DaiEnUp

@0x_Punisher Stfu

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: <@0xe1d6b51521bd4365769199f392f9818661bd907?via=punisher" target="_blank" rel="nofollow noopener">polymarket.com/@0xe1d6b51521b…> Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

@SelenkaOnChain @Pnlpal @_TJRTrades bro ur polling an api constantly instead of using a websocket...?

Genuinely whoever can code a bot for this will become absurdly rich I’m sure someone already has

@dkrizic @Tech_girlll Impossible.

@Tech_girlll 100% test coverage

Frontend has screenshots. Backend has… what? How do backend developers show proof of work?

@GithubProjects Diverged

Scare a DEVELOPER with ONE word.

@luda_is_here @orangie100x

I can see you’re relying on unreliable signals to make your arguments. The AI-checker jab is weak and doesn’t say anything about technical correctness. On the substance: MEV isn’t defined by who extracts it or the existence of a public mempool. If block producers can reorder, include/exclude, or bundle transactions for profit, MEV exists — which completely undermines the claim that you can’t get MEV’d on Solana. Framing this as “only 400ms of visibility while leader” is misleading. Even brief pre-execution visibility combined with ordering control is sufficient for MEV by definition, and on Solana that exists via leader-based ordering and private orderflow. Anyway, I’ve got peer-reviewed journals to get back to 😄

Orangie explains how Insentos got MEV’d and INSTANTLY lost $100,000 on the $NYC Solana token…

@luda_is_here @orangie100x When your entire response is written by AI it tells me you don't fully grasp the technical details that you're arguing. leader incentives aren't MEV. You can provide tips to leader to include your bundle in the current block. But you as an individual CANNOT see private orderflow

Jito doesn’t invent sandwiches, but it provides private orderflow + bundling + leader incentives. Those are the same ingredients MEV relies on anywhere. That’s why Solana validators earn MEV tips and why MEV protection exists—ordering value still exists even without a public mempool. BTW whether something was written with AI or by hand doesn’t change the mechanics of Solana’s transaction ordering. If there’s a specific part you disagree with technically, happy to discuss that.

@luda_is_here @orangie100x but your point regarding jito enabling sandwich attacks is incorrect.

@luda_is_here @orangie100x You're not wrong, if you looked at my reply, I stated a validator can see pending transactions while he is the leader, again only for 400ms. But I also reiterate validators don't really front run tbh. They make alot of money just being validators collecting stake. Btw...

@Dutch100x @orangie100x Nah

@DaiEnUp @orangie100x Yes you can

@luda_is_here @orangie100x I’d say maybe this can happen if a validator does a front run. But he’s only the leader for 400ms before rotation so small window and it’s not really worth a validators time to do that

@luda_is_here @orangie100x The type of Mev I’m referring to is front running/sandwich attacks. This is not possible on Solana. Unlike etherum which has a public mempool where you can front running pending transactions solana does not have this. Only validators see pending transactions and only the leader.

@Crypto_K9x @orangie100x no

@DaiEnUp @orangie100x Yes you can

@securezer0 @crypto_betty @Polymarket It happens.

@crypto_betty @Polymarket YES + NO will never be < $1 It’s impossible Binary markets

how to actually build a Polymarket arbitrage bot (the simple version) +$300/day PnL if you run it right everyone overcomplicates this. Polymarket arb is literally: buy YES + NO when they cost < $1.00, wait, get $1.00 back.polytrackhq​ the part that matters isn’t “strategy” - it’s execution + not getting rugged by bad code.pypi​ where the +$300/day comes from it’s not one big bet. it’s small edges repeated across liquid markets, all day, every day.polytrackhq​ if you’re consistently locking ~1–3% per cycle and actually getting fills, +$300/day is just throughput + discipline, not “genius alpha”.polytrackhq​ first, the edge (why this isn’t a meme) polytrack’s writeup cites research showing ~$40M extracted via arbitrage and 86M bets analyzed - meaning this is a real, repeatable edge, not a one-off lucky trade.polytrackhq​ so the goal is simple: find mispricings fast, size small at first, automate the boring part.polytrackhq​ what you actually need (minimal) Python + official trading client py-clob-client (this is the standard base layer).pypi​ A VPS so the script runs 24/7 (don’t run this from a laptop). A small bankroll to test (start small, then scale after you confirm fills + slippage). where people mess up: they copy random GitHub bots and get burned, so start from official libs/docs first.pypi​ the bot loop (in plain English) Pull live prices / order book for a market.pypi​ Compute: price(YES)+price(NO)price(YES) + price(NO)price(YES)+price(NO).polytrackhq​ If the sum is < 1.00 by enough margin (to cover mistakes/slippage), send both orders.polytrackhq​ Log everything: timestamp, market, prices, expected edge, filled/not filled. Repeat forever. that’s it. no “AI alpha”, no predictions, no news scraping.polytrackhq​ where to get real references (not vibes) The simplest “how-to” style arbitrage guide with concrete logic: PolyTrackHQ’s arbitrage bot guide.polytrackhq​ Official building blocks / client: py-clob-client on PyPI (use this instead of sketchy wrappers).pypi​ If you want a ready-made automation framework directionally (not necessarily arb-only): Polymarket’s own Agents repo.github​ Reddit angle: people discussing arb tooling and calculators (useful for thinking about execution + “non-atomic” risk): r/arbitragebetting thread about Kalshi x Polymarket arb calculator.reddit​ two real-world gotchas (that decide profit vs loss) Non-atomic execution: you can get one side filled and the other not, especially in thin books (this is why people talk about “execution risk” in arb threads).reddit​ Threshold selection: “sum < 0.99” is a meme number - in practice you want margin for slippage and failed fills, otherwise you’ll churn.polytrackhq​ how to make it feel “pro” fast Run it only on high-volume markets at first (fills matter more than theoretical edge).polytrackhq​ Start with tiny sizing until logs show stable behavior (then scale).polytrackhq​ Treat every GitHub bot as malicious until proven otherwise; build on official libs.pypi

@0xSweep @sherlock_hodles community

@sherlock_hodles WHAT DOES IT MEAN THO?

I always thought "CT" meant Crypto Twitter LMFAO

@DoctorDeFi @Polymarket @gabagool22 @fileverse AI slop tweet.

I analysed 20,000 trades of Gabagool, so you don't have to. 100% of the "@polymarket" analysis done by your favorite X account is WRONG. @gabagool22?tab=activity" target="_blank" rel="nofollow noopener">polymarket.com/@gabagool22?ta… Analysis of @gabagool22 (from real trade data), @fileverse link of CSV (20K trades in 2 hour window, in the 2nd tweet of the thread) 1️⃣ Trade cadence → 100% bot Stats ✨Total trades: 20,000 ✨Time span: ~2 hours 21 minutes ✨Average trades/hour: ~8,490 ✨Median time between trades: 0 seconds ✨10th–90th percentile gap: 0 seconds Yes, 20K trades in 2 hour, 21 minutes!! Interpretation This is not “fast human trading”. This is: Batch execution Parallel transactions Possibly multiple orders per block Likely using market orders or aggressive limit orders ➡️ Definitive automated execution. No ambiguity. 2️⃣ Market selection → short-duration crypto markets only Top traded markets: BTC Up/Down 7:30–7:453,4962 ETH Up/Down 7:30–7:453,1923 BTC Up/Down 7:00–7:152,7744 BTC Up/Down 7:15–7:302,6225 BTC Up/Down 7:45–8:002,200 🧠 Interpretation Only ultra-short time windows, No long-horizon prediction, No politics, sports, macro events ➡️ This bot is not forecasting outcomes ➡️ It is exploiting micro-structure inefficiencies 3️⃣ Critical finding: ❌ NOT complete-set arbitrage ✅I explicitly tested for: BUY YES + BUY NO same market, within 30 seconds, where YES + NO < 0.995 Result: Zero matches. That means: ❌ No classic complete-set arbitrage ❌ Not the “risk-free $1 redemption” strategy This is important, many people assume that’s what it’s doing. It is not. 4️⃣ What strategy is this bot running? Based on the evidence, this is a pure micro-scalping / liquidity-sniping bot. Likely mechanics (very clear from data): 🧠 Strategy: Directional micro-scalping Trades only one side at a time Enters and exits rapidly Exploits: 🔹Spread compression 🔹Temporary imbalance after market opens 🔹Overreaction in the first minutes of a 15-min window Probably uses price ladder logic, not prediction Why it works: 🔹Polymarket short-duration markets are: 🔹Thin initially 🔹Retail-heavy 🔹Slow to update Bots can: ✅Enter early ✅Push price slightly ✅Exit on mean reversion ✅Repeat thousands of times 5️⃣ Why you see insane PnL on the profile This is not: ❌Big directional bets ❌Insider info ❌Prediction skill This is: Millions of tiny edges ✅Sub-cent to cent-level profit per trade ✅Extreme turnover ✅Zero emotional risk Think: Market-making / HFT-style behavior adapted to Polymarket's weak microstructure 6️⃣ One subtle but important insight Because: Median gap = 0 seconds Trades cluster in the first few minutes of markets This bot is almost certainly: ✅Reacting to price formation, not price movement Possibly using: External BTC/ETH price feeds Pre-calculated probability curves Immediate post-listing mispricing 7️⃣ Final classification (no guesswork) ✅ What this bot is 🔹Ultra-high frequency 🔹Directional scalper 🔹Short-window crypto specialist 🔹Micro-edge farmer ❌ What it is NOT Not a predictor Not a complete-set arbitrage bot Not long-term Not market-neutral in the classic sense 8️⃣ Can this be replicated? Technically: yes Practically: very hard You'd need: 🔹Websocket price feeds 🔹Instant order placement 🔹Good slippage modeling 🔹Capital large enough to survive variance Competition with other bots exactly like this. Margins are razor-thin.

@_zoovie1 @LakeShowYo Can you?

@LakeShowYo No way “lakeshow” in the nose bleeds cmon bro can’t afford better seats ?? Lmaooooo

LEBRON FADEAWAY 🐐👑