TREE +37.33% in 24 Hours Amid Market Volatility

On SEP 18 2025, TREE rose by 37.33% within 24 hours to reach $0.3234, while registering an 82.97% drop over the past seven days, a 352.77% drop in one month, and a 3460.99% drop over the past year.

The recent spike in TREE’s price occurred amid renewed investor attention sparked by the release of a new governance framework and the activation of a community-led development initiative. The governance model introduces a multi-tiered voting structure designed to reduce centralization risks and improve token holder participation in decision-making processes.

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The framework, which has been under development for over six months, is now live across all core network functions. A key feature is the implementation of a “snapshot-based” voting mechanism, which allows token holders to lock their votes for a defined period without transferring their holdings. Analysts project this could reduce the risk of vote manipulation and improve long-term stakeholder alignment.

In addition to governance changes, the network has seen the launch of a cross-chain interoperability module, which allows TREE holders to interact with multiple blockchain ecosystems without relying on third-party bridges. This development is seen as a strategic move to expand TREE’s utility beyond its native chain and into broader DeFi and NFT platforms.

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A suite of technical indicators has been used to analyze the recent price movement. The Relative Strength Index (RSI) has shown a recovery from oversold territory, indicating potential short-term buying interest. Meanwhile, the 200-day moving average remains significantly above the current price, signaling a continuation of bearish trends in the longer term. The Moving Average Convergence Divergence (MACD) has crossed above the signal line, suggesting a possible near-term upward bias.

Backtest Hypothesis

Based on historical price patterns and the newly introduced technical signals, a backtesting strategy was devised to simulate trading decisions aligned with the recent price recovery. The strategy is anchored in a combination of RSI and MACD crossovers, with entry triggers based on RSI crossing above 30 and MACD crossing above the signal line. Exit conditions are defined by a 5% trailing stop-loss and a profit target of 15% from entry.

The hypothesis is that the recent governance and utility enhancements have increased the likelihood of sustained buying interest, especially among retail investors reacting to improved fundamentals. The backtest aims to evaluate whether such a strategy would have captured the recent 37.33% price gain and mitigated exposure during the preceding drawdowns.

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