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zengbin93 authored Apr 13, 2022
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* 定义并实现 `信号-因子-事件-交易` 量化交易逻辑体系,因子是信号的线性组合,事件是因子的同类合并,详见 `czsc/objects.py`
* 定义并实现了若干种基于笔的信号,详见 `czsc/signals.py`

## 使用案例

* `examples/ts_fast_backtest.py` 股票市场择时策略快速回测
* `examples/ts_plates_sensor.py` 同花顺概念板块轮动策略回测
* `examples/ts_check_signal_acc.py` 验证信号计算的准确性,信号是否符合定义
* `examples/ts_stocks_sensors.py` 日线选股策略回测
* `examples/gm_backtest.py` 使用掘金终端进行缠论策略回测
* `examples/gm_realtime.py` 使用掘金终端进行策略实盘、仿真
* `examples/gm_check_point.py` 使用掘金终端的数据进行买卖点验证

## 问题讨论

>[discussions](https://github.com/zengbin93/czsc/discussions) 中提出了一些值得探讨的实战问题,欢迎积极参与讨论,我可以负责实现一些好的想法,代码开源。
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