Suresh

290 posts

Suresh

Suresh

@Gsam66G

Katılım Ocak 2026
76 Takip Edilen16 Takipçiler
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Nico
Nico@nicos_ai·
Claude Code es un lío. Hasta que instalas esto. Hay un plugin oficial de Anthropic llamado claude-code-setup. Te dice qué automatizaciones puedes montar (hooks, skills, MCP servers, subagentes…) y cómo configurarlas paso a paso. Básicamente analiza tu proyecto y te recomienda qué activar. Para instalarlo: /plugin install claude-code-setup@claude-plugins-official Guarda este post para no perderlo 🔖
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Alter Ego
Alter Ego@AlterEgo_eth·
5 GitHub repos for trading Polymarket weather markets From beginner-friendly to serious quant infrastructure 1. alteregoeth-ai/weatherbot Pure Python weather trading bot for Polymarket.Uses three forecast sources: ECMWF, HRRR for US cities, and METAR observations. Scans temperature markets, finds mispriced buckets, enters when EV is positive. Kelly Criterion position sizing + simulation mode built in. GitHub: github.com/alteregoeth-ai… 2. suislanchez/polymarket-kalshi-weather-bot Trades weather markets on both Polymarket and Kalshi simultaneously. Uses 31-member GFS ensemble from Open-Meteo - converts ensemble agreement into a probability, trades when edge vs market price exceeds 8%. React dashboard, FastAPI backend, SQLite tracking. GitHub: github.com/suislanchez/po… 3. hcharper/polyBot-Weather Designed for regular hardware - Mac Mini, home PC, residential internet. Gaussian probability model on top of NOAA data for weather markets. Also covers crypto markets via Black-Scholes and binary arbitrage as additional strategies. Copy trading built in - monitors top Polymarket wallet addresses on-chain and mirrors positions. Streamlit dashboard for monitoring. GitHub: github.com/hcharper/polyB… 4. yangyuan-zhen/PolyWeather Monitors 52 cities. Uses DEB (Dynamic Error Balancing) - blends multiple model forecasts weighted by recent accuracy per city. Generates calibrated probability buckets, scans Polymarket for mispricing. Works via both web dashboard and Telegram bot. GitHub: github.com/yangyuan-zhen/… 5. Polymarket/agents Official repo from Polymarket. Reference implementation for connecting to Gamma API, fetching markets, querying news sources, and executing trades via CLOB. The cleanest starting point if you're building a bot from scratch. GitHub: github.com/polymarket/age…
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Alter Ego@AlterEgo_eth

10 GitHub repos that cut your Claude Code token usage by 60–90% This will help you when creating your own trading bots and tools for Polymarket, as well as for any other tasks Here's the full list 1. RTK (Rust Token Killer) CLI proxy that filters terminal output before it hits your context window. 60–90% reduction on common dev commands. One binary, zero dependencies. Works with Claude Code, Cursor, Copilot. GitHub: github.com/rtk-ai/rtk 2. Token Savior MCP server that navigates code by symbols, not full files. 97% reduction on code navigation. Persistent memory across sessions. 69 tools, zero external dependencies. GitHub: github.com/Mibayy/token-s… 3. Context Mode Sandboxes raw tool output into SQLite instead of dumping it straight into context. 98% context reduction on Playwright, GitHub, logs. Only clean summaries enter your conversation. Works as a Claude Code plugin. GitHub: github.com/mksglu/context… 4. code-review-graph Local knowledge graph that maps your codebase with Tree-sitter. Claude reads only what matters - not the entire repo. 49x token reduction on large monorepos. 6.8x on average reviews. GitHub: github.com/tirth8205/code… 5. Caveman Claude Makes Claude respond like a caveman to cut output tokens. 65–75% output reduction. One-line install. Full technical accuracy stays intact. GitHub: github.com/JuliusBrussee/… 6. token-optimizer-mcp MCP server with caching, compression, and smart tool intelligence. 95%+ token reduction through intelligent caching. Compresses repeated tool outputs automatically. GitHub: github.com/ooples/token-o… 7. claude-token-efficient One CLAUDE.md file that keeps responses terse. Drop-in, no code changes needed. Reduces output verbosity on heavy workflows. Best for output-heavy sessions. GitHub: github.com/drona23/claude… 8. claude-context (by Zilliz) Code search MCP that makes your entire codebase the context. ~40% reduction with equivalent retrieval quality. Hybrid BM25 + dense vector search. GitHub: github.com/zilliztech/cla… 9. claude-token-optimizer Reusable setup prompts for optimizing any project. 90% token savings in 5 minutes. Reduces doc token usage from 11K to 1.3K. GitHub: github.com/nadimtuhin/cla… 10. token-optimizer Finds ghost tokens that silently eat your context. Survives compaction without losing quality. Fixes context quality decay over long sessions. GitHub: github.com/alexgreensh/to… You don't need all 10. Pick 2–3 based on your workflow: Heavy terminal output? → RTK Big codebase? → code-review-graph + Token Savior Lots of MCP servers? → Context Mode Quick fix? → Caveman + claude-token-efficient Most people are burning tokens without knowing it. Run /context in a fresh session and see how much is already gone before you type a single word. Like/RT/Bookmark if this was helpful Follow me for more!

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Alter Ego
Alter Ego@AlterEgo_eth·
How to reverse-engineer any Polymarket trader's strategy using the API Polymarket is fully transparent on-chain.Every position, every market, every PnL number - all publicly accessible via API Here's exactly how it works Step 1. How many markets has the trader played? Hit the Polymarket Data API at the /traded endpoint with their wallet address as the user parameter Returns one number - the exact same counter shown on their public profile. 50 markets vs 3,000 markets tells you a lot before you look at anything else Step 2. Closed positions The /closed-positions endpoint on the same Data API gives you every resolved market the trader participated in. The key field is realizedPnl - how much they actually made or lost on each position. Paginate with limit=50 and offset - keep pulling pages until you get an empty response Step 3. Open positions The /positions endpoint has a detail most people miss. Positions split into two types: active (market still running) and redeemable (market resolved, tokens not yet claimed) Redeemable positions never appear in closed-positions - they live here until the trader claims their winnings For redeemable positions, PnL = realizedPnl + cashPnl. Both fields matter Once you have all three endpoints, you can build a real picture. Total PnL = sum of realizedPnl from closed + sum of realizedPnl + cashPnl from redeemable. Then take the eventSlug from each position and hit the Polymarket Gamma API at the /events endpoint with that slug. You get category tags for every market. Now you can see: what percentage of their trades are weather markets? Politics? Crypto? Where is their win rate highest? Where do they consistently lose? This is how you reverse-engineer anyone on the leaderboard. Pull their positions. Tag by category. Sort by PnL In 10 minutes you know whether you're looking at a weather specialist with a systematic edge, a political quant, or someone who got lucky on one big trade Once you have the raw data - feed it straight into AI Ask it to find patterns in entry timing, position sizing, category focus, win streaks and losing runs What looks like intuition from the outside often turns out to be a very specific, repeatable system. AI will spot it faster than any manual analysis
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Alter Ego@AlterEgo_eth

How to pull markets from Polymarket by specific niche Most people work with all markets at once - and drown in data If you’re building a tool or analyzing a specific topic, you need filtering by niche right from the start Here’s how it works via the Gamma API >Tags are the basis of filtering Every market on Polymarket has tags Every tag has a numeric ID. It is exactly through this ID that filtering happens: • Politics → tag_id = 2 • Sports → tag_id = 1 • Crypto → tag_id = 21 First you make a request to /tags/{id} to make sure the tag exists and to get its metadata Then you pass this ID as a parameter in the request to /markets >Request parameters Gamma API accepts flexible parameters - you can combine them for any task: • tag_id - filter by niche • closed - only completed or only active markets • end_date_min / end_date_max - time range • limit / offset - pagination, maximum 200 per request • order / ascending - sorting by date, volume, etc >Pagination There are a lot of markets - the API returns them in pages You need to make requests in a loop, each time increasing the offset by the page size, until you get an empty response >Volume filtering The API returns all markets, including micro-markets with zero volume It usually makes sense to additionally filter by minimum volume - for example from $50,000 - to keep only liquid markets where there was real trading >Result At the output you get a clean list of markets for a specific niche for the required period - with volumes, prices, resolution dates and metadata This can be used for strategy analysis, backtesting, building a dashboard or training a model Three parameters - tag, period, minimum volume That’s enough to pull any niche from Polymarket

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SilenceÇaPrompt
SilenceÇaPrompt@SilenceCaPrompt·
Ce japonais a trouvé le vrai levier de Claude Code avant tout le monde. Il installe "Find Skills", décrit ce qu'il veut faire et le système lui propose les skills parfaits parmi des centaines. Son système YouTube automatisé cartonne grâce à ça.
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Charly Wargnier
Charly Wargnier@DataChaz·
🚨 STOP BURNING YOUR TOKENS! If you use Claude Code, you are probably wasting 80% of your context window. I found 10 ace tools that will completely rescue your API bill. 1. Caveman Claude - Literally makes Claude talk like a caveman - Slashes 75% of output tokens with zero loss in accuracy Repo → github.com/juliusbrussee/… 2. RTK (Rust Token Killer) - A blazing fast proxy that filters terminal output - 60-90% reduction and completely dependency-free Repo → github.com/rtk-ai/rtk 3. Code Review Graph - Claude reads only what matters using a Tree-sitter graph - An unbelievable 49x token reduction on huge monorepos Repo → github.com/tirth8205/code… 4. Context Mode - Sandboxes raw output into SQLite instead of your context - A staggering 98% context reduction on logs & GitHub Repo → github.com/mksglu/context… 5. Claude Token Optimizer - Brilliant setup prompts that optimize any project - 90% token savings, taking docs from 11K to 1.3K Repo → github.com/nadimtuhin/cla… 6. Token Optimizer - Hunts down the invisible ghost tokens eating your context - Fully restores and protects your context quality Repo → github.com/alexgreensh/to… 7. Token Optimizer MCP - Adds aggressive caching and compression to your MCP tools - 95%+ token reduction through pure intelligence Repo → github.com/ooples/token-o… 8. Claude Context - Zilliz’s hybrid vector search MCP - Makes your entire codebase the context for 40% less cost Repo → github.com/zilliztech/cla… 9. Claude Token Efficient - Just drop one CLAUDE.md file into your repo - Enforces strict terseness with zero code changes Repo → github.com/drona23/claude… 10. Token Savior - Navigates your code by symbols, not giant files - 97% reduction on code navigation with persistent memory Repo → github.com/mibayy/token-s… ---- [ The god-tier stack ] Pick 2-3 based on what’s draining you: > Massive repo? Code Review Graph + Token Savior > Heavy terminal output? RTK > MCP data dumps? Context Mode > Need an instant fix? Caveman + Claude Token Efficient Most devs are bleeding tokens. Run `/context` in a fresh session and watch the savings roll in 👀
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kaize@0x_kaize

x.com/i/article/2037…

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Axel Bitblaze 🪓
Axel Bitblaze 🪓@Axel_bitblaze69·
Tradingview MCP running? good. that's step 1. step 2 is wiring in dune MCP with it.. im loving this combo.. Tradingview reads your live chart. price, RSI, MACD, volume, structure. Dune pulls onchain flow.. wallets, holders, snipers, cex inflows. 3 prompt you can try: 1) breakout validation "claude, $TOKEN just broke out on the 4H. pull the chart state and cross-check against onchain flows. are whales accumulating or is this retail fomo?" claude reads your live chart → queries dune for wallet activity in the last 48h → tells you if the breakout has conviction. if whales are buying → size up. if it's 500 fresh wallets chasing → fade or stay out. 2) top detection "claude, $TOKEN is going parabolic on the 1H. check if snipers + early buyers are starting to distribute. flag if top 20 wallets have sold >20% of their position." pure exit signal. charts show you the parabola. onchain tells you who's dumping into it. best distribution signal you can get. 3) post-trade review "claude, i closed $TOKEN at X. pull the chart and onchain data from my entry to exit.. what signals did i miss on both sides?" receipts based feedback. chart gives you structure you missed. onchain shows you wallet moves that telegraphed the exit days before your chart did..
Axel Bitblaze 🪓@Axel_bitblaze69

x.com/i/article/2045…

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Alter Ego
Alter Ego@AlterEgo_eth·
How to pull markets from Polymarket by specific niche Most people work with all markets at once - and drown in data If you’re building a tool or analyzing a specific topic, you need filtering by niche right from the start Here’s how it works via the Gamma API >Tags are the basis of filtering Every market on Polymarket has tags Every tag has a numeric ID. It is exactly through this ID that filtering happens: • Politics → tag_id = 2 • Sports → tag_id = 1 • Crypto → tag_id = 21 First you make a request to /tags/{id} to make sure the tag exists and to get its metadata Then you pass this ID as a parameter in the request to /markets >Request parameters Gamma API accepts flexible parameters - you can combine them for any task: • tag_id - filter by niche • closed - only completed or only active markets • end_date_min / end_date_max - time range • limit / offset - pagination, maximum 200 per request • order / ascending - sorting by date, volume, etc >Pagination There are a lot of markets - the API returns them in pages You need to make requests in a loop, each time increasing the offset by the page size, until you get an empty response >Volume filtering The API returns all markets, including micro-markets with zero volume It usually makes sense to additionally filter by minimum volume - for example from $50,000 - to keep only liquid markets where there was real trading >Result At the output you get a clean list of markets for a specific niche for the required period - with volumes, prices, resolution dates and metadata This can be used for strategy analysis, backtesting, building a dashboard or training a model Three parameters - tag, period, minimum volume That’s enough to pull any niche from Polymarket
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Alter Ego@AlterEgo_eth

If you want to build on Polymarket, start by getting to know their API There are three of them, and each is responsible for its own task Without this basic understanding, any tool or bot would be built on a whim 1. Gamma API - Markets and Discovery This is your gateway to the data. Through it, you can retrieve a list of all markets and events, filter by category, and search for specific markets. This is where most tools pull their metadata - market names, descriptions, tags, and status. It works without authentication. 2. CLOB API - Prices and Order Book Everything related to live trading. Current prices, historical data, spreads, and a real-time order book. If you’re building a bot that trades or analyzes price movements, this is where you’ll spend most of your time. Orders are also placed and executed through this interface. 3. Data API - Positions, Trades, and Analytics Everything related to a specific wallet and trading history. A user’s current positions, closed positions, trade history, total open interest, and the market’s top holders. This API forms the foundation of any wallet tracker or analytical tool. Three APIs - three layers of data: discovery, trading, and analytics. If you understand this, you understand how Polymarket works under the hood.

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Alter Ego
Alter Ego@AlterEgo_eth·
If you want to build on Polymarket, start by getting to know their API There are three of them, and each is responsible for its own task Without this basic understanding, any tool or bot would be built on a whim 1. Gamma API - Markets and Discovery This is your gateway to the data. Through it, you can retrieve a list of all markets and events, filter by category, and search for specific markets. This is where most tools pull their metadata - market names, descriptions, tags, and status. It works without authentication. 2. CLOB API - Prices and Order Book Everything related to live trading. Current prices, historical data, spreads, and a real-time order book. If you’re building a bot that trades or analyzes price movements, this is where you’ll spend most of your time. Orders are also placed and executed through this interface. 3. Data API - Positions, Trades, and Analytics Everything related to a specific wallet and trading history. A user’s current positions, closed positions, trade history, total open interest, and the market’s top holders. This API forms the foundation of any wallet tracker or analytical tool. Three APIs - three layers of data: discovery, trading, and analytics. If you understand this, you understand how Polymarket works under the hood.
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Alter Ego@AlterEgo_eth

How to make $5,000-15,000 building simple tools for Polymarket Polymarket processes billions of dollars a month, and there are still almost no decent tools for traders Only 5% of Polymarket's total volume comes from the ecosystem - meaning 95% of liquidity is still untapped This is a classic indie hacker opportunity: you take one specific trader pain, vibe code a simple tool that solves it in a few days, and sell it as a subscription No venture capital, no team, no investors What you can build right now: > Telegram bot with alerts when a market probability shifts fast > Wallet tracker with clean analytics on traders > Real-time portfolio monitoring dashboard > Market screener with filters by volume, probability, and movement Any of these can be built with vibe coding in a few days How to find your first users: They're already out there - on Twitter, in the Polymarket Discord, on Reddit Show up, show what you built, give free access to the first 20 people, collect feedback Traders who are making money on Polymarket will happily pay for tools that give them edge or save them time How to monetize: $15-30/month subscription. Niche SaaS tools consistently reach $5-15K with a few hundred paying users. You can also sell the business on Acquire - niche SaaS exits at 2-4x annual revenue. The market is growing. The tools don't exist. The window is open

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Alter Ego
Alter Ego@AlterEgo_eth·
Found one GitHub repository that replaces 50 separate searches for Polymarket tools aarora4/Awesome-Prediction-Market-Tools - a community-maintained directory of everything that exists in the prediction market ecosystem Covers Polymarket, Kalshi, Manifold, Hyperliquid, and more Here's what's inside: > AI Agents - 30+ tools: from Alphascope (real-time signals) to Polybro (an agent that researches data on its own and outputs trading decisions) > Analytics - Polymarket Analytics, Hashdive, EventWaves, TREMOR with SQL queries across 140k+ markets, and dozens more > Alerts - Whale Tracker Livid, PolyIntel, PolySpy, YN Signals. If a big player enters a market - you're the first to know > Arbitrage - ArbBets, Eventarb, PolyScalping, Polytrage. Automated alerts on price discrepancies between Polymarket and Kalshi > Trading Bots - Sharpe Terminal, Converge, Rainmaker, Polycule, and ~25 more of varying complexity > Data - TREMOR, Artemis, Blockworks, several Dune dashboards with on-chain data > DeFi - Gondor (loans against Polymarket positions), Robin (yield on open positions), HyperOdd (20x leverage) > Infrastructure - SEDA, OrderbookTrade, Compose for those building their own tools The repo is actively maintained: 10 contributors, 12 open PRs - people keep adding new tools constantly GitHub: github.com/aarora4/Awesom… If you're building a bot or looking for trading tools - start here
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Alter Ego@AlterEgo_eth

This GitHub repository lets you backtest trading strategies on real Polymarket and Kalshi data An event-driven engine that replays historical trades in chronological order - simulating order fills, portfolio tracking, and market lifecycle events Built on top of Jon-Becker's dataset with 36GB of real trade history What's inside: > Three ready-to-use strategies: buying at low prices, calibration arbitrage, and martingale with mean-reversion > Detailed charts: equity curve, P&L, drawdown, Sharpe, monthly returns > Polymarket and Kalshi support out of the box > Simple API for writing your own strategies - drop a file in the folder and it appears in the menu automatically > Hooks for every event: market open, close, resolution, order fill Most people test strategies on paper or go straight to live trading This engine lets you run a strategy through millions of real trades before spending a single dollar You see the drawdown, Sharpe, monthly returns - all on real data, not synthetics Repo is in active development, full release planned in 1-2 months. Good time to get in early and star it while there's still barely anyone there GitHub: github.com/evan-kolberg/p…

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Parity
Parity@PredictParity·
The top 15 most profitable bots on polymarket
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Alter Ego
Alter Ego@AlterEgo_eth·
You can build your own Polymarket bot with zero coding experience I've seen dozens of attempts like this in CT Here's where everything breaks - and how to do it right > Mistake 1: Starting with "build me a bot" They type into Claude or ChatGPT: "write a trading bot for Polymarket" They get 300 lines of code that doesn't work, because the AI knows nothing about their strategy or how Polymarket works under the hood How to do it right: first explain to the AI what Polymarket is, how the CLOB works, and what specific problem the bot is solving. Context is everything > Mistake 2: Trying to build everything at once They want a bot that: analyzes news + tracks whales + trades on its own + sends Telegram alerts Nothing ends up working How to do it right: one bot - one job. Start with the simplest possible thing: a bot that just pulls data from the Polymarket API and prints it in the terminal. That's already a win > Mistake 3: Ignoring official repositories They try to write everything from scratch instead of using existing infrastructure How to do it right: grab Polymarket/py-clob-client - the official Python SDK. Paste the README directly into your AI chat and ask it to explain how to use it for your specific task > Mistake 4: Trading real money immediately They launch it, seems to work, deposit $200 - lose it How to do it right: start with the bot only reading data and logging what it would have done. Watch the decisions for a few days. Only then trade with minimal amounts > Mistake 5: Writing all the code at once They ask the AI to write the full bot in one go. They get a massive file, run it - it doesn't work. No idea where it broke or why How to do it right: break it into pieces. First ask it to write just the API connection and verify it works. Then - just market reading. Then - just filtering. Then - just the order logic. Test each block separately before moving on If something breaks - you know exactly where. If it works - you move forward with confidence > The right order of operations: - Open Claude or ChatGPT - Paste the README from Polymarket/py-clob-client - Ask it to write a script that only fetches a list of open markets - Run it - see data in the terminal - Break the next step into small pieces and test each one Vibe coding works. But only if you take small steps - not try to build a hedge fund in a single prompt
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AdiiX
AdiiX@adiix_official·
THE BEST WEATHER BOT ON POLYMARKET FOR COPYTRADING TURNED $25 INTO $12,400 IN A SINGLE TRADE Over the past month, he’s made more than $41,000. And the most surprising part? He focuses only on weather markets nothing else. No complicated setups. No chasing trends. Just one clear strategy that he follows consistently. Most of his trades look the same: - he buys NO positions, usually putting in anywhere from $100 up to $1,200, at prices between 94c and 98c. It may seem small, but that’s the point. By doing this, he minimizes risk while steadily locking in profits. Trade after trade, the gains add up and his PnL keeps growing. Check out his choices below and see for yourself: @coldmath?r=ecosystem" target="_blank" rel="nofollow noopener">polymarket.com/@coldmath?r=ec… You can copy him via Ares: ares.pro/wallets/0x594e…
AdiiX@adiix_official

x.com/i/article/2041…

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Aleiah
Aleiah@AleiahLock·
>Close your laptop on Friday >Leave $2,000 running on a Claude-built Polymarket bot > Open it Monday morning > $2,000 → $9,300 > The bot was scalping 5-minute BTC Up/Down markets the entire weekend. > 15 minutes to set up. > Zero babysitting. > Pure edge. > Welcome to 2026.
Aleiah@AleiahLock

x.com/i/article/2042…

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Recogard
Recogard@recogard·
I found 5 free ready to use GitHub repositories for trading on Polymarket… Everything you need to automate and make your trading easier. 1. A huge collection of more than 100 useful tools and services for Polymarket - from educational resources and trading bots to alerts, analytical dashboards and even AI agents. GitHub: github.com/aarora4/Awesom… 2. This tool collects and analyzes the full trading history of any existing wallet on Polymarket. It exports data to CSV and provides detailed visualizations with charts. GitHub: github.com/txbabaxyz/coll… 3. AI trading server that lets Claude connect directly to Polymarket. It can monitor all markets, analyze price movements and give you some suggestions or hints on how to behave in the current market situation. You can even connect it to your own account and let it trade for u. GitHub: github.com/caiovicentino/… The last two - the largest and the most powerful ones, I already explained in detail in my post below…
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Recogard@recogard

36 GB of real analytical data based on over 72 million Polymarket trades is available on GitHub and its absolutely free… This is the largest public prediction market dataset I have ever found. Here is how you can actually use it for trading on Polymarket, with a real example: This tool allows you to create your own strategies based on real historical market data. For example, u can analyze how typically prices behave right before the market resolves or right after it opens. You can also explore which market categories are more volatile than others, or find patterns in price movement that repeat over time. Now lets imagine - u have already analyzed a huge number of trades using this tool and noticed a pattern. For example, in movie markets u discovered that they are less volatile and usually have a clear winner right from the start (with the highest % probability) - this is just a simple example. And after that, you can use the second tool from GitHub - a working simulator built on this exact dataset. This simulator takes all past markets, analyzes their behaviour from open to close and applies your own strategy to them. As a result, it calculates the potential accuracy, pnl and risks as if u had actually made all these trades yourself. So, you take your strategy - Always buy the most probable outcome at market open only in movie markets. And the simulator tests this strategy across all existing past movie markets and gives u the success rate of this strategy. Based on that, you have a chance to decide whether its actually worth using. This way, you can test hundreds of such strategies without risking any real money at all, see their average performance and choose the best one for yourself or for your trading bot. If this post gets enough likes, I will run a real test of these two repos with proof and a detailed breakdown of how everything works. Here are these two repositories: 1. 36 GB dataset (also read the research paper from the dev): github.com/jon-becker/pre… 2. The simulator: github.com/evan-kolberg/p…

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Gorynich☄️
Gorynich☄️@Kropanchik·
The dumbest strategy on Polymarket Buy contracts at 1 cent Hold Do nothing This month alone - $700,000 Full strategy: @0xde17f7144fbd0eddb2679132c10ff5e74b120988-1772205225932?tab=positions&r=kropanchik#kyI10Ox" target="_blank" rel="nofollow noopener">polymarket.com/@0xde17f7144fb… 94% of positions go to zero But one win pays 99x One hit covers 98 losses I wrote about this wallet before anyone was talking about it The strategy hasn't changed The number has There are dozens of wallets running the same edge right now Most people find them after the money is made Find them here before they become popular: ratio.you/r/H8KPKMBB How many 1 cent contracts did you scroll past today?
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Paone@paonx_eth

x.com/i/article/2041…

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看不懂的SOL
看不懂的SOL@DtDt666·
给兄弟们分享,10个可用于Polymarket交易的免费GitHub开源项目 全部免费,可帮你实现交易自动化 1. 预测市场回测框架:github.com/evan-kolberg/p… 基于Polymarket与Kalshi真实历史数据,回测交易策略 2. 多智能体交易框架:github.com/TauricResearch… 快速搭建完整的AI交易系统 3. 近30天舆情研究工具:github.com/mvanhorn/last3… 自动分析过去30天新闻、社交动态与预测市场数据 4. Polymarket辅助交易工具:github.com/FiatFiorino/po… 提供市场趋势指标,辅助判断行情方向 5. 网页数据清洗工具:github.com/firecrawl/fire… 将任意网页转换为干净可用的结构化数据 6. 生产级AI智能体框架:github.com/pydantic/pydan… 用于搭建可上线运行的交易机器人 7. 工作流自动化平台:github.com/n8n-io/n8n 用于新闻分析、信息筛选与自动化流程搭建 8. Tavily MCP服务端:github.com/tavily-ai/tavi… 内置专业检索能力的AI搜索服务(原文链接补全) 9. 钱包数据采集与分析器:github.com/txbabaxyz/coll… 抓取任意钱包的完整交易历史并进行分析 10. 币安数据采集与预测工具:github.com/txbabaxyz/mlmo… 预测市场走势,计算资产合理估值 全部安全,并且完全免费兄弟们
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Suresh retweetledi
magsimich
magsimich@magsimich·
An easy way to earn $100 a day Most people think prediction markets are just gambling That's not true Polymarket's 5-minute BTC Up/Down contracts have a structure, and structure means an edge 288 markets per day, one every 5 minutes, 24 hours Here's how the bot turns that into $100 a day: 1. Scalp - Workhorse > Buy at $0.92 -> Sell at $0.97 > +5.4% per trade in 1-3 minutes > Stop loss at $0.88 > Win rate of 65-70% > 6-8 trades per day = $65-87 2. Reversal - Asymmetric Kicker > Buy at $0.01 on low-volatility days > Hold until resolution > One reversal = 100x > You only need this to happen 2% of the time instead of 1% - already positive EV > Fixed price of $10 per trade, maximum 5 open positions at a time 3. Market Maker - Highest Risk > First 60 seconds of a new market > Place limit buys at $0.49 as Both up and down > When both sides are filled, sell at $0.51 > Spread 2 cents = $4 per cycle > If only one side is filled, you're holding a directional position you didn't plan to open > Strict bankroll limits, cancel the unfilled side after 30 seconds All three work in parallel in one bot: > 0-60 sec - Market Maker > 60-240 sec - Scalping > Anytime - Reversal is filtered by volatility Target: $100 per day in regular, low-volatility sessions Not guaranteed every day - the reversal strategy itself has high variance Weekly smoothing allows for an average value
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StacyOnChain@stacyonchain

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