3.3M.

Why a human can't do this?

You can't monitor 50+ markets simultaneously.
You can't react in milliseconds.
You can't stay awake 24/7.
You can't avoid emotions after a losing streak.
You can't calculate Z-scores over 60 bars in real time.

The bot does all of this in parallel. Without breaks.

By the time you open a tab, the arbitrage window already closed.

Manual trading is dead. The era of automation is here.

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

[Frogify @0xFrogify]

It worked.

I gave Claude $20, left it coding through the night

Woke up to a finished script and +$95 in first 5 trades

I didn't touch it once. Not even to check.

Someone else ran the same logic for 30 days and turned it into $384,858.

I've never thought I'd share this strategy publicly, but here we are:

Profile → 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82

$384,858.90 all-time.
13,070 predictions.
$18,500 biggest win.

Joined March 2026.
5.7K views.

Basically almost nobody watching this yet...

While building my script I copytraded this wallet to stress-test the math.

I started doing these stress-tests with $80 didn't even thought I could make decent money but ended up having $4,218 over the past few weeks

I copytrade all my wallet findings here:
https://t.co/JfdQQ3n0IU

Every single position identical in structure
Not trading. One equation. Running while you sleep.

"BTC Up or Down - March 26, 2:35AM" → $17,839 in → $36,318 out. +103%

"BTC Up or Down - March 20, 9:35AM" → $3,112 in → $15,011 out. +382%

"BTC Up or Down - March 24, 10:20AM" → $10,676 in → $22,178 out. +107%

Here's the exact prompt I typed into Claude:

1. Map temporal bias windows "Analyze 24 months of BTC hourly data. Find windows with directional bias above 65%. Ignore everything else." Polymarket prices every window as 50/50. They're not. Claude finds the ones that aren't.

2. Kelly sizing"Size every position using fractional Kelly. Scale to statistical confidence. Never flat-size." f* = (p × b - q) / b$3,112 one trade. $17,839 the next. Not random - mathematically weighted conviction.

3. Volatility filter"Skip any window where 24h realized volatility exceeds 1.4x the 30-day average." The bot doesn't fire in chaos. It waits for clean conditions.
Then it hits.

4. Bayesian self-updating"After each settled trade, update win probability for that window. Sharpen continuously." Every loss makes the next trade smarter. The formula compounds intelligence, not just capital.

Claude wrote the full script while I slept.
Woke up, funded it with $20.
First trade fired 4 minutes later.

-

You found this before 99% of people did. That window doesn't stay open.

Follow me. I find these before they go viral.

[0xMarioNawfal @RoundtableSpace]

USE THESE GITHUB REPOS TO UPGRADE YOUR POLYMARKET TRADING GAME

* PMXT
https://t.co/LOVYIITKYM

* POLYMARKET AGENTS
https://t.co/8SQR0xJOa7

* FAST MCP
https://t.co/Dqc7YJsT6O

* MCP
https://t.co/euPIZPr6X3

* POLYREC
https://t.co/5tn8e3pP4L

[Polymarket Analytics @poly_data]

This Polymarket wallet has a 100% win rate on the Bitcoin 5M markets

> 92.5% win rate overall
> $310,334 PnL
> 16,000+ predictions

What do they know?

[MR11 @MRay2807]

@fluffycrypt Truths