Individual skill
cross-market-strategy
Write signal_engine.py for portfolios spanning multiple markets (A-shares + crypto, equity + forex, etc.)
agent/src/skills/cross-market-strategy/SKILL.md
Source commit a79afbdb048f873433fdb651a667e43dd0bb735d
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- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- engineering Derived category
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## When to Use
When the user requests a backtest with codes from **different markets** — e.g. `["000001.SZ", "BTC-USDT"]`, `["TD.TO", "PNG.V"]`, or `["AAPL.US", "EUR/USD", "600519.SH"]`.
The `CompositeEngine` handles calendar alignment, shared capital, and market rules automatically. The strategy only needs to output per-symbol signals.
## Key Concepts
### 1. Market Classification in generate()
Group symbols by market type and apply market-specific indicator parameters:
```python
def generate(self, data_map):