Prediction Case File
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A Simple Model for Bitcoin's Long Term Floor

1 extracted signal · 0 resolved · 0 still active

Joe Burnett profile imageJoe BurnettIndependent analyst profile
Source published
21 Jul 2026, 12:45 UTC
Recorded by Tahlil Plus
21 Jul 2026, 12:59 UTC
Video preview for A Simple Model for Bitcoin's Long Term Floor
Source overview

AI-generated source summary

The video presents a technical analysis of Bitcoin using a historical power law model, suggesting that past bear market lows follow a predictable pattern. The analysis posits that each subsequent bear market establishes a higher floor than the previous one. This model, with a reported R-squared value of 0.9897, projects potential floor prices for Bitcoin at specific future dates: approximately $61,000 by July 2026, $188,000 by July 2030, and $390,000 by July 2035. The presenter suggests that this pattern, observed in various natural phenomena and human systems, indicates a tendency for exponential growth in Bitcoin adoption and value over time. While acknowledging that such models are not perfect predictors and may eventually break, the presenter believes the current trend suggests a potential upward break from the established power law, implying a bullish outlook for Bitcoin's long-term trajectory. The analysis highlights that technological advancements, like AI and automation, are accelerating wealth creation, which could further support Bitcoin's value growth.

AI-generated summary based on the source content.

Live evaluation

Signal outcomes at a glance

Evaluation Complete
Signals
1
Extracted from this source
Open
0
Still being tracked
Successful
0
Resolved successfully
Failed
0
Resolved unsuccessfully
Other
1
Cancelled, invalid or excluded
Resolved success
—
0 resolved; open signals omitted
Extracted intelligence

Signals in this source

Case timeline

Evidence and evaluation progress

  1. Original source published

    The analyst published the original source item.

  2. Source recorded by Tahlil Plus

    The public source was preserved as the evidence record for this case.

  3. Market predictions extracted

    1 eligible signal linked to this case.

  4. Outcome tracking started

    Tahlil Plus began monitoring the extracted predictions.

  5. Source processing completed

    Source analysis and structured extraction completed.

  6. First prediction resolved

    The first evaluable outcome in this case reached a terminal result.

  7. Case evaluation completed

    All evaluable predictions in this case reached terminal outcomes.

Analyst snapshot

Joe Burnett

Platform-wide history, separate from this source evaluation.

Reliability
36.6
Tracked signals
16
Historical success
30.0%
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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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