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It worked. Gave Claude $20. Left it coding overnight. Woke up to: • finished script • +$95 from first 5 trades Didn’t touch anything. Then I found this wallet: 0xb27b...b82 • $384,858 profit • 13,070 predictions • $18.5K biggest win • Started March 2026 Almost no one is watching...

294,994 次观看 • 10 天前 •via X (Twitter)

41 条评论

Pz Sniper 的头像
Pz Sniper10 天前

Bullshit 😅

Pz Sniper 的头像
Pz Sniper10 天前

Nah thank you

Polash Khan 的头像
Polash Khan9 天前

Thanks for commenting! Make sure you follow me. I’ll DM you the setup within 24 hours.

EMILJAAAA 的头像
EMILJAAAA10 天前

And its bullshit 😂

Bruno 的头像
Bruno10 天前

How can you give Claude money to play with?

Polash Khan 的头像
Polash Khan10 天前

Most people are asking how I made $25 turn into $4,237. The real question is what Claude found that I didn’t.

6vintik9 的头像
6vintik910 天前

Interesting. What exactly is the strategy behind these predictions — arbitrage, probability mispricing, or something else? And how do you verify the wallet’s PnL independently?

Polash Khan 的头像
Polash Khan10 天前

Sounds like you've really got this figured out. It's great to see someone so on top of their game.

Tanmoy Debnath 的头像
Tanmoy Debnath10 天前

DM

Polash Khan 的头像
Polash Khan10 天前

Got you. Follow @polash_ai and I’ll send the guide via DM.

Kaizen 黒 的头像
Kaizen 黒10 天前

Dm

Tech Logic 的头像
Tech Logic10 天前

grate share

C Rypto 的头像
C Rypto10 天前

Thanks!

Amelia Brooks 的头像
Amelia Brooks10 天前

Dm

Simran Kaur 的头像
Simran Kaur10 天前

d

Alex Tech 的头像
Alex Tech10 天前

DM

Jonson 的头像
Jonson10 天前

DM

William Autry jr. 的头像
William Autry jr.10 天前

Sweet

Andrés David bretón 的头像
Andrés David bretón10 天前

Dm

Polash Khan 的头像
Polash Khan10 天前

Got you. Follow @polash_ai and I’ll send the guide via DM.

John Park 的头像
John Park10 天前

DM

Arthurs place K 的头像
Arthurs place K10 天前

@techluisenzo DM

Polash Khan 的头像
Polash Khan10 天前

@techluisenzo Thanks for commenting! Make sure you follow me. I’ll DM you the setup within 24 hours.

Sakhil Khan 的头像
Sakhil Khan10 天前

That's wild how much it made

Luis Enzo 的头像
Luis Enzo10 天前

Dm

Elena Monroe AI 的头像
Elena Monroe AI10 天前

Dm

David Ai 的头像
David Ai10 天前

DM

Arabi AI 的头像
Arabi AI10 天前

DM

momo 的头像
momo10 天前

@The_techAI DM

Hussain Hashim | Building SundayBack 的头像
Hussain Hashim | Building SundayBack10 天前

@polash_ai love seeing it work out! one tweak: if you're scaling this, setting up alerts for anomalies in predictions can save a ton of headaches down the line.

MadeItHappen 的头像
MadeItHappen9 天前

No you didn’t

Polash Khan 的头像
Polash Khan9 天前

Thanks for commenting! Make sure you follow me. I’ll DM you the setup within 24 hours.

SantrexAI 的头像
SantrexAI10 天前

DM

Polash Khan 的头像
Polash Khan10 天前

Saw this and thought of you

Max 的头像
Max10 天前

Dm

Arabi AI 的头像
Arabi AI10 天前

Great

Polash Khan 的头像
Polash Khan10 天前

This is a nice thought

Martin Cairo 的头像
Martin Cairo10 天前

DM

Jara 的头像
Jara10 天前

That's good

Alex 的头像
Alex10 天前

Massive share

DataDrivenTrader 的头像
DataDrivenTrader9 天前

Built my own bot with AI too. Biggest lesson: the backtest looked great, live results after fees and slippage were a different story. Track everything.

相关视频

3 steps story. I gave Claude $40 and it made me $8,409 in a week on Polymarket I typed a prompt. Claude wrote the bot. I funded it. $40 in. $8,409 out. 7 days. Someone else did the same thing and turned it into $294,127 in 26 days. And the prompt I used is something I've never shared publicly. Until now. This bro is a great example of how MY system looks at a scale: Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63 $294,127.72 all-time. 2,226 predictions. $14,800 biggest win. Joined March 2026. 26.9K views. Still mostly unwatched. While I was developing my own script I copytraded this AI to see how profitable this strategy is, made $520 from my $10 lol Copytrade here: And every single position is the same structure. "ETH Up or Down - March 7, 11:45AM" → $1,895 in → $16,695 out +780% "BTC Up or Down - March 21, 11:20PM" → $1,186 in → $11,919 out. +904% This isn't trading. It's one equation running on loop while you sleep. Here's exactly what I typed into Claude: The prompt had 4 instructions: 1. Map temporal bias windows "Analyze 24 months of BTC and ETH hourly data. Find which specific time windows have statistically significant directional bias above 65%. Ignore all other windows." The crowd prices every window as 50/50. They're not. Claude found the ones that aren't. 2. Build Kelly sizing "Size each position using fractional Kelly. Scale conviction to statistical confidence. Never flat-size. " f* = (p × b - q) / b That's why entries look random - $259, $886, $25,002. They're not random. They're mathematically weighted. 3. Add a volatility filter "Skip any window where 24h realized volatility exceeds 1.4x the 30-day average. Patterns break in chaos." The bot doesn't fire blindly. It waits for clean mathematical conditions. 4. Bayesian self-updating "After each settled trade, update win probability for that window. The model sharpens itself." Every loss makes the next trade smarter. Every win increases conviction. Claude wrote the entire execution script in 23 minutes. I funded it with $40. It placed its first trade 4 minutes later. $40 → $8,409. One week. The wallet above ran the same logic for 26 days → $294,127. This wallet had 26.9K views before this post. Tomorrow it'll have 10x that. The people who moved first always win. Always. FOLLOW while this is still a quiet room.

Frogify

19,985 次观看 • 6 个月前

My dad looked at my screen and said what is this, a hacker game? It was a Polymarket bot making $400 while he was standing behind me. He sat down. I explained. Polymarket runs on one equation. Softmax. The same math Claude uses to pick the next word. C(q) = b · ln Σ e^(qi/b) 93% of traders do not know this formula exists. They look at 40 cents and think cheap. My bot looks at 40 cents and calculates the theoretical price is 58 cents. That is an 18-cent edge per share. Two more formulas do the rest: f = (p·b − q) / b. Kelly Criterion. P(H|E) = P(E|H)·P(H) / P(E). Bayes. I gave Claude all 4 and said find every contract the market has wrong. $600 to $10,190. 425 trades. Still running. 61.2% win rate. Wrong 39% of the time. Does not matter. The sizing formula makes sure wins pay more than losses cost. 87% of wallets lose money trading against this math. The 4 formulas are on Wikipedia. The code fits in one file. The only edge: my bot reads them at 3 AM when the market is mispriced and nobody is looking. My dad still calls it a hacker game. But he stopped asking when I am getting a real job. I built the entire framework: Softmax arbitrage detection layer Kelly Criterion position sizing Bayesian probability recalibration Claude integration for autonomous execution 3 AM mispricing scanner The system runs 24/7. Finds where the math disagrees with the crowd. Executes before the edge compresses. No prediction. No gut feel. Just formulas. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the formula system this week. Start with $600. Scale on evidence.

Himanshu Kumar

13,361 次观看 • 3 个月前

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 次观看 • 4 个月前