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Dobromir Popov
2025-02-12 01:38:05 +02:00
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crypto/gogo/readme.md
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To run this code:
Install Dependencies: pip install -r requirements.txt
@ -28,4 +27,4 @@ Overfitting: Monitor for overfitting (the model performing well on training data
Memory usage: the code uses a deque to store the data. This prevents out of memory errors and keeps only the most recent N samples.
Learned indicators: This is a complex part. you can create a new NN, that will be trained to predict the next candle data based only on HLOCV. the weights of this NN can be used as new indicators, concatenated to the others.
Learned indicators: This is a complex part. you can create a new NN, that will be trained to predict the next candle data based only on HLOCV. the weights of this NN can be used as new indicators, concatenated to the others.