Alpha Factory

Strategy screener → draft pipeline

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.

Alpha IntakeManual Alpha Intakemanual:intake

MANUAL · 0 citations

Alpha Factory manual intake object.

Strategy Screener

Quant desk strategy library

Dual-rail screener connected to Zalpha Strategies. Filter by family, open mechanism detail, then Use / Customize / Backtest in the live library.

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Manual Intake

Turn a raw idea into an Alpha Draft

v0
01

Intake

Normalize paper, card, or manual idea into one object with title, source, summary, body, and tags.

02

Mechanism

Extract the actual force: funding pressure, liquidity fracture, behavioral flow, balance-sheet constraint, volatility regime, or execution edge.

03

Signal

Translate the mechanism into observable inputs: price, spread, funding, vol, positioning, term structure, or timing window.

04

Route

Decide whether the candidate becomes a card, monitor, backtest hook, option-board object, or archive resident.

Draft Skeleton

Strategy Object Candidate

raw
Name

Manual Alpha Intake

Object Type

Execution

Asset Class

Cross-asset

Mechanism

Execution / microstructure edge: Transfer source: manual:intake Object ID: manual:intake 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.

Hypothesis

If Manual Alpha Intake 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: manual:intake Object ID: manual:intake 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.

Required Data

Price / spread series / Volatility or regime proxy / Liquidity / funding proxy where relevant / Timestamped event or paper source

Signal Inputs

Directional variable / Timing window / Regime filter / Failure trigger

Failure Modes

Overfit / Lagging signal / Crowded trade / Insufficient liquidity / Non-tradable data / Regime inversion

View Drafts
Memory

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Related notes from ZTrader memory. Open full Memory search →

No query has been run yet. Which is tragically normal for most knowledge systems, but we are trying to evolve past decorative databases.
Route Decision

Where should this object go?

raw
Candidate

Manual Alpha Intake

Object Type

Execution

Asset Class

Cross-asset

Zalpha Strategies/alpha/strategiesLibrary Objects/cardsExecution Layer/option-blackboardResearch Radar/topics