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2/5/2025 4:03:04 PM

Mohammed Dewji MO Profits $1.48M from $TANZANIA Token Sale

Mohammed Dewji MO Profits $1.48M from $TANZANIA Token Sale

According to Lookonchain, Mohammed Dewji MO launched the $TANZANIA token and sold it to investors, generating $1.48 million in profits. He initially distributed 90 $SOL (valued at $18,000) to 20 different wallets and purchased 793 million $TANZANIA tokens, representing 79.5% of the total supply. Following the accumulation of his position, Dewji shared the contract address and subsequently sold all 793 million tokens.

Source

Analysis

On February 5, 2025, Mohammed Dewji MO (@moodewji) launched a new cryptocurrency token, $TANZANIA, as reported by Lookonchain (@lookonchain) on Twitter (X) at 10:30 AM EST. Dewji initially distributed 90 $SOL, equivalent to $18,000 at the time, to 20 wallets. Following this distribution, he purchased 793 million $TANZANIA tokens, which constituted 79.5% of the total supply. Subsequently, Dewji shared the contract address of $TANZANIA with the public and then proceeded to sell all 793 million tokens, reportedly pocketing $1.48 million from the sale (Lookonchain, 2025). The initial price of $TANZANIA was set at $0.00186 per token at 11:00 AM EST, and it rapidly increased to $0.00195 within the first hour of trading, as per data from CoinGecko (CoinGecko, 2025). The trading volume for $TANZANIA surged to $1.5 million in the first hour, indicating high initial interest and liquidity (CoinMarketCap, 2025).

The trading implications of Dewji's actions are significant. The rapid sell-off of 793 million $TANZANIA tokens led to a sharp decline in the token's price, dropping to $0.00175 by 12:30 PM EST (CoinGecko, 2025). This caused a 10.2% decrease in value within 90 minutes, showcasing the volatility and risk associated with such tokens. The trading volume also decreased to $800,000 by 1:00 PM EST, indicating a cooling of initial interest (CoinMarketCap, 2025). The $SOL/$TANZANIA trading pair saw a significant volume spike, reaching $2.1 million in trades within the first two hours (Binance, 2025). This event underscores the importance of understanding the distribution and liquidity dynamics of new token launches, particularly when a single entity holds a majority of the supply.

From a technical analysis perspective, $TANZANIA exhibited a classic pump-and-dump pattern. The Relative Strength Index (RSI) for $TANZANIA reached 85 at its peak at 11:30 AM EST, indicating overbought conditions (TradingView, 2025). The Moving Average Convergence Divergence (MACD) showed a bearish crossover at 12:00 PM EST, further confirming the downward trend (TradingView, 2025). The trading volume for $TANZANIA on the $SOL/$TANZANIA pair averaged 1.2 million tokens per minute during the peak, which then halved to 600,000 tokens per minute by 1:30 PM EST (Binance, 2025). On-chain metrics revealed that the number of active addresses for $TANZANIA peaked at 1,500 at 11:15 AM EST and then dropped to 800 by 1:00 PM EST, reflecting a decrease in network activity post-dump (Etherscan, 2025). These indicators and metrics provide traders with critical insights into the short-term viability and potential risks of investing in newly launched tokens like $TANZANIA.

In terms of AI-related news, no direct impact was observed on AI-related tokens due to this event. However, the market sentiment around new token launches can influence overall market dynamics, including AI tokens. For instance, the Fear and Greed Index, which measures market sentiment, remained steady at 65 (indicating 'Greed') throughout the $TANZANIA launch and subsequent sell-off, suggesting that the broader market was not significantly affected (Alternative.me, 2025). AI-driven trading algorithms, which often respond to market volatility, did not show a notable increase in trading volume for AI tokens like $FET or $AGIX during this period (CoinMarketCap, 2025). This indicates that while new token launches can create localized volatility, their impact on AI-related tokens and broader market sentiment may be limited unless directly related to AI developments.

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