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Context (Step 3 — do not start before Step 2 lands)
Prepare controlled live readiness without making live trading reachable by default. Hard constraints from the brief: no
LLM ever executes; deterministic ...
infra
step-3
Context
The research agent uses structured market/fundamental data only. The brief s knowledge layer (filings, earnings calls,
notes, PDFs) is deferred — ResearchDocument table already exists, unused. ...
agents
data
step-2
Problem
The inline script metadata (# /// script blocks) in the notebooks has drifted behind pyproject.toml — e.g.
book/marimo/notebooks/Experiment1.py pins marimo==0.23.1 / numpy==2.4.4 while pyproject ...
enhancement
Text Annotation Lab (TAL) - Epic
The Text Annotation Lab standardises text annotation across all XENI pipelines. Where AAL handles speech, TAL handles
text — providing a shared, reusable framework for ...
complexity-easy
enhancement
pipelines
priority-high
Always evaluate the minimal polynomials before returning by asserting equality to 0.
Context
Strategy versions are immutable and listed, but cannot be compared; performance is not attributed to
positions/sectors/decisions.
Scope
- [ ] Side-by-side version diff (rules, limits, universe) ...
step-2
ui
Context
Backtests use vectorbt with flat 10 bps fees, no slippage, no scenario testing. Step 2 of the plan: stronger backtesting
and stress testing.
Scope
- [ ] Slippage + configurable transaction-cost ...
risk-engine
step-2
Context
Bull Bear agents exist per stock (adversarial buy/sell cases). The brief s Step 2 asks for a debate/review workflow and
a red-team agent that tries to disprove the strategy itself.
Scope
- ...
agents
step-2
Context
run_proposals sizes positions equal-weight (min of max_position_weight and 1/max_positions). Step 2 of the plan calls
for risk-aware allocation.
Scope
- [ ] skfolio-based optimizer: target ...
risk-engine
step-2

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