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xRecyclerView setNestedScrollingEnabled 问题

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在xRecyclerView.setNestedScrollingEnabled(false)的情况下（若不设置列表会很卡顿），xRecyclerView无法显示加载更多（只出现一个空白的footer，多次点击空白footer处，有时会显示加载更多，有时不会，没有找到规律）； 在xRecyclerView.setNestedScrollingEnabled(true)的情况下（虽然列表很卡顿），xRecyclerView会正常加载更多。 请问这是什么情况？ 附： 布局是 NestedScrollView下嵌套 XRecyclerView； 'com.jcodecraeer:xrecyclerview:1.5.2' 1.5.5 都是如此；

How to predict the stock price in the future (such as the next week)?

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By default, it can only predict and backtest to the same day (trading day). How can I predict the stock price in the future (such as the next week/month)? thanks....

Copy and run these code from official RL example, but got below errors, please help check, thanks. https://github.com/microsoft/qlib/blob/main/examples/rl/simple_example.ipynb Training started /Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/env/venvs.py:66: UserWarning: You provided an environment generator that returned an...

exit code 139 (interrupted by signal 11:SIGSEGV)

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I always got this info ‘The process has ended with exit code 139 (interrupted by signal 11:SIGSEGV)’ at the end of log when i run 'python main.py' no matter what...

**Background** when i try to get data with default data_source="yahoofinance" , it shows below errors 1 Failed download: ['AXP']: Exception('%ticker%: No price data found, symbol may be delisted (1d 2020-02-22...

Will consider improving and enhancing the functionality and examples of Reinforcement Learning?

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Will consider improving and enhancing the functionality and examples of Reinforcement Learning? The current sample is running slowly and has not been updated for a long time. ![截屏2024-07-01 20 50...

@sunnyswag 感谢作者的辛勤工作，这个项目很顺利的在本地跑起来了（比FinRL的旅程顺畅太多，大大的赞），有2个疑惑寻求解答，谢谢。 1.为何train里面(model.learn) 用trade的env？ https://github.com/sunnyswag/StockRL/blob/main/learn/trainer.py --> line 52  2.trainer 和 trader 的主要职责和区别在哪些方面？ https://github.com/sunnyswag/StockRL/blob/main/learn/trainer.py https://github.com/sunnyswag/StockRL/blob/main/learn/trader.py 似乎从开始到 agent.get_model 这一步都是类似的，下一步 trainer 是 model.learn （学习？），trader 是 DRL_Agent.DRL_prediction （预测？）； 从 config 里的配置猜想，trader 主要是做回测的（tester？）； https://github.com/sunnyswag/StockRL/blob/main/utils/config.py...