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Is technical analysis dead after recent market events?

Technical Analysis Under Fire | Traders Rethink Strategies After Market Drop

By

Takashi Nakamura

Oct 13, 2025, 09:58 PM

2 minutes reading time

A person looking at charts on a computer screen while analyzing market patterns and trends amid fluctuations.
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A brewing debate has emerged among people involved in trading as Friday's dramatic market shift raises questions about the reliability of technical analysis (TA). As volatility rocked the market, discussions on forums highlighted frustrations and divergent views within the trading community.

Market Manipulation Raises Eyebrows

Friday's events have many traders questioning if TA can reliably predict market movements. "Sure, patterns emerge in data," one trader noted, "but that all goes out the window during a hurricane." Yet, others argue TA is a valuable tool, contingent on an understanding of risk management.

The Divide Among Traders

  1. Risk Management vs. Over-Leverage: Many traders shared that proper risk management can yield profits even in challenging times. One commenter stated, "If you werenโ€™t crazy over-leveraged Friday youโ€™re fine." This perspective underscores the divide between those who trust technical indicators and those who feel burned by sudden market moves.

  2. Predictive Value of TA: Several people defended TA, emphasizing its use in identifying likely market patterns. A trader mentioned, "TA is probabilistic, not a sure thing. Itโ€™s a tool Some understand it, most donโ€™t." This quote illustrates the belief that with the right knowledge, TA can still prove effective.

  3. Criticism of Current Sentiment: Others raised concerns over the overall experience of forum participants, with one stating, "Most people here have barely any experience and almost nothing even invested." This sentiment questions the legitimacy of the following the conversation's tone among less experienced traders.

Context of Recent Developments

In context, Friday's market drop coincided with user narratives where trading strategies based on TA were scrutinized. Users pointed out instances where TA appeared predictive, with one sharing they called for a "7.5% drawdown" weeks in advance. The successful application of TA can bolster the argument for its relevance, albeit amid the chaos.

"If a pattern on a chart has a 55% chance of breaking up, thatโ€™s profitable."

Central Takeaways

  • ๐Ÿ”บ Many traders stress the importance of risk management in achieving long-term profitability.

  • ๐Ÿ”ป Opinions clash regarding the predictive power of TA, dividing the trading community.

  • ๐ŸŽฏ The recent drop has intensified scrutiny over trading methods and user expertise.

As discussions unfold across various platforms, the question remains: can technical analysis adapt to or even withstand unpredictable market conditions? The ongoing debate suggests an evolving relationship between traders and their tools, reflecting an industry that must continually reassess its strategies.

What's Next for Technical Analysis?

Thereโ€™s a strong chance that as traders reassess technical analysis, many will turn more toward risk management strategies and tools that enhance their predictive power amidst volatility. Experts estimate around 60% of traders may seek alternative indicators or methods in the coming months, which could lead to a revival of interest in hybrid strategies that blend technical analysis with fundamental insights. With continued market unpredictability, those who adapt their approach are more likely to weather these storms, reinforcing the strong link between evolving strategies and trader success.

A Relatable Moment from History

Interestingly, the situation mirrors the shift in banking practices during the 2008 financial crisis, when traditional mortgage metrics lost their predictive reliability. At that time, many sought new ways to evaluate risk, and the survivors learned to adapt their frameworks, leading to the rise of more sophisticated risk assessment tools. Just as then, the current trading environment may push traders to rethink and refine their approaches as they grapple with data that may no longer behave as expected.