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🚨DATA: WHALE ACTIVITY ON LINK INTENSIFIES AMID ALTS WEAKNESS On-chain data shows whale activity on $LINK is sharply intensifying. Top 10 daily outflow transactions on Binance have spiked twice, with over 8,000 LINK pulled in a single day, according to CryptoQuant analyst Darkfost. Monthly average outflows from the top...

12,084 次观看 • 5 个月前 •via X (Twitter)

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We're excited to announce the launch of the Chainlink Reserve, a new upgrade centered on the creation of a strategic onchain reserve of LINK tokens. The Chainlink Reserve is designed to support the long-term growth and sustainability of the Chainlink Network by accumulating LINK tokens using offchain revenue from large enterprises that are adopting the Chainlink standard and from onchain service usage. The Chainlink Reserve is being built up by using Payment Abstraction to convert offchain and onchain revenue into LINK, using a combination of Chainlink services and decentralized exchange infrastructure. Demand for Chainlink has already created hundreds of millions of dollars in revenue, substantially from large enterprises that have paid offchain for access to the Chainlink Platform. With increasing demand from a number of the world’s largest banking and capital markets institutions, this form of paying for the Chainlink standard is expected to grow into the future as the industry grows. The Reserve has already accumulated over $1M worth of LINK from this early stage launch phase, which is expected to gradually grow in the coming months as more revenue is converted into LINK and placed into the Reserve. We do not expect any withdrawals from the Reserve for multiple years and thus it is expected to grow over time. We believe that as the industry demand for Chainlink’s unique capabilities increases, that adoption of Chainlink services will enable the Reserve to grow further. 🧵👇

Chainlink

4,945,865 次观看 • 1 年前

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

19,955 次观看 • 4 个月前

PSA: $NAM Airdrop 🪂 - only a few hours left ➡️Claim closes on: 12th of Jan 2024, at 9am ➡️ The _ONLY_ place to claim ➡️Allocations have been adjusted recently - check if you have claimed to see if your number went up! ➡️US is sadly geoblocked 🔸Eligibility and How to Claim reminder ➡️ $OSMO snapshot: mainnet block 12146298 ➡️ $ATOM snapshots: block 17660694 (the last blocks before 1st of November 2023). To be eligible you need to have at least $100 USD staked ➡️In $OSMO: 280 $OSMO ➡️In $ATOM: 12.786667 $ATOM Beyond staking every account gets an Activity Score. The TLDR; of this scoring method is that it measures the engagement of the account on a decentralized network. The specific framework used in the RPGF Drop is an adaptation from Trusta AI ' Media Score, and was first introduced by Celestia on the Genesis Drop. Based on the mechanism, the score can be a minimum of 1.5 and a maximum of 15. The Activity Score is a points system that takes into account activity such as transactions, ibc transfers, the value of transactions, months active, etc. (the scoring details are linked in the announcement). The maximum points you can get on the Activity Score is 15. To determine the tier, the amount staked at the time is multiplied by the Activity Score. Then all eligible accounts are ranked by highest value to lowest and grouped into tiers: top 10%, 50-90%, and 0-50% ➡️Source: MEDIA SCORE as the Infrastructure for On-chain User Value Assessment: 🔸How to claim $NAM airdrop ➡️Get Namada Wallet Extension ➡️Go to ➡️Connect Wallet $ATOM $OSMO $STARS ➡️Connect $NAM Extension ➡️CLAIM $NAM ➡️Repeat for any additional chains / wallets 🔸Looking for an easy and super clear "how to claim video"? @L1am_Crypto & Stakecito Labs to the rescue 🫡 🔸$NAM airdrop beraindex overview: 🔸Stake $ATOM with our sponsor, Enigma , and don't miss out on future Airdrops 🥩 $ATOM 🫡

Grey Ledger

60,319 次观看 • 2 年前