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Testing a crypto scalping strategy using trend strength indicators reveals a significant win rate discrepancy. While a new AI-centric approach yielded only a 24% win rate from 50 trades, a well-established indicator achieved 79%. Despite initial promises, the AI-driven method substantially underperformed, highlighting the potential pitfalls of relying on buzzwords like artificial intelligence in trading strategies. Recommendations emphasize consistent testing and reliable indicators for better trading outcomes.
The AI trading view indicator is examined under skepticism regarding its relevance.
Artificial intelligence terminology is criticized as potentially misleading in trading contexts.
The skepticism surrounding AI-driven trading strategies reflects broader market concerns about legitimacy. A critical takeaway from the failure of the new AI indicator lies in the importance of rigorous testing parameters. Traders should prioritize established systems that demonstrate proven efficacy, rather than being swayed by trending terms. This aligns with market shifts where genuine performance metrics increasingly overshadow marketing language.
The speaker critiques the use of AI buzzwords in trading strategies, asserting that many forecasts lack genuine AI involvement.
The video details testing a specific scalping approach, ultimately leading to disappointing results.
TRADING OF SURYA 14month
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