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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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I turned $120 into $5,700 on copy trading just in 5 day Wallet that I copied I will send below Btw this Polymarket CLAUDE BOT turned $13 into $60,000 But first before starting to copy trading it read the whole post it is important The main rules of successful copytrading: - speed - correct setup - wallets you follow Fast transactions lead to better results I spent 2 weeks testing different copy trading strategies and spent a lot of money And found the best solution for you. ARES is faster, more secure, and easier to use than any other TG bot. Only with the help of this tool was I able to start earning If you’re interested in the settings I used to copy this bot, just leave a comment and like. I’ll send them to you in DM The wallet I copied:
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I turned $120 into $5,700 on copy trading just in 5 day Wallet that I copied I will send below Btw this Polymarket CLAUDE BOT turned $13 into $60,000 But first before starting to copy trading it read the whole post it is important The main rules of successful copytrading: - speed - correct setup - wallets you follow Fast transactions lead to better results I spent 2 weeks testing different copy trading strategies and spent a lot of money And found the best solution for you. ARES is faster, more secure, and easier to use than any other TG bot. Only with the help of this tool was I able to start earning If you’re interested in the settings I used to copy this bot, just leave a comment and like. I’ll send them to you in DM The wallet I copied:

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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!

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