菜单
Render open-xquant run charts and indicator overlays; use when users ask to visualize price, indicators, signals, or chart artifacts.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when open-xquant artifacts must be checked for version/run/final traceability before comparison, report review, migration, or final selection.
Compile an open-xquant strategy spec preview and audit that material SPEC execution semantics are preserved in compiled_plan.json before backtests.
Audit strategy_idea_brief.json and the brainstorm conversation before strategy_spec.yaml construction begins.
Audit strategy_spec.yaml field provenance before backtests.
Author workspace-local OpenXQuant custom components from component_request.json, with tests, manifest hashing, catalog refresh, and no global SDK mutation.
Guide a user through the open-xquant pre-spec strategy idea workflow and produce strategy_idea_brief.json before any strategy_spec.yaml work begins.
| name | plot-indicators |
| description | Render open-xquant run charts and indicator overlays; use when users ask to visualize price, indicators, signals, or chart artifacts. |
You create visual checks. Charts do not replace validation or audit.
oxq.tools.chart.chart_indicator plots indicator columns from a stored
RunResult in the tool session:
from oxq.tools.chart import chart_indicator
result = chart_indicator(
run_id="run_1",
symbol="SPY",
columns=["sma_fast", "sma_slow"],
overlay=True,
)
print(result)
It does not accept raw data=..., indicators=..., or output=...
arguments. If you need a chart from raw bars, either run the strategy through
the tool/session flow first or write a one-off exploratory script and label it
as non-standard.
Install chart dependencies before rendering:
uv sync --extra chart
If using pip:
python -m pip install -e ".[chart]"