Pipeline
Alpha Factory
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Browse the Zalpha strategy library in a dual-rail screener, then transfer papers into research drafts. Customize and backtest open in dashboard Strategies — live broker stays fail-closed.
manual:intakeAnthropic · 0 citations
Alpha Factory manual intake object.
Auto-crawl Anthropic, OpenAI, DeepMind, Hugging Face, and arXiv feeds. Pull a link into Factory intake, or ask Copilot to pressure-test the mechanism before drafting.
Dual-rail screener connected to Zalpha Strategies. Filter by family, open mechanism detail, then Use / Customize / Backtest in the live library.
Normalize paper, card, or manual idea into one object with title, source, summary, body, and tags.
Extract the actual force: funding pressure, liquidity fracture, behavioral flow, balance-sheet constraint, volatility regime, or execution edge.
Translate the mechanism into observable inputs: price, spread, funding, vol, positioning, term structure, or timing window.
Decide whether the candidate becomes a card, monitor, backtest hook, option-board object, or archive resident.
Aug 13, 2026Frontier Red TeamPatterns and problems in emerging multiagent systems
Execution
Cross-asset
Execution / microstructure edge: Transfer source: Aug 13, 2026Frontier Red TeamPatterns and problems in emerging multiagent systems Object ID: manual:intake Source URL: https://www.anthropic.com/research/multiagent-systems Goal: convert external research or internal knowledge into a strategy object candidate. Required output: mechanism, signal hypothesis, regime fit, execution constraints, failure modes, and next build route.. Adverse selection and schedule design determine whether the signal survives costs.
If Aug 13, 2026Frontier Red TeamPatterns and problems in emerging multiagent systems is correctly identified as a tradable force, then an observable proxy (price, spread, funding, vol, or positioning) should move with a defined timing window and fail closed when the regime inverts. Mechanism anchor: Execution / microstructure edge: Transfer source: Aug 13, 2026Frontier Red TeamPatterns and problems in emerging multiagent systems Object ID: manual:intake Source URL: https://www.anthropic.com/research/multiagent-systems Goal: convert external research or internal knowledge into a strategy object candidate. Required output: mechanism, signal hypothesis, regime fit, execution constraints, failure modes, and next build route.. Adverse selection and schedule design determine whether the signal survives costs.
Price / spread series / Volatility or regime proxy / Liquidity / funding proxy where relevant / Timestamped event or paper source
Directional variable / Timing window / Regime filter / Failure trigger
Overfit / Lagging signal / Crowded trade / Insufficient liquidity / Non-tradable data / Regime inversion
Aug 13, 2026Frontier Red TeamPatterns and problems in emerging multiagent systems
Execution
Cross-asset
Open ZChat with this Factory candidate as context — mechanism, expression, and invalidation.
Build RAG BasisPull evidence, related objects, contradictions, and route targets.
Promote to Codex CardTurn the candidate into a persistent library object.
Backtest HookPrepare rule logic for future testing or execution mapping.
Zalpha MonitorRoute to monitoring logic before pretending it is a strategy.
Archive / KillKeep it as research memory if it cannot become tradable.