The Economic Bomb: A Strategic Financial Warfare Tactic

As global financial markets integrate decentralized digital assets, Bitcoin has transitioned from a speculative commodity into a geopolitical economic instrument. This paper introduces the concept of the Economic Bomb (Econ Bomb)—a financial warfare strategy designed to destabilize Bitcoin-dependent economies through institutional short-selling, algorithmic liquidation cascades, and liquidity crises.Drawing on historical financial crises, including Black Wednesday (1992), the Asian Financial Crisis (1997), and the Global Financial Crisis (2008), this study demonstrates how modern financial manipulation techniques—leveraged trading, exchange-traded fund (ETF) liquidity control, and algorithmic trading-based flash crashes—can be used to engineer economic collapse. The research employs empirical econometric models, including volatility clustering analysis, Monte Carlo simulations, and sentiment-driven market response modeling, to quantify the impact of institutional Bitcoin holdings, ETF outflows, and coordinated speculative attacks.Additionally, this paper explores Bitcoin’s role in global power struggles, including its use in de-dollarization efforts, financial sanctions evasion, and the expansion of Central Bank Digital Currencies (CBDCs) as a countermeasure. On-chain forensic analysis provides evidence of whale wallet accumulation patterns, while liquidity data confirms Bitcoin’s structural vulnerabilities as an unregulated financial asset.The findings suggest that Bitcoin’s increasing institutionalization—via ETFs, centralized custodianship, and regulatory compliance measures—has transformed it from a decentralized monetary alternative into a financial instrument susceptible to state-aligned interventions and systemic market control. This paper proposes decentralized custody solutions, liquidity protections, and policy strategies to mitigate Economic Bomb threats and safeguard Bitcoin’s sovereignty.Description: The Economic Bomb: A Strategic Financial Warfare Tactic - DatasetDate: 2025-02-17<br>Type: Available<br>Author: Nicolin Decker<br>Affiliation: Independent<br>Contact: [email protected]<br>This dataset is a comprehensive collection of data used in the doctoral thesis <i>The Economic Bomb: A Strategic Financial Warfare Tacti</i><i>c</i>. It provides empirical evidence demonstrating the impact of coordinated institutional shorting, ETF outflows, whale wallet movements, and media sentiment on Bitcoin’s volatility and price manipulation. The dataset spans from January 2021 to December 2024, covering key market events such as the May 2021 Flash Crash, June 2022 Liquidation Crisis, and March 2023 Banking Crisis.The dataset includes the following components:BTC_Price_Data.csv: Daily BTC/USD closing prices from major exchanges.ETF_Holdings_Over_Time_Thesis.csv: Daily BTC holdings of major ETFs (Grayscale, BlackRock, Fidelity) and cumulative outflows.ETF_Outflows_Price_Impact_Data.csv: Relationship between ETF outflows and BTC price volatility.Institutional_Shorting_Data.csv: BTC short positions and open interest from Binance, BitMEX, Bybit, and OKX.Whale_Wallet_Movements CSV.csv: Daily BTC inflows, outflows, and cumulative balances for whale wallets.Market_Liquidity_Data.csv: BTC trading volume, order book depth, and liquidity ratios.Media_Sentiment_Scores.csv: Sentiment scores from Twitter, Reddit, Google News, and YouTube.Monte_Carlo_Simulation_Results.csv: Simulated BTC price paths modeling volatility.VAR_Model_Data.csv: Vector autoregression analysis of ETF outflows’ impact on BTC returns.Volatility_Clustering_Data.csv: Daily BTC returns and 30-day rolling standard deviation.GARCH_Model_Data.csv: BTC volatility estimates using the GARCH framework.The dataset is provided in CSV format with clear filenames and structured data columns. Each file is accompanied by a <code>.md</code> file describing its content, structure, and significance. All data has been preprocessed using Python scripts and adjusted for major market events to ensure realistic volatility patterns.Detailed instructions for replicating the dataset and conducting the statistical analysis are available in the public Google Drive folder linked above. The dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing others to share, adapt, and build upon the work with proper attribution.Citation:<br>Decker, N. (2025). <i>The Economic Bomb: A Strategic Financial Warfare Tactic — Dataset.</i> https://drive.google.com/drive/folders/1pnwqBTMF_QSJoC5QcNAPSQpVtOST2n8c?usp=sharing.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28447358.v1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Economic Bomb: A Strategic Financial Warfare Tactic

Figshare
Blockchain Technology Applications and Security
article

The Economic Bomb: A Strategic Financial Warfare Tactic

article en

Abstract

As global financial markets integrate decentralized digital assets, Bitcoin has transitioned from a speculative commodity into a geopolitical economic instrument. This paper introduces the concept of the Economic Bomb (Econ Bomb)—a financial warfare strategy designed to destabilize Bitcoin-dependent economies through institutional short-selling, algorithmic liquidation cascades, and liquidity crises.Drawing on historical financial crises, including Black Wednesday (1992), the Asian Financial Crisis (1997), and the Global Financial Crisis (2008), this study demonstrates how modern financial manipulation techniques—leveraged trading, exchange-traded fund (ETF) liquidity control, and algorithmic trading-based flash crashes—can be used to engineer economic collapse. The research employs empirical econometric models, including volatility clustering analysis, Monte Carlo simulations, and sentiment-driven market response modeling, to quantify the impact of institutional Bitcoin holdings, ETF outflows, and coordinated speculative attacks.Additionally, this paper explores Bitcoin’s role in global power struggles, including its use in de-dollarization efforts, financial sanctions evasion, and the expansion of Central Bank Digital Currencies (CBDCs) as a countermeasure. On-chain forensic analysis provides evidence of whale wallet accumulation patterns, while liquidity data confirms Bitcoin’s structural vulnerabilities as an unregulated financial asset.The findings suggest that Bitcoin’s increasing institutionalization—via ETFs, centralized custodianship, and regulatory compliance measures—has transformed it from a decentralized monetary alternative into a financial instrument susceptible to state-aligned interventions and systemic market control. This paper proposes decentralized custody solutions, liquidity protections, and policy strategies to mitigate Economic Bomb threats and safeguard Bitcoin’s sovereignty.Description: The Economic Bomb: A Strategic Financial Warfare Tactic - DatasetDate: 2025-02-17<br>Type: Available<br>Author: Nicolin Decker<br>Affiliation: Independent<br>Contact: [email protected]<br>This dataset is a comprehensive collection of data used in the doctoral thesis <i>The Economic Bomb: A Strategic Financial Warfare Tacti</i><i>c</i>. It provides empirical evidence demonstrating the impact of coordinated institutional shorting, ETF outflows, whale wallet movements, and media sentiment on Bitcoin’s volatility and price manipulation. The dataset spans from January 2021 to December 2024, covering key market events such as the May 2021 Flash Crash, June 2022 Liquidation Crisis, and March 2023 Banking Crisis.The dataset includes the following components:BTC_Price_Data.csv: Daily BTC/USD closing prices from major exchanges.ETF_Holdings_Over_Time_Thesis.csv: Daily BTC holdings of major ETFs (Grayscale, BlackRock, Fidelity) and cumulative outflows.ETF_Outflows_Price_Impact_Data.csv: Relationship between ETF outflows and BTC price volatility.Institutional_Shorting_Data.csv: BTC short positions and open interest from Binance, BitMEX, Bybit, and OKX.Whale_Wallet_Movements CSV.csv: Daily BTC inflows, outflows, and cumulative balances for whale wallets.Market_Liquidity_Data.csv: BTC trading volume, order book depth, and liquidity ratios.Media_Sentiment_Scores.csv: Sentiment scores from Twitter, Reddit, Google News, and YouTube.Monte_Carlo_Simulation_Results.csv: Simulated BTC price paths modeling volatility.VAR_Model_Data.csv: Vector autoregression analysis of ETF outflows’ impact on BTC returns.Volatility_Clustering_Data.csv: Daily BTC returns and 30-day rolling standard deviation.GARCH_Model_Data.csv: BTC volatility estimates using the GARCH framework.The dataset is provided in CSV format with clear filenames and structured data columns. Each file is accompanied by a <code>.md</code> file describing its content, structure, and significance. All data has been preprocessed using Python scripts and adjusted for major market events to ensure realistic volatility patterns.Detailed instructions for replicating the dataset and conducting the statistical analysis are available in the public Google Drive folder linked above. The dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing others to share, adapt, and build upon the work with proper attribution.Citation:<br>Decker, N. (2025). <i>The Economic Bomb: A Strategic Financial Warfare Tactic — Dataset.</i> https://drive.google.com/drive/folders/1pnwqBTMF_QSJoC5QcNAPSQpVtOST2n8c?usp=sharing.

Figshare
Openalex Percentile: Top 44%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.