📈 Logistics real estate becomes a core institutional asset class
Algorithmic, fast-cycle fulfilment makes land-based logistics capacity - warehouses, urban distribution, multi-storey cold storage - the scarce input in the goods economy, so logistics real estate re-rates from niche industrial into a core institutional allocation. Claire Cormier Thielke's worked example: China has a quarter of the US per-capita cold-storage capacity, and Hines is developing six-storey refrigerated towers inside a 45-minute drive of 45 million people.
⚖ Why this verdict
fully deterministic — evaluate.py replays this from daily closes; nothing below is editable or hand-set
- Window: 2022-05-24 → 2023-05-24 — first mention + 12-month horizon, then the window locks.
- The call: ▲ LONG PLD (primary play). PLD rose 3.6% over the window → direction-adjusted R = +3.6% (the call made money).
- Benchmark: holding SPY over the same window returned +6.1% → α = +3.6 − (+6.1) = -2.5% — what this call made or lost against just owning the index. This is the number the verdict uses.
- Rule fired:
· HIT — R ≥ +10% AND α ≥ +5· PARTIAL — R ≥ +5% OR α ≥ 0▶ MISS — everything else
- Credit: supporters of a MISS earn 0 each, opposers the inverse — this feeds the scoreboard weights. supported: nobody | opposed: Friedberg, Jason | proxy-sensitive: COLD→HIT (+13.1%)
Conviction timeline
bands: green ≥ 65 · watch ≥ 45 · ember ≥ 15
Plays vs SPY · % since first mention (2022-05-24)
Plays
| expression | symbol | kind | relevance | rationale |
|---|---|---|---|---|
| ▲ LONG | PLD | stock | PRIMARY | largest global logistics REIT - the direct listed read on warehouse demand and rents |
| ▲ LONG | COLD | stock | adjacent | pure-play cold storage, her explicit per-capita capacity-gap example |
| ▲ LONG | FR | stock | adjacent | US infill industrial landlord levered to last-mile distribution space |
Mention log
“this is why you've seen the rise of logistics real estate as a deeply institutional asset class, because that math that you talk about, the algorithm is determining what is ordered, how long will it sit, and how fast do people want it. That takes infrastructure on land to be able to get it to people's want. ... China only has a quarter of the cold storage capacity per capita that the US does. Okay, it doesn't take a genius to see that this trajectory is, you know, lower left to upper right.”
“So they overbuilt, tried to get ahead of the curve. Remember, they hired like a hundred thousand workers. And, you know, they had to make a pipeline for quarters ahead to build warehouses. Now they're realizing the demand is not going to be there. And they're cutting back on 15 warehouses around the country and not going to build them.”
“They were buying up so many warehouses. I had a couple of companies that were looking for warehouses in Los Angeles, Northern California, and Amazon just bought an option on every single warehouse they could find. And now they're putting them back on the market. So they definitely went too heavy.”
Who built this conviction
each voice's total force on the score — supports and opposes from every mention, weighted exactly as the replay applied them · share = % of all mention-driven movement
⏳ decay drained -3.9 over the idea's life — that's time passing, attributed to no one
Score events
| episode | kind | Δ | after | note |
|---|---|---|---|---|
| E82 2022-05-24 | init | +21.0 | 21.0 | E82 born by Claire Cormier Thielke (explicit_prediction x3) [w=0.50] |
| E84 2022-06-24 | decay | -0.8 | 20.2 | E84 silent |
| E85 2022-06-30 | decay | -0.8 | 19.4 | E85 silent |
| E86 2022-07-08 | decay | -0.8 | 18.6 | E86 silent |
| E87 2022-07-14 | decay | -0.7 | 17.8 | E87 silent |
| E88 2022-07-22 | decay | -0.7 | 17.1 | E88 silent |
| E89 2022-07-29 | oppose | -10.4 | 6.7 | E89 Friedberg opposes x2 [w=0.87] |
| E89 2022-07-29 | oppose | -6.7 | 0.0 | E89 Jason opposes x2 [w=0.97] |
| E90 2022-08-05 | decay | · | 0.0 | E90 silent |
| E91 2022-08-13 | decay | · | 0.0 | E91 silent |
| E92 2022-08-20 | decay | · | 0.0 | E92 silent |
| E93 2022-08-26 | decay | · | 0.0 | E93 silent |
| E94 2022-09-01 | decay | · | 0.0 | E94 silent |
| E95 2022-09-10 | decay | · | 0.0 | E95 silent |
| E96 2022-09-17 | decay | · | 0.0 | E96 silent |
| E97 2022-09-23 | decay | · | 0.0 | E97 silent |
| E98 2022-10-01 | decay | · | 0.0 | E98 silent |
| E99 2022-10-07 | decay | · | 0.0 | E99 silent |
| E100 2022-10-14 | decay | · | 0.0 | E100 silent |
| E101 2022-10-22 | decay | · | 0.0 | E101 silent |
| E102 2022-10-29 | decay | · | 0.0 | E102 silent |
| E103 2022-11-05 | decay | · | 0.0 | E103 silent |
| E105 2022-11-19 | decay | · | 0.0 | E105 silent |
| E106 2022-12-03 | decay | · | 0.0 | E106 silent |
| E107 2022-12-10 | decay | · | 0.0 | E107 silent |
| E108 2022-12-16 | decay | · | 0.0 | E108 silent |
| E109 2022-12-24 | decay | · | 0.0 | E109 silent |
| E110 2023-01-06 | decay | · | 0.0 | E110 silent |
| E111 2023-01-13 | decay | · | 0.0 | E111 silent |
| E112 2023-01-20 | decay | · | 0.0 | E112 silent |
| E113 2023-01-27 | decay | · | 0.0 | E113 silent |
| E114 2023-02-04 | decay | · | 0.0 | E114 silent |
| E115 2023-02-11 | decay | · | 0.0 | E115 silent |
| E116 2023-02-17 | decay | · | 0.0 | E116 silent |
| E118 2023-03-03 | decay | · | 0.0 | E118 silent |
| E119 2023-03-11 | decay | · | 0.0 | E119 silent |
| E120 2023-03-17 | decay | · | 0.0 | E120 silent |
| E121 2023-03-24 | decay | · | 0.0 | E121 silent |
| E122 2023-03-31 | decay | · | 0.0 | E122 silent |
| E123 2023-04-07 | decay | · | 0.0 | E123 silent |
| E124 2023-04-14 | decay | · | 0.0 | E124 silent |
| E125 2023-04-21 | decay | · | 0.0 | E125 silent |
| E126 2023-04-28 | decay | · | 0.0 | E126 silent |
| E128 2023-05-12 | decay | · | 0.0 | E128 silent |
| E129 2023-05-19 | decay | · | 0.0 | E129 silent |