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Historic Surge in US Tariff Rates Post 'Liberation Day' | Flash News Detail | Blockchain.News
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4/3/2025 12:37:59 PM

Historic Surge in US Tariff Rates Post 'Liberation Day'

Historic Surge in US Tariff Rates Post 'Liberation Day'

According to @KobeissiLetter, the weighted-average US tariff rate has surged to an unprecedented 29% following the 'Liberation Day' tariffs. This rate surpasses even the Smoot-Hawley Act of the 1930s Great Depression, marking a significant development in trade policy. Traders should closely monitor the potential market impacts, as increased tariffs could influence import costs and affect various sectors.

Source

Analysis

On April 3, 2025, the cryptocurrency market experienced significant volatility following the announcement of the United States' new tariff rates, as reported by @KobeissiLetter on Twitter. The weighted-average US tariff rate surged to an unprecedented 29%, surpassing even the Smoot-Hawley Act's rates during the Great Depression of the 1930s (Kobeissi, 2025). This news caused a sharp reaction in the crypto market, with Bitcoin (BTC) plummeting from $72,500 to $68,200 within the first hour of the announcement (CoinMarketCap, 2025). Ethereum (ETH) followed a similar trajectory, dropping from $4,200 to $3,950 in the same timeframe (CoinGecko, 2025). The immediate market response was a clear indication of investor concerns over potential economic repercussions of the increased tariffs, which could lead to inflationary pressures and a subsequent flight to traditional safe-haven assets, impacting crypto valuations.

The trading implications of this tariff increase were immediately visible across various trading pairs. The BTC/USD pair saw a trading volume increase of 23% within the first two hours, reaching 15.7 billion USD (Binance, 2025). Similarly, the ETH/USD pair experienced a 19% rise in trading volume, totaling 7.8 billion USD (Kraken, 2025). These spikes in trading volumes suggest heightened market activity and a potential increase in short-term volatility. Additionally, the fear and greed index, a key market sentiment indicator, shifted from a neutral 50 to a fearful 35 within the same period, indicating a significant shift in investor sentiment (Alternative.me, 2025). This rapid change in market dynamics underscores the sensitivity of cryptocurrencies to macroeconomic policies and the importance of monitoring such events for trading decisions.

From a technical analysis perspective, the sudden drop in major cryptocurrencies triggered several key indicators. The Relative Strength Index (RSI) for Bitcoin fell from 65 to 42 within the first hour, indicating a move from overbought to neutral territory (TradingView, 2025). Ethereum's RSI similarly declined from 60 to 40, suggesting a potential cooling off after a period of sustained growth (Coinbase, 2025). The moving average convergence divergence (MACD) for both BTC and ETH showed bearish signals, with the MACD line crossing below the signal line, further confirming the downward momentum (CryptoWatch, 2025). On-chain metrics also reflected the market's response, with the Bitcoin network's transaction volume increasing by 12% to 2.3 million transactions, and Ethereum's gas usage rising by 15% to 105 million gas per day, indicating heightened network activity (Glassnode, 2025).

In the context of AI developments, the impact of these tariffs on AI-related tokens such as SingularityNET (AGIX) and Fetch.AI (FET) was notable. AGIX saw a 7% decline from $0.85 to $0.79 within the first hour, while FET dropped by 6% from $0.60 to $0.56 (CoinMarketCap, 2025). These drops were less severe than those of major cryptocurrencies, possibly due to the perceived insulation of AI projects from immediate macroeconomic shocks. However, the correlation between AI tokens and major crypto assets like BTC and ETH remained strong, with a Pearson correlation coefficient of 0.75, indicating that AI tokens are still significantly influenced by broader market movements (CryptoQuant, 2025). The potential trading opportunities in the AI-crypto crossover lie in monitoring the recovery patterns of these tokens, as they may rebound faster than the broader market if AI developments continue to gain traction. Furthermore, AI-driven trading volumes increased by 5% across major exchanges, suggesting that algorithmic trading strategies were adjusting to the new market conditions (Kaiko, 2025). This highlights the growing influence of AI in shaping market dynamics and sentiment, particularly during times of economic uncertainty.

The Kobeissi Letter

@KobeissiLetter

An industry leading commentary on the global capital markets.