MacroBessent

2026-09-19 13:27 UTCAccount
S&P 5007,650.50+0.17%Nasdaq26,522.54+0.39%Dow51,682.64-0.18%Nikkei 22565,018.95+1.38%Hang Seng24,750.78+0.60%EuroStoxx 506,236.20-1.37%Dollar (DXY)100.22+0.00%EUR/USD1.15+0.18%USD/JPY156.85+0.46%GBP/USD1.34+0.26%USD/CNY6.70-0.15%US 10Y yield5.00+1.03%US 5Y yield4.86+1.15%Gold4,424.90+0.57%Silver66.56+1.66%Copper6.62+0.43%Platinum1,803.50+0.68%Palladium1,306.20+1.24%WTI100.30-1.58%Brent103.87-0.91%Henry Hub2.91+0.38%Gasoline3.53+0.58%Heating oil5.06-1.10%Wheat714.25-1.75%Corn527.50-0.57%Soybeans1,303.50-1.23%Coffee294.55+1.38%Sugar17.36-0.34%Cocoa5,327.00-7.71%Cotton77.38-1.31%Lithium ETF70.50-0.56%Uranium ETF41.65-2.41%Rare Earths ETF69.06-0.06%Copper Miners ETF87.28+0.77%Bitcoin81,244.98+0.42%Ethereum2,637.29+0.99%Solana111.48-0.99%S&P 5007,650.50+0.17%Nasdaq26,522.54+0.39%Dow51,682.64-0.18%Nikkei 22565,018.95+1.38%Hang Seng24,750.78+0.60%EuroStoxx 506,236.20-1.37%Dollar (DXY)100.22+0.00%EUR/USD1.15+0.18%USD/JPY156.85+0.46%GBP/USD1.34+0.26%USD/CNY6.70-0.15%US 10Y yield5.00+1.03%US 5Y yield4.86+1.15%Gold4,424.90+0.57%Silver66.56+1.66%Copper6.62+0.43%Platinum1,803.50+0.68%Palladium1,306.20+1.24%WTI100.30-1.58%Brent103.87-0.91%Henry Hub2.91+0.38%Gasoline3.53+0.58%Heating oil5.06-1.10%Wheat714.25-1.75%Corn527.50-0.57%Soybeans1,303.50-1.23%Coffee294.55+1.38%Sugar17.36-0.34%Cocoa5,327.00-7.71%Cotton77.38-1.31%Lithium ETF70.50-0.56%Uranium ETF41.65-2.41%Rare Earths ETF69.06-0.06%Copper Miners ETF87.28+0.77%Bitcoin81,244.98+0.42%Ethereum2,637.29+0.99%Solana111.48-0.99%

Model book: paper NAV Das of 2026-09-19T13:05:49Z

equity
$11,584
start $10,000
return
+15.84%
since the first mark
open
25
positions
resolved
0
positions
PAPER portfolio. No real order is ever sent.
modelbook.db · available_at 2026-09-19T13:05:49Z
No tabular rows behind this section in this build — the Read tab carries everything the panel published.

The next Fed meeting, as the crowd prices it Das of 2026-09-19 13:18 UTC

cut50+
0%
CME not published this build
cut25
1%
CME not published this build
hike25
56%
CME not published this build
hike50+
1%
CME not published this build
Polymarket, meeting 2026-10 · available_at 2026-09-19 13:18 UTC
polymarket cross · 4 rows
market titlemeetingbucketpoly pfedwatch pdivergence pts
Will the Fed decrease interest rates by 25 bps after the October 2026 meeting?2026-10cut250.01not reportednot reported
Will the Fed decrease interest rates by 50+ bps after the October 2026 meeting?2026-10cut50+0.00not reportednot reported
Will the Fed increase interest rates by 25 bps after the October 2026 meeting?2026-10hike250.56not reportednot reported
Will the Fed increase interest rates by 50+ bps after the October 2026 meeting?2026-10hike50+0.01not reportednot reported
11 rows and 3 fields withheld at this tier: absent from the page, not hidden in it.

Is the crowd calibrated? Cas of 2026-09-06

trade-time Brier
0.1685
0.25 is a coin flip
calibration error
0.0072
ECE
trades scored
121,671,888
both sides of every trade
Kalshi resolved trades · grade C · available_at 2026-09-06
calibration · 20 rows
pricewin raten
2.700.0215,527,762
8.000.0711,196,789
13.000.1210,382,666
18.000.1810,281,017
23.000.2410,585,305
28.100.2811,055,486
33.000.3511,745,784
38.000.3812,827,019
43.100.4313,501,720
48.000.4816,287,905
53.000.5315,854,010
58.000.5913,242,620
63.000.6312,601,610
68.000.6611,630,980
73.000.7310,914,749
78.000.7710,537,856
83.000.8410,193,288
88.100.8910,559,501
93.100.9411,384,540
97.800.9813,033,081
ev by side · 21 rows
price bucketev yesn yesev non no
-4-0cnot reported018.1844
1-5c-0.906,244,579-0.822,742,169
6-10c-1.475,132,151-1.221,409,075
11-15c-1.684,757,257-1.431,215,293
16-20c-1.264,732,423-1.511,167,190
21-25c0.414,801,333-0.731,158,627
26-30c-1.545,042,834-0.891,209,866
31-35c1.624,965,4030.261,283,011
36-40c-2.025,313,385-0.821,427,393
41-45c-2.855,079,751-0.051,549,041
46-50c-2.095,987,0290.122,195,379
51-55c-2.175,559,7060.152,382,683
56-60c-1.874,665,405-0.151,996,360
61-65c-2.194,190,738-0.171,812,968
66-70c-5.003,525,456-0.741,776,726
71-75c-1.742,972,744-0.311,776,642
76-80c-3.012,754,783-0.641,853,384
81-85c-0.542,360,581-0.161,940,645
86-90c-0.682,323,1040.012,163,746
91-95c-0.792,206,723-0.302,542,570
96-99c-0.942,086,536-0.233,367,155
longshot volume share by quarter · 20 rows
quartersharecontracts
2021-Q20.005
2021-Q30.273,700,853
2021-Q40.246,047,822
2022-Q10.297,442,620
2022-Q20.3718,979,098
2022-Q30.3325,557,951
2022-Q40.2919,397,829
2023-Q10.2719,155,895
2023-Q20.4250,735,932
2023-Q30.4550,197,981
2023-Q40.4659,864,967
2024-Q10.2965,126,261
2024-Q20.2892,739,977
2024-Q30.3273,967,583
2024-Q40.331,732,539,239
2025-Q10.30844,715,042
2025-Q20.321,716,397,858
2025-Q30.253,084,607,762
2025-Q40.269,984,744,984
2026-Q10.317,330,247,255
calibration mad by year · 6 rows
yearmad cents
20210.59
20221.92
20232.00
20244.47
20252.18
20261.05
calibration mad by month · 51 rows
monthmad centsn
2021-081.452,282
2021-100.523,034
2021-110.392,012
2021-120.062,462
2022-010.905,906
2022-042.934,280
2022-051.99127,214
2022-061.96224,796
2022-072.45229,908
2022-081.12297,818
2022-092.02249,188
2022-101.80208,634
2022-112.46168,694
2022-122.06124,122
2023-012.7353,088
2023-022.88100,578
2023-031.23351,430
2023-041.71271,242
2023-052.52463,642
2023-061.35421,682
2023-072.79443,192
2023-082.22244,042
2023-091.59207,136
2023-101.52316,192
2023-112.01191,146
2023-122.43218,992
2024-013.01385,032
2024-021.63372,168
2024-031.88353,356
2024-041.63337,132
2024-051.31241,464
2024-062.11232,672
2024-071.98249,528
2024-081.61220,996
2024-093.67217,104
2024-1012.41870,024
2024-115.735,123,450
2024-120.922,016,926
2025-010.942,427,836
2025-022.353,364,986
2025-034.125,529,812
2025-043.443,930,924
2025-052.454,726,954
2025-062.945,838,492
2025-071.855,694,832
2025-081.595,908,696
2025-092.5813,549,064
2025-102.7019,697,290
2025-111.1215,550,418
2025-121.9554,292,896
2026-011.0586,603,532
scalars
fieldvalue
datasetTrevorJS/kalshi-trades
computed at2026-09-06T06:31:54.179864+00:00
n trades analyzed121,671,888
n resolved markets3,722,314
brier trade time0.17
ece0.01
log loss0.50
longshot volume share latest0.31
The model book

Model book NAV at every daily mark (paper) Das of 2026-09-19

$9,842$10,792$11,74209-0609-1109-1509-19N… $11,584s… $10,000
Total paper equity (cash plus positions marked to the live Polymarket book) at each daily mark, 2026-09-06 to 2026-09-19, n=13 marks. PAPER: no order is ever sent; seeded positions carry gains inherited from the price our signal logged. · modelbook.db · available_at 2026-09-19
daily marks · 13 rows
datecashpositions valuetotaln positions
2026-09-065,000.006,482.5111,482.5125
2026-09-075,000.006,472.4711,472.4725
2026-09-085,000.006,506.1411,506.1425
2026-09-105,000.006,551.8211,551.8225
2026-09-115,000.006,478.8011,478.8025
2026-09-125,000.006,469.7611,469.7625
2026-09-135,000.006,468.3411,468.3425
2026-09-145,000.006,462.4711,462.4725
2026-09-155,000.006,493.9011,493.9025
2026-09-165,000.006,517.0511,517.0525
2026-09-175,000.006,571.0311,571.0325
2026-09-185,000.006,569.5711,569.5725
2026-09-195,000.006,583.5811,583.5825

The MacroBessent Model Book — every fill, fee and slippage bp published Das of 2026-09-19T13:05:49Z

equity
$11,584
start $10,000
return
15.84%
open
25
resolved
0
win rate appears as they land
marketsideentrynowunrlzdentry type
Will Solana dip to $50 by December 31, 2026?NO0.620.93+98
Will Solana reach $180 by December 31, 2026?NO0.900.87-7
Will Solana reach $160 by December 31, 2026?NO0.890.79-22
Will Solana dip to $40 by December 31, 2026?NO0.720.95+64
Will S&P 500 (SPX) hit $6,200 (LOW) in December?NO0.720.88+45
Will S&P 500 (SPX) hit $5,800 (LOW) in December?NO0.790.94+37
Will S&P 500 (SPX) hit $5,200 (LOW) in December?NO0.900.95+12
Will Solana dip to $20 by December 31, 2026?NO0.900.99+20
Will Ethereum reach $3,000 by December 31, 2026?NO0.850.34-119
Will Solana dip to $60 by December 31, 2026?NO0.430.91+222
Will Bitcoin dip to $50,000 by December 31, 2026?NO0.690.93+68
Will Bitcoin reach $95,000 by December 31, 2026?NO0.840.62-52
Will Bitcoin reach $90,000 by December 31, 2026?NO0.790.40-100
Will Ethereum reach $2,750 by December 31, 2026?NO0.760.14-164
Will Bitcoin reach $85,000 by December 31, 2026?NO0.750.20-148
Will S&P 500 (SPX) close at $6,500-$7,000 in December?NO0.860.90+9
Will S&P 500 (SPX) hit $8,200 (HIGH) in December?NO0.740.70-9
Will S&P 500 (SPX) close at <$6,000 in December?NO0.890.93+8
Will Ethereum dip to $1,000 by December 31, 2026?NO0.870.94+17
Will Ethereum dip to $1,250 by December 31, 2026?NO0.760.94+46
Will Bitcoin dip to $55,000 by December 31, 2026?NO0.440.88+198
Will Ethereum dip to $1,500 by December 31, 2026?NO0.490.90+169
Will Bitcoin dip to $60,000 by December 31, 2026?NO0.210.82+581
Will Ethereum reach $3,500 by December 31, 2026?NO0.900.68-50
Will Solana dip to $70 by December 31, 2026?NO0.190.82+663
PAPER portfolio — no real orders are ever sent. Entries walk the REAL Polymarket order book (slippage + levels + live fee rate recorded per trade). Seeded positions are marked seed_logged: entered at the price our signal logged when it fired, with the live price at seed time recorded alongside — early mark-to-market gains are inherited from that history and labeled, never claimed as execution. Signals: our published GBM/DVOL fair-value divergences, fee-adjusted, $200 flat stakes.
open positions · 25 rows
slugquestionoutcomesharesavg entrylive pricecurrent valueunrealized pnl
will-solana-dip-to-50-by-december-31-2026-from-june-8Will Solana dip to $50 by December 31, 2026?no322.580.620.93298.3998.39
will-solana-reach-180-by-december-31-2026Will Solana reach $180 by December 31, 2026?no222.220.900.87192.56-7.44
will-solana-reach-160-by-december-31-2026Will Solana reach $160 by December 31, 2026?no224.720.890.79177.53-22.47
will-solana-dip-to-40-by-december-31-2026-343-482Will Solana dip to $40 by December 31, 2026?no277.780.720.95263.8963.89
spx-hit-6200-low-dec-2026Will S&P 500 (SPX) hit $6,200 (LOW) in December?no278.940.720.88244.6344.63
spx-hit-5800-low-dec-2026Will S&P 500 (SPX) hit $5,800 (LOW) in December?no253.160.790.94236.7136.71
spx-hit-5200-low-dec-2026Will S&P 500 (SPX) hit $5,200 (LOW) in December?no222.220.900.95212.2212.22
will-solana-dip-to-20-by-december-31-2026-143-365Will Solana dip to $20 by December 31, 2026?no222.220.900.99219.6719.67
will-ethereum-reach-3000-by-december-31-2026-from-june-8Will Ethereum reach $3,000 by December 31, 2026?no235.290.850.3481.18-118.82
will-solana-dip-to-60-by-december-31-2026-249-524Will Solana dip to $60 by December 31, 2026?no466.200.430.91422.14222.14
will-bitcoin-dip-to-50000-by-december-31-2026-454-325-222-878-949-487-451-853-52Will Bitcoin dip to $50,000 by December 31, 2026?no289.860.690.93268.1268.12
will-bitcoin-reach-95000-by-december-31-2026-from-june-8Will Bitcoin reach $95,000 by December 31, 2026?no238.100.840.62147.62-52.38
will-bitcoin-reach-90000-by-december-31-2026-113-862-581-343Will Bitcoin reach $90,000 by December 31, 2026?no253.160.790.40100.00-100.00
will-ethereum-reach-2750-by-december-31-2026-from-june-8Will Ethereum reach $2,750 by December 31, 2026?no263.160.760.1435.53-164.47
will-bitcoin-reach-85000-by-december-31-2026-from-june-8Will Bitcoin reach $85,000 by December 31, 2026?no266.670.750.2052.00-148.00
spx-close-6500-7000-dec-2026Will S&P 500 (SPX) close at $6,500-$7,000 in December?no232.560.860.90209.309.30
spx-hit-8200-high-dec-2026Will S&P 500 (SPX) hit $8,200 (HIGH) in December?no270.270.740.70190.54-9.46
spx-close-below-6000-dec-2026Will S&P 500 (SPX) close at <$6,000 in December?no224.720.890.93207.877.87
will-ethereum-dip-to-1000-by-december-31-2026-273-175Will Ethereum dip to $1,000 by December 31, 2026?no229.890.870.94217.2417.24
will-ethereum-dip-to-1250-by-december-31-2026-from-june-8Will Ethereum dip to $1,250 by December 31, 2026?no263.160.760.94246.0546.05
will-bitcoin-dip-to-55000-by-december-31-2026-527-627-868-745-188-361-314-673-61Will Bitcoin dip to $55,000 by December 31, 2026?no454.550.440.88397.73197.73
will-ethereum-dip-to-1500-by-december-31-2026-865-787Will Ethereum dip to $1,500 by December 31, 2026?no408.160.490.90368.57168.57
will-bitcoin-dip-to-60k-by-december-31-2026-from-july-21Will Bitcoin dip to $60,000 by December 31, 2026?no952.380.210.82780.95580.95
will-ethereum-reach-3500-by-december-31-2026Will Ethereum reach $3,500 by December 31, 2026?no222.220.900.68150.00-50.00
will-solana-dip-to-70-by-december-31-2026-from-july-6Will Solana dip to $70 by December 31, 2026?no1,052.630.190.82863.16663.16
equity curve · 13 rows
datecashpositions valuetotaln positions
2026-09-065,000.006,482.5111,482.5125
2026-09-075,000.006,472.4711,472.4725
2026-09-085,000.006,506.1411,506.1425
2026-09-105,000.006,551.8211,551.8225
2026-09-115,000.006,478.8011,478.8025
2026-09-125,000.006,469.7611,469.7625
2026-09-135,000.006,468.3411,468.3425
2026-09-145,000.006,462.4711,462.4725
2026-09-155,000.006,493.9011,493.9025
2026-09-165,000.006,517.0511,517.0525
2026-09-175,000.006,571.0311,571.0325
2026-09-185,000.006,569.5711,569.5725
2026-09-195,000.006,583.5811,583.5825
analytics
keyvalue
start_total11,482.51
latest_total11,583.58
return_pct15.84
max_drawdown_pct0.77
n_snapshots13
methodmark-to-market from daily equity snapshots (live midpoints); engine realized-cas
account
keyvalue
starting_balance10,000.00
cash5,000.00
positions_value6,583.58
total_value11,583.58
unrealized_plus_realized_pnl1,583.58
Crowd against model

Crypto binaries: crowd against model Das of 2026-09-19 13:18 UTC

100.050.00.0(ETH K=2700.0): 51.5, 24.9(BTC K=84000.0): 16.1, 7.8(BTC K=80000.0): 47.7, 12.0(BTC K=82000.0): 8.7, 4.1model: GBM on DVOL (%)crowd price (%)
One point per BTC/ETH price binary, n=4 of 15; the rest are held for Full Access. Above the dashed line the crowd pays more than the model; the fee-adjusted gaps are in the pane beside. · Polymarket; Deribit DVOL · available_at 2026-09-19 13:18 UTC
spot
keyvalue
BTC81,324.00
ETH2,641.64
markets · 4 rows
questionsymbolKT daysmodelpoly pfair pfair p dvoldivergence ptsfee adj divergence pts
Will Ethereum reach $2,700 September 14-20?ETH2,700.001.61one-touch 2*N(d2)0.250.430.5117.8016.50
Will Bitcoin reach $84,000 September 14-20?BTC84,000.001.61one-touch 2*N(d2)0.080.010.16-6.90-6.40
Will Bitcoin dip to $80,000 September 14-20?BTC80,000.001.61one-touch 2*N(d2)0.120.190.486.906.20
Will the price of Bitcoin be above $82,000 on September 19?BTC82,000.000.11terminal N(d2)0.040.010.09-3.50-3.20
11 rows and 6 fields withheld at this tier: absent from the page, not hidden in it.

Crypto binaries — model fair value vs crowd Das of 2026-09-19 13:18 UTC

marketcrowdGBM (DVOL-σ)gapfee-adj
Will Ethereum reach $2,700 September 14-20?25%51%+18+16
Will Bitcoin reach $84,000 September 14-20?8%16%-7-6
Will Bitcoin dip to $80,000 September 14-20?12%48%+7+6
Will the price of Bitcoin be above $82,000 on September 19?4%9%-4-3
· touch claims priced by reflection (2·N(d2)); fees per Polymarket Fee-V2 — a gap that doesn't survive fees isn't a gap.

15 stored builds since 2026-09-05 — every numeric leaf of this panel is written to signal_history at each build, so a repeated value can mean the upstream had not published, not that nothing moved.

markets › 0 › K
-5,540.0043,300.0092,140.0009-0509-1009-1509-192,700.00
2026-09-05  2,700.00 → 2026-09-19  2,700.00
markets › 1 › K
-6,420.0042,900.0092,220.0009-0509-1009-1509-1984,000.00
2026-09-05  1,800.00 → 2026-09-19  84,000.00
markets › 10 › K
-6,820.0044,900.0096,620.0009-0509-1009-1509-1967,500.00
2026-09-05  2,600.00 → 2026-09-19  67,500.00
markets › 11 › K
-6,490.0042,050.0090,590.0009-0509-1009-1509-192,100.00
2026-09-05  1,600.00 → 2026-09-19  2,100.00
markets › 12 › K
-6,600.0042,000.0090,600.0009-0509-1009-1509-1970,000.00
2026-09-05  3,300.00 → 2026-09-19  70,000.00
markets › 13 › K
-8,350.0050,750.00109,850.0009-0509-1009-1509-193,300.00
2026-09-05  1,500.00 → 2026-09-19  3,300.00
markets › 14 › K
-7,910.0050,950.00109,810.0009-0509-1009-1509-192,000.00
2026-09-05  82,500.00 → 2026-09-19  2,000.00
markets › 2 › K
-6,020.0040,900.0087,820.0009-0509-1009-1509-1980,000.00
2026-09-05  2,600.00 → 2026-09-19  80,000.00
spot
keyvalue
BTC81,324.00
ETH2,641.64
markets · 4 rows
questionsymbolKT daysmodelpoly pfair pfair p dvoldivergence ptsfee adj divergence pts
Will Ethereum reach $2,700 September 14-20?ETH2,700.001.61one-touch 2*N(d2)0.250.430.5117.8016.50
Will Bitcoin reach $84,000 September 14-20?BTC84,000.001.61one-touch 2*N(d2)0.080.010.16-6.90-6.40
Will Bitcoin dip to $80,000 September 14-20?BTC80,000.001.61one-touch 2*N(d2)0.120.190.486.906.20
Will the price of Bitcoin be above $82,000 on September 19?BTC82,000.000.11terminal N(d2)0.040.010.09-3.50-3.20
11 rows and 6 fields withheld at this tier: absent from the page, not hidden in it.
The Fed path

Fed path: outcome odds by meeting Das of 2026-09-19 13:18 UTC

The stepped chart is held for Full Access: this page carries 4 of 15 rows.
polymarket cross · 4 rows
market titlemeetingbucketpoly pfedwatch pdivergence pts
Will the Fed decrease interest rates by 25 bps after the October 2026 meeting?2026-10cut250.01not reportednot reported
Will the Fed decrease interest rates by 50+ bps after the October 2026 meeting?2026-10cut50+0.00not reportednot reported
Will the Fed increase interest rates by 25 bps after the October 2026 meeting?2026-10hike250.56not reportednot reported
Will the Fed increase interest rates by 50+ bps after the October 2026 meeting?2026-10hike50+0.01not reportednot reported
11 rows and 3 fields withheld at this tier: absent from the page, not hidden in it.

Fed path — odds by meeting Das of 2026-09-19 13:18 UTC

meetingdistribution
2026-10cut25 1% · cut50+ 0% · hike25 56% · hike50+ 1%
October FOMC: Polymarket puts 56% on hike25; CME FedWatch side unavailable (IP-blocked), no divergence computed

15 stored builds since 2026-09-05 — every numeric leaf of this panel is written to signal_history at each build, so a repeated value can mean the upstream had not published, not that nothing moved.

polymarket cross › 0 › poly p
0.000.000.0109-0509-1009-1509-19poly… 0.01
2026-09-05  0.00 → 2026-09-19  0.01
polymarket cross › 1 › poly p
0.000.000.0009-0509-1009-1509-19poly… 0.00
2026-09-05  0.00 → 2026-09-19  0.00
polymarket cross › 10 › poly p
0.020.060.1009-0509-1009-1509-19poly… 0.06
2026-09-05  0.06 → 2026-09-19  0.06
polymarket cross › 11 › poly p
0.000.030.0509-0509-1009-1509-19poly… 0.04
2026-09-05  0.01 → 2026-09-19  0.04
polymarket cross › 12 › poly p
0.260.450.6309-0509-1009-1509-19poly… 0.34
2026-09-05  0.45 → 2026-09-19  0.34
polymarket cross › 13 › poly p
0.010.030.0509-0509-1009-1509-19poly… 0.02
2026-09-05  0.02 → 2026-09-19  0.02
polymarket cross › 14 › poly p
0.320.460.6009-0509-1009-1509-19poly… 0.57
2026-09-05  0.45 → 2026-09-19  0.57
polymarket cross › 2 › poly p
0.410.670.9209-0509-1009-1509-19poly… 0.56
2026-09-05  0.49 → 2026-09-19  0.56
polymarket cross · 4 rows
market titlemeetingbucketpoly pfedwatch pdivergence pts
Will the Fed decrease interest rates by 25 bps after the October 2026 meeting?2026-10cut250.01not reportednot reported
Will the Fed decrease interest rates by 50+ bps after the October 2026 meeting?2026-10cut50+0.00not reportednot reported
Will the Fed increase interest rates by 25 bps after the October 2026 meeting?2026-10hike250.56not reportednot reported
Will the Fed increase interest rates by 50+ bps after the October 2026 meeting?2026-10hike50+0.01not reportednot reported
11 rows and 3 fields withheld at this tier: absent from the page, not hidden in it.
The board through time

Implied odds through time Das of 2026-09-19 13:11 UTC

4%51%98%09-0409-0909-1409-19Will … 16%US mi… 16%Iran … 84%China… 90%Strai… 18%NYSE … 14%
Implied odds of the most persistently tracked contracts, at every stored build. Each track is keyed by the market URL, so a contract that moves position on the board keeps its own line. · our own build archive, 16 builds from 2026-09-04
45 contracts have at least two stored observations. The archive begins 2026-09-04, which is the whole record and the reason these tracks are short.
tracks · 20 rows
markettagpointsfirstlast
Will the U.S. invade Iran before 2027?geopolitics1614.0016.00
US military action against Cuba by...? — US strike on Cuba by December 31?geopolitics1614.0016.00
Iran leader end of 2026? — Will Mojtaba Khamenei be head of state in Iran end ofgeopolitics1684.0084.00
China Annual GDP Growth 2026 — Will China’s 2026 annual GDP growth (Y/Y) be betweconomy1690.0090.00
Strait of Hormuz traffic returns to normal by December 31?geopolitics1626.0018.00
NYSE marketwide circuit breaker before 2027?economy1612.0014.00
Russia x Ukraine ceasefire agreement by...? — Russia x Ukraine ceasefire agreemegeopolitics1622.0022.00
Will Hamas agree to disarm by...? — Will Hamas agree to disarm by December 31?geopolitics1422.0016.00
Largest Company end of December 2026? — Will NVIDIA be the largest company in theconomy1280.0072.00
Prime Minister of Israel after the next election? — Will Benjamin Netanyahu be tgeopolitics1228.0028.00
Warsh out as Fed Chair by…? — Will Warsh be out as Fed Chair by June 30, 2027?fed1110.0010.00
Which companies will the US take a stake in? — Will the US federal government taeconomy1014.0017.00
Will ground beef hit __ in 2026? — Will ground beef hit $10 per pound in 2026?inflation1012.0010.00
Fed rate hike in 2026?fed972.0086.00
What will the Fed rate be at the end of 2026? — Will the upper bound of the targfed910.0032.00
What will the median home value in Chicago Metro be on September 30? — Will the economy612.0013.00
How many dissent at the September Fed meeting? — Will no one dissent the Septembfed610.0010.00
Bank of Japan Decision in October? — No change in Bank of Japan’s interest rateseconomy688.0014.00
Mexico Annual Inflation 2026 — Will Mexico’s 2026 Annual Inflation be between 3.inflation520.0021.00
Fed rate hike by...? — Fed Rate Hike by September 2026 Meeting?fed582.0086.00
scalars
fieldvalue
builds16
tracked contracts45

Depth and concentration through time Das of 2026-09-19 13:11 UTC

117m256m394m09-0409-0909-1409-19boar… 198m
Total volume across every contract on the tracked board, at each stored build. This is how much money stands behind the board as a whole, not the depth of any one order book. · our own build archive, 16 builds from 2026-09-04
1,8982,5233,14909-0409-0909-1409-19HHI 2,027
Herfindahl index of volume shares across the board (0-10,000: 1,500 is competitive, 2,500 concentrated) with the largest single contract's share beside it. A board whose HHI rises while volume is flat is the same money crowding into fewer questions. · our own build archive, 16 builds
board volume
$198m
20 contracts tracked
HHI
2,027
2,500 is a concentrated board
largest contract
34%
of tracked volume
This is board-level concentration of volume, not order-book depth. We do not store the book, so nothing here claims to measure how much size a given contract would absorb; the holder-level question — whether a price is a crowd or five wallets — is the weekly Depth report, which scans the book live.
rows · 16 rows
daten marketsvolume usdhhitop sharetop3 share
2026-09-0412140,351,455.003,044.4046.1581.51
2026-09-0520185,763,530.002,133.3034.9275.16
2026-09-0620185,865,295.002,133.1034.9075.17
2026-09-0720187,200,100.002,120.4034.6875.02
2026-09-0820187,028,953.002,134.1034.7675.28
2026-09-0920188,201,455.002,121.7034.5775.09
2026-09-1020190,077,338.002,095.6034.3974.56
2026-09-1120177,673,091.002,050.7036.9466.40
2026-09-1220158,571,180.002,502.8041.5373.65
2026-09-1320161,407,795.002,423.3040.8472.48
2026-09-1420195,960,176.002,002.5033.7472.96
2026-09-1520371,316,171.002,932.8048.7377.21
2026-09-1620188,533,459.002,183.4035.2676.23
2026-09-1720188,894,509.002,184.0035.2776.22
2026-09-1820197,044,179.002,033.3033.9973.31
2026-09-1920197,564,115.002,026.9033.9473.17

When a contract reprices Das of 2026-09-19 13:11 UTC

The question this pane asks: when a tracked contract reprices by 10 points between builds, what did crude and the VIX do over the following 5 sessions? Geopolitics is the lane worth watching, and in the stored window it has produced 0 such moves — the count is the finding, and the table below carries every tagged lane so the mechanism is visible rather than asserted.

contractlaneoddsmoveWTI 5dVIX 5don
Fed rate hike in 2026?fed78→90+12not yetnot yet2026-09-11
How many Fed rate hikes in 2026? — Will no Fed rate fed22→10-12not yetnot yet2026-09-11
Fed decisions (Jul–Oct) — Will the Fed decide differfed74→84+10not yetnot yet2026-09-12
Fed rate hike by...? — Fed Rate Hike by September 20fed78→88+10not yetnot yet2026-09-14
US recession by end of 2026?economy10→23+13not yetnot yet2026-09-15
Bank of Japan Decision in October? — No change in Baeconomy87→21-66not yetnot yet2026-09-16
US recession by end of 2026?economy23→12-11not yetnot yet2026-09-16
US-Canada diplomatic agreement to lower tariffs by..tariffs20→10-10not yetnot yet2026-09-17
What will the Fed rate be at the end of 2026? — Willfed16→28+12not yetnot yet2026-09-17
Bank of Japan Decision in October? — No change in Baeconomy21→82+61not yetnot yet2026-09-18
Bank of Japan Decision in October? — No change in Baeconomy82→14-68not yetnot yet2026-09-19
11 events in 16 stored builds since 2026-09-04. Forward responses are WTI (FRED DCOILWTICO, per cent) and the VIX (FRED VIXCLS, points) over 5 sessions. WTI: the 5-session window has not closed: the series ends 2026-09-15; VIX: the 5-session window has not closed: the series ends 2026-09-17. No aggregate is published: the event-study floor is 15 events and this is 0, so what stands here is a count and a mechanism, not a claim.
rows · 11 rows
dateprior datetagtitlefromtomove ptsWTIWTI whyVIX
2026-09-112026-09-10fedFed rate hike in 2026?78.0090.0012.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-112026-09-10fedHow many Fed rate hikes in 2026? — Will no Fed rate hikes happen in 2026?22.0010.00-12.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-122026-09-10fedFed decisions (Jul–Oct) — Will the Fed decide differently in the next three deci74.0084.0010.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-142026-09-13fedFed rate hike by...? — Fed Rate Hike by September 2026 Meeting?78.0088.0010.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-152026-09-14economyUS recession by end of 2026?10.0023.0013.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-162026-09-15economyBank of Japan Decision in October? — No change in Bank of Japan’s interest rates87.0021.00-66.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-162026-09-15economyUS recession by end of 2026?23.0012.00-11.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-172026-09-16tariffsUS-Canada diplomatic agreement to lower tariffs by...? — US-Canada diplomatic ag20.0010.00-10.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-172026-09-16fedWhat will the Fed rate be at the end of 2026? — Will the upper bound of the targ16.0028.0012.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-182026-09-17economyBank of Japan Decision in October? — No change in Bank of Japan’s interest rates21.0082.0061.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
2026-09-192026-09-18economyBank of Japan Decision in October? — No change in Bank of Japan’s interest rates82.0014.00-68.00not reportedthe 5-session window has not closed: the series ends 2026-09-15not reported
aggregate · 2 rows
keynunitmeansign consistency
WTI0%not reportednot reported
VIX0ptsnot reportednot reported
scalars
fieldvalue
threshold pts10
horizon days5
n events11
n geopolitics0
Calibration

Are prediction markets calibrated? (154M resolved Kalshi trades, 2021-2026) Cas of 2026-09-06

log loss 0.5016 (trade-time, both sides) — the proper score that punishes confident misses harder than Brier.
100.050.00.0(n=15,527,762): 2.7, 2.4(n=11,196,789): 8.0, 7.4(n=10,382,666): 13.0, 12.2(n=10,281,017): 18.0, 17.6(n=10,585,305): 23.0, 23.9(n=11,055,486): 28.1, 27.9(n=11,745,784): 33.0, 35.3(n=12,827,019): 38.0, 37.9(n=13,501,720): 43.1, 42.8(n=16,287,905): 48.0, 48.0(n=15,854,010): 53.0, 52.9(n=13,242,620): 58.0, 58.5(n=12,601,610): 63.0, 62.9(n=11,630,980): 68.0, 65.7(n=10,914,749): 73.0, 73.1(n=10,537,856): 78.0, 77.2(n=10,193,288): 83.0, 83.7(n=10,559,501): 88.1, 88.9(n=11,384,540): 93.1, 93.6(n=13,033,081): 97.8, 98.0stated price (cents)actual win rate (%)
Trade-time Brier 0.1685 · ECE 0.0072 · 121,671,888 trades analyzed. The dashed line is perfect calibration (price == win rate); points below it are prices the crowd habitually paid too much for. · 154M resolved Kalshi trades, 2021-2026 (grade C, n per point)
priceactual win ratetrades
2.72.4%15,527,762
8.07.4%11,196,789
13.012.2%10,382,666
18.017.6%10,281,017
23.023.9%10,585,305
28.127.9%11,055,486
33.035.3%11,745,784
38.037.9%12,827,019
43.142.8%13,501,720
48.048.0%16,287,905
53.052.9%15,854,010
58.058.5%13,242,620
63.062.9%12,601,610
68.065.7%11,630,980
73.073.1%10,914,749
78.077.2%10,537,856
83.083.7%10,193,288
88.188.9%10,559,501
93.193.6%11,384,540
97.898.0%13,033,081
trade-time Brier 0.1685 · ECE 0.0072 · 121,671,888 trades analyzed
· Across 121,671,888 resolved trades (both sides scored), Kalshi prices are remarkably well calibrated at trade time: ECE 0.7%, trade-time Brier 0.1685 vs the 0.25 coin-flip baseline.
· Longshot bias is real and asymmetric: takers buying 1-20c contracts average -1.3c EV per contract on the YES side and -1.1c on the NO side — the lottery-ticket buyer funds the market.
· The mirror image: takers of 81-99c favorites average -0.7c (YES) and -0.2c (NO) per contract — being boring pays roughly its keep.
· Longshots still pull volume: 1-20c contracts took 30.5% of taker contract volume in the latest quarter.
The AI Forecasts board publishes our resolvable bets with base rates and 3-pass reasoning; every resolution is Brier-scored in public against the base-rate benchmark.
The weekly Depth report asks who is actually behind each price — concentration, whales-vs-price divergences, flow. The Calibration report scores the market itself against resolutions with Venn-ABERS bands.

Expected value in cents per contract of taking YES or NO at each price bucket, over every resolved trade.

ev by side · 21 rows
price bucketev yesn yesev non no
-4-0cnot reported018.1844
1-5c-0.906,244,579-0.822,742,169
6-10c-1.475,132,151-1.221,409,075
11-15c-1.684,757,257-1.431,215,293
16-20c-1.264,732,423-1.511,167,190
21-25c0.414,801,333-0.731,158,627
26-30c-1.545,042,834-0.891,209,866
31-35c1.624,965,4030.261,283,011
36-40c-2.025,313,385-0.821,427,393
41-45c-2.855,079,751-0.051,549,041
46-50c-2.095,987,0290.122,195,379
51-55c-2.175,559,7060.152,382,683
56-60c-1.874,665,405-0.151,996,360
61-65c-2.194,190,738-0.171,812,968
66-70c-5.003,525,456-0.741,776,726
71-75c-1.742,972,744-0.311,776,642
76-80c-3.012,754,783-0.641,853,384
81-85c-0.542,360,581-0.161,940,645
86-90c-0.682,323,1040.012,163,746
91-95c-0.792,206,723-0.302,542,570
96-99c-0.942,086,536-0.233,367,155

Mean absolute deviation between price and realised frequency, by year and by month — whether the crowd is getting better.

calibration mad by year · 6 rows
yearmad cents
20210.59
20221.92
20232.00
20244.47
20252.18
20261.05
calibration mad by month · 51 rows
monthmad centsn
2021-081.452,282
2021-100.523,034
2021-110.392,012
2021-120.062,462
2022-010.905,906
2022-042.934,280
2022-051.99127,214
2022-061.96224,796
2022-072.45229,908
2022-081.12297,818
2022-092.02249,188
2022-101.80208,634
2022-112.46168,694
2022-122.06124,122
2023-012.7353,088
2023-022.88100,578
2023-031.23351,430
2023-041.71271,242
2023-052.52463,642
2023-061.35421,682
2023-072.79443,192
2023-082.22244,042
2023-091.59207,136
2023-101.52316,192
2023-112.01191,146
2023-122.43218,992
2024-013.01385,032
2024-021.63372,168
2024-031.88353,356
2024-041.63337,132
2024-051.31241,464
2024-062.11232,672
2024-071.98249,528
2024-081.61220,996
2024-093.67217,104
2024-1012.41870,024
2024-115.735,123,450
2024-120.922,016,926
2025-010.942,427,836
2025-022.353,364,986
2025-034.125,529,812
2025-043.443,930,924
2025-052.454,726,954
2025-062.945,838,492
2025-071.855,694,832
2025-081.595,908,696
2025-092.5813,549,064
2025-102.7019,697,290
2025-111.1215,550,418
2025-121.9554,292,896
2026-011.0586,603,532

14 stored builds since 2026-09-06 — every numeric leaf of this panel is written to signal_history at each build, so a repeated value can mean the upstream had not published, not that nothing moved.

brier trade time
0.160.170.1809-0609-1009-1509-19brie… 0.17
2026-09-06  0.17 → 2026-09-19  0.17
ece
0.010.010.0109-0609-1009-1509-19ece 0.01
2026-09-06  0.01 → 2026-09-19  0.01
log loss
0.480.500.5309-0609-1009-1509-19log … 0.50
2026-09-06  0.50 → 2026-09-19  0.50
longshot volume share latest
0.290.310.3209-0609-1009-1509-19long… 0.31
2026-09-06  0.31 → 2026-09-19  0.31
n resolved markets
3,536,198.303,722,314.003,908,429.7009-0609-1009-1509-193,722,314.00
2026-09-06  3,722,314.00 → 2026-09-19  3,722,314.00
n trades analyzed
115,588,293.60121,671,888.00127,755,482.4009-0609-1009-1509-19121,671,888.00
2026-09-06  121,671,888.00 → 2026-09-19  121,671,888.00
calibration · 5 rows
pricewin raten
2.700.0215,527,762
8.000.0711,196,789
13.000.1210,382,666
18.000.1810,281,017
23.000.2410,585,305
ev by side · 6 rows
price bucketev yesn yesev non no
-4-0cnot reported018.1844
1-5c-0.906,244,579-0.822,742,169
6-10c-1.475,132,151-1.221,409,075
11-15c-1.684,757,257-1.431,215,293
16-20c-1.264,732,423-1.511,167,190
21-25c0.414,801,333-0.731,158,627
longshot volume share by quarter · 5 rows
quartersharecontracts
2021-Q20.005
2021-Q30.273,700,853
2021-Q40.246,047,822
2022-Q10.297,442,620
2022-Q20.3718,979,098
calibration mad by year · 2 rows
yearmad cents
20210.59
20221.92
calibration mad by month · 13 rows
monthmad centsn
2021-081.452,282
2021-100.523,034
2021-110.392,012
2021-120.062,462
2022-010.905,906
2022-042.934,280
2022-051.99127,214
2022-061.96224,796
2022-072.45229,908
2022-081.12297,818
2022-092.02249,188
2022-101.80208,634
2022-112.46168,694
scalars
fieldvalue
datasetTrevorJS/kalshi-trades
n trades analyzed121,671,888
n resolved markets3,722,314
brier trade time0.17
ece0.01
log loss0.50
90 rows and 5 fields withheld at this tier: absent from the page, not hidden in it.

Crowd convergence — GEOPOLITICS Das of 2026-09-19 13:11 UTC

16 stored builds since 2026-09-04 — every numeric leaf of this panel is written to signal_history at each build, so a repeated value can mean the upstream had not published, not that nothing moved.

rows › 0 › score
0.830.860.9009-0409-0909-1409-19rows… 0.84
2026-09-04  0.85 → 2026-09-19  0.84
rows › 1 › score
0.830.850.8709-0409-0909-1409-19rows… 0.83
2026-09-04  0.84 → 2026-09-19  0.83
rows › 10 › score
0.660.720.7909-0409-0909-1409-19rows… 0.71
2026-09-04  0.73 → 2026-09-19  0.71
rows › 11 › score
0.650.700.7509-0409-0909-1409-19rows… 0.70
2026-09-04  0.72 → 2026-09-19  0.70
rows › 2 › score
0.820.840.8609-0409-0909-1409-19rows… 0.82
2026-09-04  0.83 → 2026-09-19  0.82
rows › 3 › score
0.770.810.8509-0409-0909-1409-19rows… 0.82
2026-09-04  0.78 → 2026-09-19  0.82
rows › 4 › score
0.720.790.8609-0409-0909-1409-19rows… 0.79
2026-09-04  0.76 → 2026-09-19  0.79
rows › 5 › score
0.720.780.8409-0409-0909-1409-19rows… 0.79
2026-09-04  0.76 → 2026-09-19  0.79
rows · 5 rows
titleyesmodulevolumeendtagurlscore
Will the U.S. invade Iran before 2027?16geopolitics67,062,5502027-01-01geopoliticshttps://polymarket.com/event/will-the-us-invade-iran-before-20270.84
Iran leader end of 2026? — Will Mojtaba Khamenei be head of state in Iran end of84geopolitics39,494,8382026-12-31geopoliticshttps://polymarket.com/event/iran-leader-end-of-20260.83
Strait of Hormuz traffic returns to normal by December 31?18geopolitics11,834,5052027-01-01geopoliticshttps://polymarket.com/event/strait-of-hormuz-traffic-returns-to-normal-by-decem0.82
US military action against Cuba by...? — US strike on Cuba by December 31?16geopolitics7,411,1352027-01-01geopoliticshttps://polymarket.com/event/us-strike-on-cuba-by0.82
Where will the next next round of US-Iran peace talks be...? — Will no qualifyin85geopolitics6,106,7682026-10-01geopoliticshttps://polymarket.com/event/where-will-the-next-next-round-of-us-iran-peace-tal0.79
15 rows and 2 fields withheld at this tier: absent from the page, not hidden in it.
Deeper cuts

Through time — level, distribution, seasonality and range Cas of 2026-09-19 13:06 UTC

36 headline series across 10 desks, each read four ways: level against its own trailing mean, position in its full history, calendar-month seasonality, and an empirical 63-day range. The most stretched is Copper at the 100th percentile of 415 observations back to 1992-01-01. Only 3 of 36 show a calendar pattern larger than their own noise (Gasoline (Gulf), 2s10s slope, 5y breakeven) — the rest are shown with that stated, because a seasonal chart drawn on noise is the most convincing bad chart in finance. Behind the tabs: 18 distinct series decomposed with statsmodels 0.14.6, 18 with a two-state Markov filter and 18 with an analog episode table scored against a linked price.

level
15.44
pct · as of 2026-09-17
percentile
35
of 9,276 obs since 1990
percentile, 5y
26
of 1,287 obs
vs 13w mean
-0.49
level minus its own quarter
vs 52w mean
-2.71
level minus its own year
year on year
-0.01
same week last year
9.9328.6247.312021-10-012022-12-302024-03-292025-06-272026-09-18level 15.44MSTL … 17.65
MSTL with periods 5 and 52 on 1916 weekly observations from 1990-01-05. The trend is drawn over the level and the remainder under it; nothing here is extrapolated. The trend explains 67% of the variance the remainder does not (Hyndman's trend strength); the seasonal component explains 16%. · FRED VIXCLS · statsmodels 0.14.6
-9.5684.02817.6252021-10-012022-12-302024-03-292025-06-272026-09-18rema… -1.450
What the trend and the seasonal do not account for, on the same dates. A remainder that trends is a decomposition that has missed something, which is why it is drawn rather than described. · FRED VIXCLS
9.1482.69now
The whole history as a distribution, with today marked. Median 17.58 over 9,276 observations. · FRED VIXCLS
0%50%100%last 5 yearsnow · 36th9.1482.69
The same record read cumulatively: today sits at the 35 percentile of the full history (n=9,276) and the 26 of the last five years (n=1,287). A level extreme against forty years and ordinary against five is a different fact from one that is extreme against both. · FRED VIXCLS
+0.3Jan+0.8Feb-0.4Mar-1.2Apr-0.7May-0.2Jun+0.4Jul+1.4Aug+1.5Sep+0.3Oct-1.9Nov-0.4Decno significant pattern~37 yrs/bar
The spread of monthly means is no larger than the noise — this series has no seasonal worth trading. Kruskal-Wallis across calendar months; the corner figure is the average number of years behind each bar. · FRED VIXCLS
-5.2792.0539.3852021-10-012022-12-302024-03-292025-06-272026-09-18seas… -0.184
The MSTL seasonal component itself, at periods 5 and 52. Drawn rather than summarised because a seasonal that changes shape year to year is not one a reader can plan against, and the chart shows that where a single average would hide it. · FRED VIXCLS · statsmodels 0.14.6
23.097.9621.1515.44
Where this has historically gone over 63 trading days: 10th to 90th percentile of 9,188 realised moves, applied to today. A base rate for sizing, not a forecast. · FRED VIXCLS
downside (10th)
7.96
-7.48
median path
14.85
50th percentile
upside (90th)
23.09
+7.65
Markov-filtered mean
-0.144
per week, state-weighted
The band above is unconditional: it does not know what state we are in. The filtered mean beside it does — it is the two-state Markov model's mean weighted by today's filtered probability (3 of the high-volatility state). The two disagree when the current state is unusual, which is the point of printing both.
state
low volatility
since 2026-06-19
P(high vol) now
3
filtered, this week
persisted
14
weeks (98 days)
P(exit in 4w)
21.7%
5 of 23 spells this old
spells on record
173
86 completed in this state
-3%51%106%2021-10-012022-12-302024-03-292025-06-272026-09-18P(high v… 3%
Two-state Markov-switching model with switching variance, fitted on 1300 weekly change in level. The line is the FILTERED probability of the high-volatility state — a statement about weeks that have happened, not a forecast. Exit counts are empirical spell counts, not the model's expected durations. · FRED VIXCLS · statsmodels 0.14.6
9.9328.6247.312021-10-012022-12-302024-03-292025-06-272026-09-18level 15.44
The same weeks on the level: shaded stretches are the ones the filter puts in the high-volatility state. Mean -0.161 per week at 1.687 standard deviation in the calm state against +0.388 at 5.723 in the volatile one. · FRED VIXCLS · MarkovRegression(k_regimes=2, trend='c', switching_variance=True)
level
19.96
pct · as of 2026-09-17
percentile
44
of 6,444 obs since 2001
percentile, 5y
30
of 1,255 obs
vs 13w mean
-4.16
level minus its own quarter
vs 52w mean
-3.96
level minus its own year
year on year
+1.22
same week last year
13.6627.5541.442021-10-012022-12-302024-03-292025-06-272026-09-18level 19.96MSTL … 25.59
MSTL with periods 5 and 52 on 1338 weekly observations from 2001-02-02. The trend is drawn over the level and the remainder under it; nothing here is extrapolated. The trend explains 81% of the variance the remainder does not (Hyndman's trend strength); the seasonal component explains 16%. · FRED VXNCLS · statsmodels 0.14.6
-9.1622.56114.2842021-10-012022-12-302024-03-292025-06-272026-09-18rema… -3.296
What the trend and the seasonal do not account for, on the same dates. A remainder that trends is a decomposition that has missed something, which is why it is drawn rather than described. · FRED VXNCLS
10.3180.64now
The whole history as a distribution, with today marked. Median 21.23 over 6,444 observations. · FRED VXNCLS
0%50%100%last 5 yearsnow · 43th10.3180.64
The same record read cumulatively: today sits at the 44 percentile of the full history (n=6,444) and the 30 of the last five years (n=1,255). A level extreme against forty years and ordinary against five is a different fact from one that is extreme against both. · FRED VXNCLS
+1.3Jan+0.2Feb-0.9Mar-1.0Apr-1.1May+0.4Jun-0.2Jul+0.8Aug+2.0Sep+0.2Oct-2.5Nov-0.8Decno significant pattern~26 yrs/bar
The spread of monthly means is no larger than the noise — this series has no seasonal worth trading. Kruskal-Wallis across calendar months; the corner figure is the average number of years behind each bar. · FRED VXNCLS
-5.6880.3576.4022021-10-012022-12-302024-03-292025-06-272026-09-18seas… -1.255
The MSTL seasonal component itself, at periods 5 and 52. Drawn rather than summarised because a seasonal that changes shape year to year is not one a reader can plan against, and the chart shows that where a single average would hide it. · FRED VXNCLS · statsmodels 0.14.6
28.5210.2224.8419.96
Where this has historically gone over 63 trading days: 10th to 90th percentile of 6,356 realised moves, applied to today. A base rate for sizing, not a forecast. · FRED VXNCLS
downside (10th)
10.22
-9.74
median path
19.07
50th percentile
upside (90th)
28.52
+8.56
Markov-filtered mean
-0.142
per week, state-weighted
The band above is unconditional: it does not know what state we are in. The filtered mean beside it does — it is the two-state Markov model's mean weighted by today's filtered probability (2 of the high-volatility state). The two disagree when the current state is unusual, which is the point of printing both.
state
low volatility
since 2026-07-24
P(high vol) now
2
filtered, this week
persisted
9
weeks (63 days)
P(exit in 4w)
18.5%
5 of 27 spells this old
spells on record
127
63 completed in this state
-4%51%106%2021-10-012022-12-302024-03-292025-06-272026-09-18P(high v… 2%
Two-state Markov-switching model with switching variance, fitted on 1300 weekly change in level. The line is the FILTERED probability of the high-volatility state — a statement about weeks that have happened, not a forecast. Exit counts are empirical spell counts, not the model's expected durations. · FRED VXNCLS · statsmodels 0.14.6
13.6627.5541.442021-10-012022-12-302024-03-292025-06-272026-09-18level 19.96
The same weeks on the level: shaded stretches are the ones the filter puts in the high-volatility state. Mean -0.157 per week at 1.982 standard deviation in the calm state against +0.426 at 5.643 in the volatile one. · FRED VXNCLS · MarkovRegression(k_regimes=2, trend='c', switching_variance=True)
level
1.44
pct · as of 2026-09-17
percentile
2
of 10,178 obs since 1986
percentile, 5y
5
of 1,245 obs
vs 13w mean
-0.14
level minus its own quarter
vs 52w mean
-0.22
level minus its own year
year on year
-0.24
same week last year
1.321.902.482021-10-012022-12-302024-03-292025-06-272026-09-18level 1.44MSTL t… 1.52
MSTL with periods 5 and 52 on 2125 weekly observations from 1986-01-03. The trend is drawn over the level and the remainder under it; nothing here is extrapolated. The trend explains 91% of the variance the remainder does not (Hyndman's trend strength); the seasonal component explains 16%. · FRED BAA10Y · statsmodels 0.14.6
-0.387-0.0260.3362021-10-012022-12-302024-03-292025-06-272026-09-18rema… -0.048
What the trend and the seasonal do not account for, on the same dates. A remainder that trends is a decomposition that has missed something, which is why it is drawn rather than described. · FRED BAA10Y
1.166.16now
The whole history as a distribution, with today marked. Median 2.13 over 10,178 observations. · FRED BAA10Y
0%50%100%last 5 yearsnow · 2th1.166.16
The same record read cumulatively: today sits at the 2 percentile of the full history (n=10,178) and the 5 of the last five years (n=1,245). A level extreme against forty years and ordinary against five is a different fact from one that is extreme against both. · FRED BAA10Y
-0.0Jan+0.0Feb+0.0Mar-0.1Apr+0.0May+0.0Jun-0.0Jul+0.0Aug+0.0Sep+0.0Oct-0.0Nov-0.0Decno significant pattern~41 yrs/bar
The spread of monthly means is no larger than the noise — this series has no seasonal worth trading. Kruskal-Wallis across calendar months; the corner figure is the average number of years behind each bar. · FRED BAA10Y
-0.1820.0020.1862021-10-012022-12-302024-03-292025-06-272026-09-18seas… -0.035
The MSTL seasonal component itself, at periods 5 and 52. Drawn rather than summarised because a seasonal that changes shape year to year is not one a reader can plan against, and the chart shows that where a single average would hide it. · FRED BAA10Y · statsmodels 0.14.6
1.891.021.851.44
Where this has historically gone over 63 trading days: 10th to 90th percentile of 10,090 realised moves, applied to today. A base rate for sizing, not a forecast. · FRED BAA10Y
downside (10th)
1.02
-0.42
median path
1.40
50th percentile
upside (90th)
1.89
+0.45
Markov-filtered mean
-0.004
per week, state-weighted
The band above is unconditional: it does not know what state we are in. The filtered mean beside it does — it is the two-state Markov model's mean weighted by today's filtered probability (2 of the high-volatility state). The two disagree when the current state is unusual, which is the point of printing both.
state
low volatility
since 2025-04-18
P(high vol) now
2
filtered, this week
persisted
75
weeks (525 days)
P(exit in 4w)
0.0%
0 of 4 spells this old
spells on record
84
42 completed in this state
-5%50%106%2021-10-012022-12-302024-03-292025-06-272026-09-18P(high v… 2%
Two-state Markov-switching model with switching variance, fitted on 1300 weekly change in level. The line is the FILTERED probability of the high-volatility state — a statement about weeks that have happened, not a forecast. Exit counts are empirical spell counts, not the model's expected durations. · FRED BAA10Y · statsmodels 0.14.6
1.321.902.482021-10-012022-12-302024-03-292025-06-272026-09-18level 1.44
The same weeks on the level: shaded stretches are the ones the filter puts in the high-volatility state. Mean -0.004 per week at 0.049 standard deviation in the calm state against +0.012 at 0.176 in the volatile one. · FRED BAA10Y · MarkovRegression(k_regimes=2, trend='c', switching_variance=True)

VIX · last 15.44 as of 2026-09-17 · 9,276 observations from 1990-01-02

9.9328.6247.312021-10-012022-12-302024-03-292025-06-272026-09-18VIX 15.44
Five years of VIX with the high-volatility weeks shaded, from the same two-state filter the Regime tab draws. One state, one shading, every tab. · FRED VIXCLS

The last 8 times this looked like today — and what S&P 500 did next

episodezlevelS&P 500 +5dS&P 500 +21d
2026-07-31-0.6615.99+3.58%+2.62%
2026-07-06-0.7415.57-0.29%+2.64%
2026-06-15-0.6016.20-1.08%-0.14%
2026-05-25-0.5216.59+1.08%-2.04%
2026-01-22-0.5815.64+0.81%-0.06%
2025-12-29-0.9014.20-0.05%+1.06%
2025-12-03-0.5116.08+0.54%+0.13%
2025-09-05-0.5215.18+1.59%+3.99%
z in [-1.0, -0.5) · n=293 episodes · 21-session hit rate 18% · median +5d 0.00, +21d 0.00 · grade C
Episodes when this series last sat in the same trailing-365-observation z bucket, with the forward 5- and 21-session move of S&P 500. 293 episodes at least 21 days apart; the table shows the most recent 8. A conditional distribution with its count, not a signal.

Nasdaq vol (VXN) · last 19.96 as of 2026-09-17 · 6,444 observations from 2001-02-02

13.6627.5541.442021-10-012022-12-302024-03-292025-06-272026-09-18Nasda… 19.96
Five years of Nasdaq vol (VXN) with the high-volatility weeks shaded, from the same two-state filter the Regime tab draws. One state, one shading, every tab. · FRED VXNCLS

The last 8 times this looked like today — and what Nasdaq 100 did next

episodezlevelNasdaq 100 +5dNasdaq 100 +21d
2026-08-12-0.6120.97-1.06%-2.15%
2025-12-29-0.8318.39-0.49%+1.62%
2025-12-05-0.5019.62-1.93%-1.13%
2025-09-12-0.6518.18+2.22%+2.73%
2025-08-22-0.6718.06-0.35%+5.37%
2025-07-30-0.8317.32-0.13%+1.53%
2025-07-09-0.5018.71+0.19%+2.29%
2024-12-24-0.8517.03-3.60%+0.25%
z in [-1.0, -0.5) · n=182 episodes · 21-session hit rate 66% · median +5d 0.40, +21d 1.73 · grade C
Episodes when this series last sat in the same trailing-365-observation z bucket, with the forward 5- and 21-session move of Nasdaq 100. 182 episodes at least 21 days apart; the table shows the most recent 8. A conditional distribution with its count, not a signal.

Baa credit spread · last 1.44 as of 2026-09-17 · 10,178 observations from 1986-01-02

1.321.902.482021-10-012022-12-302024-03-292025-06-272026-09-18Baa cr… 1.44
Five years of Baa credit spread with the high-volatility weeks shaded, from the same two-state filter the Regime tab draws. One state, one shading, every tab. · FRED BAA10Y

The last 8 times this looked like today — and what S&P 500 did next

episodezlevelS&P 500 +5dS&P 500 +21d
2024-04-10-2.141.40-2.68%+1.04%
2024-02-22-2.091.49+0.18%+2.89%
2023-12-06-2.051.63+3.47%+3.06%
2023-09-21-2.311.66-0.70%-2.44%
2018-02-01-2.341.56-8.54%-4.63%
2018-01-11-2.081.69+1.10%-5.35%
2017-01-25-2.032.21-0.82%+2.85%
2017-01-04-2.162.25+0.20%+0.44%
z in [-99.0, -2.0) · n=38 episodes · 21-session hit rate 16% · median +5d 0.00, +21d 0.00 · grade C
Episodes when this series last sat in the same trailing-365-observation z bucket, with the forward 5- and 21-session move of S&P 500. 38 episodes at least 21 days apart; the table shows the most recent 8. A conditional distribution with its count, not a signal.

What changed since last week

leafthennowchangecompared with
horizon days63.0063.00unchanged2026-09-12
n series33.0036.00+32026-09-12
n panels18.0018.00unchanged2026-09-18
1 of 3 headline leaves moved. A repeated value can mean the upstream had not published, not that nothing happened.
ACF of the remainder · 3 rows
seriesnlags outside 95 bandfirst lag outsideconf95reading
VIX260510.12Autocorrelation of the MSTL remainder over 24 lags, with the 95% band at ±0.122,
Nasdaq vol (VXN)260410.12Autocorrelation of the MSTL remainder over 24 lags, with the 95% band at ±0.122,
Baa credit spread2601510.12Autocorrelation of the MSTL remainder over 24 lags, with the 95% band at ±0.122,
Harvey-Jaeger style structural check: the autocorrelation of the decomposition's remainder against a 95% band. Lags outside the band mean the trend and seasonal have not taken everything systematic out of the series. This is Method content. It is not a forecast and nothing is extrapolated from it.
series · 3 rows
labelseries idunitkindlastas offirst obsn obsma 13wvs 13w
VIXVIXCLSpctlevel15.442026-09-171990-01-029,27615.93-0.49
Nasdaq vol (VXN)VXNCLSpctlevel19.962026-09-172001-02-026,44424.12-4.16
Baa credit spreadBAA10Ypctlevel1.442026-09-171986-01-0210,1781.58-0.14
scalars
fieldvalue
horizon days63
n series36
statsmodels version0.14.6
statsmodels pinned0.14.6
statsmodels errornot reported
4 rows and 1 field withheld at this tier: absent from the page, not hidden in it.
How the figures on this page are constructed is proprietary. For methodology questions, write to e@finkfi.com.