UK's National Crime-Fighting Agency Seeks Six Crypto Investigators

CoinDeskPolicyPubblicato 2023-11-01Pubblicato ultima volta 2023-11-02

Introduzione

A crime bill passed last week gives law enforcement agencies more powers to seize and freeze crypto.

The U.K.'s National Crime Agency (NCA) is setting up a team for cybercrime and is looking to recruit six specialist crypto investigators.

"This role will be part of a new project that will form a specialised cryptocurrency and virtual assets team," the job posting said. An ideal candidate will need to understand crypto and be able to conduct advanced tracing on blockchains as well as understand crypto investigations.

The U.K. has been beefing up its tools for tackling crypto crime. Parliament last week passed a bill giving law-enforcement agencies more powers to seize and freeze crypto. The new positions follow an initiative last year that saw the National Police Chiefs' Council (NPCC) station crypto tactical advisers in police departments nationwide.

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A D V E R T I S E M E N T

"The role will support existing and new investigations where specialist cryptocurrency experience is required along with taking a proactive lead in identifying targets for further development," the posting said. The job will sit within the National Cyber Crime Unit or digital asset team.

Edited by Sheldon Reback.


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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

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