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Algo Falls 4.94% as Market Experiences Increased Volatility

Algo Falls 4.94% as Market Experiences Increased Volatility

Bitget-RWA2025/11/03 05:24
By:Bitget-RWA

- Algo (ALGO) fell 4.94% in 24 hours on Nov 3, 2025, amid broader market volatility linked to U.S. manufacturing data and central bank rate decisions. - A 49.33% annual decline reflects structural bearishness, driven by weak industrial data, inflation concerns, and persistent downward pressure on key technical indicators. - Analysts highlight oversold RSI and broken moving averages as bearish signals, with a breakdown below $0.15 risking retesting of 2024 lows. - A backtesting strategy evaluates trend-foll

As of NOV 3 2025,

experienced a 4.94% decrease in the past 24 hours, bringing its price to $0.1698. Over the last week, ALGO declined by 7.78%, fell 4.45% over the past month, and dropped 49.33% in the previous year. This pronounced drop mirrors the heightened volatility across the market, fueled by a series of major economic events such as the publication of U.S. manufacturing figures and decisions on interest rates by central banks. The week’s economic agenda features several influential indicators, including the S&P Global and ISM Manufacturing PMI, which are anticipated to shed light on the U.S. economic outlook and shape expectations for future monetary policy. The Reserve Bank of Australia’s rate announcement further contributes to the week’s unpredictability, with global investors monitoring these events for their potential impact on asset correlations and overall risk appetite.

ALGO’s performance over the last year highlights a notable transformation in both how the asset is viewed and utilized in the market. After reaching its peak in late 2024, the token has faced ongoing downward momentum, with weekly and monthly losses accumulating to nearly a 50% annual decline. Experts suggest that broader economic factors, especially inflation reports and central bank communications, will continue to play a pivotal role in shaping ALGO’s short-term trajectory along with other assets sensitive to risk. Recent manufacturing data indicating a slowdown in the U.S. industrial sector has intensified the negative sentiment, amplifying worries about the economy’s near-term strength and the possibility of tighter monetary policy.

From a technical perspective, indicators point to a likely continuation of the bearish trend in the short run, as crucial support zones are currently under pressure. On the daily chart, ALGO has slipped beneath important moving averages, including the 50- and 200-day lines, which are traditionally seen as markers for broader market trends. The Relative Strength Index (RSI) is signaling oversold conditions, but this has yet to trigger substantial buying interest. Analysts emphasize the necessity of a strong reversal pattern to suggest a potential bottom, but at present, the negative outlook persists. Should the price fall below $0.15, it could test deeper support near $0.125, possibly revisiting the lows seen in 2024.

Backtest Hypothesis
Amid the recent sharp volatility and clear downward momentum in ALGO, a backtesting framework can be designed to analyze how effective a trend-following strategy would be in this bearish scenario. The suggested backtest centers on a specific trigger—when ALGO’s daily price drops by 5% or more. The aim is to evaluate whether taking a short position immediately after such a decline yields positive returns over a set period, using historical data from 2022-01-01 to 2025-11-03. This method will help determine if the price action represents a brief correction or signals a sustained downward trend. The strategy will be examined for both intraday and close-to-close event variations to account for different liquidity and execution conditions. If the results show consistent profitability, this approach could serve as a template for systematic short-term trading under similar market circumstances.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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