PinealSpirit

@MarioNawfal Do they look Chinese to you?

🇺🇸🇨🇳 In 2015, a Chinese construction firm erected a 57-story skyscraper in 19 days. Safe to assume they weren’t given time for back massages… but looks nice 😂

@RoundtableSpace Wrong! Claude has a safety feature that alarms when you asks it financial advice and how to make money!! Mario nawfal lying again

A 36 YEAR OLD MOM OF 3 ASKED CLAUDE HOW TO MAKE MONEY WITH NO FREE TIME AND ENDED UP BUILDING A SHOPIFY STORE MAKING OVER $15K/MONTH

THIS TOOL AUTOMATICALLY ROTATES YOUR IP EVERY 10 SECONDS SO YOU NEVER GET STUCK BEHIND RATE LIMITS

@codewithimanshu Such a shit clickbait

I lost my job yesterday. Rent was due. No backup plan. Then I remembered I still had Claude. Claude scanned 10,000 Polymarket wallets while I slept. Built an autonomous agent that trades 24/7. 94 trades. Zero input. Pure edge. I'm giving away the exact setup free for 24 hours. To get it: 1. Comment 'CLAUDE' 2. Like and Retweet this post 3. Follow @codewithimanshu (so I can DM you) You only need Claude + laptop + 1 hour to deploy. What it does: → Analyzes top Polymarket wallets from last 90 days → Cross-references win rates, position sizing, entry timing → Isolates 7 traders whose edge is repeatable → Builds agent that reads live news and maps to markets → Detects mispricing across outcomes → Exploits arbitrage windows → Sizes every position using Kelly criterion Not a script. Not an if-then bot. An agent that processes information asymmetry at machine speed. I deployed it at 11:47 PM. Closed the laptop. Woke up to $4,237 from $25 seed capital. Wall Street pays millions for this infrastructure. You pay $20/month for Claude. The opportunity window: → Polymarket still has inefficient pricing → Most retail traders react to news manually → AI agents exploit the 15-180 second lag → Window closes when everyone runs similar systems This edge exists right now. It won't in 12 months. Save this post. Deploy the agent this weekend. Start with $25. Scale on evidence. You Must Follow me @codewithimanshu so I can send you the setup guide in DM.

A Carnegie Mellon student launched a Markov Chain model that reads the structure beneath the price and made $67,000 in three weeks on Polymarket. In his applied mathematics classes he studied Markov Chains - the same model physicists used to simulate neutrons in nuclear reactors. The same model describes how prices move on prediction markets. He wrote a Python script. > Takes 60 days of contract price history. > Builds a transition matrix - a map of how the price actually moves between states. > Runs 10,000 simulations in a tenth of a second. > Calibrates the result against data from 72.1 million real trades. The output is an exact probability and position size. No gut feeling. His first test day brought $3,400. A week later he improved the result and hit $17,000. His balance has now reached $67,000. full guide on how to build the same model - in the article below.

This bot turned -$5,700 into +$150,000 in just over a month on 5-minute markets! Account: polymarket.com/0x9f5ffe76a818… April 6: -$5,700. Now: +$150,000. Best trades: $92 -> $1,960 $1,316 -> $3,916 $2,109 -> $5,082 The bot spent a month in the red, but after changing strategy everything flipped. Now it makes +$3,000/day! Strategies: > buys both outcomes during high volatility > small-sized single trades It doesn’t always manage to build an Up + Down <$1 arbitrage setup. So near expiration, it increases size on the more likely outcome. It also buys small single positions using different indicators. This bot wins through trade quantity, not trade quality. It trades all 5-minute markets: BTC, ETH, SOL, XRP, HYPE, BNB, DOGE. Smart Kelly sizing keeps risks under control. Two months ago, arbitrage bots were everywhere. But after Polymarket updates and new fees, fewer survive. Only the smartest bots survive.

Ex-Citibank quant trader built Polymarket bot and turned $1.2K → $797K using one secret I traced his 43,495 trades using Opus 4.7 → backtested his strategy on 72M trades dataset The bot runs Markov Chains on price state sequences to find entry points the crowd can't see most traders see "95¢" and feel something. too cheap, too rich, about right. that feeling becomes a click It sees a price that has spent the last N windows bouncing between states - and calculates the transition probability to the next one the strategy in plain terms: • DOWN at 94–98¢ + UP at 3–5¢ on the same window → combined < $1.00 → guaranteed arb on the gap • Markov state model flags when UP at 3¢ has >40% transition probability to resolve - bot sizes in • BTC Up 3.4¢ → now 7.5¢ → +120% in one window • runs both directions simultaneously across BTC and ETH Profile: @bonereaper?r=joinjoinjoin" target="_blank" rel="nofollow noopener">polymarket.com/@bonereaper?r=…

An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen. I was sitting at Sightglass running my Polymarket bot. He looked over once. Then again. Then said: “That’s not a normal trading setup.” I told him the whole thing runs on: • Claude Code • 4 open-source repos • $25/month That’s it. He pulled up a chair instantly. “I work on the agent team at Anthropic,” he said. “We stress test Claude for workflows exactly like this.” Then I showed him what the bot was actually doing. 86 MILLION trades analyzed. Every wallet. Every entry. Every exit. Every profitable pattern. One prompt: “Find wallets with 100+ trades and 70%+ win rate. Rank by profit. Export the best ones.” Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 wallets made more money than the other 13,000 combined. He stared at the results and said: “That’s not data analysis. That’s a weapon.” And we were just getting started. Second repo: A Rust CLI scraping 500 live Polymarket markets in minutes. Claude filtered everything automatically: • spread gaps • liquidity depth • timing windows • whale behavior 500 markets became 35. Before I even looked at them. 93% rejected automatically. Then a trade closed live on my screen. +$84. He didn’t even blink. “How does it decide when to enter?” 3 independent AI agents: • arbitrage • convergence • whale-copying No shared memory. 2 agents agree = full position 1 agrees = half size Disagreement = no trade That consensus system alone cut 40% of losing trades. Then he asked the real question: “What about exits?” That’s where it gets stupid. The profitable whales rarely hold to settlement. 91% exit early. So my bot exits BEFORE they do. It takes profit at: • 85% expected move or • unusual volume spikes Basically: It copies smart money… then front-runs their exits. He just sat there staring at the terminal. “How much did you start with?” $200. 27 days ago. Current balance: $14,300. 271 trades. 74% win rate. Sharpe ratio: 2.47. Fully automated. I haven’t touched it in weeks. Before leaving he said: “This is almost identical to the internal scenarios our red team simulates.” Next morning I got an email from him. “Would you be open to speaking with our policy team?” I replied: “The article IS the meeting.” The craziest part? This stack costs less than Netflix. AI is no longer replacing workers. It’s replacing entire hedge funds. Comment “Claude” if you want the framework.

@SimslearnAi 20$ claide subscription? A system Like this needs api and its forbitten claude api to abuse- you need the anthropic credits to run it

This trader pulled in over $49,000 profit in just 2 weeks 🤯 Started with: • $500 capital • 1 device • $20 Claude subscription • No guessing. No emotions. Just automated BTC spot vs Polymarket arbitrage running 24/7. I spent 10+ hours breaking down the full strategy step-by-step. If you want the full setup free for the next 24 hours👇 t.me/KreoPolyBot?st… 1️⃣ Comment your thoughts 2️⃣ Like + Retweet 3️⃣ Follow @SimslearnAi

🚨 YOUR BOT IS TRADING ON GARBAGE DATA And you don't even know it. This is the main reason why your Polymarket bot doesn't print. Dirty websockets feeding stale prices into logic that was built to handle clean ones. This single problem kills more profitable-looking strategies than anything else. Here is the full 6-layer system that fixes it permanently: Layer 1 is about starting early and filtering bad connections before they cost you. Begin every websocket connection 15 seconds before the trading window opens. Monitor the final 5 seconds. You need at least 3 ticks per token with no single jump above 5 cents. Fail that check and skip the window entirely. Trading on a degraded connection is worse than not trading at all. Layer 2 is about volume and redundancy. Never run one connection. Run 100 to 300 parallel websockets per feed simultaneously. Every 4 seconds kill the slowest 10% and respawn them fresh. Your bot always takes the first deduplicated tick from whichever socket delivers it first. More connections means faster data and lower probability of missing a critical tick. Look at my bot as example: [@0x951bd740ef681d05891ca35440232488271d433?via=bored2boar" target="_blank" rel="nofollow noopener">polymarket.com/@0x951bd740ef6…] Layer 3 guards against stale data sneaking through. Compare every incoming tick against the last known price from your warmup period. Any tick with a price delta above 15 cents gets rejected immediately and logged. Stale ticks entering your decision logic silently turn winning trades into losing ones. Layer 4 is simple but critical. Drop the very first tick from every new connection without exception. It is almost always Polymarket's cached orderbook snapshot from before the current window. Acting on it means entering trades based on prices that no longer exist. Layer 5 prevents all your connections from seeing the same data. Never start all websockets at the exact same millisecond. Stagger them evenly across a full second. Each connection gets a better shot at receiving genuinely unique market data. Layer 6 is about keeping only your best connections alive continuously. Track timing variance per connection using a jitter EMA score. Cull the most erratic connections first during each cycle. New connections get 8 seconds to stabilize before they are eligible for culling. Maximum 20 respawns per minute. Maximum 2 per cycle. Running all 6 layers transforms dirty real-time data into something clean enough to actually trade on. Strategies that looked broken often start working again without touching a single line of signal logic. The data was the problem the whole time.

A guy is making $500 a day posting AI baby videos on YouTube. He scrolls YouTube Kids, finds whatever baby video is getting the most traction that week, and that's his research done. Drops the concept into Claude. Gets back a full creative direction character description, movement style, mood, everything. Takes that output straight into Kling 3.0. One prompt. One click. A smooth, bright, perfectly animated baby video renders in minutes. No downloading. No editing timeline. No software to learn. Posts it to YouTube. Algorithm picks it up. Parents put it on for their kids. Kids watch it four times in a row. Watch time spikes. YouTube pushes it harder. The loop runs itself. $500 a day from videos that take him 20 minutes to make. He never appears on screen. Never records anything. Never leaves the apps. Just YouTube for research, Claude for the creative, Kling 3.0 for the visuals, and a upload button. Four steps. Twenty minutes. $500. Save this before every parent with a phone figures out the same thing.

Everyone thinks AI will replace jobs. Most people still don’t realize it’s already replacing entire trading teams. I stopped trying to “outtrade” the bots. Now I just track the wallets printing money and let AI do the detective work. Built an AI agent with Claude that: • Scans mispriced Polymarket opportunities • Tracks arbitrage wallet behavior • Monitors size, timing & execution patterns • Filters out gamblers and identifies consistent profit wallets • Auto-feeds copytrading setups into a TG bot Started with $2K. Hit $12K overnight. Currently monitoring 1,000+ wallets. Only actively copytrading 7. No emotions. No revenge trading. No guessing. Just math, data, and execution. The craziest part? You don’t need to code anymore. You need systems. Access it here: t.me/KreoPolyBot?st… Free for the next 24 hours. Comment your thoughts Like & Repost Follow me @SimslearnAi for updates.

20 SITES TO GET A REMOTE JOB THAT PAYS IN USD 1. justremote.co 2. angel.co 3. workingnomads.com/jobs 4. remote.com 5. odeskwork.com 6. jobboardsearch.com 7. jsremotely.com 8. remote.co 9. remoteok.com 10. himalayas.app 11. weworkremotely.com 12. flexjobs.com 13. fiverr.com 14. upwork.com 15. freelancewriting.com 16. freelancer.in 17. in.indeed.com 18. outsourcey.com 19. problogger.com 20. linkedin.com Follow me @KhusbooT14835 for more AI IDEA.

A self-taught Quant just published the exact technique that separates real trading edge from data mining - permutation tests on backtested strategies in Python. Quant Twitter quietly knows about him. Quants juniors send each other his videos in DMs. Bookmark it tonight before the algorithm pushes him mainstream. Then read the article, I built the AI quant system that runs thousands of these tests per week.

@IRGC_IRAN_News Hiroshima and naga was a plane not a u-boat

🚨 JUST IN 🇺🇸🇮🇷🇪🇸🔥 A giant U.S. nuclear submarine heading toward the Middle East was reportedly spotted near the Strait of Gibraltar for the first time since Hiroshima and Nagasaki. 🇮🇷In response to this move, Iran warned the U.S. that if the warship crosses its red line, it could face a missile strike.

HOW DOES THIS QUANT BOT PRINT $8,458 IN PROFIT PER DAY +$76,117.48 PnL in 9 days on Polymarket Only on short Bitcoin “Up / Down” markets On May 3, this wallet switched to a high-frequency market-making style using Bayesian + Stoikov pricing rule P(H|D) = P(D|H) · P(H) / P(D) Best profit-making trades: $2,851 → $7,332 (+$4,480 +157%) $881 → $4,756 (+$3,874 +439%) $3,455 → $6,319 (+$2,864 +82%) These three Bitcoin “Up / Down” positions can be combined into one parlay. Each correct prediction multiplies the next one Single trade → +$3.874 PnL, but BTC “Up / Down” combined with ETH / SOL “Up / Down” in one parlay = that number multiplied three times over This parlay-Bot access:t.me/poly_parlay_bo… The Bayesian component is what allows the system to recalculate fair probability before the market fully catches up f = (bp - q) / b* ; Kelly is the sizing logic. It tells the bot how aggressively to press the edge once the opportunity appears r = s - qγσ²(T - t) ; Stoikov acts as the quote and inventory controller, helping the strategy balance fills and keep exposure under control So this is not some random wallet blindly clicking both outcomes At the core, the idea is simple: accumulate positions when the combined cost of { YES + NO is below 100¢ }

🚨 THIS WILL FIX YOUR TRADING BOT: Your bot found the perfect entry. No liquidity. Trade dead before it starts. This kills more bot strategies than bad signals ever will. I ran into this wall dozens of times building bots on Polymarket. Here is the solution most devs never figure out and it changed everything for me. Two ways to manufacture your own liquidity from scratch: Method 1 - Naked sells. You do not need to own a share to sell it. Most of the time liquidity is paired - buy shares and sell shares are the same thing from opposite sides. Buying one side is literally the same as selling the other. Use this when the side you want has no depth but the opposite side does. Method 2 - Split shares. This one is more powerful. You can split $1 USDC from your wallet into 1 UP share and 1 DOWN share simultaneously. The split shares themselves have no standalone value until resolution. If you split and do nothing - one side wins at resolution and you get your $1 back. Here is how you use this to manufacture entries: You want to buy a share at 60 cents but there is no liquidity available. When the window opened you pre-split 10 shares as preparation. They are now sitting in your wallet. You list the DOWN shares for sale at 40 cents. If they fill, you are left holding the UP share you wanted. Effective entry: 60 cents. Manufactured from nothing. This works because the split mechanic creates shares independently of what the order book is showing. No liquidity in the market does not mean no position available. It means you need to create it yourself before the window gets crowded. Combined with the regime filtering and latency optimizations i broke down in my $100k month bot guide. This solves the last major execution gap that kills profitable strategies before they even get a real test. Most bots die from conditions they never modeled. Liquidity gaps are one of the most common and most fixable. Now you have the fix.