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.
Funding better evaluations of AI’s impact on wellbeing
Execution
Cross-asset
Funding / balance-sheet constraint: Transfer source: Funding better evaluations of AI’s impact on wellbeing Object ID: manual:intake Source URL: https://www.anthropic.com/news/wellbeing-research-grants 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.. Watch when intermediation capacity tightens and cash-futures or FX basis widens.
If Funding better evaluations of AI’s impact on wellbeing 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: Funding / balance-sheet constraint: Transfer source: Funding better evaluations of AI’s impact on wellbeing Object ID: manual:intake Source URL: https://www.anthropic.com/news/wellbeing-research-grants 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.. Watch when intermediation capacity tightens and cash-futures or FX basis widens.
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
Funding better evaluations of AI’s impact on wellbeing
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.