Dissecting AI Trading: Behavioral Finance and Market Bubbles
Compared to this week’s papers
Verification pending
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/dissecting-ai-trading-behavioral-finance-and-market-bubbles
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 3/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 3
- Coverage
- 50%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Dissecting AI Trading: Behavioral Finance and Market Bubbles
Canonical ID dissecting-ai-trading-behavioral-finance-and-market-bubbles | Route /signal-canvas/dissecting-ai-trading-behavioral-finance-and-market-bubbles
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/dissecting-ai-trading-behavioral-finance-and-market-bubblesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "dissecting-ai-trading-behavioral-finance-and-market-bubbles",
"query_text": "Summarize Dissecting AI Trading: Behavioral Finance and Market Bubbles"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Dissecting AI Trading: Behavioral Finance and Market Bubbles",
"normalized_query": "2604.18373",
"route": "/signal-canvas/dissecting-ai-trading-behavioral-finance-and-market-bubbles",
"paper_ref": "dissecting-ai-trading-behavioral-finance-and-market-bubbles",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Dissecting AI Trading: Behavioral Finance and Market Bubbles
PDF: https://arxiv.org/pdf/2604.18373v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-21T04:19:12.254Z
Signal Canvas receipt window
Not build-ready: Dissecting AI Trading: Behavioral Finance and Market Bubbles
/buildability/dissecting-ai-trading-behavioral-finance-and-market-bubbles
Subject: Dissecting AI Trading: Behavioral Finance and Market Bubbles
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/dissecting-ai-trading-behavioral-finance-and-market-bubbles
Paper ref
dissecting-ai-trading-behavioral-finance-and-market-bubbles
arXiv id
2604.18373
Freshness
Generated at
2026-04-21T04:19:12.254Z
Evidence freshness
fresh
Last verification
2026-04-21T04:19:12.254Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
bf7fcc71d0763831fc012e03785461945347639246c9388170d1ca71058297c8
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Dissecting AI Trading: Behavioral Finance and Market Bubbles
Canonical Paper Receipt
Last verification: 2026-04-21T04:19:12.254ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 3.0
GitHub Code Pulse
No public code linked for this paper yet.
Key claims
Startup potential card
Related Resources
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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