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On SEP 2 2025, CITY rose by 19.92% within 24 hours to reach $0.988, CITY dropped by 108.16% within 7 days, dropped by 127.58% within 1 month, and dropped by 4631.8% within 1 year.
The recent 24-hour price rebound indicates a potential short-term reversal in sentiment. Despite this, historical price performance remains deeply bearish, with a 7-day drop of 108.16% and a monthly decline of 127.58%. Over the past year, the total price decline reached an alarming 4631.8%, signaling a long-term loss of nearly all value for investors who held the asset for the full period.
The price’s dramatic drop over the past year has drawn attention to underlying technical and structural factors. A closer look at the 7-day and monthly declines highlights the challenges of sustaining a positive trend in the wake of such prolonged bearish momentum. The 24-hour increase, while significant in percentage terms, must be contextualized against these deep historical declines.
The short-term rise appears to be driven by immediate market reactions, potentially to news or liquidity events not disclosed in the broader market data. However, given the steepness of the prior declines, the 24-hour increase is more indicative of a bounce rather than a reversal of a long-term downtrend.
Backtest Hypothesis
A potential backtesting strategy could be constructed to evaluate the viability of a short-term reversal trading approach, using the 24-hour rise as a signal. The hypothesis would involve identifying similar short-term spikes in the asset’s price and assessing whether they preceded a broader recovery or merely represented temporary volatility.
The strategy would likely rely on a combination of RSI and MACD indicators to confirm the strength of the reversal. RSI readings would need to show a clear exit from oversold territory, while the MACD line crossing above the signal line would act as a secondary confirmation.
Traders implementing such a strategy would likely look for additional volume signals to support the price move, although this is beyond the scope of the provided data. The hypothesis would also evaluate the timing of entries and exits to optimize returns while managing the risk of retracing into deeper bearish territory.
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