vault-sync: 2026-10-10 18:00 (jimmy)

2026-10-10 18:00:43 -07:00
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@@ -84,3 +84,106 @@ One thing I didn't touch: your template said the job "runs on a local model with
 **assistant:** Noted. First dream log lands tomorrow morning — tonight's run reviews today (Oct 10).
 ## 20261010-224717 session 20261010_154339_ceb19ec0
 **user:** Idea: Your instinct is pointing at the right asset, but I'd sharpen what the corpus should be. Not strategies — the internet is drowning in strategy content, and almost all of it is survivorship bias and marketing. The scarce, valuable thing is exactly what you said: failures, with autopsies. People publish their wins. Almost nobody publishes a fee-adjusted record of what died and precisely why.
 And here's the part I find genuinely exciting: you've already started it. The most valuable thing in this whole competition isn't F1–F3 or SolTerm — it's your ruled-out list. Polymarket both-sides, the US↔Kalshi arb, DEX arb — three ideas killed with live data, each with a cause of death. That list is worth more than either book, because it never has to be re-learned. A corpus is just that list, industrialized: every strategy anyone has honestly autopsied, stored as what it claimed, what it cost, what killed it, and in what conditions it died.
 What the immersed bot would actually be: a specialist whose whole world is that corpus plus a paper-testing lab. Its loop isn't "learn from the market live" — that's what F1 does, and live learning from recent noise is how you overfit yourself into a bleed. The loop that works is slower and more brutal:
 Read a claim (from the corpus, a forum post-mortem, a dead bot's repo, a new idea)
 Turn it into a pre-registered paper test with the kill criteria written before it runs
 Run it cost-stressed, kill it or keep it, and write the autopsy back into th
 **assistant:** Read it. Grounded first: SolTerm is real (`C:\Users\fight\Projects\solterm`, paper-only, live) — but I could not find the competition records — F1–F3, the two books, or the three kills (Polymarket both-sides, US↔Kalshi, DEX arb) — anywhere in the vault or session history. So the seed material exists somewhere I haven't been pointed at. Flagging that before anything else.
 On the idea itself:
 **Agree with the spine.** Corpus of autopsied failures > strategy content, and the ruled-out list is the durable asset. The cold water is also right — no static edge; the edge at this size is honest-falsification throughput, not prophecy.
 **The one thing I'd change.** The loop as written ("read a claim → paper test → autopsy") is not the differentiator — F1 already is a live version of that. The differentiator is *pre-registration*: kill criteria and cost assumptions written and timestamped **before** the run. Without that field, the corpus rots — post-hoc autopsies smuggle survivorship bias straight back in through the writer. So the schema has to force it.
 Concrete schema, one entry per dead idea:
 - claim (one sentence, with the number it asserted)
 - mechanism (why it was supposed to work)
 - cost model as tested (fees/slippage/gas/borrow)
 - **pre-registered kill criteria** (threshold + window)
 - result, cost-stressed
 - cause of death (economics · capacity · decay/adversarial · operational · measurement artifact)
 - **falsifying assumption** — the one assumption that, if wrong, flips k
 ## 20261010-230601 session 20261010_154339_ceb19ec0
 **user:** I'm just looping you in with what Grok is telling me
 Yes. Lock an initial market scope before writing the schema, seeding the corpus, or wiring agents.
 A diffuse “any market that might have an edge” setup wastes the first cycles. The autopsy loop only compounds if every test shares the same cost model, data assumptions, and kill criteria. Starting with two or three tightly defined markets lets you write realistic paper harnesses, cost stress tests, and agent handoffs that actually bite. You can expand later; the schema should make adding a new market cheap, but the first version should not try to cover everything.
 From the earlier discussion, the candidates that still make sense for consistent small money (capacity-limited, less crowded) are:
 Thin prediction-market books on Kalshi and Polymarket US (maker or selective relative-value in non-flagship series, not liquid same-market YES+NO or obvious cross-venue locks).
 Domain-niche event contracts inside those venues (local/regional politics, specific weather, long-tail sports or esports props, multi-outcome sets with incomplete rule coverage).
 Illiquid small-cap or micro-cap equities (research-driven mispricings, not high-frequency).
 Operational mapping and resolution-risk edges across the venues you can legally access.
 Most other public conversations are still on liquid equities, major crypto, or the obvious Polymarket/Kalshi arb versions that are already thin after fees. Those are lower priority for the first pass.
 I recommen
 **assistant:** Read it. Two live-checked facts first, because they change the answer:
 - **Kalshi** (schedule eff. Jul 7 2026, verified just now): taker fee = round_up(0.07·C·P·(1−P)), charged **only when you take**. **Maker fee = 0 on ~12,500 of 12,699 series** — only ~129 series (sports, CPI, Fed, jobs) tax resting orders, at a quarter rate. Cancelling is free. 14 niche series are fee-free outright.
 - **Polymarket US** is a *separate, thinner* venue from Polymarket global, full-KYC-gated, and its CA status is "contested." Kalshi in CA is clean (CFTC DCM; tribal challenge lost at district, on appeal).
 **Verdict: direction right, don't lock the pairing as stated.**
 **1. Split the primary.** "Maker" and "selective relative-value" are two edges with different kill criteria:
 - *Relative-value in non-flagship series* = a claim you can state and falsify cheaply; you take, so your cost is the known closed-form fee. No fill modelling. **This is the honest, high-throughput branch → make it primary.**
 - *Maker / liquidity provision* = edge is spread capture. On quiet Kalshi series fees ≈ 0, so the binding constraint is **adverse selection + fill probability**. A paper harness that assumes fills you'd never get is fiction — this is the *hardest* branch to test honestly, not the easiest. **Secondary, and the fill model is the research problem.**
 **2. Prereqs before the schema** (they're the shared layer, and both move):
 - Confirm he can actually onboard Polymarket US; if not, drop it from scope — r
 ## 20261010-234233 session 20261010_154339_ceb19ec0
 **user:** https://grok.com/share/bGVnYWN5LWNvcHk_8d9f2dcd-0b4a-406d-a0e3-0c13c84cb329
 **assistant:** Read the whole thread (via a rendered fetch — the share page is JS-only). New to me beyond what you pasted: the engine split, the base-rate numbers, and the `killcorpus` / `tony_tech` wireframe. Three edits, one of them factual:
 **1. Grok is not an independent critic — and casting it as one is a structural flaw.** Grok generated the market scope. Making it the adversarial critic of the tests built on that scope gives you correlated blind spots — the exact sycophancy-collapse it warns about. The rule should be: *the critic must be a different engine than whoever proposed that claim.* Rotate the roles; don't hard-wire "Grok = critic."
 **2. A factual nit that runs under the whole plan.** Its "Kalshi fees kill it (~1.75¢ at 50¢)" line is the **taker** fee. **Maker fee is zero on ~12,500 of 12,699 series.** So the fee argument kills *taker* arb and barely touches the *maker* branch — which is exactly why maker vs relative-value are two edges needing two kill criteria. Grok leans on this distinction without naming it.
 **3. Your real question — "is it worth it for money?"** Grok's honest answer (low base rate, ~43% of model-seasons profitable, research-not-income) is right; I'd harden it: set the repo's success metric to **cleanly-falsified claims per week at bounded cost**, with PnL as a rare lagging output. Optimize for PnL and you'll un-discipline the loop that's the only durable asset.
 **And the casting you may have missed:** Grok assigned *"DeepSeek V4.1 Flash via Hermes → 
 ## 20261010-235300 session 20261010_154339_ceb19ec0
 **user:** The three edits are correct. Integrate them.
 1. Critic must be a different engine than the proposer of that claim.
 Hard-wiring any single model (including this chat) as the permanent critic creates the correlated blind spot you flagged. Rotate. In the Hermes loop we already locked, planner proposes and reviewer critiques; they are separate profiles even if both currently run DeepSeek. When a claim survives and comes here for the higher-reasoning pass, this chat is reviewing output it did not generate. That preserves the independence. Do not collapse them.
 2. Taker vs maker are different edges.
 The ~1.75¢ figure is the taker fee. Maker fee is zero on the large majority of Kalshi series. The fee argument kills pure taker arb and does not kill the maker branch. They need separate kill criteria. The primary we locked is the relative-value (taker) branch because its cost is closed-form and the test is high-throughput. Maker stays secondary until there is a credible fill-probability model. The distinction is now explicit.
 3. Success metric is cleanly-falsified claims per week at bounded cost.
 PnL is a rare lagging output. Optimizing the loop for PnL will un-discipline it. The durable asset is the corpus of honest autopsies.
 Role decision
 DeepSeek (this Hermes session and the profiles) is the volume engine:
 • planner = Proposer (claim → pre-registered spec)
 • reviewer = Critic (different profile, must kill or pass)
 • builder = Executor (paper harness only)
 • jimmy = Recorder
 This ch
 **assistant:** Grounded myself first. The relative-value (taker) harness already exists: `C:\Users\fight\Projects\polyterm\paper_trader.py` — Kalshi **KXBTCD** hourly strikes, fair value from a 4-exchange median spot + per-minute EWMA sigma, taker-only, fee = `round_up(0.07·C·P·(1−P))`, walk-the-book fills, Brier halt. It's been trading live-forward since Oct 9 (log shows fills). That harness *is* the claim, implicitly.
 I could not find a written "seeded claim" anywhere — vault, repos, or session history. So I'm treating the seeded claim as **the KXBTCD lag-vs-spot claim** below. If that's not it, paste the real one and I'll re-spec.
 **FIRST SPEC — pre-registered (taker primary)**
 *Claim:* On Kalshi KXBTCD hourly above/below markets, in the final 2–50 min of the window, a YES/NO taker whose model edge ≥ 0.04 after the taker fee has **positive mean realized PnL per contract after fees** over ≥300 settled markets sampled walk-forward.
 *Pre-registered kill criteria (written before the run):*
 1. Mean post-fee PnL/contract ≤ 0 → killed.
 2. Model Brier ≥ market-mid Brier → killed (edge is noise; already wired as a halt).
 3. **Cost-stress:** edge flips negative under fee×1.5 or +1 tick entry slippage → killed. (If 50% cost inflation kills it, it was never an edge.)
 4. **Out-of-sample:** count only markets entered *after* the pre-registration timestamp; <300 settled = inconclusive, not kept.
 5. **Regime:** must hold in both low- and high-vol sigma terciles; if the edge lives entirely in one vol
@@ -0,0 +1,118 @@
 ## 20261011-000017 session 20261010_154339_ceb19ec0
 **user:** Role fix first.
 jimmy = Recorder / coordinator only.
 planner = Proposer.
 reviewer = Critic.
 builder = Executor.
 jimmy does not write the spec and does not propose the claim. That removes the self-authorship problem on the same claim. planner writes the spec; reviewer kills or passes it independently; jimmy only records the finished autopsy and advances the queue.
 Claim confirmation
 The KXBTCD lag-vs-spot claim is acceptable as the first concrete claim. It matches the relative-value (taker) primary, has a closed-form fee, an existing harness, and clear kill criteria. The original seeded basket claim can sit in the queue behind it or be treated as a later variant. Use this one now.
 The measurement-artifact flag is material: if the order-book read is as stale as the Kalshi update, the measured edge is your own latency. That belongs in the pre-registered kill criteria (or as an explicit measurement the Executor must log). reviewer should treat an unmeasured book-vs-spot timestamp delta as a reason to kill or park until it is instrumented.
 Go-ahead
 • planner produces specs/KXBTCD-lag-vs-spot.spec.yaml from the spec you wrote.
 • reviewer performs the independent kill/pass on that spec only.
 • No file writes or commits until you explicitly approve the spec + reviewer decision.
 • jimmy records only after that approval.
 That keeps the engines separate and the loop disciplined. Paste the spec + reviewer output here when ready and I will do the higher-reasoning pass on the pair.
 **assistant:** Loop ran. Planner → spec; Reviewer → independent verdict. **Nothing committed** — both artifacts sit in scratch, no repo file created, per your no-writes-until-approval rule.
 **Produced by `planner` (profile), spec id `KXBTCD-lag-vs-spot`:**
 Claim: *In Kalshi KXBTCD hourly above/below markets, final 2–50 min before strike close, a YES/NO taker with post-fee model edge ≥ 0.04 has positive mean realized PnL/contract after fees, over ≥300 settled markets sampled walk-forward.*
 Pre-registered kill criteria:
 - **K1** mean post-fee PnL/contract ≤ 0 → killed
 - **K2** model Brier ≥ market-mid Brier → killed
 - **K3** cost-stress (fee×1.5, +1 tick, jointly) flips edge negative → killed
 - **K4** <300 settled post-registration markets → inconclusive, **not kept**
 - **K5** edge confined to one sigma-tercile → parked, not kept
 - Falsifying assumption: spot is fresh and the book lags; **unmeasured book-vs-spot timestamp delta → KILL/PARK** (measurement artifact).
 - Closed enums for outcome + cause-of-death; BDD acceptance criteria for pass/kill/inconclusive.
 **Produced by `reviewer` (independent profile), VERDICT: KILL-OR-PARK**
 Required changes (its words, condensed):
 1. **Outcome enum not closed** — "parked" is used as a first-class outcome (K5, falsifying assumption, kill scenario) but has no enum member. Add it or remap every "parked" explicitly.
 2. **No statistical decisiveness floor on K1** — near-even $1 binaries at N=300 give SE(mean)≈0.029, so a true 0.04 edge is t≈1.3; a luck
 ## 20261011-000205 session 20261010_154339_ceb19ec0
 **user:** Higher-reasoning pass: the reviewer’s KILL-OR-PARK is correct. Do not keep the claim as written.
 The load-bearing objections are #2 and #4. They attack whether a pass would mean anything.
 • Statistical decisiveness (#2). At N=300 on near-even $1 binaries the standard error of the mean is roughly 0.029. A true 0.04 edge is only about t=1.3. A lucky positive sample can clear “mean > 0” without the edge being real. Requiring a one-sided confidence interval lower bound > 0 (or a pre-specified minimum margin plus a power calculation that shows N is adequate) is the minimum fix. Without it the test cannot distinguish edge from noise, so a pass is not evidence.
 • Window purity (#4). Any evaluation that can include pre-registration entries contaminates the out-of-sample count. Every kill-capable metric must be computed strictly on markets entered after the pre-registration timestamp. The “whichever comes first” language has to go.
 The other points are real but secondary:
 • #1 (closed outcome enum) and #5 (instrumented slippage vs flat tick, pre-specified per-tercile test) are spec bugs. Fix them so the record is unambiguous.
 • #3 (gate the measured latency) is the measurement-artifact risk made operational. A max tolerated book-vs-spot delta, how server time is established, and “large measured delta = measurement_artifact” should be in the spec. Until that is instrumented the falsifying assumption remains live.
 Independence note. Separate profiles satisfy the process rule we set. The
 **assistant:** **Path 1 — and one correction to Path 2 that matters more than the choice.**
 The claim is **untested, not dead.** #2 and #4 are *defects in the draft spec*; nothing has been run against the KXBTCD edge. Path 2 as written files an autopsy with cause = "statistical decisiveness + OOS window contamination." But that's a *documentation* defect, not a cause of death from evidence. Filing it would write a false death into the corpus — a claim recorded as dead that was never tested. That's the survivorship-bias back door this whole project exists to close. A corpus that lies about *why* something died is worse than no corpus.
 So:
 - **Path 1 (my pick):** planner closes #2 (CI lower bound or powered N + power calc) and #4 (strict post-registration window only), plus the spec bugs #1/#3/#5; reviewer re-reviews the revised spec only. Clean, and it actually exercises the harness under a valid test.
 - **Path 2, corrected:** if you'd rather drop this claim and move on, do it as a **withdrawal** (status: never-tested), *not* an autopsy. Same speed, honest record. The claim isn't dead — it was never run.
 Either way, no death gets recorded for a claim that was never executed. The only version I'd refuse is "file it as a death."
 Say **1** and I'll dispatch planner for the revision now, then reviewer on the revised spec. Say **2** and I'll have the recorder file a withdrawal (still no repo write until you approve the wording).
 ## 20261011-000707 session 20261010_154339_ceb19ec0
 **user:** Correction accepted.
 The claim is untested. #2 and #4 are defects in the draft spec, not evidence of death. Filing an autopsy that records a cause of death for a claim that was never executed would put a false death in the corpus. That is worse than no record.
 Path 2, if used, is a withdrawal (status: never-tested), not an autopsy.
 Path 1 confirmed.
 planner revises the spec to close:
 • #2 — one-sided CI lower bound > 0, or powered N plus an explicit power calculation
 • #4 — every kill-capable evaluation restricted to the strictly post-registration OOS window
 • plus the spec bugs #1, #3, and #5
 reviewer re-reviews only the revised spec.
 No repo writes and no autopsy until you approve the revised spec + reviewer verdict.
 Dispatch planner for the revision. Bring the revised spec and the reviewer’s second verdict here for the higher-reasoning pass.
 **assistant:** Round 2 done. Both artifacts below; **still uncommitted.**
 **Spec v1.1.0 (`planner`)** — all five prior changes materially addressed:
 - **#2** → `power_analysis` block, `required_N = 967` (N = (1.645+0.842)²·0.25/0.04²). K1 now requires **one-sided 95% lower bound > 0**, and states bare "mean > 0 is NOT sufficient."
 - **#4** → "whichever comes first" removed; every kill-capable metric (K1/K2/K3/K5) bounded **strictly to entries after the registration timestamp**; K1 stops exactly at N=967 (fixed-N OOS).
 - **#1** → `outcome_enum` now `{kept, killed, parked, inconclusive}` + `parked_semantics`.
 - **#3** → `latency_gating`: max book-vs-spot delta 1000 ms, spot-freshness 500 ms, max NTP skew 250 ms, per-venue server time cross-checked vs local NTP; **measured-but-exceeding delta → `measurement_artifact` (KILL)**.
 - **#5** → slippage now **instrumented** (per-fill realized fill-vs-mid, no flat tick), K3 stresses at 1.5×; K5 gets a Bonferroni-adjusted (α/3, z≈2.128) per-tercile test with an explicit borderline rule.
 **Reviewer second verdict: KILL-OR-PARK — all five CLOSED, one new defect.**
 - New issue #1: K1 carries an **undefined discretionary kill clause** — *"OR realized point estimate inconsistent with assumed_effect_size 0.04"* — no numeric bound, no tolerance. It reintroduces researcher discretion into the one gate that must be automatic, and it's **redundant** with the LB>0 test. Fix: define it numerically or delete it.
 - Minor (non-fatal): at ~322 markets/tercile with z
 ## 20261011-005120 session 20261010_154339_ceb19ec0
 **user:** Higher-reasoning pass: delete the discretionary clause, then the spec is a valid test.
 The new issue is real and load-bearing for process integrity. The clause “OR realized point estimate inconsistent with assumed_effect_size 0.04” has no numeric bound. It reintroduces researcher discretion into the one gate that must be automatic, and it is redundant with the one-sided lower-bound > 0 requirement. Delete it. Do not replace it with a new tolerance.
 The minor note on K5 is correctly flagged. At ~322 markets per tercile with the Bonferroni adjustment, edge_present(tercile) will almost never fire for a true 0.04 edge. Parking on regime dependence is near-inert. That is acceptable provided the borderline rule routes those cases to K1/K2 and the record does not treat “parked” as a live expected outcome.
 The residual risk (paper walk-the-book fills ≠ live-realizable fills; two correlated stale sources can both lag inside the 1000/500 ms gates) remains the weakest link. It does not invalidate the spec as a paper test. It does mean a later keep decision, if one ever occurs, still requires a live-fill measurement before any capital discussion.
 Decision
 Micro-revise: planner strikes the discretionary clause from K1. Reviewer re-reviews only that change.
 A PASS on the revised spec means only that the test is valid and pre-registered. It does not mean the KXBTCD edge exists. The harness run decides that.
 No repo write until the revised spec and the reviewer’s third verdict are both here 
 **assistant:** **Round 3 — PASS.** Final pair below; still nothing written or committed.
 **Spec v1.1.1 (`planner`)** — diff vs v1.1.0 is exactly two lines: `version: 1.1.1`, and K1's threshold now reads *only* `"one-sided 95% lower bound <= 0 (cannot establish positive edge above noise)"`. Verified: zero occurrences of the discretionary clause, no replacement tolerance added, `power_analysis.assumed_effect_size: 0.04` correctly retained.
 **Reviewer third verdict: PASS**
 - CLAUSE_REMOVED: yes. DANGLING_REFS: none. OTHER_REGRESSIONS: none.
 - All five v1.1.0 closures intact (required_N=967 + power calc; LB>0; strict post-registration OOS; closed enum + parked_semantics; latency gating with measured-but-exceeding → `measurement_artifact`; instrumented realized slippage; Bonferroni per-tercile K5). "K1's gate is now purely automatic."
 - Residual risk (its words): K1 now rests entirely on the one-sided LB at exactly N=967, where the spec's own derivation puts **expected LB ≈ 0.0135 — knife-edge above zero**. It presumes σ²≈0.25; if realized per-market variance runs higher (volatile regimes), N=967 **under-powers K1** and a genuine edge can fail on the variance model — a false KILL or a near-tie a viable edge can't clear.
 **Two coordinator notes before you approve:**
 1. **The knife-edge must be measured, not assumed.** The 0.0135 margin rides on σ²=0.25. The run has to log **realized per-market variance** from the start, so if it exceeds the basis we revise N **pre-registered, before** the clo