David Ryan weytani

Apophis 2029 — Trade Synthesis

Source: HCP-MAD research runs (Liu et al., arXiv:2604.09679) — see hcp-mad/ (HCV-only) and hcp-mad-full/ (full-pipeline) for methodology artifacts. Date: 2026-04-18 | ~3 years to flyby (April 13, 2029) Confidence basis: Where HPAD consensus (Opus 4.7 bear ∥ Sonnet 4.6 bull, converged round 2) AND ECV independent reviewers agreed = High. Where HPAD and ECV diverged = sized smaller.

Not investment advice. Research artifact.

HCP-MAD Full Pipeline — Agent 2 (Sonnet 4.6, Bull-Primed)

Role: HCV / HPAD pair member Prior: Bull on base-rate stability (orbital mechanics calculable, reinsurance won't price what can't happen, retail noise not institutional) Round: HCV round 0 Tokens: 38,524 | Tool uses: 10 | Duration: 167s

1. Historical Precedents

HCP-MAD Full Pipeline — Agent 1 (Opus 4.7, Bear-Primed)

Role: HCV / HPAD pair member Prior: Bear-leaning tail-risk strategist (retail dominance, 0DTE gamma, viral misinfo make 2026 regime different from prior non-events) Round: HCV round 0 Tokens: 50,112 | Tool uses: 9 | Duration: 112s

1. Historical Precedents

HCP-MAD Methodology Comparison — Same Task, Two Runs

Task (identical in both runs): Historical analysis of market reactions to catastrophic predictions that became non-events, applied to predict market reactions to 99942 Apophis 2029 close approach. Date: 2026-04-18

Two runs of HCP-MAD (Liu et al., arXiv:2604.09679) on the SAME prompt, with different seeding and execution rules, to measure:

Answer stability across independent runs
Effect of adversarial seeding on stage progression
Token-cost profile per stage
ECV vs HPAD answer divergence when forced

Apophis 2029 Market-Reaction Analysis — HCP-MAD Full-Pipeline Run

Methodology: HCP-MAD (Heterogeneous Consensus-Progressive Multi-Agent Debate) — Liu et al., arXiv:2604.09679 Run type: Full-pipeline ablation — forced execution of all three stages Date: 2026-04-18 | ~3 years to flyby (April 13, 2029) Pair: Opus 4.7 (bear-primed) ∥ Sonnet 4.6 (bull-primed) Consensus mode: semantic-judge (Haiku 4.5)

Market Reactions to Catastrophic Non-Events: Historical Precedents and the Apophis 2029 Scenario

Model: claude-sonnet-4-6 Role: Agent 2 (HCV / HPAD pair member) Round: 0 (HCV) Date: 2026-04-18 | T-minus ~3 years to Apophis flyby

Section 1: Historical Precedents — Market Reactions to Catastrophic Predictions That Did Not Materialize

Apophis 2029 Market Reaction Analysis — Agent 1 (HCP-MAD)

Model: claude-opus-4-7 Role: Agent 1 (HCV / HPAD pair member) Round: 0 (HCV) Date: 2026-04-18

David, one preface: I did real web research via WebSearch/WebFetch. The consistent finding across ~15 queries is that measurable, clean market reactions to widely-publicized "non-event" catastrophic predictions are surprisingly thin in the public record — most reactions are muddied by concurrent macro events (dot-com, GFC aftermath) or are sector-specific anecdotes rather than index moves. I'll be honest about that limitation rather than fabricate precision.

Apophis 2029 Market-Reaction Analysis

Methodology: HCP-MAD (Heterogeneous Consensus-Progressive Multi-Agent Debate) — Liu et al., arXiv:2604.09679 Protocol stage resolved at: Stage 1 — HCV (Heterogeneous Consensus Verification), round 0 Consensus mode: semantic-judge (Haiku 4.5) Agent pair: Opus 4.7 ∥ Sonnet 4.6 (heterogeneous) Consensus token: mild-sector-transient Date: 2026-04-18 | ~3 years to flyby (April 13, 2029)

	{
	"startedAt": "2026-05-14T14:36:36.387Z",
	"endedAt": "2026-05-14T14:37:06.777Z",
	"task": "historically speaking, what would be some market opportunities you could exploit concerning the apophis asteroid event",
	"consensusMode": "discrete",
	"stageResolved": "HPAD",
	"roundsUsed": 1,
	"finalAnswer": "INSURANCE",
	"modelSettings": {
	"pair-1": {

	{
	"ecv_stage": "forced full-pipeline ablation — HPAD already converged at round 2",
	"beta": 0.5,
	"w_base": 1.0,
	"independent_group": {
	"model": "claude-haiku-4-5",
	"context": "task only, no debate history",
	"count": 3,
	"votes": [
	{