surpriver
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tradytics
Find big moving stocks before they move using machine learning and anomaly detection
Same error if I run from docker and from sources 100%|█████████████████████████████████████████████████████████████████████████████████████| 5693/5693 [10:14
After running the below: python detection_engine.py --top_n 25 --min_volume 5000 --data_granularity_minutes 60 --history_to_use 14 --is_load_from_dictionary 0 --data_dictionary_path 'dictionaries/data_dict.npy' --is_save_dictionary 1 --is_test 0 --future_bars 0 Here is the error message: Traceback...
Hello, I keep getting the following error while the script is running. `Exception __init__() got an unexpected keyword argument 'n'` Then, when finished, it gives this error: `Exception in thread...
Hello, I really like what you have done here and I've been messing around with it a bit. However it's a bit strange how you can only filter for volume...
Hi, I am going through the readme section to set up and run the package with docker. I am getting the following error when I run `docker-compose up -d`: ```...
Is there some sort of time decay in the score factor? If I run it now vs an hour from now using the same dictionary I'll get different Symbols, the...
If the model is being fit on the historical data + new data, doesn't it mean it'll perform less accurately when tested? https://github.com/tradytics/surpriver/blob/52417660e44c9533ba4dfc49f0dcb45c885d05dc/detection_engine.py#L203 https://github.com/tradytics/surpriver/blob/52417660e44c9533ba4dfc49f0dcb45c885d05dc/detection_engine.py#L204
### Description When trying to use the service locally there were some minor issues and easy ergonomic changes that could make this easy to run _and_ develop against locally. ###...
Hi, I found this project from GitHub trending chart. Exciting work! 😀 I wonder if data volume and speed have become a consideration for the project? If so, maybe we...
