Runs and registry
Every blind simulated year that has been revealed, the weekly self-adjustments, and the append-only registry of experiments.
Revealed windows
39
0 still sealed and not shown
Beat the market
26 of 39
Weeks at +7% or better
122
Registry records
85
Report files
33
Blind simulated years
Each row is one 12-month window that was tested blind and has since been revealed. Windows still sealed are not listed, and their contents are never read by this site. Mean-week trend across windows:
| Run | Year | Era | Mean week | Weeks ≥ +7% | Weeks ≤ −7% | Year return | Market | vs market | Max drawdown | Brakes |
|---|---|---|---|---|---|---|---|---|---|---|
| r11c | 1967 | 1960s | +0.89% | 3 | 0 | +54.5% | +20.1% | beat | -13.1% | 2 |
| r06a | 1968 | 1960s | -0.18% | 1 | 0 | -11.1% | +7.7% | lost | -21.4% | 0 |
| r01b | 1969 | 1960s | -0.65% | 0 | 1 | -30.5% | -12.1% | lost | -39.3% | 1 |
| r08c | 1971 | 1970s | +0.75% | 1 | 0 | +43.2% | +10.8% | beat | -23.8% | 0 |
| r07c | 1974 | 1970s | +0.20% | 6 | 4 | +4.0% | -29.7% | beat | -30.6% | 2 |
| r03a | 1975 | 1970s | +0.41% | 0 | 0 | +21.2% | +34.3% | lost | -28.2% | 1 |
| r04a | 1976 | 1970s | +0.53% | 3 | 0 | +29.0% | +19.1% | beat | -10.6% | 0 |
| r08a | 1977 | 1970s | +0.01% | 0 | 0 | -0.7% | -11.5% | beat | -17.0% | 0 |
| r08b | 1978 | 1970s | +1.01% | 3 | 2 | +61.2% | +1.1% | beat | -19.3% | 0 |
| r05b | 1979 | 1970s | +0.70% | 2 | 1 | +41.6% | +12.3% | beat | -13.6% | 1 |
| r09a | 1980 | 1980s | +1.29% | 3 | 0 | +89.2% | +25.9% | beat | -22.4% | 0 |
| r11a | 1981 | 1980s | -0.42% | 0 | 1 | -21.3% | -10.3% | lost | -26.7% | 4 |
| r02b | 1983 | 1980s | +1.24% | 2 | 0 | +84.3% | +17.3% | beat | -13.4% | 0 |
| r03b | 1984 | 1980s | +0.63% | 6 | 3 | +32.4% | +1.4% | beat | -25.6% | 2 |
| r12b | 1985 | 1980s | +1.15% | 3 | 2 | +75.1% | +27.1% | beat | -17.8% | 3 |
| r01c | 1987 | 1980s | +0.16% | 3 | 3 | +1.9% | +0.1% | beat | -42.1% | 3 |
| r02a | 1987 | 1980s | -0.01% | 4 | 4 | -7.0% | +0.1% | lost | -47.4% | 4 |
| r12a | 1988 | 1980s | +0.88% | 3 | 0 | +53.2% | +12.4% | beat | -11.5% | 0 |
| r06b | 1989 | 1980s | +1.06% | 4 | 1 | +67.2% | +27.3% | beat | -21.2% | 0 |
| r12c | 1993 | 1990s | +0.30% | 4 | 3 | +10.8% | +7.1% | beat | -21.3% | 3 |
| r05a | 1994 | 1990s | +0.12% | 9 | 4 | -6.7% | -1.5% | lost | -43.1% | 3 |
| r13a | 1995 | 1990s | +1.33% | 3 | 0 | +91.4% | +34.1% | beat | -13.1% | 0 |
| r07b | 1996 | 1990s | +0.88% | 2 | 4 | +49.0% | +20.3% | beat | -30.1% | 1 |
| r05c | 1999 | 1990s | +0.79% | 4 | 6 | +36.5% | +19.5% | beat | -33.1% | 5 |
| r11b | 2004 | 2000s | +0.63% | 2 | 2 | +34.7% | +12.3% | beat | -15.2% | 4 |
| r02c | 2005 | 2000s | +0.75% | 3 | 0 | +42.5% | +4.8% | beat | -18.4% | 0 |
| r04b | 2006 | 2000s | +0.91% | 3 | 2 | +53.3% | +15.8% | beat | -15.3% | 2 |
| r10b | 2008 | 2000s | +0.56% | 10 | 9 | -1.4% | -37.3% | beat | -69.1% | 0 |
| r10c | 2008 | 2000s | +0.25% | 12 | 10 | -9.8% | -37.3% | beat | -61.4% | 0 |
| r13c | 2011 | 2010s | -0.21% | 4 | 3 | -15.0% | +1.9% | lost | -32.1% | 3 |
| r13b | 2015 | 2010s | +0.37% | 0 | 0 | +20.6% | -0.2% | beat | -8.5% | 0 |
| r01a | 2016 | 2010s | +0.12% | 1 | 2 | +3.0% | +12.0% | lost | -20.2% | 2 |
| r04c | 2017 | 2010s | +0.20% | 1 | 1 | +4.7% | +21.7% | lost | -29.0% | 1 |
| r09b | 2018 | 2010s | +0.12% | 3 | 3 | +1.2% | -4.6% | beat | -24.4% | 0 |
| r06c | 2019 | 2010s | +0.42% | 0 | 0 | +24.3% | +32.4% | lost | -4.1% | 0 |
| r10a | 2020 | 2020s | +1.89% | 10 | 6 | +117.8% | +18.0% | beat | -57.3% | 0 |
| r03c | 2022 | 2020s | -0.81% | 3 | 3 | -39.1% | -18.2% | lost | -49.8% | 2 |
| r07a | 2023 | 2020s | +0.36% | 1 | 0 | +18.7% | +26.2% | lost | -11.2% | 0 |
| r09c | 2025 | 2020s | -0.89% | 0 | 1 | -39.4% | +16.0% | lost | -42.6% | 0 |
By era
| Era | Windows | Mean weekly return | Beat market | Weeks ≥ +7% per window | Worst drawdown |
|---|---|---|---|---|---|
| 1960s | 3 | +0.02% | 33% | 1.33 | -39.3% |
| 1970s | 7 | +0.52% | 86% | 2.14 | -30.6% |
| 1980s | 9 | +0.66% | 78% | 3.11 | -47.4% |
| 1990s | 5 | +0.68% | 80% | 4.40 | -43.1% |
| 2000s | 5 | +0.62% | 100% | 6.00 | -69.1% |
| 2010s | 6 | +0.17% | 33% | 1.50 | -32.1% |
| 2020s | 4 | +0.14% | 25% | 3.50 | -57.3% |
Eras with few windows say little; the count is shown for that reason.
Weekly self-adjustment rounds
| Round | Adjustment | Avg week before | Avg week after | Note |
|---|---|---|---|---|
| 1 | adopted | -0.191% | +0.169% | voided re-tester did not reproduce the live trader (sold names stayed 'held'); adjustment discarded |
| 2 | adopted | +0.269% | +0.702% | |
| 3 | not adopted | +0.493% | +0.493% | |
| 4 | not adopted | +0.506% | +0.506% | |
| 5 | not adopted | +0.512% | +0.512% | |
| 6 | not adopted | +0.499% | +0.548% | |
| 7 | adopted | +0.497% | +0.574% | |
| 8 | not adopted | +0.576% | +0.587% | |
| 9 | not adopted | +0.531% | +0.565% | |
| 10 | adopted | +0.568% | +0.419% | |
| 11 | adopted | +0.415% | +0.523% | |
| 12 | adopted | +0.549% | +0.648% | |
| 13 | not adopted | +0.637% | +0.637% |
Experiment registry
Append-only log of every experiment, including failures. Sort by column or filter by event.
| Event | Records |
|---|---|
| livesim_cycle | 39 |
| planted_calibration | 13 |
| loop2_basis_search | 5 |
| loop2_round | 5 |
| learner_search | 4 |
| frontier | 2 |
| historical_test | 2 |
| tuning_lab | 2 |
| voltarget_offline | 2 |
| learning_delta | 2 |
| leak_audit | 2 |
| walk_forward | 1 |
| topk_rules | 1 |
| challenger_historical | 1 |
| rolled_back | 1 |
| replay_year | 1 |
| voided_adjustment | 1 |
| miner_self_tuning | 1 |
| Provenance field | Records that carry it |
|---|---|
| git_commit | 40% (early records predate it) |
| canon_sha | 40% (early records predate it) |
| bible_sha | 40% (early records predate it) |
| blueprint_version | 40% (early records predate it) |
| config_hash | 33% (early records predate it) |
| data_snapshot | 40% (early records predate it) |
| seed | 38% (early records predate it) |
| When | Event | Experiment id | Result | Provenance |
|---|---|---|---|---|
| 2026-09-29T12:29:08 | loop2_basis_search | E6407b2dc1144bf0e | code_hash=32c942c54dff3d71, adopted=False, reason=no confirmed candidate beat the incumben, n_windows=40, n_screen=10, n_evals=370, round=6record{
"t": "2026-09-29T12:29:08",
"code_hash": "32c942c54dff3d71",
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"engine/blind_gates.py",
"engine/checkpoint.py",
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"engine/data.py",
"engine/features.py",
"engine/fill_audit.py",
"engine/health.py",
"engine/improve.py",
"engine/leak_audit.py",
"engine/livesim.py",
"engine/memory.py",
"engine/missed_winners.py",
"engine/model.py",
"engine/objective.py",
"engine/pit.py",
"engine/policy.py",
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"event": "loop2_basis_search",
"adopted": false,
"reason": "no confirmed candidate beat the incumbent",
"n_windows": 40,
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"n_evals": 370,
"incumbent": {
"key": [
9,
10,
0,
0
],
"t1": 0.2020228592162554,
"risk": -0.258820625384975,
"t3": 0.621247986082545
},
"winner": {
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0,
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},
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{
"cfg": {
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},
"adjusted": 14.698738838437475,
"boot_lo": NaN,
"verdict": ""
},
{
"cfg": {
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"exit_q": 0.7,
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},
"adjusted": 16.366605842301887,
"boot_lo": -0.018925979680696658,
"verdict": "firewall ok but only 57% of windows improved on the deciding tier"
},
{
"cfg": {
"k": 2,
"exit_q": 0.7,
"rebalance_weeks": 2,
"brake": 0.15,
"max_per_sector": 2,
"w_model": 1.0,
"pick": "top",
... (truncated; full record in state/experiments.jsonl) | git_commit 5148746bc9 canon_sha 00bf97d3ae bible_sha a97ea91862 blueprint_version 4.0 config_hash 9f60add393 data_snapshot 171ba8ba72 seed 6 |
| 2026-09-29T12:29:08 | loop2_round | E2a573c29387766a7 | code_hash=32c942c54dff3d71, round=6, basis=0, phase=direction, fresh_avg=0.008715, n_untrained_basis=3, outcome=continue_testingrecord{
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"engine/data.py",
"engine/features.py",
"engine/fill_audit.py",
"engine/health.py",
"engine/improve.py",
"engine/leak_audit.py",
"engine/livesim.py",
"engine/memory.py",
"engine/missed_winners.py",
"engine/model.py",
"engine/objective.py",
"engine/pit.py",
"engine/policy.py",
"engine/portfolio.py",
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"round": 6,
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"untrained_windows": [
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],
"thin_windows": [],
"window_ids": [
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],
"metrics": {
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"in_band": 0.1346153846153846,
"sd_week": 0.037199770301425635,
"max_dd": -0.16798379894232618,
"year_return": 0.2024540844987721
},
"w06b": {
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},
"w06c": {
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"sd_week": 0.04815395553111365,
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"year_return": 0.24003683963660927
}
},
"gates": {
"w06a": "passed re-tester, future-scramble, fill audit",
"w06b": "passed re-tester, future-scramble, fill audit",
"w06c": "passed re-tester, future-scramble, fill audit"
},
"outcome": "continue_testing",
"reason": "blind Test round (measurement)",
"train_range": "history before each sealed year",
"validation_range": "pre-season nested split",
"test_range": "the sealed 12-month windows",
"model_params": {
"cfg": {
"k": 3,
"exit_q": 0.8,
"rebalance_weeks": 2,
"brake": 0.15,
"max_per_sector": 2,
"w_model": 1.0,
"pick": "top",
"pool_q": 0.7,
"liq_q": 0.2,
"vol_filter": true,
"stress_thr": 1.0,
"stress_k": 3,
"trend_filter": -0.05,
... (truncated; full record in state/experiments.jsonl) | git_commit 5148746bc9 canon_sha 00bf97d3ae bible_sha a97ea91862 blueprint_version 4.0 config_hash 9f60add393 data_snapshot 171ba8ba72 seed 6 |
| 2026-09-29T12:04:39 | learner_search | Ec3f2f29c319367cc | code_hash=54ff89572e583407, tag=ls3_s11, valid=True, outcome=continue_testing, reason=passing: none, train_range=None, validation_range=Nonerecord{
"t": "2026-09-29T12:04:39",
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"engine/health.py",
"engine/improve.py",
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"engine/memory.py",
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],
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"r08a",
"r03b",
"r11a",
"r10c",
"r09a",
"r04c",
"r06c",
"r02c",
"r12a",
"r07b",
"r04a",
"r02b",
"r03c",
"r12b",
"r13c",
"r12c"
],
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"meta": {
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"experiment_id": "Ec3f2f29c319367cc"
} | git_commit f9358e079d canon_sha 00bf97d3ae bible_sha a97ea91862 blueprint_version 4.0 config_hash 9f60add393 data_snapshot 171ba8ba72 seed 11 |
| 2026-09-29T12:03:33 | learner_search | E1f0f5b16ea968033 | code_hash=54ff89572e583407, tag=ls3_s12, valid=True, outcome=continue_testing, reason=passing: none, train_range=None, validation_range=Nonerecord{
"t": "2026-09-29T12:03:33",
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"engine/features.py",
"engine/health.py",
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"engine/leak_audit.py",
"engine/learners.py",
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],
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"r08b",
"r06c",
"w02a",
"r11a",
"r03c",
"r08a",
"r12a",
"r05c",
"w03c",
"r10c",
"r12b",
"w02c",
"r02c",
"r05b"
],
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"reason": "passing: none",
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"pick": "top",
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"stress_thr": 1.0,
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},
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}
},
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} | git_commit aacdf478b1 canon_sha 00bf97d3ae bible_sha a97ea91862 blueprint_version 4.0 config_hash 9f60add393 data_snapshot 171ba8ba72 seed 12 |
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... (truncated; full record in state/experiments.jsonl) | git_commit a5c615c3c1 canon_sha 34762a4230 bible_sha a97ea91862 blueprint_version 4.0 config_hash 4c2df44411 data_snapshot 5f94924cad seed 100 |
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... (truncated; full record in state/experiments.jsonl) | git_commit a5c615c3c1 canon_sha 34762a4230 bible_sha a97ea91862 blueprint_version 4.0 config_hash 4c2df44411 data_snapshot 5f94924cad seed 100 |
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} | git_commit 081fd4633a canon_sha 34762a4230 bible_sha a97ea91862 blueprint_version 4.0 config_hash b11ae24a3c data_snapshot 5f94924cad seed 0 |
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... (truncated; full record in state/experiments.jsonl) | git_commit 8f56db963d canon_sha 83225f3695 bible_sha a97ea91862 blueprint_version 4.0 config_hash 4c2df44411 data_snapshot 5f94924cad seed 100 |
| 2026-09-29T03:56:42 | planted_calibration | Eb1cada331127fd84 | code_hash=42f9d9c8dcac1a04, outcome=continue_testing, reason=Phase 25 verdict: NOT validated: decayin, train_range=synthetic, validation_range=synthetic, test_range=syntheticrecord{
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... (truncated; full record in state/experiments.jsonl) | git_commit 65e2c9e6ce canon_sha 83225f3695 bible_sha a97ea91862 blueprint_version 4.0 config_hash 4c2df44411 data_snapshot 5f94924cad seed 100 |
| 2026-09-29T03:30:59 | planted_calibration | E7567704133 | seeds=8, false_active_per_run=0.125, active_per_run=5, false_share_of_active=0.025 recovery: 4 entries; calibration: 5 entries record{
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} | git_commit 72950a8ede canon_sha 056354e933 bible_sha a97ea91862 blueprint_version 4.0 data_snapshot 5f94924cad seed 100 |
| 2026-09-29T03:27:25 | planted_calibration | E7605934681 | seeds=8, false_active_per_run=0.5, active_per_run=38.62, false_share_of_active=0.01294 recovery: 4 entries; calibration: 5 entries record{
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} | git_commit 72950a8ede canon_sha 056354e933 bible_sha a97ea91862 blueprint_version 4.0 data_snapshot 5f94924cad seed 100 |
| 2026-09-28T22:48:00 | livesim_cycle | run_id=r13a, year=1995, mean_week=0.01328, weeks_ge_7=3, year_return=0.9137, market=0.3411, version=6record{
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| 2026-09-28T22:48:00 | livesim_cycle | run_id=r13b, year=2015, mean_week=0.003723, weeks_ge_7=0, year_return=0.2064, market=-0.001742, version=6record{
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| 2026-09-28T22:48:00 | livesim_cycle | run_id=r13c, year=2011, mean_week=-0.00206, weeks_ge_7=4, year_return=-0.1503, market=0.01895, version=6record{
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| 2026-09-28T22:35:31 | livesim_cycle | run_id=r12a, year=1988, mean_week=0.008763, weeks_ge_7=3, year_return=0.5321, market=0.124, version=5record{
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| 2026-09-28T22:35:31 | livesim_cycle | run_id=r12b, year=1985, mean_week=0.01152, weeks_ge_7=3, year_return=0.7507, market=0.2708, version=5record{
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| 2026-09-28T22:35:31 | livesim_cycle | run_id=r12c, year=1993, mean_week=0.002972, weeks_ge_7=4, year_return=0.1078, market=0.07055, version=5record{
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| 2026-09-28T22:24:39 | livesim_cycle | run_id=r11b, year=2004, mean_week=0.006334, weeks_ge_7=2, year_return=0.3472, market=0.1229, version=4record{
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| 2026-09-28T22:24:39 | livesim_cycle | run_id=r11c, year=1967, mean_week=0.008933, weeks_ge_7=3, year_return=0.545, market=0.2009, version=4record{
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| 2026-09-28T22:24:38 | livesim_cycle | run_id=r11a, year=1981, mean_week=-0.00416, weeks_ge_7=0, year_return=-0.2127, market=-0.1027, version=4record{
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| 2026-09-28T22:15:02 | livesim_cycle | run_id=r10a, year=2020, mean_week=0.01886, weeks_ge_7=10, year_return=1.178, market=0.1797, version=3record{
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| 2026-09-28T22:15:02 | livesim_cycle | run_id=r10b, year=2008, mean_week=0.005643, weeks_ge_7=10, year_return=-0.01361, market=-0.3726, version=3record{
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| 2026-09-28T22:15:02 | livesim_cycle | run_id=r10c, year=2008, mean_week=0.002497, weeks_ge_7=12, year_return=-0.0981, market=-0.3726, version=3record{
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| 2026-09-28T22:05:13 | livesim_cycle | run_id=r09a, year=1980, mean_week=0.01285, weeks_ge_7=3, year_return=0.8916, market=0.2589, version=3record{
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| 2026-09-28T22:05:13 | livesim_cycle | run_id=r09b, year=2018, mean_week=0.00122, weeks_ge_7=3, year_return=0.01221, market=-0.04569, version=3record{
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| 2026-09-28T22:05:13 | livesim_cycle | run_id=r09c, year=2025, mean_week=-0.008856, weeks_ge_7=0, year_return=-0.3937, market=0.1595, version=3record{
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| 2026-09-28T21:55:30 | livesim_cycle | run_id=r08a, year=1977, mean_week=0.000118, weeks_ge_7=0, year_return=-0.007177, market=-0.115, version=3record{
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| 2026-09-28T21:55:30 | livesim_cycle | run_id=r08b, year=1978, mean_week=0.01007, weeks_ge_7=3, year_return=0.6119, market=0.01062, version=3record{
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| 2026-09-28T21:55:30 | livesim_cycle | run_id=r08c, year=1971, mean_week=0.007492, weeks_ge_7=1, year_return=0.4318, market=0.1079, version=3record{
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| 2026-09-28T21:42:32 | livesim_cycle | run_id=r07a, year=2023, mean_week=0.003614, weeks_ge_7=1, year_return=0.1873, market=0.2618, version=2record{
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| 2026-09-28T21:42:32 | livesim_cycle | run_id=r07b, year=1996, mean_week=0.008779, weeks_ge_7=2, year_return=0.4902, market=0.2026, version=2record{
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| 2026-09-28T21:42:32 | livesim_cycle | run_id=r07c, year=1974, mean_week=0.002047, weeks_ge_7=6, year_return=0.03954, market=-0.2971, version=2record{
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| 2026-09-28T21:37:21 | livesim_cycle | run_id=r06a, year=1968, mean_week=-0.001752, weeks_ge_7=1, year_return=-0.1109, market=0.0766, version=2record{
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} | no provenance recorded | |
| 2026-09-28T21:37:21 | livesim_cycle | run_id=r06b, year=1989, mean_week=0.01063, weeks_ge_7=4, year_return=0.672, market=0.2725, version=2record{
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} | no provenance recorded | |
| 2026-09-28T21:37:21 | livesim_cycle | run_id=r06c, year=2019, mean_week=0.004198, weeks_ge_7=0, year_return=0.2426, market=0.3237, version=2record{
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| 2026-09-28T21:33:04 | livesim_cycle | run_id=r05a, year=1994, mean_week=0.001151, weeks_ge_7=9, year_return=-0.0671, market=-0.01539, version=2record{
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| 2026-09-28T21:33:04 | livesim_cycle | run_id=r05b, year=1979, mean_week=0.007014, weeks_ge_7=2, year_return=0.4158, market=0.1231, version=2record{
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} | no provenance recorded | |
| 2026-09-28T21:33:04 | livesim_cycle | run_id=r05c, year=1999, mean_week=0.007893, weeks_ge_7=4, year_return=0.3646, market=0.1953, version=2record{
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| 2026-09-28T21:30:22 | livesim_cycle | run_id=r04a, year=1976, mean_week=0.005302, weeks_ge_7=3, year_return=0.2896, market=0.1907, version=2record{
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} | no provenance recorded | |
| 2026-09-28T21:30:22 | livesim_cycle | run_id=r04b, year=2006, mean_week=0.009101, weeks_ge_7=3, year_return=0.5331, market=0.1585, version=2record{
"t": "2026-09-28T21:30:22",
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"market": 0.15845239162445068,
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} | no provenance recorded | |
| 2026-09-28T21:30:22 | livesim_cycle | run_id=r04c, year=2017, mean_week=0.002004, weeks_ge_7=1, year_return=0.04671, market=0.2171, version=2record{
"t": "2026-09-28T21:30:22",
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"market": 0.21705377101898193,
"version": 2
} | no provenance recorded | |
| 2026-09-28T21:27:00 | livesim_cycle | run_id=r03a, year=1975, mean_week=0.004099, weeks_ge_7=0, year_return=0.2116, market=0.3433, version=2record{
"t": "2026-09-28T21:27:00",
"event": "livesim_cycle",
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"market": 0.34331321716308594,
"version": 2
} | no provenance recorded | |
| 2026-09-28T21:27:00 | livesim_cycle | run_id=r03b, year=1984, mean_week=0.006274, weeks_ge_7=6, year_return=0.3239, market=0.01401, version=2record{
"t": "2026-09-28T21:27:00",
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"market": 0.014005899429321289,
"version": 2
} | no provenance recorded | |
| 2026-09-28T21:27:00 | livesim_cycle | run_id=r03c, year=2022, mean_week=-0.008106, weeks_ge_7=3, year_return=-0.3908, market=-0.1818, version=2record{
"t": "2026-09-28T21:27:00",
"event": "livesim_cycle",
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"market": -0.1817535161972046,
"version": 2
} | no provenance recorded | |
| 2026-09-28T21:23:22 | livesim_cycle | run_id=r02a, year=1987, mean_week=-0.0001476, weeks_ge_7=4, year_return=-0.07031, market=0.0006478, version=1record{
"t": "2026-09-28T21:23:22",
"event": "livesim_cycle",
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"year": 1987,
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"year_return": -0.07030717822531019,
"market": 0.0006477832794189453,
"version": 1
} | no provenance recorded | |
| 2026-09-28T21:23:22 | livesim_cycle | run_id=r02b, year=1983, mean_week=0.01241, weeks_ge_7=2, year_return=0.8431, market=0.1727, version=1record{
"t": "2026-09-28T21:23:22",
"event": "livesim_cycle",
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"year_return": 0.8431275092833357,
"market": 0.17270970344543457,
"version": 1
} | no provenance recorded | |
| 2026-09-28T21:23:22 | livesim_cycle | run_id=r02c, year=2005, mean_week=0.007546, weeks_ge_7=3, year_return=0.4251, market=0.04828, version=1record{
"t": "2026-09-28T21:23:22",
"event": "livesim_cycle",
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"market": 0.04828190803527832,
"version": 1
} | no provenance recorded | |
| 2026-09-28T21:21:20 | voided_adjustment | round=1, reason=re-tester mismatch vs live trader; fixedrecord{
"t": "2026-09-28T21:21:20",
"event": "voided_adjustment",
"round": 1,
"reason": "re-tester mismatch vs live trader; fixed bookkeeping; reset to v1"
} | no provenance recorded | |
| 2026-09-28T21:19:24 | livesim_cycle | run_id=r01a, year=2016, mean_week=0.001196, weeks_ge_7=1, year_return=0.03003, market=0.12, version=1record{
"t": "2026-09-28T21:19:24",
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"market": 0.11997866630554199,
"version": 1
} | no provenance recorded | |
| 2026-09-28T21:19:24 | livesim_cycle | run_id=r01b, year=1969, mean_week=-0.006463, weeks_ge_7=0, year_return=-0.3053, market=-0.1211, version=1record{
"t": "2026-09-28T21:19:24",
"event": "livesim_cycle",
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"market": -0.12106192111968994,
"version": 1
} | no provenance recorded | |
| 2026-09-28T21:19:24 | livesim_cycle | run_id=r01c, year=1987, mean_week=0.00164, weeks_ge_7=3, year_return=0.01929, market=0.0006478, version=1record{
"t": "2026-09-28T21:19:24",
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"market": 0.0006477832794189453,
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} | no provenance recorded | |
| 2026-09-28T20:51:39 | replay_year | year=2024, start=1000, end=1423, year_return=0.4233, spy_year_return=0.2489, weeks=53, weeks_ge_7=3record{
"t": "2026-09-28T20:51:39",
"event": "replay_year",
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"trades": 314,
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"model_trained_through": "2023-12-14",
"labels_end": "2023-12-21",
"runtime_seconds": 91
} | no provenance recorded | |
| 2026-09-28T20:31:27 | tuning_lab | configs=120, episodes_per_split=400, best_on_tune=cfg_3_0.9_0.08_None_0.5_50000000.0_False, locked_gain_weeks7_per_month=0.09719, z=3.373, z_needed=3.341, verdict=KEEP CHAMPION configs: 120; champion: 2 entries; best: 2 entries record{
"t": "2026-09-28T20:31:27",
"event": "tuning_lab",
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"verdict": "KEEP CHAMPION"
} | no provenance recorded | |
| 2026-09-28T20:29:59 | rolled_back | id=v1.3, reason=full 2017-2026: $3,579 vs SPY $3,987, ma, restored=v1.2record{
"t": "2026-09-28T20:29:59",
"event": "rolled_back",
"id": "v1.3",
"reason": "full 2017-2026: $3,579 vs SPY $3,987, max drawdown -73%; round-1 guards only checked single months",
"restored": "v1.2"
} | no provenance recorded | |
| 2026-09-28T19:57:41 | tuning_lab | configs=120, episodes_per_split=400, best_on_tune=cfg_3_0.9_0.08_None_0.5_50000000.0_False, locked_gain_weeks7_per_month=0.09719, z=3.373, z_needed=3.341, verdict=PROMOTE configs: 120; champion: 2 entries; best: 2 entries record{
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"event": "tuning_lab",
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"verdict": "PROMOTE"
} | no provenance recorded | |
| 2026-09-28T19:31:16 | challenger_historical | id=sector_cap rows: 3 entries record{
"t": "2026-09-28T19:31:16",
"event": "challenger_historical",
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}
} | no provenance recorded | |
| 2026-09-28T19:03:58 | topk_rules | rows: 6 entries record{
"t": "2026-09-28T19:03:58",
"event": "topk_rules",
"rows": {
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}
} | no provenance recorded | |
| 2026-09-28T19:01:53 | historical_test | variant=v9_goal_nostop, final=779.4, weeks=507, mean_week=0.0001296, median_week=0.0004359, pct_ge_7=0.03156, pct_le_m7=0.0355record{
"t": "2026-09-28T19:01:53",
"event": "historical_test",
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"final": 779.3739965960984,
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} | no provenance recorded | |
| 2026-09-28T19:01:46 | historical_test | variant=v10_goal_stop3, final=786.9, weeks=507, mean_week=0.0001661, median_week=0.003335, pct_ge_7=0.02564, pct_le_m7=0.02959record{
"t": "2026-09-28T19:01:46",
"event": "historical_test",
"variant": "v10_goal_stop3",
"final": 786.9172724891087,
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"stop_pnl": -2695.183344810546
} | no provenance recorded | |
| 2026-09-28T18:56:29 | frontier | rows: 24 entries record{
"t": "2026-09-28T18:56:29",
"event": "frontier",
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{
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... (truncated; full record in state/experiments.jsonl) | no provenance recorded | |
| 2026-09-28T18:52:18 | walk_forward | note=v1.1: insider features, excess-return re, blend=0.03019, evidence=0.02541, model=0.02478, blend_t=9.49record{
"t": "2026-09-28T18:52:18",
"event": "walk_forward",
"note": "v1.1: insider features, excess-return regressor, ranker retired, 2 priors off",
"blend": 0.03018624035441941,
"evidence": 0.025414464786266695,
"model": 0.02478037771412192,
"blend_t": 9.489973648257054
} | no provenance recorded | |
| 2026-09-28T18:30:24 | frontier | rows: 24 entries record{
"t": "2026-09-28T18:30:24",
"event": "frontier",
"rows": [
{
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{
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{
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{
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},
{
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{
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{
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},
{
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},
{
"k": 15,
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... (truncated; full record in state/experiments.jsonl) | no provenance recorded |
Report files
Artefacts produced by research and simulation runs (listing only).
| Area | File | Type | Size | Headline numbers |
|---|---|---|---|---|
| reports | final_report.json | json | 42 KB | |
| reports | FINAL_REPORT.md | md | 32 KB | |
| research | backtest_summary.json | json | 1 KB | |
| research | dec_v10_goal_stop3.csv | csv | 184 KB | |
| research | dec_v9_goal_nostop.csv | csv | 183 KB | |
| research | eq_k3_plain.csv | csv | 73 KB | |
| research | eq_k4_bank7.csv | csv | 72 KB | |
| research | eq_k4_bank7_brake8.csv | csv | 72 KB | |
| research | eq_k4_brake8.csv | csv | 72 KB | |
| research | eq_k4_plain.csv | csv | 72 KB | |
| research | eq_k5_plain.csv | csv | 73 KB | |
| research | eq_v10_goal_stop3.csv | csv | 72 KB | |
| research | eq_v9_goal_nostop.csv | csv | 72 KB | |
| research | frontier.json | json | 7 KB | |
| research | model_summary.json | json | 1 KB | |
| research | registry_audit.json | json | 6 KB | n_records=53, records_fully_complete=0, orphans_no_outcome=53, records_with_provenance_stamp=0.03774 |
| research | res_v10_goal_stop3.json | json | 1 KB | |
| research | res_v9_goal_nostop.json | json | 1 KB | |
| research | sensitivity.json | json | 104 KB | hidden_years=39, champion_mean_week=0.003148, runtime_s=1021 |
| research | three_way.json | json | 6 KB | windows=42, pick_hit_rate_7=0.1727, pick_win_rate=0.5157, universe_hit_rate_7=0.08121 |
| research | topk_rules.json | json | 1 KB | |
| research | tuning_summary.json | json | 3 KB | configs=120, episodes_per_split=400, locked_gain_weeks7_per_month=0.09719, z=3.373, z_needed=3.341 |
| algorithm | patterns_2017-01-01_v1.parquet | parquet | 558 KB | |
| algorithm | patterns_2020-01-01.parquet | parquet | 564 KB | |
| algorithm | patterns_2020-01-01_v2.parquet | parquet | 621 KB | |
| algorithm | patterns_2020-01-01_v2move.parquet | parquet | 571 KB | |
| algorithm | patterns_2022-01-01_v1.parquet | parquet | 614 KB | |
| algorithm | planted_calibration.json | json | 1 KB | seeds=8, false_active_per_run=0.125, active_per_run=5, false_share_of_active=0.025 |
| algorithm | test_2017-01-01_v1.json | json | 0 KB | weeks=104, ic_mean=0.009955, ic_t=0.5928, top_decile_excess_week=0.0003998, tested=4344, fdr_pass=2178 |
| algorithm | test_2020-01-01.json | json | 0 KB | weeks=105, ic_mean=0.04217, ic_t=2.77, top_decile_excess_week=5.415e-05, tested=4373, fdr_pass=1934 |
| algorithm | test_2020-01-01_v2.json | json | 0 KB | weeks=0, tested=4393, fdr_pass=765, rejected=4393, gate_corr_confirm=0, null_patterns=3000 |
| algorithm | test_2020-01-01_v2move.json | json | 0 KB | weeks=105, ic_mean=0.383, ic_t=38.52, top_decile_excess_week=0.05517, tested=4382, fdr_pass=3908 |
| algorithm | test_2022-01-01_v1.json | json | 0 KB | weeks=104, ic_mean=0.005534, ic_t=1.14, top_decile_excess_week=0.0001423, tested=4382, fdr_pass=693 |
Built 2026-09-29 12:40 UTC. Sources: cycles: revealed windows only; registry: 85 records. Generated by scripts/site_build.py; sealed test windows and credentials are never read. Paper trading only; nothing here is investment advice.