Printer @Moni_printer

EXTENDED INTERVIEW: Israeli Prime Minister Benjamin Netanyahu speaks with @tonydokoupil about Wednesday's incident aboard a FlyDubai flight to Israel where the co-pilot allegedly stabbed the pilot and tried to crash the plane. cbsn.ws/3U2ZS7U

I got $126,800 for ranking up to Diamond 4! Thank you sir Eddie! 💎

Kazlic @Kazlic

a week ago

Serious question, how much more do I need to wager and what bonus do I get?

33 9 78 73K 2

@StakeEddie @princexsol @Stake You motherf**ker dumb ass bitch, interacting with some scammer promoting fishing websites and some scam Mr.beast token sale lol. I couldn't believe it was your real ID for a minute.

@Stake @mascoobss @evoslotgaming he is really a g*y based on hus voice tho.

I HAD A DREAM I HIT THIS AGAIN LAST NIGHT... is this a sign to try on stream today 🤔 if I hit this for a 3rd time, $10,000 giveaway idec

MOST PEOPLE HAVE NO IDEA HOW THIS QUANT TURNED $340 INTO $1.2M BY TRADING THE PATH TO THE CRISIS, NOT THE CRISIS ITSELF Wallet: [polymarket.com/@0xb55fa1296e6…] The math is two parts. Part one: regime classification - low vol + stable momentum = the market is locked in place. Part two: when it finally breaks, which route through the feature space does it take to get there, and how unlikely was that specific path? A mathematician's work cracked this - not "when does it blow" but "what does the sequence leading into it look like." That sequence is the only tradeable piece. Think of it like weather forecasting. You don't trade the hurricane, you trade the wind shift three days before landfall when the pressure gradient starts tilting wrong. The model outputs regime transition probability with the most likely crisis trajectory attached. Same market conditions, different escape routes, wildly different PnL depending on which path you positioned for. I mapped out the exact feature space transitions, the probability weighting, and how you actually position around the likeliest path in the article attached below.

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Parlex the dev @parlex_exe

2 months ago

x.com/i/article/2081…

4 11 80 176K 224

He promised himself to change his life this summer. And he really did it. This Polymarket wallet was not active for months. But since June, he started making $100k EACH MONTH. Wallet: [polymarket.com/@mo-money?via=…] His secret? > simple arbitrage Study this and article below.

Punisher @0x_Punisher

4 weeks ago

x.com/i/article/2070…

3 4 29 83K 86

x.com/i/article/2070…

15 TRICKS TO LAST LONGER IN BED WITH YOUR WOMAN 1. Master your breathing (This totally helps!)

10 free GitHub repos for trading on Polymarket… Here’s everything you need to automate and make your trading more efficient: 1. The largest Polymarket dataset with over 107GB of real trading data, based on more than 1.1 billion trades. It was analyzed by 5 professors from Shanghai University. GitHub: github.com/SII-WANGZJ/Pol… 2. A backtesting simulator that lets you test your own ideas and strategies on real historical markets. It simulates your trades and shows your potential pnl, win rate and all possible risks. GitHub: github.com/evan-kolberg/p… 3. This bot can automatically manage all your limit orders on Polymarket to maximize liquidity rewards. GitHub: github.com/lihanyu81/poly… 4. A tool for analyzing the trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and how you could adapt them to your own trading. GitHub: github.com/ent0n29/polybot 5. A trading toolkit that includes copy trading, arbitrage, market making, whale alerts, spread farming, sports trading and more. GitHub: github.com/HarrierOnChain… 6. A bot with 118+ ready to use strategies for prediction markets (arbitrage between Polymarket and Kalshi, Binance-Polymarket latency, Mean Reversion, Penny Clipper and more). GitHub: github.com/alsk1992/Clodd… 7. An AI powered trading terminal that connects Claude directly to Polymarket. It can analyze markets in real time, track prices, suggest possible trades and even trade for you. GitHub: github.com/caiovicentino/… 8. A weather bot that scans multiple sources like weather forecasts, airport data and aviation observations (METAR) to collect the latest temperature data and generate a detailed weather report for a selected city and day. GitHub: github.com/yangyuan-zhen/… 9. A repo for building your own AI agents. GitHub: github.com/pydantic/pydan… 10. A huge collection of more than 100 useful tools and services for prediction markets (from analytics dashboards to educational resources). GitHub: github.com/aarora4/Awesom… All of these repos come with detailed step by step setup and usage guides in English.

You will 𝗡𝗘𝗩𝗘𝗥 find better 𝗪𝗜𝗡 𝗥𝗔𝗧𝗘 on Polymarket! This user isn’t a trader. It’s a bot that turned $313 into $414k in one month. 𝗛𝗶𝘀 𝘀𝗲𝗰𝗿𝗲𝘁? He's running one simple strategy. No narratives. No adjustments. Same loop thousands of times. 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀: > Trades $BTC / $ETH / $SOL 15-minute Up/Down markets only > Over 6,300 bets since early December > 98% win rate > $4-5k bet every time His edge isn’t prediction, but timing. The bot watches spot $BTC on Binance + Coinbase. When price momentum is already confirmed there, Polymarket is still pricing the previous state for a short window. That lag is the trade. 𝗜𝘁 𝗲𝗻𝘁𝗲𝗿𝘀 𝗼𝗻𝗹𝘆 𝗱𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗴𝗮𝗽: When real probability is already ~85% But Polymarket still offers 50/50 pricing. So it’s not guessing direction. It’s buying mispriced certainty. 𝗪𝗵𝘆 𝘁𝗵𝗲 𝗣𝗻𝗟 𝗰𝘂𝗿𝘃𝗲 𝗶𝘀 𝗮𝗹𝗺𝗼𝘀𝘁 𝗹𝗶𝗻𝗲𝗮𝗿: > Thousands of identical micro windows > Wins capped, but repeated > Losses diluted by frequency > Variance crushed by repetition 𝗛𝘂𝗺𝗮𝗻𝘀 𝘄𝗼𝘂𝗹𝗱’𝘃𝗲: > sized up > tweaked rules > chased higher ROI The bot didn’t. Same size & same logic every time. This is temporal arbitrage. While CT argues about catalysts, this script just waits 30 seconds and harvests math. Added the wallet to my watchlist. 𝗛𝗶𝘀 𝗽𝗿𝗼𝗳𝗶𝗹𝗲: polymarket.com/@0x8dxd?via=de…

how to get web3 jobs + secrets to actually land them fast step 1: I realized many people don’t know where to find web3 jobs, so I complied a list - crypto careers - crypto-careers.com - web3 career - web3.career - crypto currency jobs - cryptocurrencyjobs.co - crypto jobs list - cryptojobslist.com - be in crypto - beincrypto.com/jobs/ - job stash - jobstash.xyz/jobs - remote 3 - remote3.co - midnight careers - midnight.network/careers - dragonfly jobs - jobs.dragonfly.xyz/jobs - block careers - block.xyz/careers/jobs - solana jobs - jobs.solana.com/jobs - avax jobs - jobs.avax.network/jobs - ethereum jobs - ethereumjobboard.com/jobs contests/bounty sites - - super team - earn.superteam.fun/all/?tab=bount… - scribble dao - scribble.network/?referrer=64bb… - wizz hq - wizzhq.xyz - first dollar - app.firstdollar.money - rova - rova.xyz/?referral=8H9Y… there are other sites, you just need to search now let’s talk about how to actually get the job fast having the right skill set and knowing where to apply is one part of the puzzle but getting the gig is another step 2: practical steps to get a web3 job (secret) -> cold DMs: this is the art of sending your proposal directly to your potential employer when you find companies that are hiring, don’t stop at applying through the job boards this is why many people never land a job, because they get many applications each day and sometimes really on bots to filter -> Do this: search for the project on X, identify their teams members, follow them, join their discord (if any), start pitching yourself strategically identify their problem and propose a solution you can provide make it short, don’t write a wall of text, writing some catchy first few lines will ensure your dm doesn’t get ignored your cold DMs should be focused on getting their attention to respond, you can do this by letting them know you understand what they need points out the problem > then propose a solution always aim for brief, short and concise writing keep it as short as 3 paragraphs, this is the magic number that has proven to work best for me step 3: POW - proof of work build a professional resume for yourself, this will help you stand out and showcase your skills use Canva or Claude to generate a good looking resume convert your resume to a portfolio website using AI and add the link on your bio to make it easy for potential employers your X profile is also your biggest POW, share what you’re doing, your work, clients testimonials, add them to your highlight be your biggest shiller - close mouths don’t get feed step 4: Mindset landing a web3 job is a numbers game, the more you apply, the higher your chances of success do quite after applying for a short period, some people takes days before checking their DMs if you want to get results, you must be persistent, remember you’re not the only one if you send only 10 cold DMs a day x7 (one week) = 70 x30 (one month) = 300 it will be close to impossible to apply to 300 just and not receive feedbacks good luck

Scribbler @Defi_Scribbler

8 months ago

are you still making money from grinding airdrops or do you need a job?

323 11 883 747K 39

x.com/i/article/2080…

The simplest arb bot on Claude Opus 5 made +$1,847 PnL in one day. And it used just one strategy: Buying YES + NO < $1 price gaps. I publicly deposited just $100 on a fully new wallet 24h our ago. Results are shocking, you can verify on chain. I thought my BTC arbitrage bot was already fast. But Claude Opus 5 proved me wrong. The strategy never changed. Buying whenever YES + NO < $1 is the simplest thing your bot can do. If both sides of a BTC Up/Down market cost less than $1 combined, the math is already on your side. The bottleneck wasn't finding those opportunities. It was everything that happened between finding them and clicking Buy. I asked Opus 5 to review the code like a performance engineer instead of a developer. It immediately found things I had stopped noticing: > Market metadata being rebuilt every loop > API requests waiting on each other > Orders being created only after spread appeared > Functions doing work they didn't need to do None of those changes made the strategy smarter. They made it faster. Now the bot keeps market metadata cached in memory. Orders are prepared before the opportunity exists. Multiple markets are scanned concurrently instead of one by one. When YES + NO finally drops below $1, the bot isn't thinking anymore. It's simply executing. That's probably the biggest lesson I've learned building arbitrage bots. Most developers ask Claude: "Can you build me a trading strategy?" But here's momething no one will tell you... Much better prompt is: "Pretend you're a low-latency engineer and find every millisecond I'm wasting" That prompt improved my bot more than any new trading idea I've tried. You can try it today but make sure to add my arb guides into a memory of your new project. This will help claude undertsand the concept and fail less. Thank me later, next update on Wednesday space as always.

Oracle Boar @bored2boar

2 months ago

x.com/i/article/2068…

4 8 76 213K 210

Aquí tienes 10 señales de que eres pésimo/a en la cama (y cómo solucionarlo) (La mayoría de los hombres se dan cuenta demasiado tarde) 1. Te saltas los besos

My dad called Claude a toy for people who can't trade. He's been trading for 20 years. I didn't argue. I just turned the monitor toward him. He read the results twice. That can't be right. 27 days. $200 → $25,400. 74% win rate. Sharpe 2.47. While 92% of traders lose money, a tiny fraction quietly extracts millions. Then I showed him why. 86M+ Polymarket trades analyzed. Every wallet. Every entry. Every exit. One Claude prompt: Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit. 14,000 wallets scanned. 47 elite wallets found. The top 20 earned more than the other 13,000 combined. He looked at me and said: That's not data. That's a treasure map. But that wasn't the real edge. Three independent AI agents vote on every trade. ✅ 2 agree → Full position ⚠️ 1 agrees → Half position ❌ No consensus → No trade That one rule eliminated nearly 40% of losing trades. Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices. One wallet grew $35K into $442K. 73 live dashboards handle everything: → Whale tracking → Insider detection → Wallet clustering → Signal scoring → Arbitrage opportunities → Smart money monitoring No emotions. No guessing. Just data and execution. Then he asked: How much does this cost? About $25/month. Silence. I've been paying analysts six figures to do half of this. The crazy part? The tools are public. Most people still think AI is just for writing emails. Meanwhile, others are quietly using it to build an edge. 🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this. Like + Repost + Comment "Claude" and I'll DM it to you. Make sure to follow me @codewithimanshu ( so i can send you DM)

This guy’s trading bot uses $4 sized buys and has already made $136,000 on Polymarket His bot trades short-term crypto Up/Down markets and combines late-resolution sniping, grid accumulation, and partial complete-set arbitrage His strategy has 5 parts: 1. At the start of each market, it records the asset price and constantly pulls real-time data from external sources 2. Then it evaluates price direction, volatility, time remaining, and liquidity on Polymarket 3. Based on that, it calculates its own probability for the Up or Down outcome 4. It buys the undervalued outcome when it sees a mispricing, then builds the opposite side if Up + Down is below $1 5. Before the market ends, it increases one side if that side becomes the clear favorite This guy’s Polymarket account: polymarket.com/@pspspsps5?via… Using this strategy and clean execution, he captures a consistent edge and repeats it thousands of times, growing his capital

Daniro @Dan1ro0

3 months ago

x.com/i/article/2076…

10 11 134 593K 359

This account is right less than half the time. It has still made $60,325 since June I pulled all 427 trades to find the trick 190 wins, 237 losses, spread across 22 separate days: [polymarket.com/profile/0x960b…] Being right is not the point here. Being right big enough is This is not one hot week that got lucky. It goes back a month, loss after win after loss, and it is still going right now Average win $778. Average loss $369. Every win is worth more than two losses combined A win lands less than half the time. When it lands, it pays for the ones that did not. That is the entire strategy Its most recent trade landed within the hour, while I was still counting This account is not right more than it is wrong. It is just wrong cheaply and right expensively Would you keep opening a position that fails more often than it works, if you knew exactly by how much?

READ THIS OR LOSE THOUSANDS ON BOT'S DAY ONE Your code is perfect and your bot won't place ONE order. No useful error. Balance looks fine. Nothing fills. You'll burn your entire first day on this... Unless someone tells you about the 2 silent killers first: Both of these let your bot run with zero errors that actually explain anything. It just sits there doing nothing while you lose your mind reading logic that was never the problem. > Killer 1 - funder address trap Your Polymarket trading address is NOT your MetaMask wallet. It's a separate proxy, your funder, and you find it in your Polymarket settings. Your USDC has to sit in THAT address, not your main wallet. AI gets this wrong almost every time, it wires up your MetaMask address and everything silently fails. Same trap with the private key - it has to belong to the wallet that OWNS the proxy, not the proxy itself. > Killer 2 - USDC allowance This one gets people even after the address is right. Having USDC in the correct address is NOT enough. The exchange contract needs your approval to actually spend it. No allowance set, no order fills, full stop, even with money sitting right there. So you send one approval transaction to the exchange contract, and you WAIT for it to confirm on chain before you trade. Don't fire the same second, the approval isn't live yet. One more thing that bites here. Your balance check can return stale cached data, so your bot thinks it's funded, tries to trade, and fails, cause it's reading an old number. Don't cache the balance, pull it fresh. I lost whole days to both of these when i started, so learn it the easy way. The bot that finally got past them is publicly sitting at $200k PnL. Before you debug your strategy, check these two. Right address, real allowance. That's almost always the whole problem. Next post i walk through the full first-run setup so your bot places its first order clean. Attaching a full bot build article below + my public wallet inside.

12 Free GitHub repos for Trading on Polymarket… Here is everything you need to automate and make your trading easier (from Beginner Friendly Tools to Advanced Trading Bots): > Analytics Tools 1. This is the largest dataset with over 107GB of real Polymarket trading data, based on more than 1.1 billion trades. Collected and analyzed by 5 professors from Shanghai University. GitHub: github.com/SII-WANGZJ/Pol… 2. This simulator lets you test your own trading ideas and strategies on real historical markets to see your potential Pnl, win rate and all possible risks. GitHub: github.com/evan-kolberg/p… 3. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and how to adapt them to your own trading. GitHub: github.com/ent0n29/polybot 4. A tool that lets you pull all historical data for any market that has ever existed (with detailed statistics and charts). GitHub: github.com/warproxxx/poly… > Trading Bots 1. This bot comes with 118 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, DCA bots, Mean Reversion and more). GitHub: github.com/alsk1992/Clodd… 2. This tool can automatically manage all your limit orders on Polymarket to maximize liquidity rewards. GitHub: github.com/lihanyu81/poly… 3. This bot-toolkit includes Polymarket-Kalshi arbitrage, sports trading, copy trading, spread farming, market making and more. GitHub: github.com/HarrierOnChain… 4. A weather trading bot that analyzes multiple sources in real time (weather forecasts, public airport data and aviation observations, like METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a selected city and day. GitHub: github.com/yangyuan-zhen/… 5. A trading bot with a Smart Money strategy - it searches for top traders in selected markets, filters them by win rate and then creates a list for automated copy trading. GitHub: github.com/MrFadiAi/Polym… > Some Useful Extra Tools 1. A tool for building your own AI agents and giving them any complex tasks. GitHub: github.com/pydantic/pydan… 2. This tool analyzes what happened on the web over the last 30 days and finds useful patterns + connections around a specific topic. Very useful before trading. GitHub: github.com/mvanhorn/last3… 3. This is a huge public collection of 100 useful tools and services for prediction markets (from analytics dashboards and AI agents to trading bots and educational resources). GitHub: github.com/aarora4/Awesom… All of these repos are free and come with step by step setup and usage guides in English.

Recogard @recogard

3 months ago

x.com/i/article/2073…

11 31 197 485K 477