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fidc-backtest-engine/docs/rqalpha-gap-roadmap.md
2026-04-23 06:34:07 -07:00

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# RQAlpha Gap Roadmap
This document tracks the remaining RQAlpha backtest capabilities that are not
yet fully aligned in `fidc-backtest-engine`, and the implementation order we
are following.
## Scope
This roadmap focuses on the China A-share stock backtest path first. Multi-asset
coverage such as futures/options is tracked separately and is not part of the
current alignment pass.
## Remaining Gaps
### Phase 1: Strategy API parity
- [x] `order_to` / target-shares style explicit order primitive
- [x] `order_target_portfolio(_smart)` style public API surface
- [ ] richer explicit order styles exposed to platform scripts
### Phase 2: Scheduling and execution surface
- [x] minute-level `time_rule` semantics like `market_open`, `market_close`,
`physical_time`
- [ ] finer `1m` / `tick` strategy execution entrypoints beyond `open_auction`
and `on_day`
- [x] scheduled actions evaluated against explicit intraday times
### Phase 3: Universe and subscription model
- [ ] `update_universe`
- [ ] `subscribe`
- [ ] `unsubscribe`
- [ ] tick-frequency subscription guards exposed at strategy API level
### Phase 4: Algo order parity
- [ ] `VWAPOrder`
- [ ] `TWAPOrder`
- [ ] `order_target_portfolio_smart(..., order_prices=AlgoOrder, valuation_prices=...)`
### Phase 5: Position accounting parity
- [ ] `trading_pnl`
- [ ] `position_pnl`
- [ ] `dividend_receivable`
- [ ] richer position lifecycle fields exposed to strategy runtime
## Execution Order
1. Close the explicit order API gap with target-shares / `order_to` parity.
2. Add public batch target-portfolio semantics.
3. Expand scheduler to intraday time rules.
4. Add dynamic universe APIs.
5. Add algo-order styles.
6. Finish position accounting parity.
## Current Step
Active implementation target: Phase 3, dynamic universe and subscription model.