Prediction Case File
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Adam Livingston provides a step-by-step framework for analyzing Bitcoin treasury equities with six inputs: BTC held, spot price, fully diluted shares, cash, debt, and market cap. We calculate NAV, M-NAV, and show why share prices can diverge from per-share Bitcoin value. Examples with Sequans and EM

1 extracted signal · 1 resolved · 0 still active

Swan Bitcoin profile imageSwan Bitcoin26 Sept 2025, 19:40 UTC
Video preview for Adam Livingston provides a step-by-step framework for analyzing Bitcoin treasury equities with six inputs: BTC held, spot price, fully diluted shares, cash, debt, and market cap. We calculate NAV, M-NAV, and show why share prices can diverge from per-share Bitcoin value. Examples with Sequans and EM
Signals
1
Eligible signals in this source
Open
0
Still being tracked
Resolved
1
Evaluable outcomes
Successful
0
Canonical correct result
Failed
1
Canonical failed result
Resolved success
0%
Open and excluded signals omitted
Source overview

AI-generated source summary

The analysis focuses on Bitcoin treasury equity firms, contrasting their Bitcoin holdings' net asset value (NAV) with their equity prices. It defines Bitcoin NAV per share, calculated as (Bitcoin held * spot price) / fully diluted shares, and mNAV, which adjusts for balance sheet leverage, calculated as Enterprise Value / Bitcoin NAV. An mNAV under 1.0 signifies that the equity's market price is below its Bitcoin holdings' value. SQNS and EMPD are analyzed with fresh numbers from September 22, 2025, revealing equities trading below their Bitcoin NAV. A dashboard is presented, highlighting the importance of verifying BTC holdings, fully diluted share count, cash, and debt, and calculating NAV and mNAV. The presenter highlights several key risks, which include NAV ratios under 1.0, dilution events, high financial costs, and market and regulatory news injecting volatility.

AI-generated summary based on the source content.

Case timeline

Evidence and evaluation progress

  1. Original source published

    The analyst published the original source item.

  2. First prediction resolved

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

  3. Case evaluation completed

    All evaluable predictions in this case reached terminal outcomes.

  4. Source recorded by Tahlil Plus

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

  5. Market predictions extracted

    1 eligible signal linked to this case.

  6. Outcome tracking started

    Tahlil Plus began monitoring the extracted predictions.

Extracted intelligence

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Swan Bitcoin

Tracked signals
100
Historical success
24.3%
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.