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As BTC-TCs, both @Strategy | @Strive rely on robust capital markets access to scale the Treasury Model.
Through Digital Credit, they’ve opened additional capital-raising channels and, in my view, created a new asset class. The resulting preferred securities now trade as their own cohort | block in a secondary market, adjacent to $BTC and their “parent equities”, not separate from them.
My research at True North examines $STRC through that lens: buybacks, market structure, and the transmission channels connecting the offering to the wider complex.
This connection shows up in the data - the following results are from a broader analysis of all five preferred offerings: $STRK | $STRF | $STRD | $STRC | $SATA - using their price histories since inception and rolling attribution models built on matched trading sessions.
The results below are from a 9-4-26 snapshot of that larger analysis: a 60-session window spanning 6-11-26 through 9-4-26, covering the selloff, the pre-buyback rebound, and the buyback execution period.
Within that window, a model built on orthogonal (uncorrelated) factors explained 74.65% of daily price return variance in $STRC. The three largest allocations, expressed as shares of that explained variance, were:
a] Other (Non-STRC) Preferreds: ~44.7%
b] MSTR (ex-BTC): ~39.2%
c] BTC: ~15.7%
Read the full analysis here: tnorth.com/research/strc-…
Through Digital Credit, they’ve opened additional capital-raising channels and, in my view, created a new asset class. The resulting preferred securities now trade as their own cohort | block in a secondary market, adjacent to $BTC and their “parent equities”, not separate from them.
My research at True North examines $STRC through that lens: buybacks, market structure, and the transmission channels connecting the offering to the wider complex.
This connection shows up in the data - the following results are from a broader analysis of all five preferred offerings: $STRK | $STRF | $STRD | $STRC | $SATA - using their price histories since inception and rolling attribution models built on matched trading sessions.
The results below are from a 9-4-26 snapshot of that larger analysis: a 60-session window spanning 6-11-26 through 9-4-26, covering the selloff, the pre-buyback rebound, and the buyback execution period.
Within that window, a model built on orthogonal (uncorrelated) factors explained 74.65% of daily price return variance in $STRC. The three largest allocations, expressed as shares of that explained variance, were:
a] Other (Non-STRC) Preferreds: ~44.7%
b] MSTR (ex-BTC): ~39.2%
c] BTC: ~15.7%
Read the full analysis here: tnorth.com/research/strc-…