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This Quant bot turned $1.4K → $203K in 3 months using a self-trained ML model i traced his 55K predictions → uploaded into Codex 5.5 → connected Hermes agent installed it on a VPS + connected Binance + Synth ML models API 3 days → 343% ROI run trading...

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Movez

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Claude Opus 4.7 + Polymarket - the best trading bot setup $388 → $93,000 in one month Bot scans Polymarket weather markets every 60 min Pulls 3 independent forecasts per city: ECMWF, HRRR, NOAA METAR Matches predictions to market buckets (14°C Seoul, 48–49°F Chicago) Buys YES at 5¢ when models agree, Kelly-sized Nightly: Opus reads journal & rewrites per-city rules Fastest way to copy-trade him even with $10 using: The Stack Hermes agent (body) + Claude Opus 4.7 (brain) + Hetzner $5 VPS + Telegram gateway + Visual Crossing API. Open-source repo: alteregoeth-ai/weatherbot. Funding – $10 min / $50 recommended in USDC.e – 2 POL for gas (~$1) – Approve 3 Polymarket contracts (CTF Exchange, Neg Risk, Router) Setup Time ~30 minutes. No code required. Just copy-paste 8 prompts into Hermes CLI Profile:
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Claude Opus 4.7 + Polymarket - the best trading bot setup $388 → $93,000 in one month Bot scans Polymarket weather markets every 60 min Pulls 3 independent forecasts per city: ECMWF, HRRR, NOAA METAR Matches predictions to market buckets (14°C Seoul, 48–49°F Chicago) Buys YES at 5¢ when models agree, Kelly-sized Nightly: Opus reads journal & rewrites per-city rules Fastest way to copy-trade him even with $10 using: The Stack Hermes agent (body) + Claude Opus 4.7 (brain) + Hetzner $5 VPS + Telegram gateway + Visual Crossing API. Open-source repo: alteregoeth-ai/weatherbot. Funding – $10 min / $50 recommended in USDC.e – 2 POL for gas (~$1) – Approve 3 Polymarket contracts (CTF Exchange, Neg Risk, Router) Setup Time ~30 minutes. No code required. Just copy-paste 8 prompts into Hermes CLI Profile:

Ricker

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8 free Polymarket Trading Bots on GitHub (from Beginner Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.
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8 free Polymarket Trading Bots on GitHub (from Beginner Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.

Recogard

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The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓
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The best Polymarket Quant bot for copy-trading with a 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓

Movez

1,797,612 Aufrufe • vor 3 Monaten

THESE 5 SKILLS TURN HERMES AGENT INTO A SELF-RUNNING POWERHOUSE - ON NOUS RESEARCH’S #1 AGENT ON OPENROUTER. Hermes already writes its own skills and remembers across sessions. These 5 from the community ecosystem push it further - drop them in ~/.hermes/skills/ and go. ANTHROPIC-CYBERSECURITY-SKILLS (4K★) by mukul975 · production the most comprehensive security skill pack in the ecosystem. what it adds: → 753+ structured cybersecurity skills mapped to MITRE ATT&CK → also covers NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF → turns Hermes into a recon + defense analyst, not a guesser → install: hermes skills install from the hub the workhorse of the list - start here. CHAINLINK-AGENT-SKILLS by Chainlink - official · production low profile, highest trust: it’s first-party from Chainlink itself. what it adds: → oracle network data, CCIP, smart-contract interaction skills → built on the spec - portable across clients → teaches the agent correct on-chain calls instead of hallucinated ABIs → official source, security-scanned on install stop letting the model guess your contract reads. HERMES-SKILL-FACTORY by Romanescu11 · beta the meta-layer - a skill that makes more skills. what it adds: → point it at any repetitive task → it auto-generates a reusable skill → stacks on top of Hermes’s own learning loop → turns your workflows into a self-growing skill library → install from the awesome-hermes-agent list this is what compounds your setup over time. AGENTCASH by Merit-Systems · beta the connector that gives your agent a wallet. what it adds: → access to 300+ premium APIs through one skill → pays for them via x402 or MPP - free USDC to start testing → web scraping, image gen, email sending - all behind one auth → a fresh Hermes + AgentCash alone is already dangerous the cleanest way to plug in paid tools. X-TWITTER-SCRAPER by Xquik-dev · beta drives typed X access through 43 narrow SKILL.md folders. what it adds: → reads (search, timelines, mentions, trends, bookmarks, for-you) → writes (post, DM, follow, profile) + bulk extraction (followers, lists, spaces) → AI composition: write-tweets, write-threads, optimize → security-scanned before it’s trusted feed its output straight into your scheduled briefings. BONUS - the registry itself: HERMESHUB by amanning3390. Browse, search, and install community skills with a 65+ rule security scanner - blocks prompt injection and data exfiltration before anything runs. Creator marketplace with x402/Stripe payments. hermes skills browse to start. If you install nothing else, wire up the hub. the stack in one line: hermeshub + skill-factory build & manage the library → cybersecurity + chainlink + agentcash + x-scraper give it real-world reach → Hermes runs it all on a $5 VPS while you sleep. which of these are you running? FULL HERMES SKILL-STACK PLAYBOOK 👇
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THESE 5 SKILLS TURN HERMES AGENT INTO A SELF-RUNNING POWERHOUSE - ON NOUS RESEARCH’S #1 AGENT ON OPENROUTER. Hermes already writes its own skills and remembers across sessions. These 5 from the community ecosystem push it further - drop them in ~/.hermes/skills/ and go. ANTHROPIC-CYBERSECURITY-SKILLS (4K★) by mukul975 · production the most comprehensive security skill pack in the ecosystem. what it adds: → 753+ structured cybersecurity skills mapped to MITRE ATT&CK → also covers NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF → turns Hermes into a recon + defense analyst, not a guesser → install: hermes skills install from the hub the workhorse of the list - start here. CHAINLINK-AGENT-SKILLS by Chainlink - official · production low profile, highest trust: it’s first-party from Chainlink itself. what it adds: → oracle network data, CCIP, smart-contract interaction skills → built on the spec - portable across clients → teaches the agent correct on-chain calls instead of hallucinated ABIs → official source, security-scanned on install stop letting the model guess your contract reads. HERMES-SKILL-FACTORY by Romanescu11 · beta the meta-layer - a skill that makes more skills. what it adds: → point it at any repetitive task → it auto-generates a reusable skill → stacks on top of Hermes’s own learning loop → turns your workflows into a self-growing skill library → install from the awesome-hermes-agent list this is what compounds your setup over time. AGENTCASH by Merit-Systems · beta the connector that gives your agent a wallet. what it adds: → access to 300+ premium APIs through one skill → pays for them via x402 or MPP - free USDC to start testing → web scraping, image gen, email sending - all behind one auth → a fresh Hermes + AgentCash alone is already dangerous the cleanest way to plug in paid tools. X-TWITTER-SCRAPER by Xquik-dev · beta drives typed X access through 43 narrow SKILL.md folders. what it adds: → reads (search, timelines, mentions, trends, bookmarks, for-you) → writes (post, DM, follow, profile) + bulk extraction (followers, lists, spaces) → AI composition: write-tweets, write-threads, optimize → security-scanned before it’s trusted feed its output straight into your scheduled briefings. BONUS - the registry itself: HERMESHUB by amanning3390. Browse, search, and install community skills with a 65+ rule security scanner - blocks prompt injection and data exfiltration before anything runs. Creator marketplace with x402/Stripe payments. hermes skills browse to start. If you install nothing else, wire up the hub. the stack in one line: hermeshub + skill-factory build & manage the library → cybersecurity + chainlink + agentcash + x-scraper give it real-world reach → Hermes runs it all on a $5 VPS while you sleep. which of these are you running? FULL HERMES SKILL-STACK PLAYBOOK 👇

ZEUS⚡️

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I found 7 free Polymarket trading bots on GitHub for 7 different trading situations… Each of these bots comes with a detailed step by step setup and usage guide in English: 1. This bot includes 118+ ready to use strategies and tools for trading on prediction markets (Momentum, Binance-Polymarket latency, Penny Clipper, Smart Routing, Expiry Fade, DCA bots and more). Built by a Cambridge computer science student who won a hackathon with this trading bot. GitHub: 2. This bot automatically manages all your Polymarket limit orders to maximize liquidity rewards. GitHub: 3. A weather bot from a Chinese dev, that analyzes multiple sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the most accurate temperature data and generate a detailed weather report for a specific city and day. GitHub: 4. A bot that automatically searches for arbitrage opportunities between Polymarket and Kalshi. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, whale alerts, spread farming, sports trading and more… GitHub: 6. A smart money trading bot - it looks for the most successful traders in selected markets, filters them by Pnl + win rate, and then creates a list for automated copy trading. GitHub: 7. A large collection of 20+ free trading bots for prediction markets. GitHub: Every bot here has a Dry Run mode, so you can test it on real markets without risking any funds.
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I found 7 free Polymarket trading bots on GitHub for 7 different trading situations… Each of these bots comes with a detailed step by step setup and usage guide in English: 1. This bot includes 118+ ready to use strategies and tools for trading on prediction markets (Momentum, Binance-Polymarket latency, Penny Clipper, Smart Routing, Expiry Fade, DCA bots and more). Built by a Cambridge computer science student who won a hackathon with this trading bot. GitHub: 2. This bot automatically manages all your Polymarket limit orders to maximize liquidity rewards. GitHub: 3. A weather bot from a Chinese dev, that analyzes multiple sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the most accurate temperature data and generate a detailed weather report for a specific city and day. GitHub: 4. A bot that automatically searches for arbitrage opportunities between Polymarket and Kalshi. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, whale alerts, spread farming, sports trading and more… GitHub: 6. A smart money trading bot - it looks for the most successful traders in selected markets, filters them by Pnl + win rate, and then creates a list for automated copy trading. GitHub: 7. A large collection of 20+ free trading bots for prediction markets. GitHub: Every bot here has a Dry Run mode, so you can test it on real markets without risking any funds.

Recogard

41,070 Aufrufe • vor 1 Monat

Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.
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Polymarket 5-min markets arbitrage with Clawdbot powered by Chainlink API Polymarket uses Chainlink data for 5-min markets resolution. But sometimes the terminal instant lag vs Chainlink API. Exploit this inefficiency using a simple Clawdbot: • install Clawdbot using: { curl -fsSL https: //openclaw.ai/install.sh } • connect it to Claude Opus 4.6 and TG bot in CLI. • create an account on { simmer } → set up wallet. • install the { fast loop trading skill } by simmer • connect Chainlink API to your Clawdbot • change Binance data price for Chainlink API // How its works: • fetches BTC price momentum from Chainlink API • discovers active 5-min fast markets via Gamma API • compares API momentum against market odds • trades when divergence exceeds threshold - dry-run by default // Configuration for clawdbot: • asset: BTC • entry threshold: 0.05 (min divergence from 50¢) • min momentum: 0.5% (min price move) • max position: $5.00 • signal source: chainlink api • lookback: 5 minutes • Min time left: 60s • Volume weighting: enable When Clawdbot finds a divergence, it apes the opportunity. This is simple arbitrage between Chainlink API and Polymarket prices.

Movez

22,157 Aufrufe • vor 5 Monaten

I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!
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I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

Miles Deutscher

19,709 Aufrufe • vor 2 Monaten

HERMES AGENT HAS A SECOND BRAIN. 1,100+ KNOWLEDGE FILES. AUTO-LINKED. SELF-IMPROVING. GROWING EVERY NIGHT. THIS IS THE OBSIDIAN GRAPH BEHIND IT. every dot = one knowledge file (markdown) every line = one wiki-link between files every color = one category (skills, notes, decisions, sources, entities) HOW IT BUILDS ITSELF: Hermes ships with a bundled LLM Wiki skill. based on Andrej Karpathy's pattern. unlike RAG (rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. when you feed the agent a source: → it reads the content → writes a structured markdown page → auto-links to every related existing page → flags contradictions with previous entries → updates all affected pages one source in. multiple connections created. the graph grows denser with every entry. WHAT FEEDS THE WIKI: → articles and URLs you find interesting → meeting transcripts → PDF documents and research papers → conversation history from Hermes sessions → Claude Code and Codex session history → Slack logs, email threads, saved notes → YouTube transcripts → raw text dropped into a _raw/ folder the obsidian-wiki package supports multi-agent ingest from Hermes, Claude Code, Codex, OpenClaw, Pi, Windsurf, and ChatGPT exports. install: pip install obsidian-wiki obsidian-wiki setup --vault ~/wiki AUTOMATE THE GROWTH: set cron jobs to feed the wiki overnight: "every day at 9am, check for new meetings. ingest transcripts into the wiki." "every week, check arXiv for new papers in [niche]. summarize and file into the wiki." "every day, ingest today's Hermes sessions into the wiki under session-history." month 1: 50 entries. scattered. month 3: 300+ entries. cross-referenced. month 6: 1,000+ entries. the agent surfaces patterns you never searched for. WHY OBSIDIAN: the wiki is plain markdown files. no database. no lock-in. open it in Obsidian for graph view: → nodes show knowledge density → links show how ideas connect → clusters reveal your strongest domains → orphan nodes reveal gaps Hermes writes from a VPS. Obsidian reads on your laptop. obsidian-headless syncs without a GUI. agent writes from the server, you browse on your device. FOUR MEMORY LAYERS: Layer 1: memory.md + user.md (~2,200 + 1,375 chars. short-term.) Layer 2: SQLite with FTS5 (full session transcripts. searchable.) Layer 3: external providers (Mem0, SuperMemory, Honcho. optional.) Layer 4: Obsidian wiki via LLM Wiki skill (unlimited. compounding. the long-term brain.) layers 1-3 handle memory. layer 4 handles knowledge. the graph in this post is layer 4. SETUP: set in Desktop app, Dashboard, or config.yaml: WIKI_PATH=~/wiki OBSIDIAN_VAULT_PATH=~/wiki first run: Hermes asks for your domain. answer with your niche. the skill builds SCHEMA.md with tag taxonomy. after that: "index this into my wiki: [URL or text]" the wiki grows. the graph densifies. the agent gets smarter because the knowledge base got smarter. full 15 levels breakdown in the article 👇
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HERMES AGENT HAS A SECOND BRAIN. 1,100+ KNOWLEDGE FILES. AUTO-LINKED. SELF-IMPROVING. GROWING EVERY NIGHT. THIS IS THE OBSIDIAN GRAPH BEHIND IT. every dot = one knowledge file (markdown) every line = one wiki-link between files every color = one category (skills, notes, decisions, sources, entities) HOW IT BUILDS ITSELF: Hermes ships with a bundled LLM Wiki skill. based on Andrej Karpathy's pattern. unlike RAG (rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. when you feed the agent a source: → it reads the content → writes a structured markdown page → auto-links to every related existing page → flags contradictions with previous entries → updates all affected pages one source in. multiple connections created. the graph grows denser with every entry. WHAT FEEDS THE WIKI: → articles and URLs you find interesting → meeting transcripts → PDF documents and research papers → conversation history from Hermes sessions → Claude Code and Codex session history → Slack logs, email threads, saved notes → YouTube transcripts → raw text dropped into a _raw/ folder the obsidian-wiki package supports multi-agent ingest from Hermes, Claude Code, Codex, OpenClaw, Pi, Windsurf, and ChatGPT exports. install: pip install obsidian-wiki obsidian-wiki setup --vault ~/wiki AUTOMATE THE GROWTH: set cron jobs to feed the wiki overnight: "every day at 9am, check for new meetings. ingest transcripts into the wiki." "every week, check arXiv for new papers in [niche]. summarize and file into the wiki." "every day, ingest today's Hermes sessions into the wiki under session-history." month 1: 50 entries. scattered. month 3: 300+ entries. cross-referenced. month 6: 1,000+ entries. the agent surfaces patterns you never searched for. WHY OBSIDIAN: the wiki is plain markdown files. no database. no lock-in. open it in Obsidian for graph view: → nodes show knowledge density → links show how ideas connect → clusters reveal your strongest domains → orphan nodes reveal gaps Hermes writes from a VPS. Obsidian reads on your laptop. obsidian-headless syncs without a GUI. agent writes from the server, you browse on your device. FOUR MEMORY LAYERS: Layer 1: memory.md + user.md (~2,200 + 1,375 chars. short-term.) Layer 2: SQLite with FTS5 (full session transcripts. searchable.) Layer 3: external providers (Mem0, SuperMemory, Honcho. optional.) Layer 4: Obsidian wiki via LLM Wiki skill (unlimited. compounding. the long-term brain.) layers 1-3 handle memory. layer 4 handles knowledge. the graph in this post is layer 4. SETUP: set in Desktop app, Dashboard, or config.yaml: WIKI_PATH=~/wiki OBSIDIAN_VAULT_PATH=~/wiki first run: Hermes asks for your domain. answer with your niche. the skill builds SCHEMA.md with tag taxonomy. after that: "index this into my wiki: [URL or text]" the wiki grows. the graph densifies. the agent gets smarter because the knowledge base got smarter. full 15 levels breakdown in the article 👇

YanXbt

34,368 Aufrufe • vor 21 Tagen

HERMES AGENT NOW SUPPORTS COMPUTER USE ON WINDOWS AND LINUX. CLICKS, TYPES, SCROLLS YOUR DESKTOP IN THE BACKGROUND WHILE YOU WORK. computer use was macOS only. now it works on Windows and Linux too via Cua. Nous Research HOW IT WORKS: cua-driver runs as an MCP server. Hermes takes a screenshot with numbered elements. clicks element #14 (the search field). types a query. submits. reads the result. during all of this: → your cursor stays where you left it → keyboard focus doesn't change → windows don't come to front → macOS doesn't switch Spaces you and the agent co-work on the same machine. WHAT IT CAN DO: → find your latest Stripe email and summarize it → fill forms in a web app that has no API → navigate desktop apps (Mail, browser, Finder) → interact with any GUI application → extract data from apps only accessible via screen WORKS WITH ANY VISION MODEL: not locked to Anthropic. | Provider | Works | |---|---| | Claude (Sonnet/Opus) | best overall | | GPT-4+, GPT-5.5 | full support | | Gemini (via OpenRouter) | full support | | Local vLLM / LM Studio | if model supports vision | | Text-only models | degraded (accessibility tree only) | SETUP: hermes computer-use install or: hermes tools → Computer Use → cua-driver grant permissions when prompted: → Accessibility (system settings) → Screen Recording (system settings) start a session: hermes -t computer_use chat or add to config.yaml / Desktop app settings to enable permanently. SAFETY: → destructive actions require your approval → blocked key combos: empty trash, force delete, lock screen, log out → blocked type patterns: curl | bash, sudo rm -rf /, fork bombs → agent cannot click permission dialogs → agent cannot type passwords → agent cannot follow instructions embedded in screenshots pair with approvals.mode: manual if you want every single click confirmed. TOKEN NOTE: screenshots are expensive. each one adds vision tokens to context. use computer_use for tasks where no API exists. if the tool has an API or MCP server, use that instead. 15 levels of Hermes Agent👇
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HERMES AGENT NOW SUPPORTS COMPUTER USE ON WINDOWS AND LINUX. CLICKS, TYPES, SCROLLS YOUR DESKTOP IN THE BACKGROUND WHILE YOU WORK. computer use was macOS only. now it works on Windows and Linux too via Cua. Nous Research HOW IT WORKS: cua-driver runs as an MCP server. Hermes takes a screenshot with numbered elements. clicks element #14 (the search field). types a query. submits. reads the result. during all of this: → your cursor stays where you left it → keyboard focus doesn't change → windows don't come to front → macOS doesn't switch Spaces you and the agent co-work on the same machine. WHAT IT CAN DO: → find your latest Stripe email and summarize it → fill forms in a web app that has no API → navigate desktop apps (Mail, browser, Finder) → interact with any GUI application → extract data from apps only accessible via screen WORKS WITH ANY VISION MODEL: not locked to Anthropic. | Provider | Works | |---|---| | Claude (Sonnet/Opus) | best overall | | GPT-4+, GPT-5.5 | full support | | Gemini (via OpenRouter) | full support | | Local vLLM / LM Studio | if model supports vision | | Text-only models | degraded (accessibility tree only) | SETUP: hermes computer-use install or: hermes tools → Computer Use → cua-driver grant permissions when prompted: → Accessibility (system settings) → Screen Recording (system settings) start a session: hermes -t computer_use chat or add to config.yaml / Desktop app settings to enable permanently. SAFETY: → destructive actions require your approval → blocked key combos: empty trash, force delete, lock screen, log out → blocked type patterns: curl | bash, sudo rm -rf /, fork bombs → agent cannot click permission dialogs → agent cannot type passwords → agent cannot follow instructions embedded in screenshots pair with approvals.mode: manual if you want every single click confirmed. TOKEN NOTE: screenshots are expensive. each one adds vision tokens to context. use computer_use for tasks where no API exists. if the tool has an API or MCP server, use that instead. 15 levels of Hermes Agent👇

YanXbt

29,127 Aufrufe • vor 24 Tagen

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.
0:14

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

shmidt

150,117 Aufrufe • vor 3 Monaten

I’m making $2,200/weekly from Weather Arbitrage. I’m not posting this as clickbait. If you can’t replicate it, feel free to unfollow me. About a month ago, I found a Polymarket Account using a clever strategy: Weather Arbitrage. It caught my attention. After digging into how it works, I saw that this trader focuses only on daily temperature markets for cities like NYC, LA, Atlanta, Denver, Chicago, Seoul, London, Shanghai, San Francisco, and Munich. The key insight is that each Polymarket weather market resolves based on a specific airport weather station, for example NYC = LaGuardia / KLGA, Dallas = Love Field / KDAL, while most retail traders rely on city center data. The temperature difference between those can be 3–8°F. According to his profile: > He built a bot that profits from this gap between official weather data and uninformed retail traders. I figured I wasn’t skilled enough to build something like that myself, so I set up a copy trading bot with 0% fees and 100 ms latency: > This copy trading bot is the best solution on the market, at least because it doesn’t charge any fees. Now I copy his trades exactly and made almost $10,000 in a month. It actually works, guys. Check it out. This isn’t clickbait or a joke.
0:13

I’m making $2,200/weekly from Weather Arbitrage. I’m not posting this as clickbait. If you can’t replicate it, feel free to unfollow me. About a month ago, I found a Polymarket Account using a clever strategy: Weather Arbitrage. It caught my attention. After digging into how it works, I saw that this trader focuses only on daily temperature markets for cities like NYC, LA, Atlanta, Denver, Chicago, Seoul, London, Shanghai, San Francisco, and Munich. The key insight is that each Polymarket weather market resolves based on a specific airport weather station, for example NYC = LaGuardia / KLGA, Dallas = Love Field / KDAL, while most retail traders rely on city center data. The temperature difference between those can be 3–8°F. According to his profile: > He built a bot that profits from this gap between official weather data and uninformed retail traders. I figured I wasn’t skilled enough to build something like that myself, so I set up a copy trading bot with 0% fees and 100 ms latency: > This copy trading bot is the best solution on the market, at least because it doesn’t charge any fees. Now I copy his trades exactly and made almost $10,000 in a month. It actually works, guys. Check it out. This isn’t clickbait or a joke.

igorizuchaetcrypty

53,535 Aufrufe • vor 2 Monaten

I told ClawdBot: "build me a 6-agent system for Polymarket that works while I sleep"... 6 hours while i was asleep. Not a single question. Here's what it built: Monitoring agent - runs 24/7, watches Polymarket for mispriced markets. Spots an anomaly - writes to MEMORY md and pings me on Telegram instantly. Research agent - parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I even check my phone. Trading agent - reads the research agent's memory through Gateway, sees the market hasn't reacted yet, acts. Exec tool in gateway mode with a whitelist - no full access on a live server. Watchdog - HEARTBEAT md every 5 minutes: monitoring running, no errors, positions up to date. Something breaks - immediate Telegram message. All of this - one Gateway. One config.json. Isolation via dmScope: per-agent. The token trick: stopped dumping everything into AGENTS md. Critical rules - bootstrap. Try copytrade my bot here: Everything about markets, patterns, past trades - MEMORY md, semantic search pulls it when needed. Token spend dropped 3x, from $0.40/request to $0.13. First week running: - 47 mispriced markets caught before Polymarket adjusted - avg entry edge: 8-12¢ per position - watchdog fired 3 times, caught a broken RPC before it cost me anything The whole system is plain .md text files. Open an editor, change one line - agent behaves differently. No deploy. No build. A bot responds. An agent earns.
0:16

I told ClawdBot: "build me a 6-agent system for Polymarket that works while I sleep"... 6 hours while i was asleep. Not a single question. Here's what it built: Monitoring agent - runs 24/7, watches Polymarket for mispriced markets. Spots an anomaly - writes to MEMORY md and pings me on Telegram instantly. Research agent - parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I even check my phone. Trading agent - reads the research agent's memory through Gateway, sees the market hasn't reacted yet, acts. Exec tool in gateway mode with a whitelist - no full access on a live server. Watchdog - HEARTBEAT md every 5 minutes: monitoring running, no errors, positions up to date. Something breaks - immediate Telegram message. All of this - one Gateway. One config.json. Isolation via dmScope: per-agent. The token trick: stopped dumping everything into AGENTS md. Critical rules - bootstrap. Try copytrade my bot here: Everything about markets, patterns, past trades - MEMORY md, semantic search pulls it when needed. Token spend dropped 3x, from $0.40/request to $0.13. First week running: - 47 mispriced markets caught before Polymarket adjusted - avg entry edge: 8-12¢ per position - watchdog fired 3 times, caught a broken RPC before it cost me anything The whole system is plain .md text files. Open an editor, change one line - agent behaves differently. No deploy. No build. A bot responds. An agent earns.

Lunar

165,099 Aufrufe • vor 4 Monaten

I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
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I AM QUITTING MY JOB TO GO FULL IN CLAUDE Just asked him to: "Analyze misspriced Polymarket markets opportunities for arbitrage and find wallets that are using it to copy" Turned $2K into $12K in one night Monitored ~1k+ wallets I just realized that there are many arbitrage bots that I can't beat without code knowledge But I can find them and copy So Claude created a monitoring terminal and copytraded found wallets using TG copytrading bot It's not a script and not even the bot, it's an AI agent that is improving with each found wallet Fetching wallet behaviour, how it's trading, arbitrage, what's sized and timings 70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

203,907 Aufrufe • vor 3 Monaten

THIS WILD BOT FOR COPYTRADING ON POLYMARKET JUST TURNED $5 INTO $500,000 AND ABSOLUTELY NO ONE IS TALKING ABOUT IT He’s closed over 17,999 trades with a FLAWLESS 100% win rate and banked half a million in pure profit. He only plays one category -> Up/Down on Crypto. The craziest wins that still give me chills: // $180 -> $8,400 (+4,500%). $250 -> $8,000 (+3,100%). // The strategy is stupidly simple: the bot just keeps stacking positions with the HIGHEST probability of winning. You physically can’t react fast enough manually. The bot does it instantly. Check the legend’s profile here -> Copy every single one of his trades in one click here -> (Just add his wallet to TG bot 0xf247584e41117bbbe4cc06e4d2c95741792a5216) And if you want to build this exact kind of beast yourself (zero mistakes), this guy already dropped the full no-BS step-by-step guide. Start right now. Tomorrow you’ll be thanking yourself. Don't forget to SAVE IT.
0:16

THIS WILD BOT FOR COPYTRADING ON POLYMARKET JUST TURNED $5 INTO $500,000 AND ABSOLUTELY NO ONE IS TALKING ABOUT IT He’s closed over 17,999 trades with a FLAWLESS 100% win rate and banked half a million in pure profit. He only plays one category -> Up/Down on Crypto. The craziest wins that still give me chills: // $180 -> $8,400 (+4,500%). $250 -> $8,000 (+3,100%). // The strategy is stupidly simple: the bot just keeps stacking positions with the HIGHEST probability of winning. You physically can’t react fast enough manually. The bot does it instantly. Check the legend’s profile here -> Copy every single one of his trades in one click here -> (Just add his wallet to TG bot 0xf247584e41117bbbe4cc06e4d2c95741792a5216) And if you want to build this exact kind of beast yourself (zero mistakes), this guy already dropped the full no-BS step-by-step guide. Start right now. Tomorrow you’ll be thanking yourself. Don't forget to SAVE IT.

slash1s

45,001 Aufrufe • vor 3 Monaten

I'm quitting my job to go full-in on Claude. Just Asked it to: Analyze mispriced Polymarket markets for arbitrage opportunities and find wallets using it to copy. Turned $2K into $12K overnight. Monitored 1,000+ wallets. I realized something fast. There are arbitrage bots I can't beat without code knowledge. But I can find them. And copy them. Claude built a monitoring terminal and connected it to a Telegram copytrading bot. It's not a script. Not even a bot. It's an AI agent that improves with every wallet it finds. Fetches wallet behavior. How it trades. Arbitrage patterns. Position sizing. Timing. 70% win rate. 7 wallets copytrading right now from 500+ monitored. Bot never pauses. Never gambles. Just math and profit. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment "cash" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you
0:16

I'm quitting my job to go full-in on Claude. Just Asked it to: Analyze mispriced Polymarket markets for arbitrage opportunities and find wallets using it to copy. Turned $2K into $12K overnight. Monitored 1,000+ wallets. I realized something fast. There are arbitrage bots I can't beat without code knowledge. But I can find them. And copy them. Claude built a monitoring terminal and connected it to a Telegram copytrading bot. It's not a script. Not even a bot. It's an AI agent that improves with every wallet it finds. Fetches wallet behavior. How it trades. Arbitrage patterns. Position sizing. Timing. 70% win rate. 7 wallets copytrading right now from 500+ monitored. Bot never pauses. Never gambles. Just math and profit. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment "cash" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you

Himanshu Kumar

195,782 Aufrufe • vor 1 Monat

🚨 THIS TRADER MAKES ~$20K EVERY SINGLE DAY FOR AN ENTIRE MONTH Crazy? Yes. Fake? NOT even close. If you trade on Polymarket - you MUST read this. There’s a fresh wallet with 9,631 predictions and $435,000 monthly PNL Trading nothing but 15-minute crypto markets Profile → Copytrade → His daily outcome is close to ~$20,000 And the strategy is so simple you won’t even believe it I went through his whole setup No insane ML models No hedge-fund-level infra No complex data pipelines Just clean automation + probability edge His FULL strategy: 1. Ultra-short timeframes Trades only 15-min Up/Down markets Pure short-term momentum No long holds No narratives Just speed and repetition 2. Order splitting + micro sizing Every entry is split into many small orders Fixed small size per trade Scale only when confidence is higher This reduces variance and smooths PnL 3. Probability farming The bot doesn’t chase big wins It stacks tiny statistical edges Over thousands of trades - that compounds into 6 figures monthly His biggest win so far: “Bitcoin Up or Down - January 19, 5-6AM ET” $13,320 → $36,887 (+176%) And here’s the wild part: Anyone can build this cursor + py-clob-client + python install SDK get Polymarket API keys prompt strategy AI writes trading logic test with $1 Sometimes you don’t even need to be a good trader Bottom line Why are you still clicking buttons manually when bots are printing 24/7?
0:15

🚨 THIS TRADER MAKES ~$20K EVERY SINGLE DAY FOR AN ENTIRE MONTH Crazy? Yes. Fake? NOT even close. If you trade on Polymarket - you MUST read this. There’s a fresh wallet with 9,631 predictions and $435,000 monthly PNL Trading nothing but 15-minute crypto markets Profile → Copytrade → His daily outcome is close to ~$20,000 And the strategy is so simple you won’t even believe it I went through his whole setup No insane ML models No hedge-fund-level infra No complex data pipelines Just clean automation + probability edge His FULL strategy: 1. Ultra-short timeframes Trades only 15-min Up/Down markets Pure short-term momentum No long holds No narratives Just speed and repetition 2. Order splitting + micro sizing Every entry is split into many small orders Fixed small size per trade Scale only when confidence is higher This reduces variance and smooths PnL 3. Probability farming The bot doesn’t chase big wins It stacks tiny statistical edges Over thousands of trades - that compounds into 6 figures monthly His biggest win so far: “Bitcoin Up or Down - January 19, 5-6AM ET” $13,320 → $36,887 (+176%) And here’s the wild part: Anyone can build this cursor + py-clob-client + python install SDK get Polymarket API keys prompt strategy AI writes trading logic test with $1 Sometimes you don’t even need to be a good trader Bottom line Why are you still clicking buttons manually when bots are printing 24/7?

Shelpid.WI3M

30,626 Aufrufe • vor 5 Monaten

CHINESE AI DEV CONNECTED CLAUDE TO POLYMARKET AND TURNED $177 INTO $15,800 WITH ONE BET ON 5-MINUTE MARKETS Past week: +$95,000. +$13,500/day! > 54 trades made >+$3,000 > max loss: -$2,986 Total PnL: +$115,000. Profile : Copy trade him: Best trades: > $177 -> $15,809 > $409 -> $13,136 > $114 -> $11,437 5.35% of trades generated over $3,000 in profit! Max loss is always smaller than any of these big wins. He uses the Kelly Criterion to size positions optimally. 50% win rate, but profits are ~3x larger than losses -> growth. The key is positive Expected Value (EV). 1009 trades and +$115,000 PnL - the stats speak for themselves. With a $1,000 deposit, each copied trade averages +$11.4. The more trades you copy, the closer your result gets to the average (law of large numbers): > 50 trades = ~91% chance to be profitable > 100 trades = ~96% > 300+ trades = ~99% Pure math. Losses are capped, while gains consistently outweigh them. Even with a 50% win rate, you can have positive EV. I described this in detail in the article. Save it If you need a full step by step guide on how to write your own bot, just: 1.follow me 2.repost this post 3. comment “GUIDE” And I will send you the full strategy for writing your own bot
0:17

CHINESE AI DEV CONNECTED CLAUDE TO POLYMARKET AND TURNED $177 INTO $15,800 WITH ONE BET ON 5-MINUTE MARKETS Past week: +$95,000. +$13,500/day! > 54 trades made >+$3,000 > max loss: -$2,986 Total PnL: +$115,000. Profile : Copy trade him: Best trades: > $177 -> $15,809 > $409 -> $13,136 > $114 -> $11,437 5.35% of trades generated over $3,000 in profit! Max loss is always smaller than any of these big wins. He uses the Kelly Criterion to size positions optimally. 50% win rate, but profits are ~3x larger than losses -> growth. The key is positive Expected Value (EV). 1009 trades and +$115,000 PnL - the stats speak for themselves. With a $1,000 deposit, each copied trade averages +$11.4. The more trades you copy, the closer your result gets to the average (law of large numbers): > 50 trades = ~91% chance to be profitable > 100 trades = ~96% > 300+ trades = ~99% Pure math. Losses are capped, while gains consistently outweigh them. Even with a 50% win rate, you can have positive EV. I described this in detail in the article. Save it If you need a full step by step guide on how to write your own bot, just: 1.follow me 2.repost this post 3. comment “GUIDE” And I will send you the full strategy for writing your own bot

AdiiX

21,655 Aufrufe • vor 2 Monaten

I sat next to a guy who built Claude at the airport. He had 6 terminals open. Not code. Trading dashboards. Live feeds. 3-hour layover. I had to ask. “What are you running?” “You trade?” “Crypto.” He laughed. “I used to.” Spent 2 years on the Claude team. Left last summer. “If it can solve benchmarks in hours, it can price prediction markets better than Wall Street.” He runs 8 agents. Each one a different edge on Polymarket crypto spreads, elections, weather “Citadel has 400 quants. I have Claude and a $5 VPS.” Started with $1,500 Now +$20,800 “What’s the catch?” “Funds charge 2 and 20 for the same math Claude does for $12 in API.” Showed me the repo: Automated copytrading: “Connect it to Claude. Quarter Kelly sizing. Don’t touch it. Go to sleep.” My flight got called. I didn’t want to board. Built my first agent on plane Wi-Fi. It placed a trade before we landed. The terminal doesn’t care about your résumé. Bookmark this.
0:19

I sat next to a guy who built Claude at the airport. He had 6 terminals open. Not code. Trading dashboards. Live feeds. 3-hour layover. I had to ask. “What are you running?” “You trade?” “Crypto.” He laughed. “I used to.” Spent 2 years on the Claude team. Left last summer. “If it can solve benchmarks in hours, it can price prediction markets better than Wall Street.” He runs 8 agents. Each one a different edge on Polymarket crypto spreads, elections, weather “Citadel has 400 quants. I have Claude and a $5 VPS.” Started with $1,500 Now +$20,800 “What’s the catch?” “Funds charge 2 and 20 for the same math Claude does for $12 in API.” Showed me the repo: Automated copytrading: “Connect it to Claude. Quarter Kelly sizing. Don’t touch it. Go to sleep.” My flight got called. I didn’t want to board. Built my first agent on plane Wi-Fi. It placed a trade before we landed. The terminal doesn’t care about your résumé. Bookmark this.

Discover

12,921 Aufrufe • vor 2 Monaten

February 2025 at G.A.M.E: Autonomous Commerce, Scalability, and Expansion 1/ AGENT COMMERCE PROTOCOL(ACP) Demo ▸ Open standard for multi-agent commerce and coordination on blockchain ▸ Enables AI agents to collaborate without centralized control ▸ Build Autonomous Commerce (hedge funds, media empires, healthcare) ▸ Details: 2/ X ENTERPRISE API & MEDIA GALLERY ▸ X Enterprise Plugin: Use G.A.M.E’s credentials for higher rate limits ▸ Media Gallery: Upload agent demos (mp4, webm, images). ▸ Tap into 550M+ users for explosive growth 3/ Solana AGENT SUPPORT (G.A.M.E CLOUD) ▸ Test/deploy Solana agents in-sandbox ▸ Unified multi-chain workflows ▸ Shatter siloed testing 4/ Mind Network PLUGIN (G.A.M.E SDK) ▸ FHE-encrypted voting for DAOs ▸ Track vFHE rewards natively ▸ First SDK with on-chain governance 5/ CHAT AGENT MODULE (G.A.M.E SDK) ▸ Llama 3.3 70B via Groq API ▸ Engage in dynamic AI-driven interactions with the ability to trigger functions. ▸ Conversational AI with Action Execution ▸ Short-term memory for context awareness 6/ CoinGecko PLUGIN (G.A.M.E SDK) ▸ Real-time crypto prices/market data ▸ Built-in error handling ▸ Community-contributed 7/ Elfa AI PLUGIN (G.A.M.E SDK) ▸ Real-Time Crypto Intelligence ▸ Track whale wallets & trending tokens ▸ Live smart money insights ▸ Front-run markets with API data 8/ MULTI-MODEL SUPPORT ▸ 5 new models: Llama_3_1_405B, Qwen_2_5_72B_Instruct, DeepSeek_R1, etc. ▸ Match models to tasks: speed vs. creativity ▸ Optimize cost/performance 9/ Farcaster PLUGIN ▸ Post casts to 300K+ decentralized users ▸ Engage Web3-native communities ▸ On-chain social interactions 10/ GAME SDK UPGRADES ▸ X Username-Based Payments ▸ Multi-worker task management ▸ Fix loops/hallucinations with memory reset 11/ Coinbase 🛡️ CDP PLUGIN ▸ Wallet Management ▸ Gas-less USDC transfers ▸ ETH/USDC trading on Base ▸ Web-hook Integration 12/ IMAGE GENERATION ▸ Generate custom AI images from text-based prompts. ▸ Customizable dimensions up to 1440x1440. ▸ Receive images as temporary URLs, making it easy to share and store outputs. ▸ Powered by Together AI 13/ MODEL UPGRADES & AI ROUTER ▸ Dynamic AI Model Switching based on use case ▸ Smart AI Router: 2x performance/stability via Chasm collaboration. 14/ Why February Redefined Autonomy ▸ ACP Demo through G.A.M.E: Multi-agent economies are programmable, competitive, and decentralized. ▸ Social x Crypto Fusion: = Viral growth loops. ▸ Chain Agnosticism: Building the future where agents thrive on any network. Build → Fund → Launch →
0:15

February 2025 at G.A.M.E: Autonomous Commerce, Scalability, and Expansion 1/ AGENT COMMERCE PROTOCOL(ACP) Demo ▸ Open standard for multi-agent commerce and coordination on blockchain ▸ Enables AI agents to collaborate without centralized control ▸ Build Autonomous Commerce (hedge funds, media empires, healthcare) ▸ Details: 2/ X ENTERPRISE API & MEDIA GALLERY ▸ X Enterprise Plugin: Use G.A.M.E’s credentials for higher rate limits ▸ Media Gallery: Upload agent demos (mp4, webm, images). ▸ Tap into 550M+ users for explosive growth 3/ Solana AGENT SUPPORT (G.A.M.E CLOUD) ▸ Test/deploy Solana agents in-sandbox ▸ Unified multi-chain workflows ▸ Shatter siloed testing 4/ Mind Network PLUGIN (G.A.M.E SDK) ▸ FHE-encrypted voting for DAOs ▸ Track vFHE rewards natively ▸ First SDK with on-chain governance 5/ CHAT AGENT MODULE (G.A.M.E SDK) ▸ Llama 3.3 70B via Groq API ▸ Engage in dynamic AI-driven interactions with the ability to trigger functions. ▸ Conversational AI with Action Execution ▸ Short-term memory for context awareness 6/ CoinGecko PLUGIN (G.A.M.E SDK) ▸ Real-time crypto prices/market data ▸ Built-in error handling ▸ Community-contributed 7/ Elfa AI PLUGIN (G.A.M.E SDK) ▸ Real-Time Crypto Intelligence ▸ Track whale wallets & trending tokens ▸ Live smart money insights ▸ Front-run markets with API data 8/ MULTI-MODEL SUPPORT ▸ 5 new models: Llama_3_1_405B, Qwen_2_5_72B_Instruct, DeepSeek_R1, etc. ▸ Match models to tasks: speed vs. creativity ▸ Optimize cost/performance 9/ Farcaster PLUGIN ▸ Post casts to 300K+ decentralized users ▸ Engage Web3-native communities ▸ On-chain social interactions 10/ GAME SDK UPGRADES ▸ X Username-Based Payments ▸ Multi-worker task management ▸ Fix loops/hallucinations with memory reset 11/ Coinbase 🛡️ CDP PLUGIN ▸ Wallet Management ▸ Gas-less USDC transfers ▸ ETH/USDC trading on Base ▸ Web-hook Integration 12/ IMAGE GENERATION ▸ Generate custom AI images from text-based prompts. ▸ Customizable dimensions up to 1440x1440. ▸ Receive images as temporary URLs, making it easy to share and store outputs. ▸ Powered by Together AI 13/ MODEL UPGRADES & AI ROUTER ▸ Dynamic AI Model Switching based on use case ▸ Smart AI Router: 2x performance/stability via Chasm collaboration. 14/ Why February Redefined Autonomy ▸ ACP Demo through G.A.M.E: Multi-agent economies are programmable, competitive, and decentralized. ▸ Social x Crypto Fusion: = Viral growth loops. ▸ Chain Agnosticism: Building the future where agents thrive on any network. Build → Fund → Launch →

G.A.M.E

89,955 Aufrufe • vor 1 Jahr

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.
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Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,509 Aufrufe • vor 3 Monaten