RZuliant

@arip13741167 Full dlmm doang ini bang ? Atau ada side lain ?

Hidup di desa bisa banget kok ngehasilin 2 digit sebulan. Ini saya 25 jt dalam 2 minggu cuma pakai HP android 1 jutaan + skill saya di meteora. Litterally Tanpa PC,tanpa laptop, tanpa iphone-iphonenan. Curhat dikit, Saya bahkan rela keluar kerja demi grinding di web 3, alasannya? Ya hasil di web 3 jauh lebih banyak dari pada kerja di real life, ga ada tekanan dari bos dan kebetulan saya punya skill disini. Kenapa engga nyambi kerja aja bang? Ga bisa, kalo di real life rame pelanggan saya ga bisa fokus grinding web 3 yang ada kalang kabut. Jadi, buat kalian yang bingung gimana nambah penghasilan kalian bisa belajar dunia web 3 ini. Dunia Web 3 itu banyak jadi belajar dan pilihlah yang cocok dengan skill kalian. Thanks to @MeteoraAG @met_lparmy @MeteoraIDN

DeepSeek V4 Flash. Free. No tricks. Here's how I run it with Hermes Agent via Nous Portal: 1. Sign up at portal.nousresearch.com 2. Subscribe to the free plan (card required but $0 billed) 3. hermes model → pick Nous Portal → login 4. Select deepseek/deepseek-v4-flash from the list. If it's hiding, type it manually. 5/ Done. Start prompting. What you get: DeepSeek V4 Flash — one of the fastest reasoning models right now — routed through Hermes Agent with full tool access (terminal, browser, file ops, web search). Cost: $0. Try it and tell me how it goes.

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: polymarket.com/profile/%40gob… Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site): @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666

POLYMARKET BOTS ARE NOT BLACK BOXES -> github.com/Polymarket/py-… Official Python client for Polymarket CLOB V2. If your pipeline is built in Python, this is probably the cleanest starting point: API creds, authenticated client, order flow, and direct CLOB interaction. -> github.com/nevuamarkets/p… A TypeScript library for Polymarket WebSocket data. Auto reconnect, dynamic subscriptions, book events, price changes, tick size changes, and last trade price. This is exactly the kind of repo you need for Step 1: recording the order book. -> github.com/Polymarket/age… Official Polymarket agent skills repo. This fits the “Now you can use AI” part perfectly: auth, order placement, market reads, live data streams, position management, and WebSocket patterns. Basically, the bridge between Polymarket data and AI agents. Not bad starter kit.

@ism_sol Ditunggu open source nya kingg

agent polymarket ngasih signalnya udah oke nih gua abis cek itu lossnya kebanyakan dari market bola, trus mau gua blacklist dulu abis itu gua push github inpo aja agent polymarket buatan gua ini fokusnya ke profit harian kecil kecil konsisten sekitar 3-15%💥

5 Best Open-Source GitHub Bots for Polymarket BTC UP/DOWN Markets Right Now (Arbitrage + Momentum + Latency) Each one uses a different strategy - from pure arbitrage to latency sniping to momentum 1. JLowo/gengar_polymarket_bot Latency arbitrage on 5-minute BTC UP/DOWN markets. BTC moves on Binance - Polymarket's order book takes seconds to reprice The bot buys the correct side at a discount before the market catches up Example: BTC pumps hard, but "BTC Up" shares still trade at $0.60. True probability is 85%. Bot enters, holds to resolution, collects $1.00 Quarter-Kelly sizing - at 80%+ win rate with average entry $0.68, positions range $8–20 per trade depending on edge and bankroll. Circuit breaker built in: daily loss limit configurable via .env, Telegram alert when triggered GitHub: github.com/JLowo/gengar_p… 2. djienne/Polymarket-bot Two strategies in one repo - run them separately or together Gabagool: pure arbitrage. Buys both YES and NO when combined price is below $1.00 - profit locked in regardless of BTC direction Smart Ape: momentum. Enters the side the market is already favoring when book skew and confidence pass the threshold. Stop-loss and flip-stop cut bad paths before resolution Kelly Criterion sizing for both strategies independently. Real-time auto-optimization adjusts parameters based on recent performance GitHub: github.com/djienne/Polyma… 3. Jonmaa/btc-polymarket-bot Pure arbitrage on 15-minute BTC UP/DOWN markets. Scans the order book continuously - when UP + DOWN combined cost drops below $1.00, both legs are entered simultaneously Depth-aware sizing: walks the ask book to find the real worst-fill price before committing. No optimistic pricing Paired execution verification: if only one leg fills, the bot cancels the other and attempts to flatten exposure immediately Auto-switches to the next market when the current window closes. Simulation mode connects to real live feeds without placing orders GitHub: github.com/Jonmaa/btc-pol… 4. CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot The only bot in this list that trades two platforms simultaneously Detects risk-free arbitrage between Polymarket and Kalshi on the BTC 1-hour UP/DOWN market Logic: if YES on Kalshi + DOWN on Polymarket costs less than $1.00 for the same expiry - guaranteed profit regardless of outcome Smart matching automatically pairs Polymarket events with their Kalshi equivalents. Checks both directions: Poly Down + Kalshi Yes and Poly Up + Kalshi No GitHub: github.com/CarlosIbCu/pol… 5. PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot Three production-style Python bots in one repo covering 5m, 15m, and 1h UP/DOWN markets VWAP bot: enters when price pulls above VWAP with positive momentum in a late, narrow window Consensus bot: in the last minutes, buys the side the order book already favors - filters by spread and ask skew confidence Dump-and-hedge: detects a sharp BTC dump, enters one side, then hedges the other when combined pair cost clears the edge threshold MACD + RSI + VWAP combined for the momentum stack. Dry run mode, spend caps, stop-loss built in across all three bots GitHub: github.com/PolyBullLabs/p… Like/RT/Bookmark if this was helpful If I missed any interesting repo, feel free to share them in the replies

This Quant bot turned $1.2K → $777K in 37 days on Polymarket i backtested his strategy on 72M Polymarket trades data-set + plugged into self-learning agent. installed it on a VPS + added Binance API + connected Codex 5.5 3 days → 346% ROI run your agent in 5 steps: • rent a VPS on Hetzner - $5.99 • run Hermes CLI using one-liner code - free • add Binance API + github with trading logic - free • connect Codex 5.5 & TG bot • sent Hermes step-by-step prompts from the article start small (1-2$), give Hermes {50–100} trades to build his strategy using the self-education skill. if you don't want to play with VPS & CLI, set up in 2 clicks using Atomic framework. bot profile: @0xe1d6b51521bd4365769199f392f9818661bd907?r=following" target="_blank" rel="nofollow noopener">polymarket.com/@0xe1d6b51521b… read full guide on running a self-learning crypto agent below ↓

10 free GitHub repos for trading on Polymarket. Everything you need to automate and make your analysis and trading easier: 1. The largest dataset with over 107GB of real historical Polymarket trading data, analyzed by 5 students from Shanghai University. GitHub: github.com/SII-WANGZJ/Pol… 2. This bot automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: github.com/lihanyu81/poly… 3. A Chinese weather bot that analyzes multiple sources, like forecasts, airport data and aviation observations in real time to generate a detailed weather report for a specific day and city. GitHub: github.com/yangyuan-zhen/… 4. This tool lets you pull historical data for any ever existed market with detailed statistics and charts. GitHub: github.com/warproxxx/poly… 5. An AI trading server that lets Claude analyze any market in real time, track price movements, suggest possible trades and even trade for you. GitHub: github.com/caiovicentino/… 6. A ready to use tool for building your own AI agents. GitHub: github.com/pydantic/pydan… 7. This repo collects and analyzes the full trading history of any Polymarket wallet, exports data to CSV with statistics and charts. GitHub: github.com/leolopez007/po… 8. An autonomous researcher that can investigate any topic and generate a detailed final report. GitHub: github.com/assafelovic/gp… 9. This tool analyzes everything that happened on the web over the last 30 days to help find useful patterns, connections and recent context. Very useful before trading. GitHub: github.com/mvanhorn/last3… 10. A huge collection of 100+ useful tools and services for Polymarket, from analytics tools and trading bots to AI agents and education resources. GitHub: github.com/aarora4/Awesom… All of these tools come with a detailed step by step setup and usage guide.

THE 3 FORMULAS TO WIN ON POLYMARKET 1. Avellaneda-Stoikov - the foundation of every quant market making desk Reservation price: r = s - q x γ x σ² x (T - t) Optimal spread: δ = γσ²(T-t) + (2/γ) x ln(1 + γ/κ) Adapted to prediction markets via log-odds: logit(p) = ln(p / 1-p) 2. Empirical Kelly with Monte Carlo - sizing without ruin Naive Kelly assumes you know your edge exactly. You don't. Run 10,000 Monte Carlo paths. Target the 95th percentile drawdown. f_empirical = f_kelly x (1 - CV_edge) High uncertainty = aggressive haircut to position size. 3. VPIN - detecting when informed traders are in the market VPIN = |V_buy - V_sell| / (V_buy + V_sell) VPIN rising: widen spreads. VPIN spiking: withdraw quotes entirely. There is no spread wide enough to quote into fully informed flow. Full breakdown of all 5 formulas in the article below👇

HP Android lo dicopet? Lo bisa dapet foto muka maling + lokasi real time dia. Langsung dikirim ke email lo. Ada app yang bisa setup ini dalam 2 menit. Maling gak bakal tau. Gue setup di HP Redmi Note 10 gue. Gini caranya:

@ism_sol Antigravity nya pake subs ta mas ?

@ism_sol Udah nyoba mas ?

lu semua lagi demen kan ai agent yang bisa auto trading crypto 24/7 💻 gua nemu nih Github reponya tinggal lu gabungin sama ai model yg mau lu pake. namanya Freqtrade udah gua taro linknya di komen fiturnya apa aja : > bisa lu atur sesuai strategi trading lu > auto buy/sell spot & futures di exchange gede > bisa dry-run mode (test dulu tanpa duit beneran) > backtesting pake data historis hyperopt buat optimasi > bisa belajar sendiri & adaptasi otomatis) > bisa whitelist & blacklist coin > Kontrol bot, lihat status, profit, stop bot, dll. dari telegram > exchange yang support (per 2026) ~ spot: Binance, Bybit, OKX, Bitget, Gate io, Kraken, HTX, BingX, Bitmart, Hyperliquid ~ futures: Binance, Bybit, OKX, Bitget, Gate io, Kraken, Hyperliquid > open source 100% gratis bisa langsung gas bikin asal lu udah ada strategi sendiri 🧑‍💻

MINI EDU 101: TVL 📚 Total Value Locked = total likuiditas di dalam pool Cara tau TVL pool besar atau kecil gimana? Hitung ratio = TVL ÷ MC token Semakin kecil ratio → semakin bagus untuk di-LP Ini formula yang mimin pake: 🔹 ≤ 0.1 → Ideal. TVL masih keitung normal, fee share kalian lebih gede 🔹 0.15 – 0.2 → Masih bisa untuk range panjang 🔹 > 0.2 → High risk. Kurang ideal untuk tight range Kenapa > 0.2 berbahaya? Di ratio ini, selling pressure bukan cuma dari trader Tapi juga dari sesama LP yang close position / cut loss posisi mereka Penting juga untuk ngecek ada berapa SOL di 1bin Disini kalian bisa memperkirakan kurang lebih butuh berapa SOL untuk harganya balik ke range atas Pengecualian : Vol 5min sangat tinggi (> 500k/5min) bisa "nutupin" ratio yang udah tinggi Contoh praktisnya: ✦ MC 1M → TVL ideal di bawah atau sama dengan 100k ✦ MC 500k → TVL 100k → Udah over banget jadi jangan dipaksa Coba deh kalian kasih mimin contoh case yang lain biar mimin bantu jawab 😊

nih urutan kalo lu mau bikin ai agent yang simple dan enak, misal mau nambah fitur/upgrade 2.0 si agentnya juga bisa > jelasin apa yang kamu buat ke ChatGPT dan suruh dia interview lu + sekalian brainstorming > lalu suruh ChatGPT untuk buat itu semua jadi prompt > paste prompt detail yg dibuat ChatGPT tadi ke Claude > tambahin kalimat ini kalo gua "Pastikan tidak ada kesalahan dan 0 debug. Outputnya wajib file Zip agar bisa aku download." > download file Zip dari claude nya > trus lu masukin file Zip nya ke agentic IDE kek @antigravity @cursor_ai atau @code nah disini udah enak 🤗 lu bisa tanya detail entah cara deploynya gimana atau kalo ada yang kurang tinggal minta dia edit langsung file nya trus lu deploy lagi sampe jadi lebih bagus debug juga mungkin masih ada, bisa minta dibenerin langsung sama agentic IDE yg lu pake nanti

ini link terakhir yang bisa gua dapetin sisa 10 slot nih g.co/g1referral/TDC…

been a while since i'm breakdown my dlmm position, here's some play that works well this past few days with tight-bid-ask sol and flip. entry : after this token hit 1m cap, the token dumping to 300k, almost 70-80% dump. i didn't catch the momentum when pumping, so, just wait, sometimes the best strategy is waiting. wait the token dumping and a bit retrace, put 15-30% single side sol bid-ask. with this, you can accumulate the token and fees. exit : the supertrend break, @bengsharksol pinging a reminder on @MeteoraIDN when the token break supertrend 5m. i flip my ba sol to bid-ask token with 200% upside range, and yeah the token pumping like 40% and i got nice 47% from token price + fees. this been my whole strategy for the few weeks when the volume is too low. but instead of buying the token spot, i set dlmm dca in and out. clean in + perfect out.

Claude sering kasih jawaban yang berantakan dan nggak konsisten? Developer AI profesional punya cara untuk fix ini, namanya JSON prompt. Teknik yang bikin output Claude selalu rapi, terstruktur, dan bisa langsung dipakai di mana saja. Gue kasih 5 teknik dari yang paling simpel sampai JSON prompt gratis. Jangan lupa di-save 🧵

Pernah gak sih kalian mikir gini… “Kok ya orang-orang bisa jago banget tradingnya? Strategy mereka apasih? Pasti ada rahasia dong…” Gue dulu juga sering gitu. Scroll timeline, liat trader payout puluhan juta, langsung mikir “pasti strategi mereka canggih banget”. Terus gue coba macem-macem… sampe akhirnya sadar: Bukan strategi aja yang bikin mereka pro, tapi disiplin + kesempatan buat latihan beneran. Kalau Strategi favorit gue sendiri? Jelas Fibonacci. Simple, powerful, dan pas banget buat nemuin level penting di chart. Tapi Fibonacci cuma alat, yang bikin dia kerja adalah lo nggak revenge trade pas dia “ngaco” sekali dua kali. Nah, sekarang liat post ini 👇 4 trader lagi payout total ratusan juta (Rp53jt, Rp19jt, Rp11jt, Rp6jt) padahal modal challenge-nya cuma Rp500 ribu doang. Mereka nggak modal gede dari kantong sendiri. Mereka cuma berani mulai duluan di prop firm yang beneran bayar. Gimana caranya lo bisa ikutan latihan strategi favorit lo (Fibonacci atau apa pun) dengan modal kecil dan kesempatan payout yang sama? Prime Academy FX lagi buka challenge-nya. Mau lebih hemat? Pakai kode promo ini: SEQUENCE10 (Diskon 10%) → $10K cuma $89.1 → $100K cuma $504 SEQUENCE15 (Diskon 15%) → $25K cuma $134.3 (komisi $13.43) → $50K cuma $253.3 (komisi $25.33) Siapa tahu lo yang berikutnya cerita “gue dulu mikir strategy apa sih…” sambil nunjukin payout lo sendiri 💰 @primeacademyfx