Prediction Case File
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The 3 Moving Averages I Used as a Market Maker (And the One Everyone Gets Wrong)

1 extracted signal · 0 resolved · 1 still active

Krown profile imageKrownIndependent analyst profile
Source published
03 Oct 2026, 16:00 UTC
Recorded by Tahlil Plus
03 Oct 2026, 17:25 UTC
Video preview for The 3 Moving Averages I Used as a Market Maker (And the One Everyone Gets Wrong)
Source overview

AI-generated source summary

The video focuses on the concept of moving averages as a tool in technical analysis. It highlights that moving averages are often misunderstood, being neither as good as fans claim nor as useless as haters suggest. The core idea is that moving averages are lagging indicators, following price rather than predicting it. The 'period' of a moving average determines its memory length; shorter periods (like 21 EMA) are more responsive to recent price action, making them faster and twitchier, while longer periods (like 200 SMA) are more stable and indicative of longer-term trends. The video emphasizes that 'lagging' is the feature, as it filters out noise, and provides three specific moving averages (21 EMA, 55 EMA, 200 SMA) as a starter set for analysis. The analysis also touches upon the 'Leash' concept, where short-term averages act like a rubber band, snapping back to longer-term averages. Additionally, it discusses how price action interacting with these averages can indicate support or resistance zones and the potential for trend confirmation or reversal. The 200-week SMA is highlighted as a significant indicator that has historically caught bear market lows. The video also mentions the importance of considering the slope of these averages and how crosses confirm trends but do not predict them.

AI-generated summary based on the source content.

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Extracted intelligence

Signals in this source

Case timeline

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  1. Original source published

    The analyst published the original source item.

  2. Source recorded by Tahlil Plus

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  3. Market predictions extracted

    1 eligible signal linked to this case.

  4. Outcome tracking started

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  5. Source processing completed

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Analyst snapshot

Krown

Platform-wide history, separate from this source evaluation.

Reliability
56.6
Tracked signals
335
Historical success
47.3%
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Methodology & disclosure

Tahlil Plus independently records and evaluates public market predictions. Extraction may be AI-assisted and results follow the Tahlil Plus methodology. This information is not financial advice.

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